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<?xml version="1.0" encoding="UTF-8"?><catalog><dataset><title>Agriculture Law and Administrative Law Judge Decisions</title><description>Agriculture Law and Statuary Proceedings Conducted by Administrative Law Judges, Rule Making, Rules of Practice, and Agencies Administering the statute. Contains Statuary Decision Opinions of the United State Department of Agriculture Office of Administrative law Judges and Judicial Officer. There are approximately 40 statutes administered by agencies within the Department of Agriculture that require Administrative Procedure Act (APA) hearings. The Judges issue initial decisions and orders in adjudicatory proceedings which become final decisions of the Secretary unless appealed to the Secretary's Judicial Officer by a party to the proceedings.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1D</accrualPeriodicity><describedBy>http://www.usda.gov/oaljdecisions</describedBy><issued>1998-01-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>50 states</spatial><identifier>USDA-4363</identifier><publisher><name>Departmental Management, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>james.hurt@usda.gov</emailAddress><fn>James Hurt</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:00</bureauCode><programCode>005:000</programCode><references>http://www.usda.gov/dm/oaljdecisions</references><distribution><downloadURL>http://www.dm.usda.gov/oaljdecisions/</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Evidence for polyphosphate accumulating organism (PAO)-mediated phosphorus cycling in stream biofilms under alternating aerobic/anaerobic conditions</title><description>&lt;p&gt;Phosphorus availability often limits primary production in freshwater ecosystems and excessive P inputs promote accelerated eutrophication. Microbial mechanisms may control O2-dependent uptake/release of P in stream sediments and biofilms, but specific organisms responsible for these cycles have not been identified. Polyphosphate Accumulating Organisms (PAOs) are purposely enriched in treatment plants to remove P from wastewater. PAOs release P under anaerobic conditions and take it up under aerobic conditions. It is hypothesized that alternating aerobic/anaerobic conditions promote patterns of P uptake/release similar to those attributed to PAOs in wastewater treatment. Intact, native stream biofilms were collected in the Cascadilla Creek Watershed in Tompkins County, New York, and subjected to laboratory treatments to impose conditions similar to what may occur because of diel oxygenic and respiratory cycles: 1) continuous sparging with air and 2) alternate sparging with air or anaerobic gas (20∶80% by volume CO2∶N2). PO43−, Ca, Mg, total Mn, K, Fe2+, and total S (TS) concentrations in the water were monitored and total P (TP) and polyphosphate (polyP) concentrations in the biofilms at the start and end of the experiment. Microscopy and polymerase chain reaction (PCR) were used to quantify the percentage of cells with stored intracellular polyP and to test for known PAO genes, respectively.&lt;/p&gt;
&lt;p&gt;This dataset comprises the data, analysis scripts, and visualization scripts for the paper by Saia et al. entitled 'Evidence for polyphosphate accumulating organism (PAO)-mediated phosphorus cycling in stream biofilms under alternating aerobic/anaerobic conditions. Complete dataset description including information on associated journal article, data, and data analysis R scripts can be found at &lt;a href="https://github.com/sheilasaia/paper-p-cycling-in-stream-biofilms/tree/v1.0_for_publication"&gt;https://github.com/sheilasaia/paper-p-cycling-in-stream-biofilms/tree/v1...&lt;/a&gt;.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-18</modified><spatial>POINT (-76.507415771484 42.451708009821)</spatial><identifier>1757fec5-0835-4322-853f-d0b8f1b3b0ae</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>sms493@cornell.edu</emailAddress><fn>Saia, Sheila M.</fn></contactPoint><bureauCode>005:00, 005:18, 005:53</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://github.com/sheilasaia/paper-p-cycling-in-stream-biofilms</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://doi.org/10.5281/zenodo.242599</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://github.com/sheilasaia/paper-p-cycling-in-stream-biofilms/blob/master/README.md</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>NAD Website</title><description>The National Appeals Division (NAD) is responsible for listening to farmers and other rural program participants concerning their disputes with certain agencies within the Department of Agriculture (USDA) and reaching the right decision for the right reason through fair and impartial administrative hearings and appeals. Archived and redacted appealability, hearing, review, reconsideration and Equal Access to Justice Act (EAJA) decisions issued by NAD are available on the Web.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1D</accrualPeriodicity><describedBy>http://www.nad.usda.gov/</describedBy><issued>2004-01-01</issued><modified>2014-02-28</modified><spatial>United States and its territories</spatial><identifier>USDA-9151</identifier><publisher><name>National Appeals Division, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>steven.placek@nad.usda.gov</emailAddress><fn>Steven Placek</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:00</bureauCode><programCode>005:059</programCode><references>http://www.nad.usda.gov/</references><distribution><downloadURL>http://www.nad.usda.gov/public_search.html</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Department of Agriculture Congressional Logs for Fiscal Year 2014</title><description>This dataset is Congressional Correspondence from the Office of the Executive Secretariat for the Department of Agriculture.</description><accessLevel>public</accessLevel><modified>2014-10-03</modified><identifier>USDA-DM-002</identifier><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Alexis.Graves@ocio.usda.gov</emailAddress><fn>Alexi Graves</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:12</bureauCode><programCode>005:059</programCode><distribution><downloadURL>http://www.dm.usda.gov/foia/docs/Copy%20of%20ECM%20Congressional%20Logs%20FY14.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Congressional Logs for Fiscal Year 2014</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Department of Agriculture Enterprise Data Inventory</title><description>The USDA EDI with non-public assets. This file contains the metadata for the USDA's EDI as defined by the Project Open Data.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P3M</accrualPeriodicity><modified>2015-02-28</modified><identifier>usda-ocio-15-01</identifier><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>brian.brotsos@usda.gov</emailAddress><fn>Brian Brotsos</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:12</bureauCode><programCode>005:059</programCode><distribution><downloadURL>http://www.usda.gov/data-edi.json</downloadURL><mediaType>application/json</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Department of Agriculture Secretary's Calendar Schedule</title><description>This dataset is a listing of the Secretary of Agriculture's public schedule.</description><accessLevel>public</accessLevel><modified>2014-10-03</modified><identifier>USDA-DM-003</identifier><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Alexis.Graves@ocio.usda.gov</emailAddress><fn>Alexi Graves</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:12</bureauCode><programCode>005:059</programCode><distribution><downloadURL>http://www.usda.gov/wps/portal/usda/usdahome?contentidonly=true&amp;contentid=secretary-schedule.xml</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Department of Agriculture Secretary's Calendar Schedule</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Realized Cost Savings and Avoidance</title><description>The OMB Office of the Chief Information Officer (OFCIO) has a long-standing practice of making information about Federal IT available to the public through various tools and reports to Congress. Consistent with this practice, OMB OFCIO will be making agency cost savings and avoidances data available to the public via http://www.whitehouse.gov/omb/e-gov. This dataset links to USDAs Realized Cost Savings and Avoidances data in JSON format.</description><accessLevel>public</accessLevel><license>https://creativecommons.org/publicdomain/zero/1.0</license><modified>2015-11-30</modified><identifier>usda-ocio-15-010</identifier><publisher><subOrganization><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher></subOrganization><name>Office of Chief Information Officer</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Naomi.Gumbs@ocio.usda.gov</emailAddress><fn>Naomi Gumbs</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:12</bureauCode><programCode>005:059</programCode><distribution><conformsTo>https://management.cio.gov/schema/</conformsTo><describedBy>https://management.cio.gov/schemaexamples/costSavingsAvoidanceSchema.json</describedBy><describedByType>application/json</describedByType><downloadURL>http://www.usda.gov/digitalstrategy/costsavings.json</downloadURL><mediaType>application/json</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Active Purchase Card Holders</title><description>The list of Active Purchase Card Holders is the most up-to-date list of USDA card holders, along with their contact information (i.e. name, address and e-mail address).</description><accessLevel>public</accessLevel><modified>2014-03-01</modified><identifier>usda-dm-006</identifier><publisher><name>Department of Agriculture, OCIO</name><type>org:Organization</type></publisher><contactPoint><emailAddress>alexis.graves@ocio.usda.gov</emailAddress><fn>Alexis Graves</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:12</bureauCode><programCode>005:059</programCode><distribution><downloadURL>http://www.dm.usda.gov/procurement/ccsc/docs/FOIARequestUSDAActivePurchaseCardholdersExceptOIGasof030714.xlsx</downloadURL><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><title>March 2014</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Annual FOIA Report</title><description>In accordance with its FOIA regulations, USDA makes records available to the public unless the information is protected from disclosure by one or more of the nine specific FOIA exemptions. This is USDA's required FOIA annual report for the Department of Justice.</description><accessLevel>public</accessLevel><modified>2014-03-14</modified><identifier>USDA-DM-004</identifier><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Alexis.Graves@ocio.usda.gov</emailAddress><fn>Alexi Graves</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:12</bureauCode><programCode>005:059</programCode><distribution><downloadURL>http://www.dm.usda.gov/foia/docs/USDA.FY13.Final.xml</downloadURL><mediaType>application/xml</mediaType><title>2013 FOIA Annual Report</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.dm.usda.gov/foia/docs/USDA%20FY13%20FOIA%20Annual%20Report.docx</downloadURL><mediaType>application/vnd.openxmlformats-officedocument.wordprocessingml.document</mediaType><title>2013 USDA FOIA Annual Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Bureau IT Leadership Directory</title><description>This is a list of all USDA employees with role of CIO. This requirement comes from FITARA legislation and more details can be found at http://management.cio.gov &#13;
&#13;
"CIO and CHCO will conduct a survey of all bureau CIOs and CIO and CHCO will jointly publish a dataset identifying all bureau officials with title of CIO or duties of a CIO. This shall be posted as a public dataset based on instructions in the IDC by August 15, 2015 and kept up-to-date thereafter. &#13;
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The report will identify for each: – Employment type (e.g. GS, SES, SL, ST, etc.) – Type of appointment (e.g. career, appointed, etc.) – Other responsibilities (e.g. full-time CIO or combination CIO/CFO) – Evaluation “rating official” (e.g. bureau head, other official) – Evaluation “reviewing official” (if used) – Whether [agency] CIO identifies this bureau CIO as a “key bureau CIO” and thus requires the [agency] CIO to provide the rating official input into the agency-wide critical element(s)"</description><accessLevel>public</accessLevel><landingPage>http://www.usda.gov/wps/portal/usda/usdahome?navid=it-bureau-directory</landingPage><modified>2015-08-15</modified><identifier>usa-ocio-15-0009</identifier><publisher><subOrganization><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher></subOrganization><name>Office of Chief Information Officer</name><type>org:Organization</type></publisher><contactPoint><emailAddress>brian.brotsos@usda.gov</emailAddress><fn>Brian Brotsos</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:12</bureauCode><programCode>005:059</programCode><distribution><describedBy>https://management.cio.gov/schema</describedBy><downloadURL>http://www.usda.gov/digitalstrategy/bureaudirectory.json</downloadURL><mediaType>application/json</mediaType><title>USDA IT Bureau Leadership JSON download</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Governance Boards</title><description>USDA CIO Governance Board Membership List include all governance boards the CIO is a member of. Agencies shall keep this list up to date at least annually beginning in April 2016. This file is distributed for FITARA guidance https://management.cio.gov/ and more information on this format can be found at https://management.cio.gov/schema/</description><accessLevel>public</accessLevel><landingPage>http://www.usda.gov/wps/portal/usda/usdahome?navid=it-governance-boards</landingPage><license>http://creativecommons.org/publicdomain/zero/1.0/</license><modified>2015-08-27</modified><identifier>usda-ocio-15-0008</identifier><publisher><subOrganization><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher></subOrganization><name>Office of Chief Information Officer</name><type>org:Organization</type></publisher><contactPoint><emailAddress>brian.brotsos@usda.gov</emailAddress><fn>Brian Brotsos</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:12</bureauCode><programCode>005:059</programCode><distribution><downloadURL>http://www.usda.gov/digitalstrategy/governanceboards.json</downloadURL><mediaType>application/json</mediaType><title>Governance Boards</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA IT Policy Archive</title><description>Per the requirements of the Federal Information Technology Acquisition Reform Act (FITARA) and the Office of Management and Budget's (OMB) implementation guidance, USDA is providing alternative access to the titles and links for the Department's IT policies at this new Web page. A compressed archive file (zip file type) with USDA’s IT policies is also being made available at this Web page. The compressed archive file provides links to the authoritative copies of the cited Departmental directives, their descriptions, and document copies in htm and pdf file formats.</description><accessLevel>public</accessLevel><landingPage>http://www.usda.gov/digitalstrategy/policyarchive</landingPage><modified>2015-08-27</modified><identifier>USDA-OCIO-15-0012</identifier><publisher><subOrganization><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher></subOrganization><name>Office of Chief Information Officer</name><type>org:Organization</type></publisher><contactPoint><emailAddress>OCIO-P&amp;D@ocio.usda.gov</emailAddress><fn>Norbert H. Snobeck</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:12</bureauCode><programCode>005:059</programCode><distribution><downloadURL>http://www.usda.gov/digitalstrategy/policyarchive.zip</downloadURL><mediaType>application/zip</mediaType><title>USDA IT Policy</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Purchase Card Transaction Report</title><description>The USDA Purchase Card Transaction Report list all transactions for a specific period of time. The Purchase Card Transaction Report lists specific purchase (transaction) data such as the following: card holder’s name, visa merchant ID, address, work phone number, e-mail address, MCC code, transaction date, transaction amount, merchant name, merchant address, merchant phone number and the post date.</description><accessLevel>public</accessLevel><modified>2010-12-13</modified><identifier>usda-dm-0007</identifier><publisher><name>Department of Agriculture, OCIO</name><type>org:Organization</type></publisher><contactPoint><emailAddress>alexis.graves@ocio.usda.gov</emailAddress><fn>Alexis Graves</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:12</bureauCode><programCode>005:059</programCode><distribution><downloadURL>http://www.dm.usda.gov/R162105A.XLS</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Report 1</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.dm.usda.gov/R162105B.XLS</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Report 2</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.dm.usda.gov/R162105C.XLS</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Report 3</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>ARMS Farm Financial and Crop Production Practices</title><description>The annual Agricultural Resource Management Survey (ARMS) is USDA's primary source of information on the financial condition, production practices, and resource use of America's farm businesses and the economic well-being of America's farm households. ARMS data are essential to USDA, congressional, administration, and industry decision makers when weighing alternative policies and programs that touch the farm sector or affect farm families.&#13;
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The ERS content and data APIs (including our pre-made widgets for embedding charts) are currently out of service while we redesign our site. Check back here for updates--we'll keep you informed as to the progress. Contact us at webadmin@ers.usda.gov with questions.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/arms-farm-financial-and-crop-production-practices/documentation.aspx</describedBy><issued>2013-11-26</issued><modified>2015-01-29</modified><spatial>United States</spatial><temporal>1996-01-01/2012-01-01</temporal><identifier>USDA-ERS-02580</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>morehart@ers.usda.gov</emailAddress><fn>Mitch Morehart</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>https://www.ers.usda.gov/data-products/arms-farm-financial-and-crop-production-practices/documentation/</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/arms-farm-financial-and-crop-production-practices/tailored-reports-farm-structure-and-finance.aspx</downloadURL><mediaType>text/html</mediaType><title>Query tool - Farm structure and finance</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.ers.usda.gov/data-products/arms-farm-financial-and-crop-production-practices/tailored-reports-crop-production-practices.aspx</downloadURL><mediaType>text/html</mediaType><title>Query tool - Crop production practices</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Adoption of Genetically Engineered Crops in the U.S.</title><description>This data product summarizes the extent of adoption of herbicide-tolerant (HT), insect-resistant (Bt), and those with both traits ("stacked") genetically engineered (GE) crops in the United States. Data cover GE varieties of corn, cotton, and soybeans over the 2000-2013 period, for the U.S.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/adoption-of-genetically-engineered-crops-in-the-us/documentation.aspx</describedBy><issued>2005-07-07</issued><modified>2014-03-19</modified><spatial>United States</spatial><temporal>2000-01-01/2012-01-01</temporal><identifier>USDA-04708</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jorgef@ers.usda.gov</emailAddress><fn>Jorge Fernandez-Cornejo</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/adoption-of-genetically-engineered-crops-in-the-us/documentation.aspx</references><distribution><description>Web page with link to Excel file.</description><downloadURL>http://www.ers.usda.gov/data-products/adoption-of-genetically-engineered-crops-in-the-us.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Data file</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Ag and Food Statistics: Charting the Essentials</title><description>A collection of over 75 charts and maps presenting key statistics on the farm sector, food spending and prices, food security, rural communities, the interaction of agriculture and natural resources, and more.&#13;
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How much do you know about food and agriculture? What about rural America or conservation? ERS has assembled more than 75 charts and maps covering key information about the farm and food sectors, including agricultural markets and trade, farm income, food prices and consumption, food security, rural economies, and the interaction of agriculture and natural resources.&#13;
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How much, for example, do agriculture and related industries contribute to U.S. gross domestic product? Which commodities are the leading agricultural exports? How much of the food dollar goes to farmers? How do job earnings in rural areas compare with metro areas? How much of the Nation’s water is used by agriculture? These are among the statistics covered in this collection of charts and maps—with accompanying text—divided into the nine section titles.</description><accessLevel>public</accessLevel><issued>2013-12-11</issued><modified>2014-03-19</modified><identifier>USDA-ERS-00051</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>eleibtag@ers.usda.gov</emailAddress><fn>Ephraim Leibtag</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><description>chart gallery</description><downloadURL>http://www.ers.usda.gov/data-products/ag-and-food-statistics-charting-the-essentials/ag-and-food-sectors-and-the-economy.aspx</downloadURL><mediaType>image/png</mediaType><title>Ag and Food Sectors and the Economy</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.ers.usda.gov/data-products/ag-and-food-statistics-charting-the-essentials/land-and-natural-resources.aspx</downloadURL><mediaType>text/html</mediaType><title>Land and Natural Resources</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.ers.usda.gov/data-products/ag-and-food-statistics-charting-the-essentials/farming-and-farm-income.aspx</downloadURL><mediaType>text/html</mediaType><title>Farming and Farm Income</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.ers.usda.gov/data-products/ag-and-food-statistics-charting-the-essentials/rural-economy.aspx</downloadURL><mediaType>text/html</mediaType><title>Rural Economy</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.ers.usda.gov/data-products/ag-and-food-statistics-charting-the-essentials/agricultural-production-and-prices.aspx</downloadURL><mediaType>text/html</mediaType><title>Agricultural Production and Prices</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.ers.usda.gov/data-products/ag-and-food-statistics-charting-the-essentials/agricultural-trade.aspx</downloadURL><mediaType>text/html</mediaType><title>Agricultural Trade</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.ers.usda.gov/data-products/ag-and-food-statistics-charting-the-essentials/food-availability-and-consumption.aspx</downloadURL><mediaType>text/html</mediaType><title>Food Availability and Consumption</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.ers.usda.gov/data-products/ag-and-food-statistics-charting-the-essentials/food-prices-and-spending.aspx</downloadURL><mediaType>text/html</mediaType><title>Food Prices and Spending</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.ers.usda.gov/data-products/ag-and-food-statistics-charting-the-essentials/food-security-and-nutrition-assistance.aspx</downloadURL><mediaType>text/html</mediaType><title>Food Security and Nutrition Assistance</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Agricultural Baseline Database</title><description>The agricultural baseline database provides longrun, 10-year projections from USDA's annual long-term projections report. The database covers projections for major field crops (corn, sorghum, barley, oats, wheat, rice, soybeans, and upland cotton), and livestock (beef, pork, poultry and eggs, and dairy).</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/agricultural-baseline-database/documentation.aspx</describedBy><issued>2003-02-13</issued><modified>2014-03-19</modified><spatial>United States</spatial><temporal>1999-01-01/2022-01-01</temporal><identifier>USDA-ERS-02576</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>westcott@ers.usda.gov</emailAddress><fn>Paul Westcott</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/agricultural-baseline-database/documentation.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/agricultural-baseline-database/custom-queries.aspx</downloadURL><mediaType>text/html</mediaType><title>Query tool</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Agricultural Exchange Rate Data Set</title><description>This data set contains annual and monthly data for exchange rates important to U.S. agriculture. It includes both nominal and real exchange rates for 79 countries, plus the European Union (EU), as well as real trade-weighted exchange rate indexes for many commodities and aggregations.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P2M</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/agricultural-exchange-rate-data-set/documentation.aspx</describedBy><issued>2013-11-04</issued><modified>2014-03-19</modified><spatial>United States</spatial><temporal>1970-01-01/2013-11-01</temporal><identifier>USDA-ERS-00052</identifier><publisher><name>Economic Research Service, US Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>mshane@ers.usda.gov</emailAddress><fn>Mathew Shane</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/agricultural-exchange-rate-data-set/faqs.aspx, http://www.ers.usda.gov/data-products/agricultural-exchange-rate-data-set/example-of-trade-weighted-exchange-rate.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/agricultural-exchange-rate-data-set.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Agricultural Outlook Statistical Indicators</title><description>The statistical indicator tables formerly provided in Agricultural Outlook magazine are no longer being updated. The data provided in most of those tables are maintained online elsewhere on the ERS website or by the primary data providers. Below are links to the online sources for most of the tables. Several tables have been discontinued because current data are no longer available.</description><accessLevel>public</accessLevel><modified>2014-06-17</modified><spatial>United States</spatial><identifier>USDA-ERS-00103</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>mlandes@ers.usda.gov</emailAddress><fn>Maurice Landes</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><downloadURL>http://www.ers.usda.gov/data-products/agricultural-outlook-statistical-indicators.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Agricultural Productivity in the U.S.</title><description>Increased productivity is the main contributor to growth in U.S. agriculture. This data set provides estimates of productivity growth in the U.S. farm sector for the 1948-2011 period, and estimates of the growth and relative levels of productivity across the States for the period 1960-2004.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/agricultural-productivity-in-the-us.aspx</describedBy><issued>2010-02-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States, States</spatial><temporal>1948-01-01/2011-01-01</temporal><identifier>USDA-ERS-05407</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>eball@ers.usda.gov</emailAddress><fn>Eldon Ball</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/agricultural-productivity-in-the-us.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/agricultural-productivity-in-the-us.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Agricultural Research Funding in the Public and Private Sectors</title><description>Data for public and private funding of food and agricultural research and development cover the years 1970-2009 (public) and 1970-2007 (private). 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These effects, when expressed as multipliers, reflect the amount of economic activity and/or jobs generated by agricultural exports.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/agricultural-trade-multipliers/glossary.aspx</describedBy><issued>2003-01-01</issued><modified>2014-03-19</modified><spatial>United States</spatial><temporal>2011/2011</temporal><identifier>USDA-ERS-26041</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>spersaud@ers.usda.gov</emailAddress><fn>Suresh Persaud</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/agricultural-trade-multipliers/ers-estimates.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/dataFiles/ATMCalculator/2011MultipliersProducerPort.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Detailed ERS Producer and Port Multipliers by Commodity</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.ers.usda.gov/data-products/agricultural-trade-multipliers/calculator.aspx</downloadURL><mediaType>text/html</mediaType><title>Online calculator</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Aquaculture Data</title><description>Aquaculture is the production of aquatic animals and plants under controlled conditions for all or part of their lifecycle. 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These charts were selected by ERS editors as those worthy of a second read because they provide context for the year’s headlines or share key insights from ERS research.</description><accessLevel>public</accessLevel><issued>2013-12-31</issued><modified>2014-02-28</modified><temporal>2013/2014</temporal><identifier>USDA-ERS-10000</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webadmin@ers.usda.gov</emailAddress><fn>Website Administrator</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>https://www.ers.usda.gov/data-products/best-of-charts-of-note-2013/</references><distribution><accessURL>https://www.ers.usda.gov/data-products/best-of-charts-of-note-2013/</accessURL><title>Chart gallery</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Best of Charts of Note 2014</title><description>This chart gallery is a collection of the best Charts of Note for 2014. These charts were selected by ERS editors as those worthy of a second read because they provide context for the year’s headlines or share key insights from ERS research.</description><accessLevel>public</accessLevel><issued>2014-12-31</issued><modified>2014-02-28</modified><temporal>2014/2015</temporal><identifier>USDA-ERS-10001</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webadmin@ers.usda.gov</emailAddress><fn>Website Administrator</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>https://www.ers.usda.gov/data-products/best-of-charts-of-note-2014/</references><distribution><accessURL>https://www.ers.usda.gov/data-products/best-of-charts-of-note-2014/</accessURL><title>Chart gallery</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Best of Charts of Note 2015</title><description>This chart gallery is a collection of the best Charts of Note for 2015. These charts were selected by ERS editors as those worthy of a second read because they provide context for the year’s headlines or share key insights from ERS research.</description><accessLevel>public</accessLevel><issued>2015-12-31</issued><modified>2014-02-28</modified><temporal>2015/2016</temporal><identifier>USDA-ERS-10002</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webadmin@ers.usda.gov</emailAddress><fn>Website Administrator</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>https://www.ers.usda.gov/data-products/best-of-charts-of-note-2015/</references><distribution><accessURL>https://www.ers.usda.gov/data-products/best-of-charts-of-note-2015/</accessURL><title>Chart gallery</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Best of Charts of Note 2016</title><description>This chart gallery is a collection of the best Charts of Note for 2016. These charts were selected by ERS editors as those worthy of a second read because they provide context for the year’s headlines or share key insights from ERS research.</description><accessLevel>public</accessLevel><issued>2016-12-31</issued><modified>2014-02-28</modified><temporal>2016/2017</temporal><identifier>USDA-ERS-10003</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webadmin@ers.usda.gov</emailAddress><fn>Website Administrator</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>https://www.ers.usda.gov/data-products/best-of-charts-of-note-2016/</references><distribution><accessURL>https://www.ers.usda.gov/data-products/best-of-charts-of-note-2016/</accessURL><title>Chart gallery</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Chart Gallery</title><description>A collection of charts from the ERS website.</description><accessLevel>public</accessLevel><issued>2103-12-17</issued><modified>2014-03-19</modified><identifier>USDA-ERS-00053</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webadmin@ers.usda.gov</emailAddress><fn>Website Administrator</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><description>Hundreds of charts by topic.</description><downloadURL>http://www.ers.usda.gov/data-products/chart-gallery.aspx</downloadURL><mediaType>image/png</mediaType><title>Gallery</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Charts of Note</title><description>Charts of Note from ERS is distributed Monday-Friday by the Economic Research Service to highlight charts of interest from our current and past research.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1D</accrualPeriodicity><modified>2014-03-19</modified><identifier>USDA-ERS-00054</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webadmin@ers.usda.gov</emailAddress><fn>Website Administrator</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><downloadURL>http://www.ers.usda.gov/data-products/charts-of-note.aspx</downloadURL><mediaType>image/png</mediaType><title>Gallery of charts of note</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>China Agricultural and Economic Data</title><description>The China agricultural and economic database is a collection of agricultural-related data from official statistical publications of the People's Republic of China. Analysts and policy professionals around the world need information about the rapidly changing Chinese economy, but statistics are often published only in China and sometimes only in Chinese-language publications. This product assembles a wide variety of data items covering agricultural production, inputs, prices, food consumption, output of industrial products relevant to the agricultural sector, and macroeconomic data.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/china-agricultural-and-economic-data/documentation.aspx</describedBy><issued>2005-07-22</issued><landingPage>https://www.ers.usda.gov/data-products/china-agricultural-and-economic-data/</landingPage><modified>2014-03-19</modified><spatial>China</spatial><temporal>1949-01-01/2012-01-01</temporal><identifier>USDA-ERS-05405</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>fgale@ers.usda.gov</emailAddress><fn>Fred Gale</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/china-agricultural-and-economic-data/readings.aspx</references><distribution><accessURL>https://data.ers.usda.gov/reports.aspx?ID=17884</accessURL><title>Query tool</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Commodity Consumption by Population Characteristics</title><description>ERS examines consumer food preferences by age, income, region, race, whether people eat at home or away, and other characteristics.</description><accessLevel>public</accessLevel><describedBy>http://www.ers.usda.gov/data-products/commodity-consumption-by-population-characteristics/documentation.aspx</describedBy><issued>2012-09-18</issued><modified>2014-03-19</modified><identifier>USDA-ERS-00055</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>blin@ers.usda.gov</emailAddress><fn>Biing-Hwan Lin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><downloadURL>http://www.ers.usda.gov/data-products/commodity-consumption-by-population-characteristics.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Commodity Costs and Returns</title><description>Cost and return estimates are reported for the United States and major production regions for corn, soybeans, wheat, cotton, grain sorghum, rice, peanuts, oats, barley, milk, hogs, and cow-calf. The history of commodity cost and return estimates for the U.S. and regions is divided into three categories: current, recent, and historical estimates. Cost of Production Forecasts are also available for major U.S. field crops.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/commodity-costs-and-returns/documentation.aspx#glossary</describedBy><issued>2001-01-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States</spatial><temporal>2011-01-01/2012-01-01</temporal><identifier>USDA-ERS-26111</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>wmcbride@ers.usda.gov</emailAddress><fn>William McBride</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/commodity-costs-and-returns/documentation.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/commodity-costs-and-returns.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Commodity and Food Elasticities</title><description>The Commodity and Food Elasticities Database is a collection of elasticities from research on consumer demand published in working papers, dissertations, and peer-reviewed journals and as presented at professional conferences in the United States.</description><accessLevel>public</accessLevel><describedBy>http://www.ers.usda.gov/data-products/commodity-and-food-elasticities/glossary.aspx</describedBy><issued>2012-07-05</issued><modified>2014-06-17</modified><identifier>USDA-ERS-00056</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jhansen@ers.usda.gov</emailAddress><fn>James Hansen</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/commodity-and-food-elasticities/how-to-use-the-database.aspx</references><distribution><accessURL>https://data.ers.usda.gov/reports.aspx?ID=17825</accessURL><title>Query tool</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://www.ers.usda.gov/data-products/commodity-and-food-elasticities/download-the-data/</accessURL><title>Demand Elasticities from Literature</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Commuting Zones and Labor Market Areas</title><description>County boundaries do not always accurately define local economies. Commuting zones and Labor Market Areas combine counties into units intended to more closely reflect the geographic interrelationships between employers and labor supply.</description><accessLevel>public</accessLevel><describedBy>https://www.ers.usda.gov/data-products/commuting-zones-and-labor-market-areas/documentation/</describedBy><issued>2012-02-22</issued><landingPage>https://www.ers.usda.gov/data-products/commuting-zones-and-labor-market-areas/</landingPage><modified>2014-03-19</modified><spatial>United States</spatial><temporal>1980-01-01/2000-01-01</temporal><identifier>USDA-ERS-00057</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>tparker@ers.usda.gov</emailAddress><fn>Timothy Parker</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><accessURL>https://www.ers.usda.gov/data-products/commuting-zones-and-labor-market-areas/</accessURL><title>Data download page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Cost Estimates of Foodborne Illnesses</title><description>The Cost Estimates of Foodborne Illnesses data product provides detailed data about the costs of major foodborne illnesses in the United States, updating and extending previous ERS research. Cost estimates of foodborne illnesses have been used in the past to help inform food-safety policy discussions, and these updated cost estimates will provide a foundation for economic analysis of food safety policy.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><describedBy>http://www.ers.usda.gov/data-products/cost-estimates-of-foodborne-illnesses/glossary.aspx</describedBy><issued>2014-10-07</issued><landingPage>http://www.ers.usda.gov/data-products/cost-estimates-of-foodborne-illnesses.aspx</landingPage><modified>2014-11-12</modified><spatial>United States</spatial><temporal>2013-01-01/2013-12-31</temporal><identifier>USDA-ERS-29192</identifier><publisher><name>USDA Economic Research Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>shoffmann@ers.usda.gov</emailAddress><fn>Sandra Hoffmann</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/cost-estimates-of-foodborne-illnesses/documentation.aspx, http://www.ers.usda.gov/data-products/cost-estimates-of-foodborne-illnesses/how-to-read-a-worksheet.aspx</references><categories>food</categories><distribution><description>Excel files of Cost Estimates of Foodborne Illnesses for Campylobacter (all species), Clostridium perfringens, Cryptosporidium parvum, Cyclospora cayetanensis, Escherichia coli O157, Non-O157 Shiga toxin-producing Escherichia coli, Listeria monocytogenes, Norovirus, Salmonella (nontyphoidal), Shigella (all species), Toxoplasma gondii, Vibrio parahaemolyticus, Vibrio vulnificus, Vibrio (all other non-cholera species), Yersinia enterocolitica, and includes Consumer Price Indexes and Value of Statistical Life.</description><downloadURL>http://www.ers.usda.gov/data-products/cost-estimates-of-foodborne-illnesses.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Cost Estimates of Foodborne Illnesses worksheets</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Cotton and Wool Chart Gallery</title><description>The Cotton and Wool Chart Gallery includes updated charts that supplement the Cotton and Wool Outlook report. Excel files are available from the monthly Outlook reports.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><issued>2013-12-17</issued><modified>2014-03-19</modified><identifier>USDA-ERS-00059</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>lmeyer@ers.usda.gov</emailAddress><fn>Leslie Meyer</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/publications/cws-cotton-and-wool-outlook.aspx</references><distribution><accessURL>https://www.ers.usda.gov/data-products/cotton-and-wool-chart-gallery/</accessURL><description>Charts from the monthly Outlook report.</description><title>Chart gallery</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Cotton, Wool, and Textile Data</title><description>This data product contains data on U.S. cotton and wool supply, demand, and prices, as well as U.S. cotton and textile trade data, maintained by the Economic Research Service to support related commodity market analysis and research.</description><accessLevel>public</accessLevel><modified>2014-06-17</modified><identifier>USDA-ERS-00058</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>stephenm@ers.usda.gov</emailAddress><fn>Stephen MacDonald</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><accessURL>https://www.ers.usda.gov/data-products/cotton-wool-and-textile-data/cotton-and-wool-yearbook/</accessURL><title>Cotton and Wool Yearbook</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://www.ers.usda.gov/data-products/cotton-wool-and-textile-data/raw-fiber-equivalents-of-us-textile-trade-data/</accessURL><title>Raw-Fiber Equivalents of U.S. Textile Trade Data</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://www.ers.usda.gov/data-products/cotton-wool-and-textile-data/bilateral-fiber-and-textile-trade/</accessURL><title>Bilateral Fiber and Textile Trade</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>County Typology Codes</title><description>An area's economic and social characteristics have significant effects on its development and need for various types of public programs. To provide policy-relevant information about diverse county conditions to policymakers, public officials, and researchers, ERS has developed a set of county-level typology codes that captures differences in economic and social characteristics.&#13;
&#13;
The 2004 County Typology codes classify all U.S. counties according to six non-overlapping categories of economic dependence and seven overlapping categories of policy-relevant themes. The economic types include farming, mining, manufacturing, services, Federal/State government, and unspecialized counties. The policy types include housing stress, low education, low employment, persistent poverty, population loss, nonmetro recreation, and retirement destination. In addition, a code identifying counties with persistent child poverty is available.&#13;
&#13;
An update of the County Typology codes is planned for 2014.</description><accessLevel>public</accessLevel><describedBy>http://www.ers.usda.gov/data-products/county-typology-codes/documentation.aspx</describedBy><issued>2008-07-01</issued><modified>2014-03-19</modified><spatial>United States</spatial><temporal>1979/2004</temporal><identifier>USDA-ERS-00061</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>tparker@ers.usda.gov</emailAddress><fn>Timothy Parker</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/county-typology-codes/descriptions-and-maps.aspx</references><distribution><accessURL>https://www.ers.usda.gov/data-products/county-typology-codes/</accessURL><title>Download page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>County-level Data Sets</title><description>Socioeconomic indicators like the poverty rate, population change, unemployment rate, and education levels vary across the nation. ERS has compiled the latest data on these measures into a mapping and data display/download application that allows users to identify and compare States and counties on these indicators.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/county-level-data-sets/documentation.aspx</describedBy><issued>2012-06-28</issued><modified>2014-03-19</modified><spatial>United States</spatial><temporal>1970-01-01/2012-01-01</temporal><identifier>USDA-ERS-26471</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>tparker@ers.usda.gov</emailAddress><fn>Timothy Parker</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>https://www.ers.usda.gov/data-products/county-level-data-sets/documentation/</references><distribution><description>Query tool</description><downloadURL>http://www.ers.usda.gov/data-products/county-level-data-sets/poverty.aspx</downloadURL><mediaType>text/html</mediaType><title>Poverty</title><type>dcat:Distribution</type></distribution><distribution><description>Query tool</description><downloadURL>http://www.ers.usda.gov/data-products/county-level-data-sets/population.aspx</downloadURL><mediaType>text/html</mediaType><title>Population</title><type>dcat:Distribution</type></distribution><distribution><description>Query tool</description><downloadURL>http://www.ers.usda.gov/data-products/county-level-data-sets/unemployment.aspx</downloadURL><mediaType>text/html</mediaType><title>Unemployment</title><type>dcat:Distribution</type></distribution><distribution><description>Query tool</description><downloadURL>http://www.ers.usda.gov/data-products/county-level-data-sets/education.aspx</downloadURL><mediaType>text/html</mediaType><title>Education</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ers.usda.gov/data-products/county-level-data-sets/county-level-data-sets-download-data/</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>County-level Oil and Gas Production in the U.S.</title><description>County-level data from oil and/or natural gas producing States—for onshore production in the lower 48 States only—are compiled on a State-by-State basis. Most States have production statistics available by county, field, or well, and these data were compiled at the county level to create a database of county-level production, annually for 2000 through 2011. Raw data for natural gas is for gross withdrawals, and oil data almost always include natural gas liquids. Note that State-provided natural gas withdrawals were not available for Illinois or Indiana; those estimates were produced using geocoded wells and State total production reported by the U.S. Department of Energy’s Energy Information Agency.&#13;
&#13;
In the data file, counties with increases or decreases in excess of $20 million in oil and/or natural gas production during 2000-11 are also identified. See the Documentation for more details.&#13;
&#13;
Currently, an ERS update to this data product is not planned.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/county-level-oil-and-gas-production-in-the-us/documentation-and-maps.aspx</describedBy><license>http://opendatacommons.org/licenses/pddl/</license><modified>2014-12-23</modified><spatial>United States, county</spatial><temporal>2000-01-01/2011-01-01</temporal><identifier>USDA-ERS-00060</identifier><publisher><name>United States Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jeweber@ers.usda.gov</emailAddress><fn>Jeremy G. Weber</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><categories>oil and natural gas production, energy</categories><distribution><accessURL>https://www.ers.usda.gov/data-products/county-typology-codes/</accessURL><title>Data download page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Creative Class County Codes</title><description>The creative class thesis—that towns need to attract engineers, architects, artists, and people in other creative occupations to compete in today's economy—may be particularly relevant to rural communities, which tend to lose much of their talent when young adults leave. The ERS creative class codes indicate a county's share of population employed in occupations that require "thinking creatively." Variables used to construct the ERS creative class measure include number and percent employed in creative class occupations and a metro/nonmetro indicator for all counties, 1990, 2000, and 2007-11. A break-out of employment in the arts is included.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/creative-class-county-codes/documentation.aspx</describedBy><issued>2007-10-17</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-07-25</modified><spatial>United States</spatial><temporal>1990/2000</temporal><identifier>USDA-ERS-02435</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>twojan@ers.usda.gov</emailAddress><fn>Tim Wojan</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/creative-class-county-codes/documentation.aspx</references><distribution><downloadURL>https://www.ers.usda.gov/data-products/creative-class-county-codes.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Creative Class County Codes</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ers.usda.gov/data-products/creative-class-county-codes.aspx</downloadURL><mediaType>text/csv</mediaType><title>Creative Class County Codes</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Dairy Data</title><description>These data are from several USDA agencies. They were previously included in the Meat Statistics page in the Livestock, Dairy, and Poultry Outlook tables and may contain revisions not included in previous releases of the LDP tables.</description><accessLevel>public</accessLevel><issued>2013-12-24</issued><modified>2014-06-17</modified><identifier>USDA-ERS-00062</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>rhoskin@ers.usda.gov</emailAddress><fn>Roger Hoskin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/dairy-data/documentation.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/dairy-data.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>ERS Data APIs</title><description>The ERS content and data APIs (including our pre-made widgets for embedding charts) are currently out of service while we redesign our site. Check back here for updates--we'll keep you informed as to the progress. Contact us at webadmin@ers.usda.gov with questions.&#13;
&#13;
The Data APIs provide programmatic access to select data sets.</description><accessLevel>public</accessLevel><issued>2013-11-30</issued><modified>2014-11-12</modified><rights>Registration key needed from api.data.gov</rights><identifier>USDA-ERS-00102</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pbersani@ers.usda.gov</emailAddress><fn>Peter Bersani</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/developer/</references></dataset><dataset><title>Eating and Health Module (ATUS)</title><description>The Eating &amp; Health (EH) Module of the American Time Use Survey (ATUS) collects data to analyze relationships among time use patterns and eating patterns, nutrition, and obesity; food and nutrition assistance programs; and grocery shopping and meal preparation.</description><accessLevel>public</accessLevel><issued>2010-04-02</issued><landingPage>https://www.ers.usda.gov/data-products/eating-and-health-module-atus/</landingPage><modified>2014-06-17</modified><temporal>2006/2008</temporal><identifier>USDA-ERS-00063</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>brandon.restrepo@ers.usda.gov</emailAddress><fn>Brandon Restrepo</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>https://www.ers.usda.gov/data-products/eating-and-health-module-atus/readings/</references><distribution><downloadURL>https://www.ers.usda.gov/data-products/eating-and-health-module-atus/</downloadURL><mediaType>text/html</mediaType><title>Data download page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Farm Household Income and Characteristics</title><description>This data product presents the latest household income forecast and estimates for U.S. family farms.</description><accessLevel>public</accessLevel><issued>2013-11-26</issued><modified>2014-06-17</modified><temporal>1960/2012</temporal><identifier>USDA-ERS-00064</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jeweber@ers.usda.gov</emailAddress><fn>Jeremy Weber</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/farm-household-income-and-characteristics/background.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/farm-household-income-and-characteristics.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Farm Income and Wealth Statistics</title><description>Estimates of farm sector income with component accounts for the United States and for States.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/farm-income-and-wealth-statistics/documentation-for-the-farm-sector-balance-sheet.aspx</describedBy><landingPage>http://www.ers.usda.gov/data-products/farm-income-and-wealth-statistics.aspx</landingPage><license>https://creativecommons.org/licenses/by/4.0</license><modified>2017-04-24</modified><spatial>U.S. national and U.S. state</spatial><temporal>1910-01-01/2016-12-31</temporal><identifier>USDA-ERS-02437</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>farmincometeam@ers.usda.gov</emailAddress><fn>Farm Income Team</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/farm-income-and-wealth-statistics/general-documentation.aspx</references><distribution><accessURL>https://www.ers.usda.gov/data-products/farm-income-and-wealth-statistics/data-files-us-and-state-level-farm-income-and-wealth-statistics/</accessURL><description>Several interactive reports are available.</description><title>Query tool</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Federal Funds</title><description>The data are from the Census Bureau's Consolidated Federal Funds Reports on Federal expenditures and obligations for grants, salaries and wages, procurements, direct payments, direct loans, guaranteed loans, and insurance obtained from Federal Government agencies. ERS screens the data for each Federal program for accuracy at the county level and then presents the data by function and type of program for each county and State. See the complete data documentation for details.&#13;
&#13;
Each file contains Federal outlays by program for each county in the State. County population is also included so that per capita spending can be calculated. Summary of the data for the United States and a ZIP file for all States are also available.</description><accessLevel>public</accessLevel><describedBy>http://www.ers.usda.gov/data-products/federal-funds/documentation.aspx</describedBy><issued>2011-12-11</issued><modified>2014-03-19</modified><spatial>United States</spatial><temporal>2004/2010</temporal><identifier>USDA-ERS-00065</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>kkassel@ers.usda.gov</emailAddress><fn>Kathleen Kassel</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><downloadURL>https://www.ers.usda.gov/webdocs/DataFiles/Federal_Funds__25352/26992_FederalFunds_2010Data_AllStateFiles.zip?v=40879</downloadURL><mediaType>application/zip</mediaType><title>ZIP file of Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Feed Grains Chart Gallery</title><description>Charts from the USDA ERS market analysis of domestic and international feed grain markets. Related data files are available.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><issued>2013-12-16</issued><landingPage>https://www.ers.usda.gov/data-products/feed-grains-chart-gallery/</landingPage><modified>2016-08-18</modified><temporal>2013/2014</temporal><identifier>USDA-ERS-00066</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>tcapehart@ers.usda.gov</emailAddress><fn>Tom Capehart</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>https://www.ers.usda.gov/data-products/feed-grains-database/</references><distribution><accessURL>https://www.ers.usda.gov/data-products/feed-grains-chart-gallery/</accessURL><title>Chart gallery</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Feed Grains Database</title><description>The Feed Grains Database contains statistics on four feed grains (corn, grain sorghum, barley, and oats), foreign coarse grains (feed grains plus rye, millet, and mixed grains), hay, and related items.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/feed-grains-database/documentation.aspx</describedBy><issued>2013-12-16</issued><landingPage>https://www.ers.usda.gov/data-products/feed-grains-database/feed-grains-yearbook-tables/#Zipped%20CSV%20files</landingPage><modified>2014-03-19</modified><spatial>United States</spatial><temporal>1920-01-01/2013-11-01</temporal><identifier>USDA-ERS-01352</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>tcapehart@ers.usda.gov</emailAddress><fn>Thomas Capehart</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/feed-grains-database/documentation.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/feed-grains-database/feed-grains-custom-query.aspx</downloadURL><mediaType>text/html</mediaType><title>Query tool</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ers.usda.gov/webdocs/DataFiles/Feed_Grains_Yearbook_Tables__18027/FeedGrains.zip?v=42780</downloadURL><mediaType>text/csv</mediaType><title>Zip file of CSV format data</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ers.usda.gov/webdocs/DataFiles/Feed_Grains_Yearbook_Tables__18027/Feed%20Grains%20Yearbook%20Tables-Recent.xls?v=42780</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Feed Grains Data-Recent</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ers.usda.gov/webdocs/DataFiles/Feed_Grains_Yearbook_Tables__18027/Feed%20Grains%20Yearbook%20Tables-All%20Years.xls?v=42780</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Feed Grains Data- All Years</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Fertilizer Imports/Exports</title><description>This system provides annual data on U.S. imports and exports of selected fertilizer types. These data are based on U.S. Merchandise Imports and Exports, released monthly by the U.S. Department of Commerce, Foreign Trade Division. The data reported here cover imports from 1995 to 2012 and exports from 1990 to 2012 for 26 major fertilizer products and materials, and for 82 major trading countries.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/fertilizer-importsexports/documentation.aspx</describedBy><issued>2013-05-20</issued><modified>2014-03-19</modified><spatial>United States</spatial><temporal>1990-01-01/2012-01-01</temporal><identifier>USDA-ERS-04059</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>WebAdmin@ers.usda.gov</emailAddress><fn>Website Administrator</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/fertilizer-importsexports/documentation.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/fertilizer-importsexports/custom-queries.aspx</downloadURL><mediaType>text/html</mediaType><title>Query tool</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ers.usda.gov/data-products/fertilizer-importsexports/standard-tables/</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Data file</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Fertilizer Use and Price</title><description>This product brings together 1960-2012 data on fertilizer consumption in the United States by plant nutrient and major selected product, as well as consumption of mixed fertilizers, secondary nutrients, and micronutrients. Share of crop area receiving fertilizer and fertilizer use per receiving acre, by nutrient, are presented for the major producing States for corn, cotton, soybeans, and wheat. Additional data include fertilizer farm prices and indices of wholesale fertilizer price. Fertilizer price data are through 2013.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/fertilizer-use-and-price.aspx</describedBy><issued>2013-07-12</issued><modified>2014-03-19</modified><spatial>United States</spatial><temporal>1960-01-01/2013-01-01</temporal><identifier>USDA-ERS-04082</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>rnehring@ers.usda.gov</emailAddress><fn>Richard Nehring</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/fertilizer-use-and-price.aspx</references><distribution><accessURL>https://www.ers.usda.gov/data-products/fertilizer-use-and-price.aspx</accessURL><title>Data file</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Food Access Research Atlas</title><description>The Food Access Research Atlas presents a spatial overview of food access indicators for low-income and other census tracts using different measures of supermarket accessibility, provides food access data for populations within census tracts, and offers census-tract-level data on food access that can be downloaded for community planning or research purposes.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><dataQuality>true</dataQuality><describedBy>http://www.ers.usda.gov/data-products/food-access-research-atlas/documentation.aspx</describedBy><issued>2013-12-05</issued><modified>2015-01-29</modified><spatial>United States</spatial><temporal>2010/2010</temporal><identifier>USDA-ERS-26131</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>sverploeg@ers.usda.gov</emailAddress><fn>Michele Ver Ploeg</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/food-access-research-atlas/about-the-atlas.aspx</references><categories>geospatial</categories><distribution><downloadURL>http://www.ers.usda.gov/data-products/food-access-research-atlas/go-to-the-atlas.aspx</downloadURL><mediaType>text/html</mediaType><title>Interactive map</title><type>dcat:Distribution</type></distribution><distribution><accessURL>http://gis.ers.usda.gov/arcgis/rest/services/</accessURL><description>See http://www.ers.usda.gov/developer/geospatial-apis.aspx for more information.</description><format>API</format><title>GIS API Services</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ers.usda.gov/data-products/food-access-research-atlas/download-the-data/</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Data file</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Food Availability (Per Capita) Data System</title><description>The ERS Food Availability (Per Capita) Data System (FADS) includes three distinct but related data series on food and nutrient availability for consumption. The data serve as popular proxies for actual consumption at the national level. Food availability data are now updated through 2011, the most recent year available; these data are the foundation for the other two series. Loss-adjusted food availability data are also available through 2011 for most products but are preliminary estimates. Nutrient availability data are provided through 2006, as this data series has not yet been updated beyond 2006.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/food-availability-(per-capita)-data-system/glossary.aspx</describedBy><issued>2013-12-18</issued><modified>2014-03-19</modified><spatial>United States</spatial><temporal>1909-01-01/2011-01-01</temporal><identifier>USDA-ERS-00131</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jbuzby@ers.usda.gov</emailAddress><fn>Jean Buzby</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/food-availability-(per-capita)-data-system/readings.aspx</references><distribution><downloadURL>https://www.ers.usda.gov/data-products/food-availability-per-capita-data-system/food-availability-per-capita-data-system/#Food%20Availability</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Food Consumption and Nutrient Intakes</title><description>Food consumption in terms of the Dietary Guidelines for Americans’ food groups is reported for all sources and the total U.S. population, as well as by food source, children age 2-19, and adults age 20 and older.</description><accessLevel>public</accessLevel><issued>2011-06-15</issued><modified>2014-03-19</modified><identifier>USDA-ERS-00068</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>blin@ers.usda.gov</emailAddress><fn>Biing-Hwan Lin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/food-consumption-and-nutrient-intakes/documentation.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/food-consumption-and-nutrient-intakes.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Food Dollar Series</title><description>The food dollar series measures annual expenditures by U.S. consumers on domestically produced food. This data series is composed of three primary series - the marketing bill series, the industry group series, and the primary factor series - that shed light on different aspects of the food supply chain. The three series show three different ways to split up the same food dollar.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/food-dollar-series/glossary.aspx</describedBy><issued>2013-12-05</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-07-24</modified><spatial>United States</spatial><temporal>1993/2011</temporal><identifier>USDA-ERS-25981</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pcanning@ers.usda.gov</emailAddress><fn>Patrick Canning</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/food-dollar-series/documentation.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/food-dollar-series/food-dollar-application.aspx</downloadURL><mediaType>text/html</mediaType><title>Query tool</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://www.ers.usda.gov/developer/</accessURL><format>API</format><title>Food Dollar API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.ers.usda.gov/data-products/food-dollar-series/download-the-data.aspx</downloadURL><mediaType>text/html</mediaType><title>Food Dollar Series Data Download</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Food Environment Atlas</title><description>Food environment factors--such as store/restaurant proximity, food prices, food and nutrition assistance programs, and community characteristics--interact to influence food choices and diet quality. Research is beginning to document the complexity of these interactions, but more is needed to identify causal relationships and effective policy interventions. The objectives of the Atlas are&#13;
to assemble statistics on food environment indicators to stimulate research on the determinants of food choices and diet quality, and to provide a spatial overview of a community's ability to access healthy food and its success in doing so.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><dataQuality>true</dataQuality><describedBy>http://www.ers.usda.gov/data-products/food-environment-atlas/data-access-and-documentation-downloads.aspx</describedBy><issued>2013-12-05</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2015-01-29</modified><spatial>United States</spatial><temporal>2012/2012</temporal><identifier>USDA-ERS-02033</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>breneman@ers.usda.gov</emailAddress><fn>Vince Breneman</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/food-environment-atlas/about-the-atlas.aspx</references><categories>geospatial</categories><distribution><downloadURL>http://www.ers.usda.gov/data-products/food-environment-atlas/go-to-the-atlas.aspx</downloadURL><mediaType>text/html</mediaType><title>Interactive map</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://gis.ers.usda.gov/arcgis/rest/services/</accessURL><description>See http://www.ers.usda.gov/developer/geospatial-apis.aspx for more information</description><format>API</format><title>GIS API Services</title><type>dcat:Distribution</type></distribution><distribution><accessURL>http://www.ers.usda.gov/data-products/food-environment-atlas/data-access-and-documentation-downloads/</accessURL><title>Web page with link to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Food Expenditures</title><description>The ERS Food Expenditure Series annually measures total U.S. food expenditures, including purchases by consumers, governments, businesses, and nonprofit organizations. The ERS Food Expenditure Series contributes to the analysis of U.S. food production and consumption by constructing a comprehensive measure of the total value of all food expenditures by final purchasers. This series annually measures total U.S. food expenditures, including purchases by consumers, governments, businesses, and nonprofit organizations. Because the term expenditure is often associated with household decisionmaking, it is important to recognize that ERS's series also includes nonhousehold purchases. For example, the series includes the dollar value of domestic food purchases by military personnel and their dependents at military commissary stores and exchanges, the value of commodities and food dollars donated by the Federal government to schools, and the value of food purchased by airlines for serving during flights.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/food-expenditures/documentation.aspx</describedBy><issued>2013-12-17</issued><modified>2014-06-17</modified><temporal>1929/2012</temporal><identifier>USDA-ERS-00069</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>aclauson@ers.usda.gov</emailAddress><fn>Annette Clauson</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><downloadURL>http://www.ers.usda.gov/data-products/food-expenditures.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Food Price Outlook</title><description>The Consumer Price Index (CPI) for food is a component of the all-items CPI. The CPI measures the average change over time in the prices paid by urban consumers for a representative market basket of consumer goods and services. While the all-items CPI measures the price changes for all consumer goods and services, including food, the CPI for food measures the changes in the retail prices of food items only.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/food-price-outlook/documentation.aspx</describedBy><issued>2013-12-23</issued><modified>2014-03-19</modified><spatial>United States</spatial><temporal>2005-01-01/2014-01-01</temporal><identifier>USDA-ERS-26001</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>rvolpe@ers.usda.gov</emailAddress><fn>Richard Volpe</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/food-price-outlook/summary-findings.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/food-price-outlook.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Food Security in the United States</title><description>This data section provides information about publicly available national surveys that include questions from the U.S. Food Security Survey Module. Information on each survey and directions for accessing data files are available in the documentation.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/food-security-in-the-united-states/documentation.aspx</describedBy><issued>2013-09-04</issued><modified>2014-03-19</modified><spatial>United States</spatial><temporal>2001-01-01/2013-01-01</temporal><identifier>USDA-ERS-26011</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>acjensen@ers.usda.gov</emailAddress><fn>Alisha Coleman-Jensen</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/food-security-in-the-united-states/documentation.aspx</references><distribution><description>Links to documents for data access</description><downloadURL>http://www.ers.usda.gov/data-products/food-security-in-the-united-states.aspx</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Food and Nutrition Assistance Research Database</title><description>ERS supports a broad spectrum of food and nutrition assistance research and has compiled an electronic database of over 900 peer-reviewed reports and articles based on ERS-supported research. The database is searchable by title, lead author, topic, year of publication, and data set analyzed.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><issued>2013-10-28</issued><modified>2014-03-19</modified><identifier>USDA-ERS-00067</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>victoro@ers.usda.gov</emailAddress><fn>Victor Oliveira</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/food-and-nutrition-assistance-research-database.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/food-and-nutrition-assistance-research-database/research-reports-articles-database.aspx</downloadURL><mediaType>text/html</mediaType><title>Research Reports &amp; Articles Database</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.ers.usda.gov/data-products/food-and-nutrition-assistance-research-database/extramural-project-database.aspx</downloadURL><mediaType>text/html</mediaType><title>Extramural Project Database</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.ers.usda.gov/data-products/food-and-nutrition-assistance-research-database/ridge-project-summaries.aspx</downloadURL><mediaType>text/html</mediaType><title>RIDGE Project Summaries</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>FoodAPS National Household Food Acquisition and Purchase Survey</title><description>USDA's National Household Food Acquisition and Purchase Survey (FoodAPS) will provide unique and detailed data about household food choices that are not available from any other survey. FoodAPS is a nationally representative survey of household food purchases and acquisitions.</description><accessLevel>public</accessLevel><modified>2014-06-17</modified><identifier>USDA-ERS-00050</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jkirlin@ers.usda.gov</emailAddress><fn>John A. Kirlin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/foodaps-national-household-food-acquisition-and-purchase-survey/documentation.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/foodaps-national-household-food-acquisition-and-purchase-survey.aspx</downloadURL><mediaType>text/html</mediaType><title>Web page with links to documents</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Foreign Agricultural Trade of the United States (FATUS)</title><description>The Foreign Agricultural Trade of the United States (FATUS) data page provides U.S. agricultural exports and imports, volume and value, by country and by commodity.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://ers.usda.gov/data-products/foreign-agricultural-trade-of-the-united-states-(fatus)/questions-answers.aspx</describedBy><issued>2013-12-05</issued><modified>2014-03-19</modified><spatial>World, United States</spatial><temporal>1989-01-01/2013-10-01</temporal><identifier>USDA-ERS-26051</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>stephenm@ers.usda.gov</emailAddress><fn>Stephen MacDonald</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>https://www.ers.usda.gov/data-products/foreign-agricultural-trade-of-the-united-states-fatus/questions-answers/</references><distribution><downloadURL>https://www.ers.usda.gov/data-products/foreign-agricultural-trade-of-the-united-states-fatus/us-agricultural-trade-data-update/#Latest%20U.S.%20Agricultural%20Trade</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Frontier and Remote Area Codes</title><description>Frontier and Remote Area (FAR) codes provide a statistically-based, nationally-consistent, and adjustable definition of territory in the U.S. characterized by low population density and high geographic remoteness.&#13;
&#13;
To assist in providing policy-relevant information about conditions in sparsely settled, remote areas of the U.S. to public officials, researchers, and the general public, ERS has developed ZIP-code-level frontier and remote (FAR) area codes. The aim is not to provide a single definition. Instead, it is to meet the demand for a delineation that is both geographically detailed and adjustable within reasonable ranges, in order to be usefully applied in diverse research and policy contexts. This initial set, based on urban-rural data from the 2000 decennial census, provides four separate FAR definition levels, ranging from one that is relatively inclusive (18 million FAR residents) to one that is more restrictive (4.8 million FAR residents).</description><accessLevel>public</accessLevel><describedBy>https://www.ers.usda.gov/data-products/frontier-and-remote-area-codes/documentation/</describedBy><issued>2012-06-01</issued><modified>2015-04-15</modified><spatial>United States</spatial><identifier>USDA-ERS-00070</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jbc@ers.usda.gov</emailAddress><fn>John Cromartie</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><accessURL>https://www.ers.usda.gov/data-products/frontier-and-remote-area-codes/</accessURL><title>State and ZIP code level tables</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Fruit and Tree Nut Data</title><description>Fruit and Tree Nut Data provide users with comprehensive statistics on fresh and processed fruits, melons, and tree nuts in the United States, as well as some global data for these sectors. It harmonizes and integrates data from the ERS market outlook program with data collected by different Federal and international statistical agencies to facilitate analyses of economic performance over time and across domestic and foreign markets.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://ers.usda.gov/data-products/fruit-and-tree-nut-data/documentation.aspx</describedBy><issued>2013-11-20</issued><modified>2014-03-19</modified><spatial>United States</spatial><temporal>1980-01-01/2013-11-01</temporal><identifier>USDA-ERS-26141</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>acperez@ers.usda.gov</emailAddress><fn>Agnes Perez</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://ers.usda.gov/data-products/fruit-and-tree-nut-data/documentation.aspx</references><distribution><downloadURL>http://ers.usda.gov/data-products/fruit-and-tree-nut-data/data-by-category.aspx</downloadURL><mediaType>text/html</mediaType><title>Query tool</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://ers.usda.gov/data-products/fruit-and-tree-nut-data/yearbook-tables.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Fruit and Vegetable Prices</title><description>How much do fruits and vegetables cost? ERS estimated average prices for 153 commonly consumed fresh and processed fruits and vegetables.</description><accessLevel>public</accessLevel><describedBy>http://www.ers.usda.gov/data-products/fruit-and-vegetable-prices/documentation.aspx</describedBy><issued>2011-02-07</issued><modified>2014-03-19</modified><identifier>USDA-ERS-00071</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>hstewart@ers.usda.gov</emailAddress><fn>Hayden Stewart</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><downloadURL>http://www.ers.usda.gov/data-products/fruit-and-vegetable-prices.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>International Agricultural Productivity</title><description>This data product provides agricultural output, input and total factor productivity (TFP) growth rates, but not levels, across the countries and regions of the world in a consistent, comparable way, for 1961-2010.</description><accessLevel>public</accessLevel><describedBy>http://www.ers.usda.gov/data-products/international-agricultural-productivity/documentation-and-methods.aspx</describedBy><issued>2013-11-05</issued><modified>2014-03-19</modified><temporal>1961/2010</temporal><identifier>USDA-ERS-00072</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>kfuglie@ers.usda.gov</emailAddress><fn>Keith Fuglie</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><description>Countries - Agricultural total factor productivity growth indices for countries, 1961-2013&#13;
Agricultural total factor productivity growth indices for geographic regions, 1961-2013&#13;
Agricultural total factor productivity growth indices for regions (countries grouped by income class), 1961-2013</description><downloadURL>http://www.ers.usda.gov/data-products/international-agricultural-productivity/</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with link to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>International Baseline Data</title><description>International baseline projections indicate supply, demand, and trade for major agricultural commodities for selected countries. These projections provide foreign country detail supporting the annual USDA agricultural baseline, which are longrun, 10-year projections.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://ers.usda.gov/data-products/international-baseline-data/documentation.aspx</describedBy><issued>2013-05-01</issued><modified>2014-03-19</modified><spatial>United States</spatial><temporal>2002-01-01/2022-01-01</temporal><identifier>USDA-ERS-26061</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>rtrostle@ers.usda.gov</emailAddress><fn>Ronald Trostle</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><downloadURL>http://ers.usda.gov/data-products/international-baseline-data.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>International Food Consumption Patterns</title><description>Total and marginal budget shares and income and price elasticities are estimated, using 2005 ICP data, for nine broad consumption groups and eight food subgroups across 144 countries.</description><accessLevel>public</accessLevel><issued>2013-09-04</issued><modified>2014-03-19</modified><temporal>2004/2005</temporal><identifier>USDA-ERS-00073</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>amuhammad@ers.usda.gov</emailAddress><fn>Andrew Muhammad</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/international-food-consumption-patterns/documentation.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/international-food-consumption-patterns.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>International Food Security</title><description>This dataset is the basis for the International Food Security Assessment, 2016-2026 released in June 2016. This annual ERS report projects food availability and access for 76 low- and middle-income countries over a 10-year period. The dataset includes annual country-level data on area, yield, production, nonfood use, trade, and consumption for grains and root and tuber crops (combined as R&amp;T in the documentation tables), food aid, total value of imports and exports, gross domestic product, and population compiled from a variety of sources.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/international-food-security/documentation.aspx</describedBy><issued>2014-02-07</issued><modified>2014-07-24</modified><spatial>Global</spatial><temporal>1980/2012</temporal><identifier>USDA-ERS-00074</identifier><publisher><name>United States Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>bmeade@ers.usda.gov</emailAddress><fn>Birgit Meade</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/international-food-security/documentation.aspx</references><categories>international, food security</categories><distribution><description>Data for each of the 76 countries for 1990-2015 are presented in eight regional Excel workbooks.</description><downloadURL>http://www.ers.usda.gov/data-products/international-food-security.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Excel file listing</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>International Macroeconomic Data Set</title><description>The International Macroeconomic Data Set provides data from 1969 through 2030 for real (adjusted for inflation) gross domestic product (GDP), population, real exchange rates, and other variables for the 190 countries and 34 regions that are most important for U.S. agricultural trade. The data presented here are a key component of the USDA Baseline projections process, and can be used as a benchmark for analyzing the impacts of U.S. and global macroeconomic shocks.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><dataQuality>true</dataQuality><describedBy>http://www.ers.usda.gov/data-products/international-macroeconomic-data-set/documentation.aspx</describedBy><issued>2013-12-19</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>World, United States</spatial><temporal>1969-01-01/2030-01-01</temporal><identifier>USDA-ERS-29151</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>mshane@ers.usda.gov</emailAddress><fn>Mathew Shane</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://ers.usda.gov/data-products/international-macroeconomic-data-set/country-coverage.aspx</references><distribution><downloadURL>http://ers.usda.gov/data-products/international-macroeconomic-data-set.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Livestock &amp; Meat International Trade Data</title><description>The Livestock and Meat Trade Data Set contains monthly and annual data for imports and exports of live cattle, hogs, sheep, and goats, as well as beef and veal, pork, lamb and mutton, chicken meat, turkey meat, and eggs. The tables report physical quantities, not dollar values or unit prices. Data on beef and veal, pork, and lamb and mutton are on a carcass-weight-equivalent basis. Breakdowns by country are included.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/livestock-meat-international-trade-data/documentation.aspx</describedBy><issued>2013-12-05</issued><modified>2014-03-19</modified><spatial>United States, World</spatial><temporal>1989-01-01/2013-10-01</temporal><identifier>USDA-ERS-02577</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>lmkuberka@ers.usda.gov</emailAddress><fn>Lindsay Kuberka</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/livestock-meat-international-trade-data/readings.aspx</references><distribution><downloadURL>https://www.ers.usda.gov/data-products/livestock-and-meat-international-trade-data/livestock-and-meat-international-trade-data/#Zipped%20CSV%20files</downloadURL><mediaType>application/zip</mediaType><title>ZIP file of CSV formatted data</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ers.usda.gov/data-products/livestock-and-meat-international-trade-data/livestock-and-meat-international-trade-data/#Monthly%20U.S.%20Livestock%20and%20Meat%20Trade%20by%20Country</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Livestock And Meat Domestic Data</title><description>The Livestock And Meat Domestic Data contains current and historical data on pork, beef, veal, and poultry, including production, supply, utilization, and farm prices.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><issued>2013-12-24</issued><modified>2014-06-17</modified><identifier>USDA-ERS-00075</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>kmathews@ers.usda.gov</emailAddress><fn>Kenneth Mathews</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><downloadURL>http://www.ers.usda.gov/data-products/livestock-meat-domestic-data.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Major Land Uses</title><description>ERS has been a source of major land use estimates in the United States for over 50 years, and the related U.S. cropland used for crops series dates back to 1910. The Major Land Uses (MLU) series is the longest running, most comprehensive accounting of all major uses of public and private land in the United States. The series was started in 1945, and has since been published about every 5 years, coinciding with the Census of Agriculture. See the latest report in the series, Major Uses of Land in the United States, 2007.&#13;
&#13;
Data from all 14 Major Land Uses reports have been combined into a set of files showing major land use estimates by region and State from 1945 to 2007. Alaska and Hawaii were added in 1959, when they achieved Statehood. Since Alaska contains such vast acreage, 50-State totals in all categories prior to 1959 may appear to change precipitously.</description><accessLevel>public</accessLevel><describedBy>http://www.ers.usda.gov/data-products/major-land-uses/glossary.aspx</describedBy><issued>2011-12-19</issued><modified>2014-06-17</modified><spatial>United States</spatial><temporal>1910/2007</temporal><identifier>USDA-ERS-00076</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>aborchers@ers.usda.gov</emailAddress><fn>Allison Borchers</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/major-land-uses/reference-citations.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/major-land-uses.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Meat Price Spreads</title><description>This data set provides monthly average price values, and the differences among those values, at the farm, wholesale, and retail stages of the production and marketing chain for selected cuts of beef, pork, and broilers. In addition, retail prices are provided for beef and pork cuts, turkey, whole chickens, eggs, and dairy products. Price spreads are reported for last 6 years, 12 quarters, and 24 months. The retail price file provides monthly estimates for the last 6 months. The historical file provides data since 1970.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/meat-price-spreads/documentation.aspx</describedBy><issued>2013-12-17</issued><modified>2014-03-19</modified><spatial>United States</spatial><identifier>USDA-ERS-00077</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>whahn@ers.usda.gov</emailAddress><fn>William Hahn</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><downloadURL>http://www.ers.usda.gov/data-products/meat-price-spreads.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Milk Cost of Production Estimates</title><description>Monthly national milk cost of production estimates for 2005-present, and annual milk cost of production estimates by State and by size of operation for 2005 to 2012.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/milk-cost-of-production-estimates/methods.aspx</describedBy><issued>2013-12-23</issued><modified>2014-06-17</modified><identifier>USDA-ERS-00078</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>wmcbride@ers.usda.gov</emailAddress><fn>William McBride</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/milk-cost-of-production-estimates/background.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/milk-cost-of-production-estimates.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Natural Amenities Scale</title><description>The natural amenities scale is a measure of the physical characteristics of a county area that enhance the location as a place to live. The scale was constructed by combining six measures of climate, topography, and water area that reflect environmental qualities most people prefer. These measures are warm winter, winter sun, temperate summer, low summer humidity, topographic variation, and water area. The data are available for counties in the lower 48 States. The file contains the original measures and standardized scores for each county as well as the amenities scale.</description><accessLevel>public</accessLevel><describedBy>http://www.ers.usda.gov/data-products/natural-amenities-scale/documentation.aspx</describedBy><issued>2012-07-05</issued><landingPage>http://www.ers.usda.gov/data-products/natural-amenities-scale.aspx</landingPage><modified>2014-03-19</modified><spatial>United States</spatial><identifier>USDA-ERS-29161</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>dmcg@ers.usda.gov</emailAddress><fn>David McGranahan</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><downloadURL>https://www.ers.usda.gov/data-products/natural-amenities-scale.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Data file</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.ers.usda.gov/media/179053/amenities_500x404.jpg</downloadURL><mediaType>image/jpg</mediaType><title>Map of Natural Amenities Scale</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Normalized Prices</title><description>ERS annually calculates "normalized prices," which smooth out the effects of shortrun seasonal or cyclical variation, for key agricultural inputs and outputs. They are used to evaluate the benefits of projects affecting agriculture.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><issued>2013-11-12</issued><modified>2014-05-15</modified><identifier>USDA-ERS-00079</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>SCHAIBLE@ers.usda.gov</emailAddress><fn>Glenn Schaible</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/normalized-prices/documentation.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/normalized-prices.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Oil Crops Chart Gallery</title><description>These charts illustrate current market trends for oilseeds and oilseed products. Excel files are available from the monthly Outlook reports.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><issued>2013-12-12</issued><modified>2014-03-19</modified><identifier>USDA-ERS-00080</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>mash@ers.usda.gov</emailAddress><fn>Mark Ash</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/publications/ocs-oil-crops-outlook.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/oil-crops-chart-gallery.aspx</downloadURL><mediaType>text/html</mediaType><title>Chart gallery</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.ers.usda.gov/publications/ocs-oil-crops-outlook.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Oil Crops Yearbook</title><description>Oilseed, oilmeal, and fats and oils supply and use statistics. Includes oilseed acreage, yield, and production estimates and farm and wholesale price series.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/oil-crops-yearbook/documentation.aspx</describedBy><issued>2013-03-29</issued><modified>2014-03-19</modified><spatial>United States</spatial><identifier>USDA-ERS-00081</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>mash@ers.usda.gov</emailAddress><fn>Mark Ash</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><downloadURL>http://www.ers.usda.gov/data-products/oil-crops-yearbook.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Organic Handlers: Procurement and Contracting</title><description>Get select results from the 2004 and 2007 Nationwide Surveys of Organic Manufacturers, Processors, and Distributors. Data are available on 9 commodity groups, such as fruit and nuts, and 45 commodities, such as berries and citrus. The vast majority of organic commodities pass through the hands of at least one middleman, also called a handler, on the way from the farmer to the consumer. Certified organic handlers are certified to handle organic products in accordance with National Organic Standards. Organic handlers perform numerous functions, including packing and shipping, manufacturing and processing, and brokering, wholesaling, or distributing.</description><accessLevel>public</accessLevel><describedBy>http://www.ers.usda.gov/data-products/organic-handlers-procurement-and-contracting/documentation.aspx</describedBy><issued>2013-05-13</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States</spatial><temporal>2007/2007</temporal><identifier>USDA-ERS-04717</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>cgreene@ers.usda.gov</emailAddress><fn>Catherine Greene</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><accessURL>http://www.ers.usda.gov/data-products/organic-handlers-procurement-and-contracting.aspx</accessURL><description>Procurement and Contracting by Organic Handlers, 2007 Survey&#13;
Procurement and Contracting by Organic Handlers, 2004 Survey&#13;
&#13;
updates are suspended</description><title>Webpage with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Organic Prices</title><description>This data set provides farmgate and wholesale prices for select organic and conventional fruits and vegetables, wholesale prices for organic and conventional poultry (broilers) and eggs, as well as f.o.b. and spot prices for organic grain and feedstuffs. Prices are based on those reported by USDA Agricultural Marketing Service Market News, Organic Food Business News, and USDA National Agricultural Statistics Service.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/organic-prices/documentation.aspx</describedBy><issued>2013-07-05</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States</spatial><temporal>1999-01-01/2011-01-01</temporal><identifier>USDA-ERS-05410</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>cgreene@ers.usda.gov</emailAddress><fn>Catherine Greene</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><downloadURL>http://www.ers.usda.gov/data-products/organic-prices.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Organic Production</title><description>ERS collected data from USDA-accredited State and private certification groups to calculate the extent of certified organic farmland acreage and livestock in the United States. These are presented in tables showing the change in U.S. organic acreage and livestock numbers from 1992 to 2011 (see the National tables section). Data for 1997 and 2000-11 are presented by State and commodity (see the State tables section).</description><accessLevel>public</accessLevel><describedBy>http://www.ers.usda.gov/data-products/organic-production/glossary.aspx</describedBy><issued>2013-09-27</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States</spatial><temporal>1992-01-01/2011-01-01</temporal><identifier>USDA-ERS-29171</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>cgreene@ers.usda.gov</emailAddress><fn>Catherine Greene</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/organic-production/documentation.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/organic-production.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Phytosanitary Regulation</title><description>This data product identifies which countries, under APHIS phytosanitary rules, are eligible to export to the United States the fresh fruits and vegetables that are most important in the American diet.&#13;
&#13;
Increased trade in fresh fruits and vegetables provides U.S. consumers with a variety of benefits including the possibility of improved nutrition by making these products available year-round. Imports of these products are regulated by USDA's Animal and Plant Health and Inspection Service (APHIS) to reduce the risk of inadvertent entry of pests and diseases that could harm agriculture, public health, navigation, irrigation, natural resources, or the environment.&#13;
&#13;
This data product identifies which countries, under APHIS phytosanitary rules, are eligible to export to the United States the fresh fruits and vegetables that are most important in the American diet. Current data represent country eligibility as of June 2012. Previous data represent eligibility in June of 2008 through 2011 and in February of 2007. Data on the absolute and relative importance of these countries in international production and trade, individually and in aggregate, are also included. This data product supports the objectives of the Program for Research on the Economics of Invasive Species (PREISM) under which ERS funded research to improve the economic basis of decisionmaking concerning invasive species issues, policies, and programs between 2003 and 2008.</description><accessLevel>public</accessLevel><describedBy>http://www.ers.usda.gov/data-products/phytosanitary-regulation/documentation.aspx</describedBy><issued>2013-08-29</issued><modified>2014-03-19</modified><identifier>USDA-ERS-00082</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pferrier@ers.usda.gov</emailAddress><fn>Peyton Ferrier</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/phytosanitary-regulation/about-this-product.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/phytosanitary-regulation.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Population-Interaction Zones for Agriculture (PIZA)</title><description>The PIZA codes index small geographic areas (the contiguous 48 States divided up into five-kilometer grid cells) according to the size and proximity of population concentrations.&#13;
&#13;
Widespread conversion of rural lands to urban uses has drawn attention at all levels of government. To provide information useful for projections of future changes in land use, ERS has created a system to classify remaining farmland into "population-interaction zones for agriculture" (PIZA). These zones represent areas of agricultural land use in which urban-related activities (residential, commercial, and industrial) affect the economic and social environment of agriculture. In these zones, interactions between urban-related population and farm production activities tend to increase the value of farmland, change the production practices and enterprises of farm operators, and elevate the probability that farmland will be converted to urban-related uses.</description><accessLevel>public</accessLevel><describedBy>http://www.ers.usda.gov/data-products/population-interaction-zones-for-agriculture-(piza)/documentation.aspx</describedBy><issued>2005-06-01</issued><modified>2014-06-17</modified><identifier>USDA-ERS-00083</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>breneman@ers.usda.gov</emailAddress><fn>Vince Breneman</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><downloadURL>http://www.ers.usda.gov/data-products/population-interaction-zones-for-agriculture-(piza).aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Price Spreads from Farm to Consumer</title><description>USDA Economic Research Service (ERS) compares prices paid by consumers for food with prices received by farmers for corresponding commodities. This data set reports these comparisons for a variety of foods sold through retail food stores such as supermarkets and super centers. Comparisons are made for individual foods and groupings of individual foods-market baskets-that represent what a typical U.S. household buys at retail in a year. The retail costs of these baskets are compared with the money received by farmers for a corresponding basket of agricultural commodities.</description><accessLevel>public</accessLevel><describedBy>http://www.ers.usda.gov/data-products/price-spreads-from-farm-to-consumer/documentation.aspx</describedBy><issued>2013-11-20</issued><modified>2014-03-19</modified><spatial>United States</spatial><identifier>USDA-ERS-29181</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>hstewart@ers.usda.gov</emailAddress><fn>Hayden Stewart</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/price-spreads-from-farm-to-consumer/background.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/price-spreads-from-farm-to-consumer.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Quarterly Food-at-Home Price Database</title><description>The Quarterly Food-at-Home Price Database provides food price data to support research on the economic determinants of food consumption, diet quality, and health outcomes.</description><accessLevel>public</accessLevel><describedBy>http://www.ers.usda.gov/data-products/quarterly-food-at-home-price-database/documentation.aspx</describedBy><issued>2013-07-16</issued><modified>2014-03-19</modified><spatial>United States</spatial><temporal>1999-01-01/2010-01-01</temporal><identifier>USDA-ERS-26031</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jtodd@ers.usda.gov</emailAddress><fn>Jessica Todd</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><downloadURL>http://www.ers.usda.gov/data-products/quarterly-food-at-home-price-database.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Rice Chart Gallery</title><description>These charts provide a snapshot of the domestic and global market for rice, the primary staple for more than half the world's population. Excel files are available from the monthly Outlook reports.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><issued>2013-12-16</issued><modified>2014-03-19</modified><spatial>Global</spatial><identifier>USDA-ERS-00084</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>nchilds@ers.usda.gov</emailAddress><fn>Nathan Childs</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/publications/rcs-rice-outlook.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/rice-chart-gallery.aspx</downloadURL><mediaType>text/html</mediaType><title>Chart gallery</title><type>dcat:Distribution</type></distribution><distribution><description>From monthly Outlook reports.</description><downloadURL>http://www.ers.usda.gov/publications/rcs-rice-outlook.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Rice Yearbook 2016</title><description>U.S. rice production, supply, disappearance, trade, and price data. Includes state acreage, yield, and production data; U.S. and world price series; and program statistics. Contains world supply and use estimates as well.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><issued>2016-03-31</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States</spatial><temporal>1960-01-01/2013-01-01</temporal><identifier>USDA-ERS-02578</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>nchilds@ers.usda.gov</emailAddress><fn>Nathan Childs</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><downloadURL>http://www.ers.usda.gov/data-products/rice-yearbook/</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Rural Definitions</title><description>Dozens of definitions are currently used by Federal and State agencies, researchers, and policymakers. The ERS Rural Definitions data product allows users to make comparisons among nine representative rural definitions. &#13;
&#13;
Methods of designating the urban periphery range from the use of municipal boundaries to definitions based on counties. Definitions based on municipal boundaries may classify as rural much of what would typically be considered suburban. Definitions that delineate the urban periphery based on counties may include extensive segments of a county that many would consider rural.&#13;
&#13;
We have selected a representative set of nine alternative rural definitions and compare social and economic indicators from the 2000 decennial census across the nine definitions. We chose socioeconomic indicators (population, education, poverty, etc.) that are commonly used to highlight differences between urban and rural areas.</description><accessLevel>public</accessLevel><describedBy>http://www.ers.usda.gov/data-products/rural-definitions/data-documentation-and-methods.aspx</describedBy><issued>2007-09-04</issued><landingPage>http://www.ers.usda.gov/data-products/rural-definitions.aspx</landingPage><modified>2014-03-19</modified><spatial>United States</spatial><identifier>USDA-ERS-00085</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jbc@ers.usda.gov</emailAddress><fn>John Cromartie</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/rural-definitions/background.aspx</references><distribution><accessURL>http://www.ers.usda.gov/data-products/rural-definitions/</accessURL><description>Data sources from the U.S. Census Bureau&#13;
National and State Indicator Tables&#13;
State-Level Maps</description><title>Webpage with links to Excel files</title><type>dcat:Distribution</type></distribution><distribution><description>Web page with links to PDF files</description><downloadURL>http://www.ers.usda.gov/data-products/rural-definitions.aspx</downloadURL><mediaType>application/pdf</mediaType><title>State-Level Maps</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Rural-Urban Commuting Area Codes</title><description>The rural-urban commuting area codes (RUCA) classify U.S. census tracts using measures of urbanization, population density, and daily commuting from the decennial census.&#13;
&#13;
The most recent RUCA codes are based on data from the 2000 decennial census. The classification contains two levels. Whole numbers (1-10) delineate metropolitan, micropolitan, small town, and rural commuting areas based on the size and direction of the primary (largest) commuting flows. These 10 codes are further subdivided to permit stricter or looser delimitation of commuting areas, based on secondary (second largest) commuting flows. The approach errs in the direction of more codes, providing flexibility in combining levels to meet varying definitional needs and preferences.&#13;
&#13;
The 1990 codes are similarly defined. However, the Census Bureau's methods of defining urban cores and clusters changed between the two censuses. And, census tracts changed in number and shapes. The 2000 rural-urban commuting codes are not directly comparable with the 1990 codes because of these differences.&#13;
&#13;
An update of the Rural-Urban Commuting Area Codes is planned for late 2013.</description><accessLevel>public</accessLevel><describedBy>http://www.ers.usda.gov/data-products/rural-urban-commuting-area-codes/documentation.aspx</describedBy><issued>2005-03-11</issued><landingPage>http://www.ers.usda.gov/data-products/rural-urban-commuting-area-codes.aspx</landingPage><modified>2014-03-19</modified><spatial>United States</spatial><identifier>USDA-ERS-00086</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jbc@ers.usda.gov</emailAddress><fn>John Cromartie</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><accessURL>http://www.ers.usda.gov/data-products/rural-urban-commuting-area-codes/</accessURL><description>2010 Rural-Urban Commuting Area Codes&#13;
2000 Rural-Urban Commuting Area Codes&#13;
1990 Rural-Urban Commuting Area Codes</description><title>Webpage with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Rural-Urban Continuum Codes</title><description>The 2013 Rural-Urban Continuum Codes form a classification scheme that distinguishes metropolitan counties by the population size of their metro area, and nonmetropolitan counties by degree of urbanization and adjacency to a metro area. &#13;
&#13;
The official Office of Management and Budget (OMB) metro and nonmetro categories have been subdivided into three metro and six nonmetro categories. Each county in the U.S. is assigned one of the 9 codes. This scheme allows researchers to break county data into finer residential groups, beyond metro and nonmetro, particularly for the analysis of trends in nonmetro areas that are related to population density and metro influence. The Rural-Urban Continuum Codes were originally developed in 1974. They have been updated each decennial since (1983, 1993, 2003, 2013), and slightly revised in 1988. Note that the 2013 Rural-Urban Continuum Codes are not directly comparable with the codes prior to 2000 because of the new methodology used in developing the 2000 metropolitan areas. See the Documentation for details and a map of the codes.&#13;
&#13;
An update of the Rural-Urban Continuum Codes is planned for mid-2023.</description><accessLevel>public</accessLevel><describedBy>http://www.ers.usda.gov/data-products/rural-urban-continuum-codes/documentation.aspx</describedBy><modified>2014-03-19</modified><spatial>United States</spatial><identifier>USDA-ERS-00087</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>tparker@ers.usda.gov</emailAddress><fn>Timothy Parker</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><downloadURL>http://www.ers.usda.gov/data-products/rural-urban-continuum-codes.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>SNAP Policy Database</title><description>The SNAP Policy Database provides a central data source for information on State policy options in the Supplemental Nutrition Assistance Program (SNAP). The database includes information on State-level SNAP policies relating to eligibility criteria, recertification and reporting requirements, benefit issuance methods, availability of online applications, use of biometric technology (such as fingerprinting), and coordination with other low-income assistance programs. Data are provided for all 50 States and the District of Columbia for each month from January 1996 through December 2011.&#13;
&#13;
The information in this database can facilitate research on factors that influence SNAP participation and on SNAP's effects on a variety of outcomes, such as health and dietary intake. More specifically, the database can be used to:&#13;
&#13;
- Describe the differences in the State-level administration of SNAP and trends in the adoption of specific State-level SNAP policies,&#13;
- Examine how State policies affect household-level participation in SNAP, and&#13;
- Estimate the effect of SNAP participation on outcomes such as health and food spending by combining this data with nationally representative survey data. The SNAP Policy Database provides a potentially exogenous source of variation in program participation and can be used in instrumental variables estimation techniques.</description><accessLevel>public</accessLevel><describedBy>http://www.ers.usda.gov/data-products/snap-policy-database/documentation.aspx</describedBy><issued>2013-04-24</issued><landingPage>http://www.ers.usda.gov/data-products/snap-policy-database.aspx</landingPage><modified>2014-03-19</modified><identifier>USDA-ERS-00089</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ltiehen@ers.usda.gov</emailAddress><fn>Laura Tiehen</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/snap-policy-database/about-the-database.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/datafiles/SNAPPolicyDatabase/SNAP_Policy_Database.xlsx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>SNAP Policy Data</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Season-Average Price Forecasts</title><description>This data product provides three Excel file spreadsheet models that use futures prices to forecast the U.S. season-average price received and the implied CCP for three major field crops (corn, soybeans, and wheat).&#13;
&#13;
#### Using Futures Prices to Forecast the Season-Average Price and Counter-Cyclical Payment Rate for Corn, Soybeans, and Wheat&#13;
&#13;
Farmers and policymakers are interested in the level of counter-cyclical payments (CCPs) provided by the 2008 Farm Act to producers of selected commodities. CCPs are based on the season-average price received by farmers. (For more information on CCPs, see the ERS 2008 Farm Bill Side-By-Side, Title I: Commodity Programs.) &#13;
&#13;
This data product provides three Excel spreadsheet models that use futures prices to forecast the U.S. season-average price received and the implied CCP for three major field crops (corn, soybeans, and wheat). Users can view the model forecasts or create their own forecast by inserting different values for futures prices, basis values, or marketing weights. Example computations and data are provided on the Documentation page.&#13;
&#13;
#### Spreadsheet Models&#13;
&#13;
For each of the three major U.S. field crops, the Excel spreadsheet model computes a forecast for:&#13;
&#13;
1. the national-level season-average price received by farmers and&#13;
2. the implied counter-cyclical payment rate.&#13;
&#13;
Note: the model forecasts are not official USDA forecasts. See USDA's World Agricultural Supply and Demand Estimates for official USDA season-average price forecasts. See USDA's Farm Service Agency information for official USDA CCP rates.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/season-average-price-forecasts/documentation.aspx</describedBy><landingPage>http://www.ers.usda.gov/data-products/season-average-price-forecasts.aspx</landingPage><modified>2014-06-17</modified><identifier>USDA-ERS-00088</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>lhoffman@ers.usda.gov</emailAddress><fn>Linwood Hoffman</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/season-average-price-forecasts/historical-forecasts.aspx</references><distribution><accessURL>http://www.ers.usda.gov/data-products/season-average-price-forecasts/</accessURL><description>Corn&#13;
Soybeans&#13;
Wheat</description><title>Webpage with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>State Export Data</title><description>Although a State's actual agricultural export value cannot be measured directly, ERS maintains estimates of State shares of U.S. exports for total and selected individual commodities based on U.S. farm cash-receipts data. The estimates are for calendar years, with annual estimates available for 2000-2011. ERS has discontinued updates of an alternative fiscal-year (October to September) series of State export estimates based on State and commodity shares of production, but continues to provide the historical estimates based on that methodology.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/state-export-data/documentation.aspx</describedBy><issued>2013-10-31</issued><modified>2014-03-19</modified><spatial>United States</spatial><identifier>USDA-ERS-00090</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ajerardo@ers.usda.gov</emailAddress><fn>Alberto Jerardo</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><downloadURL>http://www.ers.usda.gov/data-products/state-export-data.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>State Fact Sheets</title><description>State fact sheets provide information on population, income, education, employment, federal funds, organic agriculture, farm characteristics, farm financial indicators, top commodities, and exports, for each State in the United States. Links to county-level data are included when available.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><issued>2013-11-06</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States</spatial><temporal>1992-01-01/2013-11-01</temporal><identifier>USDA-ERS-29191</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>tparker@ers.usda.gov</emailAddress><fn>Timothy Parker</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><downloadURL>http://www.ers.usda.gov/data-products/state-fact-sheets/state-data.aspx</downloadURL><mediaType>text/html</mediaType><title>Query tool</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Subscribe to RSS Feeds</title><description>This provides announcements via RSS of new releases and updates from USDA Economic Research Service.&#13;
&#13;
RSS (Really Simple Syndication) is an easy way for you to be alerted when content that interests you appears on your favorite web sites. Instead of visiting a particular web site to browse for new articles and features or waiting for the publisher to alert you of new releases, RSS automatically tells you when something new is posted online (called a "feed").&#13;
&#13;
ERS offers RSS feeds with headlines, descriptions, and links back to ERS for the full story. Feeds cover data products, publications, outlook reports, Amber Waves e-zine, news/media, and several agricultural economic topics.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1D</accrualPeriodicity><modified>2015-01-29</modified><identifier>USDA-ERS-00100</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webadmin@ers.usda.gov</emailAddress><fn>Website Administrator</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/calendar.aspx</references><distribution><accessURL>http://www.ers.usda.gov/rss</accessURL><description>Select from several feeds</description><format>API</format><title>RSS Feed web page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sugar and Sweeteners Yearbook Tables</title><description>ERS analysts track U.S. and international sugar and sweetener production, consumption, and trade. They also monitor and analyze U.S. sweetener policy and events that affect the domestic, Mexican, and other international sweetener markets.</description><accessLevel>public</accessLevel><describedBy>http://www.ers.usda.gov/data-products/sugar-and-sweeteners-yearbook-tables/documentation.aspx</describedBy><issued>2013-12-20</issued><modified>2014-03-19</modified><spatial>Global</spatial><identifier>USDA-ERS-00091</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>shaley@ers.usda.gov</emailAddress><fn>Stephen Haley</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><downloadURL>http://www.ers.usda.gov/data-products/sugar-and-sweeteners-yearbook-tables.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Supplemental Nutrition Assistance Program (SNAP) Data System</title><description>The Supplemental Nutrition Assistance Program (SNAP) Data System provides time-series data on State and county-level estimates of SNAP participation and benefit levels, combined with area estimates of total population and the number of persons in poverty.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><describedBy>http://www.ers.usda.gov/data-products/supplemental-nutrition-assistance-program-(snap)-data-system/documentation.aspx</describedBy><issued>2013-06-18</issued><modified>2015-01-29</modified><spatial>United States</spatial><identifier>USDA-ERS-26121</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jkirlin@ers.usda.gov</emailAddress><fn>John A. Kirlin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/supplemental-nutrition-assistance-program-(snap)-data-system/time-series-data.aspx</references><categories>geospatial</categories><distribution><downloadURL>https://www.ers.usda.gov/data-products/supplemental-nutrition-assistance-program-snap-data-system/go-to-the-map/</downloadURL><mediaType>text/html</mediaType><title>Interactive map</title><type>dcat:Distribution</type></distribution><distribution><accessURL>http://gis.ers.usda.gov/arcgis/rest/services/</accessURL><description>See http://www.ers.usda.gov/developer/geospatial-apis.aspx for more information.</description><format>API</format><title>GIS API Services</title><type>dcat:Distribution</type></distribution><distribution><description>Excel file</description><downloadURL>https://www.ers.usda.gov/data-products/supplemental-nutrition-assistance-program-snap-data-system/time-series-data/</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Data file</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>U.S. Bioenergy Statistics</title><description>The U.S. Bioenergy Statistics are a source of information on biofuels intended to present a picture of the renewable energy industry and its relationship to agriculture. Where appropriate, data are presented in both a calendar year and the relevant marketing year timeframe to increase utility to feedstock-oriented users. The statistics highlight the factors that influence the demand for agricultural feedstocks for biofuels production; for instance, numerous tables emphasize the relationship between energy and commodity markets.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/us-bioenergy-statistics/documentation.aspx</describedBy><issued>2013-12-17</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States</spatial><temporal>1981-01-01/2013-12-01</temporal><identifier>USDA-ERS-26071</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>tcapehart@ers.usda.gov</emailAddress><fn>Thomas Capehart</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><downloadURL>https://www.ers.usda.gov/data-products/us-bioenergy-statistics/us-bioenergy-statistics/#Supply%20and%20Disappearance</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>U.S. Food Imports</title><description>U.S. consumers demand variety, quality, and convenience in the foods they consume. As Americans have become wealthier and more ethnically diverse, the American food basket reflects a growing share of tropical products, spices, and imported gourmet products. Seasonal and climatic factors drive U.S. imports of popular types of fruits and vegetables and tropical products, such as cocoa and coffee. In addition, a growing share of U.S. imports can be attributed to intra-industry trade, whereby agricultural-processing industries based in the United States carry out certain processing steps offshore and import products at different levels of processing from their subsidiaries in foreign markets.&#13;
&#13;
This data set provides import values of edible products (food and beverages) entering U.S. ports and their origin of shipment. Data are from the U.S. Department of Commerce, U.S. Census Bureau. Food and beverage import values are compiled by calendar year into food groups corresponding to major commodities or level of processing. At least 10 years of annual data are included, enabling users to track long-term growth patterns.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/us-food-imports/documentation.aspx</describedBy><issued>2013-03-29</issued><modified>2014-03-19</modified><spatial>Global</spatial><identifier>USDA-ERS-00093</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ajerardo@ers.usda.gov</emailAddress><fn>Alberto Jerardo</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><downloadURL>http://www.ers.usda.gov/data-products/us-food-imports.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA ERS GIS Map Services and API User Guide</title><description>All of the ERS mapping applications, such as the Food Environment Atlas and the Food Access Research Atlas, use map services developed and hosted by ERS as the source for their map content. These map services are open and freely available for use outside of the ERS map applications. Developers can include ERS maps in applications through the use of the map service REST API, and desktop GIS users can use the maps by connecting to the map server directly.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><issued>2013-11-29</issued><landingPage>https://www.ers.usda.gov/developer/geospatial-apis/</landingPage><modified>2017-01-07</modified><identifier>USDA-ERS-00098</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>dhulph@ers.usda.gov</emailAddress><fn>David Nulph</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>https://www.ers.usda.gov/developer/</references><categories>geospatial</categories><distribution><accessURL>https://www.ers.usda.gov/developer/geospatial-apis/</accessURL><title>API access page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Urban Influence Codes</title><description>The 2013 Urban Influence Codes form a classification scheme that distinguishes metropolitan counties by population size of their metro area, and nonmetropolitan counties by size of the largest city or town and proximity to metro and micropolitan areas. The standard Office of Management and Budget (OMB) metro and nonmetro categories have been subdivided into two metro and 10 nonmetro categories, resulting in a 12-part county classification. This scheme was originally developed in 1993. This scheme allows researchers to break county data into finer residential groups, beyond metro and nonmetro, particularly for the analysis of trends in nonmetro areas that are related to population density and metro influence. &#13;
&#13;
An update of the Urban Influence Codes is planned for mid-2023.</description><accessLevel>public</accessLevel><describedBy>http://www.ers.usda.gov/data-products/urban-influence-codes/documentation.aspx</describedBy><issued>2013-05-10</issued><modified>2014-03-19</modified><spatial>United States</spatial><identifier>USDA-ERS-00092</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>tparker@ers.usda.gov</emailAddress><fn>Timothy Parker</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><distribution><accessURL>http://www.ers.usda.gov/data-products/urban-influence-codes.aspx</accessURL><description>Excel files: 2013 Urban Influence Codes&#13;
2003 and 1993 Urban influence Codes for U.S. counties&#13;
2003 Urban influence Codes for Puerto Rico</description><title>Webpage with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Vegetables and Pulses Data</title><description>This data product provides users with comprehensive statistics on fresh and processed vegetables and pulses in the United States, as well as global production and trade data for these sectors. It harmonizes and integrates data from the ERS market outlook program with data collected by different Federal and international statistical agencies to facilitate analyses of economic performance over time, and across domestic and foreign markets.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/vegetables-and-pulses-data/documentation.aspx</describedBy><issued>2013-12-20</issued><modified>2014-03-19</modified><spatial>United States</spatial><temporal>1989-01-01/2013-10-01</temporal><identifier>USDA-ERS-26151</identifier><publisher><name>Economic Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>sthornsbury@ers.usda.gov</emailAddress><fn>Suzanne Thornsbury</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/vegetables-and-pulses-data.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/vegetables-and-pulses-data/by-category.aspx</downloadURL><mediaType>text/html</mediaType><title>Query tool</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.ers.usda.gov/data-products/vegetables-and-pulses-data/yearbook-tables.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Western Irrigated Agriculture</title><description>This data product summarizes the farm-structural characteristics for irrigated farms in the 17 Western States based on USDA's 2008 and 1998 Farm and Ranch Irrigation Surveys (FRIS) (see the Documentation for data sources and methods). The tables are grouped into 16 sections, ranging from total irrigation values (for all irrigated farms), to higher efficiency irrigation, to irrigated farms receiving financial/technical assistance designed to encourage onfarm water and energy conservation. All tables identify specific irrigation characteristics for four farm size classes, by State. For more details, see the Summary of Results.</description><accessLevel>public</accessLevel><describedBy>http://www.ers.usda.gov/data-products/western-irrigated-agriculture/documentation.aspx</describedBy><issued>2013-06-07</issued><modified>2014-03-19</modified><spatial>United States</spatial><identifier>USDA-ERS-00094</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>schaible@ers.usda.gov</emailAddress><fn>Glenn Schaible</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/western-irrigated-agriculture/summary-of-results.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/western-irrigated-agriculture.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Wheat Chart Gallery</title><description>Charts comparing current prices with previous years and current supply and use variables with the previous marketing year. Excel data files are available from the monthly Outlook reports.</description><accessLevel>public</accessLevel><issued>2013-12-12</issued><modified>2014-03-19</modified><identifier>USDA-ERS-00095</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jkbond@ers.usda.gov</emailAddress><fn>Jennifer Bond</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/publications/whs-wheat-outlook.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/wheat-chart-gallery.aspx</downloadURL><mediaType>text/html</mediaType><title>Chart gallery</title><type>dcat:Distribution</type></distribution><distribution><description>Links to current Wheat Outlook report</description><downloadURL>http://www.ers.usda.gov/topics/crops/wheat/market-outlook/</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Wheat Data</title><description>This data product contains statistics on wheat-including the five classes of wheat: hard red winter, hard red spring, soft red winter, white, and durum-and rye. Includes data published in the monthly Wheat Outlook and previously annual Wheat Yearbook. Data are monthly, quarterly, and/or annual depending upon the data series. Most data are on a marketing year basis, but some are calendar year.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.ers.usda.gov/data-products/wheat-data/documentation.aspx</describedBy><issued>2013-12-19</issued><modified>2014-03-19</modified><identifier>USDA-ERS-00096</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jkbond@ers.usda.gov</emailAddress><fn>Jennifer Bond</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/topics/crops/wheat.aspx</references><distribution><downloadURL>http://www.ers.usda.gov/data-products/wheat-data.aspx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web page with links to Excel files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Widgets</title><description>The ERS content and data APIs (including our pre-made widgets for embedding charts) are currently out of service while we redesign our site. Check back here for updates--we'll keep you informed as to the progress. &#13;
&#13;
Contact us at webadmin@ers.usda.gov with questions.&#13;
&#13;
Enjoy Charts of Note? Paste one of the JavaScript code options into the HTML of your blog or web page to embed a specific Chart of Note or the most recent Chart of Note.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1D</accrualPeriodicity><issued>2013-12-24</issued><modified>2015-01-29</modified><rights>Registration key needed from api.data.gov</rights><identifier>USDA-ERS-00099</identifier><publisher><name>Economic Research Service, U.S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webadmin@ers.usda.gov</emailAddress><fn>Website Administrator</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:13</bureauCode><programCode>005:041</programCode><references>http://www.ers.usda.gov/data-products/charts-of-note.aspx</references></dataset><dataset><title>2007 Census of Agriculture Race, Ethnicity and Gender Profile Data</title><description>This file contains data on race, ethnicity, and gender of U.S. farm and ranch operators collected by the 2007 Census of Agriculture.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><dataQuality>true</dataQuality><describedBy>https://www.agcensus.usda.gov/Publications/2007/Full_Report/Volume_1,_Chapter_1_US/usappxa.pdf</describedBy><issued>2009-02-04</issued><landingPage>https://www.agcensus.usda.gov</landingPage><license>https://creativecommons.org/publicdomain/zero/1.0/</license><modified>2009-02-04</modified><spatial>United States, State, County</spatial><temporal>2007-01-01/2007-12-31</temporal><identifier>USDA-NASS-00002</identifier><publisher><name>National Agricultural Statistics Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>nass@nass.usda.gov</emailAddress><fn>ASB Secretary</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:15</bureauCode><programCode>005:043</programCode><references>https://www.nass.usda.gov/Surveys/Guide_to_NASS_Surveys/Census_of_Agriculture/index.php</references><categories>Agriculture</categories><distribution><downloadURL>https://www.agcensus.usda.gov/Publications/2007/Online_Highlights/Race,_Ethnicity_and_Gender_Profiles/REG_profile_data.zip</downloadURL><format>CSV</format><mediaType>application/zip</mediaType><title>2007 Census of Agriculture Race, Ethnicity, and Gender Data</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>2012 Census of Agriculture - Web Maps</title><description>The Census of Agriculture provides a detailed picture every five years of U.S. farms and ranches and the people who operate them. Conducted by USDA’s National Agricultural Statistics Service, the 2012 Census of Agriculture collected more than six million data items directly from farmers. The Ag Census Web Maps application makes this information available at the county level through a few clicks. The maps and accompanying data help users visualize, download, and analyze Census of Agriculture data in a geospatial context.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><dataQuality>true</dataQuality><describedBy>https://www.agcensus.usda.gov/Publications/2012/Online_Resources/Ag_Census_Web_Maps/Data_download/index.php</describedBy><describedByType>text/html</describedByType><landingPage>https://www.agcensus.usda.gov/Publications/2012/Online_Resources/Ag_Census_Web_Maps/Overview/</landingPage><license>https://creativecommons.org/publicdomain/zero/1.0/</license><modified>2015-02-02</modified><spatial>United States</spatial><temporal>2012-01-01/2012-12-31</temporal><identifier>USDA-NASS-00006</identifier><publisher><name>National Agricultural Statistics Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>nass@nass.usda.gov</emailAddress><fn>Spatial Analysis Research Section</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:15</bureauCode><programCode>005:042</programCode><references>https://www.agcensus.usda.gov/Publications/2012/Online_Resources/Ag_Census_Web_Maps/Data_download/Ag_Census_Map_documentation_07172015.pdf</references><categories>Agriculture</categories><distribution><accessURL>https://www.agcensus.usda.gov/Publications/2012/Online_Resources/Ag_Census_Web_Maps/index.php</accessURL><title>Interactive map</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://www.ers.usda.gov/developer/geospatial-apis/nass-map-service-documentation.aspx</accessURL><describedBy>https://www.ers.usda.gov/developer/geospatial-apis.aspx</describedBy><describedByType>application/html</describedByType><format>API</format><title>GIS API Services</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.agcensus.usda.gov/Publications/2012/Online_Resources/Ag_Census_Web_Maps/Data_download/Ag_Census_Map_data_07172015.xlsx</downloadURL><format>xls</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><title>Data file</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>CropScape - Cropland Data Layer</title><description>The geospatial data product called the Cropland Data Layer (CDL) is hosted on CropScape (https://nassgeodata.gmu.edu/CropScape/). The CDL is a raster, geo-referenced, crop-specific land cover data layer created annually for the continental United States using moderate resolution satellite imagery and extensive agricultural ground truth.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><dataQuality>true</dataQuality><describedBy>https://www.nass.usda.gov/Research_and_Science/Cropland/sarsfaqs2.php</describedBy><describedByType>text/html</describedByType><landingPage>https://nassgeodata.gmu.edu/CropScape/</landingPage><license>http://creativecommons.org/publicdomain/zero/1.0/</license><modified>2017-02-06</modified><spatial>United States</spatial><temporal>1997-01-01/2017-01-01</temporal><identifier>USDA-NASS-00004</identifier><publisher><name>National Agricultural Statistics Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>nass@nass.usda.gov</emailAddress><fn>Spatial Analysis Research Section</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:15</bureauCode><programCode>005:042</programCode><references>https://www.nass.usda.gov/Research_and_Science/Cropland/metadata/meta.php</references><categories>Geospatial, National Geospatial Data Asset, Land Use Land Cover Theme</categories><distribution><accessURL>https://nassgeodata.gmu.edu/CropScape/</accessURL><format>html</format><title>CropScape</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://nassgeodata.gmu.edu/CropScapeService/wms_cdlall.cgi</accessURL><description>XML API. Help information is here: https://nassgeodata.gmu.edu/CropScape/devhelp/help.html</description><format>API</format><type>dcat:Distribution</type></distribution><distribution><accessURL>http://crop.csiss.gmu.edu/arcgis/services/CropScape/MapServer/WMSServer</accessURL><description>ArcGIS API</description><format>API</format><type>dcat:Distribution</type></distribution></dataset><dataset><title>Quick Stats Agricultural Database</title><description>Quick Stats is the National Agricultural Statistics Service's (NASS) online, self-service tool to access complete results from the 1997, 2002, 2007, and 2012 Censuses of Agriculture as well as the best source of NASS survey published estimates. The census collects data on all commodities produced on U.S. farms and ranches, as well as detailed information on expenses, income, and operator characteristics. The surveys that NASS conducts collect information on virtually every facet of U.S. agricultural production.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1D</accrualPeriodicity><dataQuality>true</dataQuality><describedBy>https://www.agcensus.usda.gov/Publications/2012/Full_Report/Volume_1,_Chapter_1_US/usappxa.pdf,https://www.agcensus.usda.gov/Publications/2007/Full_Report/Volume_1,_Chapter_1_US/usappxa.pdf</describedBy><describedByType>application/pdf</describedByType><issued>2009-02-09</issued><landingPage>https://www.nass.usda.gov/Quick_Stats/</landingPage><license>https://creativecommons.org/publicdomain/zero/1.0/</license><modified>2017-03-06</modified><spatial>United States</spatial><temporal>1850-01-01/2017-03-06</temporal><identifier>USDA-NASS-00001</identifier><publisher><name>National Agricultural Statistics Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>nass@nass.usda.gov</emailAddress><fn>ASB Secretary</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:15</bureauCode><programCode>005:042</programCode><references>https://www.nass.usda.gov/Education_and_Outreach/Understanding_Statistics/index.php, https://www.nass.usda.gov/Surveys/Guide_to_NASS_Surveys/Census_of_Agriculture/index.php</references><categories>Agriculture, Weather, Climate, Research</categories><distribution><accessURL>https://quickstats.nass.usda.gov</accessURL><format>HTML</format><title>Quick Stats Agricultural Database Tool</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://quickstats.nass.usda.gov/api</accessURL><describedBy>https://quickstats.nass.usda.gov/api#param_define</describedBy><describedByType>text/html</describedByType><description>Quick Stats API is the programmatic interface to the National Agricultural Statistics Service's (NASS) online database containing results from the 1997, 2002, 2007, and 2012 Censuses of Agriculture as well as the best source of NASS survey published estimates. The census collects data on all commodities produced on U.S. farms and ranches, as well as detailed information on expenses, income, and operator characteristics. The surveys that NASS conducts collect information on virtually every facet of U.S. agricultural production.</description><format>API</format><title>Quick Stats API</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Quick Stats Agricultural Database API</title><description>Quick Stats API is the programmatic interface to the National Agricultural Statistics Service's (NASS) online database containing results from the 1997, 2002, 2007, and 2012 Censuses of Agriculture as well as the best source of NASS survey published estimates. The census collects data on all commodities produced on U.S. farms and ranches, as well as detailed information on expenses, income, and operator characteristics. The surveys that NASS conducts collect information on virtually every facet of U.S. agricultural production.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/PT1S</accrualPeriodicity><dataQuality>true</dataQuality><describedBy>http://www.agcensus.usda.gov/Publications/2007/Full_Report/Volume_1,_Chapter_1_US/usappxb.pdf</describedBy><describedByType>application/pdf</describedByType><issued>2014-05-02</issued><landingPage>http://www.nass.usda.gov/Quick_Stats/</landingPage><license>http://creativecommons.org/publicdomain/zero/1.0/</license><modified>2015-01-01</modified><spatial>United States</spatial><identifier>USDA-NASS-00003</identifier><publisher><name>National Agricultural Statistics Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>nass@nass.usda.gov</emailAddress><fn>ASB Secretary</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:15</bureauCode><programCode>005:042</programCode><references>http://www.nass.usda.gov/Education_and_Outreach/Understanding_Statistics/index.php, http://www.nass.usda.gov/Surveys/Guide_to_NASS_Surveys/Census_of_Agriculture/index.php</references><categories>Agriculture, Weather, Climate, Research</categories><distribution><accessURL>http://quickstats.nass.usda.gov/api</accessURL><title>Quick Stats API</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>VegScape - Vegetative Condition Explorer</title><description>VegScape is a geospatial data service which offers automated updates of vegetative condition at daily, weekly, and biweekly intervals. VegScape delivers interactive vegetation indices that enable quantification of U.S. crop conditions for exploring, visualizing, querying, and disseminating via interactive maps.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1W</accrualPeriodicity><dataQuality>true</dataQuality><license>https://creativecommons.org/publicdomain/zero/1.0/</license><modified>2015-01-28</modified><spatial>United States</spatial><temporal>2000-01-01/2017-03-06</temporal><identifier>USDA-NASS-00005</identifier><publisher><name>National Agricultural Statistics Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>nass@nass.usda.gov</emailAddress><fn>Spatial Analysis Research Section</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:15</bureauCode><programCode>005:042</programCode><categories>Agriculture, Climate, Weather</categories><distribution><accessURL>https://nassgeodata.gmu.edu/VegScape/</accessURL><format>HTML</format><title>VegScape</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://nassgeodata.gmu.edu/VegScape/devhelp/help.html</accessURL><format>API</format><title>VegScape API</title><type>dcat:Distribution</type></distribution></dataset><dataset><title> USDA Table of Cooking Yields for Meat and Poultry</title><description>&lt;p&gt;USDA Table of Cooking Yields for Meat and Poultry, Release 2, is an update of previously released USDA data. Data in the updated table, accessible below, are measures of changes in meat and poultry weights resulting from moisture and fat losses during cooking. The table includes percentages for cooking yield, moisture change, and fat change for specific cuts of meat and poultry prepared in USDA research studies according to specific cooking protocols.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/usda-table-cooking-yields-meat-and-poultry/resource/9961ab5a-e8a4-4676-88de-1919eec438ed</describedBy><modified>2017-11-16</modified><identifier>af40d7ef-a2eb-4ffb-bf7c-7b4acc0ba60d</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>janet.roseland@ars.usda.gov</emailAddress><fn>Roseland, Janet</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://www.ars.usda.gov/northeast-area/beltsville-md/beltsville-human-nutrition-research-center/nutrient-data-laboratory/</references><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/USDA_CookingYields_MeatPoultry02.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ars.usda.gov/ARSUserFiles/80400525/Data/retn/USDA_CookingYields_MeatPoultry02.xlsx</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/USDA_CookingYields_MeatPoultry02_0.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/USDA_CookingYields_MeatPoultry02_DD.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>2012 USDA Plant Hardiness Zone Map</title><description>The 2012 USDA Plant Hardiness Zone Map is the standard by which gardeners and growers can determine which plants are most likely to thrive at a location. The map is based on the average annual minimum winter temperature, divided into 10-degree F zones.</description><accessLevel>public</accessLevel><landingPage>http://planthardiness.ars.usda.gov/PHZMWeb/</landingPage><modified>2012-01-02</modified><identifier>USDA-NIFA-RV-0002</identifier><publisher><name>Agricultural Research Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>phzm@ars.usda.gov</emailAddress><fn>ARS</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><description>US Map 300 dpi (RGB)</description><downloadURL>http://planthardiness.ars.usda.gov/PHZMWeb/Images/All_states_halfzones_poster_rgb_300dpi.pdf</downloadURL><mediaType>application/pdf</mediaType><title>2012 USDA Plant Hardiness Zone Map</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>APLE : Annual Phosphorus Loss Estimator Tool </title><description>&lt;p&gt;APLE is a Microsoft Excel spreadsheet model that runs on an annual time-step and estimates field-scale, sediment bound and dissolved P loss (kg ha−1) in surface runoff for agricultural field. APLE is intended to quantify P loss through process-based equations. It has been tested for its ability to reliably predict P loss in runoff for systems with machine-applied manure and for soil P cycling using data from a wide variety of agricultural fields and regions.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/aple-annual-phosphorus-loss-estimator-tool/resource/ac88302a-560e-420b-80d8-c5abf9db3262</describedBy><modified>2017-09-15</modified><spatial>POLYGON ((-90.415429 46.568478, -90.229213 46.508231, -90.119674 46.338446, -89.09001 46.135799, -88.662808 45.987922, -88.531362 46.020784, -88.10416 45.922199, -87.989145 45.796229, -87.781021 45.675736, -87.791975 45.500474, -87.885083 45.363551, -87.649574 45.341643, -87.742682 45.199243, -87.589328 45.095181, -87.627666 44.974688, -87.819359 44.95278, -87.983668 44.722749, -88.043914 44.563917, -87.928898 44.536533, -87.775544 44.640595, -87.611236 44.837764, -87.403112 44.914442, -87.238804 45.166381, -87.03068 45.22115, -87.047111 45.089704, -87.189511 44.969211, -87.468835 44.552964, -87.545512 44.322932, -87.540035 44.158624, -87.644097 44.103854, -87.737205 43.8793, -87.704344 43.687607, -87.791975 43.561637, -87.912467 43.249452, -87.885083 43.002989, -87.76459 42.783912, -87.802929 42.493634, -88.788778 42.493634, -90.639984 42.510065, -90.711184 42.636034, -91.067185 42.75105, -91.143862 42.909881, -91.176724 43.134436, -91.056231 43.254929, -91.204109 43.353514, -91.215062 43.501391, -91.269832 43.616407, -91.242447 43.775238, -91.43414 43.994316, -91.592971 44.032654, -91.877772 44.202439, -91.927065 44.333886, -92.233773 44.443425, -92.337835 44.552964, -92.545959 44.569394, -92.808852 44.750133, -92.737652 45.117088, -92.75956 45.286874, -92.644544 45.440228, -92.770513 45.566198, -92.885529 45.577151, -92.869098 45.719552, -92.639067 45.933153, -92.354266 46.015307, -92.29402 46.075553, -92.29402 46.667063, -92.091373 46.749217, -92.014696 46.705401, -91.790141 46.694447, -91.09457 46.864232, -90.837154 46.95734, -90.749522 46.88614, -90.886446 46.754694, -90.55783 46.584908, -90.415429 46.568478))</spatial><identifier>82966db3-f5d0-447d-b972-d2fc1314ce62</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>peter.vadas@ars.usda.gov</emailAddress><fn>Vadas, Peter</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.ars.usda.gov/Services/docs.htm?docid=21763</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ars.usda.gov/ARSUserFiles/50901500/pdf's/APLEUsersManual24.pdf</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/APLEUsersManual24.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>ARS Collection of Entomopathogenic Fungal Cultures</title><description>&lt;p&gt;The Agricultural Research Service Collection of Entomopathogenic Fungal Cultures is the world's largest, most kaleidoscopic, and most comprehensive collection of living cultures of fungi that are pathogenic to or associated with insects, spiders, mites, ticks, and other invertebrates. Some isolates in the collection are not themselves invertebrate pathogens but are critically important for the improvements of taxonomies and systematics for the many diverse groups of fungi represented here. As of July 2016, ARSEF maintains more than 13000 isolates of more than 700 taxa of fungi isolated from 1300 hosts collected at more than 2400 locations on every continent.&lt;/p&gt;
&lt;p&gt;The database is searchable by Fungi, Hosts, Locations, Provenance, or Accessions. Results are provided in PDF format.&lt;/p&gt;
&lt;p&gt;Catalog files are in the Adobe Acrobat (PDF) format and are readable with the Adobe Acrobat Reader.&lt;/p&gt;
&lt;p&gt;All catalogs and live searches of isolate data incorporate the most current supportable taxonomies for ARSEF fungi. Significant changes in the nomenclatural rules for many fungi have a large and ongoing impact on the entomopathogens in the order Hypocreales. These changes are discussed the introductory material in the catalogs.&lt;/p&gt;
&lt;p&gt;If you are unsure about the most current identifications for isolates, online searches of ARSEF accessions return taxonomic information in the collection database at the moment of the search.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-05-10</modified><identifier>32e00bcb-b720-4a11-a82a-7e81fb1804af</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>richard.humber@ars.usda.gov</emailAddress><fn>Humber, Richard A.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://usfsc.grscicoll.org/cool/0jgm-5cff</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ars.usda.gov/News/docs.htm?docid=12125</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://arsef.fpsnl.cornell.edu/indexold.shtml</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ars.usda.gov/Main/docs.htm?docid=12125&amp;page=2</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://arsef.fpsnl.cornell.edu/4DACTION/W_List_Tables/param</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>ARS Microbial Genomic Sequence Database Server</title><description>&lt;p&gt;This database server is supported in fulfilment of the research mission of the Mycotoxin Prevention and Applied Microbiology Research Unit at the National Center for Agricultural Utilization Research in Peoria, Illinois. The linked website provides access to gene sequence databases for various groups of microorganisms, such as Streptomyces species or Aspergillus species and their relatives, that are the product of ARS research programs. The sequence databases are organized in the BIGSdb (Bacterial Isolate Genomic Sequence Database) software package developed by Keith Jolley and Martin Maiden at Oxford University.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-21</modified><identifier>31e99572-2285-4244-8a2b-876fcb7ae6ff</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Todd.Ward@ars.usda.gov</emailAddress><fn>Ward, Todd</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://199.133.98.43</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>ARS Plant Hardiness Zone Map (PHZM)</title><description>The PHZM is a web-based, GIS application whereby users can search and/or download plant hardiness zone information for specific zip codes, states, and regions of the country.</description><accessLevel>public</accessLevel><modified>2014-05-01</modified><identifier>USDA-ARS-00053</identifier><publisher><name>Agricultural Research Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Gary.Rich@ars.usda.gov</emailAddress><fn>Gary Rich</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><distribution><downloadURL>http://planthardiness.ars.usda.gov/PHZMWeb/</downloadURL><mediaType>text/html</mediaType><title>Plant Hardiness Zone Map</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>ARS Water Database</title><description>&lt;p&gt;The ARS Water Data Base is a collection of precipitation and streamflow data from small agricultural watersheds in the United States. This national archive of variable time-series readings for precipitation and runoff contains sufficient detail to reconstruct storm hydrographs and hyetographs. There are currently about 14,000 station years of data stored in the data base. Watersheds used as study areas range from 0.2 hectare (0.5 acres) to 12,400 square kilometers (4,786 square miles). Raingage networks range from one station per watershed to over 200 stations. The period of record for individual watersheds vary from 1 to 50 years. Some watersheds have been in continuous operation since the mid 1930's.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/ars-water-database/resource/c3b8a7d2-6d00-4ef5-b6a1-6a873c6d8321</describedBy><modified>2017-11-28</modified><identifier>0944ce8d-4f85-4d12-b864-7351ffa948a9</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Glenn.Moglen@ars.usda.gov</emailAddress><fn>Moglen, Glenn</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/ars_water.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/format.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/inventor.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/README_2.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/INDEX.TXT</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ars.usda.gov/northeast-area/beltsville-md/beltsville-agricultural-research-center/hydrology-and-remote-sensing-laboratory/docs/ars-water-database/services/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>AVAILABLE TECHNOLOGIES</title><description>This feed provides readers with information about ARS technologies relating to biobased products, biotechnology, crop production, food safety &amp; nutrition, natural resources, and animal production.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/PT1S</accrualPeriodicity><issued>2007-08-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States of America</spatial><temporal>2001-05-01/2009-08-01</temporal><identifier>USDA-ARS-00003</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>natasha.snuggs@ars.usda.gov</emailAddress><fn>Natasha Snuggs</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://www.ars.usda.gov/News/docs.htm?docid=6697</references><distribution><downloadURL>http://www.ars.usda.gov/business/rss/availtechs.cfm?catalog=all</downloadURL><mediaType>application/rss+xml</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>AgAR (Agricultural Antibiotic Resistance)</title><description>&lt;p&gt;An Environmental Component of a "One Health" approach, the mission of the Agricultural Antibiotic Resistance (AgAR) project is to&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;develop practical tools and protocols to measure antibiotic drugs, resistant bacteria and resistance genes in agriculturally-impacted soil, water, air, and food;&lt;/li&gt;
&lt;li&gt;design and evaluate agricultural best management practices to limit the persistence and spread of antibiotic resistance from agroecosystems;&lt;/li&gt;
&lt;li&gt;facilitate sharing of ideas and resources among ARS scientists by establishing an agency-wide network of researchers with the common goal of conducting science-based research on AgAR topics.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;ANTIBIOTIC DRUGS: Which drugs are the most relevant for each type of ag production system? At what level do excreted drugs continue to provide selective pressure in the environment?&lt;/p&gt;
&lt;p&gt;RESISTANT BACTERIA: What is the relative contribution of specific bacteria to resistance in human clinical settings? Are some bacteria more likely than others to donate or receive resistance genes? What is the relative contribution of clonal spread of pathogens versus horizontal gene transfer?&lt;/p&gt;
&lt;p&gt;RESISTANT GENES: How long do specific types of genes persist in agricultural samples? What conditions increase or decrease the likelihood of a successful transfer in manure, soil, water, and air? What is the role of the natural soil "resistome"?&lt;/p&gt;
&lt;p&gt;AgAR Network Goals:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Connect ARS researchers at multiple locations in order to develop and assess methods for measuring resistance that are robust, and that are validated across production systems and geographical areas.&lt;/li&gt;
&lt;li&gt;Identify which types of resistance are relevant to measure, based on an understanding of individual production systems and prioritized human health threats as identified by WHO and CDC&lt;/li&gt;
&lt;li&gt;Encourage the collection of baseline data and control samples so that the impact of agricultural best management practices can be accurately determined.&lt;/li&gt;
&lt;li&gt;Assess persistence of antibiotic drugs, resistant bacteria and resistance genes in environmental and pre-harvest settings.&lt;/li&gt;
&lt;li&gt;Long term goal: Discover the details of how, and at what rate bacteria and genes move back and forth between animals and humans through agricultural systems (soil, water, air wildlife, insects, and food).&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The AgAR network is composed of ARS scientists with an interest in understanding the ecology of antibiotic resistance in soil, water, air, insects, wildlife, and food. The network currently represents 4 national programs at 10 ARS locations across the United States, with over 200 peer-reviewed publications on AgAR topics, authored and co-authored by over 70 current and former ARS employees.&lt;/p&gt;
&lt;p&gt;Activities:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Facilitate routine communication between AgAR members to address priority research areas, encourage agency and location wide collaboration and minimize research overlap.&lt;/li&gt;
&lt;li&gt;Establish a framework for the cross-laboratory validation of AgAR methods.&lt;/li&gt;
&lt;li&gt;Serve as a resource to scientists, stakeholders and administrators on current and past projects that address AgAR.&lt;/li&gt;
&lt;li&gt;Provide a point of contact for agency coordinators to solicit information and transmit agency goals to relevant research groups.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Importance:&lt;/p&gt;
&lt;p&gt;While there is broad agreement the use of antibiotics in food animals has the potential to adversely impact human clinical outcomes, the details of how this happens are unknown, and there is a critical need for information on antibiotic resistance (AR) in agricultural settings (AgAR). U.S. and international health organizations have taken the lead on identifying specific antibiotic drugs and resistant infections that are critical to human health. ARS is uniquely positioned to provide information on the "farm" side of the "farm to fork continuum". ARS scientists are able to address these questions in a practical way, by combining their experience (over 200 peer-reviewed ARS publications on antibiotic resistance) with their applied understanding of agricultural production systems.&lt;/p&gt;
&lt;p&gt;ORGANIZATION: Scientists work on their own, individual research projects. The AgAR network provides resources to participants to encourage collaboration across program areas and geographical location.&lt;/p&gt;
&lt;p&gt;MANAGEMENT: The AgAR network is operated using a wiki community approach. All participating scientists are encouraged to contribute to and share in the community resources. Currently, the group resources will be curated by the group coordinator, with input and guidance from a five person advisory panel.&lt;/p&gt;
&lt;p&gt;RESOURCES: Bibliography of peer-reviewed AgAR papers by ARS authors • AgAR topic reference lists • information on meetings and conferences • "AR_in_environment" listserve • Community webinars&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-07</modified><identifier>67671ab1-8d31-426a-b5e2-0225ed542934</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>lisa.durso@ars.usda.gov</emailAddress><fn>Durso, Lisa</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.ars.usda.gov/ARSUserFiles/anrds/AgAR%20two%20page%20flyer%20V4.pdf</downloadURL><format>pdf</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://gpsr.ars.usda.gov/natres</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ars.usda.gov/anrds/agar/agar-home/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Agricultural Conservation Planning Framework (ACPF) Database</title><description>&lt;p&gt;Spatial data on soils, land use, and topography, combined with knowledge of conservation effectiveness can be used to identify alternatives to reduce nutrient discharge from small watersheds. This database was developed to be used in conjunction with the Agricultural Conservation Planning Framework Toolkit.&lt;/p&gt;
&lt;p&gt;Data comprise soil survey information and land use. Soil characterization data were extracted from the Natural Resources Conservation Service (NRCS) Web Soil Survey (Soil Survey Staff, 2013). Land use coverages were developed to represent agricultural fields and the types and rotations of agricultural crops and other land cover types. Land use boundaries were produced by editing a publicly available USDA field boundaries dataset (pre-2008), with all ownership and county-level attributes removed. To ensure these field polygons were consistent with recent land use, the 2009 Cropland Data Layer (USDA-NASS, 2013) was examined for all fields larger than 16 ha. For those fields with multiple cover types, 2009 National Agricultural Imagery Program (NAIP) aerial photography was used as a basis to manually edit field boundaries. A field was considered to have multiple cover types and was edited if the dominant cover occupied &amp;lt;75% of the field, as indicated by the 2009 Cropland Data Layer. Updated field boundaries were then overlaid with data from USDA-National Agricultural Statistics Service (2013) Cropland Data Layer for 2000 – 2014, and each field was classified to represent crop rotations and land cover using the most recent six-year (2009-2014) sequence of land cover. Six-year land-cover strings (e.g., corn-corn-soybean-corn-soybean-corn) generated for each field were classified to represent major crop rotations, which were dominantly comprised of corn (Zea mays L.) and soybean (Glycine max (L.) Merr) annual row crops.&lt;/p&gt;
&lt;p&gt;The database does not include high-resolution digital elevation models (DEMs) derived from LiDAR (light detection and ranging) survey data, although these are needed by the Agricultural Conservation Planning Framework Toolkit and must be obtained independently.&lt;/p&gt;
&lt;p&gt;Database is scheduled to become available on October 1, 2015.&lt;/p&gt;
</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><modified>2017-12-11</modified><identifier>5bb4487b-f262-4d11-b05c-00beba93f029</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>david.james@ars.usda.gov</emailAddress><fn>James, David</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://data.nal.usda.gov/dataset/agricultural-conservation-planning-framework-acpf-toolbox, http://websoilsurvey.sc.egov.usda.gov/App/WebSoilSurvey.aspx, http://nassgeodata.gmu.edu/CropScape/, https://gdg.sc.egov.usda.gov/GDGHome_StatusMaps.aspx</references><distribution><downloadURL>http://northcentralwater.org/acpf/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.nrrig.mwa.ars.usda.gov/st30_huc/huc.html</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Agricultural Conservation Planning Framework (ACPF) Toolbox</title><description>&lt;p&gt;Spatial data on soils, land use, and topography combined with knowledge of conservation effectiveness can be used to reduce nutrient discharge from small watersheds.&lt;/p&gt;
&lt;p&gt;The Agricultural Conservation Planning Framework (ACPF) Toolbox software includes tools to process the LiDAR-based digital elevation models for hydrologic analysis, which then allows a series of prioritization, riparian classification, and conservation-practice placement tools to be used. These toolsets identify agricultural fields most prone to deliver runoff directly to streams, map and classify riparian zones to inform whole-watershed riparian corridor management, and estimate the extent of tile drainage in the watershed. The software maps out suites of locations appropriate to install each of several types of conservation practices. These practice-placement opportunities are mapped for practices including controlled drainage, grassed waterways, water and sediment control basins, and nutrient removal wetlands. Rather than making any recommendations, ACPF provides an inventory of watershed assessment data and conservation placement opportunities across a watershed, in order to inform local watershed planning.&lt;/p&gt;
&lt;p&gt;ACPF software runs as an extension to ArcGIS software (ver 10.2 or higher) and requires the customized ACPF spatial databases that include agricultural field boundaries and land uses, key soil survey information, and LiDAR based elevation data that are all tied to the Hydrologic Unit Code (HUC) 12 watershed scale.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-11</modified><identifier>937aa7d7-3f37-4b89-96cc-043c3c618401</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>mark.tomer@ars.usda.gov</emailAddress><fn>Tomer, Mark D.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>http://data.nal.usda.gov/dataset/agricultural-conservation-planning-framework-acpf-database</references><distribution><downloadURL>http://northcentralwater.org/acpf/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Agricultural Research Service (ARS) Corn, Ames, Iowa</title><description>&lt;p&gt;Four-year rainfed corn field experiment in Ames, Iowa. This dataset is part of an Agricultural Model Intercomparison and Improvement Project (AgMIP) data node maintained at National Agricultural Library for USDA-AgMIP data.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-21</modified><identifier>05bec235-b04b-4d6d-a019-c15b5c9ae698</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jerry.Hatfield@ARS.USDA.GOV</emailAddress><fn>Hatfield, Jerry</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>http://tools.agmip.org/quadui.php</references><distribution><downloadURL>https://docs.google.com/spreadsheets/d/1MYx1ukUsCAM1pcixbVQSu49NU-LfXg-Dtt-ncLBzGAM/pub?output=html</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://agmip.nal.usda.gov/api/cropsitedb/2/dataset/adf7081a-c0ba-46a3-8a05-2bb9713b1bd9</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Agricultural Research Service Culture Collection (NRRL - Northern Regional Research Laboratory) Database</title><description>&lt;p&gt;The ARS Culture Collection is one of the largest public collections of microorganisms in the world, containing approximately 93,000 strains of bacteria and fungi. The collection is split into subcollections of molds, prokaryotes, and yeasts. In addition, the online catalog is searchable by genus, species, subvar type, and subspecies.&lt;/p&gt;
&lt;p&gt;The collection is housed within the &lt;a href="http://www.ars.usda.gov/main/site_main.htm?modecode=36-20-71-00"&gt;Mycotoxin Prevention and Applied Microbiology Research Unit&lt;/a&gt; at the &lt;a href="http://www.ars.usda.gov/main/site_main.htm?modecode=36-20-00-00"&gt;National Center for Agricultural Utilization Research&lt;/a&gt; in Peoria, Illinois. The scientists and staff of the ARS Culture Collection conduct and facilitate microbiological research that advances agricultural production, food safety, public health, and economic development. These goals are pursued through in-house research that improves understanding and utilization of microbiological diversity and through efforts to enhance the value and accessibility of microbial accessions in the Agricultural Research Service Culture Collection.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-05-10</modified><identifier>473dea0f-e7e6-4245-82d9-bab6b161818f</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>james.swezey@ars.usda.gov</emailAddress><fn>Swezey, James</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://usfsc.grscicoll.org/cool/khft-j2x0</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://nrrl.ncaur.usda.gov/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://nrrl.ncaur.usda.gov/database.html</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Animal Germplasm Resources Information Network</title><description>&lt;p&gt;Animal genetic resources underpin the livestock sector's production and profitability. As a result livestock industries contribute billions of dollars to national economies. The Animal Germplasm Resources Information Network mission is to acquire, evaluate and preserve these strategic resources so that industry and the research community can have access to a broad array of genetic variability for: national security, introduction of genetic variation, corrective breeding, and various research initiatives. There are three major technical components:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Information Systems&lt;/strong&gt; to better understand genetic diversity in the collection of germplasm and live populations.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Genetic Evaluation&lt;/strong&gt; - understanding genetic diversity for the collection of germplasm and live populations.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Cryobiology&lt;/strong&gt;, the discipline that enables the program to store gametes and various tissues at ultra-low temperatures (about -196°C).&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;In addition this program interacts with a wide range of livestock producers, researchers, and various industry representatives. Users can drill down to explore the germplasm collection by species, breed, line, and individual; compare taxonomies; find animals that meet their criteria to make a germplasm request.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-11</modified><identifier>c45e115e-205c-4d28-9c1b-be39acc4ab18</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>harvey.blackburn@ars.usda.gov</emailAddress><fn>Blackburn, Harvey</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://nrrc.ars.usda.gov/A-GRIN/main_webpage_dev/ars?record_source=US</downloadURL><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Annotated reference transcriptome for female Culicoides sonorensis biting midges</title><description>&lt;p&gt;Unigene sequences were annotated by BlastX alignment to the non-redundant protein database (National Center for Biotechnology Information/GenBank) and the Aedes aegypti and Culex quinquefasciatus gene annotations (Vectorbase). This was done with a 1e-05 expectation value. Top hits are shown including accession numbers and description, if available. Unigene number and corresponding GenBank accession numbers are provided for all C. sonorensis genes. Both tables are modified from supplementary information tables at &lt;a href="http://dx.doi.org/10.1371/journal.pone.0098123.s003"&gt;http://dx.doi.org/10.1371/journal.pone.0098123.s003&lt;/a&gt; and numbered accordingly.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/annotated-reference-transcriptome-female-culicoides-sonorensis-biting-midges/resource</describedBy><modified>2017-11-17</modified><identifier>0e063bb5-f446-4809-89b3-e8747a97a61b</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>saski@clemson.edu</emailAddress><fn>Saski, Christopher A.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://data.nal.usda.gov/dataset/data-reference-transcriptome-adult-female-biting-midge-culicoides-sonorensis-and</references><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/data%20dictionary%20Nayduch%20S2%20S3_2.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/table%20s2%20annotation.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/table%20S3%20GO%20terms.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>AnthWest, occurrence records for wool carder bees of the genus Anthidium (Hymenoptera: Megachilidae, Anthidiini) in the Western Hemisphere</title><description>&lt;p&gt;AnthWest is a large dataset, one of the outcomes of a comprehensive, broadly comparative study on the diversity, biology, biogeography, and evolution of &lt;em&gt;Anthidium&lt;/em&gt; Fabricius in the Western Hemisphere. In this dataset a total of 22,648 adult occurrence records comprising 9,657 unique events are documented for 92 species of &lt;em&gt;Anthidium&lt;/em&gt;, including the invasive range of two introduced species from Eurasia, &lt;em&gt;A. oblongatum&lt;/em&gt; (Illiger) and &lt;em&gt;A. manicatum&lt;/em&gt; (Linnaeus). The geospatial coverage of the dataset extends from northern Canada and Alaska to southern Argentina, and from below sea level in Death Valley, California, USA, to 4,700 m a.s.l. in Tucumán, Argentina. The majority of the records in the dataset correspond to information recorded from individual specimens examined by the authors during this project, and deposited into 60 biodiversity collections located in Africa, Europe, North and South America.&lt;br /&gt;
A fraction (4.8%) of the occurrence records were taken from the literature, largely California records from a taxonomic treatment with some additional records for the two introduced species. The temporal scale of the dataset represents collection events recorded between 1886 and 2012.&lt;/p&gt;
&lt;p&gt;The data underpinning the analysis reported in this paper are deposited at GBIF, the Global Biodiversity Information Facility, &lt;a href="http://ipt.pensoft.net/ipt/resource.do?r=anthidium"&gt;http://ipt.pensoft.net/ipt/resource.do?r=anthidium&lt;/a&gt;.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-05-10</modified><spatial>POLYGON ((-164.8828125 71.828839565851, -174.0234375 53.904338156275, -166.9921875 49.553725513476, -154.3359375 55.92458580483, -140.2734375 57.844750992891, -129.0234375 48.166085419013, -121.9921875 33.358061612779, -110.0390625 19.559790136497, -91.7578125 11.436955216143, -80.5078125 3.0746950723697, -77.6953125 -15.029685756556, -71.3671875 -23.644524198574, -76.2890625 -43.389081939117, -77.6953125 -58.676937672587, -63.6328125 -57.562995459387, -63.6328125 -44.902577996289, -47.4609375 -26.82407078047, -34.8046875 -4.653079918274, -63.6328125 16.214674588249, -83.3203125 31.578535426473, -72.0703125 43.2612061248, -58.7109375 44.276671273775, -51.6796875 48.166085419013, -59.4140625 56.316536722113, -60.8203125 59.310767956039, -62.9296875 64.886265409145, -69.9609375 70.93100353239, -79.1015625 74.283563470361))</spatial><identifier>be25b52d-8086-4632-81fa-673353e4549e</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>terry.griswold@ars.usda.gov</emailAddress><fn>Griswold, Terry </fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://zookeys.pensoft.net/articles.php?id=3799</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://ipt.pensoft.net/ipt/archive.do?r=anthidium</downloadURL><format>zip</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Aphidnet</title><description>&lt;p&gt;AphID includes a key to the 66 most polyphagous and cosmopolitan aphid species. The key for slide-mounted specimens has 132 end points. The key does not include males, oviparae, or immatures. It may not work for all fundatrices or alatae and apterae from primary hosts (for those species with host alternation). AphID includes all 38 aphid species in the dichotomous keys to polyphagous aphids in the three seminal works by Roger Blackman &amp;amp; Victor Eastop (1994, 2000, 2006). The remaining aphids represent the 28 species most frequently intercepted at United States ports of entry that are not already represented on the Blackman &amp;amp; Eastop list. AphID offers users detailed descriptions of morphological features critical to identifying aphids along with annotated photographs to help illustrate each feature. Separate pages are devoted to suites of features, for example all features of the antenna are found on the same page. The morphology pages are crosslinked with a detailed glossary.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-21</modified><identifier>eaa37342-ef8a-4066-b957-c25ce739b688</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gary.miller@ars.usda.gov</emailAddress><fn>Miller, Gary</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://aphid.aphidnet.org/index.php</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Available Technologies</title><description>A list of the available technologies for public use</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P3M</accrualPeriodicity><issued>2013-04-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>The available technologies are from USDA, Agricultural Research Service labs located at 90 locations.</spatial><identifier>USDA-ARS-00005</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>melissa.repoza@ars.usda.gov</emailAddress><fn>Melissa Repoza</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://www.ars.usda.gov/business/docs.htm?docid=763&amp;page=7</references><distribution><downloadURL>http://www.ars.usda.gov/business/docs.htm?docid=763&amp;page=7</downloadURL><mediaType>application/xml</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>BBGD454: an Online Database for Blueberry Genomic Data Transcriptome analysis of Blueberry using 454 EST sequencing</title><description>&lt;p&gt;This database houses over 500,000 sequences that were generated and assembled into approximately 15,000 contigs, annotated and functionally mapped to Gene Ontology (GO) terms.&lt;/p&gt;
&lt;p&gt;Blueberry (&lt;em&gt;Vaccinium corymbosum&lt;/em&gt;) is a major berry crop in the United States. Next generation sequencing methodologies, such as 454, have been demonstrated to be successful and efficient in producing a snap-shot of transcriptional activities during an organism’s developmental stage(s) or its response to biotic or abiotic stresses. Such application of this new sequencing technique allows for high-throughput, genome-wide experimental verification of known and novel transcripts. We have applied a high-throughput pyrosequencing technology (454 EST sequencing) for transcriptome profiling of blueberry during different stages of fruit development to gain an understanding of the genes that are up or down regulated during this process. We have also sequenced flower buds at four different stages of cold acclimation to gain a better understanding of the genes and biochemical pathways that are up- or down-regulated during cold acclimation, since extreme low temperatures are known to reduce crop yield and cause major losses to US farmers. We have also sequenced a leaf sample to compare its transcriptome profile with that of bud and fruit samples. Over 500,000 sequences were generated and assembled into approximately 15,000 contigs and were annotated and functionally mapped to Gene Ontology (GO) terms. A database was developed to house these sequences and their annotations. A web based interface was also developed to allow collaborators to search\browse the data and aid in the analysis and interpretation of the data. The availability of these sequences will allow for future advances, such as the development of a blueberry microarray to study gene expression, and will aid in the blueberry genome sequencing effort that is underway.&lt;br /&gt;
This work was supported by grant 2008-51180-04861 from the USDA - Cooperative State Research, Education, and Extension Service (CSREES) Specialty Crop Research Initiative program.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-21</modified><identifier>1dc3d6bc-de2c-44bb-b0de-5322941c1604</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>nalkharouf@towson.edu</emailAddress><fn>Alkharouf, Nadim W.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://bioinformatics.towson.edu/BBGD454/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>BBGD: an Online Database for Blueberry Genomic Data</title><description>&lt;p&gt;BBGD (&lt;a href="http://bioinformatics.towson.edu/BBGD/"&gt;http://bioinformatics.towson.edu/BBGD/&lt;/a&gt;) was developed as a database for blueberry genomics. BBGD is both a sequence and gene expression database. It stores both EST and microarray data and allows scientists to correlate expression profiles with gene function. BBGD is a public online database. "Presently, the main focus of the database is the identification of genes in blueberry that are significantly induced or suppressed after low temperature exposure. "&lt;/p&gt;
&lt;p&gt;To gain a better understanding of changes in gene expression associated with cold acclimation in blueberry, the Rowland laboratory (USDA-ARS, Beltsville, MD) has undertaken a genomics approach based on the analysis of Expressed Sequence Tags (ESTs). Initially, two standard cDNA libraries were constructed using RNA from cold-acclimated and non-acclimated floral buds of the blueberry cultivar ‘Bluecrop’ (&lt;em&gt;Vaccinium corymbosum&lt;/em&gt; L.) and about 1200 5’-end ESTs were generated from each of the libraries. About 100 3’-end ESTs were generated from the cold-acclimated library as well.&lt;/p&gt;
&lt;p&gt;The Blueberry EST database contains EST sequences from a number blueberry libraries including cold acclimated and non-acclimated libraries. It also includes forward and reverse subtractive libraries.&lt;/p&gt;
&lt;p&gt;You can query the sequence database by clone ID, accession number or gene (clone) name below. Or you can get a list (in tabular) format of all the clones in a particular library by clicking on the library name on the left side navigation bar.&lt;/p&gt;
&lt;p&gt;Attribution for photo: &lt;a href="http://www.ars.usda.gov/is/graphics/photos/sep12/d2601-1.htm"&gt;D2601-1 - Blueberry plant:&lt;/a&gt; Copyright free, public domain photo by Mark Ehlenfeldt&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2018-01-02</modified><identifier>132015a0-b76b-4b90-aab8-0830d7d84084</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>nalkharouf@towson.edu</emailAddress><fn>Alkharouf, Nadim W.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://bioinformatics.towson.edu/BBGD/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>BMC Genomics P. pachyrhizi Supplemental Data</title><description>&lt;p&gt;Data about Phakopsora pachyrhizi, causative agent of soybean rust. Genomics and Bioinformatics Research Unit, Stoneville, MS.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/bmc-genomics-p-pachyrhizi-supplemental-data/resource/2533c4c5-b5cb-43f1-90f3-85d553de2421</describedBy><modified>2017-07-12</modified><identifier>1537145b-1435-4c8a-b1e3-f82c8d6b050b</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jlshultz@latech.edu</emailAddress><fn>Shultz, Jeff</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/AllSupplementalFiles.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Data%20Dictionary%20-%20BMC%20Genomics%20P.%20pachyrhizi%20Supplemental%20Data.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Brachypodium Resources</title><description>The Brachypodium Resource site focuses on research efforts located at the ARS GGD research site toward developing the plant Brachypodium distachyon as a model system to study plant genes for cereals species.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P3M</accrualPeriodicity><issued>2007-04-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>n/a</spatial><identifier>USDA-ARS-00022</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gerard.lazo@ars.usda.gov</emailAddress><fn>Gerard R. Lazo</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://wheat.pw.usda.gov</references><distribution><downloadURL>http://brachypodium.pw.usda.gov/</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Brachypodium Resources</title><description>&lt;p&gt;The Brachypodium Resource site focuses on research efforts located at the ARS GGD research site toward developing the plant Brachypodium distachyon as a model system to study plant genes for cereals species.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2018-01-02</modified><identifier>USDA-ARS-00022</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gerard.lazo@ars.usda.gov</emailAddress><fn>Lazo, Gerard R.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>https://wheat.pw.usda.gov</references><distribution><downloadURL>https://brachypodium.pw.usda.gov/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Cacao Genome Database</title><description>&lt;p&gt;Not only is cacao the basic ingredient in the world’s favorite confection, chocolate, but it provides a livelihood for over 6.5 million farmers in Africa, South America and Asia and ranks as one of the top ten agriculture commodities in the world. Historically, cocoa production has been plagued by serious losses due to pests and diseases. The release of the cacao genome sequence will provide researchers with access to the latest genomic tools, enabling more efficient research and accelerating the breeding process, thereby expediting the release of superior cacao cultivars. The sequenced genotype, Matina 1-6, is representative of the genetic background most commonly found in the cacao producing countries, enabling results to be applied immediately and broadly to current commercial cultivars.  Matina 1-6 is highly homozygous which greatly reduces the complexity of the sequence assembly process. While the sequence provided is a preliminary release, it already covers 92% of the genome, with approximately 35,000 genes. We will continue to refine the assembly and annotation, working toward a complete finished sequence. Updates will be made available via the main project website.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-21</modified><identifier>035e14e3-e69c-4e9f-a734-2247b19d6cd6</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>osman.gutierrez@ars.usda.gov</emailAddress><fn>Gutierrez, Osman</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://www.cacaogenomedb.org/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Cassavabase</title><description>In addition to cassava phenotypic and genotypic data Cassavabase also offers access to all Genomic Selection analysis tools and phenotyping tools developed by the NEXTGEN Cassava project, as well as links to auxiliary genome browser, ontology tools and social networking tools for the cassava community. Cassavabase aims to provide a "one-stop shop" for cassava researchers and breeders worldwide.</description><accessLevel>public</accessLevel><accrualPeriodicity>irregular</accrualPeriodicity><issued>2013-04-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><identifier>USDA-ARS-00006</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>hat36@cornell.edu</emailAddress><fn>Hale Tufan</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><distribution><downloadURL>http://www.cassavabase.org</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Cassavabase</title><description>&lt;p&gt;The Next Generation Cassava Breeding (NEXTGEN Cassava) project aims to significantly increase the rate of genetic improvement in cassava breeding and unlock the full potential of cassava, a staple crop central to food security and livelihoods across Africa. The project will implement and empirically test a new breeding method known as Genomic Selection that relies on statistical modeling to predict cassava performance before field-testing, and dramatically accelerates the breeding cycle.&lt;/p&gt;
&lt;p&gt;NEXTGEN Cassava will invest in human and infrastructure capacity at partner breeding programs; develop methods to increase flowering and seed set in cassava; create a database (&lt;a href="http://www.cassavabase.org"&gt;www.cassavabase.org&lt;/a&gt;) centralizing information tracking, genotypic and phenotypic data, and Genomic Selection prediction analyses; enhance cassava germplasm exchange between Latin American and Africa; and support the establishment of a biotechnology/biosafety outreach and training hub at the National Crops Resources Research Institute (NaCRRI) in Uganda.&lt;/p&gt;
&lt;p&gt;NextGen is led by International Programs in the College of Agriculture and Life Sciences at Cornell University, in collaboration with the International Institute of Tropical Agriculture and National Root Crops Research Institute breeding centers in Nigeria, the National Crops Resources Research Institute in Uganda, Tanzania’s Ministry of Agriculture, Livestock, and Fisheries, the West African Centre for Crop Improvement in Ghana, Makerere University in Uganda, and the Boyce Thompson Institute, USDA-ARS, and the U.S. Department of Energy in the United States. NEXTGEN Cassava is supported by the Bill &amp;amp; Melinda Gates Foundation and the UK Department for International Development.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-11-08</modified><identifier>50fd0223-17b3-4436-9e85-9af18dfe06a8</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>hat36@cornell.edu</emailAddress><fn>Tufan, Hale</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.cassavabase.org/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Cattle and Sheep Whole Genome Sequence (WGS)</title><description>&lt;p&gt;Cattle and Sheep Whole Genome Sequence (WGS)&lt;/p&gt;
&lt;p&gt;USMARC Beef Cattle Diversity Panel (MBCDPv2.9)&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Finished 14x WGS of 96 sires from 19 beef breeds representing &amp;gt;99% of the germplasm used in the US beef industry Article for cattle producers&lt;/li&gt;
&lt;li&gt;USMARC Extended Cattle Diversity Panel (MECDPv1.0)&lt;/li&gt;
&lt;li&gt;Ongoing 10x WGS from 46 breeds, includes MBCDPv2.9 sires plus four animals from each of 27 additional breeds&lt;/li&gt;
&lt;li&gt;USMARC Sheep Diversity Panel (MSDPv2.4)&lt;/li&gt;
&lt;li&gt;Finished 16x WGS of 96 rams from 10 US sheep breeds representing diversity in traits like fertility, growth, and longevity.&lt;/li&gt;
&lt;li&gt;USMARC Extended Sheep Diversity Panel (MESDPv1.0)&lt;/li&gt;
&lt;li&gt;Ongoing 10x WGS from 15 breeds, includes MSDPv2.4 rams plus 10 animals from each of 5 additional breeds&lt;/li&gt;
&lt;li&gt;Related species (mapped to cattle and/or sheep)&lt;/li&gt;
&lt;li&gt;Ongoing 10x WGS from related species like gaur, bison, banteng, and yak.&lt;/li&gt;
&lt;li&gt;Livestock Cell Lines (mapped to cattle and/or sheep)&lt;/li&gt;
&lt;li&gt;Ongoing 10x WGS from cell lines used in USMARC research like Madin-Darby Bovine Kidney (MDBK) cells.&lt;/li&gt;
&lt;/ul&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-21</modified><identifier>4085e4f6-45e8-4706-9f8c-710f86ded1c7</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gary.bennett@ars.usda.gov</emailAddress><fn>Bennett, Gary L. </fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.ars.usda.gov/plains-area/clay-center-ne/marc/wgs/main/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Code from: Fast and robust curve skeletonization for real-world elongated objects</title><description>&lt;p&gt;This record contains code for performing curve skeletonization of objects, which have a voxel representation. Curve skeletonization is used to convert a three-dimensional digital object or shape to locally one-dimensional parts; in other words, to reduce the shape information to a more easily processed form. Our algorithm does so for objects whose surface may be noisy, which is a common occurrence when working with data acquired under real-world conditions. This record also includes a test dataset for verifying that the code is running correctly and as examples of how to convert from different file types. This code is a companion to the paper, “Fast and robust curve skeletonization for real-world elongated objects,” by Amy Tabb and Henry Medeiros.&lt;/p&gt;
&lt;p&gt;Open source code can be found at:&lt;br /&gt;
&lt;a href="https://github.com/amy-tabb/CurveSkel-Tabb-Medeiros"&gt;https://github.com/amy-tabb/CurveSkel-Tabb-Medeiros&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;We also include the results of using our code on one of the examples so that you can be sure that the code worked correctly. This folder is named 'A_Result' and can be found in the resource titled 'examples.zip'. A README is included in this record as well as in the examples folder.&lt;/p&gt;
&lt;p&gt;Problems/Comments/Bugs should be addressed to &lt;a href="mailto:amy.tabb@ars.usda.gov"&gt;amy.tabb@ars.usda.gov&lt;/a&gt;&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2018-01-03</modified><identifier>6d2a1542-f318-4be8-8fa4-d07c6fbcde49</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>amy.tabb@ars.usda.gov</emailAddress><fn>Tabb, Amy</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/examples.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/README_2017.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://github.com/amy-tabb/CurveSkel-Tabb-Medeiros</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Composition of Foods Raw, Processed, Prepared USDA National Nutrient Database for Standard Reference, Release 27 </title><description>&lt;p&gt;The database consists of several sets of data: food descriptions, nutrients, weights and measures, footnotes, and sources of data. The Nutrient Data file contains mean nutrient values per 100 g of the edible portion of food, along with fields to further describe the mean value. Information is provided on household measures for food items. Weights are given for edible material without refuse. Footnotes are provided for a few items where information about food description, weights and measures, or nutrient values could not be accommodated in existing fields.&lt;/p&gt;
&lt;p&gt;Data have been compiled from published and unpublished sources. Published data sources include the scientific literature. Unpublished data include those obtained from the food industry, other government agencies, and research conducted under contracts initiated by USDA’s Agricultural Research Service (ARS).&lt;/p&gt;
&lt;p&gt;Updated data have been published electronically on the USDA Nutrient Data Laboratory (NDL) web site since 1992. Standard Reference (SR) 27 includes composition data for all the food groups and nutrients published in the 21 volumes of “Agriculture Handbook 8” (US Department of Agriculture 1976-92), and its four supplements (US Department of Agriculture 1990-93), which superseded the 1963 edition (Watt and Merrill, 1963). SR27 supersedes all previous releases, including the printed versions, in the event of any differences.&lt;/p&gt;
&lt;p&gt;Attribution for photos:&lt;a href="http://www.ars.usda.gov/is/graphics/photos/k7246-9.htm"&gt;Photo 1: k7246-9&lt;/a&gt; Copyright free, public domain photo by Scott Bauer&lt;a href="http://www.ars.usda.gov/is/graphics/photos/oct98/k8234-2.htm"&gt;Photo 2: k8234-2&lt;/a&gt; Copyright free, public domain photo by Scott Bauer&lt;/p&gt;
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https://data.nal.usda.gov/dataset/what-we-eat-america-wweia-database</references><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/sr27_doc.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/sr27asc.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/sr27db.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/sr27abbr.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/sr27abxl.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/sr27upd.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ars.usda.gov/Services/docs.htm?docid=8964</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/CompositionOfFoods_DataDictionary.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/SR_27_DD.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Composition of Foods Raw, Processed, Prepared USDA National Nutrient Database for Standard Reference, Release 28</title><description>&lt;p&gt;The database consists of several sets of data: food descriptions, nutrients, weights and measures, footnotes, and sources of data. The Nutrient Data file contains mean nutrient values per 100 g of the edible portion of food, along with fields to further describe the mean value. Information is provided on household measures for food items. Weights are given for edible material without refuse. Footnotes are provided for a few items where information about food description, weights and measures, or nutrient values could not be accommodated in existing fields.&lt;/p&gt;
&lt;p&gt;Data have been compiled from published and unpublished sources. Published data sources include the scientific literature. Unpublished data include those obtained from the food industry, other government agencies, and research conducted under contracts initiated by USDA’s Agricultural Research Service (ARS).&lt;/p&gt;
&lt;p&gt;Updated data have been published electronically on the USDA Nutrient Data Laboratory (NDL) web site since 1992. Standard Reference (SR) 28 includes composition data for all the food groups and nutrients published in the 21 volumes of “Agriculture Handbook 8” (US Department of Agriculture 1976-92), and its four supplements (US Department of Agriculture 1990-93), which superseded the 1963 edition (Watt and Merrill, 1963). SR28 supersedes all previous releases, including the printed versions, in the event of any differences.&lt;/p&gt;
&lt;p&gt;Attribution for photos:&lt;a href="http://www.ars.usda.gov/is/graphics/photos/k7246-9.htm"&gt;Photo 1: k7246-9&lt;/a&gt; Copyright free, public domain photo by Scott Bauer&lt;a href="http://www.ars.usda.gov/is/graphics/photos/oct98/k8234-2.htm"&gt;Photo 2: k8234-2&lt;/a&gt; Copyright free, public domain photo by Scott Bauer&lt;/p&gt;
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https://data.nal.usda.gov/dataset/what-we-eat-america-wweia-database</references><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/sr28_doc.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ars.usda.gov/Services/docs.htm?docid=8964</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/sr28abbr.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/sr28db.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/sr28asc.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/sr28abxl.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/sr28upd.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://ndb.nal.usda.gov/ndb/doc/index</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Cool Season Food Legume Crop Database Resources</title><description>&lt;p&gt;Genomic, Genetic and Breeding Resources for Pea, Lentil, Chickpea and Faba Bean Crop Improvement. The database contains genes, genomes, germplasm, maps, markers, QTL/MTL, species information, and transcripts. The Cool Season Food Legume Crop Database (CSFL) is being developed by the Main Bioinformatics Laboratory at Washington State University in collaboration with the ARS USDA Grain Legume Genetics and Physiology Research Unit, the ARS USDA Plant Germplasm Introduction and Testing Unit, the USA Dry Pea and Lentil Council, Northern Pulse Growers and allied scientists in the US and across the world, to serve as a resource for Genomics-Assisted Breeding (GAB). GAB offers tools to identify genes related to traits of interest among other methods to optimize plant breeding efficiency and research, by providing relevant genomic, genetic and breeding information and analysis. Therefore, tools such as JBrowse and CMap can be found in this database, as well as key resources to provide the access to the annotation of available transcriptome data, helping cool season food legume breeders and researchers to succeed in their programs.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-21</modified><identifier>5bf95cc9-faba-450d-9984-f565e9e217eb</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>dorrie@wsu.edu</emailAddress><fn>Main, Dorrie</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.coolseasonfoodlegume.org/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Cooperative Oat Research Enterprise</title><description>This is part of the CORE project efforts to further develop tools for oat research through the development of oat SNP panels and Identification of loci affecting key traits in North American germplasm. Project activities are reported here.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P3M</accrualPeriodicity><issued>2009-04-28</issued><landingPage>http://wheat.pw.usda.gov</landingPage><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>n/a</spatial><identifier>USDA-ARS-00023</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gerard.lazo@ars.usda.gov</emailAddress><fn>Gerard R. Lazo</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://wheat.pw.usda.gov</references><distribution><downloadURL>http://avena.pw.usda.gov/CORE</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Cooperative Oat Research Enterprise</title><description>&lt;p&gt;This is part of the CORE project efforts to further develop tools for oat research through the development of oat SNP panels and Identification of loci affecting key traits in North American germplasm. Project activities are reported here.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2018-01-02</modified><identifier>USDA-ARS-00023</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gerard.lazo@ars.usda.gov</emailAddress><fn>Lazo, Gerard R.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>https://wheat.pw.usda.gov</references><distribution><downloadURL>https://avena.pw.usda.gov/CORE</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Copy (2) Southwest Watershed Research Center Online Data Access</title><description>Hydrologic data, primarily precipitation and runoff, have been collected on experimental watersheds operated by the U.S. Department of Agriculture Agricultural Research Service (USDA-ARS) and on other lands in southeastern Arizona since the 1950s. These data are of national and international importance and make up one of the most comprehensive semiarid watershed data sets in the world. The USDA-ARS Southwest Watershed Research Center has recently developed an electronic data processing system that includes an online interface (http://tucson.ars.ag.gov/dap) to provide public access to the data. The goal of the system is to promote analyses and interpretations of historic and current data by improving data access. The publicly accessible part of the system consists of an interactive Web site, which provides an interface to the data, and a relational database, which is used to process, store, and manage data. In addition, DAP was expanded to put sediment, meteorological, soil moisture and temperature, vegetation, CO2 and water flux, geographic information system (GIS) and aircraft and satellite spectral imagery data on line and to publish metadata for all WGEW long-term measurements.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><issued>2003-10-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>Southeastern Arizona, Pima County, Cochise County, Santa Cruz County, San Pedro River Basin</spatial><temporal>1953-08-18/2013-04-09</temporal><identifier>USDA-ARS-00013</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jason.wong@ars.usda.gov</emailAddress><fn>Jason Wong</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><distribution><downloadURL>http://www.tucson.ars.ag.gov/dap/Files/WGEW%20Soil%20Survey.pdf</downloadURL><mediaType>application/pdf</mediaType><title>PDF File</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Copy (2) Southwest Watershed Research Center Online Data Access</title><description>&lt;p&gt;Hydrologic data, primarily precipitation and runoff, have been collected on experimental watersheds operated by the U.S. Department of Agriculture Agricultural Research Service (USDA-ARS) and on other lands in southeastern Arizona since the 1950s. These data are of national and international importance and make up one of the most comprehensive semiarid watershed data sets in the world. The USDA-ARS Southwest Watershed Research Center has recently developed an electronic data processing system that includes an online interface (&lt;a href="https://tucson.ars.ag.gov/dap"&gt;https://tucson.ars.ag.gov/dap&lt;/a&gt;) to provide public access to the data. The goal of the system is to promote analyses and interpretations of historic and current data by improving data access. The publicly accessible part of the system consists of an interactive Web site, which provides an interface to the data, and a relational database, which is used to process, store, and manage data. In addition, DAP was expanded to put sediment, meteorological, soil moisture and temperature, vegetation, CO2 and water flux, geographic information system (GIS) and aircraft and satellite spectral imagery data on line and to publish metadata for all WGEW long-term measurements.&lt;/p&gt;
</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><modified>2018-01-02</modified><identifier>USDA-ARS-00013</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jason.wong@ars.usda.gov</emailAddress><fn>Wong, Jason</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><distribution><downloadURL>https://www.tucson.ars.ag.gov/dap/Files/WGEW%20Soil%20Survey.pdf</downloadURL><format>pdf</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Copy (3) Southwest Watershed Research Center Online Data Access</title><description>Hydrologic data, primarily precipitation and runoff, have been collected on experimental watersheds operated by the U.S. Department of Agriculture Agricultural Research Service (USDA-ARS) and on other lands in southeastern Arizona since the 1950s. These data are of national and international importance and make up one of the most comprehensive semiarid watershed data sets in the world. The USDA-ARS Southwest Watershed Research Center has recently developed an electronic data processing system that includes an online interface (http://tucson.ars.ag.gov/dap) to provide public access to the data. The goal of the system is to promote analyses and interpretations of historic and current data by improving data access. The publicly accessible part of the system consists of an interactive Web site, which provides an interface to the data, and a relational database, which is used to process, store, and manage data. In addition, DAP was expanded to put sediment, meteorological, soil moisture and temperature, vegetation, CO2 and water flux, geographic information system (GIS) and aircraft and satellite spectral imagery data on line and to publish metadata for all WGEW long-term measurements.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><issued>2003-10-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>Southeastern Arizona, Pima County, Cochise County, Santa Cruz County, San Pedro River Basin</spatial><temporal>1953-08-18/2013-04-09</temporal><identifier>USDA-ARS-00016</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jason.wong@ars.usda.gov</emailAddress><fn>Jason Wong</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><distribution><downloadURL>http://www.tucson.ars.ag.gov/dap/Files/WGEWsoils.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Copy (3) Southwest Watershed Research Center Online Data Access</title><description>&lt;p&gt;Hydrologic data, primarily precipitation and runoff, have been collected on experimental watersheds operated by the U.S. Department of Agriculture Agricultural Research Service (USDA-ARS) and on other lands in southeastern Arizona since the 1950s. These data are of national and international importance and make up one of the most comprehensive semiarid watershed data sets in the world. The USDA-ARS Southwest Watershed Research Center has recently developed an electronic data processing system that includes an online interface (&lt;a href="https://tucson.ars.ag.gov/dap"&gt;https://tucson.ars.ag.gov/dap&lt;/a&gt;) to provide public access to the data. The goal of the system is to promote analyses and interpretations of historic and current data by improving data access. The publicly accessible part of the system consists of an interactive Web site, which provides an interface to the data, and a relational database, which is used to process, store, and manage data. In addition, DAP was expanded to put sediment, meteorological, soil moisture and temperature, vegetation, CO2 and water flux, geographic information system (GIS) and aircraft and satellite spectral imagery data on line and to publish metadata for all WGEW long-term measurements.&lt;/p&gt;
</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><modified>2018-01-02</modified><identifier>USDA-ARS-00016</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jason.wong@ars.usda.gov</emailAddress><fn>Wong, Jason</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><distribution><downloadURL>https://www.tucson.ars.ag.gov/dap/Files/WGEWsoils.xls</downloadURL><format>xls</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Cover Crop Chart (version 2.0): Helping producers choose cover crops in crop and forage production systems</title><description>&lt;p&gt;The Cover Crop Chart (v. 2.0) is designed to assist producers with decisions on the use of cover crops in crop and forage production systems. The chart, patterned after the periodic table of elements, includes information on 58 crop species that may be planted individually or in cocktail mixtures. Information on growth cycle, relative water use, plant architecture, seeding depth, forage quality, pollination characteristics, and nutrient cycling are included for most crop species.&lt;/p&gt;
&lt;p&gt;The Cover Crop Chart is easy to use, requiring only Adobe Acrobat software. Using the chart as a guide, users can select individual crop species by clicking on the name which will direct them to additional information about the selected crop. Icons within each crop page return the user to the chart, thereby easily allowing comparisons of different crops.&lt;/p&gt;
&lt;p&gt;The Cover Crop Chart represents a compendium of information from multiple sources throughout the U.S. and Canada, and is not based on research conducted at the USDA-ARS Northern Great Plains Research Laboratory (NGPRL). Primary sources of information included the Midwest Cover Crops Council, USDA - Sustainable Agriculture Research &amp;amp; Education (SARE), USDA - Natural Resources Conservation Service (NRCS) PLANTS Database, relevant peer-reviewed journal articles, and the 3rd edition of *Managing Cover Crops Profitably* (Andy Clark, Editor).&lt;/p&gt;
&lt;p&gt;Information on specific crops is occasionally generalized and/or approximate to accommodate wide variation in geographic/agronomic conditions, and therefore may not reflect performance in on-farm conditions. Accordingly, USDA - Agricultural Research Service (ARS) makes no guarantee to the performance of specific crops based on information provided within the Cover Crop Chart.&lt;/p&gt;
&lt;p&gt;The Cover Crop Chart is produced and distributed by the staff of the USDA-ARS NGPRL, Mandan, ND. Mark Liebig and Holly Johnson contributed to the design and content of the chart with input from NGPRL staff and producers and technicians from the Area IV Soil Conservation Districts of North Dakota and NRCS staff at the Bismarck and Dickinson Field/Area Offices.&lt;/p&gt;
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World</title><description>&lt;p&gt;The Cryptocephalinae of the World (&lt;a href="http://camptosomata.myspecies.info/"&gt;http://camptosomata.myspecies.info/&lt;/a&gt;) serves to maintain images, updated classification, and bibliography of cryptocephaline leaf beetles. Currently, focus is largely on &lt;em&gt;Stegnocephala&lt;/em&gt;, New World &lt;em&gt;Cryptocephalus&lt;/em&gt;, and Fulcidacini; however, with time and continued collaboration we hope to build upon this work. Images are based almost exclusively on type specimens, but authoritatively identified material is also included. The identity of most species herein is finally confirmed after almost 150 years since their original description. This dataset was funded by an Encyclopedia of Life Postdoctoral Fellowship awarded to the author.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-10-02</modified><identifier>9684d100-c553-4589-9107-aff09bc4fb37</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>lourdes.chamorro@ars.usda.gov</emailAddress><fn>Chamorro, M.L.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://camptosomata.myspecies.info/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Current and projected research data storage needs of Agricultural Research Service researchers in 2016</title><description>&lt;p&gt;The USDA Agricultural Research Service (ARS) recently established &lt;a href="https://axon.ars.usda.gov/Science%20Links/Pages/Big-Data.aspx"&gt;SCINet&lt;/a&gt; , which consists of a shared high performance computing resource, Ceres, and the dedicated high-speed Internet2 network used to access Ceres. Current and potential SCINet users are using and generating very large datasets so SCINet needs to be provisioned with adequate data storage for their active computing. It is not designed to hold data beyond active research phases. At the same time, the National Agricultural Library has been developing the Ag Data Commons, a research data catalog and repository designed for public data release and professional data curation. Ag Data Commons needs to anticipate the size and nature of data it will be tasked with handling.&lt;/p&gt;
&lt;p&gt;The ARS Web-enabled Databases Working Group, organized under the SCINet initiative, conducted a study to establish baseline data storage needs and practices, and to make projections that could inform future infrastructure design, purchases, and policies. The SCINet Web-enabled Databases Working Group helped develop the survey which is the basis for an internal report. While the report was for internal use, the survey and resulting data may be generally useful and are being released publicly.&lt;/p&gt;
&lt;p&gt;From October 24 to November 8, 2016 we administered a 17-question survey (Appendix A) by emailing a Survey Monkey link to all ARS Research Leaders, intending to cover data storage needs of all 1,675 SY (Category 1 and Category 4) scientists. We designed the survey to accommodate either individual researcher responses or group responses. Research Leaders could decide, based on their unit's practices or their management preferences, whether to delegate response to a data management expert in their unit, to all members of their unit, or to themselves collate responses from their unit before reporting in the survey.&lt;/p&gt;
&lt;p&gt;Larger storage ranges cover vastly different amounts of data so the implications here could be significant depending on whether the true amount is at the lower or higher end of the range. Therefore, we requested more detail from "Big Data users," those 47 respondents who indicated they had more than 10 to 100 TB or over 100 TB total current data (Q5). All other respondents are called "Small Data users." Because not all of these follow-up requests were successful, we used actual follow-up responses to estimate likely responses for those who did not respond.&lt;/p&gt;
&lt;p&gt;We defined active data as data that would be used within the next six months. All other data would be considered inactive, or archival.&lt;/p&gt;
&lt;p&gt;To calculate per person storage needs we used the high end of the reported range divided by 1 for an individual response, or by G, the number of individuals in a group response. For Big Data users we used the actual reported values or estimated likely values.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-15</modified><identifier>88482aa1-9369-4b36-a6dd-a6f6b3b24306</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>cynthia.parr@ars.usda.gov</emailAddress><fn>Parr, Cynthia</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Appendix%20A.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Data%20Storage%20Survey%20Data%20for%20public%20release_1.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Machine-readable%20survey%20response%20data.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>DAILY RESEARCH NEWS</title><description>This feed provides readers with abstracts of published articles.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/PT1S</accrualPeriodicity><issued>2004-12-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States of America</spatial><identifier>USDA-ARS-00004</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>tara.weavermissick@ars.usda.gov</emailAddress><fn>Tara Weaver Missick</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://www.ars.usda.gov/News/docs.htm?docid=6697</references><distribution><downloadURL>http://ars.usda.gov/news/rss/rss.htm#</downloadURL><mediaType>application/rss+xml</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Dairy Gas Emissions Model (DairyGEM)</title><description>&lt;p&gt;The Dairy Gas Emissions Model (DairyGEM) uses process level simulation and process related emission factors to predict ammonia, hydrogen sulfide, VOC and greenhouse gas emissions along with the carbon, energy and water footprints of dairy production systems. A process-based simulation is used to predict ammonia, hydrogen sulfide, and VOC emissions as influenced by climate and farm management. Net carbon dioxide, methane, and nitrous oxide emissions are also estimated using process simulation or process related emission factors. Environmental footprints are determined that include both primary and secondary sources. Primary sources occur during the farm production process and secondary sources are those occurring during the production of resources used including machinery, fuel, electricity, fertilizer, pesticides, and plastic.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-29</modified><identifier>057a23fa-9e1c-400d-b7e7-6cbbc6431672</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>al.rotz@ars.usda.gov</emailAddress><fn>Rotz, C. Alan</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.ars.usda.gov/ARSUserFiles/80700500/DairyGEMReferenceManual.pdf</downloadURL><format>pdf</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ars.usda.gov/northeast-area/up-pa/pswmru/docs/dairy-gas-emissions-model/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data From: Weather, Snow, and Streamflow data from four western juniper-dominated Experimental Catchments in south western Idaho, USA.</title><description>&lt;p&gt;Weather, snow, stream, topographic, and vegetation data are presented from the South Mountain Experimental Catchments from water years 2007-2013 (10-1-2007 to 9-30-2013). The data provide detailed information on the weather and hydrologic response for four highly instrumented catchments in the late stages of woodland encroachment. Hourly data from six meteorologic stations and four weirs have been carefully processed and quality checked, are serially complete, and ideal for hydrologic, ecosystem, and biogeochemical modeling. Topographic and vegetation data, as well as stream and drainage area delineations are Lidar-derived. This study site was established in 2007 as a collaborative, long-term research laboratory to address the impacts of western juniper (&lt;em&gt;Juniperus occidentalis&lt;/em&gt; Hook) encroachment and treatments in the interior Great Basin region of the western USA.&lt;/p&gt;
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42.660460730975, -116.90336438371 42.660460628111, -116.90336436976 42.660469633725, -116.90327895789 42.660469561643))</spatial><identifier>c7119f83-0bc7-4a61-9df0-14c68155c124</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>noemailprovided@usa.gov</emailAddress><fn>Kormos, Patrick R. or Marks, Danny G.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/air_temp_final.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/readme_3.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/dewpoint_final.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/incoming_solar_final.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/precipitation_final.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/relative_humidity_final.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/snow_depth_final.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/vapor_pressure.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/wind_speed_final.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/snow_course_final.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/station_coords_0.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/air_temp_raw.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/incoming_solar_raw.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/precipitation_raw.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/relative_humidity_raw.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/snow_course_raw.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/snow_depth_raw.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/wind_dir_raw.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/wind_speed_raw.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/catchment_boundaries.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/weather_stations.zip</downloadURL><format>shp</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/weirs.zip</downloadURL><format>shp</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/bare_earth_dem.zip</downloadURL><format>ascii</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/maximum_veg_ht_10m.zip</downloadURL><format>ascii</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/bare_earth_dem_1m.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/maximum_veg_ht_1m.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/mean_veg_ht_1m.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/stream_discharge_final_0.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: The reference transcriptome of the adult female biting midge (Culicoides sonorensis) and differential gene expression profiling during teneral, blood, and sucrose feeding conditions</title><description>&lt;p&gt;Deep sequencing technologies were used to construct the first adult female Culicoides sonorensis reference transcriptome.&lt;/p&gt;
&lt;p&gt;Genetic and genomic tools for Culicoides biting midges are lacking, despite the fact that they vector a large number of arboviruses and other pathogens impacting humans and domestic animals world-wide. Libraries of tissue-specific transcripts expressed in response to feeding and oral virus challenge in C. sonorensis have previously been reported, but extensive genome-wide expression profiling in the midge has not. Here, we successfully used deep sequencing technologies to construct the first adult female C. sonorensis reference transcriptome, and utilized genome-wide expression profiling to elucidate the genetic response to blood and sucrose feeding over time. The adult female midge unigene consists of 19,041 genes, of which less than 7% are differentially expressed during the course of a sucrose meal, while up to 52% of the genes respond significantly in blood-fed midges, indicating hematophagy induces complex physiological processes. Many genes that were differentially expressed during blood feeding were associated with digestion (e.g. proteases, lipases), hematophagy (e.g., salivary proteins), and vitellogenesis, revealing many major metabolic and biological factors underlying these critical processes. Additionally, key genes in the vitellogenesis pathway were identified, which provides the first glimpse into the molecular basis of anautogeny for C. sonorensis. This is the first extensive transcriptome for this genus, which will serve as a framework for future expression studies and in informing a reference genome assembly and annotation. Moreover, this study will serve as a foundation for subsequent studies of genome-wide expression analyses during early virus infection and dissecting the molecular mechanisms behind vector competence in midges.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/data-reference-transcriptome-adult-female-biting-midge-culicoides-sonorensis-and-2</describedBy><modified>2017-11-17</modified><identifier>ed4ebd15-19bb-426f-a4f8-723f83be1dbd</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>saski@clemson.edu</emailAddress><fn>Saski, Christopher A.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://data.nal.usda.gov/dataset/annotated-reference-transcriptome-female-culicoides-sonorensis-biting-midges</references><distribution><downloadURL>https://www.ncbi.nlm.nih.gov/bioproject?LinkName=nuccore_bioproject&amp;from_uid=590144932</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.journals.plos.org/plosone/article/asset?unique&amp;id=info:doi/10.1371/journal.pone.0098123.s003</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/CulicoidesReferenceTranscriptome_DataDictionary.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: A Community Resource for Exploring and Utilizing Genetic Diversity in the USDA Pea Single Plant Plus Collection</title><description>&lt;p&gt;Included in this dataset are SNP and fasta data for the Pea Single Plant Plus Collection (PSPPC) and the PSPPC augmented with 25 P. fulvum accessions.&lt;/p&gt;
&lt;p&gt;These 6 datasets can be roughly divided into two groups. Group 1 consists of three datasets labeled PSPPC which refer to SNP data pertaining to the USDA Pea Single Plant Plus Collection. Group 2 consists of three datasets labeled PSPPC + P. fulvum which refer to SNP data pertaining to the USDA PSPPC with 25 accessions of Pisum fulvum added. SNPs for each of these groups were called independently; therefore SNP names that are shared between the PSPPC and PSPPC + P. fulvum groups should NOT be assumed to refer to the same locus.&lt;/p&gt;
&lt;p&gt;For analysis, SNP data is available in two widely used formats: hapmap and vcf. These formats can be successfully loaded into TASSEL v. 5.2.25 (&lt;a href="http://www.maizegenetics.net/tassel"&gt;http://www.maizegenetics.net/tassel&lt;/a&gt;). Explanations of fields (columns) in the VCF files are contained within commented (##) rows at the top of the file.&lt;/p&gt;
&lt;p&gt;Descriptions of the first 11 columns in the hapmap file are as follows:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;rs#- Name of locus (i.e. SNP name)&lt;/li&gt;
&lt;li&gt;alleles- Indicates the SNPs for each allele at the locus&lt;/li&gt;
&lt;li&gt;chrom- Irrelevant for these datasets, since markers are unordered.&lt;/li&gt;
&lt;li&gt;pos- Irrelevant for these datasets, since markers are unordered.&lt;/li&gt;
&lt;li&gt;strand- Irrelevant for these datasets, since markers are unordered&lt;/li&gt;
&lt;li&gt;assembly#- required field for hapmap format. NA for these datasets&lt;/li&gt;
&lt;li&gt;center- required field for hapmap format. NA for these datasets&lt;/li&gt;
&lt;li&gt;protLSID- required field for hapmap format. NA for these datasets&lt;/li&gt;
&lt;li&gt;assayLSID- required field for hapmap format. NA for these datasets&lt;/li&gt;
&lt;li&gt;panel- required field for hapmap format. NA for these datasets&lt;/li&gt;
&lt;li&gt;QCcode- required field for hapmap format. NA for these datasets&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The fasta sequences containing the SNPs are also available for such downstream applications as development of primers for platform-specific markers.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/data-community-resource-exploring-and-utilizing-genetic-diversity-usda-pea-single-plant-6</describedBy><modified>2017-12-11</modified><identifier>b99c7cf3-a7c2-46c1-b02f-4f0d4ea60ffd</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Clarice.Coyne@ars.usda.gov</emailAddress><fn>Coyne, Clarice</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/PSPPC.hmp_.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/PSPPC.vcf__0.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/PSPPC.fa_.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/PSPPC%2Bfulvums.vcf__0.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/PSPPC%2Bfulvums.hmp_.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/PSPPC%2Bfulvums.fa_.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Data%20Dictionary.docx</downloadURL><format>docx</format><mediaType>application/vnd.openxmlformats-officedocument.wordprocessingml.document</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: A field-scale sensor network data set for monitoring and modeling the spatial and temporal variation of soil moisture in a dryland agricultural field</title><description>&lt;p&gt;Automated in situ soil sensor network - the data set includes hourly and daily measurements of volumetric water content, soil temperature, and bulk electrical conductivity, collected at 42 monitoring locations and 5 depths (30, 60, 90, 120, and 150 cm) across Cook Agronomy Farm. Data collection was initiated in April 2007 and is ongoing.&lt;/p&gt;
&lt;p&gt;Description of data&lt;/p&gt;
&lt;h3&gt;Tabular data&lt;/h3&gt;
&lt;p&gt;&lt;strong&gt;CAF_sensors&lt;/strong&gt;: folder with Daily and Hourly subfolders, each containing 42 '.txt' files of water content and temperature sensor readings.&lt;br /&gt;
Each file represents readings from a single location, indicated in the file name (i.e. CAF003.txt) and in the 'Location' field of the table.&lt;br /&gt;
Readings are organized by 'Date' (4/20/2007 - 6/16/2016), ‘Time’ (24 hr clock, only in hourly files), and with property (VW or T) and sensor 'Depth' as follows:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;VW_30cm: volumetric water readings at 30 cm depth (m^3/m^3)&lt;/li&gt;
&lt;li&gt;VW_60cm: volumetric water readings at 60 cm depth (m^3/m^3)&lt;/li&gt;
&lt;li&gt;VW_90cm: volumetric water readings at 90 cm depth (m^3/m^3)&lt;/li&gt;
&lt;li&gt;VW_120cm: volumetric water readings at 120 cm depth (m^3/m^3)&lt;/li&gt;
&lt;li&gt;VW_150cm: volumetric water readings at 150 cm depth (m^3/m^3)&lt;/li&gt;
&lt;li&gt;T_30cm: temperature readings at 30 cm depth (C)&lt;/li&gt;
&lt;li&gt;T_60cm: temperature readings at 60 cm depth (C)&lt;/li&gt;
&lt;li&gt;T_90cm: temperature readings at 90 cm depth (C)&lt;/li&gt;
&lt;li&gt;T_120cm: temperature readings at 120 cm depth (C)&lt;/li&gt;
&lt;li&gt;T_150cm: temperature readings at 150 cm depth (C)&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Volumetric water content readings are calibrated according to:&lt;br /&gt;
&lt;em&gt;Gasch, CK, DJ Brown, ES Brooks, M Yourek, M Poggio, DR Cobos, CS Campbell. 2017. A pragmatic, automated approach for retroactive calibration&lt;br /&gt;
of soil moisture sensors using a two-step, soil specific correction. Computers and Electronics in Agriculture, 137: 29-40.&lt;br /&gt;
Temperature readings are factory calibrated.&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;CAF_BulkDensity.txt&lt;/strong&gt;: file containing bulk density values ('BulkDensity' in g/cm^3) for sensor depths at each of the 42 instrumented&lt;br /&gt;
locations at Cook Farm. Location is indicated in 'Location' field, and sample depths are defined (in cm) by the ’Depth’ field.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;CAF_CropID.txt&lt;/strong&gt;: file containing crop codes for each sub-field (A, B and C) and strip (1-6 for A and B, 1-8 for C) at Cook Farm for 2007-2016.&lt;br /&gt;
This is also part of the attribute table for 'CAF_strips.shp'&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;CAF_CropCodes.txt&lt;/strong&gt;: file containing crop code names and crop identities, used in 'CAF_CropID.txt' and 'CAF_strips.shp'&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;CAF_ParticleSize.txt&lt;/strong&gt;: file containing particle size fractions ('Sand', 'Silt', and 'Clay' as percent) for each 'Location' at sensor depths&lt;br /&gt;
('Depth', in cm).&lt;/p&gt;
&lt;h3&gt;Spatial data&lt;/h3&gt;
&lt;p&gt;All spatial data have spatial reference NAD83, UTM11N&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;CAF_sensors.shp&lt;/strong&gt;: file containing locations of each of the 42 monitoring locations, the 'Location' field contains the location name,&lt;br /&gt;
which coincides with locations in tabular files.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;CAF_strips.shp&lt;/strong&gt;: file containing areal extents of each sub-field, stip, and crop identities for 2007-2016. Crop identity codes are listed&lt;br /&gt;
in 'CAF_CropCodes.txt'&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;CAF_DEM.tif&lt;/strong&gt;: file containing a 10 x 10 m elevation (in m) grid for Cook Farm.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;CAF_Spring_ECa.tif&lt;/strong&gt;, &lt;strong&gt;CAF_Fall_ECa.tif&lt;/strong&gt;: files containing 10 x 10 m apparent electrical conductivity (dS/m) grids to 1.5 m depth for spring&lt;br /&gt;
and fall at Cook Farm.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;CAF_Bt_30cm.tif&lt;/strong&gt;, &lt;strong&gt;CAF_Bt_60cm.tif&lt;/strong&gt;, &lt;strong&gt;CAF_Bt_90cm.tif&lt;/strong&gt;, &lt;strong&gt;CAF_Bt_120cm.tif&lt;/strong&gt;, &lt;strong&gt;CAF_Bt_150cm.tif&lt;/strong&gt;: files containing 10 x 10 m predictive surfaces for&lt;br /&gt;
probability (0-1) of Bt horizon at the five sensor depths.&lt;/p&gt;
&lt;h3&gt;Quality Control&lt;/h3&gt;
&lt;p&gt;The Flags folder consists of the files containing the quality control flags for the Cook Farm Sensor Dataset.&lt;/p&gt;
&lt;p&gt;The nomenclature for the files indicates flags for either temperature (T) or water content (VW) and sensor depths. For example:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;T_30 is for the temperature data at 30cm. depth&lt;/li&gt;
&lt;li&gt;VW_120 is for the Volumetric water content at 120 cm. depth&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Files starting with “missing” contain flags (“M”) for locations and dates (mm/dd/yyyy) with missing data (NA in original dataset).&lt;/p&gt;
&lt;p&gt;Files starting with “range” contain flags for locations and dates (mm/dd/yyyy) with values outside acceptable ranges:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Soil moisture (0-0.6 m^3/m^3) flagged as “C”&lt;/li&gt;
&lt;li&gt;Soil temperature (&amp;lt;0 deg. C) flagged as “D”&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Files starting with the name “flats” contain flags (“D”) for locations, dates (mm/dd/yyyy), and times (hh:mm) with constant values (within 1%) for a 24 hour period, as in Dorigo et al. 2013.&lt;/p&gt;
&lt;p&gt;Files starting with the name “spikes” contain flags (“D”) for locations, dates (mm/dd/yyy), and times (hh:mm) with sudden spikes in VWC readings.&lt;/p&gt;
&lt;p&gt;Files starting with the name “breaks” contain flags (“D”) for locations, dates (mm/dd/yyy), and times (hh:mm) with sudden breaks (jumps or drops) in VWC readings.&lt;/p&gt;
&lt;p&gt;Code (implemented in R) for the screening and flagging is included in “Code Snippet.txt”&lt;/p&gt;
&lt;p&gt;A list of the sensor versions as of 06/16/16 at each location and depth.&lt;/p&gt;
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-117.08849907923 46.778636924139, -117.088681411 46.778664611371, -117.08868141426 46.778666599111, -117.08877691709 46.778678451517, -117.08893028535 46.778688271152, -117.08906337668 46.778684192176, -117.08915309276 46.778696048771, -117.08920813693 46.778737748433, -117.08921108946 46.778773525457, -117.08918062963 46.778806991091))</spatial><identifier>250bee41-4d51-46b1-a7a6-1508e8240fcb</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>david_brown@wsu.edu</emailAddress><fn>Brown, David</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/CAF_Sensor_Dataset_2.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: A hydrological modeling dataset for the Johnston Draw catchment, Reynolds Creek Experimental Watershed, Idaho, USA</title><description>&lt;p&gt;This data has been updated and corrected for errors. The most up to date data can be found in the dataset &lt;a href="https://data.nal.usda.gov/dataset/data-eleven-years-mountain-weather-snow-soil-moisture-and-stream-flow-data-rain-snow-transition-zone-johnston-draw-catchment-reynolds-creek-experimental-watershed-and-critical-zone-observatory-usa-v11_5143"&gt;Data from: Eleven years of mountain weather, snow, soil moisture and stream flow data from the rain-snow transition zone - the Johnston Draw catchment, Reynolds Creek Experimental Watershed and Critical Zone Observatory, USA. v1.1&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;This dataset is supplemental to the article "A hydrological modeling dataset for the Johnston Draw catchment, Reynolds Creek Experimental Watershed, Idaho, USA," which was submitted to &lt;em&gt;Water Resources Research&lt;/em&gt; in December 2015.&lt;/p&gt;
&lt;p&gt;The data includes time-series measurements of precipitation at three different gauges (124, 125, and 124b) at the Johnston Draw watershed, a sub-watershed of the Reynolds Creek Critical Zone Observatory. The Johnston Draw watershed was established by the USDA's Agricultural Research Service in 2002 to study the rain-snow transition zone. Data was collected at gauges 124 and 125 from October 1, 2003 through September 30, 2014 and at gauge 124b from November 11, 2006 through September 30, 2014.&lt;/p&gt;
&lt;p&gt;Precipitation for 124 and 125 were wind-corrected using the dual-gauge method described by Hanson et al. (2004). Precipitation for 124b was wind-corrected using wind data and the standard World Meteorological Organization (WMO) method as applied by Yang et al. (1999). The percent snow was calculated using the methods developed by Marks et al. (2013), using the during-storm dew point temperature (Td) where:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Td &amp;lt; ­‐0.5 °C 100 % Snow&lt;/li&gt;
&lt;p&gt;­
&lt;li&gt;‐0.5 °C &amp;gt;= Td &amp;lt; 0 °C 75 % Snow&lt;/li&gt;
&lt;li&gt;0 °C &amp;lt;= Td &amp;lt; +0.5 °C 25 % Snow&lt;/li&gt;
&lt;li&gt;0.5 °C &amp;lt;= Td 0 % Snow&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;125 and 124b are dual gauge precipitation stations. The pair are modified Belfort Universal gauges, with 124b having a wind shield and 125 remaining unshielded.&lt;/p&gt;
&lt;p&gt;Each of the precipitation records is an ASCII comma-separated text file with one header row containing Date_time, WY (Water Year), Year, Month, Day, Hour, Minute, ppt_s (shielded precipitation; mm), ppt_u (unshielded precipitation; mm), ppt_a (wind corrected precipitation; mm), and pct_snow (percent of precipitation that is snow; %) separated by commas.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-11</modified><spatial>POINT (-116.77641 43.123278)</spatial><identifier>d35832e3-f9c8-46c4-acb3-cb222b18ec1f</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ars.danny@gmail.com</emailAddress><fn>Marks, Daniel G. </fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/rc.tg_.dc_.jd-124_ppt_0.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/rc.tg_.dc_.jd-124b_ppt_0.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/rc.tg_.dc_.jd-125_ppt_0.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/README_0.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Supplemental_Information_0.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Instrumentation_Information_0.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Naming_Convention_0.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Analysis of expressed sequence tags from a significant livestock pest, the stable fly (Stomoxys calcitrans), identifies transcripts with a putative role in chemosensation and sex determination.</title><description>&lt;p&gt;The stable fly, Stomoxys calcitrans L. (Diptera: Muscidae), is one of the most significant pests of livestock in the United States. The identification of targets for the development of novel control for this pest species, focusing on those molecules that play a role in successful feeding and reproduction, is critical to mitigating its impact on confined and rangeland livestock. This data set was obtained from pyrosequencing of stable fly immature and adult specimens, comprising genes expressed at these stages. Stable fly specimens were obtained from an in vitro colony that is maintained at the Knipling-Bushland U.S. Livestock Insects Research Laboratory (Kerrville, TX) at 27°C, 60% RH, and a photoperiod of 12:12 [L:D] h. The stages included 1 g each of newly laid (t0) and 24 h post-oviposition (t24) embryos, 5 g of pooled 2nd–3rd instar larvae (late larvae), 2.5 g newly pupariated pupae (early pupae), 5 g pharate adults (pupae 2 d prior to eclosion; late pupae), and 1.5 g each of heads from unfed adult females and males (adult). Total RNA was isolated from various stages using the ToTALLY RNA Isolation Kit (Ambion, Foster City, CA) following the manufacturer’s protocol. Five micrograms of normalized cDNA was prepared for sequencing on the 454/ Roche GS-FLX. Double-stranded cDNA was nebulized to generate nominal 500-kb fragments and a shotgun library prepared for GS-FLX sequencing as per the manufacturer’s instructions (Roche, Indianapolis, IN). The sequencing library was run on a full picotitre plate and resulting data submitted to NCBI Short Read Archive (SRX018014). The resulting sequence data was assembled using newbler (RocheN) and the assembly optimized using a beta version of NGEN (DNAstar, Madison, WI) and Seqman (DNAstar, Oxford, UK). BLASTx was utilized based upon W.ND-BLAST (Dowd et al., 2005) against an embl-derived database for Drosophila (2008). Functional annotations were derived using DAVID (Dennis et al., 2003).&lt;/p&gt;
&lt;p&gt;Raw reads were submitted to the Sequence Read Archive (SRA) Database at NCBI.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-11-17</modified><identifier>ac7e435c-a180-41e6-8ccc-75234f9fbe56</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pia.olafson@ars.usda.gov</emailAddress><fn>Olafson, Pia</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>http://www.ncbi.nlm.nih.gov/sra/SRX018014</references><distribution><downloadURL>https://www.ncbi.nlm.nih.gov/bioproject/79611</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Assessment of bacterial diversity in the cattle tick Rhipicephalus (Boophilus) microplus through tag-encoded pyrosequencing</title><description>&lt;p&gt;The objective of this study was to explore the R. microplus microbiome by applying the bacterial 16S tag-encoded FLX-titanium amplicon pyrosequencing (bTEFAP) technique to characterize its bacterial diversity.&lt;/p&gt;
&lt;p&gt;Pyrosequencing was performed on adult males and females, eggs, and gut and ovary tissues from adult females derived from samples of R. microplus collected during outbreaks in southern Texas. Raw data from bTEFAP were screened and trimmed based upon quality scores and binned into individual sample collections. Bacteria identified to the species level include Staphylococcus aureus, Staphylococcus chromogenes, Streptococcus dysgalactiae, Staphylococcus sciuri, Serratia marcescens, Corynebacterium glutamicum, and Finegoldia magna. One hundred twenty-one bacterial genera were detected in all the life stages and tissues sampled. The total number of genera identified by tick sample comprised: 53 in adult males, 61 in adult females, 11 in gut tissue, 7 in ovarian tissue, and 54 in the eggs. Notable genera detected in the cattle tick include Wolbachia, Coxiella, and Borrelia. The molecular approach applied in this study allowed us to assess the relative abundance of the microbiota associated with R. microplus.&lt;/p&gt;
&lt;p&gt;Ticks are regarded as the most relevant vectors of disease-causing pathogens in domestic and wild animals. The cattle tick, Rhipicephalus (Boophilus) microplus, hinders livestock production in tropical and subtropical parts of the world where it is endemic. Tick microbiomes remain largely unexplored.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/data-assessment-bacterial-diversity-cattle-tick-rhipicephalus-boophilus-microplus-through-4</describedBy><modified>2017-11-17</modified><identifier>ea5d9f69-b4fb-43df-b7b5-55f9a8a30911</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Beto.PerezdeLeon@ars.usda.gov</emailAddress><fn>Pérez de León, Adalberto A.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Table%201_Estimated%20operational%20taxonomic%20units%20in%20samples%20of%20Rhipicephalus%20%28Boophilus%29%20microplus%20through%20Rarefaction%2C%20Ace%2C%20and%20Chao1_0.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.biomedcentral.com/content/supplementary/1471-2180-11-6-s1.pdf</downloadURL><format>pdf</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.biomedcentral.com/1471-2180/11/6/figure/F1</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.biomedcentral.com/1471-2180/11/6/figure/F2</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/CattleTickBacterialDiversity_DataDictionary_2.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Table%201_Estimated%20operational%20taxonomic%20units%20in%20samples%20of%20Rhipicephalus%20%28Boophilus%29%20microplus%20through%20Rarefaction%2C%20Ace%2C%20and%20Chao1_0.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: BBGD: an online database for blueberry genomic data</title><description>&lt;p&gt;This dataset is supplemental to the article "BBGD: an online database for blueberry genomic data," (2007); it is titled "list of genes printed on microarray slides."&lt;/p&gt;
&lt;p&gt;The article, "BBGD: an online database for blueberry genomic data," (2007) involving blueberry cold hardiness experiments has a list of all the genes that were printed on microarray slides. This dataset, supplemental to the article, is called: "list of genes printed on microarray slides." 1471-2229-7-5-s1.xls 663k.&lt;br /&gt;
By using the BBGD database, researchers developed EST-based markers for mapping, and have identified a number of "candidate" cold tolerance genes that are highly expressed in blueberry flower buds after exposure to low temperatures. &lt;/p&gt;
&lt;p&gt;BBGD (&lt;a href="http://bioinformatics.towson.edu/BBGD/"&gt;http://bioinformatics.towson.edu/BBGD/&lt;/a&gt;) is a public online database, and was developed for blueberry genomics. BBGD is both a sequence and gene expression database: it stores both EST and microarray data, and allows scientists to correlate expression profiles with gene function. Presently, the main focus of the database is the identification of genes in blueberry that are significantly induced or suppressed after low temperature exposure.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-21</modified><identifier>d134be9f-7ca8-497f-aa5b-292c295bf5bb</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>nalkharouf@towson.edu</emailAddress><fn>Alkharouf, Nadim W. </fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>http://bioinformatics.towson.edu/BBGD/</references><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/1471-2229-7-5-s1.xls</downloadURL><format>xls</format><mediaType>application/vnd.ms-excel</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://bmcplantbiol.biomedcentral.com/articles/10.1186/1471-2229-7-5</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Bran data of total flavonoid and total phenolic contents, oxygen radical absorbance capacity, and profiles of proanthocyanidins and whole grain physical traits of 32 red and purple rice varieties</title><description>&lt;p&gt;Phytochemicals in red and purple bran rice have potential health benefit to humans. The phytochemicals in brans of 32 red and purple global rice varieties are determined. The description of the origin and physical traits of the whole grain (color, length, width, thickness and 100-kernel weight) of this germplasm collection are provided along with data of total flavonoid and total phenolic contents, oxygen radical absorbance capacity and total proanthocyanidin contents. The contents and proportions of individual oligomers, from degree of polymerization of monomers to 14-mers, and polymers in bran of these 32 rice (&lt;em&gt;Oryza sativa&lt;/em&gt; L.) varieties are presented (DOI: &lt;a href="http://dx.doi.org/10.1016/j.foodchem.2016.04.004"&gt;http://dx.doi.org/10.1016/j.foodchem.2016.04.004&lt;/a&gt;)&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2018-01-19</modified><identifier>df241e39-e2ce-4d9e-95b1-ae034d6e3bfc</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ming.chen@ars.usda.gov</emailAddress><fn>Chen, Ming Hsuan</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.sciencedirect.com/science/article/pii/S235234091630289X</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Changes in genetic selection differentials and generation intervals in US Holstein dairy cattle as a result of genomic selection</title><description>&lt;p&gt;Aggregate means for six traits (milk, fat, and protein yields, somatic cell score, length of productive life, and daughter pregnancy rate)&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-11</modified><identifier>521a93b3-f965-4853-a7ee-378c4920fe52</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>curt.vantassell@ars.usda.gov</emailAddress><fn>Van Tassell, Curtis P.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/HO_M.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/HO_f.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/HO_p.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/HO_scs.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/HO_pl.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/HO_DPR.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Color Analysis of Storage Roots from the USDA, ARS Sweetpotato Germplasm Collection</title><description>&lt;p&gt;737 PI accessions from the US Department of Agriculture, Agricultural Research Service Sweetpotato Collection were grown in the field and in greenhouse pots, and storage roots were harvested. The periderm (skin) and stele (flesh) of storage roots were measured using a Konica Minolta Chroma Meter (CR 400, Konica Minolta, Inc., Tokyo, Japan), and data were recorded using the CIE 1976 L*a*b* and CIE L*C*h* color spaces. Data from this study is contained in a manuscript that will be submitted to Genetic Resources and Crop Evolution under the title &amp;quot;Color Analysis of Storage Roots from the USDA, ARS Sweetpotato Germplasm Collection.&amp;quot; Data parameters presented are lightness (L*), red-green coordinate (a*), yellow-blue coordinate (b*), color intensity or chroma (C*), and hue angle (H*). Also included in this data set are percentage dry matter and root densities as these data are correlated to color values.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/data-color-analysis-storage-roots-usda-ars-sweetpotato-germplasm-collection/resource/2b302635-10de-4dc4-84d0-1afbfd711d4e</describedBy><modified>2017-12-21</modified><identifier>4565baf9-ac8b-4325-9075-a46a46efe5d5</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>mike.jackson@ars.usda.gov</emailAddress><fn>Jackson, D. Michael</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Sweetpotato-Periderm-Field.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Sweetpotato-Periderm-Pots.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Sweetpotato-Stele-Field.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Sweetpotato-Stele-Pots.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Sweetpotato-DryWt-Field.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Sweetpotato-Periderm-Summary%20Table.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Sweetpotato-Stele-Summary%20Table.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Sweetpotato-Periderm-Summary%20Table_3.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Sweetpotato-Stele-Summary%20Table.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Sweetpotato-DryWt-Field.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Sweetpotato-Stele-Pots_0.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Sweetpotato-Stele-Field.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Sweetpotato-Periderm-Pots.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Sweetpotato-Periderm-Field.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/sweetpotato_DD_0.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Datasets for transcriptomic analyses of maize leaves in response to Asian corn borer feeding and/or jasmonic acid</title><description>&lt;p&gt;Corn (&lt;em&gt;Zea mays&lt;/em&gt;) is one of the most widely grown crops throughout the world. However, many corn fields develop pest problems such as corn borers every year that seriously affect its yield and quality. Corn's response to initial insect damage involves a variety of changes to the levels of defensive enzymes, toxins, and communicative volatiles. Such a dramatic change secondary metabolism necessitates the regulation of gene expression at the transcript level. This &lt;em&gt;Data In Brief&lt;/em&gt; paper summarizes the datasets of the transcriptome of corn plants in response to corn stalk borers (&lt;em&gt;Ostrinia furnacalis&lt;/em&gt;) and/or methyl jasmonate (MeJA). Altogether, 39, 636 genes were found to be differentially expressed. The sequencing data are available in the NCBI SRA database under accession number SRS965087. This dataset will provide more scientific and valuable information for future work such as the study of the functions of important genes or proteins and develop new insect-resistant maize varieties. Includes supplementary tables and data in fasta and GTF format.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2018-01-17</modified><spatial>POINT (126.633333 45.75)</spatial><identifier>a308706d-dd91-4823-a590-4a047c2a6655</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>guohuayin1997@gmail.com</emailAddress><fn>Yin, Guohua</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.sciencedirect.com/science/article/pii/S2352340916301792</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Defensive aphid symbiont Hamiltonella defensa effects on Aphelinus glycinis and Aphelinus atriplicis</title><description>&lt;p&gt;Endosymbiont interactions with hosts have important effects on fitness, including the fitness of many pest and beneficial species. Among these interactions, facultative endosymbiotic bacteria can protect aphids from parasitoids. &lt;em&gt;Aphis craccivora&lt;/em&gt; and &lt;em&gt;Acyrthosiphon pisum&lt;/em&gt; can harbor the symbiotic bacteria &lt;em&gt;Hamiltonella defensa&lt;/em&gt; and its bacteriophage APSE. Infection by &lt;em&gt;H. defensa&lt;/em&gt; defends these aphids against some but not all parasitoid species in the hymenopteran family Braconidae. Here, we report results on the effect of &lt;em&gt;H. defensa&lt;/em&gt; on parasitism of these aphids by species in the other major lineage of aphid parasitoids, &lt;em&gt;Aphelinus&lt;/em&gt; species in the family Aphelinidae. Parasitism of aphids infected with &lt;em&gt;H. defensa&lt;/em&gt; /APSE by two &lt;em&gt;Aphelinus&lt;/em&gt; species did not differ from that of uninfected aphids. While &lt;em&gt;Aphelinus atriplicis&lt;/em&gt; showed no difference in fitness components between infected and uninfected aphids, &lt;em&gt;Aphelinus glycinis&lt;/em&gt; actually produced more adult progeny and larger female progeny on infected than on uninfected aphids. &lt;em&gt;Aphelinus glycinis&lt;/em&gt; may increase host quality for itself by changing the titer of nutritional versus protective bacteria in such a way that aphids infected with &lt;em&gt;H. defensa&lt;/em&gt; can be made more suitable for parasitoid development than uninfected aphids. Our results and reasoning suggest that these Aphelinus species may be less prone to harm by &lt;em&gt;H. defensa&lt;/em&gt; /APSE that affect eggs because they have anhydropic, heavily chorionated eggs, which may not absorb toxins during embryogenesis.&lt;/p&gt;
&lt;h3&gt;Insect sources and rearing conditions&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;Aphelinus glycinis&lt;/em&gt; was collected in the Peoples Republic of China under a Memorandum of Understanding between their Ministry of Agriculture and the United States Department of Agriculture (USDA). &lt;em&gt;Aphelinus atriplicis&lt;/em&gt; was collected by employees of the USDA, Agricultural Research Service (ARS), in the Republic of Georgia with the permission of that government. The parasitoids were imported into the USDA, ARS, Beneficial Insect Introductions Research Unit containment facility in Newark, Delaware, under permits from the USDA, Animal and Plant Health Inspection Service (Permit Numbers P526P-08-02142 and P526P-09-01929). No specific permissions were required to collect &lt;em&gt;Aphis craccivora&lt;/em&gt; or &lt;em&gt;Acyrthosiphon pisum&lt;/em&gt; because these are cosmopolitan aphids that occur in the field throughout North America. None of the species collected or studied are endangered or protected.&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Aphis craccivora&lt;/em&gt; is a cosmopolitan pest of legumes and is anholocyclic, i.e. reproduces asexually, throughout most of its range (Blackman and Eastop, 2006). &lt;em&gt;Acyrthosiphon pisum&lt;/em&gt; is an almost cosmopolitan pest of legumes and is holocyclic, i.e. alternates by asexual and sexual reproduction in temperature regions (Blackman and Eastop, 2006). &lt;em&gt;Aphis craccivora&lt;/em&gt; in these experiments were collected originally in Kentucky, USA, in 2009, and &lt;em&gt;Ac. pisum&lt;/em&gt; were collected in Utah, USA, in 2007. The aphids were cultured on fava bean, &lt;em&gt;Vicia faba&lt;/em&gt; L., in 12 cm pots in plant growth chambers at 20°C and a 16L:8D h photoperiod. Isofemale lines were initiated from single female aphids on individual V. fava plants. Lines from the original populations tested positive for infection with only H. defensa using Denaturing Gradient Gel Electrophoresis (DGGE) analysis of PCR-amplified fragments of 16S rRNA and confirmed with diagnostic PCR (Russell et al., 2013). APSE type 3 was found in &lt;em&gt;H. defensa&lt;/em&gt; in &lt;em&gt;Ac. pisum&lt;/em&gt; and APSE type 4 was found in &lt;em&gt;H. defensa&lt;/em&gt; in &lt;em&gt;Ap. craccivora&lt;/em&gt;. Aphid lines without &lt;em&gt;H. defensa&lt;/em&gt; were generated by a selective curing technique in which aphids were fed an artificial diet that was treated with equal parts of the antibiotics gentamycin, defatoxiamine and ampicillin for 3 days, after which the aphids were placed on &lt;em&gt;V. fava&lt;/em&gt; plants (Dykstra et al., 2014). Clearing of &lt;em&gt;H. defensa&lt;/em&gt; from offspring of aphids from these lines was confirmed by PCR (Russell et al., 2013). Cured (AC1H-) and uncured lines (AC1H+) from &lt;em&gt;Ap. craccivora&lt;/em&gt; and cured (AS3H-) and uncured lines (AS3H+) from &lt;em&gt;Ac. craccivora&lt;/em&gt; were used for the experiments reported here. They were shipped to Newark, Delaware, USA, in spring 2012, where they were maintained for 40-50 generations prior to these experiments. Both cured and uncured lines were tested using diagnostic PCR for the presence of &lt;em&gt;H. defensa&lt;/em&gt; and APSE prior to assays.&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Aphelinus atriplicis&lt;/em&gt; was collected as mummified &lt;em&gt;Diuraphis noxia&lt;/em&gt; on wheat near Tbilisi, Republic of Georgia, in 2000; &lt;em&gt;A. glycinis&lt;/em&gt; was collected as mummified &lt;em&gt;Aphis glycines&lt;/em&gt; Matsumura (Hemiptera: Aphididae) on soybean near Xiuyan, Liaoning Province, Peoples Republic of China, in 2007. &lt;em&gt;Aphelinus glycinis&lt;/em&gt; was described from the culture used in this study (Hopper et al., 2012); &lt;em&gt;A. atriplicis&lt;/em&gt; was described by Kurdjumov (1913), and the culture used in this study was included in a molecular phylogeny of species in the &lt;em&gt;Aphelinus varipes&lt;/em&gt; complex (Heraty et al., 2007). Cultures were established in the quarantine facility at the USDA-ARS, Beneficial Insect Introductions Research Unit, Newark, Delaware, USA. The cultures were divided into 4-6 subcultures, and each subculture was maintained with an adult population size greater than 200 and sex ratio of 1:1 males:females. &lt;em&gt;Aphelinus atriplicis&lt;/em&gt; was reared on &lt;em&gt;D. noxia&lt;/em&gt; on barley, &lt;em&gt;Hordeum vulgare&lt;/em&gt; L. (Poaceae); &lt;em&gt;Aphelinus glycinis&lt;/em&gt; was reared on &lt;em&gt;Aphis glycines&lt;/em&gt; on soybean, &lt;em&gt;Glycine max&lt;/em&gt; (L.) (Fabaceae). The culture of &lt;em&gt;D. noxia&lt;/em&gt; was started in 1998 with aphids from southeastern Wyoming, and the culture of &lt;em&gt;A. glycines&lt;/em&gt; was started in 2008 with aphids from Newark, Delaware. Neither &lt;em&gt;D. noxia&lt;/em&gt; nor &lt;em&gt;A. glycines&lt;/em&gt; are known to harbor &lt;em&gt;H. defensa&lt;/em&gt;, and diagnostic PCR assays confirmed the absence of &lt;em&gt;H. defensa&lt;/em&gt; in our colonies of these species. Although &lt;em&gt;A. glycines&lt;/em&gt; harbors another bacterium, &lt;em&gt;Arsenophonus&lt;/em&gt;, this secondary symbiont apparently does not protect against parasitoids (Wulff et al., 2013). All cultures were reared on appropriate host plant species in plant growth chambers at 20°C, 50-70% relative humidity, 16:8 h (L:D) photoperiod. Vouchers are maintained at -20°C in molecular-grade ethanol at the Beneficial Insect Introduction Research Unit, Newark, Delaware, USA.&lt;/p&gt;
&lt;h3&gt;Parasitism and parasitoid fitness on aphids infected with &lt;em&gt;Hamiltonella defensa&lt;/em&gt; versus uninfected aphids&lt;/h3&gt;
&lt;p&gt;To measure the effect of infection with &lt;em&gt;H. defensa&lt;/em&gt; harboring APSE on parasitism of &lt;em&gt;Ap. craccivora&lt;/em&gt; and &lt;em&gt;Ac. craccivora&lt;/em&gt;, as well as on parasitoid fitness components, we exposed individual, mated females of &lt;em&gt;Aphelinus atriplicis&lt;/em&gt; or &lt;em&gt;Aphelinus glycinis&lt;/em&gt; that were less than 5 days old to either aphids infected with &lt;em&gt;H. defensa&lt;/em&gt; or uninfected aphids on &lt;em&gt;V. faba&lt;/em&gt; variety Windsor. Females were drawn at random from the replicated sub-populations used for rearing. Seeds were planted in 12 cm diameter x 12 cm tall pots with the same soil mix and fertilizer used for insect rearing and plants and insects were kept under the same conditions as described for insect rearing prior to use in experiments. We put each female parasitoid in a cage (polystyrene, 10 cm diameter by 22 cm tall, with eight 2.5 cm holes in the sides and a 12 cm hole in the top covered with fine-mesh screening) enclosing the foliage of 2-3 young fava bean plants in a pot with about 100 aphids, including 1-4 instar nymphs and adults. The aphids were transferred as colonies on excised leaves from our rearing cultures, and the excised leaves were placed on the experimental plants to allow the aphids to settle and feed two days before the parasitoids were added. Female parasitoids were removed after 7 days. &lt;em&gt;Aphelinus&lt;/em&gt; females rarely superparasitize unless they are host limited (Bai and Mackauer, 1990; Hagen and VanDenBosch, 1968). Their lifetime fecundities are 100-300, and given that we exposed them to 100 aphids at the beginning of the experiments, and the aphids would produce more than 2000 progeny during the 7 day exposure, there were far more aphids than they could parasitize during this period so the likelihood of superparasitism is quite low.&lt;/p&gt;
&lt;p&gt;The density of aphids, amount of plant material, and cage size meant that parasitoids were not limited by search rate.&lt;/p&gt;
&lt;p&gt;Aphids parasitized by these &lt;em&gt;Aphelinus&lt;/em&gt; species mummify about 7 days after being parasitized and adult parasitoids emerge 10 days after mummification. To ensure that aphids parasitized throughout the exposure period had time to mummify but would not yet have emerged as adults, we collected mummified aphids 7 days after the end of the exposure of aphids to parasitoids and held them for adult parasitoid emergence. After the adults emerged, we recorded the number of mummified aphids, the number of mummies from which adults emerged, and the number and sex of adult parasitoids. We dried the adult progeny of each female at 50°C for one hour and weighed the sexes separately on a microbalance. Because we scored parasitism after the larval parasitoids killed and mummified their hosts, which occurs during the parasitoid third instar, this measure of parasitism is a combination of acceptance of aphids for oviposition and suitability of aphids for parasitoid survival to third instar.&lt;/p&gt;
&lt;h3&gt;Design structure&lt;/h3&gt;
&lt;p&gt;The experiments on parasitism of each aphid species by each wasp species were designed as randomized complete-blocks blocks: location within rearing chamber was the blocking factor and each cage with a female parasitoid, aphids, and plants was an experimental unit. There were 48 experimental units each for &lt;em&gt;Aphelinus glycinis&lt;/em&gt; on &lt;em&gt;Ap. craccivora&lt;/em&gt; and &lt;em&gt;Aphelinus atriplicis&lt;/em&gt; on &lt;em&gt;Ap. craccivora&lt;/em&gt; and on &lt;em&gt;Ac. pisum&lt;/em&gt; (24 each for &lt;em&gt;Hamiltonella&lt;/em&gt;-infected versus uninfected aphids).&lt;/p&gt;
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41.535656))</spatial><identifier>b6fa05f9-555f-424a-9803-321478045b8f</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Keith.Hopper@ars.usda.gov</emailAddress><fn>Hopper, Keith R.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Parasitism_Hamiltonella.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Data%20Dictionary%20-%20%20Defensive%20aphid%20symbiont%20Hamitonella%20defensa%20effects%20on%20Aphelinus%20glycinis%20and%20Aphelinus%20atriplicis_1.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Discovery of MicroRNAs of the Stable Fly (Diptera: Muscidae) by High-Throughput Sequencing</title><description>&lt;p&gt;This dataset reports discovery and initial comparative analysis of 88 presumptive microRNA (miRNA) sequences from the stable fly, obtained using high-throughput sequencing of small RNAs. The majority of stable fly miRNAs were 22-23 nucleotides (nt) in length. Many miRNAs were arthropod specific, and several mature miRNA sequences showed greater sequence identity to miRNAs from other blood-feeding dipterans such as mosquitoes rather than to Drosophilids. This initial step in characterizing the stable fly microRNAome provides a basis for further analyses of life stage-specific and tissue-specific expression to elucidate their functional roles in stable fly biology.&lt;/p&gt;
&lt;p&gt;The stable fly, Stomoxys calcitrans (L.), is a serious ectoparasite affecting animal production and health of both animals and humans. Stable fly control relies largely on chemical insecticides; however, the development of insecticide resistance as well as environmental considerations requires continued discovery research to develop novel control technologies. MicroRNAs are a class of short noncoding RNAs that have been shown to be important regulators of gene expression across a wide variety of organisms, and may provide an innovative approach with regard to development of safer more targeted control technologies.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2018-01-18</modified><identifier>1021cb9a-6acd-46e8-a63a-940f9e435f1d</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>kevin.temeyer@ars.usda.gov</emailAddress><fn>Temeyer, Kevin B.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.bioone.org/action/showFullPopup?doi=10.1603%2FME12274&amp;id=t01a</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.bioone.org/action/showFullPopup?doi=10.1603%2FME12274&amp;id=f01</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Effects of conifer treatments on soil nutrient availability and plant composition in sagebrush steppe</title><description>&lt;p&gt;Conifer control in sagebrush steppe of the western United States causes various levels of site disturbance influencing vegetation recovery and resource availability. The data set presented in this article include growing season availability of soil micronutrients and levels of total soil carbon, organic matter, and N spanning a six year period following western juniper (&lt;em&gt;Juniperus occidentalis&lt;/em&gt; spp. &lt;em&gt;occidentalis&lt;/em&gt;) reduction by mechanical cutting and prescribed fire of western juniper woodlands in southeast Oregon. These data can be useful to further evaluate the impacts of conifer woodland reduction to soil resources in sagebrush steppe plant communities.&lt;/p&gt;
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&lt;p&gt;This version of the data set fixes errors in all data files and supersedes the earlier datasets &lt;a href="https://doi.org/10.15482/USDA.ADC/1258769"&gt;https://doi.org/10.15482/USDA.ADC/1258769&lt;/a&gt; and &lt;a href="https://doi.org/10.15482/USDA.ADC/1245163"&gt;https://doi.org/10.15482/USDA.ADC/1245163&lt;/a&gt;.&lt;/p&gt;
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from: Genomic survey of the ectoparasitic mite Varroa destructor, a major pest of the honey bee Apis mellifera</title><description>&lt;p&gt;These data represent &lt;em&gt;V. destructor&lt;/em&gt; genomic annotations to be used for evolutionary comparison with other arthropods.&lt;/p&gt;
&lt;p&gt;The ectoparasitic mite &lt;em&gt;Varroa destructor&lt;/em&gt; has emerged as the primary pest of domestic honey bees (&lt;em&gt;Apis mellifera&lt;/em&gt;).&lt;br /&gt;
Here we present an initial survey of the &lt;em&gt;V. destructor&lt;/em&gt; genome carried out to advance our understanding of &lt;em&gt;Varroa&lt;/em&gt; biology and to identify new avenues for mite control. This sequence survey provides immediate resources for molecular and population-genetic analyses of &lt;em&gt;Varroa-Apis&lt;/em&gt; interactions and defines the challenges ahead for a comprehensive &lt;em&gt;Varroa&lt;/em&gt; genome project.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/data-genomic-survey-ectoparasitic-mite-varroa-destructor-major-pest-honey-bee-apis-0</describedBy><modified>2017-12-11</modified><spatial>POINT (-76.912536621094 39.020917476016)</spatial><identifier>fb4b4b6e-22c1-4e10-9cc3-a6382570fb80</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jay.Evans@ars.usda.gov</emailAddress><fn>Evans, Jay D.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.biomedcentral.com/content/supplementary/1471-2164-11-602-s3.xls</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Data%20Dictionary%20genomic%20survey%20ectoparasitic%20mite%20varroa.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/1471-2164-11-602-s3_0.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Host specificity of Aphelinus species collected from soybean aphid in Asia</title><description>&lt;p&gt;The soybean aphid, &lt;em&gt;Aphis glycines&lt;/em&gt; Matsumura (Hemiptera: Aphididae), is native to Asia where it is an occasional pest of soybean, &lt;em&gt;Glycine max&lt;/em&gt; (L.). &lt;em&gt;Aphis glycines&lt;/em&gt; was found during 2000 in North America and since then has spread throughout much of the area where soybean is grown. In Asia, &lt;em&gt;A. glycines&lt;/em&gt; seldom reaches damaging levels; however in North America, it has become the most important insect pest of soybean, decreasing yields and incurring large control costs. Field surveys and exclosure experiments in China showed that natural enemies can limit soybean aphid abundance. A project to find, evaluate, and introduce Asian natural enemies into North America was initiated in 2001, with an emphasis on parasitoids. To ensure that introductions of exotic parasitoids would have minimum impact on non-target species, we tested host specificity of all candidates for introduction. These data sets provide results of no-choice laboratory experiments on host specificity of 13 populations in seven species from three species complexes in the genus &lt;em&gt;Aphelinus&lt;/em&gt; (Hymenoptera: Aphelinidae). They also provide results of experiments on the mechanisms of host specificity in three parasitoid species with narrow host ranges.&lt;/p&gt;
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from: Host specificity of Aphelinus species considered for introduction to control Diuraphis noxia</title><description>&lt;p&gt;Diuraphis noxia, the Russian wheat aphid, has become a major pest of wheat and barley since first being detected in the western USA in 1986. However, it is rarely a pest in Eurasia, its area of origin, and research has shown that natural enemies can limit its abundance there. Among the most important of natural enemies of D. noxia in Eurasia are parasitoids in the genus Aphelinus. These data are results of laboratory experiments on host specificity of ten populations of seven species from two species complexes in the genus Aphelinus. Host specificity was not related to host plant species or the phylogenetic relatedness of the aphids or the parasitoids. While some species had very broad host ranges and others had intermediate host ranges, Aphelinus hordei had a very narrow host range, being restricted primarily to species in the genus Diuraphis, and especially D. noxia. We also report the results of experiments on the mechanisms of this host specificity. Most of the host specificity of A. hordei can be explained by differences in the behavior of females when they encountered different aphid species. Females of A. hordei rarely approach, sting, oviposit or host feed on aphids outside the genus Diuraphis, and they oviposit most frequently in D. noxia. From these results, we conclude that A. hordei is an excellent candidate for introduction into the USA to control D. noxia.&lt;/p&gt;
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41.003906))</spatial><identifier>34759558-1958-4598-ad27-ddb28bcdf105</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Keith.Hopper@ars.usda.gov</emailAddress><fn>Hopper, Keith R.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Aphelinus_culture_data_grains.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Aphelinus_grain_aphids_host_use.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Aphelinus_hordei_host_use_round2.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Aphelinus_hordei_with_Diuraphis_species.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Aphelinus_hordei_behavior_summary.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Aphelinus_hordei_behavior_detailed.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/data_dictionary_host_specificity_of_Aphelinus.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Identifying Critical Life-Stage Transitions for Vincetoxicum Biological Control, Long-lived Perennial Invaders</title><description>&lt;p&gt;This dataset includes data on 25 transitions of a matrix demographic model of the invasive species &lt;em&gt;Vincetoxicum nigrum&lt;/em&gt; (L.) Moench (black swallow-wort or black dog-strangling vine) and &lt;em&gt;Vincetoxicum rossicum&lt;/em&gt; (Kleopow) Barb. (pale swallow-wort or dog-strangling vine) (Apocynaceae, subfamily Asclepiadoideae), two invasive perennial vines in the northeastern U.S.A. and southeastern Canada. The matrix model was developed for projecting population growth rates as a result of changes to lower-level vital rates from biological control although the model is generalizable to any control tactic. Transitions occurred among the five life stages of seeds, seedlings, vegetative juveniles (defined as being in at least their second season of growth), small flowering plants (having 1–2 stems), and large flowering plants (having 3 or more stems). Transition values were calculated using deterministic equations and data from 20 lower-level vital rates collected from 2009-2012 from two open field and two forest understory populations of &lt;em&gt;V. rossicum&lt;/em&gt; (43°51’N, 76°17’W; 42°48'N, 76°40'W) and two open field populations of &lt;em&gt;V. nigrum&lt;/em&gt; (41°46’N, 73°44’W; 41°18’N, 73°58’W) in New York State. Sites varied in plant densities, soil depth, and light levels (forest populations). Detailed descriptions of vital rate data collection may be found in: Milbrath et al. 2017. Northeastern Naturalist 24(1):37-53. Five replicate sets of transition data obtained from five separate spatial regions of a particular infestation were produced for each of the six populations.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/data-identifying-critical-life-stage-transitions-vincetoxicum-biological-control-long-lived-perennial-invaders/resource/96d11354-da20-4ff3-abf7-9c4e7cc79a08</describedBy><modified>2018-01-04</modified><spatial>POINT (-73.970239162445 41.300301395061), POINT (-73.74050796032 41.780053707763), POINT (-76.291841268539 43.860147224095), POINT (-76.677972078323 42.809768150347)</spatial><identifier>9c10f0b7-9e31-4dc1-bbc9-5be8bfbd12bf</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Lindsey.Milbrath@ars.usda.gov</emailAddress><fn>Milbrath, Lindsey</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Matrix_model_transition_data.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Matrix_model_metadata.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Matrix_Model_transition_data_DD_3.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Vital_Rate.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Infestation ratings database for soybean aphid on early-maturity wild soybean lines</title><description>&lt;p&gt;Soybean aphid (&lt;em&gt;Aphis glycines&lt;/em&gt; Matsumura; SA) is a major invasive pest of soybean [&lt;em&gt;Glycine max&lt;/em&gt; (L.) Merr.] in northern production regions of North America. Although insecticides are currently the main method for controlling this pest, SA-resistant cultivars are being developed to sustainably manage SA in the future. The viability of SA-resistant cultivars may depend on identifying a diverse set of resistance genes from screening various germplasm sources, including wild soybean (&lt;em&gt;Glycine soja&lt;/em&gt; Siebold and Zucc.), the progenitor of cultivated soybean. Data consisted of infestation ratings generated for a total of 337 distinct plant introduction lines of wild soybean that were exposed to avirulent SA biotype 1 for 14 d in 25 separate tests. Individual plants of the test lines were given a common rating by two researchers, based on a rating scale that progressed from 1=0 to 50, 2=51 to 100, 3=101 to 150, 4=151 to 200, 5=201 to 250, and 6 with &amp;gt;250 SA per test plant. Public dissemination of this dataset will allow for further analyses and evaluation of resistance among the test lines.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-11</modified><identifier>2547fcbe-9ace-484a-8acb-0545a14cdf59</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>louis.hesler@ars.usda.gov</emailAddress><fn>Hesler, Louis S.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://ars.els-cdn.com/content/image/1-s2.0-S2352340917304432-mmc2.xlsx</downloadURL><format>xlsx</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Interspecific variation in persistence of buried weed seeds follows trade-offs among physiological, chemical and physical seed defenses</title><description>&lt;p&gt;This dataset includes data on the chemical, physical and biological traits of weed seeds of 11 arable weed species in relation to the persistence of these seeds in the soil seedbank within a common-garden burial study. We performed a common garden weed seed burial study at the University of Illinois Crop Sciences Research and Education Center in Savoy, IL (40.048757 N, -88.237206 E), from October 2007 through October 2012. The experiment was arranged in a split-plot design with four replications of the sub-plot variable species nested within main plot variable burial duration (1 to 5 years). Eleven annual weed species were included, spanning a broad range of seed sizes, dormancy types and seedbank persistence: &lt;em&gt;Abutilon theophrasti&lt;/em&gt; Medik (velvetleaf), &lt;em&gt;Ambrosia trifida&lt;/em&gt; L. (giant ragweed), &lt;em&gt;Amaranthus tuberculatus&lt;/em&gt; [Moq]. Sauer (common waterhemp), &lt;em&gt;Bassia scoparia&lt;/em&gt; [L.] A. J. Scott (kochia), &lt;em&gt;Chenopodium album&lt;/em&gt; L. (common lambsquarters), &lt;em&gt;Ipomoea hederacea&lt;/em&gt; Jacq. (ivyleaf morningglory), &lt;em&gt;Panicum miliaceum&lt;/em&gt; L. (wild proso millet), &lt;em&gt;Polygonum pensylvanicum&lt;/em&gt; L. (Pennsylvania smartweed), &lt;em&gt;Setaria faberi&lt;/em&gt; Herrm. (giant foxtail), &lt;em&gt;Setaria pumila&lt;/em&gt; [Poir] Roem. (yellow foxtail) and &lt;em&gt;Thlaspi arvense&lt;/em&gt; L. (field pennycress).&lt;/p&gt;
&lt;p&gt;Weed seeds were collected in 2007 from the experimental site and adjoining fields by gently shaking mature inflorescences over a bucket and bulking seeds from multiple plants to form a composite sample for each species. Light seed were removed by processing with a seed cleaner, after which seeds were stored in air tight containers at 4C until burial. Immediately prior to burial, seed viability was assayed with tetrazolium. Burial units consisted of 100 seeds of a given species placed in the bottom of a 2.5 cm deep square tray, 10 cm on a side, made of 0.5 mm stainless steel wire mesh. Tray bottoms were permeable to water, but prevented seeds from escaping. Trays were filled 2 cm deep with soil from a nearby grass sward that had not been cropped for over 30 years, to avoid contamination with weed seeds (verified by elutriating samples of this soil). Within each experimental unit, we excavated a 2 cm deep rectangle 30 cm wide by 40 cm long, and placed trays for each of the 11 species side by side into this depression so that their soil surface was flush with the surrounding soil, leaving a 0.5 cm wire mesh lip exposed in each tray. Each experimental unit was covered by wire mesh with 1 cm square openings to permit access to invertebrate granivores. The study plot was fenced to exclude large vertebrates.&lt;/p&gt;
&lt;p&gt;Seedling emergence was recorded weekly from March through October every year. Seed trays for a given burial duration treatment were removed in October of the assigned year and seeds recovered via elutriation (Wiles et al. 1996). Recovered seeds were incubated under oscillating temperature conditions (15 C/dark for 10 hr, 25 C/light for 14 hr) for 2 weeks and germination recorded. Ungerminated seeds assessed as viable through tetrazolium testing were considered dormant.&lt;/p&gt;
&lt;p&gt;SEED TRAITS&lt;br /&gt;
We measured chemical and physical seed traits on freshly collected seeds following the methods outlined in Tiansawat et al. (2014), using multiple measures of each trait class to provide functional redundancy and allow them to be treated as latent or manifest variables during multivariate analyses. For the chemical defense trait class we measured ortho-dihydroxyphenol (o-DHP) concentration, abundance and diversity of phenolic compounds quantified with high performance liquid chromatography, impact of seed homogenate on brine shrimp survival, and seed removal by invertebrate granivores. Physical traits measured included seed coat thickness, seed mass, and seed coat rupture force. Pairwise interspecific phylogenetic distances were quantified using the phydist subroutine of Phylocom 4.2 (&lt;a href="http://www.phylodiversity.net"&gt;www.phylodiversity.net&lt;/a&gt;). Also included is a list of references from the associated literature review.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/data-interspecific-variation-persistence-buried-weed-seeds-follows-trade-offs-among-physiological-chemical-and-physical-seed-defenses/resource/3c6aebcf-8734-49ab-a71e-499f6e5428ff</describedBy><modified>2017-12-11</modified><spatial>POINT (-88.237799406052 40.051227686518)</spatial><identifier>a45623e4-53a0-4e31-aab9-178c35bdf66e</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>adam.davis@ars.usda.gov</emailAddress><fn>Davis, Adam</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Davis%20et%20al%202016_Seed%20Persistence_0.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/DataDictionary.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Life history changes in Trogoderma variabile and T. inclusum due to mating delay with implications for mating disruption as a management tactic</title><description>&lt;p&gt;Egg and progeny counts for Trogoderma variabile and Trogoderma inclusum adults with delays in mating. These data were generated to examine the effect of mating delay on life history and reproductive capacity as a cue to the use of mating disruption tactics such as pheromone lures. Survivorship was calculated as the last day egg counts were recorded for an individual. Blocks were adults that were all mated on the same day. Reps are an individual female. Control beetles are coded with either an "f" or an "m" for female and male and were never mated. Male control data was examined for similarity to female control data but was not used in further analysis and comparison. The experiment was all done at 30C, 65% relative humidity and a 16 light/8 dark photoperiod. Adults were transferred every 2 days to new vials and eggs were then counted and save for progeny counts. Trogoderma variabile populations were laboratory colonies for over 20 years. T. inclusum populations were collected in Kansas in August of 2012. We did not transform these data.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/data-life-history-changes-trogoderma-variabile-and-t-inclusum-due-mating-delay-implications-mating-disruption-management-tactic/resource/caca7d4f-5865-4f4b-b0e6-7f7c0ae2070f</describedBy><modified>2018-01-10</modified><identifier>a271ad75-5add-45f0-aa3b-9e1f0514771f</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>james.campbell@are.usda.gov</emailAddress><fn>Campbell, James</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/inclusum_mating_full_long.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/variabile_mating_full_long.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Data_Dictionary-Life_history_changes_Trogoderma.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Long-Term Agroecosystem Research in the Central Mississippi River Basin: Goodwater Creek Experimental Watershed and Regional Herbicide Water Quality Data </title><description>&lt;p&gt;The GCEW herbicide data were collected from 1991-2010, and are documented at plot, field, and watershed scales.&lt;/p&gt;
&lt;p&gt;Atrazine concentrations in Goodwater Creek Experimental Watershed (GCEW) were shown to be among the highest of any watershed in the United States based on comparisons using the national Watershed Regressions for Pesticides (WARP) model and by direct comparison with the 112 watersheds used in the development of WARP. This 20-yr-long effort was augmented with a spatially broad effort within the Central Mississippi River Basin encompassing 12 related claypan watersheds in the Salt River Basin, two cave streams on the fringe of the Central Claypan Areas in the Bonne Femme watershed, and 95 streams in northern Missouri and southern Iowa. The research effort on herbicide transport has highlighted the importance of restrictive soil layers with smectitic mineralogy to the risk of transport vulnerability. Near-surface soil features, such as claypans and argillic horizons, result in greater herbicide transport than soils with high saturated hydraulic conductivities and low smectitic clay content.&lt;/p&gt;
&lt;p&gt;The data set contains concentration, load, and daily discharge data for Devils Icebox Cave and Hunters Cave from 1999 to 2002. The data are available in Microsoft Excel 2010 format. Sheet 1 (Cave Streams Metadata) contains supporting information regarding the length of record, site locations, parameters measured, parameter units, method detection limits, describes the meaning of zero and blank cells, and briefly describes unit area load computations. Sheet 2 (Devils Icebox Concentration Data) contains concentration data from all samples collected from 1999 to 2002 at the Devils Icebox site for 12 analytes and two computed nutrient parameters. Sheet 3 (Devils Icebox SS Conc Data) contains 15-minute suspended sediment (SS) concentrations estimated from turbidity sensor data for the Devils Icebox site. Sheet 4 (Devils Icebox Load &amp;amp; Discharge Data) contains daily data for discharge, load, and unit area loads for the Devils Icebox site. Sheet 5 (Hunters Cave Concentration Data) contains concentration data from all samples collected from 1999 to 2002 at the Hunters Cave site for 12 analytes and two computed nutrient parameters. Sheet 6 (Hunters Cave SS Conc Data) contains 15-minute SS concentrations estimated from turbidity sensor data for the Hunters Cave site. Sheet 7 (Hunters Cave Load &amp;amp; Discharge Data) contains daily data for discharge, load, and unit area loads for the Hunters Cave site.&lt;/p&gt;
&lt;p&gt;[Note: To support automated data access and processing, each worksheet has been extracted as a separate, machine-readable CSV file; see Data Dictionary for descriptions of variables and their concentration units.]&lt;/p&gt;
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Robert</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/c3.jeq2013.12.0516.ds1_.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/LTAR_GCEW_herbicidewater_qual_0.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/DevilsIceboxConcData_0.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/DevilsIceboxLoad%26Discharge_0.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/DevilsIceboxSSConcData.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/HuntersCaveConcData_0.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/HuntersCaveLoad%26Discharge.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/HuntersCaveSSConc.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/LTAR_GCEW_herbicidewater_qual_3.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Metagenomic and near full-length 16S rRNA sequence data in support of the phylogenetic analysis of the rumen bacterial community in steers</title><description>&lt;p&gt;Amplicon sequencing utilizing next-generation platforms has significantly transformed how research is conducted, specifically microbial ecology. However, primer and sequencing platform biases can confound or change the way scientists interpret these data. The Pacific Biosciences RSII instrument may also preferentially load smaller fragments, which may also be a function of PCR product exhaustion during sequencing. To further examine theses biases, data is provided from 16S rRNA rumen community analyses. Specifically, data from the relative phylum-level abundances for the ruminal bacterial community are provided to determine between-sample variability. Direct sequencing of metagenomic DNA was conducted to circumvent primer-associated biases in 16S rRNA reads and rarefaction curves were generated to demonstrate adequate coverage of each amplicon. PCR products were also subjected to reduced amplification and pooling to reduce the likelihood of PCR product exhaustion during sequencing on the Pacific Biosciences platform. The taxonomic profiles for the relative phylum-level and genus-level abundance of rumen microbiota as a function of PCR pooling for sequencing on the Pacific Biosciences RSII platform were provided.&lt;/p&gt;
&lt;p&gt;Data is within this article and raw ruminal MiSeq sequence data is available from the NCBI Sequence Read Archive (SRA Accession SRP047292). Additional descriptive information is associated with NCBI BioProject PRJNA261425. &lt;a href="http://www.ncbi.nlm.nih.gov/bioproject/PRJNA261425/"&gt;http://www.ncbi.nlm.nih.gov/bioproject/PRJNA261425/&lt;/a&gt;&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-13</modified><identifier>593033f2-7fb2-4472-a110-6b69393a1728</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pmyer@utk.edu</emailAddress><fn>Myer, Phillip R.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://www.sciencedirect.com/science/article/pii/S2352340916304620</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ncbi.nlm.nih.gov/sra/SRX704260[accn]</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Microarray analysis of subcutaneous adipose tissue from mature cows with divergent body weight gain after feed restriction and realimentation</title><description>&lt;p&gt;Body weight response to periods of feed restriction and realimentation is critical and relevant to the agricultural industry. The purpose of this study was to evaluate differentially expressed genes identified in subcutaneous adipose tissue collected from cows divergent in body weight (BW) gain after feed restriction and realimentation. We compared adipose samples from cows with greater gain based on average daily gain (ADG) during realimentation with samples from cows with lesser gain. Specifically, there were four comparisons including two comparing the high and low gain animals across each feeding period (feed restriction and realimentation) and two that compared differences in feed restriction and realimentation across high or low gain classifications. Using microarray analysis, we provide a set of differentially expressed genes identified between the high and low gain at both periods of nutrient restriction and realimentation. These data identify multiple differentially expressed genes between these two phenotypes across both nutritional environments.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-14</modified><identifier>1342f7f0-9439-4061-816c-d1b77b738256</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Amanda.Lindholm@ars.usda.gov</emailAddress><fn>Lindholm-Perry, Amanda K.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE94746</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.sciencedirect.com/science/article/pii/S2352340917305334</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Pathogen webs in collapsing honey bee colonies</title><description>&lt;p&gt;Here we explore the incidence and abundance of currently known honey bee pathogens in colonies suffering from Colony Collapse Disorder (CCD), otherwise weak colonies, and strong colonies from across the United States. This data set was generated in order to use deep RNA sequencing to further characterize microbial diversity in CCD and non-CCD hives. We identified novel strains of the recently described Lake Sinai viruses (LSV) and found evidence of a shift in gut bacterial composition that may be a biomarker of CCD. The results are discussed with respect to host-parasite interactions and other environmental stressors of honey bees.&lt;/p&gt;
&lt;p&gt;RNA was pooled by combining equal aliquots from each CCD or non-CCD colony described above. Five µg of RNA from the “CCD−” pool was used to generate cDNA using a cocktail of random heptamer primers. cDNA was size-selected from agarose and end-polished with End Repair Enzyme (Illumina) following manufacturer protocols. A 3′ polyadenine tract was then added with Klenow fragment (Invitrogen) and the products purified with a Qiaquick DNA purification column (Qiagen). Illumina adapters were ligated to cDNA with T4 DNA ligase and the products were amplified under the following thermocycler conditions: an initial denaturing step at 98°C for 30 seconds, followed by 14 cycles at 98°C for 30 seconds, 65°C for 30 seconds, and 72°C for 30 seconds. Final products of 100–300 bp were size-selected from agarose and sequenced on an Illumina Genome Analyzer by the Institute for Genome Sciences, University of Maryland, Baltimore.&lt;/p&gt;
&lt;p&gt;Equivalently prepared cDNA from the “CCD+” pool was sequenced using a paired-end strategy with a 350-bp fragment size. A paired-end approach facilitates the assembly of longer contigs, and therefore may provide more diagnostic sequences for annotation, but at a cost of reduced read length (67 bp). Both sequencing runs were quality-trimmed by retaining only the longest contiguous sequence of each read with a minimum (Phred-equivalent) quality score of 15, excepting at most one ambiguous base. Reads less than 50 bp after this trimming step were discarded. A small number of reads were removed because they matched Illumina primer sequence in the Univec database (&lt;a href="http://www.ncbi.nlm.nih.gov/VecScreen/UniVec.html"&gt;www.ncbi.nlm.nih.gov/VecScreen/UniVec.html&lt;/a&gt;).&lt;/p&gt;
&lt;p&gt;Reads were assembled into contigs using the Velvet assembly package [24]. CCD− reads were assembled into contigs using multiple iterations of Velvet with successive hash lengths of 21, 31, 41, 51, or 61. Contigs of less than 100 bp or with less than 3X coverage were discarded. This assembly strategy was chosen to accommodate the broad spectrum of RNA sources in the sample (viruses, a diverse bacterial community, and eukaryotic pathogens as well as the host genome) that are likely to have different optimal hash lengths for assembly. CCD+ reads were assembled in a similar fashion without read-pair information; in addition, a single paired-end assembly was performed with Velvet using a hash length of 21 and an expected fragment length of 350. Contigs from all intermediate assemblies were then merged using the BlastClust component of Basic Local Alignment Search Tool (BLAST) at 98% identity and 90% nonreciprocal overlap. Because there was substantial redundancy of contigs remaining after this step, we input the contigs to CAP3 [25] for more aggressive assembly, requiring a 60-bp overlap with 92% identity. Raw reads are available as accessions SRX028143 and SRX028145 of the National Center for Biotechnology Information (NCBI) Sequence Read Archive, however, the resulting contigs were not submitted because of an NCBI policy against hosting assemblies from mixed sources.&lt;/p&gt;
&lt;p&gt;Highlight photo credit:&lt;a href="http://www.ars.usda.gov/is/graphics/photos/may12/d2368-2.htm"&gt;Image D2368-2 - Honey bee landing on a watermelon flower:&lt;/a&gt; Copyright free, public domain photo by Stephen Ausmus&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-11</modified><identifier>553355a2-d155-4445-96cb-961b75fbf38c</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jay.evans@ars.usda.gov</emailAddress><fn>Evans, Jay D.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://www.ars.usda.gov/oc/br/ccd/index/</references><distribution><downloadURL>http://journals.plos.org/plosone/article/asset?unique&amp;id=info:doi/10.1371/journal.pone.0043562.s003</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Population dynamics of an invasive forest insect and associated natural enemies in the aftermath of invasion</title><description>&lt;p&gt;Datasets archived here consist of all data analyzed in Duan et al. 2015 from Journal of Applied Ecology. Specifically, these data were collected from annual sampling of emerald ash borer (&lt;em&gt;Agrilus planipennis&lt;/em&gt;) immature stages and associated parasitoids on infested ash trees (&lt;em&gt;Fraxinus&lt;/em&gt;) in Southern Michigan, where three introduced biological control agents had been released between 2007 - 2010. Detailed data collection procedures can be found in Duan et al. 2012, 2013, and 2015.&lt;/p&gt;
</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>https://data.nal.usda.gov/dataset/data-population-dynamics-invasive-forest-insect-and-associated-natural-enemies-aftermath-invasion/resource/5cdb446e-891c-4100-b457-baff8438351c</describedBy><modified>2018-01-03</modified><spatial>MULTIPOLYGON (((-84.7742 43.4685, -84.6099 43.4685, -84.3689 43.4685, -84.3689 43.129, -84.3689 43.118, -84.7194 43.118, -84.8344 43.118, -84.8454 43.4685))), MULTIPOLYGON (((-83.9417 43.1344, -83.9307 43.1344, -83.9253 42.7784, -84.1608 42.7784, -84.2703 42.7784, -84.3634 42.7784, -84.3689 43.118, -84.3689 43.129))), MULTIPOLYGON (((-84.2703 42.7784, -84.1608 42.7784, -84.1389 42.4224, -84.5989 42.4224, -84.6044 42.7675, -84.3634 42.7784)))</spatial><identifier>cbb5cbd5-d6ad-4bd2-af1c-8fb319cebd21</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jian.Duan@ARS.USDA.GOV</emailAddress><fn>Duan, Jian J.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/AshBorerAnd%20Parasitoids_DataDictionary.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/READ_ME_for_Emerald_Ash_Borer_Biocontrol_Study_from_Journal_of_Applied_Ecology.docx</downloadURL><format>docx</format><mediaType>application/vnd.openxmlformats-officedocument.wordprocessingml.document</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/DUAN%20J%20Data%20on%20EAB%20Life%20Tables%20%20Calculation%20from%20Journal%20of%20Applied%20Ecology.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Duan%20J%20Data%20on%20EAB%20larval%20density-bird%20predation%20and%20unknown%20factor%20from%20Journal%20of%20Applied%20Ecology_1.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/DUAN%20J%20Data%20on%20Parasitism%20L1-L2%20Excluded%20from%20Journal%20of%20Applied%20Ecology.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Pyrosequencing-Based Analysis of the Microbiome Associated with the Horn Fly, Haematobia irritans</title><description>&lt;p&gt;The bacterial 16S tag-encoded FLX-titanium amplicon pyrosequencing (bTEFAP) method was used to carry out the classification analysis of bacterial flora in adult female and male horn flies and horn fly eggs.&lt;/p&gt;
&lt;p&gt;The bTEFAP method identified 16S rDNA sequences in our samples which allowed the identification of various prokaryotic taxa associated with the life stage examined. This is the first comprehensive report of bacterial flora associated with the horn fly using a culture-independent method. Several rumen, environmental, symbiotic and pathogenic bacteria associated with the horn fly were identified and quantified. This is the first report of the presence of Wolbachia in horn flies of USA origin and is the first report of the presence of Rikenella in an obligatory blood feeding insect.&lt;/p&gt;
&lt;p&gt;Adult horn flies were collected on a single date from pastured cattle at the Louisiana State University Agricultural Center, St. Gabriel Research Station using aerial nets. Within 1 h after collection the flies were transferred to large sterile Erlenmeyer flasks and maintained in total darkness for 1.5 h and 30°C to allow flies to oviposit on the flask bottom [73]. Adult flies were released from the flasks into a cage and eggs were collected by rinsing with distilled water onto a filter paper. Both the eggs and adult flies were frozen at −80°C. To preserve nucleic acid integrity, adults were sexed on dry ice prior to freezing. Each sample used for DNA extraction and pyrosequencing consisted of 5 adult males, 5 adult females or 50 eggs pooled together and homogenized. Three replicates of adult male, adult female and eggs were analyzed.&lt;/p&gt;
&lt;p&gt;The horn fly, Haematobia irritans, is one of the most economically important pests of cattle. Insecticides have been a major element of horn fly management programs. Growing concerns with insecticide resistance, insecticide residues on farm products, and non-availability of new generation insecticides, are serious issues for the livestock industry. Alternative horn fly control methods offer the promise to decrease the use of insecticides and reduce the amount of insecticide residues on livestock products and give an impetus to the organic livestock farming segment. The horn fly, an obligatory blood feeder, requires the help of microflora to supply additional nutrients and metabolize the blood meal. Recent advancements in DNA sequencing methodologies enable researchers to examine the microflora diversity independent of culture methods.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/data-pyrosequencing-based-analysis-microbiome-associated-horn-fly-haematobia-irritans-2</describedBy><modified>2017-11-17</modified><identifier>16b7a357-230a-4abd-b8df-3677505f77b0</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>nambibio@gmail.com</emailAddress><fn>Palavesam, Azhahianambi</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>http://dx.doi.org/10.1371/journal.pone.0044390.t001, http://dx.doi.org/10.1371/journal.pone.0044390.t002, http://dx.doi.org/10.1371/journal.pone.0044390.t003, http://dx.doi.org/10.1371/journal.pone.0044390.g001, http://dx.doi.org/10.1371/journal.pone.0044390.g002, http://dx.doi.org/10.1371/journal.pone.0044390.g003, http://dx.doi.org/10.1371/journal.pone.0044390.g004, http://dx.doi.org/10.1371/journal.pone.0044390.g005, http://dx.doi.org/10.1371/journal.pone.0044390.g006, http://dx.doi.org/10.1371/journal.pone.0044390.g007, http://dx.doi.org/10.1371/journal.pone.0044390.g008, http://dx.doi.org/10.1371/journal.pone.0044390.g009</references><distribution><downloadURL>http://journals.plos.org/plosone/article/asset?unique&amp;id=info:doi/10.1371/journal.pone.0044390.s001</downloadURL><format>xls</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://journals.plos.org/plosone/article/asset?unique&amp;id=info:doi/10.1371/journal.pone.0044390.s002</downloadURL><format>jpg</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/journal.pone_.0044390.s001.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/HornFlyMicrobiome_DataDictionary.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Retrospective Analysis of a Classical Biological Control Program</title><description>&lt;p&gt;Life Table Data: Field-based, partial life table data for immature stages of &lt;em&gt;Bemisia tabaci&lt;/em&gt; on cotton in Maricopa, Arizona, USA. Data were generated on approximately 200 individual insects per cohort with 2-5 cohorts per year for a total of 44 cohorts between 1997 and 2010. Data provide the marginal, stage-specific rates of mortality for eggs, and 1st, 2nd, 3rd, and 4th instar nymphs. Mortality is characterized as caused by inviability (eggs only), dislodgement, predation, parasitism and unknown. Detailed methods can be found in Naranjo and Ellsworth 2005 (&lt;em&gt;Entomologia Experimentalis et Applicata&lt;/em&gt; 116(2): 93-108). The method takes advantage of the sessile nature of immature stages of this insect. Briefly, an observer follows individual eggs or settled first instar nymphs from natural populations on the underside of cotton leaves in the field with a hand lens and determines causes of death for each individual over time. Approximately 200 individual eggs and nymphs are observed for each cohort. Separately, densities of eggs and nymphs are monitored with standard methods (Naranjo and Flint 1994, &lt;em&gt;Environmental Entomology&lt;/em&gt; 23: 254-266; Naranjo and Flint 1995, &lt;em&gt;Environmental Entomology&lt;/em&gt; 24: 261-270) on a weekly basis.&lt;/p&gt;
&lt;p&gt;Matrix Model Data: Life table data were used to provide parameters for population matrix models. Matrix models contain information about stage-specific rates for development, survival and reproduction. The model can be used to estimate overall population growth rate and can also be analyzed to determine which life stages contribute the most to changes in growth rates.&lt;/p&gt;
</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1W</accrualPeriodicity><describedBy>https://data.nal.usda.gov/dataset/data-retrospective-analysis-classical-biological-control-program/resource/ca9c83cb-9f1a-484a-9f97-05e35441e59f</describedBy><modified>2017-12-11</modified><spatial>POLYGON ((-471.99578189728 33.08774707887, -471.99578189728 33.104429079193, -471.97432422516 33.104429079193, -471.97432422516 33.08774707887))</spatial><identifier>be943d9a-84b7-406c-ba56-6f13f753ebcd</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>steve.naranjo@ars.usda.gov</emailAddress><fn>Naranjo, Steve</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/LifeTableData.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/MatrixModelData.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/LifeTableData_0.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/DataDictionary_LifeTableData.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Shoot transcriptome of the giant reed, Arundo donax</title><description>&lt;p&gt;The giant reed, &lt;em&gt;Arundo donax&lt;/em&gt;, is a perennial grass species that has become an invasive plant in many countries. Expansive stands of &lt;em&gt;A. donax&lt;/em&gt; have significant negative impacts on available water resources and efforts are underway to identify biological control agents against this species. The giant reed grows under adverse environmental conditions, displaying insensitivity to drought stress, flooding, heavy metals, salinity and herbaceous competition, thus hampering control programs. To establish a foundational molecular dataset, we used an llumina Hi-Seq protocol to sequence the transcriptome of actively growing shoots from an invasive genotype collected along the Rio Grande River, bordering Texas and Mexico. We report the assembly of 27,491 high confidence transcripts (≥200 bp) with at least 70% coverage of known genes in other Poaceae species. Of these 13,080 (47.58%), 6165 (22.43%) and 8246 (30.0%) transcripts have sequence similarity to known, domain-containing and conserved hypothetical proteins, respectively. We also report 75,590 low confidence transcripts supported by both trans-ABBySS and Velvet-Oases &lt;em&gt;de novo&lt;/em&gt; assembly pipelines. Within the low confidence subset of transcripts we identified partial hits to known (19,021; 25.16%), domain-containing (7093; 9.38%) and conserved hypothetical (16,647; 22.02%) proteins. Additionally 32,829 (43.43%) transcripts encode putative hypothetical proteins unique to A. donax. Functional annotation resulted in 5,550 and 6,070 transcripts with assigned Gene Ontology and KEGG pathway information, respectively. The most abundant KEGG pathways are spliceosome, ribosome, ubiquitin mediated proteolysis, plant–pathogen interaction, RNA degradation and oxidative phosphorylation metabolic pathway. Furthermore, we also found 12, 9, and 4 transcripts annotated as stress-related, heat stress, and water stress proteins, respectively. It is envisaged that these resources will promote and facilitate studies of the abiotic stress capabilities of this exotic plant species, which facilitates its invasive capacity. Supplemental Excel data files with the article detail functional annotation of Arundo donax high confidence and low confidence genes. Data are also available at &lt;a href="http://www.ncbi.nlm.nih.gov/GBRH01000000"&gt;http://www.ncbi.nlm.nih.gov/GBRH01000000&lt;/a&gt; . The assembled and annotated A. donax USA genotype Rio Grande RNA transcriptome has been deposited at DDBJ/EMBL/GenBank under the project accession PRJNA256910.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2018-01-19</modified><identifier>10221330-e3fd-4afc-9373-6cced6854688</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>mbellgard@ccg.murdoch.edu.au</emailAddress><fn>Bellgard, Matthew I.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.sciencedirect.com/science/article/pii/S2352340914000377</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Short- and long-term changes in sugarbeet (Beta vulgaris L.) gene expression due to postharvest jasmonic acid treatment - Data</title><description>&lt;p&gt;Jasmonic acid is a natural plant hormone that induces native defense responses in plants. Sugarbeet (&lt;em&gt;Beta vulgari&lt;/em&gt;s L.) root unigenes that were differentially expressed 2 and 60 days after a postharvest jasmonic acid treatment are presented. Data include changes in unigene expression relative to water-treated controls, unigene annotations against nonredundant (Nr), Swiss-Prot, Clusters of Orthologous Groups (COG), and Kyoto Encyclopedia of Genes and Genomes (KEGG) protein databases, and unigene annotations with Gene Ontology (GO) terms. Putative defense unigenes are compiled and annotated against the sugarbeet genome. Differential gene expression data were generated by RNA sequencing. Interpretation of the data is available in the research article, "Jasmonic acid causes short- and long-term alterations to the transcriptome and the expression of defense genes in sugarbeet roots" (K.K. Fugate, et al., &lt;em&gt;Plant Gene&lt;/em&gt; 9:50-63)&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-15</modified><identifier>fa67cc76-90cb-4016-b489-4ae57943a0e4</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>karen.fugate@ars.usda.gov</emailAddress><fn>Fugate, Karen Klotz</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.sciencedirect.com/science/article/pii/S2352340917300276</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Solving the Robot-World Hand-Eye(s) Calibration Problem with Iterative Methods</title><description>&lt;p&gt;These datasets were generated for calibrating robot-camera systems. In an extension, we also considered the problem of calibrating robots with more than one camera.&lt;/p&gt;
&lt;p&gt;These datasets are provided as a companion to the paper "Solving the Robot-World Hand-Eye(s) Calibration Problem with Iterative Methods" by Amy Tabb and Khalil M. Ahmad Yousef.&lt;/p&gt;
&lt;p&gt;Included are eight datasets in zipped files, numbered DS1.zip, DS2.zip, etc.&lt;/p&gt;
&lt;p&gt;Explanations of the format of the datasets is provided in the README resource in the file "README_input_format.txt". Generally, each zipped folder consists of images and a text file of robot positions when those images were acquired.&lt;/p&gt;
&lt;p&gt;Open source code can be found at:&lt;br /&gt;
&lt;a href="https://github.com/amy-tabb/RWHEC-Tabb-AhmadYousef"&gt;https://github.com/amy-tabb/RWHEC-Tabb-AhmadYousef&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;We also include the results of using our code on one of the datasets so that you can be sure that the code worked correctly. This folder is named DS1_write.zip and can be found in the resource titled "Output from running methods on Dataset 1".&lt;/p&gt;
&lt;p&gt;Problems/Comments/Bugs should be addressed to &lt;a href="mailto:amy.tabb@ars.usda.gov"&gt;amy.tabb@ars.usda.gov&lt;/a&gt;&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-11</modified><identifier>5a04e5f9-caf8-4219-918b-8e482ad74cf2</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>amy.tabb@ars.usda.gov</emailAddress><fn>Tabb, Amy</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://github.com/amy-tabb/RWHEC-Tabb-AhmadYousef</references><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/README_input_format.txt.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/DS1.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/DS2.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/DS3.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/DS4.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/DS5.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/DS6.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/DS7.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/DS8.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/DS1_write.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: The testes transcriptome of the New World Screwworm, Cochliomyia hominivorax</title><description>&lt;p&gt;The New World Screwworm (NWS), &lt;em&gt;Cochliomyia hominivorax&lt;/em&gt;, is a pest insect that is endemic to subtropical and tropical regions of the Western Hemisphere. The female lays eggs in open wounds or orifices of warm-blooded animals. Upon hatching, the resulting larvae feed upon the host's living tissues, which can become infected and death can occur. The sterile insect technique was developed to eradicate this pest from North America and new female conditional-lethal strains that generate only male individuals are being developed for use in the eradication program. To facilitate the identification of useful transcripts and gene promoters for these new strains, an Illumina Hi-Seq protocol was used to sequence the testes transcriptome of NWS. This study reports the assembly of 4149 transcripts (≥200 nt) from testes dissected from NWS males obtained from the J06 strain used in the screwworm production plant in Pacora, Panama. Functional annotation resulted in 2060, 2031, 558, and 325 transcripts with assigned BlastX, Gene Ontology, Enzyme Codes, and KEGG pathway information, respectively. In the Gene Ontology annotations, 6% and 3% of the transcripts in the Biological Process Ontology were noted as Developmental Process and Reproduction, respectively. Supplementary data includes FastA sequences of the final assembled dataset contigs and a table of Functional annotation information for the NWS testes transcripts. This dataset will serve as a resource to facilitate studies of sex determination in the NWS and the development of recombinant vectors that can be used to create new male-only strains of NWS.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2018-01-18</modified><identifier>b3d33ffc-e223-482b-ab07-d00a95e31bb1</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Felix.Guerrero@ars.usda.gov</emailAddress><fn>Guerrero, Felix David</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.sciencedirect.com/science/article/pii/S2352340916306862</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Transcriptomes of bovine ovarian follicular and luteal cells</title><description>&lt;p&gt;Affymetrix Bovine GeneChip® Gene 1.0 ST Array RNA expression analysis was performed on four somatic ovarian cell types: the granulosa cells (GCs) and theca cells (TCs) of the dominant follicle and the large luteal cells (LLCs) and small luteal cells (SLCs) of the corpus luteum. The normalized linear microarray data was deposited to the NCBI GEO repository (GSE83524). Subsequent ANOVA determined genes that were enriched (≥2 fold more) or decreased (≤−2 fold less) in one cell type compared to all three other cell types, and these analyzed and filtered datasets are presented as tables. Genes that were shared in enriched expression in both follicular cell types (GCs and TCs) or in both luteal cells types (LLCs and SLCs) are also reported in tables. The standard deviation of the analyzed array data in relation to the log of the expression values is shown as a figure. These data have been further analyzed and interpreted in the companion article "Gene expression profiling of ovarian follicular and luteal cells provides insight into cellular identities and functions", Romereim et al., (2017) &lt;em&gt;Mol. Cell. Endocrinol.&lt;/em&gt; 439:379-394. &lt;a href="https://doi.org/10.1016/j.mce.2016.09.029"&gt;https://doi.org/10.1016/j.mce.2016.09.029&lt;/a&gt;&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-15</modified><identifier>3644235c-5614-4dd4-9c83-0986970ddb5a</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>acupp2@unl.edu</emailAddress><fn>Cupp, Andrea S.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://www.sciencedirect.com/science/article/pii/S2352340916307533</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE83524</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Transcriptomic and bioinformatics analysis of the early time-course of the response to prostaglandin F2 alpha in the bovine corpus luteum</title><description>&lt;p&gt;RNA expression analysis was performed on the corpus luteum tissue at five time points after prostaglandin F2 alpha treatment of midcycle cows using an Affymetrix Bovine Gene v1 Array. The normalized linear microarray data was uploaded to the NCBI GEO repository (GSE94069). Subsequent statistical analysis determined differentially expressed transcripts ± 1.5-fold change from saline control with P ≤ 0.05. Gene ontology of differentially expressed transcripts was annotated by DAVID and Panther. Physiological characteristics of the study animals are presented in a figure. Bioinformatic analysis by Ingenuity Pathway Analysis was curated, compiled, and presented in tables. A dataset comparison with similar microarray analyses was performed and bioinformatics analysis by Ingenuity Pathway Analysis, DAVID, Panther, and String of differentially expressed genes from each dataset as well as the differentially expressed genes common to all three datasets were curated, compiled, and presented in tables. Finally, a table comparing four bioinformatics tools' predictions of functions associated with genes common to all three datasets is presented. These data have been further analyzed and interpreted in the companion article "Early transcriptome responses of the bovine mid-cycle corpus luteum to prostaglandin F2 alpha includes cytokine signaling".&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-12</modified><identifier>54970c1d-502d-4c10-8a4f-52ae290cb61d</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jsdavis@unmc.edu</emailAddress><fn>Davis, John S.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE94069</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.sciencedirect.com/science/article/pii/S2352340917304031?via%3Dihub#s0070</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Transcriptomic and functional resources for the Small Hive Beetle Aethina tumida, a worldwide parasite of honey bees</title><description>&lt;p&gt;Supplemental information from a project describing the transcriptome of a beetle parasite of honey bees&lt;/p&gt;
&lt;p&gt;The small hive beetle (SHB), Aethina tumida, is a major pest of managed honey bee (Apis mellifera) colonies in the United States and Australia, and an emergent threat in Europe. While strong honey bee colonies generally keep SHB populations in check, weak or stressed colonies can succumb to infestations. This parasite has spread from a sub-Saharan Africa to three continents, leading to immense management and regulatory costs. We performed a transcriptomic analysis involving deep sequencing of multiple life stages and both sexes of this species. The assembled transcriptome appears to be nearly complete, as judged by conserved insect orthologs and the ability to find plausible homologs for 11,952 proteins described from the genome of the red flour beetle. Expressed genes include each of the major metabolic, developmental and sensory groups, along with genes for proteins involved with immune defenses and insecticide resistance. We also present a total of 23,085 high-quality SNP's for the assembled contigs. We highlight potential differences between this beetle and its honey bee hosts, and suggest mechanisms of future research into the biology and control of this species. SNP resources will allow functional genetic analyses and analyses of dispersal for this invasive pest.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-08-31</modified><identifier>643a62fc-8991-4760-b4b3-f1c80c307efb</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jay.evans@ars.usda.gov</emailAddress><fn>Evans, Jay</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/SHB_SuppTable3.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/SHB_SuppTable2.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/SHB_SuppTable1.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data from: Variation in genome size and karyotype among closely-related aphid parasitoids (Hymenoptera: Aphelinidae)</title><description>&lt;p&gt;We measured genome sizes and determined the karyotypes of nine species of aphid parasitoids in the genus Aphelinus. We found large differences in genome size and karyotype between Aphelinus species, which is surprising given the similarity in their morphology and life history. Genome sizes estimated from flow cytometry were larger for species in the mali complex than those for the species in the daucicola and varipes complexes. Haploid karyotypes of the daucicola and mali complexes comprised five metacentric chromosomes of similar size, whereas those of the varipes complex had four chromosomes, including a larger and a smaller metacentric chromosome and two small acrocentric chromosomes or a large metacentric and three smaller acrocentric chromosomes. Total lengths of female haploid chromosome sets correlated with genome sizes estimated from flow cytometry. Phylogenetic analysis of karyotypic variation revealed a chromosomal fusion together with pericentric inversions in the common ancestor of the varipes complex and further pericentric inversions in the clade comprising Aphelinus kurdjumovi and Aphelinus hordei. Fluorescence in situ hybridization with a 28S ribosomal DNA probe revealed a single site on chromosomes of the haploid karyotype of Aphelinus coreae. The differences in genome size and total chromosome length between species complexes matched the phylogenetic divergence between them.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Materials and Methods&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Specimens&lt;/strong&gt;&lt;br /&gt;
The parasitoid species studied and the sources of the colonies are listed in the data file "&lt;a href="https://data.nal.usda.gov/dataset/data-variation-genome-size-and-karyotype-among-closely-related-aphid-parasitoids-0"&gt;Aphelinus_species_studied.csv&lt;/a&gt;". These colonies were reared on aphids at the USDA-ARS, Beneficial Insect Introductions Research Unit, in Newark, Delaware, USA. Females of the yellow-white strain of Drosophila melanogaster (Meigen, 1830) (stock number 1495, obtained from the Bloomington Drosophila Stock Center at Indiana University, &lt;a href="http://flystocks.bio.indiana.edu"&gt;http://flystocks.bio.indiana.edu&lt;/a&gt;) were used as internal controls for flow cytometry. All institutional and national guidelines for the care and use of laboratory animals were followed.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Flow cytometry&lt;/strong&gt;&lt;br /&gt;
Live Aphelinus were sexed, flash frozen in liquid nitrogen, and stored at −80°C. To estimate genome sizes, we used the flow cytometry protocol described by Hanrahan and Johnston (2011) and Hare and Johnston (2011). We dissected heads from both males and females of the Aphelinus species in cold Galbraith buffer (Galbraith et al. 1983). Heads of female D. melanogaster were used as internal standards (1C = 175 Mb or 0.17 pg). To release the nuclei from cells, 15 female Aphelinus heads and one female Drosophila head, were ground together in one milliliter of cold Galbraith buffer using 15 strokes of the "A" pestle in a 2-ml Kontes Dounce tissue grinder. Three to six replicates were done for females and males of each species, but because male genome sizes were too close to that of Drosophila, we used heads from females of the same parasitoid species as internal standards for males. The samples were passed through a 35 micron filter and then stained with 40 parts per million of propidium iodide in the dark for 3-5 hours at 4°C. Samples were analyzed on a Becton Dickinson FACSCalibur Flow Cytometer with laser excitation at 488 nm. Red fluorescence from the propidium iodide was detected using an FL2 filter. The haploid content of DNA in megabases (Mb) was calculated for each Aphelinus sample from the ratio of mean fluorescence of the sample to mean fluorescence of the standard times the genome size of the standard. We report genome size estimates in megabases, but also give estimates in picograms (pg) calculated by dividing the amount of DNA in Mb by the standard 1C value of 978 Mb.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Karyotypes&lt;/strong&gt;&lt;br /&gt;
Chromosome preparations were made from cerebral ganglia of prepupae using a modified version of the technique in Imai et al. (1988). Wasps were dissected in 0.5% hypotonic sodium citrate solution containing 0.005% colchicine, and the tissues were incubated in fresh solution for ~30 minutes at room temperature. The material was transferred to a pre-cleaned microscope slide using a Pasteur pipette and gently flushed with Fixative I (glacial acetic acid: absolute ethanol: distilled water 3:3:4). Tissues were disrupted in an additional drop of Fixative I using dissecting needles. Another drop of Fixative II (glacial acetic acid: absolute ethanol 1:1) was then applied to the center of the area and blotted off the edges of the slide. The slide was air dried for ~30 minutes at room temperature. For conventional staining, preparations were stained with freshly prepared 3% Giemsa solution in 0.05M Sørensen's phosphate buffer (Na2HPO4 + KH2PO4, pH 6.8). Mitotic divisions were studied and photographed using an optic microscope Zeiss Axioskop 40 FL fitted with a digital camera AxioCam MRc (Carl Zeiss, Oberkochen, Germany). To obtain karyograms, the resulting images were processed with image analysis programs: Zeiss AxioVision version 3.1 and Adobe Photoshop version 8.0. Mitotic chromosomes were measured for 5-19 cells in 1-4 wasps per species using Adobe Photoshop. We report total length of all chromosomes in each karyotype; for diploid sets, we divided total length by two to make the values comparable to haploid sets. We also report relative lengths (RL; 100 x length of each chromosome divided by total length of the set) and centromeric indices (CI; 100 x length of shorter arm divided by total length of a chromosome). Chromosomes were classified into metacentric (M) or acrocentric (A) according to the guidelines in Levan et al. (1964).&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-11</modified><identifier>ac7aeeba-b725-4f1e-b76d-9473ab86112b</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Keith.Hopper@ars.usda.gov</emailAddress><fn>Hopper, Keith</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Aphelinus_species_studied.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Aphelinus_flow_cytometry_genome_sizes.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Aphelinus_karyotypes_total_lengths.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Aphelinus_karyotypes_relative_length_centromeric_index.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Dietary Supplement Ingredient Database</title><description>The Dietary Supplement Ingredient Database (DSID) is a collaborative venture with the NIH Office of Dietary Supplements, the US Department of Agriculture and other federal agencies to provide analytically-derived estimates of ingredients in dietary supplements. Release 2 of the DSID reports national estimates for vitamins and minerals in adult and children's multivitamins (MVMs) ( http://dsid.usda.nih.gov). For the DSID studies, representative supplement products are identified, sampled and analyzed by experienced laboratories. In order to obtain accurate results, a quality assurance and quality control plan are established for each study, with standard reference materials, in-house control materials and product duplicate results assessed before product data are accepted as final. Laboratory data are then statistically evaluated by ingredient and weighted by market share information, if available. For the MVM studies released in DSID-2, data are reported by ingredient across a range of labeled levels. Results are predicted by regression and estimate mean percent differences from label and standard errors at these labeled levels. These data can be used by researchers to more accurately quantify nutrient intake from dietary supplements.</description><accessLevel>public</accessLevel><accrualPeriodicity>irregular</accrualPeriodicity><describedBy>http://dsid.usda.nih.gov/dsid_database/DataFileDescription3-22-12.pdf</describedBy><issued>2009-05-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>contiguous United States</spatial><temporal>2003/2008</temporal><identifier>USDA-ARS-00009</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>joel.palachuvattil@ars.usda.gov</emailAddress><fn>Joel Palachuvattil</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://dsid.usda.nih.gov/research_summary.html</references><distribution><downloadURL>http://dsid.usda.nih.gov/dsid_database/DSID3CombinedDataFiles.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.ms-excel</mediaType><title>DSID 3 all data</title><type>dcat:Distribution</type></distribution><distribution><accessURL>http://dsid.usda.nih.gov/dsid3data.html</accessURL><title>DSID landing page for specific datasets</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Dr. Duke&amp;#039;s Phytochemical and Ethnobotanical Databases</title><description>&lt;p&gt;Of interest to pharmaceutical, nutritional, and biomedical researchers, as well as individuals and companies involved with alternative therapies and and herbal products, this database is one of the world's leading repositories of ethnobotanical data, evolving out of the extensive compilations by the former Chief of USDA's Economic Botany Laboratory in the Agricultural Research Service in Beltsville, Maryland, in particular his popular &lt;em&gt;Handbook of phytochemical constituents of GRAS herbs and other economic plants&lt;/em&gt; (CRC Press, Boca Raton, FL, 1992). In addition to Duke's own publications, the database documents phytochemical information and quantitative data collected over many years through research results presented at meetings and symposia, and findings from the published scientific literature.&lt;/p&gt;
&lt;p&gt;The current Phytochemical and Ethnobotanical databases facilitate plant, chemical, bioactivity, and ethnobotany searches. A large number of plants and their chemical profiles are covered, and data are structured to support browsing and searching in several user-focused ways. For example, users can&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;get a list of chemicals and activities for a specific plant of interest, using either its scientific or common name&lt;/li&gt;
&lt;li&gt;download a list of chemicals and their known activities in PDF or spreadsheet form&lt;/li&gt;
&lt;li&gt;find plants with chemicals known for a specific biological activity&lt;/li&gt;
&lt;li&gt;display a list of chemicals with their LD toxicity data&lt;/li&gt;
&lt;li&gt;find plants with potential cancer-preventing activity&lt;/li&gt;
&lt;li&gt;display a list of plants for a given ethnobotanical use&lt;/li&gt;
&lt;li&gt;find out which plants have the highest levels of a specific chemical&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;References to the supporting scientific publications are provided for each specific result. Also included are links to nutritional databases, plants and cancer treatments and other plant-related databases.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/dr-dukes-phytochemical-and-ethnobotanical-databases/resource/be29e296-4067-4eb2-952f-89ab0a2aa531</describedBy><modified>2017-12-12</modified><identifier>4f888467-ee45-4f97-b56f-66b65a00401e</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>NAL-ADC-Curator@ars.usda.gov</emailAddress><fn>Parr, Cynthia</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://phytochem.nal.usda.gov</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Duke-Source-CSV.zip</downloadURL><format>csv</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/DrDukesDatabaseDataDictionary-prelim.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Eddy Covariance Data from Office of Naval Research Biofuel project on Maui</title><description>&lt;p&gt;These data come from three eddy covariance (EC) towers that were installed as part of a project to assess the productivity of sugarcane agricultural systems for biofuel production. These towers were operated from 2011-2013 in Maui, USA. Major observational parameters include net carbon exchange, evapotranspiration, and energy fluxes.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://ameriflux.lbl.gov/data/aboutdata/data-variables/</describedBy><modified>2017-12-11</modified><spatial>POINT (-156.44211262465 20.789700227985), POLYGON ((-156.44314259291 20.789459501165, -156.46116703749 20.78889780376, -156.46417111158 20.798847562558, -156.49602770805 20.815018281534, -156.49980425835 20.820794640073, -156.48916125298 20.830100529681, -156.4651286602 20.816622847783, -156.43182635307 20.802502078583))</spatial><identifier>068efbbc-e2f4-4789-a562-38c42d52fed0</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ray.anderson@ars.usda.gov</emailAddress><fn>Anderson, Ray G.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://ameriflux.lbl.gov/sites/siteinfo/US-SuS</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://ameriflux.lbl.gov/sites/siteinfo/US-SuW</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://ameriflux.lbl.gov/sites/siteinfo/US-SuM</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://ameriflux.lbl.gov/data/aboutdata/data-variables/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Expressed Sequence Tags from the Ciliate Protozoan Parasite Ichthyophthirius Multifiliis</title><description>&lt;p&gt;Researchers sequenced 10,368 expressed sequence tags (EST) clones using a normalized cDNA library made from pooled samples of the trophont, tomont, and theront life-cycle stages, and generated 9,769 sequences (94.2% success rate). Post-sequencing processing led to 8,432 high quality sequences. Clustering analysis of these ESTs allowed identification of 4,706 unique sequences containing 976 contigs and 3,730 singletons.&lt;/p&gt;
&lt;p&gt;The ciliate protozoan Ichthyophthirius multifiliis (Ich) is an important parasite of freshwater fish that causes 'white spot disease' leading to significant losses. A genomic resource for large-scale studies of this parasite has been lacking. To study gene expression involved in Ich pathogenesis and virulence, our goal was to generate ESTs for the development of a powerful microarray platform for the analysis of global gene expression in this species. Here, we initiated a project to sequence and analyze over 10,000 ESTs.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/expressed-sequence-tags-ciliate-protozoan-parasite-ichthyophthirius-multifiliis/resource-2</describedBy><modified>2017-12-21</modified><identifier>5cc7124c-29b3-423b-9456-699e5d508880</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>zliu@acesag.auburn.edu</emailAddress><fn>Liu, Zhanjiang </fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://static-content.springer.com/esm/art%3A10.1186%2F1471-2164-8-176/MediaObjects/12864_2006_889_MOESM1_ESM.xls</downloadURL><format>xls</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://static-content.springer.com/esm/art%3A10.1186%2F1471-2164-8-176/MediaObjects/12864_2006_889_MOESM2_ESM.xls</downloadURL><format>xls</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://static-content.springer.com/esm/art%3A10.1186%2F1471-2164-8-176/MediaObjects/12864_2006_889_MOESM3_ESM.xls</downloadURL><format>xls</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/IchthyophthiriusESTs_DataDictionary_0.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Feed the Future Grain Legumes Project Database</title><description>&lt;p&gt;Data from this project focuses on the evaluation of breeding lines. Significant progress was made in advancing breeding populations directed towards release of improved varieties in Tanzania. Thirty promising F4:7, 1st generation 2014 PIC (Phaseolus Improvement Cooperative) and ~100 F4:6, 2nd generation 2015 PIC breeding lines were selected. In addition, ~300 F4:5, 3rd generation 2016 PIC single plant selections were completed in Arusha and Mbeya. These breeding lines, derived from 109 PIC populations specifically developed to combine abiotic and biotic stress tolerance, showed superior agronomic potential compared with checks and local landraces. The diversity, scale, and potential of the material in the PIC breeding pipeline is invaluable and requires continued support to ensure the release of varieties that promise to increase the productivity of common bean in the E. African region.&lt;/p&gt;
&lt;p&gt;Data available includes databases, spreadsheets, and images related to the project.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/feed-future-grain-legumes-project-database/resource/314ef1e1-9416-4afd-8e6e-717712e49f72</describedBy><modified>2017-11-27</modified><spatial>POLYGON ((33.903711 -0.95, 34.07262 -1.05982, 37.69869 -3.09699, 37.7669 -3.67712, 39.20222 -4.67677, 38.74054 -5.90895, 38.79977 -6.47566, 39.44 -6.84, 39.47 -7.1, 39.19469 -7.7039, 39.25203 -8.00781, 39.18652 -8.48551, 39.53574 -9.11237, 39.9496 -10.0984, 40.31659 -10.3171, 39.521 -10.89688, 38.427557 -11.285202, 37.82764 -11.26879, 37.47129 -11.56876, 36.775151 -11.594537, 36.514082 -11.720938, 35.312398 -11.439146, 34.559989 -11.52002, 34.28 -10.16, 33.940838 -9.693674, 33.73972 -9.41715, 32.759375 -9.230599, 32.191865 -8.930359, 31.556348 -8.762049, 31.157751 -8.594579, 30.74 -8.34, 30.2 -7.08, 29.62 -6.52, 29.419993 -5.939999, 29.519987 -5.419979, 29.339998 -4.499983, 29.753512 -4.452389, 30.11632 -4.09012, 30.50554 -3.56858, 30.75224 -3.35931, 30.74301 -3.03431, 30.52766 -2.80762, 30.46967 -2.41383, 30.758309 -2.28725, 30.816135 -1.698914, 30.419105 -1.134659, 30.76986 -1.01455, 31.86617 -1.02736, 33.903711 -0.95))</spatial><identifier>fefd3a5a-4762-485c-ad92-44932f5ad1cd</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>timothy.porch@ars.usda.gov</emailAddress><fn>Porch, Timothy G.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://arsftfbean.uprm.edu/bean/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://arsftfbean.uprm.edu/bean/?p=472</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://arsftfbean.uprm.edu/bean/?page_id=179</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://arsftfbean.uprm.edu/bean/?p=524</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://arsftfbean.uprm.edu/bean/?page_id=2</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/ADP-1_DD.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/ADP1-DB.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Flat Mites of the World</title><description>&lt;p&gt;Flat Mites of the World provides a portal to a variety of keys, images, and fact sheets to help support identification of this diverse, potentially destructive group of mites.&lt;/p&gt;
&lt;p&gt;In Flat Mites of the World Edition 2, you will find interactive keys, fact sheets, descriptions, and images to aid in the identification of flat mites (Acari: Trombidiformes: Tetranychoidea: Tenuipalpidae) from the United States and around the world. Please note that this tool is a work in progress! The newest edition of the tool, updated as of May 2013, will help identify the 38 genera of flat mites present throughout the world, including specific diagnostics for 20 species of Raoiella, 19 species of Brevipalpus, 3 species of Cenopalpus, Dolichotetranychus floridanus, Tenuipalpus pacificus, T. crassulus, and a closely related new species T. nr crassulus. The genus Raoiella is of major concern to quarantine world-wide due to the rapid spread of one species, the red palm mite (RPM), R. indica Hirst. The genus Brevipalpus is the most commonly intercepted genus of Tenuipalpidae in quarantine world-wide, but it is also the most complicated and by far the most diverse genus in the family. The three most important species in the family world-wide, Brevipalpus californicus, B. obovatus and B. phoenicis, though still consistently confused and misidentified, can be identified using this tool, and the Brevipalpus phoenicis species complex has been further separated into seven cryptic species. Dolichotetranychus is increasingly diverse genus of monocot-associated flat mites. Here we present diagnostics for an economically important species associated with pineapple across the world, D. floridanus. Tenuipalpus is a hugely diverse and complicated genus. Tenuipalpus pacificus is the name most commonly applied, correctly or incorrectly, to species in the genus Tenuipalpus intercepted on orchids across the world. We provide diagnostics for T. pacificus, based on type material. A recent incursion in the USA of an unidentified Tenuipalpus mite near T. crassulus sparked our interest in providing diagnostics for these two flat mite species associated with succulent plants.&lt;/p&gt;
&lt;p&gt;Exotic species of flat mite pose a significant threat to USA’s biosecurity both as plant pests and as vectors of plant disease; however, the available diagnostics do not allow accurate and reliable identification of species. This tool is aimed at enhancing our diagnostic capabilities for key taxa and to ultimately allow plant protection and quarantine services to develop rapid solutions to serious biosecurity threats. The necessity to accurately and efficiently identify intercepted flat mites will increase as globalization increases. Flat Mites of the World provides a portal to a variety of keys, images, and fact sheets to help support identification of this diverse, potentially destructive group of mites.&lt;/p&gt;
&lt;p&gt;This tool is designed to help identify any flat mite to the taxonomic level of genus, and in some cases to species, without the need for expertise in the group. Target users include USDA-APHIS pest survey specialists, ports of entry inspectors, other inspection personnel, students, and scientists. The “Is it a flat mite?” page provides information on how to distinguish a flat mite from other members of the spider mite superfamily Tetranychoidea.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Slide mounted mites:&lt;/strong&gt; A flat mite looks very different alive under a stereoscope compared to after it has been squashed flat and slide mounted. Often the 3D shape of the mite is lost in the process.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Microscopy for mites:&lt;/strong&gt; When dealing with mites, we are interested mainly in the morphology of surface structures, and DIC offers better interpretation of these features than phase contrast does.&lt;/p&gt;
&lt;p&gt;The key is designed for users with limited knowledge about the group to identify flat mites to genus (and to identify critical genera to species). All characters are best observed using DIC (differential interference contrast) on a compound microscope. Ideally the user should have access to a compound microscope with a magnification capacity of 1000X (10X eyepiece + 100X oil objective) with DIC. The microscope images provided in the key were taken using DIC, mostly at 1000X. We highly recommend the use of DIC over Phase Contrast for identifying mites as the optical properties of DIC allow a more accurate interpretation of mite morphology. Please see the “DIC VS Phase Contrast” page for more information.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-20</modified><identifier>0a98a279-0d7f-48d6-b384-bed0291f8933</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ron.ochoa@ars.usda.gov</emailAddress><fn>Ochoa, Ronald</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://idtools.org/id/mites/flatmites/index.php</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Food Intakes Converted to Retail Commodities Databases (FICRCD)</title><description>&lt;p&gt;Food Intakes Converted to Retail Commodities Databases (FICRCD) provide data for foods consumed in the United States national dietary intake surveys at the retail commodity level. The survey foods are converted into 65 retail-level commodities. The commodities are grouped into eight major categories: Dairy Products; Fats and Oils; Fruits; Grains; Meat, Poultry, Fish and Eggs; Nuts; Caloric Sweeteners; and Vegetables, Dry Beans and Legumes.&lt;/p&gt;
&lt;p&gt;The Food Intakes Converted to Retail Commodities Databases were jointly developed by USDA's Agricultural Research Service (ARS) and Economic Research Service (ERS) for the following six surveys:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Continuing Survey of Food Intakes by Individuals 1994-1996 and 1998.&lt;/li&gt;
&lt;li&gt;National Health and Nutrition Examination Survey 1999-2000.&lt;/li&gt;
&lt;li&gt;What We Eat in America, National Health and Nutrition Examination Survey 2001-2002.&lt;/li&gt;
&lt;li&gt;What We Eat in America, National Health and Nutrition Examination Survey 2003-2004.&lt;/li&gt;
&lt;li&gt;What We Eat in America, National Health and Nutrition Examination Survey 2005-2006.&lt;/li&gt;
&lt;li&gt;What We Eat in America, National Health and Nutrition Examination Survey 2007-2008.&lt;/li&gt;
&lt;/ul&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/food-intakes-converted-retail-commodities-databases-ficrcd/resource/be8659ca-660d-480b-b7b7-ccc34a2d740c</describedBy><modified>2018-01-19</modified><identifier>c941e25f-491d-4743-b426-ab228ff4abb9</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Alanna.Moshfegh@ars.usda.gov</emailAddress><fn>Moshfegh, Alanna J.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://data.nal.usda.gov/dataset/food-patterns-equivalents-database-fped, http://dx.doi.org/10.15482/USDA.ADC/1178144</references><distribution><downloadURL>https://www.ars.usda.gov/northeast-area/beltsville-md/beltsville-human-nutrition-research-center/food-surveys-research-group/docs/ficrcd-overview/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ars.usda.gov/northeast-area/beltsville-md/beltsville-human-nutrition-research-center/food-surveys-research-group/docs/ficrcd-methodology/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Food Patterns Equivalents Database (FPED) </title><description>&lt;p&gt;USDA’s Food Patterns Equivalents Database (FPED) converts the foods and beverages in the Food and Nutrient Database for Dietary Studies to the 37 USDA Food Patterns components. The FPED was formerly known as the MyPyramid Equivalents Database.&lt;/p&gt;
&lt;p&gt;The FPED serves as a unique research tool to evaluate food and beverage intakes of Americans with respect to the 2015-2020 Dietary Guidelines for Americans recommendations.&lt;/p&gt;
&lt;p&gt;The Food Patterns are measured as cup equivalents of Fruit, Vegetables, and Dairy; ounce equivalents of Grains and Protein Foods; teaspoon equivalents of Added Sugars; gram equivalents of Solid Fats and Oils; and the number of Alcoholic Drinks.&lt;/p&gt;
&lt;p&gt;In addition to the SAS datasets, the FPED release includes: (1) the Food Patterns Equivalents Ingredient Database (FPID) that includes the 37 USDA Food Patterns components per 100 grams of each unique ingredient used in the FNDDS; and (2) listings of gram weights for one cup equivalents of fruits, vegetables, dairy, and legumes used in the FPED.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-18</modified><identifier>d229599b-a9df-4e16-95fe-a114a5c1f8e0</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Alanna.Moshfegh@ars.usda.gov</emailAddress><fn>Moshfegh, Alanna J.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>http://dx.doi.org/10.15482/USDA.ADC/1178144</references><distribution><downloadURL>https://www.ars.usda.gov/northeast-area/beltsville-md/beltsville-human-nutrition-research-center/food-surveys-research-group/docs/fped-overview/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Food and Nutrient Database for Dietary Studies (FNDDS)</title><description>&lt;p&gt;USDA's Food and Nutrient Database for Dietary Studies (FNDDS) is a database that is used to convert food and beverages consumed in What We Eat In America (WWEIA), National Health and Nutrition Examination Survey (NHANES) into gram amounts and to determine their nutrient values. Because FNDDS is used to generate the nutrient intake data files for WWEIA, NHANES, it is not required to estimate nutrient intakes from the survey. FNDDS is made available for researchers using WWEIA, NHANES to review the nutrient profiles for specific foods and beverages as well as their associated portions and recipes. Such detailed information makes it possible for researchers to conduct enhanced analysis of dietary intakes. FNDDS can also be used in other dietary studies to code foods/beverages and amounts eaten and to calculate the amounts of nutrients/food components in those items.
&lt;/p&gt;
&lt;p&gt;FNDDS is released every two-years in conjunction with the WWEIA, NHANES dietary data release. The FNDDS is available for free download from the FSRG website.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-18</modified><identifier>db60a0e5-2e0c-4a44-b370-9990a2a1b3aa</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>alanna.moshfegh@ars.usda.gov</emailAddress><fn>Moshfegh, Alanna</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>http://dx.doi.org/10.15482/USDA.ADC/1178144</references><distribution><downloadURL>https://www.ars.usda.gov/northeast-area/beltsville-md/beltsville-human-nutrition-research-center/food-surveys-research-group/docs/fndds/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>GRACEnet (Greenhouse gas Reduction through Agricultural Carbon Enhancement network) </title><description>&lt;p&gt;GRACEnet (Greenhouse gas Reduction through Agricultural Carbon Enhancement network) is a research program initiated in the early 2000s . Goals are to better quantify greenhouse gas GHG emissions from cropped and grazed soils under current management practices and to identify and further develop improved management practices that will enhance carbon (C) sequestration in soils, decrease GHG emissions, promote sustainability and provide a sound scientific basis for carbon credits and GHG trading programs. This program generates information that is needed by agro-ecosystem modelers, producers, program managers and policy makers. Coordinated multi-location field studies follow standardized protocols to compare net GHG emissions (carbon dioxide, nitrous oxide, methane), C sequestration, crop/forge yields, and broad environmental benefits under different management systems that:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Typify existing production practices&lt;/li&gt;
&lt;li&gt;Maximize C sequestration&lt;/li&gt;
&lt;li&gt;Minimize net GHG emissions&lt;/li&gt;
&lt;li&gt;Meet sustainable production and broad environmental benefit goals (including C sequestration, net GHG emissions, water, air and soil quality, etc.)&lt;/li&gt;
&lt;/ol&gt;
</description><accessLevel>public</accessLevel><describedBy>http://adc-node1.nal.usda.gov/dataset/gracenet-greenhouse-gas-reduction-through-agricultural-carbon-enhancement-network/resource/6afd359b-7cde-48ce-b4ce-bbf5d9e5a524</describedBy><modified>2018-01-02</modified><identifier>f6f836db-09b0-4fec-abba-79b187a9b7f1</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>steve.delgrosso@ars.usda.gov</emailAddress><fn>DelGrosso, Steve </fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>http://dx.doi.org/10.15482/USDA.ADC/1372394</references><distribution><downloadURL>https://gpsr.ars.usda.gov/natres</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/GRACENET%20brochure%20%20REVISED%20June%202017.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ars.usda.gov/research/programs/programs.htm?np_code=212&amp;docid=21223&amp;page=1</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/DET_GRACEnet_REAP_0.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/GRACENET%20brochure%20%20REVISED%20July%202017%20final.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>GRACEnet Soil Biology Network</title><description>&lt;p&gt;To help enhance USA soil health, and ensure a robust living soil component that sustains essential functions for healthy plants, animals, and environment, and ultimately provides food for a healthy society, the GRACEnet Soil Biology group are working together with the larger USDA-ARS GRACEnet community to provide soil biology component measurements across regions and to eliminate data gaps for GRACEnet and REAP efforts. The Soil Biology group is focused on efforts that foster method comparison and meta-analyses to allow researchers to better assess soil biology and soil health indicators that are most responsive to agricultural management and that reflect the ecosystems services associated with a healthy, functioning soil.&lt;/p&gt;
&lt;p&gt;The the GRACEnet Soil Biology mission is to produce the soil biology data, including methods of identifying and quantifying specific organisms and processes they govern, that are needed to evaluate impacts on agroecosystems and sustainable agricultural practices. This data collection effort is being accomplished in a highly structured manner to support current and future soil health and antimicrobial resistance research initiatives. The outcomes of the efforts of this team will provide a common biological data platform for several ARS databases, including: GRACEnet/REAP, Nutrient Use and Outcome Network (NUOnet), Long-Term Agroecosystem Research (LTAR) network, soil biology (e.g., MyPhyloDB) databases, and others.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-08</modified><identifier>29c82cfe-90ca-4e32-a5a8-128bc63e812a</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Veronica.Acosta-Martinez@ars.usda.gov</emailAddress><fn>Acosta-Martinez, Veronica</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.ars.usda.gov/natural-resources-and-sustainable-agricultural-systems/soil-and-air/docs/gracenet-soil-biology/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://gpsr.ars.usda.gov/natres</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Genetic Stocks Oryza (GSOR) Collection Website</title><description>The GSOR website describes the GSOR germplasm collection; provides information on how to donate to the collection and how to request from the collection.</description><accessLevel>public</accessLevel><accrualPeriodicity>irregular</accrualPeriodicity><issued>2005-01-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><identifier>USDA-ARS-00018</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>lorie.bernhardt@ars.usda.gov</emailAddress><fn>Lorie Bernhardt</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><distribution><downloadURL>http://www.ars.usda.gov/Main/docs.htm?docid=8318</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Genetic Stocks Oryza (GSOR) Collection Website</title><description>&lt;p&gt;The GSOR website describes the GSOR germplasm collection; provides information on how to donate to the collection and how to request from the collection.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2018-01-02</modified><identifier>USDA-ARS-00018</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>lorie.bernhardt@ars.usda.gov</emailAddress><fn>Bernhardt, Lorie</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><distribution><downloadURL>https://www.ars.usda.gov/Main/docs.htm?docid=8318</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Genome analysis of the ubiquitous boxwood pathogen Pseudonectria foliicola: A small fungal genome with an increased cohort of genes associated with loss of virulence</title><description>&lt;p&gt;Boxwood plants are affected by many different diseases caused by fungi. Some boxwood diseases are deadly and quickly kill the infected plants, but with others, the plant can survive and even thrive when infected. The fungus that causes volutella blight is the most common of these weak boxwood pathogens. Even the healthiest boxwood plants are infected by the volutella fungus, and often there are no signs that the plants are hurt by the infection. In order to understand why the volutella blight fungus is such a weak pathogen and to understand the genetic mechanisms it uses to interact with boxwood, the complete genome of the volutella fungus was sequenced and characterized. These datasets are generated from the genome sequence of &lt;em&gt;Pseudonectria foliicola&lt;/em&gt;, strain ATCC13545, the fungus responsible for volutella disease of boxwood. Datasets include the nuclear genome and mitochondrial genome assemblies (sequenced using Illumina technology), the predicted gene model dataset generated using MAKER, the multiple sequence alignment of single-copy orthologs used for phylogenetic analysis, CMAP files generated from SimpleSynteny analysis of mitogenomes, and high quality photographic images.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-11-09</modified><identifier>71a391fb-b1b1-4286-a99e-34cf05895867</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>joanne.crouch@ars.usda.gov</emailAddress><fn>Crouch, Jo Anne</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Pfoliicola_makerRun.all_.maker_.proteins.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Volutella%20foliicola_ATCC13545_genome%20assembly.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/All_OrthMCL2316_PHYLIP_alignment.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/1VB.cmap_.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/2DM.cmap_.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/3FG.cmap_.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Pseudonectria_foliicola_leaf1.jpg</downloadURL><format>jpeg</format><mediaType>image/jpeg</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Pseudonectria_foliicola_leaf2.jpg</downloadURL><format>jpeg</format><mediaType>image/jpeg</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Genome datasets for Calonectria henricotiae and C. pseudonaviculata causing boxwood blight disease and related fungal species</title><description>&lt;p&gt;Boxwood blight disease, caused by the fungi &lt;em&gt;Calonectria henricotiae&lt;/em&gt; and &lt;em&gt;C. pseudonaviculata&lt;/em&gt;, is an emergent threat to natural and managed landscapes worldwide.&lt;/p&gt;
&lt;p&gt;Boxwood blight emerged for the first time in the U.K. during the 1990s, then spread rapidly throughout Europe. By 2011, the fungus that causes the disease, &lt;em&gt;Calonectria pseudonaviculata&lt;/em&gt;, was found in the U.S., threatening an industry valued at $103 million annually and countless mature landscapes, some dating back to early Colonial times. Since the first U.S. outbreaks, boxwood blight has been identified from a total of 19 states that together comprise 62% of the total U.S. boxwood production. A second pathogen, &lt;em&gt;C. henricotiae&lt;/em&gt;, was recently described from five European countries. Infection can be latent, and the pathogen may sequester in less susceptible boxwood cultivars. Because there are no curative treatments—fungicides are at best suppressive of symptoms—infected plants are rendered unfit for sale. If infected plants are not destroyed, they provide a long-lived source of inoculum that spreads the pathogen by spores or resistant survival structures in soil, air, or water. Our goal is to provide knowledge and tools needed to reduce the impact of boxwood blight on the green industry.&lt;/p&gt;
&lt;p&gt;This database includes genome datasets from &lt;em&gt;Calonectria&lt;/em&gt; pathogens of boxwood and related species.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-11-24</modified><identifier>3a6b7a8d-9974-4e84-9fa7-30d5617ebd4c</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>joanne.crouch@ars.usda.gov</emailAddress><fn>Crouch, Jo Anne</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/CT1_ALLPATHS.scaffolds_FINAL.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/NL009contigs_FINAL111517.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/CB77contigs_subset_FINAL111517.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Cleucothes%20_contigs_032017REV1.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Cnaviculata_CBS101121%20contig%20list_031017_FINAL2%20%281%29.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/CpseudonaviculataPredicted_CT1_CDS.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/CpseudonaviculataCT1_PredictedPass.gff3_.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/CB45Jelly1b_FINAL111717_FINAL.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/CBS%20139394.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/cbs114417contigs_FINAL_final112017.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/cpsCT13_Final_FINAL111717.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/ICMP14368FINAL112017_final.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/NCBB1contigs_FINAL_final112017.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/ODA1contigs_FINAL112117final.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/NL017contigs_FINAL111717.txt</downloadURL><format>txt</format><mediaType>text/plain</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Germplasm Resources Information Network (GRIN)</title><description>GRIN provides germplasm information about plants, animals, microbes and invertebrates, important for food and agricultural production.</description><accessLevel>public</accessLevel><modified>2014-07-01</modified><identifier>USDA-NIFA-RV-0004</identifier><publisher><name>Agricultural Research Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>dbmu@ars-grin.gov</emailAddress><fn>Database Management Unit</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><description>A GRIN query system that has over 2,000 genera, 12,000 species and 480,000 accessions.</description><downloadURL>http://www.ars-grin.gov/npgs/searchgrin.html</downloadURL><mediaType>text/html</mediaType><title>National Plant Germplasm System</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Germplasm Resources Information Network (GRIN)</title><description>&lt;p&gt;The Germplasm Resources Information Network (GRIN) web server provides germplasm information about plants, animals, microbes and invertebrates important for food and agricultural production. These include lists of currently registered cultivars, historical seed and varietal catalogs, and related resources.&lt;/p&gt;
&lt;p&gt;In 1990, the U.S. Congress authorized establishment of a National Genetic Resources Program (NGRP). It is the NGRP's responsibility to acquire, characterize, preserve, document, and distribute to scientists germplasm of all lifeforms important for food and agricultural production. &lt;/p&gt;
&lt;p&gt;The United States contains a broad array of livestock genetic resources that have been used by the livestock industry to improve production efficiency and increase food security. The National Animal Germplasm Program provides genetic security and increased understanding of these livestock populations for industry and research community use. The major components of the program include information systems, genetic evaluation, and cryobiology, as well as the broad array of national and international collaborators that work with the NAGP in acquiring germplasm or tissue samples. These broader connections, like the NAGP Species Committees, are essential for capturing and assessing genetic variability. In addition this program interacts with international organizations in discussing policies concerning animal genetic diversity on a global scale and developing standardized methods for establishing and operating gene banks for livestock species.&lt;/p&gt;
&lt;p&gt;There are more than 500,000 accessions (distinct varieties of plants) in the GRIN database. These accessions represent more than 10,000 species of plants. See the Helps and Hints page if you are having trouble getting your results. The GRIN database is managed by the Database Management Unit (DBMU), while the acquisition of plants is managed by the Plant Exchange Office (PEO).&lt;/p&gt;
&lt;p&gt; The plant germplasm currently available for distribution is listed by place of collection, and organized using the FAO Multi-Crop Passport Descriptors (MCPD) variable list. [Note: updated to current version MCPD V.2.1, December 2015.]&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://docs.google.com/spreadsheets/d/1fG_KLTRX8lZypctXHGJjzPlHYagjDDeVEYQyPuswUzg/edit?hl=en#gid=2</describedBy><modified>2017-12-12</modified><identifier>a361e646-ffe2-4fc8-807f-53fbaa6fa62b</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>dbmu@ars-grin.gov</emailAddress><fn>ARS National Germplasm Resources Laboratory Database Management Unit </fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://npgsweb.ars-grin.gov/gringlobal/search.aspx</references><distribution><downloadURL>http://usfsc.grscicoll.org/cool/6a4e-ck7c</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/grin_alaska_accessions_0.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://npgsweb.ars-grin.gov/gringlobal/search.aspx</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://npgsweb.ars-grin.gov/gringlobal/query/accessionsbysite.aspx</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://nrrc.ars.usda.gov/A-GRIN/main_webpage_dev/ars?record_source=US</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/FAOBIOVERSITY_MULTI-CROP_PASSPORT_DESCRIPTORS_V.2.1_2015_2020.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://docs.google.com/spreadsheets/d/1fG_KLTRX8lZypctXHGJjzPlHYagjDDeVEYQyPuswUzg/edit?hl=en#gid=2</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://npgsweb.ars-grin.gov/gringlobal/gui.asmx</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>GrainGenes Database</title><description>GrainGenes is a suite of services for the Triticeae and Oat communities, including databases, documents, tools, data files, web sites, announcements, curation, and community assistance.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><issued>1993-12-12</issued><landingPage>http://wheat.pw.usda.gov</landingPage><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>n/a</spatial><identifier>USDA-ARS-00024</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gerard.lazo@ars.usda.gov</emailAddress><fn>Gerard R. Lazo</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://wheat.pw.usda.gov</references><distribution><downloadURL>http://wheat.pw.usda.gov</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>GrainGenes, the genome database for small-grain crops</title><description>&lt;p&gt;GrainGenes is a popular repository for information about genetic maps, mapping probes and primers, genes, alleles and QTLs for the following crops: wheat, barley, rye and oat.&lt;/p&gt;
&lt;p&gt;Documentation includes such data as primer sequences, polymorphism descriptions, genotype and trait scoring data, experimental protocols used, and photographs of marker polymorphisms, disease symptoms and mutant phenotypes. These data, curated with the help of many members of the research community, are integrated with sequence and bibliographic records selected from external databases and results of BLAST searches of the ESTs. Records are linked to corresponding records in other important databases, e.g. Gramene's EST homologies to rice BAC/PACs, TIGR's Gene Indices and GenBank. In addition to this information within the GrainGenes database itself, the GrainGenes homepage at &lt;a href="http://wheat.pw.usda.gov"&gt;http://wheat.pw.usda.gov&lt;/a&gt; provides many other community resources including publications (the annual newsletters for wheat, barley and oat, monographs and articles), individual datasets (mapping and QTL studies, polymorphism surveys, variety performance evaluations), specialized databases (Triticeae repeat sequences, EST unigene sets) and pages to facilitate coordination of cooperative research efforts in specific areas such as SNP development, EST-SSRs and taxonomy. The goal is to serve as a central point for obtaining and contributing information about the genetics and biology of these cereal crops&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-11</modified><identifier>cf672ab4-0551-405e-a1f5-7206d57d4ea8</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gerard.lazo@ars.usda.gov</emailAddress><fn>Lazo, Gerard R.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>http://wheat.pw.usda.gov</references><distribution><downloadURL>http://wheat.pw.usda.gov/GG3/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Gramene</title><description>&lt;p&gt;Gramene is a curated, open-source, integrated data resource for comparative functional genomics in crops and model plant species.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-13</modified><identifier>5b8f774b-84d4-425b-9803-558b2de80c0f</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>mmonaco@cshl.edu</emailAddress><fn>Tello-Ruiz, Marcela</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://www.gramene.org/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>ftp://ftp.gramene.org/pub/gramene/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://plants.ensembl.org/info/website/ftp/index.html</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>HoloBee Database v2016.1</title><description>&lt;p&gt;Organisms living in honey bees and honey bee colonies form large associative holobiont communities that are integral to bee biology. High-throughput sequencing approaches to characterize these holobiont communities from honey bees in various states of health and disease are now commonplace, producing large amounts of nucleotide sequence data that must be accurately and consistently analyzed in order to produce reliable and comparable reports. In addition, new species designations and revisions are actively being made from honey bee holobiont communities, complicating nomenclature in larger databases where taxonomic descriptions associated with archived sequences can quickly become outdated and misleading.&lt;/p&gt;
&lt;p&gt;To improve the accuracy and consistency of honey bee holobiont research, we have developed HoloBee: a curated database of publicly accessioned nucleotide sequences from the honey bee holobiont community. Except in rare and noted exceptions made by curators, sequences used in HoloBee were obtained from, or in association with, &lt;em&gt;Apis mellifera&lt;/em&gt; (Western honey bee) as well as other honey bee species where available (e.g. &lt;em&gt;Apis cerana&lt;/em&gt;, &lt;em&gt;Apis dorsata&lt;/em&gt;, &lt;em&gt;Apis laboriosa&lt;/em&gt;, &lt;em&gt;Apis koschevnikovi&lt;/em&gt;, &lt;em&gt;Apis florea&lt;/em&gt;, &lt;em&gt;Apis andreniformis&lt;/em&gt; and &lt;em&gt;Apis nigrocincta&lt;/em&gt;). Sources include: within or on the surface of honey bees (adult, pupae, larvae, egg), corbicular pollen, bee bread, royal jelly, honey, comb, hive surfaces (e.g. bottom board debris, frames, landing platforms), and isolates of microbes, parasites and pathogens from honey bees. HoloBee contains two non-overlapping sets of sequence data, HoloBee-Barcode and HoloBee-Mop, each of which have distinct intended uses.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;HoloBee-Barcode&lt;/strong&gt; is a non-redundant database of taxonomically informative barcoding loci for all viruses, bacteria, fungi, protozoans and metazoans associated with honey bees (&lt;em&gt;Apis&lt;/em&gt; spp.). It was created from an exhaustive master sequence archive of all valid holobiont sequences. Redundancy was removed from this master archive using a clustering algorithm that grouped sequences with ≥ 99% identity and retained the longest sequence from each cluster as the representative accession for that sequence type (“centroid”). These centroid sequences were concatenated into a fasta formatted file to create the HoloBee-Barcode database. Associated taxonomy for each centroid, including Superkingdom through Species and Strain/Isolate, was individually reviewed and corrected when necessary by a curator. Cross reference tables (separated according to 5 major taxonomic groups) provide a user-friendly outline of information for each centroid accession within HoloBee-Barcode including taxonomy, gene/product name, sequence length, the unaltered NCBI definition line, the number and identity of redundant sequences clustered within each centroid, and any additional information provided by the curator. HoloBee-Barcode centroid counts are: Viruses = 86; Bacteria = 496; Fungi = 41; Protozoa = 4; Metazoa = 60.&lt;/p&gt;
&lt;p&gt;HoloBee-Barcode is intended to improve and standardize quantitative and qualitative metagenomic descriptions of holobiont communities associated with honey bees by providing a curated set of barcode sequences. The goal of genetic barcoding is to associate a nucleotide sequence sample to a taxonomically valid species. Genomic regions targeted for such barcoding purposes varied by taxonomic group. The small subunit (SSU) ribosomal RNA, or 16S rRNA, is the most commonly used barcode for bacteria and is used in HB-Barcode. These 16S rRNA sequences will support the analysis of data generated with the widely used approach of amplicon-based 16S rRNA deep sequencing to study microbiota communities. Although barcode markers for fungi are less definitive than bacteria, HB-Barcode defaults to the ribosomal RNA internal transcribed spacer region (ITS), which typically includes ITS-1, 5.8S, and ITS-2. For some clades that cannot be resolved by this region, other barcode markers were selected. The majority of barcodes for metazoan taxa are the mitochondrial locus cytochrome c oxidase subunit I (COI). Complete mitochondrial DNA (mtDNA) sequence for &lt;em&gt;Apis cerana&lt;/em&gt; (Asian honey bee) and &lt;em&gt;Galleria mellonella&lt;/em&gt; (Greater wax moth) are included as barcodes for these species. We note that &lt;em&gt;A. cerana&lt;/em&gt; mtDNA is included because it is considered a potentially invasive honey bee species and monitoring for its occurrence is in practice regionally, including in Australia, New Zealand and the USA. Protozoan barcodes include cytochrome b oxidase (Cytb), SSU, or ITS while entire genomes are used for viral barcoding.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;HoloBee-Mop&lt;/strong&gt; is a database comprised mostly of chromosomal, mitochondrial and plasmid genome assemblies in order to aggregate as much honey bee holobiont genomic sequence information as possible. For a few organisms without genome assembly data, transcriptome data are included (e.g. &lt;em&gt;Aethina tumida&lt;/em&gt;, small hive beetle). Unlike HoloBee-Barcode, redundancy removal was not performed on the HoloBee-Mop database and thus this resource provides an archive of nucleotide sequence assemblies from honey bee holobionts. However, since full viral genomes are used in HoloBee-Barcode, only redundant viral sequences occur in HoloBee-Mop. All accessions within each of these assemblies were concatenated into a single fasta formatted file to create the HoloBee-Mop database. The intended purpose of HoloBee-Mop is to improve honey bee genome and transcriptome assemblies by “mopping-up” as much viral, bacterial, fungal, protozoan and non-honey bee metazoan sequence data as possible. Therefore, sequence data remaining after processing reads through both HoloBee-Barcode and HoloBee-Mop that do not map to the honey bee genome may contain unique data from taxonomic variants or novel species. Details for each sequence assembly within HoloBee-Mop are tabulated in cross reference tables according to each major taxonomic group. HoloBee-Mop assembly counts are: Viruses = 2; Bacteria = 55; Fungi = 5; Protozoa = 1; Metazoa = 6.&lt;/p&gt;
&lt;p&gt;Follow the HoloBee database on Twitter at: &lt;a href="https://twitter.com/HoloBee_db"&gt;https://twitter.com/HoloBee_db&lt;/a&gt;&lt;/p&gt;
</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>https://data.nal.usda.gov/dataset/holobee-v20161/resource/e3976ad5-cb70-4dad-90a7-3496e790f52c</describedBy><modified>2017-12-21</modified><identifier>46e63ebb-e8f9-490f-bba7-c793eb56729c</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>noemailprovided@usa.gov</emailAddress><fn>HoloBee database team, Jay Evans, Anna Childers</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Data_Dictionary_HoloBee_v2016.1.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/HB_v2016.1_crossref_0.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/HB_v2016.1.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Data_Dictionary_HoloBee_v2016.1.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Homalodisca vitripennis Genome Assembly 1.0</title><description>&lt;p&gt;The Baylor College of Medicine recently sequenced and annotated the &lt;em&gt;Homalodisca vitripennis&lt;/em&gt; genome as part of the i5k pilot project.&lt;/p&gt;
&lt;p&gt;The Glassy-winged sharpshooter, GWSS, (&lt;em&gt;Homalodisca vitripennis&lt;/em&gt;) [Hemiptera: Cicadellidae], occurs naturally within the southern United States. Once restricted to the southeastern states, it was accidentally spread across the south into California. The GWSS is a voracious feeder, and can fly long distances, preferring to feed upon cultivated crops, ie. Grapevine, fruit trees, and in the nymphal stages many weeds and grasses.&lt;/p&gt;
&lt;p&gt;The GWSS is a serious threat to the viticulture industry as the primary vector of the plant-infecting bacterium, &lt;em&gt;Xylella fastidiosa&lt;/em&gt;, Xf. The GWSS feeds on a diverse number of plants, during which the bacteria can infect many tree fruit, nut, vine, and woody ornamental crops.&lt;/p&gt;
&lt;p&gt;Glassy-winged Sharpshooter adults are ½ inch (13mm) long being fairly large for the Sharpshooter leafhopper family of insects. Sharpshooters use an ovipositor to lay eggs inside of the underside of leaves. The Sharpshooter will lay its eggs on almost any plant including cactus. The egg masses are usually composed of 10-20 eggs, but can lay more or as few as 1. Most of the egg masses have a waxy coating of brocosomes around the eggs for protection. The nymphs (5 instars) do not have wings, but develop wing pads in the 5th instar and are generally smaller than the adults, ranging in size from .07 inches (2 mm) to nearly ½ inch (13mm) long. The nymphs have very distinct red eyes. The Sharpshooter can consume about 300 times its own weight in fluids from the xylem vessels of the plants upon which it feeds, thus producing copious amounts of excreta fluid.&lt;/p&gt;
&lt;p&gt;This dataset presents the &lt;em&gt;Homalodisca vitripennis&lt;/em&gt; genome v1.0. This assembly version is the pre-release version, prior to filtering and quality control by the National Center for Biotechnology Information's GenBank resource (&lt;a href="https://www.ncbi.nlm.nih.gov/assembly/GCA_000696855.1"&gt;https://www.ncbi.nlm.nih.gov/assembly/GCA_000696855.1&lt;/a&gt;). Assembly method details will be available in a forthcoming publication.&lt;/p&gt;
&lt;p&gt;If you wish to use this dataset, please follow the Baylor College of Medicine's conditions for data use: &lt;a href="https://www.hgsc.bcm.edu/bcm-hgsc-conditions-use"&gt;https://www.hgsc.bcm.edu/bcm-hgsc-conditions-use&lt;/a&gt;&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-11-27</modified><identifier>889aa474-dfed-438f-9ec2-f7762e8abec2</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Wayne.Hunter@ARS.USDA.GOV</emailAddress><fn>Hunter, Wayne</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://data.nal.usda.gov/dataset/homalodisca-vitripennis-genome-annotations-v053_3491</references><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Hvit_1.0.tgz</downloadURL><format>tgz</format><mediaType>application/x-gtar</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Hunter_2012.%20History%20of%20Early%20Contributions%20Homalodisca%20coagulata%20%28Glassy-winged%20sharpshooter%29%20ESTs%2C%20Transcriptome%2C%20Micrbiome.docx</downloadURL><format>docx</format><mediaType>application/vnd.openxmlformats-officedocument.wordprocessingml.document</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Homalodisca vitripennis genome annotations v0.5.3</title><description>&lt;p&gt;The &lt;em&gt;Homalodisca vitripennis&lt;/em&gt; genome was recently sequenced and annotated as part of the i5k pilot project by the Baylor College of Medicine.&lt;/p&gt;
&lt;p&gt;The Glassy-winged sharpshooter, GWSS, (&lt;em&gt;Homalodisca vitripennis&lt;/em&gt;) [Hemiptera: Cicadellidae], occurs naturally within the southern United States. Once restricted to the southeastern states, it was accidentally spread across the south into California. The GWSS is a voracious feeder, and can fly long distances, preferring to feed upon cultivated crops, ie. Grapevine, fruit trees, and in the nymphal stages many weeds and grasses.&lt;/p&gt;
&lt;p&gt;The GWSS is a serious threat to the viticulture industry as the primary vector of the plant-infecting bacterium, &lt;em&gt;Xylella fastidiosa&lt;/em&gt;, Xf. The GWSS feeds on a diverse number of plants, during which the bacteria can infect many tree fruit, nut, vine, and woody ornamental crops.&lt;/p&gt;
&lt;p&gt;Glassy-winged Sharpshooter adults are ½ inch (13mm) long being fairly large for the Sharpshooter leafhopper family of insects. Sharpshooters use an ovipositor to lay eggs inside of the underside of leaves. The Sharpshooter will lay its eggs on almost any plant including cactus. The egg masses are usually composed of 10-20 eggs, but can lay more or as few as 1. Most of the egg masses have a waxy coating of brocosomes around the eggs for protection. The nymphs (5 instars) do not have wings, but develop wing pads in the 5th instar and are generally smaller than the adults, ranging in size from .07 inches (2 mm) to nearly ½ inch (13mm) long. The nymphs have very distinct red eyes. The Sharpshooter can consume about 300 times its own weight in fluids from the xylem vessels of the plants upon which it feeds, thus producing copious amounts of excreta fluid.&lt;/p&gt;
&lt;p&gt;This dataset presents the &lt;em&gt;Homalodisca vitripennis&lt;/em&gt; genome v1.0. This assembly version is the pre-release version, prior to filtering and quality control by the National Center for Biotechnology Information's GenBank resource (&lt;a href="https://www.ncbi.nlm.nih.gov/assembly/GCA_000696855.1"&gt;https://www.ncbi.nlm.nih.gov/assembly/GCA_000696855.1&lt;/a&gt;). Assembly method details will be available in a forthcoming publication.&lt;/p&gt;
&lt;p&gt;NOTE: This gene set is an unstable pre-release (v0.5.3), and was provided to facilitate manual curation and analyses before the official gene set is released. Gene identifiers from this gene set will likely not be maintained.&lt;/p&gt;
&lt;p&gt;If you wish to use this dataset, please follow the Baylor College of Medicine's conditions for data use: &lt;a href="https://www.hgsc.bcm.edu/bcm-hgsc-conditions-use"&gt;https://www.hgsc.bcm.edu/bcm-hgsc-conditions-use&lt;/a&gt;&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-11</modified><identifier>fd1ad2a8-edb3-477e-9296-12ce69cc3d46</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Wayne.Hunter@ARS.USDA.GOV</emailAddress><fn>Hunter, Wayne</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://data.nal.usda.gov/dataset/homalodisca-vitripennis-genome-assembly-10_3490</references><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Hvit_genome_annotations_v0.5.3.tgz</downloadURL><format>tgz</format><mediaType>application/x-gtar</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Hyalella azteca Official Gene Set v1.0</title><description>&lt;p&gt;The &lt;em&gt;Hyalella azteca&lt;/em&gt; genome was recently sequenced and annotated as part of the i5k pilot project by the Baylor College of Medicine. The &lt;em&gt;Hyalella azteca&lt;/em&gt; research community has manually reviewed and curated the computational gene predictions and generated an official gene set, OGSv1.0. The OGS is an integration of automatic gene predictions from Maker with manual annotations by the research community (via the Apollo manual annotation software).&lt;/p&gt;
&lt;p&gt;If you wish to use this dataset, please follow the Baylor College of Medicine's conditions for data use: &lt;a&gt;https://www.hgsc.bcm.edu/bcm-hgsc-conditions-use&lt;/a&gt;&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2018-01-09</modified><identifier>a9198ab5-6c88-4ec6-9a37-5c1a90ed01a5</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Helen.Poynton@umb.edu</emailAddress><fn>Poynton, Helen</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://data.nal.usda.gov/dataset/leptinotarsa-decemlineata-official-gene-set-v11, https://data.nal.usda.gov/dataset/leptinotarsa-decemlineata-genome-assembly-10_5667</references><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/hyaazt_OGS_v1-0.tar.gz</downloadURL><format>tgz</format><mediaType>application/octet-stream</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Hymenoptera Holotypes of the Smithsonian Institution</title><description>&lt;p&gt;This website is a collaborative effort among several individuals. Michael Gates(USDA, Smithsonian Institution, Washington, DC) conceptualized the project. Robert Kula (USDA, Smithsonian Institution, Washington, DC) and Matthew Buffington (USDA, Smithsonian Institution, Washington, DC) contributed to the design of the website. Type photographs were taken by Mr. Jeffrey Chiu and Eugenio (Gino) Nearns (APHIS/PPQ/NIS) developed the website and prepared the on-line searchable database. Signiphoridae type specimens were photographed and processed by members of the Woolley Lab (Ana Dal Molin and Lydia Wessner) and support provided by National Science Foundation - PEET DEB-0730616 grant to Dr. Jim Woolley (Texas A&amp;amp;M University) and Dr. John Heraty (University of California, Riverside).&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-21</modified><identifier>75f1faa4-b19f-4e86-8952-19d1c1edfc6c</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>michael.gates@ars.usda.gov</emailAddress><fn>Gates, Michael </fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://usnmhymtypes.com/default.asp?Action=Show_About</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Integrated Farm System Model (IFSM)</title><description>&lt;p&gt;The need for a research tool that integrates the many physical and biological processes on a farm has led to the development of the Integrated Farm System Model (IFSM). The model has been used to evaluate a wide variety of technologies and management strategies, and these analyses have been reported in the scientific and farm-trade literature. Systems research in dairy and beef production remains as the primary purpose of this tool, but the model also provides an effective teaching aid. With the model, students gain a better appreciation for the complexity of livestock forage systems. The learn how small changes affect many parts of the system, causing unanticipated results. They may also use the model to develop a more optimum food production system. When used in extension type teaching, producers can learn more about their farms and obtain information useful in strategic planning. By testing and comparing different options with the model, those offering the greatest economic benefit with acceptable environmental impact can be found.&lt;/p&gt;
&lt;p&gt;Input information is supplied to the program through three parameter files. The farm parameter file contains data describing the farm such as crop areas, soil type, equipment and structures used, numbers of animals at various ages, harvest, tillage, and manure handling strategies, and prices for various farm inputs and outputs. The machinery file includes parameters for each machine available for use on a simulated farm.&lt;/p&gt;
&lt;p&gt;Simulation output is available in four files, which contain summary tables, report tables, optional tables, and parameter tables. The summary tables provide average performance, environmental impact, costs, and returns for the years simulated. These values consist of crop yields, feeds produced, feeds bought and sold, manure produced, nutrient losses to the environment, production costs, income from products sold, and the net return or profitability of the farm. Values are provided for the average and standard deviation of each over all simulated years. The report tables provide extensive output information including all the data given in the summary tables. In these tables, values are given for each simulated year of weather as well as the mean and variance over all simulated years. Optional tables are available for a closer inspection of how the components of the full simulation are functioning. These tables include very detailed data, often on a daily basis. Parameter tables summarize the input parameters specified for a given simulation. These tables provide a convenient method of documenting the parameter settings used for a simulation.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-29</modified><identifier>d56126f2-1666-47ed-9607-7a20bc8bc0e6</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>al.rotz@ars.usda.gov</emailAddress><fn>Rotz, C. Alan</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://data.nal.usda.gov/dataset/dairy-gas-emissions-model-dairygem</references><distribution><downloadURL>https://www.ars.usda.gov/ARSUserFiles/80700500/Reference%20Manual.pdf</downloadURL><format>pdf</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ars.usda.gov/northeast-area/up-pa/pswmru/docs/integrated-farm-system-model</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Inventory of online public databases and repositories holding agricultural data in 2017</title><description>&lt;p&gt;United States agricultural researchers have many options for making their data available online. This dataset aggregates the primary sources of ag-related data and determines where researchers are likely to deposit their agricultural data. These data serve as both a current landscape analysis and also as a baseline for future studies of ag research data.&lt;/p&gt;
&lt;h3&gt;Purpose&lt;/h3&gt;
&lt;p&gt;As sources of agricultural data become more numerous and disparate, and collaboration and open data become more expected if not required, this research provides a landscape inventory of online sources of open agricultural data.&lt;/p&gt;
&lt;p&gt;An inventory of current agricultural data sharing options will help assess how the &lt;a href="https://data.nal.usda.gov"&gt;Ag Data Commons&lt;/a&gt;, a platform for USDA-funded data cataloging and publication, can best support data-intensive and multi-disciplinary research. It will also help agricultural librarians assist their researchers in data management and publication. The goals of this study were to&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;establish where agricultural researchers in the United States-- land grant and USDA researchers, primarily ARS, NRCS, USFS and other agencies -- currently publish their data, including general research data repositories, domain-specific databases, and the top journals&lt;/li&gt;
&lt;li&gt;compare how much data is in institutional vs. domain-specific vs. federal platforms&lt;/li&gt;
&lt;li&gt;determine which repositories are recommended by top journals that require or recommend the publication of supporting data&lt;/li&gt;
&lt;li&gt;ascertain where researchers not affiliated with funding or initiatives possessing a designated open data repository can publish data&lt;/li&gt;
&lt;/ul&gt;
&lt;h3&gt;Approach&lt;/h3&gt;
&lt;p&gt;The National Agricultural Library team focused on Agricultural Research Service (ARS), Natural Resources Conservation Service (NRCS), and United States Forest Service (USFS) style research data, rather than ag economics, statistics, and social sciences data. To find domain-specific, general, institutional, and federal agency repositories and databases that are open to US research submissions and have some amount of ag data, resources including re3data, libguides, and ARS lists were analysed. Primarily environmental or public health databases were not included, but places where ag grantees would publish data were considered.&lt;/p&gt;
&lt;h3&gt;Search methods&lt;/h3&gt;
&lt;p&gt;We first compiled a list of known domain specific USDA / ARS datasets / databases that are represented in the Ag Data Commons, including ARS Image Gallery, ARS Nutrition Databases (sub-components), SoyBase, PeanutBase, National Fungus Collection, i5K Workspace @ NAL, and GRIN. We then searched using search engines such as Bing and Google for non-USDA / federal ag databases, using Boolean variations of “agricultural data” /“ag data” / “scientific data” + NOT + USDA (to filter out the federal / USDA results). Most of these results were domain specific, though some contained a mix of data subjects.&lt;/p&gt;
&lt;p&gt;We then used search engines such as Bing and Google to find top agricultural university repositories using variations of “agriculture”, “ag data” and “university” to find schools with agriculture programs. Using that list of universities, we searched each university web site to see if their institution had a repository for their unique, independent research data if not apparent in the initial web browser search. We found both ag specific university repositories and general university repositories that housed a portion of agricultural data. Ag specific university repositories are included in the list of domain-specific repositories. Results included Columbia University – International Research Institute for Climate and Society, UC Davis – Cover Crops Database, etc. If a general university repository existed, we determined whether that repository could filter to include only data results after our chosen ag search terms were applied. General university databases that contain ag data included Colorado State University Digital Collections, University of Michigan ICPSR (Inter-university Consortium for Political and Social Research), and University of Minnesota DRUM (Digital Repository of the University of Minnesota). We then split out NCBI (National Center for Biotechnology Information) repositories.&lt;/p&gt;
&lt;p&gt;Next we searched the internet for open general data repositories using a variety of search engines, and repositories containing a mix of data, journals, books, and other types of records were tested to determine whether that repository could filter for data results after search terms were applied. General subject data repositories include Figshare, Open Science Framework, PANGEA, Protein Data Bank, and Zenodo.&lt;/p&gt;
&lt;p&gt;Finally, we compared scholarly journal suggestions for data repositories against our list to fill in any missing repositories that might contain agricultural data. Extensive lists of journals were compiled, in which USDA published in 2012 and 2016, combining search results in ARIS, Scopus, and the Forest Service's TreeSearch, plus the USDA web sites Economic Research Service (ERS), National Agricultural Statistics Service (NASS), Natural Resources and Conservation Service (NRCS), Food and Nutrition Service (FNS), Rural Development (RD), and Agricultural Marketing Service (AMS). The top 50 journals' author instructions were consulted to see if they (a) ask or require submitters to provide supplemental data, or (b) require submitters to submit data to open repositories.&lt;/p&gt;
&lt;p&gt;Data are provided for Journals based on a 2012 and 2016 study of where USDA employees publish their research studies, ranked by number of articles, including 2015/2016 Impact Factor, Author guidelines, Supplemental Data?, Supplemental Data reviewed?, Open Data (Supplemental or in Repository) Required? and Recommended data repositories, as provided in the online author guidelines for each the top 50 journals.&lt;/p&gt;
&lt;h3&gt;Evaluation&lt;/h3&gt;
&lt;p&gt;We ran a series of searches on all resulting general subject databases with the designated search terms. From the results, we noted the total number of datasets in the repository, type of resource searched (datasets, data, images, components, etc.), percentage of the total database that each term comprised, any dataset with a search term that comprised at least 1% and 5% of the total collection, and any search term that returned greater than 100 and greater than 500 results.&lt;/p&gt;
&lt;p&gt;We compared domain-specific databases and repositories based on parent organization, type of institution, and whether data submissions were dependent on conditions such as funding or affiliation of some kind.&lt;/p&gt;
&lt;h3&gt;Results&lt;/h3&gt;
&lt;p&gt;A summary of the major findings from our data review:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Over half of the top 50 ag-related journals from our profile require or encourage open data for their published authors.&lt;/li&gt;
&lt;li&gt;There are few general repositories that are both large AND contain a significant portion of ag data in their collection. GBIF (Global Biodiversity Information Facility), ICPSR, and ORNL DAAC were among those that had over 500 datasets returned with at least one ag search term and had that result comprise at least 5% of the total collection.&lt;/li&gt;
&lt;li&gt;Not even one quarter of the domain-specific repositories and datasets reviewed allow open submission by any researcher regardless of funding or affiliation.&lt;/li&gt;
&lt;/ul&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/inventory-online-public-databases-and-repositories-holding-agricultural-data-2017/resource/05bbec92-3f59-434a-b95f-9e88d9d460bc</describedBy><modified>2018-01-03</modified><identifier>a2023551-e1f2-4fed-8c48-3fba04292bf8</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>cynthia.parr@ars.usda.gov</emailAddress><fn>Parr, Cynthia</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://doi.org/10.3897/tdwgproceedings.1.20434</references><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Journals.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Ag_Data_Repo_DD_2.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/domain_specific_ag_databases_1.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/general_repos_1_0.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Repos_from_journals_0.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/TDWG_Presentation_0.pptx</downloadURL><format>pptx</format><mediaType>application/vnd.openxmlformats-officedocument.presentationml.presentation</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Key Foods</title><description>&lt;p&gt;The Nutrient Data Laboratory is responsible for developing authoritative nutrient databases that contain a wide range of food composition values of the nation's food supply. This requires updating and revising the USDA Nutrient Database for Standard Reference (SR) and developing various special interest databases. However, with over 7,000 food items in SR and a complete nutrient profile costing approximately $2,000 for one sample, analyzing every food item for every nutrient and meeting all user requirements is impossible. Consequently, priorities must be determined. Procedures using food consumption data and nutrient values for developing the Key Foods list are explained. Key Foods have been identified as those food items that contribute up to 75% of any one nutrient to the dietary intake of the US population.  These Key Foods will be used to set priorities for nutrient analyses under the National Food and Nutrient Analysis Program. The tables describe key foods based on Continuing Survey Of Food Intakes By Individuals (CSFII, 1989-) and WWEIA-NHANES (What We Eat In America - National Health and Nutrition Examination Survey 2001-) survey data.&lt;/p&gt;
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Datasets have been developed for the LCA Commons in response to a national need for data representing US operations. 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Models were reviewed independently.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><issued>2012-06-19</issued><landingPage>https://www.lcacommons.gov/discovery/</landingPage><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><identifier>USDA-ARS-00026</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>susan.mccarthy@ars.usda.gov</emailAddress><fn>Susan McCarthy</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><distribution><downloadURL>https://www.lcacommons.gov/discovery/</downloadURL><mediaType>text/html</mediaType><title>LCA Commons Database - Field Crop Production Datasets</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>LCA Domain Metadata Schema Inventory</title><description>&lt;p&gt;This excel workbook is a compilation of the major metadata schemas for life cycle assessment.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-12</modified><identifier>a81268db-86f2-44a5-8690-d5e8382e9e96</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ARS-NAL-LCACommonsEditor@ARS.USDA.GOV</emailAddress><fn>LCA Commons Staff</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/LCADomain_MetadataSchema_Inventory_v1_0_2.xlsm</downloadURL><format>xlsm</format><mediaType>application/vnd.ms-excel.sheet.macroEnabled.12</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Legume (Fabaceae) Fruits and Seeds Version 2</title><description>&lt;p&gt;This is an identification key to genera for seeds and fruits of the legume family. The coverage is world wide, and for each genus there are descriptions of the seeds and fruits, distribution data, and images. The interactive software system INTKEY is used for accessing the data and images. The key can be used for identifying to genus unknown legume samples or for querying the data and images for legume genera, and is designed for seed analysts, technicians, port inspectors, weed scientists, ecologists, botanists, and researchers who need to identify isolated legume fruits and seeds. Procedures relating to preparation, collection, and authentication of data are provided in the 'Procedures' resource file. In order to utilize the identification key the entire folder needs to be downloaded and extracted with all internal structure unmodified.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-11</modified><identifier>b4cc5b66-a7db-482c-8d89-1f69be135c67</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>lisa.castlebury@ars.usda.gov</emailAddress><fn>Castlebury, Lisa A</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Fabaceae.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/info.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/images.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/procs.rtf</downloadURL><format>rtf</format><mediaType>application/rtf</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/verhist.rtf</downloadURL><format>rtf</format><mediaType>application/rtf</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Legume Information System</title><description>LIS stores genetic and genomic data for crops and modal species in the legume family. LIS stores datasets from numerous legumes through species-specific webpages, and uses the reference species Glycine max, Lotus japonicus, and Medicago truncatula as a basis for comparisons between and among diverse legume species. Other genomes are being added as they become available. For other legume species, LIS hosts transcriptome assemblies (both traditional EST and NGS-based) and other datasets. Comparative maps, reference datasets, sequence search tools, etc. make these datasets available for exploration and discovery. New features in 2013 include powerful new sequence-search methods and interfaces; new genome browsers for chickpea, common bean, and pigeonpea; inferred syntenic relationships between all sequenced legume genomes; and a new database of trait and QTL data for bean and peanut. LIS is funded by the USDA-ARS, and is developed and maintained jointly by the National Center for Genome Resources (NCGR) and the USDA-ARS at Ames, Iowa.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><issued>2003-03-03</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><identifier>USDA-ARS-00027</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>steven.cannon@ars.usda.gov</emailAddress><fn>Steven Cannon</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><distribution><downloadURL>http://comparative-legumes.org</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Leptinotarsa decemlineata Official Gene set v1.1</title><description>&lt;p&gt;The &lt;em&gt;Leptinotarsa decemlineata&lt;/em&gt; genome was recently sequenced and annotated as part of the i5k pilot project by the Baylor College of Medicine. The &lt;em&gt;L. decemlineata&lt;/em&gt; research community has manually reviewed and curated the computational gene predictions and generated an official gene set, OGSv1.1. The OGS is an integration of automatic gene predictions from Maker (performed by Dan Hughes at Baylor College of Medicine) with manual annotations by the research community (done via the Apollo manual annotation software).&lt;/p&gt;
&lt;p&gt;If you wish to use this dataset, please follow the Baylor College of Medicine's conditions for data use: &lt;a href="https://www.hgsc.bcm.edu/bcm-hgsc-conditions-use"&gt;https://www.hgsc.bcm.edu/bcm-hgsc-conditions-use&lt;/a&gt;&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-11-24</modified><identifier>de273cbf-69c6-47e1-8b83-8b98cac6f0f3</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>sean.schoville@wisc.edu</emailAddress><fn>Schoville, Sean</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://data.nal.usda.gov/dataset/leptinotarsa-decemlineata-genome-annotations-v053_5668, https://data.nal.usda.gov/dataset/leptinotarsa-decemlineata-genome-assembly-10_5667</references><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/lepdec_OGSv1.1.tar.gz</downloadURL><format>bin</format><mediaType>application/octet-stream</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Leptinotarsa decemlineata genome annotations v0.5.3</title><description>&lt;p&gt;The &lt;em&gt;Leptinotarsa decemlineata&lt;/em&gt; genome was recently sequenced and annotated as part of the i5k pilot project by the Baylor College of Medicine. This dataset presents the &lt;em&gt;Leptinotarsa decemlineata&lt;/em&gt; gene set BCM_v_0.5.3, which was generated computationally. RNA-Seq data was used with additional protein homology data for a MAKER automated annotation of the Leptinotarsa decemlineata genome assembly 1.0. Further annotation method details will be available in a forthcoming publication.&lt;/p&gt;
&lt;p&gt;NOTE: This gene set is an unstable pre-release (v0.5.3), and was provided to facilitate manual curation and analyses before the official gene set is released. Gene identifiers from this gene set will likely not be maintained.&lt;/p&gt;
&lt;p&gt;If you wish to use this dataset, please follow the Baylor College of Medicine's conditions for data use: &lt;a href="https://www.hgsc.bcm.edu/bcm-hgsc-conditions-use"&gt;https://www.hgsc.bcm.edu/bcm-hgsc-conditions-use&lt;/a&gt;&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-09-18</modified><identifier>8a8400d0-39bf-4f2e-ba0d-ff41c1203638</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>sean.schoville@wisc.edu</emailAddress><fn>Schoville, Sean</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://data.nal.usda.gov/dataset/leptinotarsa-decemlineata-genome-assembly-10_5667, https://data.nal.usda.gov/dataset/leptinotarsa-decemlineata-official-gene-set-v11_5669</references><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Ldec_genome_annotations_BCM_version_0.5.3.tar.gz</downloadURL><format>bin</format><mediaType>application/octet-stream</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Leptinotarsa decemlineata genome assembly 1.0</title><description>&lt;p&gt;The Baylor College of Medicine recently sequenced and annotated the &lt;em&gt;Leptinotarsa decemlineata&lt;/em&gt; genome as part of the i5k pilot project. This dataset presents the &lt;em&gt;Leptinotarsa decemlineata&lt;/em&gt; genome v1.0. This assembly version is the pre-release version, prior to filtering and quality control by the &lt;a href="http://www.ncbi.nlm.nih.gov/assembly/GCA_000696205.1"&gt;National Center for Biotechnology Information's GenBank resource&lt;/a&gt;. Assembly method details will be available in a forthcoming publication.&lt;/p&gt;
&lt;p&gt;The Colorado potato beetle is considered the economically most significant defoliator of potato in northern latitudes worldwide. The range of this insect is continuing to expand, and it is likely to eventually colonize all potato-producing areas with temperate climate. Within it's native habitat, the beetle feeds on native solanaceous plants, &lt;i&gt;S. angustifolium, S. elaeagnifolium&lt;/i&gt;, and buffalo bur, &lt;i&gt;S. rostratum&lt;/i&gt;. However, it has adapted to potatoes and other solanaceous crops after its range expansion.&lt;/p&gt;
&lt;p&gt;Due to the lack of any natural enemies that have been able to evolve seasonal adaptations, the cornerstone of Colorado potato beetle management has been the use of insecticides. However, the beetle has shown a remarkable ability to develop resistance to most insecticides used for its control. The mechanism(s) of insecticide resistance is yet unknown and genomic sequencing will lead to major advances in managing this pest in commercial plant production.&lt;/p&gt;
&lt;p&gt;If you wish to use this dataset, please follow the Baylor College of Medicine's conditions for data use: &lt;a href="https://www.hgsc.bcm.edu/bcm-hgsc-conditions-use"&gt;https://www.hgsc.bcm.edu/bcm-hgsc-conditions-use&lt;/a&gt;&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-09-18</modified><identifier>cc8b6996-cb01-45c7-bbbf-b5d267d631c2</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>sean.schoville@wisc.edu</emailAddress><fn>Schoville, Sean</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://data.nal.usda.gov/dataset/leptinotarsa-decemlineata-genome-annotations-v053_5668, https://data.nal.usda.gov/dataset/leptinotarsa-decemlineata-official-gene-set-v11_5669, https://www.ncbi.nlm.nih.gov/assembly/GCA_000696205.1/</references><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Ldec_genome_assembly_v1.0.tar.gz</downloadURL><format>bin</format><mediaType>application/octet-stream</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>MaizeGDB</title><description>MaizeGDB is a community-oriented, long-term, federally funded informatics service to researchers focused on the crop plant and model organism Zea mays.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><issued>1991-07-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>N/A</spatial><temporal>1991/2013</temporal><identifier>USDA-ARS-00028</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>carolyn.lawrence@ars.usda.gov</emailAddress><fn>Carolyn Lawrence</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://www.maizegdb.org/cite.php</references><distribution><downloadURL>http://www.maizegdb.org/</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>MaizeGDB</title><description>&lt;p&gt;MaizeGDB is a community-oriented, long-term, federally funded informatics service to researchers focused on the crop plant and model organism Zea mays. Genomic, genetic, sequence, germplasm, gene product, metabolic pathways, functional characterization, literature reference, diversity, and expression are among the datatypes stored at MaizeGDB. At the project's website are custom interfaces enabling researchers to browse data and to seek out specific information matching explicit search criteria. First released in 1991 with the name MaizeDB, the Maize Genetics and Genomics Database, now MaizeGDB (since 2003), is funded, developed, and hosted by the USDA-ARS located at Ames, Iowa.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-11</modified><identifier>6f99d2bb-5e58-4410-98ca-a516b0c1db3f</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>carson.andorf@ars.usda.gov</emailAddress><fn>Andorf, Carson</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://maizegdb.org/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Measured Annual Nutrient loads from AGricultural Environments (MANAGE) database </title><description>&lt;p&gt;The MANAGE (Measured Annual Nutrient loads from AGricultural Environments) database was developed to be a readily-accessible, easily-queried database of site characteristic and field-scale nutrient export data (Harmel et al., 2006). Initial funding for MANAGE was provided by USDA-ARS to support the USDA Conservation Effects Assessment Project (CEAP) and the Texas State Soil and Water Conservation Board as part of their mission to understand and mitigate agricultural impacts on water quality.&lt;/p&gt;
&lt;p&gt;The original version of MANAGE, which drew heavily from an early 1980’s compilation of nutrient export data (Reckhow et al., 1980; Beaulac, 1980; Beaulac and Reckhow, 1982), created an electronic database with nutrient load data and corresponding site characteristics from 40 studies on agricultural (cultivated and pasture/range) land uses. The first revision in 2008 added N and P load data from 15 additional studies along with N and P runoff concentration data for all 55 studies (Harmel et al., 2008). Another revision in 2016 added 30 runoff studies from forested land uses, 91 drainage water quality studies from drained land, and 12 additional runoff studies from cultivated and pasture/range (Christianson and Harmel, 2015; Harmel et al., 2016). In this expansion, fertilizer application timing, crop yield, and N and P uptake data were added to facilitate analysis of 4R Nutrient Stewardship.&lt;/p&gt;
&lt;p&gt;With these updates, MANAGE contains data from a vast majority of published peer-reviewed N and P export studies on homogeneous cultivated, pasture/range, and forested land uses in the US under natural rainfall-runoff conditions, as well as artificially drained agricultural land. Thus MANAGE facilitates expanded spatial analyses and improved understanding of regional differences, management practice effectiveness, and impacts of land use conversions and management techniques, and it provides valuable data for modeling and decision-making related to agricultural runoff.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-04</modified><identifier>dd0519b4-6f84-4454-a6d0-b23c860563aa</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>bruce.vandenberg@ars.usda.gov</emailAddress><fn>Vandenberg, Bruce</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/manage2016_0.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>NAL Agricultural Thesaurus</title><description>The Agricultural Thesaurus was first released by the National Agricultural Library in 2002. The thesaurus has in depth coverage of agriculture, biology and related disciplines. It contains over 78,000 terms, including 31,000 cross references and is arranged into 17 subject categories. It is annually updated each January. There is a parallel Spanish version, called Tesauro Agri-cola.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://agclass.nal.usda.gov/structure.shtml</describedBy><issued>2002-01-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>global</spatial><identifier>USDA-ARS-00029</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Lori.Finch@ars.usda.gov</emailAddress><fn>Lori Finch</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://agclass.nal.usda.gov/structure.shtml</references><distribution><downloadURL>http://agclass.nal.usda.gov/download.shtml</downloadURL><mediaType>text/html</mediaType><title>NAL Agricultural Thesaurus</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>NAL Geodata</title><description>&lt;p&gt;The United States Department of Agriculture National Agricultural Library Geospatial Data catalog contains geographic location-based agricultural research data, imagery, research location context, and more. Users can search records representing a variety of datasets, maps and graphics, aerial and phenocam images, and other services.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2018-01-09</modified><identifier>877829ad-a419-4665-870c-4ed50957efe9</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jeffrey.Campbell@ars.usda.gov</emailAddress><fn>Campbell, Jeffrey</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://geodata.nal.usda.gov/geonetwork/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>NEXTGEN Cassava Project Website (www.nextgencassava.org)</title><description>Public website to communicate the NEXTGEN Cassava project objectives, activities and news</description><accessLevel>public</accessLevel><accrualPeriodicity>irregular</accrualPeriodicity><issued>2012-12-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><identifier>USDA-ARS-00008</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>hat36@cornell.edu</emailAddress><fn>Hale Tufan</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><distribution><downloadURL>http://www.nextgencassava.org/</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>NUOnet (Nutrient Use and Outcome Network) database</title><description>&lt;p&gt;NUOnet Vision: Efficient use of nutrients to optimize production and product quality of food for animals and humans, fuel and fiber in a sustainable manner that contributes to ecosystem services.&lt;/p&gt;
&lt;p&gt;Best nutrient management practices are critical for maintaining profitable economic returns, sustaining higher yields, lowering environmental impacts, optimizing nutritional quality, and providing ecosystem services. Best management practices that improve nutrient use efficiencies can reduce nutrient losses from agricultural systems. However, we need to improve our understanding of biological, physical and chemical influences on nutrient processes. For instance, crop use efficiency of nitrogen (N), the primary macronutrient regulating yield and protein content, can be reduced by processes such as denitrification (N2O and N2 emission), leaching (NH4-N, NO3-N, and organic-N), ammonia (NH3-N,) volatilization, surface runoff and erosion, disease, and non-crop competition. Similarly, we need to obtain more information about biological and physical cycles of nutrients, especially phosphorus (P), including factors that influence nutrient availability from fertilizers, crop residues, cover crops, manures, and other byproducts. We need a better understanding of relationships between soil biological communities and ecosystems, including plant roots and root exudates, and availability and uptake of macro- and micro-nutrients. In addition, we need information regarding how these practices impact yields, organoleptic qualities, and the macro- and micro-nutritional composition of plants. This information will improve our ability to develop best nutrient management practices.&lt;/p&gt;
&lt;p&gt;Optimal soil nutrient levels are critical for maximizing economic returns, increasing sustainable yields, lowering environmental impacts, sustaining ecosystem services and optimizing nutritional and organoleptic qualities of human and animal foods. Efficient management practices are crucial for increasing economic returns for land managers in a sustainable manner while producing high quality of food for animals and humans with reduced off-site transfer of nutrients from agricultural areas in watersheds. Optimizing N and P inputs requires more information about nutrient inputs from fertilizers, manures, composts, agricultural byproducts, cover crops, and other nutrient sources in addition to nutrient cycling within soils. This requires data from long-term nutrient management studies across a wide range of soils, crops, and environmental conditions. Land management needs are to connect nutrient management practices for crops with nutrient use efficiency; crop quality; crop chemical composition and nutritional value, quality and acceptability for animal and human health. Development of databases that enable the scientific exploration of connections among data generated from diverse research efforts such as nutrient management, fate and ecosystem service outcomes, nutritional composition of crops, and animal and human health, is needed.&lt;/p&gt;
&lt;p&gt;Nitrogen is a key nutrient that enhances agricultural yield and protein content, but multiple N loss pathways, as previously mentioned, reduce crop N use efficiency (NUE). Implementing proper management practices is needed to reduce N losses from agricultural systems. ARS has multidisciplinary scientific teams with expertise in soils, ecological engineering, hydrology, livestock management and nutrition, horticulture, crop breeding, human and animal nutrition, post-harvest management and processing, and other areas, and intentional collaboration among these teams offers opportunities to rapidly improve NUE and crop quality and reduce off-site N losses.&lt;/p&gt;
&lt;p&gt;Similarly, increased P use efficiencies are needed to enhance and ensure sustainable agricultural production and to reduce environmental degradation of water sources. Manure is a valuable source of P and it can be used as a soil amendment to reduce crop production costs. However, there is a need to improve our understanding of the biological and physical cycles of soil P, as well as to obtain more information about P supplies from fertilizer, crop residues, cover crops, manure, and byproducts, and livestock nutrition impacts on manure properties.&lt;/p&gt;
&lt;p&gt;There is also a need for a better understanding of soil biological communities and ecosystems, including plant roots and root exudates and how their interactions with crops and community ecology affect yield and the uptake of macro- and micro-nutrients and the ultimate nutritional composition and organoleptic qualities of the crop. Studies documenting the responses of crop-associated biological communities to management practices and genetic technologies implemented across multiple environments (e.g., soil types and chemistries, hydrologic regimes, climates) will improve our understanding of gaps in macro- and micro-nutrient management strategies.&lt;/p&gt;
&lt;p&gt;A goal of the USDA-ARS is to increase agricultural production and quality while reducing environmental impacts. The Nutrient Uptake and Outcomes (NUOnet) database will be able to help establish baselines on nutrient use efficiencies; processes contributing to nutrient losses; and processes contributing to optimal crop yield, nutritional and organoleptic quality. This national database could be used to calculate many different environmental indicators from a comprehensive understanding of nutrient stocks and flows. Increasing our understanding of stocks and flows could help in the identification of knowledge gaps as well as areas where increased efficiencies can be achieved at a national level. NUOnet could also be used to develop tools to derive cost-benefit curves associated with nutrient management improvement scenarios and assess local, regional and national impacts of off-site nutrient loss. Understanding how agricultural production impacts human health is a challenge, and the database could be used to link crop management strategies to crop chemical composition to human consumption patterns and ultimately to human health outcomes. A national database will also be very important for development and evaluation of new technologies such as real-time sensing or other proximal and remote sensing technologies that enable assessment of nutrient use efficiencies, particularly at the grower level. The database could also be used to develop analyses that will contribute to the recommendation of policies for resource allocations that will most effectively fulfill the goals of the Grand Challenge. Such a national database with contributions from peers across different national programs could also enhance collaborations between ARS, universities, and extension specialists, as well as with producers, industry, and other partners.&lt;/p&gt;
&lt;p&gt;See the &lt;a href="https://www.ars.usda.gov/anrds/nuonet/nuonet-home/"&gt;NUOnet Home Page&lt;/a&gt; for more information about this database and strategic goals.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-07</modified><identifier>143e955c-e1dc-44bd-b0df-704503caec46</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jorge.delgado@ars.usda.gov</emailAddress><fn>Delgado, Jorge</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>http://dx.doi.org/10.15482/USDA.ADC/1235557</references><distribution><downloadURL>https://gpsr.ars.usda.gov/natres</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://gpsr.ars.usda.gov/html/NUOnet_DET/DET_NATRES_NUO.xlsm</downloadURL><format>xlsm</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ars.usda.gov/anrds/nuonet/nuonet-home/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Nashua Data Access: An agricultural water quality study in Nashua, Iowa</title><description>&lt;p&gt;The measured and simulated data for corn and soybean yields, tileflow, N concentration, and N loading by plot, year, treatment, rotation, tillage and N application from 36 1-acre plots located on the Northeast Research and Demonstration Farm near Nashua, Iowa are presented. The measured data were analyzed with the Root Zone Water Quality Model (RZWQM) Version 1.0.2000.830 and summarized in 8 papers in a special issue of &lt;em&gt;Geoderma&lt;/em&gt; (Volume 140, No. 3, pages 217-322). The economic returns associated with each plot year were budgeted using the EconDocs software, since improved and released as DevTreks.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-29</modified><spatial>POINT (-92.569856 42.936215)</spatial><identifier>ef8b8887-f453-4609-9d2c-f62ed944560d</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>phil.heilman@ars.usda.gov</emailAddress><fn>Heilman, Philip</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://apps.tucson.ars.ag.gov/nashua/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Cotton Variety Test</title><description>The National Cotton Variety Test is an on-going standardized cotton research database originating in 1960 and covers the entire US Cotton Belt.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ars.usda.gov/Business/Business.htm?docid=4357&amp;modecode=64-02-15-00&amp;page=1</describedBy><issued>1960-08-13</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>national, regional, state</spatial><identifier>USDA-ARS-00030</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ellen.keene@ars.usda.gov</emailAddress><fn>Ellen R. Keene</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://www.ars.usda.gov/Business/Business.htm?docid=4357&amp;modecode=64-02-15-00&amp;page=1</references><distribution><downloadURL>http://www.ars.usda.gov/Business/Business.htm?docid=4357&amp;modecode=64-02-15-00&amp;page=2</downloadURL><mediaType>application/pdf</mediaType><title>PDF File</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Cotton Variety Test</title><description>&lt;p&gt;The National Cotton Variety Test is an on-going standardized cotton research database originating in 1960 and covers the entire US Cotton Belt.&lt;/p&gt;
</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><modified>2018-01-02</modified><identifier>USDA-ARS-00030</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ellen.keene@ars.usda.gov</emailAddress><fn>Keene, Ellen R.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>https://www.ars.usda.gov/Business/Business.htm?docid=4357&amp;modecode=64-02-15-00&amp;page=1</references><distribution><downloadURL>https://www.ars.usda.gov/Business/Business.htm?docid=4357&amp;modecode=64-02-15-00&amp;page=2</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Invertebrate Genetic Resources</title><description>&lt;p&gt;Insects impact American agriculture both as destructive and beneficial organisms. Insect pests, parasites, predators, products, and pollinators are all economically important. It is critically important to distinguish between different species, races, stocks, strains, biotypes, and other genetic entities and to document their different interactions with agriculture and the environment.&lt;/p&gt;
&lt;p&gt;The goals of the National Invertebrate Genetic Resources Program include:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;
&lt;p&gt;Preservation of reference specimens&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;Maintenance of genetically important germplasm&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;Documentation of specific insect stocks&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;Management of databases&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;Distribution of material to researchers and breeders&lt;/p&gt;
&lt;/li&gt;
&lt;/ol&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-21</modified><identifier>c38009b4-e379-4e4d-981d-ee48229cb73b</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>bcdc@ars-grin.gov</emailAddress><fn>Biological Control Documentation Center</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.ars-grin.gov/nigrp/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Plant Germplasm System</title><description>&lt;p&gt;Global food availability and security is based on intensive agricultural production. Over the past century, this intensification has relied heavily on producing crops with increasing genetic uniformity. Although these practices have benefits, they also include the risks of increasing the vulnerability of crops to pests, diseases, and environmental stress.&lt;/p&gt;
&lt;p&gt;Plant breeding and associated scientific research is essential to meet the ongoing challenges of producing plants for food, fiber, animal feeds, industrial and medicinal purposes, and for landscape and ornamental uses. It is important to collect and conserve living plant material, both to help solve immediate agricultural production problems as well as safeguard plant genetic diversity for future needs. This mission is more essential than ever because the loss of genetic diversity is accelerating with threats from many factors including global urbanization, habitat changes associated with climate, and changes in land use related to population growth and economic development.&lt;/p&gt;
&lt;p&gt;The U.S. National Plant Germplasm System (NPGS) is collaborative effort to safeguard the genetic diversity of agriculturally important plants. The NPGS is managed by the Agricultural Research Service (ARS), the in-house research agency of the United States Department of Agriculture (USDA). Funding for the NPGS comes primarily through appropriations from the U.S. Congress. However, the NPGS is a partnership between the public and private sectors. Many NPGS genebanks are located at state land-grant university sites, which contribute lab, office, greenhouse and field space for operations, as well as staff for technical and support services. The private sector is a major user of the NPGS collections and is the primary means by which new and improved plants are commercialized.&lt;/p&gt;
&lt;p&gt;The mission of the NPGS is to support agricultural production by:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;acquiring crop germplasm&lt;/li&gt;
&lt;li&gt;conserving crop germplasm&lt;/li&gt;
&lt;li&gt;evaluating and characterizing crop germplasm&lt;/li&gt;
&lt;li&gt;documenting crop germplasm&lt;/li&gt;
&lt;li&gt;distributing crop germplasm&lt;/li&gt;
&lt;/ul&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-21</modified><identifier>7e0bc852-af45-43ab-a59a-8e695aba531a</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>dbmu@ars-grin.gov</emailAddress><fn>ARS National Germplasm Resources Laboratory Database Management Unit</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.ars-grin.gov/npgs/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Natural Resource and Genomics Data System</title><description>&lt;p&gt;This application represents the public facing presence for Greenhouse Gas Reduction through Agricultural Carbon Enhancement Network (GRACEnet) and Resilient Economic Agricultural Practices (REAP). Other projects such as Agricultural Antibiotic Resistance (AgAR), Nutrient Use and Outcome Network (NUOnet), and others will be added to this application in the future.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-07</modified><identifier>45932719-6e9c-4375-899a-8c8d84db76d8</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>bruce.vandenberg@ars.usda.gov</emailAddress><fn>Vandenberg, Bruce</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>http://dx.doi.org/10.15482/USDA.ADC/1235557, http://dx.doi.org/10.15482/USDA.ADC/1372394, https://data.nal.usda.gov/dataset/nuonet-nutrient-use-and-outcome-network-database, https://data.nal.usda.gov/dataset/agar-agricultural-antibiotic-resistance, https://data.nal.usda.gov/dataset/gracenet-soil-biology-network, https://data.nal.usda.gov/dataset/long-term-agroecosystem-research-data</references><distribution><downloadURL>https://gpsr.ars.usda.gov/natres</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Oncopeltus fasciatus Official Gene set v1.1</title><description>&lt;p&gt;The &lt;em&gt;Oncopeltus fasciatus&lt;/em&gt; genome was recently sequenced and annotated as part of the i5k pilot project by the Baylor College of Medicine.&lt;br /&gt;
The &lt;em&gt;O. fasciatus&lt;/em&gt; research community has manually reviewed and curated the computational gene predictions and generated an official gene set, OGSv1.1.&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Oncopeltus fasciatus&lt;/em&gt; has been an established lab organism for over 60 years, and has been used for a wide range of studies from physiology to development and evolution. As a relatively conservative and generalized species, it affords a baseline against which other species can be compared.&lt;/p&gt;
&lt;p&gt;For example, this species has the same piercing and sucking type mouthparts as its less benign relatives, including the blood-sucking kissing bug, &lt;em&gt;Rhodnius prolixus&lt;/em&gt;, and the brown marmorated stink bug, &lt;em&gt;Halyomorpha halys&lt;/em&gt;, which are disease vector and agricultural pest species, respectively. Unlike the pest species, the benign, seed-feeding &lt;em&gt;Oncopeltus&lt;/em&gt; can be functionally investigated in the lab by RNA interference (RNAi). Comparing the genomes, and conducting experimental lab work in &lt;em&gt;Oncopeltus&lt;/em&gt;, will help to identify unique features of the pest species, and thus inform management strategies for them.&lt;/p&gt;
&lt;p&gt;More generally, &lt;em&gt;Oncopeltus&lt;/em&gt; is a key species for comparisons across the insects. It is one of the few experimentally tractable hemimetabolous species that can ground comparisons with the completely metamorphosing species of the Holometabola (e.g., flies, beetles, wasps). Topics investigated in this framework include reproductive biology and development of the legs, wings, body segments, extraembryonic membranes, and overall establishment of the body plan.&lt;/p&gt;
&lt;p&gt;This dataset presents the &lt;em&gt;Oncopeltus fasciatus&lt;/em&gt; Official Gene Set (OGS) v1.1. The OGS is an integration of automatic gene predictions from Maker (done by Dan Hughes at Baylor) with manual annotations by the research community (done via Web Apollo).&lt;/p&gt;
&lt;p&gt;If you wish to use this dataset, please follow the Baylor College of Medicine's conditions for data use: &lt;a href="https://www.hgsc.bcm.edu/bcm-hgsc-conditions-use"&gt;https://www.hgsc.bcm.edu/bcm-hgsc-conditions-use&lt;/a&gt;&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-07-12</modified><identifier>b6bff21d-5e79-4050-a69d-9a17cb7cf8dc</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>monica.poelchau@ars.usda.gov</emailAddress><fn>Poelchau, Monica</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://data.nal.usda.gov/dataset/oncopeltus-fasciatus-genome-assembly-10_126, https://data.nal.usda.gov/dataset/oncopeltus-fasciatus-genome-annotations-v053_127</references><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/OFAS_OGS_v1_1.tar__0.gz</downloadURL><format>gz</format><mediaType>application/octet-stream</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Oncopeltus fasciatus genome annotations v0.5.3</title><description>&lt;p&gt;The &lt;em&gt;Oncopeltus fasciatus&lt;/em&gt; genome was recently sequenced and annotated as part of the i5k pilot project by the Baylor College of Medicine.&lt;br /&gt;
The &lt;em&gt;O. fasciatus&lt;/em&gt; research community has manually reviewed and curated the computational gene predictions and generated an official gene set, OGSv1.1.&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Oncopeltus fasciatus&lt;/em&gt; has been an established lab organism for over 60 years, and has been used for a wide range of studies from physiology to development and evolution. As a relatively conservative and generalized species, it affords a baseline against which other species can be compared.&lt;/p&gt;
&lt;p&gt;For example, this species has the same piercing and sucking type mouthparts as its less benign relatives, including the blood-sucking kissing bug, &lt;em&gt;Rhodnius prolixus&lt;/em&gt;, and the brown marmorated stink bug, &lt;em&gt;Halyomorpha halys&lt;/em&gt;, which are disease vector and agricultural pest species, respectively. Unlike the pest species, the benign, seed-feeding &lt;em&gt;Oncopeltus&lt;/em&gt; can be functionally investigated in the lab by RNA interference (RNAi). Comparing the genomes, and conducting experimental lab work in &lt;em&gt;Oncopeltus&lt;/em&gt;, will help to identify unique features of the pest species, and thus inform management strategies for them.&lt;/p&gt;
&lt;p&gt;More generally, &lt;em&gt;Oncopeltus&lt;/em&gt; is a key species for comparisons across the insects. It is one of the few experimentally tractable hemimetabolous species that can ground comparisons with the completely metamorphosing species of the Holometabola (e.g., flies, beetles, wasps). Topics investigated in this framework include reproductive biology and development of the legs, wings, body segments, extraembryonic membranes, and overall establishment of the body plan.&lt;/p&gt;
&lt;p&gt;This dataset presents the &lt;em&gt;Oncopeltus fasciatus&lt;/em&gt; gene set BCM_v_0.5.3, which was generated computationally. RNA-Seq data was used with additional protein homology data for a MAKER automated annotation of the Oncopeltus fasciatus genome assembly 1.0. Further annotation method details will be available in a forthcoming publication.&lt;/p&gt;
&lt;p&gt;NOTE: This gene set is an unstable pre-release (v0.5.3), and was provided to facilitate manual curation and analyses before the official gene set is released. Gene identifiers from this gene set will likely not be maintained.&lt;/p&gt;
&lt;p&gt;If you wish to use this dataset, please follow the Baylor College of Medicine's conditions for data use: &lt;a href="https://www.hgsc.bcm.edu/bcm-hgsc-conditions-use"&gt;https://www.hgsc.bcm.edu/bcm-hgsc-conditions-use&lt;/a&gt;&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-07-12</modified><identifier>44eb3a5a-b746-424a-9533-6bcf0edd087a</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>monica.poelchau@ars.usda.gov</emailAddress><fn>Poelchau, Monica</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://data.nal.usda.gov/dataset/oncopeltus-fasciatus-genome-assembly-10_126, https://data.nal.usda.gov/dataset/oncopeltus-fasciatus-official-gene-set-v11_128</references><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/oncfas_BCM_version_0.5.3.tar__0.gz</downloadURL><format>gz</format><mediaType>application/octet-stream</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Oncopeltus fasciatus genome assembly 1.0</title><description>&lt;p&gt;The Baylor College of Medicine recently sequenced and annotated the &lt;em&gt;Oncopeltus fasciatus&lt;/em&gt; genome as part of the i5k pilot project.&lt;br /&gt;
The &lt;em&gt;O. fasciatus&lt;/em&gt; research community has manually reviewed and curated the computational gene predictions and generated an official gene set, OGSv1.1.&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Oncopeltus fasciatus&lt;/em&gt; has been an established lab organism for over 60 years, and has been used for a wide range of studies from physiology to development and evolution. As a relatively conservative and generalized species, it affords a baseline against which other species can be compared.&lt;/p&gt;
&lt;p&gt;For example, this species has the same piercing and sucking type mouthparts as its less benign relatives, including the blood-sucking kissing bug, &lt;em&gt;Rhodnius prolixus&lt;/em&gt;, and the brown marmorated stink bug, &lt;em&gt;Halyomorpha halys&lt;/em&gt;, which are disease vector and agricultural pest species, respectively. Unlike the pest species, the benign, seed-feeding &lt;em&gt;Oncopeltus&lt;/em&gt; can be functionally investigated in the lab by RNA interference (RNAi). Comparing the genomes, and conducting experimental lab work in &lt;em&gt;Oncopeltus&lt;/em&gt;, will help to identify unique features of the pest species, and thus inform management strategies for them.&lt;/p&gt;
&lt;p&gt;More generally, &lt;em&gt;Oncopeltus&lt;/em&gt; is a key species for comparisons across the insects. It is one of the few experimentally tractable hemimetabolous species that can ground comparisons with the completely metamorphosing species of the Holometabola (e.g., flies, beetles, wasps). Topics investigated in this framework include reproductive biology and development of the legs, wings, body segments, extraembryonic membranes, and overall establishment of the body plan.&lt;/p&gt;
&lt;p&gt;This dataset presents the &lt;em&gt;Oncopeltus fasciatus&lt;/em&gt; genome v1.0. This assembly version is the pre-release version, prior to filtering and quality control by the National Center for Biotechnology Information's GenBank resource (&lt;a href="http://www.ncbi.nlm.nih.gov/assembly/GCA_000696205.1/"&gt;http://www.ncbi.nlm.nih.gov/assembly/GCA_000696205.1/&lt;/a&gt;). Assembly method details will be available in a forthcoming publication.&lt;/p&gt;
&lt;p&gt;If you wish to use this dataset, please follow the Baylor College of Medicine's conditions for data use: &lt;a href="https://www.hgsc.bcm.edu/bcm-hgsc-conditions-use"&gt;https://www.hgsc.bcm.edu/bcm-hgsc-conditions-use&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;Attribution info for the milkweed bug photo:&lt;/p&gt;
&lt;p&gt;&lt;a href="http://eol.org/data_objects/24885054"&gt;Oncopeltus fasciatus&lt;/a&gt; Creative Commons Attribution Non Commercial Share Alike 2.0 (CC BY-NC-SA 2.0) © Patrick Coin&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-07-12</modified><identifier>a78d8954-c75c-464e-b58b-62d74a582e23</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>monica.poelchau@ars.usda.gov</emailAddress><fn>Poelchau, Monica</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://data.nal.usda.gov/dataset/oncopeltus-fasciatus-genome-annotations-v053_127, https://data.nal.usda.gov//dataset/oncopeltus-fasciatus-official-gene-set-v11_128</references><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Ofas_v1.0.tar__0.gz</downloadURL><format>gz</format><mediaType>application/octet-stream</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>PARTNERING OPPORTUNITIES</title><description>This feed provides readers with information regarding partnering opportunities that are available within the USDA/ARS community.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/PT1S</accrualPeriodicity><issued>2007-08-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States of America</spatial><identifier>USDA-ARS-00002</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>natasha.snuggs@ars.usda.gov</emailAddress><fn>Natasha Snuggs</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://www.ars.usda.gov/News/docs.htm?docid=6697</references><distribution><downloadURL>http://www.ars.usda.gov/business/rss/docs.cfm</downloadURL><mediaType>application/rss+xml</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>PIECE: Plant Intron Exon Comparison and Evolution Database</title><description>PIECE is a plant gene structure comparison and evolution database with 25 species. Annotated genes extracted from the species are classified based on the Pfam motif and phylogenetic trees are reconstructed for each gene category integrating exon-intron and protein motif information.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P3M</accrualPeriodicity><issued>2012-10-09</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>n/a</spatial><identifier>USDA-ARS-00033</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gerard.lazo@ars.usda.gov</emailAddress><fn>Gerard R. Lazo</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://wheat.pw.usda.gov/piece/</references><distribution><downloadURL>http://wheat.pw.usda.gov/piece/</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>PIECE: Plant Intron Exon Comparison and Evolution Database</title><description>&lt;p&gt;PIECE is a plant gene structure comparison and evolution database with 25 species. Annotated genes extracted from the species are classified based on the Pfam motif and phylogenetic trees are reconstructed for each gene category integrating exon-intron and protein motif information.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2018-01-02</modified><identifier>USDA-ARS-00033</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gerard.lazo@ars.usda.gov</emailAddress><fn>Lazo, Gerard R.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>https://wheat.pw.usda.gov/piece/</references><distribution><downloadURL>https://wheat.pw.usda.gov/piece/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>PLEXdb : Gene Expression Resources for Plant and Pant Pathogens</title><description>PLEXdb (Plant Expression Database) is a unified gene expression resource for plants and plant pathogens. PLEXdb is a genotype to phenotype, hypothesis building information warehouse, leveraging highly parallel expression data with seamless portals to related genetic, physical, and pathway data.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1D</accrualPeriodicity><issued>2004-06-10</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><identifier>USDA-ARS-00034</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>roger.wise@ars.usda.gov</emailAddress><fn>PI, Roger Wise; Curator, Sudhansu Dash</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><distribution><downloadURL>http://www.plexdb.org/index.php</downloadURL><mediaType>text/csv</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Palouse Conservation Field Station, Pullman, Washington Weather Observations</title><description>OPERATION OF THE PALOUSE, WASHINGTON 9WA240 NAPD/NTN SITE</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1D</accrualPeriodicity><issued>2009-05-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>Pullman, Washington</spatial><identifier>USDA-ARS-00031</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>carla.miles@ars.usda.gov</emailAddress><fn>Carla Miles</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://www.ars.usda.gov/AboutUs/AboutUs.htm?modecode=53-48-25-00</references><distribution><downloadURL>http://www.ars.usda.gov/Services/docs.htm?docid=18718</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Palouse Conservation Field Station, Pullman, Washington Weather Observations</title><description>&lt;p&gt;OPERATION OF THE PALOUSE, WASHINGTON 9WA240 NAPD/NTN SITE&lt;/p&gt;
</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1D</accrualPeriodicity><modified>2018-01-02</modified><identifier>USDA-ARS-00031</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>carla.miles@ars.usda.gov</emailAddress><fn>Miles, Carla</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>https://www.ars.usda.gov/AboutUs/AboutUs.htm?modecode=53-48-25-00</references><distribution><downloadURL>https://www.ars.usda.gov/Services/docs.htm?docid=18718</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Panzea</title><description>&lt;p&gt;Panzea is an NSF-funded project called "Biology of Rare Alleles in Maize and its Wild Relatives". We are investigating the connection between phenotype (what we see) and genotype (the genes underlying the phenotype) - of complex traits in maize and its wild relative, teosinte, and specifically in how rare genetic variations contribute to overall plant function. These studies will enrich our knowledge of evolution, sustainable agriculture, and genetic diversity and conservation. Over the 10 years of the project, we have trained many new scientists at all levels and generated key resources for the public, teachers, and scientific researchers.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-11</modified><identifier>3aea6b25-ff0e-4a8a-9ff5-54acf2764d85</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>mcr72@cornell.edu</emailAddress><fn>Romay, Cinta</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.panzea.org/data</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>PeanutBase</title><description>&lt;p&gt;PeanutBase (&lt;a href="https://peanutbase.org"&gt;peanutbase.org&lt;/a&gt;) is the primary genetics and genomics database for cultivated peanut and its wild relatives. It houses information about genome sequences, genes and predicted functions, genetic maps, markers, links to germplasm resources, and maps of peanut germplasm origins.&lt;/p&gt;
&lt;p&gt;This resource is being developed for U.S. and International peanut researchers and breeders, with support from The Peanut Foundation and the many contributors that have made the Peanut Genomics Initiative possible. Funded by The Peanut Foundation as part of the Peanut Genomics Initiative. Additional support from USDA-ARS. Database developed and hosted by the USDA-ARS SoyBase and Legume Clade Database group at Ames, IA, with NCGR and other participants.&lt;/p&gt;
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&lt;p&gt;This data set provides information on where samples were taken for pesticide residue, where the product came from, what type of product it was, and what residue was found on the product, for calendar years 1992 through 2015. The data can measure residue of individual compounds and classes of compounds, as well as provide information about the geographic distribution of the origin of samples, from growers, packers and distributors. The dataset also includes information on where the samples were taken, what facility was used to test them, and all testing procedures (by sample, so can be linked to the compound that is identified). The dataset also contains a reference variable for each compound that denotes the limit of detection for a pesticide/commodity pair (LOD variable). The metadata also includes EPA tolerance levels and action levels for each pesticide/commodity pair.&lt;/p&gt;
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Mapping of the Wheat D Genome (Aegilops tauschii)</title><description>This is an Aegilops tauschii genome database containing genetic and physical maps, genetic markers and genomic sequences and up-to-date releases on Ae. tauschii genome mapping.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><issued>2013-04-22</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>n/a</spatial><identifier>USDA-ARS-00032</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gerard.lazo@ars.usda.gov</emailAddress><fn>Gerard R. Lazo</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://probes.pw.usda.gov/WheatDMarker/</references><distribution><downloadURL>http://probes.pw.usda.gov/WheatDMarker/</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Physical Mapping of the Wheat D Genome (Aegilops tauschii)</title><description>&lt;p&gt;This is an Aegilops tauschii genome database containing genetic and physical maps, genetic markers and genomic sequences and up-to-date releases on Ae. tauschii genome mapping.&lt;/p&gt;
</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><modified>2018-01-02</modified><identifier>USDA-ARS-00032</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gerard.lazo@ars.usda.gov</emailAddress><fn>Lazo, Gerard R.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>https://probes.pw.usda.gov/WheatDMarker/</references><distribution><downloadURL>https://probes.pw.usda.gov/WheatDMarker/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Phytophthora Database</title><description>&lt;p&gt;This database aims to include Phytophthora collections throughout the world in order to create a global atlas of the diversity and distribution of Phytophthora species.&lt;/p&gt;
&lt;p&gt;Phytophthora, an oomycete plant pathogen, is more closely related to brown algae and diatoms than true fungi and has been placed in a separate kingdom, the Stramenopiles (Gunderson et al., 1987; Förster et al., 1990; Leipe et al., 1994). Due to their high virulence and ability to spread rapidly throughout the world, Phytophthora is one of the most important groups of plant pathogens. The destructive potential of Phytophthora diseases is well illustrated by late blight (P. infestans), which was responsible for the Irish potato famine and has again become globally problematic due to the introduction of new, fungicide-resistant lineages (Fry and Goodwin, 1997). Sudden oak death in the US (Rizzo et al., 2002) and diseases on ornamental plants in Europe (Werres et al., 2001), caused by P. ramorum, are examples of the threat to forest ecosystems and the nursery industry.&lt;/p&gt;
&lt;p&gt;Toward the goal of enhancing our ability to detect, diagnose, monitor, and manage Phytophthora diseases, we have been systematically cataloging genotypic and phenotypic data of Phytophthora spp. in a web-based database that can be easily accessed and utilized by the global community of plant health professionals. Although we are currently focusing on the genotypic characterization of the isolates archived in the World Phytophthora Collection (WPC; Phytophthora.ucr.edu) at UC-Riverside and in the Pennsylvania Department of Agriculture (PDA), we plan to include Phytophthora collections throughout the world in order to create a global atlas of the diversity and distribution of Phytophthora species. &lt;/p&gt;
&lt;p&gt;This project has been mainly supported by the NRI-Plant Biosecurity program (2005-35605-15393 and 2008-55605-18773) and currently involves the following principal investigators, including Seogchan Kang, David Geiser, and Scott Isard (Penn State), Mike Coffey (UC-Riverside), Joe Russo (ZedX, Inc.), Kelly Ivors (NC State), Frank Martin and Nik Grunwald (USDA-ARS). Grants from the Pennsylvania Department of Agriculture (ME442316 and ME 445580) and a cooperative agreement with USDA-ARS (59-1920-3-304) have also been used to support parts of this project.&lt;/p&gt;
&lt;p&gt;Partially supported by Grant from the USDA-AFRI Plant Biosecurity program supported the&lt;br /&gt;
establishment and improvement of the PD (2005-35605-15393 and 2008-55605-18773).&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-11</modified><identifier>fcad232f-7475-432a-a52f-65da4aec1611</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>sxk55@psu.edu</emailAddress><fn>Kang, Seogchan </fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://www.phytophthoradb.org</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Plant Expression Database</title><description>&lt;p&gt;PLEXdb (Plant Expression Database) is a unified gene expression resource for plants and plant pathogens. PLEXdb is a genotype to phenotype, hypothesis building information warehouse, leveraging highly parallel expression data with seamless portals to related genetic, physical, and pathway data.&lt;/p&gt;
&lt;p&gt;PLEXdb (&lt;a href="http://www.plexdb.org"&gt;http://www.plexdb.org&lt;/a&gt;), in partnership with community databases, supports comparisons of gene expression across multiple plant and pathogen species, promoting individuals and/or consortia to upload genome-scale data sets to contrast them to previously archived data. These analyses facilitate the interpretation of structure, function and regulation of genes in economically important plants. A list of Gene Atlas experiments highlights data sets that give responses across different developmental stages, conditions and tissues. Tools at PLEXdb allow users to perform complex analyses quickly and easily. The Model Genome Interrogator (MGI) tool supports mapping gene lists onto corresponding genes from model plant organisms, including rice and Arabidopsis. MGI predicts homologies, displays gene structures and supporting information for annotated genes and full-length cDNAs. The gene list-processing wizard guides users through PLEXdb functions for creating, analyzing, annotating and managing gene lists. Users can upload their own lists or create them from the output of PLEXdb tools, and then apply diverse higher level analyses, such as ANOVA and clustering. PLEXdb also provides methods for users to track how gene expression changes across many different experiments using the Gene OscilloScope. This tool can identify interesting expression patterns, such as up-regulation under diverse conditions or checking any gene’s suitability as a steady-state control.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-21</modified><identifier>57e43cbf-c4da-44d7-9e9f-a961c5be59d0</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>julied@iastate.edu</emailAddress><fn>Dickerson, Julie </fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://www.plexdb.org/index.php</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>REAP (Resilient Economic Agricultural Practices)</title><description>&lt;p&gt;REAP (Resilient Economic Agricultural Practices), formerly known as the Renewable Energy Assessment Project, was initially organized to quantitatively assess the impacts of crop residue (e.g., corn stover) on soil properties. The project's current vision is to revitalize soil health and resiliency, thereby enabling soil resources to meet expanding societal demands while safe-guarding planetary health. Goals include 1) Identifying physical, chemical, or biological parameters and index tools that quantify management effects on carbon sequestration and soil health; 2) Conducting coordinated, quantitative multi-location comparisons of business as usual vs. improved management practices designed to enhance nutrient use efficiency and soil health; 3) Identification of critical indicators and index tools to quantify site-specific soil health and water quality effects; 4) Developing, expanding, and coordinating among ARS teams providing data and databases needed to sustainably supply cellulosic-based bioenergy feedstock and other national natural resource and agricultural challenges.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/reap-resilient-economic-agricultural-practices/resource/26f352dc-0d24-4c0d-9e52-cf3940087fe6</describedBy><modified>2017-12-07</modified><spatial>POLYGON ((-127.91953146458 24.741243236783, -127.91953146458 49.989659710534, -63.583593964577 49.989659710534, -63.583593964577 24.741243236783))</spatial><identifier>c47412d9-b8ae-4731-aa75-eb39ec66fd38</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>doug.karlen@ars.usda.gov</emailAddress><fn>Karlen, Doug</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>http://dx.doi.org/10.15482/USDA.ADC/1235557</references><distribution><downloadURL>https://gpsr.ars.usda.gov/natres</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/ARS%20REAP%20Brochure%20Revised%202016.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/DET_GRACEnet_REAP.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Rainfall simulation experiments in the Southwestern USA using the Walnut Gulch Rainfall Simulator</title><description>&lt;p&gt;&lt;strong&gt;Introduction&lt;/strong&gt;&lt;br /&gt;
Preservation and management of semi-arid ecosystems requires understanding of the processes involved in soil erosion and their interaction with plant community. Rainfall simulations on natural plots provide an effective way of obtaining a large amount of erosion data under controlled conditions in a short period of time. This dataset contains hydrological (rainfall, runoff, flow velocity), erosion (sediment concentration and rate), vegetation (plant cover), and other supplementary information from 272 rainfall simulation experiments conducted on 23 rangeland locations in Arizona and Nevada between 2002 and 2013. The dataset advances our understanding of basic hydrological and biological processes that drive soil erosion on arid rangelands. It can be used to quantify runoff, infiltration, and erosion rates on a variety of ecological sites in the Southwestern USA. Inclusion of wildfire and brush treatment locations combined with long term observations makes it important for studying vegetation recovery, ecological transitions, and effect of management. It is also a valuable resource for erosion model parameterization and validation.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Instrumentation&lt;/strong&gt;&lt;br /&gt;
Rainfall was generated by a portable, computer-controlled, variable intensity simulator (Walnut Gulch Rainfall Simulator). The WGRS can deliver rainfall rates ranging between 13 and 178 mm/h with variability coefficient of 11% across 2 by 6.1 m area. Estimated kinetic energy of simulated rainfall was 204 kJ/ha/mm and drop size ranged from 0.288 to 7.2 mm. Detailed description and design of the simulator is available in Stone and Paige (2003). Prior to each field season the simulator was calibrated over a range of intensities using a set of 56 rain gages. During the experiments windbreaks were setup around the simulator to minimize the effect of wind on rain distribution. On some of the plots, in addition to rainfall only treatment, run-on flow was applied at the top edge of the plot. The purpose of run-on water application was to simulate hydrological processes that occur on longer slopes (&amp;gt;6 m) where upper portion of the slope contributes runoff onto the lower portion.&lt;/p&gt;
&lt;p&gt;Runoff rate from the plot was measured using a calibrated V-shaped supercritical flume equipped with depth gage. Overland flow velocity on the plots was measured using electrolyte and fluorescent dye solution. Dye moving from the application point at 3.2 m distance to the outlet was timed with stopwatch. Electrolyte transport in the flow was measured by resistivity sensors imbedded in edge of the outlet flume. Maximum flow velocity was defined as velocity of the leading edge of the solution and was determined from beginning of the electrolyte breakthrough curve and verified by visual observation (dye). Mean flow velocity was calculated using mean travel time obtained from the electrolyte solution breakthrough curve using moment equation.&lt;/p&gt;
&lt;p&gt;Soil loss from the plots was determined from runoff samples collected during each run. Sampling interval was variable and aimed to represent rising and falling limbs of the hydrograph, any changes in runoff rate, and steady state conditions. This resulted in approximately 30 to 50 samples per simulation.&lt;/p&gt;
&lt;p&gt;Shortly before every simulation plot surface and vegetative cover was measured at 400 point grid using a laser and line-point intercept procedure (Herrick et al., 2005). Vegetative cover was classified as forbs, grass, and shrub. Surface cover was characterized as rock, litter, plant basal area, and bare soil. These 4 metrics were further classified as protected (located under plant canopy) and unprotected (not covered by the canopy). In addition, plant canopy and basal area gaps were measured on the plots over three lengthwise and six crosswise transects.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Experimental procedure&lt;/strong&gt;&lt;br /&gt;
Four to eight 6.1 m by 2 m replicated rainfall simulation plots were established on each site. The plots were bound by sheet metal borders hammered into the ground on three sides. On the down slope side a collection trough was installed to channel runoff into the measuring flume. If a site was revisited, repeat simulations were always conducted on the same long term plots.&lt;/p&gt;
&lt;p&gt;The experimental procedure was as follows. First, the plot was subjected to 45 min, 65 mm/h intensity simulated rainfall (dry run) intended to create initial saturated condition that could be replicated across all sites. This was followed by a 45 minute pause and a second simulation with varying intensity (wet run). During wet runs two modes of water application were used as: rainfall or run-on. Rainfall wet runs typically consisted of series of application rates (65, 100, 125, 150, and 180 mm/h) that were increased after runoff had reached steady state for at least five minutes. Runoff samples were collected on the rising and falling limb of the hydrograph and during each steady state (a minimum of 3 samples). Overland flow velocities were measured during each steady state as previously described. When used, run-on wet runs followed the same procedure as rainfall runs, except water application rates varied between 100 and 300 mm/h. In approximately 20% of simulation experiments the wet run was followed by another simulation (wet2 run) after a 45 min pause. Wet2 runs were similar to wet runs and also consisted of series of varying intensity rainfalls and/or run-on inputs.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Resulting Data&lt;/strong&gt;&lt;br /&gt;
The dataset contains hydrological, erosion, vegetation, and ecological data from 272 rainfall simulation experiments conducted on 12 sq. m plots at 23 rangeland locations in Arizona and Nevada. The experiments were conducted between 2002 and 2013, with some locations being revisited multiple times.&lt;/p&gt;
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&lt;p&gt;RUSLE2 uses factors based on climate, soil erodibility, topography, cover management and support practices to compute soil erosion. Conservation planning concepts must be understood and implemented into the RUSLE2 program in order for this program to be used effectively.&lt;/p&gt;
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Data</title><description>&lt;p&gt;Simple Nucleotide Polymorphism (SNP) Data (12 chromosomes) MY2 SSRs MY2 Traits.&lt;br /&gt;
Genomics and Bioinformatics Research Unit, Stoneville, MS.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2018-01-02</modified><identifier>9841abc5-0f48-41a8-8aba-40a62058003e</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Brian.Scheffler@ARS.USDA.GOV</emailAddress><fn>Scheffler, Brian</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Rice_SNP_data_chromosomes_1-6_0.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Rice_SNP_data_chromosomes_7-12.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/MY2.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Ricebase</title><description>&lt;p&gt;Ricebase (&lt;a href="http://ricebase.org"&gt;http://ricebase.org&lt;/a&gt;) is an integrative genomic database for rice (Oryza sativa) with an emphasis on combining datasets in a way that maintains the key links between past and current genetic studies. Ricebase includes DNA sequence data, gene annotations, nucleotide variation data and molecular marker fragment size data. Rice research has benefited from early adoption and extensive use of simple sequence repeat (SSR) markers; however, the majority of rice SSR markers were developed prior to the latest rice pseudomolecule assembly. Interpretation of new research using SNPs in the context of literature citing SSRs requires a common coordinate system. A new pipeline, using a stepwise relaxation of stringency, was used to map SSR primers onto the latest rice pseudomolecule assembly. The SSR markers and experimentally assayed amplicon sizes are presented in a relational database with a web-based front end, and are available as a track loaded in a genome browser with links connecting the browser and database. The combined capabilities of Ricebase link genetic markers, genome context, allele states across rice germplasm and potentially user curated phenotypic interpretations as a community resource for genetic discovery and breeding in rice.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-21</modified><identifier>33cd18ff-9d20-4e90-b345-f5df2398128f</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jeremy.Edwards@ars.usda.gov</emailAddress><fn>Edwards, Jeremy </fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://ricebase.org/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>SNPdb: Haplotype Polymorphism in Polyploid Wheats and their Diploid Ancestors</title><description>This is a tool to discover and map single nucleotide polymorphisms in tetraploid and hexaploid wheat and to characterize genetics and structure of the genepools of wheat and wheat diploid ancestors.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><issued>2006-05-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>n/a</spatial><identifier>USDA-ARS-00035</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gerard.lazo@ars.usda.gov</emailAddress><fn>Gerard R. Lazo</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://probes.pw.usda.gov:8080/snpworld</references><distribution><downloadURL>http://probes.pw.usda.gov:8080/snpworld</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>SNPdb: Haplotype Polymorphism in Polyploid Wheats and their Diploid Ancestors</title><description>&lt;p&gt;This is a tool to discover and map single nucleotide polymorphisms in tetraploid and hexaploid wheat and to characterize genetics and structure of the genepools of wheat and wheat diploid ancestors.&lt;/p&gt;
</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><modified>2018-01-02</modified><identifier>USDA-ARS-00035</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gerard.lazo@ars.usda.gov</emailAddress><fn>Lazo, Gerard R.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>https://probes.pw.usda.gov:8080/snpworld</references><distribution><downloadURL>https://probes.pw.usda.gov:8080/snpworld</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>STEWARDS - A data delivery application for the USDA/ARS Conservation Effects Assessment Project</title><description>&lt;p&gt;A data delivery application that provides web-based access to of soil, water, climate, land management, and geospatial data produced by Conservation Effects Assessment Project (CEAP) watershed research sites across the United States.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Data access via ArcGIS Server and MS SQL Server&lt;/li&gt;
&lt;li&gt;Enhanced data searches and summary options in Tools&lt;/li&gt;
&lt;li&gt;Access to high-resolution imagery in the Map&amp;gt;Table of Contents&lt;/li&gt;
&lt;li&gt;Enhanced graphing options on the Get Data page&lt;/li&gt;
&lt;li&gt;Transparency sliders for individual map components in the Map&amp;gt;Table of Contents&lt;/li&gt;
&lt;/ul&gt;
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David</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.nrrig.mwa.ars.usda.gov/stewards/stewards.html</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>STEWARDS: Sustaining the Earth's Watersheds, Agricultural Research Data System</title><description>The USDA/ARS Conservation Effects Assessment Project Team has developed a web-based data delivery system to provide access to soil, water, climate, land-management, and socio-economic data from a number of agricultural research watersheds. The system, STEWARDS: Sustaining the Earth's Watersheds, Agricultural Research Data System, allows a variety of users to search, visualize, and download data via the Internet.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/PT1S</accrualPeriodicity><describedBy>http://www.ars.usda.gov/Research/docs.htm?docid=18645</describedBy><issued>2008-10-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>coterminus United States</spatial><temporal>1937/2012</temporal><identifier>USDA-ARS-00015</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>david.james@ars.usda.gov</emailAddress><fn>David James</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://www.ars.usda.gov/Research/docs.htm?docid=18645</references><distribution><downloadURL>http://www.nrrig.mwa.ars.usda.gov/stewards/stewards.html</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>ScaleNet: Scale Insects (Coccoidea) Database</title><description>&lt;p&gt;This database aims to provide comprehensive information on the scale insects (Coccoidea) of the world, of which there are about about 7,800 species.&lt;/p&gt;
&lt;p&gt;Scale insects vary dramatically in their appearance from very small organisms (1-2mm) that occur under wax covers (some look like oyster shells), to shiny pearl-like objects (about 5mm), to creatures covered with mealy wax. They spend most or all of their lives feeding on plants and are primarily important as plant pests in greenhouses, backyards, and on fruit trees.&lt;br /&gt;
Scale insects damage millions of dollars worth of food, ornamental, fiber and greenhouse crops each year. Until ScaleNet, information about the pests was buried in thousands of scientific journals and books, making it difficult for the average person to locate.&lt;br /&gt;
The Agricultural Research Service developed ScaleNet with colleagues in Israel and Canada. It will allow anyone to locate every scale insect that experts over the centuries have found and named. &lt;/p&gt;
&lt;p&gt;Through keyword searches and other queries, ScaleNet provides comprehensive information including the insects' biology, classification, naming history, distribution, plant hosts, economic importance, controls and scientific literature about them. &lt;/p&gt;
&lt;p&gt;Currently, information can be retrieved for 49 families, namely Aclerdidae (grass scales), Albicoccidae, Arnoldidae, Asterolecaniidae (pit scales), Beesoniidae, Burmacoccidae, Callipappidae, Carayonemidae, Cerococcidae (ornate pit scales), Coccidae (soft scales), Coelostomidiidae, Conchaspididae (false armoured scales), Dactylopiidae (cochineal scales), Diaspididae (armoured scale insects), Electrococcidae, Eriococcidae (felt scales), Grimaldiellidae, Grohnidae, Halimococcidae, Hammanococcidae, Inkaidae, Jersicoccidae, Kermesidae (gall-like scales), Kerriidae (lac scales), Kukaspididae, Kuwaniidae, Labiococcidae, Lebanococcidae, Lecanodiaspididae (false pit scales), Lithuanicoccidae, Marchalinidae, Margarodidae (ground pearls), Matsucoccidae (bast scales), Micrococcidae, Monophlebidae, Ortheziidae (ensign scales), Pennygullaniidae, Phenacoleachiidae, Phoenicococcidae (date scales), Pityococcidae, Pseudococcidae (mealybugs), Putoidae, Rhizoecidae, Serafinidae, Steingeliidae, Stictococcidae, Stigmacoccidae, Weitschatidae, and Xylococcidae. &lt;/p&gt;
&lt;p&gt;The Reference database of ScaleNet includes about 25,000 references, the majority of which have been published since Linnaeus (1758). However, it also contains several pre-Linnean publications that are relevant to the nomenclature and systematics of the Coccoidea.&lt;/p&gt;
&lt;p&gt;This is a re-implementation of the original version of ScaleNet, a FoxPro application developed by Yair Ben-Dov, Douglass R. Miller and Gary A. P. Gibson with major support from the United States-Israel Binational Agricultural Research and Development Fund. The original application was heavily used by insect scientists and insect identifiers for close to two decades. This version was built by Mayrolin García and Nate Hardy using open source software (Linux, SQLite, Django (a Python web framework), and Apache2). Its development is supported by a Specific Cooperative Research agreement between Gary Miller at the USDA Systematic Entomology Lab and Nate Hardy at Auburn University. As part of the re-implementation, the data model was normalized, and the scientific names and classifications of ecological associates were updated and standardized.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-11</modified><identifier>984fa6a7-a97a-4e48-b3f8-32fbdcfb289f</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>bdenno12@gmail.com</emailAddress><fn>Denno, Barb</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://scalenet.info/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Soil - Plant - Atmosphere - Water Field &amp;amp; Pond Hydrology</title><description>&lt;p&gt;SPAW is a daily hydrologic budget model for agricultural fields and ponds (wetlands, lagoons, ponds and reservoirs). Included are irrigation scheduling and soil nitrogen. Data input and results are graphical screens.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-21</modified><identifier>08a3572a-1295-4bb0-8223-dceeb6c21c4d</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Rob.Parry@ars.usda.gov</emailAddress><fn>Parry, Rob</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://hrsl.ba.ars.usda.gov/SPAW/Index.htm</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Soil erosion and organic matter for central Great Plains cropping systems under residue removal</title><description>&lt;p&gt;This study examined average annual changes in soil erosion from rainfall and wind forces, and trends in soil organic carbon (SOC).&lt;/p&gt;
&lt;p&gt;The diversity of geo-climatic land bases and potential feedstocks within the United States Central Great Plains (CGP) requires sustainable production that provides optimal resource utilization while maintaining or enhancing localized soil and environmental quality as much as possible. This study examined average annual changes in soil erosion from rainfall and wind forces and trends in soil organic carbon (SOC) as a function of commodity and/or bioenergy-based crop rotations, yield variations, and different field management practices, including residue removal across all land capability class (LCC) I-VIII soils in select areas of the CGP. Soil erosion and SOC (proxied by a soil conditioning index, or SCI) were analyzed on individual soil map unit components using the Revised Universal Soil Loss Equation, Version 2 (RUSLE2) and Wind Erosion Prediction System (WEPS) models.&lt;/p&gt;
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is the USDA-ARS soybean genetics and genomics database. Contents include the genome sequence, the genetic map (markers, QTL, etc.), metabolic pathways, transcription and expression data, mutant information, and selected analysis tools and community resources.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/PT1S</accrualPeriodicity><issued>1983-12-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><identifier>USDA-ARS-00007</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>david.grant@ars.usda.gov</emailAddress><fn>David Grant</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><distribution><downloadURL>http://www.soybase.org/dlpages/index.php</downloadURL><mediaType>text/html</mediaType><title>SoyBase</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Stuttgart local weather data archive</title><description>Weather data from two weather stations at Stuttgart Rice Research and Extension center are archived. Current air temperature, relative humidity, wind speed, solar radiation and soil temperature data are provided by station and are displayed and archived either hourly or daily. Historical weather data goes back to 2008.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1D</accrualPeriodicity><issued>2008-05-02</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>Local Rice Research and Extension Center</spatial><temporal>2008/2014</temporal><identifier>USDA-ARS-00000</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>lorie.bernhardt@ars.usda.gov</emailAddress><fn>Lorie Bernhardt</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://www.campbellsci.com/</references><distribution><downloadURL>http://www.ars.usda.gov/Main/Docs.htm?docid=18305</downloadURL><mediaType>text/csv</mediaType><title>Comma Seperated Values File</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Stuttgart local weather data archive</title><description>&lt;p&gt;Weather data from two weather stations at Stuttgart Rice Research and Extension center are archived. Current air temperature, relative humidity, wind speed, solar radiation and soil temperature data are provided by station and are displayed and archived either hourly or daily. Historical weather data goes back to 2008.&lt;/p&gt;
</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1D</accrualPeriodicity><modified>2018-01-02</modified><identifier>USDA-ARS-00000</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>lorie.bernhardt@ars.usda.gov</emailAddress><fn>Bernhardt, Lorie</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>https://www.campbellsci.com/</references><distribution><downloadURL>https://www.ars.usda.gov/Main/Docs.htm?docid=18305</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Switchgrass ESTs and SNPs</title><description>&lt;p&gt;As part of our project, “Developing Association Mapping in Polyploid Perennial Biofuel Grasses” (DOE-USDA Plant Feedstock Genomics for Bioenergy Program grant DE-A102-07ER64454)*, two SNP discovery initiatives were carried out. The earlier one (2009) was an approach based on EST sequences. The latest initiative (2011-12) adopted a more powerful approach, based on GBS (Genotyping by Sequencing). We believe that the SNP markers identified in these studies will greatly enhance breeding efforts that target the improvement of key biofuel traits and the development of new switchgrass cultivars.&lt;/p&gt;
&lt;p&gt;To enable genome-wide association study (GWAS) and genomic selection (GS) in switchgrass, we genotyped a full-sib population (n =130), a half-sib population (n =168) and association populations (66 pops, n =540). The parents of the linkage populations are upland tetraploids. The association populations are primarily of the upland ecotype, both tetraploid and octoploid, with a few lowland tetraploids as well. A total of 350 GB of sequence was generated from 840 individuals using GBS. Over 1.2 million putative SNPs were discovered with the UNEAK pipeline. In addition, ultra-high density paternal and maternal linkage maps, of 41K and 46K SNPs, respectively, were also constructed based on the conserved synteny between switchgrass and foxtail millet.&lt;/p&gt;
&lt;p&gt;The data associated with this study are listed here:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Genotype calls from the full-sib population [65 MB]&lt;/li&gt;
&lt;li&gt;Genotype calls from the half-sib population [80 MB]&lt;/li&gt;
&lt;li&gt;Genotype calls from the association populations [164 MB]&lt;/li&gt;
&lt;li&gt;Paternal and maternal linkage maps of the full-sib population [8 MB]&lt;/li&gt;
&lt;/ul&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-21</modified><identifier>af0fd553-0379-47de-a60b-4c2a1b825746</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>mcr72@cornell.edu</emailAddress><fn>Romay, Cinta</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>http://www.maizegenetics.net/</references><distribution><downloadURL>http://www.maizegenetics.net/switchgrass-data</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://datacommons.cyverse.org/browse/iplant/home/shared/panzea/genotypes/GBS/switchgrass/Lu_PLoSGenet_2013_switchgrassGenos20150612.zip</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Tesauro Agricola (Spanish version of NAL Thesaurus)</title><description>Tesauro Agricola was first released by the National Agricultural Library in 2007. The thesaurus has in depth coverage of agriculture, biology and related disciplines. It contains over 73,000 terms, including 26,000 cross references and is arranged into 17 subject categories. It is annually updated each January. This thesaurus is a cooperative product of the National Agriculture Library and the Inter-American Institute for Cooperation on Agriculture (IICA). There is a parallel English version, called NAL Agricultural Thesaurus.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://agclass.nal.usda.gov/structure_es.shtml</describedBy><issued>2002-01-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>global</spatial><identifier>USDA-ARS-00036</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Lori.Finch@ars.usda.gov</emailAddress><fn>Lori Finch</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://agclass.nal.usda.gov/structure_es.shtml</references><distribution><downloadURL>http://agclass.nal.usda.gov/download_es.shtml</downloadURL><mediaType>text/html</mediaType><title>Tesauro Agricola (Spanish version of NAL Thesaurus)</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>The Hordeum Toolbox</title><description>THT hosts data generated by the Barley Coordinated Agricultural Project (CAP), and contains SNP, phenotypic, and pedigree data from breeding germplasm in the Barley CAP. This effort is now being carried forward as part of the Triticeae CAP in the T3 databases.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><issued>2009-10-29</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>n/a</spatial><identifier>USDA-ARS-00037</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gerard.lazo@ars.usda.gov</emailAddress><fn>Gerard R. Lazo</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://hordeumtoolbox.org</references><distribution><downloadURL>http://hordeumtoolbox.org</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>The Porcine Translational Research Database</title><description>&lt;p&gt;The data in the Porcine Translational Research Database is supported by &amp;gt;5800 references, and contains 65 data fields for each entry, including &amp;gt;9700 full length (5′ and 3′) unambiguous pig sequences, &amp;gt;2400 real time PCR assays and reactivity information on &amp;gt;1700 antibodies. It also contains gene and/or protein expression data for &amp;gt;2200 genes and identifies and corrects errors (gene duplications artifacts, mis-assemblies, mis-annotations, and incorrect species assignments) for &amp;gt;2,000 porcine genes. This database is the largest manually curated database for any single veterinary species and is unique among porcine gene databases in regard to linking gene expression to gene function, identifying related gene pathways, and connecting data with other porcine gene database.&lt;/p&gt;
</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><modified>2017-12-06</modified><identifier>40fc18c0-27b7-4c87-bbcb-d304ff613a1d</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Harry.Dawson@ARS.USDA.GOV</emailAddress><fn>Dawson, Harry</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.ars.usda.gov/northeast-area/beltsville-md/beltsville-human-nutrition-research-center/diet-genomics-and-immunology-laboratory/docs/dgil-porcine-translational-research-database/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>The Southwest Watershed Research Center Data Access Project (DAP)</title><description>&lt;p&gt;The USDA-ARS Southwest Watershed Research Center (SWRC) operates the Walnut Gulch Experimental Watershed (WGEW) in southeastern Arizona as an outdoor laboratory for studying semiarid rangeland hydrologic, ecosystem, climate, and erosion processes.&lt;/p&gt;
&lt;p&gt;Since its establishment in 1953, the SWRC in Tucson, Arizona, has collected, processed, managed, and disseminated high-resolution, spatially distributed hydrologic data in support of the center’s mission. Data management at the SWRC has evolved through time in response to new computing, storage, and data access technologies. In 1996, the SWRC initiated a multiyear project to upgrade rainfall and runoff sensors and convert analog systems to digital electronic systems supported by data loggers. This conversion was coupled with radio telemetry to remotely transmit recorded data to a central computer, thus greatly reducing operational overhead by reducing labor, maintenance, and data processing time. A concurrent effort was initiated to improve access to SWRC data by creating a system based on a relational database supporting access to the data via the Internet. An SWRC team made up of scientists, IT specialists, programmers, hydrologic technicians, and instrumentation specialists was formed. This effort is termed the Southwest Watershed Research Center Data Access Project (DAP).&lt;/p&gt;
&lt;p&gt;The goal of the SWRC DAP is to efficiently disseminate data to researchers; land owners, users, and managers; and to the public. Primary access to the data is provided through a Web-based user interface. In addition, data can be accessed directly from within the SWRC network. The first priority for the DAP was to assimilate and make available rainfall and runoff data collected from two instrumented field sites, the WGEW near Tombstone, Arizona, and the Santa Rita Experimental Range (SRER) south of Tucson, Arizona.&lt;/p&gt;
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NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>phil.heilman@ars.usda.gov</emailAddress><fn>Heilman, Philip </fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.tucson.ars.ag.gov/dap</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>The Triticeae Toolbox</title><description>The T3 project hosts data generated by the Triticeae Coordinated Agricultural Project (CAP) and contains SNP, phenotypic, and pedigree data from wheat and barley germplasm in the Triticeae CAP integrating rapidly expanding DNA marker and sequence data with traditional phenotypic data to provide access to predictive analyses mapping genotype to phenotype and enabling breeders to select on marker data alone.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><issued>2011-01-26</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>n/a</spatial><identifier>USDA-ARS-00038</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gerard.lazo@ars.usda.gov</emailAddress><fn>Gerard R. Lazo</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://wheat.pw.usda.gov</references><distribution><downloadURL>http://triticeaetoolbox.org</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>The Wheat and Barley Scab Initiative</title><description>The goal of the U.S. Wheat and Barley Scab Initiative (USWBSI) is to develop effective control measures that minimize the threat of Fusarium head blight (scab), including the reduction of mycotoxins, to the producers, processors, and consumers of wheat and barley. Community activities are reported here.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><issued>1997-11-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>n/a</spatial><identifier>USDA-ARS-00039</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gerard.lazo@ars.usda.gov</emailAddress><fn>Gerard R. Lazo</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://scabusa.org</references><distribution><downloadURL>http://scabusa.org</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>The Wheat and Barley Scab Initiative</title><description>&lt;p&gt;The goal of the U.S. Wheat and Barley Scab Initiative (USWBSI) is to develop effective control measures that minimize the threat of Fusarium head blight (scab), including the reduction of mycotoxins, to the producers, processors, and consumers of wheat and barley. Community activities are reported here.&lt;/p&gt;
</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><modified>2018-01-02</modified><identifier>USDA-ARS-00039</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gerard.lazo@ars.usda.gov</emailAddress><fn>Lazo, Gerard R.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>https://scabusa.org</references><distribution><downloadURL>https://scabusa.org</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Transformative Research for Large Genome Physical Maps</title><description>The main goal of the project is to construct and utilize high-resolution genome-wide RH-based physical maps of the wheat D-genome chromosomes to facilitate the construction of sequence-ready physical maps. This research provides an unprecedented view into the evolution of cereal genomes. Importantly, the methodology is being developed to be applied to other large and complex genomes such as polyploid wheat.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P3M</accrualPeriodicity><issued>2009-12-03</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>n/a</spatial><identifier>USDA-ARS-00040</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gerard.lazo@ars.usda.gov</emailAddress><fn>Gerard R. Lazo</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://avena.pw.usda.gov/RHmapping/</references><distribution><downloadURL>http://avena.pw.usda.gov/RHmapping/</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Transformative Research for Large Genome Physical Maps</title><description>&lt;p&gt;The main goal of the project is to construct and utilize high-resolution genome-wide RH-based physical maps of the wheat D-genome chromosomes to facilitate the construction of sequence-ready physical maps. This research provides an unprecedented view into the evolution of cereal genomes. Importantly, the methodology is being developed to be applied to other large and complex genomes such as polyploid wheat.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2018-01-02</modified><identifier>USDA-ARS-00040</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gerard.lazo@ars.usda.gov</emailAddress><fn>Lazo, Gerard R.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>https://avena.pw.usda.gov/RHmapping/</references><distribution><downloadURL>https://avena.pw.usda.gov/RHmapping/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Treehopper Immatures Project</title><description>&lt;p&gt;The attached, linked files provide the characters and character matrix for publications describing immatures of the New World treehoppers (Membracidae, Melizoderdae, and Aetalionidae) by McKamey, Wallner, Porter, Wallace, and Phillips, or some combination thereof.&lt;/p&gt;
&lt;p&gt;Characters for each body part are assigned a number, and each character within each body part are assigned a letter, because additional characters (and states) are expected to be discovered with each newly examined tribe or subfamily and it is desirable to keep all characters pertaining to a body part together. With each publication, both of these linked files will be updated.&lt;/p&gt;
&lt;p&gt;Presently, the characters and matrix cover the tribes Amastrini and Thuridini (Smiliinae).&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-20</modified><identifier>8299a84b-d85d-4eb4-96a4-c700bf766bfd</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Howard.Zhang@ars.usda.gov</emailAddress><fn>Zhang, Howard</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.ars.usda.gov/northeast-area/beltsville-md/beltsville-agricultural-research-center/systematic-entomology-laboratory/docs/treehopper-immatures-project/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/2015%20Characters.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/May%202015%20matrix.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>U.S. Department of Agriculture (USDA) Pomological Watercolor Collection</title><description>&lt;p&gt;The USDA Pomological Watercolor Collection is a collection of original watercolors, lithographs, and photographs documenting fruit and nut varieties developed by growers, including USDA plant explorers, around the turn of the 20th century. Technically accurate paintings were used to create lithographs illustrating USDA bulletins, yearbooks, and other series distributed to growers and gardeners across America.&lt;/p&gt;
&lt;p&gt;Coverage: 1886 to 1942, with the majority created between 1894 and 1916.&lt;/p&gt;
&lt;p&gt;The collection contains 7,584 watercolor paintings, lithographs and line drawings, including 3,807 images of apples. The plant specimens illustrated originated in 29 countries and 51 states and territories in the U.S.&lt;/p&gt;
&lt;p&gt;The paintings were created by approximately twenty-one artists commissioned by USDA for this purpose. Some works are not signed.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-07-12</modified><identifier>faead6f6-6f11-4970-b60f-66e8a2039094</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Susan.Fugate@ars.usda.gov</emailAddress><fn>Fugate, Susan</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://usdawatercolors.nal.usda.gov/pom/home.xhtml</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>U.S. National Fungus Collections</title><description>&lt;p&gt;The U.S. National Fungus Collections (BPI) are the “Smithsonian for fungi” and are the repository for over one million fungal specimens worldwide - the largest such collections in the world. The collection includes preserved organisms, their parts and products, and their associated data. Information associated with these specimens constitute an enormous data resource, especially about plant-associated fungi. The collections document fungi through time and space for the past 200 years.&lt;/p&gt;
&lt;p&gt;Data from the labels of more than 750,000 of the specimens have been entered into a database. These labels have information on the host on which the fungus was found and the locality in which the specimen was collected. Sixty percent of these specimens are from the United States and thus represent a large body of information about the fungi in this country.&lt;/p&gt;
&lt;p&gt;Data entry has been completed for the Uredinales (rusts), the Ustilaginales (smuts), the Polyporales (polypores), the Deuteromycetes (imperfect fungi), the Ascomycetes, and the C.G. Lloyd collections. Recent progress has been made in the computerization of specimens of the agarics and the "lower" fungi including the Oomycetes and Chytridiomycetes.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-05-10</modified><identifier>44f760d4-cbca-453b-92a9-867b52402279</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>lisa.castlebury@ars.usda.gov</emailAddress><fn>Castlebury, Lisa A.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://usfsc.grscicoll.org/cool/rhbz-gbz9</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ars.usda.gov/northeast-area/beltsville-md/beltsville-agricultural-research-center/systematic-mycology-microbiology-laboratory/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://nt.ars-grin.gov/fungaldatabases/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://nt.ars-grin.gov/fungaldatabases/specimens/specimens.cfm</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>U.S. National Insect Collection Database</title><description>&lt;p&gt;This subset of the U.S. National Insects Collection, which is primarly housed by the Smithsonian Institution's National Museum of Natural History, comprises the Coccomorpha (scale insects), Aphidomorpha (aphids), Alyrodomorpha (whiteflies), Psyllomorpha (psyllids), Thysanoptera (thrips), and Acari (mites) collections.&lt;/p&gt;
&lt;p&gt;Information about the Aphidomorpha (Aphididae, Adelgidae, and Phylloxeridae) samples is available through this database.&lt;/p&gt;
&lt;p&gt;To search for one of these subgroups, use the "family" dropdown on one of the search subpages. You can search by Field or Keywords, and may also restrict your search to Genetic Samples, Primary Type Specimens, Species Inventory, Specimen Inventory, records with images, records with geo-referenced localities, or Illustrations.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-05-10</modified><identifier>a3ac6b20-4091-4344-8053-ebecc873a478</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gary.miller@ars.usda.gov</emailAddress><fn>Miller, Gary L</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://usfsc.grscicoll.org/cool/tqd2-jfqb</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://collections.nmnh.si.edu/search/ento/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>UNSODA 2.0: Unsaturated Soil Hydraulic Database. Database and program for indirect methods of estimating unsaturated hydraulic properties</title><description>&lt;p&gt;This database contains measured soil water retention, hydraulic conductivity, and water diffusivity data, as well as pedological information of some 790 soil samples from around the world.&lt;/p&gt;
&lt;p&gt;Quantifying water flow and chemical transport in the vadose zone typically requires knowledge of the unsaturated soil hydraulic properties. The UNsaturated SOil hydraulic DAtabase (UNSODA) was developed to provide a source of unsaturated hydraulic data and some other soil properties for practitioners and researchers. A first MS-DOS version of the database was released in 1996. It has been applied in numerous studies. In this paper, we describe the second version (UNSODA V2.0) for use with Microsoft Access-97®1. The format and structure of the new database have been modified to provide additional and more convenient options for data searches, to provide compatibility with other programs for easy loading and downloading of data, and to allow users to customise the contents and look of graphical output. This paper reviews the structure and contents of the database as well as the operations that can be performed on the different data types in UNSODA V2.0. The use and application of the new database are illustrated with two examples. The retrieval of data is briefly illustrated, followed by a more detailed example regarding the interpolation of soil particle-size distribution data obtained according to different national definitions of particle-size classes. The interpolation procedure, which is based on finding similar particle-size distribution curves from a large European data set, also performed well for soils that originate from other geographical areas.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2018-01-02</modified><identifier>cffa4828-efe6-49ed-8171-606c5a8c78c9</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>todd.skaggs@ars.usda.gov</emailAddress><fn>Skaggs, Todd</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.ars.usda.gov/services/software/download.htm?softwareid=106</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/UNSODA%202.0%20README.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA ARS Image Gallery</title><description>&lt;p&gt;This Image Gallery is provided as a complimentary source of high-quality digital photographs available from the Agricultural Research Service information staff.&lt;br /&gt;
Photos, (over 2,000 .jpegs) in the Image Gallery are copyright-free, public domain images unless otherwise indicated.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2018-01-02</modified><identifier>794dc10b-6a75-460a-9bb3-5c9db6714a18</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>photounit@ars.usda.gov</emailAddress><fn>ARS Information Staff</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.ars.usda.gov/News/docs.htm?docid=23559</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA ARS Maize Modelling Dataset, Greeley, Colorado</title><description>&lt;p&gt;A Modelling dataset containing a DSSAT cultivar file, AgMIPS platform dome code and USDA ARS LIRF drip irrigated field experiment in Greeley, Colorado average Maize biomass and yield by treatment. Irrigation treatments vary from 40% to 100% of ET. This dataset is used with the DSSAT and RZWQM2 models as part of an Agricultural Model Inter-comparison and Improvement Project (AgMIP) data node maintained at National Agricultural Library for USDA-AgMIP data. Additional data are available from &lt;a href="https://data.agmip.org/"&gt;https://data.agmip.org/&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;The complete experiment dataset in readable Excel format is USDA-ARS Colorado Maize Water Productivity Dataset 2008-2011 and can be found at &lt;a href="http://dx.doi.org/10.15482/USDA.ADC/1254006"&gt;http://dx.doi.org/10.15482/USDA.ADC/1254006&lt;/a&gt;&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2018-01-18</modified><identifier>5a13617c-b0a9-4384-b310-ff4b8fd690ff</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Pat.Bartling@ARS.USDA.GOV</emailAddress><fn>Bartling, Patricia</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://data.nal.usda.gov/dataset/usda-ars-colorado-maize-water-productivity-dataset-2008-2011_2860, http://tools.agmip.org/quadui.php</references><distribution><downloadURL>https://agmip.nal.usda.gov/api/cropsitedb/2/dataset/ddd139be-a312-46cf-89dc-e2be8ecdaff5</downloadURL><format>zip</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/agmip_download.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA ARS National Rhizobium Germplasm Collection</title><description>&lt;p&gt;Our mission is to support application of low-input sustainable agriculture by: Providing, to the best of our ability, technical information about rhizobia, their preservation, and cultural and symbiotic characteristics; Acquiring and preserving the nitrogen-fixing bacterial symbionts of leguminous plants with the goal of maintaining widest possible genetic diversity; Maintaining quality control of new and existing germplasm by evaluation of microbiological purity and by examination of nodulation of the original trap host plant; Distributing cultures to the public and private sectors without charge for these services; Developing or adapting techniques in molecular biology for the determination of genetic diversity of rhizobia, to investigate interactions with their host plants and to identify novel characteristics; Acquiring, maintaining, evaluating quality, and distributing type strains for all the different taxa of nitrogen-fixing legume symbionts; Participating in the UNESCO program.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-21</modified><identifier>744f2672-ff6d-4329-9442-8f209ae5fb1f</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Patrick.Elia@ars.usda.gov</emailAddress><fn>Elia, Patrick</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://sgil.ba.ars.usda.gov/pberkum/Public/collection/index.htm</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Agricultural Research Service- Patented Animal Health Technologies</title><description>Patented technologies on animal health that are available for licensing</description><accessLevel>public</accessLevel><modified>2014-05-14</modified><identifier>USDA-ARS-00045</identifier><publisher><name>Agricultural Research Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Robert.Griesbach@ars.usda.gov</emailAddress><fn>Dr. Robert Griesbach</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><distribution><downloadURL>https://inventory.data.gov/dataset/765bb793-21ff-4c37-a398-6d6e999899a0/resource/550bac84-14ef-4aab-8754-a5346b96a30f/download/animalhealthnew.xml</downloadURL><format>xml</format><mediaType>application/xml</mediaType><title>Patented Animal Health Technologies</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Agricultural Research Service- Patented BioEnergy Technologies</title><description>Patented technologies on BioEnergy that are available for licensing</description><accessLevel>public</accessLevel><modified>2014-05-14</modified><identifier>USDA-ARS-00044</identifier><publisher><name>Agricultural Research Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>robert.griesbach@ars.usda.gov</emailAddress><fn>Dr. Robert Griesbach</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><distribution><downloadURL>https://inventory.data.gov/dataset/4a57f749-6d14-47f4-b39e-6f9f7d2d5dce/resource/b9408f2a-5524-4773-85ae-688ce62cc428/download/bioenergynew.xml</downloadURL><format>xml</format><mediaType>application/xml</mediaType><title>Patented Bioenergy</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Agricultural Research Service- Patented Crop Production Technologies</title><description>Patented technologies on crop production that are available for licensing</description><accessLevel>public</accessLevel><modified>2014-05-14</modified><identifier>USDA-ARS-00046</identifier><publisher><name>Agricultural Research Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Robert.Griesbach@ars.usda.gov</emailAddress><fn>Dr. Robert Griesbach</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><distribution><downloadURL>https://inventory.data.gov/dataset/3dbfa204-8d35-4f9e-9919-b8b4f11487c9/resource/a309177d-1d74-4bfb-a8bc-f939a4144f77/download/cropproductionnew.xml</downloadURL><format>xml</format><mediaType>application/xml</mediaType><title>Patented Crop Production</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Agricultural Research Service- Patented Crop Protection Technologies</title><description>Patented technologies on crop protection that are available for licensing</description><accessLevel>public</accessLevel><modified>2014-05-14</modified><identifier>USDA-ARS-00047</identifier><publisher><name>Agricultural Research Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Robert.Griesbach@ars.usda.gov</emailAddress><fn>Dr. Robert Griesbach</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><distribution><downloadURL>https://inventory.data.gov/dataset/cadd660f-df56-458a-83df-ccc57c88e776/resource/0500e1a6-40a0-424d-9cb2-8b9f5bfb1137/download/cropprotectionnew.xml</downloadURL><format>xml</format><mediaType>application/xml</mediaType><title>Patented Crop Protection</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Agricultural Research Service- Patented Environment Technologies</title><description>Patented technologies on environment that are available for licensing</description><accessLevel>public</accessLevel><modified>2014-05-14</modified><identifier>USDA-ARS-00048</identifier><publisher><name>Agricultural Research Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Robert.Griesbach@ars.usda.gov</emailAddress><fn>Dr. Robert Griesbach</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><distribution><downloadURL>https://inventory.data.gov/dataset/5db978cd-fa1d-4e27-9971-f1802261a6d2/resource/f7b29c83-cb89-48ce-82a6-f29e063c22f8/download/environmentalnew.xml</downloadURL><format>xml</format><mediaType>application/xml</mediaType><title>Patented Environment</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Agricultural Research Service- Patented Food Processing &amp; Products Technologies</title><description>Patented technologies on food processing and products that are available for licensing</description><accessLevel>public</accessLevel><modified>2014-05-14</modified><identifier>USDA-ARS-00049</identifier><publisher><name>Agricultural Research Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Robert.Griesbach@ars.usda.gov</emailAddress><fn>Dr. Robert Griesbach</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><distribution><downloadURL>https://inventory.data.gov/dataset/72200617-2c67-4535-b424-fb4cd7e928c8/resource/5f5c5e6c-5cc7-4e4d-b3b1-9e1fc221ace7/download/foodprocessingnew.xml</downloadURL><format>xml</format><mediaType>application/xml</mediaType><title>Patented Food Process and Production</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Agricultural Research Service- Patented New Materials Technologies</title><description>Patented technologies on new materials that are available for licensing</description><accessLevel>public</accessLevel><modified>2014-05-14</modified><identifier>USDA-ARS-00051</identifier><publisher><name>Agricultural Research Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Robert.Griesbach@ars.usda.gov</emailAddress><fn>Dr. Robert Griesbach</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><distribution><downloadURL>https://inventory.data.gov/dataset/9133e242-c8ff-494e-ac72-0b2d9a769e30/resource/630e3f76-193d-4a69-9e86-179d56c607af/download/newmaterialsnew.xml</downloadURL><format>xml</format><mediaType>application/xml</mediaType><title>Patented New Materials</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Agricultural Research Service- Patented Plant Genes Technologies</title><description>Patented technologies on plant genes that are available for licensing</description><accessLevel>public</accessLevel><modified>2014-05-14</modified><identifier>USDA-ARS-00050</identifier><publisher><name>Agricultural Research Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Robert.Griesbach@ars.usda.gov</emailAddress><fn>Dr. Robert Griesbach</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><distribution><downloadURL>https://inventory.data.gov/dataset/5480c46a-7b5b-4dbc-8102-1f424ab6b1d6/resource/0ae49000-756e-4564-a3b3-dc3d1a344ad3/download/plantgenesnew.xml</downloadURL><format>xml</format><mediaType>application/xml</mediaType><title>Patented Plant Genes</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Database for the Choline Content of Common Foods</title><description>The database contains values for six choline metabolites (Betaine, glycerophosphocholine, phosphocholine, phosphatidylcholine, sphingomyelin, and total choline) for 634 food items.</description><accessLevel>public</accessLevel><accrualPeriodicity>irregular</accrualPeriodicity><describedBy>http://www.ars.usda.gov/SP2UserFiles/Place/12354500/Data/Choline/Choln02.pdf</describedBy><issued>2008-01-15</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>n/a</spatial><identifier>USDA-ARS-00011</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>david.haytowitz@ars.usda.gov</emailAddress><fn>David B. Haytowitz</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://www.ars.usda.gov/SP2UserFiles/Place/12354500/Data/Choline/Choln02.pdf</references><distribution><downloadURL>http://www.ars.usda.gov/SP2UserFiles/Place/12354500/Data/Choline/choln02.mdb</downloadURL><mediaType>application/msaccess</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Database for the Flavonoid Content of Selected Foods</title><description>The database contains values for 500 food items for five subclasses of flavonoids (flavonols, flavones, flavanones, flava-3-ols.anthocyanadins)</description><accessLevel>public</accessLevel><accrualPeriodicity>irregular</accrualPeriodicity><describedBy>http://www.ars.usda.gov/SP2UserFiles/Place/12354500/Data/Flav/Flav_R03.pdf</describedBy><issued>2011-09-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>n/a</spatial><identifier>USDA-ARS-00010</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>david.haytowitz@ars.usda.gov</emailAddress><fn>David B. Haytowitz</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://www.ars.usda.gov/SP2UserFiles/Place/12354500/Data/Flav/Flav_R03.pdf</references><distribution><downloadURL>http://www.ars.usda.gov/Services/docs.htm?docid=6231</downloadURL><mediaType>application/msaccess</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Database for the Flavonoid Content of Selected Foods. Release 3.2 (November 2015)</title><description>&lt;p&gt;This database contains values for 506 food items for 5 subclasses of flavonoids.&lt;/p&gt;
&lt;p&gt;Those 5 subclasses are as follows:
&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;FLAVONOLS: Quercetin, Kaempferol, Myricetin, Isorhamnetin&lt;/li&gt;
&lt;li&gt;FLAVONES: Luteolin, Apigenin&lt;/li&gt;
&lt;li&gt;FLAVANONES: Hesperetin, Naringenin, Eriodictyol&lt;/li&gt;
&lt;li&gt;FLAVAN-3-OLS: (+)-Catechin, (+)-Gallocatechin, (-)-Epicatechin, (-)-Epigallocatechin, (-)-Epicatechin 3-gallate, (-)-Epigallocatechin 3-gallate, Theaflavin, Theaflavin 3-gallate, Theaflavin 3'-gallate, Theaflavin 3,3' digallate, Thearubigins&lt;/li&gt;
&lt;li&gt;ANTHOCYANIDINS: Cyanidin, Delphinidin, Malvidin, Pelargonidin, Peonidin, Petunidin&lt;/li&gt;
&lt;/ul&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/usda-database-flavonoid-content-selected-foods-release-32-november-2015/resource/da4475b5-a2a1-48dc-8b3a-a5e2142467f1</describedBy><modified>2017-11-17</modified><identifier>8758480c-46ce-4780-92bc-6779167b7a0e</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>david.haytowitz@ars.usda.gov</emailAddress><fn>Haytowitz, David B.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://data.nal.usda.gov/dataset/usda-database-flavonoid-content-selected-foods-release-31-may-2014, http://www.ars.usda.gov/Services/docs.htm?docid=24953</references><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Flav3.2.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Flav/Flav_R03-2.accdb</downloadURL><format>accdb</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Flav_R03_DD.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Database for the Isoflavone Content of Selected Foods, Release 2.0</title><description>This database contains data on the isoflavone content of 557 food items. Isoflavones included in the database are daidzein, genistein, glycitein and total isoflavones. Other phytoestrogens included in the database are coumestrol, biochanin A, and formononetin.</description><accessLevel>public</accessLevel><accrualPeriodicity>irregular</accrualPeriodicity><describedBy>http://www.ars.usda.gov/SP2UserFiles/Place/12354500/Data/isoflav/Isoflav_R2.pdf</describedBy><issued>2008-09-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>n/A</spatial><identifier>USDA-ARS-00017</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>david.haytowitz@ars.usda.gov</emailAddress><fn>David B. Haytowitz</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://www.ars.usda.gov/SP2UserFiles/Place/12354500/Data/isoflav/Isoflav_R2.pdf</references><distribution><downloadURL>http://www.ars.usda.gov/Services/docs.htm?docid=6382</downloadURL><mediaType>application/msaccess</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Database for the Isoflavone Content of Selected Foods, Release 2.1 (November 2015)</title><description>&lt;p&gt;This database contains data on the isoflavone content of 560 food items. Isoflavones included in the database are daidzein, genistein, glycitein and total isoflavones. Other phytoestrogens (coumestrol, biochanin A, and formononetin) are included as a separate table in the PDF report and in the database.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/usda-database-isoflavone-content-selected-foods-release-21-november-2015/resource/70714cf2-3fa5-4cf7-86d0-2e07363ec4a0</describedBy><modified>2017-11-17</modified><identifier>5cdb4f05-5fd3-41cc-bcec-e29268da7f63</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>david.haytowitz@ars.usda.gov</emailAddress><fn>Haytowitz, David B.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://data.nal.usda.gov/dataset/usda-database-isoflavone-content-selected-foods-release-20, http://www.ars.usda.gov/Services/docs.htm?docid=24953</references><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Isoflav_R2-1.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ars.usda.gov/ARSUserFiles/80400525/Data/isoflav/Isoflav_R2-1.accdb</downloadURL><format>accdb</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/Isoflav_R21_DD.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Database for the Proanthocyanidin Content of Selected Foods</title><description>The database contains values for 205 food items for the following proanthocyanidins (Monomers, dimers, trimers, 4-6 mers (tetramers, pentamers and hexamers), 7-10 mers (heptamers, octamers, nonamers and decamers), polymers (DP&gt;10))</description><accessLevel>public</accessLevel><accrualPeriodicity>irregular</accrualPeriodicity><describedBy>http://www.ars.usda.gov/SP2UserFiles/Place/12354500/Data/PA/PA.pdf</describedBy><issued>2004-08-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>n/a</spatial><identifier>USDA-ARS-00014</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>david.haytowitz@ars.usda.gov</emailAddress><fn>David B. Haytowitz</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://www.ars.usda.gov/SP2UserFiles/Place/12354500/Data/PA/PA.pdf</references><distribution><downloadURL>http://www.ars.usda.gov/SP2UserFiles/Place/12354500/Data/PA/PA.mdb</downloadURL><mediaType>application/msaccess</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Database for the Proanthocyanidin Content of Selected Foods, Release 2 (2015) </title><description>&lt;p&gt;The database contains values for 283 food items for the following proanthocyanidins groups:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Dimers&lt;/li&gt;
&lt;li&gt;Trimers&lt;/li&gt;
&lt;li&gt;4-6 mers (tetramers, pentamers and hexamers)&lt;/li&gt;
&lt;li&gt;7-10 mers (heptamers, octamers, nonamers and decamers&lt;/li&gt;
&lt;li&gt;Polymers (DP&amp;gt;10)&lt;/li&gt;
&lt;/ul&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/usda-database-proanthocyanidin-content-selected-foods-release-2-2015/resource/7840047d-d73b-4d24-a2a9-2f17b55d8628</describedBy><modified>2017-11-17</modified><identifier>76495aee-f4bc-494e-92df-5eda5374963b</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>david.haytowitz@ars.usda.gov</emailAddress><fn>Haytowitz, David B.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://data.nal.usda.gov/dataset/usda-database-proanthocyanidin-content-selected-foods-2004</references><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/PA02.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ars.usda.gov/ARSUserFiles/80400525/Data/PA/PA02.accdb</downloadURL><format>accdb</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/PA02_DD.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA LCA Commons Data Submission Guidelines</title><description>&lt;p&gt;This document provides instructions for editing and submitting unit process or product system models to the USDA LCA Commons life cycle inventory (LCI) database. The LCA Commons LCI database uses the openLCA life cycle modeling tool's database schema. Therefore, this document describes how to import and edit data in openLCA and name and classify flows such that they properly import into and operate in the database. This document also describes metadata or documentation requirements for posting models to the LCA Commons.&lt;/p&gt;
&lt;p&gt;This document is an evolving standard for LCA Commons data. As USDA-NAL continues to gain experience in managing a general purpose LCI database and global conventions continue to evolve, so too will the LCA Commons Submission Guidelines.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-12</modified><identifier>175149d4-2182-4044-aae3-0c958877a34a</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ARS-NAL-LCACommonsEditor@ARS.USDA.GOV</emailAddress><fn>LCA Commons Staff</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/lcaCommonsSubmissionGuidelines_Final_2015-12-09.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA National Fluoride Database of Selected Beverages and Foods - Release 2 (2005) </title><description>&lt;p&gt;Assessment of fluoride intake is paramount in understanding the mechanisms of fluoride metabolism, specifically the prevention of dental caries, dental fluorosis, and skeletal fluorosis. A database for fluoride is needed for epidemiologists and health researchers to estimate the intakes, and to investigate the relationships between intakes and human health.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>http://adc-node1.nal.usda.gov/dataset/usda-national-fluoride-database-selected-beverages-and-foods-release-2-2005/resource/ae316ede-888d-4245-b8e8-46c592779277</describedBy><modified>2018-01-02</modified><identifier>295db441-4f30-48aa-9ce3-15197e4a34bc</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>david.haytowitz@ars.usda.gov</emailAddress><fn>Haytowitz, David B.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/F02.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ars.usda.gov/Services/docs.htm?docid=6312</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA National Nutrient Database for Standard Reference Dataset for What We Eat In America, NHANES (Survey-SR)</title><description>&lt;p&gt;The dataset, Survey-SR, provides the nutrient data for assessing dietary intakes from the national survey What We Eat In America, National Health and Nutrition Examination Survey (WWEIA, NHANES). Historically, USDA databases have been used for national nutrition monitoring (1). Currently, the Food and Nutrient Database for Dietary Studies (FNDDS) (2), is used by Food Surveys Research Group, ARS, to process dietary intake data from WWEIA, NHANES. Nutrient values for FNDDS are based on Survey-SR. Survey-SR was referred to as the "Primary Data Set" in older publications. Early versions of the dataset were composed mainly of commodity-type items such as wheat flour, sugar, milk, etc. However, with increased consumption of commercial processed and restaurant foods and changes in how national nutrition monitoring data are used (1), many commercial processed and restaurant items have been added to Survey-SR. &lt;br /&gt;
 &lt;br /&gt;
The current version, Survey-SR 2013-2014, is mainly based on the USDA National Nutrient Database for Standard Reference (SR) 28 (2) and contains sixty-six nutrientseach for 3,404 foods. These nutrient data will be used for assessing intake data from WWEIA, NHANES 2013-2014. Nutrient profiles were added for 265 new foods and updated for about 500 foods from the version used for the previous survey (WWEIA, NHANES 2011-12).  New foods added include mainly commercially processed foods such as several gluten-free products, milk substitutes, sauces and condiments such as sriracha, pesto and wasabi, Greek yogurt, breakfast cereals, low-sodium meat products, whole grain pastas and baked products, and several beverages including bottled tea and coffee, coconut water, malt beverages, hard cider, fruit-flavored drinks, fortified fruit juices and fruit and/or vegetable smoothies. Several school lunch pizzas and chicken products, fast-food sandwiches, and new beef cuts were also added, as they are now reported more frequently by survey respondents. Nutrient profiles were updated for several commonly consumed foods such as cheddar, mozzarella and American cheese, ground beef, butter, and catsup. The changes in nutrient values may be due to reformulations in products, changes in the market shares of brands, or more accurate data. Examples of more accurate data include analytical data, market share data, and data from a nationally representative sample.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/usda-national-nutrient-database-standard-reference-dataset-what-we-eat-america-nhanes-survey-sr/resource/a9778681-649f-4d29-a493-f99d7d29ebd8</describedBy><modified>2017-11-16</modified><identifier>85f667ff-725d-4fa4-a81e-ecbfee44ef62</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jaspreet.ahuja@ars.usda.gov</emailAddress><fn>Ahuja, Jaspreet</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://data.nal.usda.gov/dataset/what-we-eat-america-wweia-database</references><distribution><downloadURL>https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Survey-SR/SurveySR_2013_14.zip</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/SurveySR_2013_14%20%281%29.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/SurveySR_DD.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA National Nutrient Database for Standard Reference, Release 22</title><description>The USDA Nutrient Database for Standard Reference, Release 22 (SR22) is the major source of food composition data in the United States and provides the foundation for most public and private sector databases. SR22 contains nutrient data for over 7,500 food items for up to 143 food components, such as vitamins, minerals, amino acids, and fatty acids. It replaces the previous release,</description><accessLevel>public</accessLevel><accrualPeriodicity>R/PT1S</accrualPeriodicity><describedBy>http://www.ars.usda.gov/SP2UserFiles/Place/12354500/Data/SR22/sr22_doc.pdf</describedBy><issued>1980-09-30</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States of America</spatial><identifier>USDA-ARS-00019</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>david.haytowitz@ars.usda.gov</emailAddress><fn>David Haytowitz301-504-0714</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://www.ars.usda.gov/SP2UserFiles/Place/12354500/Data/SR22/sr22_doc.pdf</references><distribution><downloadURL>http://www.ars.usda.gov/Services/docs.htm?docid=18879</downloadURL><mediaType>text/plain</mediaType><title>Text File</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA National Nutrient Database for Standard reference</title><description>The USDA National Nutrient Database for Standard Reference, Release 25 (SR25) is the major source of food composition data in the United States and provides the foundation for most public and private sector databases. SR25 contains nutrient data for over 8,100 food items and up to 146 food components, such as vitamins, minerals, amino acids, and fatty acids. It replaces the previous release, SR24 issued in September 2011.</description><accessLevel>public</accessLevel><accrualPeriodicity>irregular</accrualPeriodicity><describedBy>http://www.ars.usda.gov/SP2UserFiles/Place/12354500/Data/SR25/sr25_doc.pdf</describedBy><issued>2012-09-28</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>N/A</spatial><identifier>USDA-ARS-00020</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>david.haytowitz@ars.usda.gov</emailAddress><fn>David Haytowitz</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://www.ars.usda.gov/SP2UserFiles/Place/12354500/Data/SR25/sr25_doc.pdf</references><distribution><downloadURL>http://www.ars.usda.gov/Services/docs.htm?docid=8964</downloadURL><mediaType>text/plain</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Nematode Collection Database</title><description>&lt;p&gt;The USDA Nematode Collection is one of the largest and most valuable nematode collections in existence. It contains over 49,000 permanent slides and vials, with a total repository of nematode specimens reaching several million, including Cobb-Steiner, Thorne, and other valuable collections. Nematodes contained in this collection originate from world-wide sources.&lt;/p&gt;
&lt;p&gt;The USDA Nematode Collection Database contains over 38,000 species entries. A broad range of data is stored for each specimen, including species, host, origin, collector, date collected and date received. All records are searchable and available to the public through the online database.&lt;/p&gt;
&lt;p&gt;The physical collection is housed at the USDA Nematology Laboratory in Beltsville, MD. Specimens are available for loan to scientists who cannot personally visit the collection. Please see the &lt;a href="https://www.ars.usda.gov/ARSUserFiles/2279/Loan%20Policy.pdf"&gt;Policy for Loaning USDANC Specimens&lt;/a&gt; for more information on this process.&lt;/p&gt;
&lt;p&gt;Scientists and other workers are always welcomed and encouraged to deposit material into the collection.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-05-10</modified><identifier>127e6975-956e-4081-b047-dfa99417089d</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>zafar.handoo@ars.usda.gov</emailAddress><fn>Handoo, Zafar A.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://usfsc.grscicoll.org/cool/7xtp-jnt6</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ars.usda.gov/northeast-area/beltsville-md/beltsville-agricultural-research-center/nematology-laboratory/people/zafar-handoo/usda-nematode-collection/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://nt.ars-grin.gov/nematodes/search.cfm</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Nutrient Data Set for Retail Meat Cuts: Beef, Lamb, Pork and Veal</title><description>&lt;p&gt;The United States Department of Agriculture (USDA) Nutrient Data Laboratory (NDL), in collaboration with the National Cattlemen's Beef Association, National Pork Board, American Lamb Board, and meat scientists at selected universities, has conducted several research studies designed to update and expand nutrient data on retail meat cuts in the USDA National Nutrient Database for Standard Reference (SR). These studies have provided current and accurate estimates of data to update SR, and the study results have been incorporated into data sets that can be used for nutrient labeling. NDL has developed these data sets, presented in an easy-to-use table format.  &lt;/p&gt;
&lt;p&gt;Each data set provides retailers with easier access to the most accurate nutrient data for the purpose of on-pack nutrition labeling and for nutrition claims. These data sets focus on the cuts identified by USDA Food Safety and Inspection Service (FSIS) proposed labeling regulations for fresh, single-ingredient meats. The FSIS, an agency of the USDA, is the public health agency responsible for ensuring that the nation's commercial supply of meat, poultry and egg products is safe, wholesome, and correctly labeled and packaged.&lt;/p&gt;
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Plant Hardiness Zone Map</title><description>&lt;p&gt;The 2012 USDA Plant Hardiness Zone Map is the standard by which gardeners and growers can determine which plants are most likely to thrive at a location. The map is based on the average annual minimum winter temperature, divided into 10-degree F zones.&lt;/p&gt;
&lt;p&gt;For the first time, the map is available as an interactive GIS-based map, for which a broadband Internet connection is recommended, and as static images for those with slower Internet access. Users may also simply type in a ZIP Code and find the hardiness zone for that area.&lt;/p&gt;
&lt;p&gt;No posters of the USDA Plant Hardiness Zone Map have been printed. But state, regional, and national images of the map can be downloaded and printed in a variety of sizes and resolutions.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-07</modified><identifier>f1636687-79a4-481f-b7e8-d18c153060f5</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>phzm@ars.usda.gov</emailAddress><fn>USDA Agricultural Research Service</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://planthardiness.ars.usda.gov/PHZMWeb/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Potato Small RNA Database</title><description>This is a public resource highlighting efforts at ARS in developing small RNA genome information for the potato genome. Updates and progress are reported here.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P3M</accrualPeriodicity><issued>2010-08-11</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><identifier>USDA-ARS-00042</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gerard.lazo@ars.usda.gov</emailAddress><fn>Gerard R. Lazo</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://wheat.pw.usda.gov</references><distribution><downloadURL>http://potato.pw.usda.gov</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Potato Small RNA Database</title><description>&lt;p&gt;This is a public resource highlighting efforts at ARS in developing small RNA genome information for the potato genome. Updates and progress are reported here.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2018-01-02</modified><identifier>USDA-ARS-00042</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gerard.lazo@ars.usda.gov</emailAddress><fn>Lazo, Gerard R.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>https://wheat.pw.usda.gov</references><distribution><downloadURL>https://potato.pw.usda.gov</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Public Citrus Genome Database</title><description>This is a public resource highlighting efforts at ARS in developing genome information for the Citrus Carrizo Genome. Updates and progress are reported here.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P3M</accrualPeriodicity><issued>2010-06-13</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>n/a</spatial><identifier>USDA-ARS-00043</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gerard.lazo@ars.usda.gov</emailAddress><fn>Gerard R. Lazo</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://wheat.pw.usda.gov</references><distribution><downloadURL>http://citrus.pw.usda.gov</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Public Citrus Genome Database</title><description>&lt;p&gt;This is a public resource highlighting efforts at ARS in developing genome information for the Citrus Carrizo Genome. Updates and progress are reported here.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2018-01-02</modified><identifier>USDA-ARS-00043</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gerard.lazo@ars.usda.gov</emailAddress><fn>Lazo, Gerard R.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>https://wheat.pw.usda.gov</references><distribution><downloadURL>https://citrus.pw.usda.gov</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Special Interest Databases on Flavonoids </title><description>&lt;p&gt;The US Department of Agriculture has published several Special Interest Databases (SID) on flavonoids. The resource linked to here is where the most current versions of these databases are maintained. It contains direct data downloads, and more detailed information for the following USDA Special Interest Databases on Flavonoids:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;USDA Database for the Flavonoid Content of Selected Foods, Release 3.2 (November 2015)&lt;/li&gt;
&lt;li&gt;USDA Database for the Isoflavone Content of Selected Foods, Release 2.1 (November 2015)&lt;/li&gt;
&lt;li&gt;USDA Database for the Proanthocyanidin Content of Selected Foods, Release 2 (2015)&lt;/li&gt;
&lt;li&gt;USDA's Expanded Flavonoid Database for the Assessment of Dietary Intakes (September 2014)&lt;/li&gt;
&lt;/ul&gt;
</description><accessLevel>public</accessLevel><modified>2017-11-16</modified><identifier>ff4b8a31-d108-4a47-9924-4f3088dfe7ac</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>david.haytowitz@ars.usda.gov</emailAddress><fn>Haytowitz, David B.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://data.nal.usda.gov/dataset/usda-database-flavonoid-content-selected-foods-release-31-may-2014, https://data.nal.usda.gov/dataset/usda-database-isoflavone-content-selected-foods-release-20, https://data.nal.usda.gov/dataset/usdas-expanded-flavonoid-database-assessment-dietary-intakes-september-2014, https://data.nal.usda.gov/dataset/usda-database-proanthocyanidin-content-selected-foods-2004</references><distribution><downloadURL>https://www.ars.usda.gov/Services/docs.htm?docid=24953</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Table of Cooking Yields for Meat and Poultry</title><description>USDA cooking yields data for meat and poultry, provided in electronic format for the first time, include updates to information which was previously printed in the USDA Agriculture Handbook No. 102 Food Yields (AH-102) in 1975. Data in the updated table, accessible below, are measures of changes in meat and poultry weights resulting from moisture and fat losses during cooking. The table includes percentages for cooking yield, moisture change, and fat change for specific cuts of meat and poultry prepared in USDA research studies according to specific cooking protocols.</description><accessLevel>public</accessLevel><describedBy>https://www.ars.usda.gov/ARSUserFiles/80400525/Data/retn/USDA_CookingYields_MeatPoultry.pdf</describedBy><issued>2012-12-07</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>n/a</spatial><identifier>USDA-ARS-00021</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>david.haytowitz@ars.usda.gov</emailAddress><fn>David B. haytowitz</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://www.ars.usda.gov/SP2UserFiles/Place/12354500/Data/retn/USDA_CookingYields_MeatPoultry.pdf</references><distribution><downloadURL>https://www.ars.usda.gov/ARSUserFiles/80400525/Data/retn/USDA_CookingYields_MeatPoultry02.xlsx</downloadURL><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Table of Nutrient Retention Factors, Release 6</title><description>The data set contains the factors for calculating retention of 26 vitamins, minerals and alcohol during food preparation.</description><accessLevel>public</accessLevel><accrualPeriodicity>irregular</accrualPeriodicity><describedBy>http://www.ars.usda.gov/SP2UserFiles/Place/12354500/Data/retn/retn06.pdf</describedBy><issued>2007-12-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>n/a</spatial><identifier>USDA-ARS-00012</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>David.Haytowitz@ars.usda.gov</emailAddress><fn>David B. Haytowitz</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://www.ars.usda.gov/SP2UserFiles/Place/12354500/Data/retn/retn06.pdf</references><distribution><downloadURL>http://www.ars.usda.gov/SP2UserFiles/Place/12354500/Data/retn/retn06.txt</downloadURL><mediaType>text/plain</mediaType><title>Text File</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Table of Nutrient Retention Factors, Release 6 (2007)</title><description>&lt;p&gt;Release 6, of this data set, replaces the previous release, Release 5, issued in 2003. The data set contains the factors for calculating retention of 26 vitamins, minerals and alcohol during food preparation. Factors for the other 25 food components in Release 4 are unchanged. Factors for total choline have been added to this release.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/usda-table-nutrient-retention-factors-release-6-2007/resource/ba047cd4-74bb-4e89-9c73-e341e535c7fa</describedBy><modified>2017-11-16</modified><identifier>0161934b-bc03-4ac6-a468-3232ed48a9e2</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jaspreet.ahuja@ars.usda.gov</emailAddress><fn>Ahuja, Jaspreet</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/retn06.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ars.usda.gov/ARSUserFiles/80400525/Data/retn/retn06.txt</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/NutrientRetention.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/NutrientRetentionDD.csv</downloadURL><format>csv</format><mediaType>text/csv</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA&amp;#039;s Expanded Flavonoid Database for the Assessment of Dietary Intakes - September 2014</title><description>&lt;p&gt;This content has been updated - view the USDA's Expanded Flavonoid Database for the Assessment of Dietary Intakes, Release 1.1 - December 2015 at &lt;a href="https://doi.org/10.15482/USDA.ADC/1324677"&gt;https://doi.org/10.15482/USDA.ADC/1324677&lt;/a&gt; for version 1.1 data, or visit the USDA Special Interest Database on Flavonoids dataset at &lt;a href="https://doi.org/10.15482/USDA.ADC/1178142"&gt;https://doi.org/10.15482/USDA.ADC/1178142&lt;/a&gt; for links to the most current data.
&lt;/p&gt;
&lt;p&gt;This database was developed with support from the Office of Dietary Supplements, National Institutes of Health for flavonoid intake studies. The database is a useful tool for flavonoid intake and health outcome studies for any population globally. It contains data for 29 individual flavonoid compounds in six subclasses of flavonoids for every food in a subset of 2,926 food items which provide the basis for the Food and Nutrient Database for Dietary Studies (FNDDS 4.1). Proanthocyanidins data are not included at the present time. For flavonoid intake data for the U.S. population based on NHANES 2007-08, please refer to the Food Surveys Research Group&lt;a href="https://www.ars.usda.gov/northeast-area/beltsville-md/beltsville-human-nutrition-research-center/food-surveys-research-group/"&gt; website&lt;/a&gt;.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/usdas-expanded-flavonoid-database-assessment-dietary-intakes-september-2014/resource/dd628daf-7c2c-44db-8e42-e42bb2189bcf</describedBy><modified>2017-11-17</modified><identifier>19df294e-8afb-4578-ab86-50c11757fa51</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>david.haytowitz@ars.usda.gov</emailAddress><fn>Haytowitz, David B.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.ars.usda.gov/SP2UserFiles/Place/80400525/Data/Flav/FDB-EXP.pdf</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ars.usda.gov/SP2UserFiles/Place/12354500/Data/Flav/FDB-EXP.accdb</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/FDB-EXP.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/FDB-EXP_0.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/FDB-EXP-DD_2.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA&amp;#039;s Expanded Flavonoid Database for the Assessment of Dietary Intakes, Release 1.1 - December 2015</title><description>&lt;p&gt;This database was developed with support from the Office of Dietary Supplements, National Institutes of Health for flavonoid intake studies. The database is a useful tool for flavonoid intake and health outcome studies for any population globally. It contains data for 29 individual flavonoid compounds in six subclasses of flavonoids for every food in a subset of 2,926 food items which provide the basis for the Food and Nutrient Database for Dietary Studies (FNDDS 4.1). Proanthocyanidins data are not included at the present time. For flavonoid intake data for the U.S. population based on NHANES 2007-08, please refer to the Food Surveys Research Group&lt;a href="https://www.ars.usda.gov/northeast-area/beltsville-md/beltsville-human-nutrition-research-center/food-surveys-research-group/"&gt; website&lt;/a&gt;.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/usdas-expanded-flavonoid-database-assessment-dietary-intakes-release-11-december-2015/resource/baa5132a-be55-4961-8d63-6c2b63eda46a</describedBy><modified>2017-11-17</modified><identifier>01e936f1-ec21-43eb-9223-730a3f758195</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>david.haytowitz@ars.usda.gov</emailAddress><fn>Haytowitz, David B.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><references>https://data.nal.usda.gov/dataset/usdas-expanded-flavonoid-database-assessment-dietary-intakes-september-2014</references><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/FDB-EXP.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Flav/FDB-EXP_R01-1.accdb</downloadURL><format>accdb</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/FDB_EXP_DD.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA-ARS Colorado Maize Water Productivity Dataset 2008-2011</title><description>&lt;p&gt;The USDA-Agricultural Research Service carried out a water productivity field trial for irrigated maize (Zea mays L.) at the Limited Irrigation Research Farm (LIRF) facility in northeastern Colorado in 2008 through 2011. The dataset includes daily measurements of irrigation, precipitation, soil water storage, and plant growth; daily estimates of crop evapotranspiration; and seasonal measurement of crop water use and crop yield. Soil parameters and hourly and daily weather data are also provided. The dataset can be useful to validate and refine maize crop models.&lt;/p&gt;
&lt;p&gt;The data are presented in spreadsheet format. The primary data files are the four annual LIRF Maize 20xx.xlsx files that include the daily water balance and phenology, final yield and biomass data, and crop management logs. Annual LIRF Weather 20xx.xlsx files provide hourly and daily weather parameters including reference evapotranspiration. The LIRF Soils.xlsx file gives soil parameters. Each spreadsheet contains a Data Descriptions worksheet that provides worksheet or column specific information. Comments are embedded in cells with specific information. A LIRF photos.pdf file provides images of the experimental area, measurement processes and crop conditions.&lt;/p&gt;
</description><accessLevel>public</accessLevel><describedBy>https://data.nal.usda.gov/dataset/usda-ars-colorado-maize-water-productivity-dataset-2008-2011/resource/f152aea1-1ac9-47bf</describedBy><modified>2017-08-31</modified><spatial>POLYGON ((-104.63919639587 40.446155404075, -104.63919639587 40.449159989004, -104.6345615387 40.449159989004, -104.6345615387 40.446155404075))</spatial><identifier>05653def-bda8-43a3-ada4-cf0c560ac0e1</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Thomas.trout@ars.usda.gov</emailAddress><fn>Trout, Thomas</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/DataDictionary%20r1.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/LIRF%20Methodology%20r1.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/LIRF%20Photo%20Log.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/LIRF%20Maize%202008%20r1_0.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/LIRF%20Maize%202009%20r1_0.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/LIRF%20Maize%202010%20r1_0.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/LIRF%20Maize%202011%20r1_0.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/LIRF%20Weather%202008.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/LIRF%20Weather%202009.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/LIRF%20Weather%202010.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/LIRF%20Weather%202011.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/LIRF%20Soils.xlsx</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA-ARS Pilot Plants</title><description>USDA-ARS pilot plant facilities that are available to partners for scaling up lab bench technologies</description><accessLevel>public</accessLevel><modified>2014-05-14</modified><identifier>USDA-ARS-00052</identifier><publisher><name>Agricultural Research Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Robert.Griesbach@ars.usda.gov</emailAddress><fn>Dr. Robert Griesbach</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><distribution><downloadURL>http://www.ars.usda.gov/business/Docs.htm?docid=24756</downloadURL><mediaType>text/html</mediaType><title>Pilot Plants</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Uniform Soybean Tests, Southern States</title><description>The Uniform Soybean Tests, Southern States is an on-going standardized soybean testing program originating in 1943 and covers the Southern States region of the US. The annual reports have been scanned into a secured pdf format and placed online.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ars.usda.gov/Business/Business.htm?docid=4357&amp;modecode=64-02-15-00&amp;page=1</describedBy><issued>1943-08-13</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>regional, state</spatial><identifier>USDA-ARS-00041</identifier><publisher><name>Agricultural Research Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ellen.keene@ars.usda.gov</emailAddress><fn>Ellen R. Keene</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:18</bureauCode><programCode>005:040</programCode><references>http://www.ars.usda.gov/Business/Business.htm?docid=4357&amp;modecode=64-02-15-00&amp;page=1</references><distribution><downloadURL>https://www.ars.usda.gov/Main/docs.htm?docid=23815</downloadURL><mediaType>application/pdf</mediaType><title>PDF File</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Water Erosion Prediction Project (WEPP)</title><description>&lt;p&gt;The Water Erosion Prediction Project (WEPP) model is a process-based, distributed parameter, continuous simulation, erosion prediction model for use on personal computers running Windows 95/98/NT/2000/XP/Vista/Windows7. The current model version (v2012.8) available for download is applicable to hillslope erosion processes (sheet and rill erosion), as well as simulation of the hydrologic and erosion processes on small watersheds. Included in the download package is the WEPP model (version 2012.8), WEPP Windows interface (August 2012), CLIGEN climate generators (versions 4.3 and 5.3), documentation and example data.&lt;/p&gt;
&lt;p&gt;The objective of the Water Erosion Prediction Project is to develop new generation prediction technology for use by the USDA-Natural Resources Conservation Service, USDA-Forest Service, USDI-Bureau of Land Management, and others involved in soil and water conservation and environmental planning and assessment. This improved erosion prediction technology is based on modern hydrologic and erosion science, is process-oriented, and is computer-implemented. This document is a detailed description of the WEPP erosion model as developed for application to small watersheds and hillslope profiles within those watersheds. The WEPP erosion model is a continuous simulation computer program which predicts soil loss and sediment deposition from overland flow on hillslopes, soil loss and sediment deposition from concentrated flow in small channels, and sediment deposition in impoundments. In addition to the erosion components, it also includes a climate component which uses a stochastic generator to provide daily weather information, a hydrology component which is based on a modified Green-Ampt infiltration equation and solutions of the kinematic wave equations, a daily water balance component, a plant growth and residue decomposition component, and an irrigation component. The WEPP model computes spatial and temporal distributions of soil loss and deposition, and provides explicit estimates of when and where in a watershed or on a hillslope that erosion is occurring so that conservation measures can be selected to most effectively control soil loss and sediment yield.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-28</modified><identifier>dfb7da4e-9370-41d5-86ae-068c60c193e8</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Chi-hua.Huang@ars.usda.gov</emailAddress><fn>Huang, Chi Hua</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.ars.usda.gov/midwest-area/west-lafayette-in/national-soil-erosion-research/docs/wepp/research/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/wepp-user-requirements.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/wepp_usersum.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://adc-node1.nal.usda.gov/system/files/wepp_addendum1.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ars.usda.gov/midwest-area/west-lafayette-in/national-soil-erosion-research/docs/wepp/wepp-downloads/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://www.ars.usda.gov/midwest-area/west-lafayette-in/national-soil-erosion-research/docs/wepp/</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Weevils of North America (WoNA)</title><description>&lt;p&gt;The Weevils of North America (WoNA) (&lt;a href="http://symbiota4.acis.ufl.edu/scan/portal/checklists/checklist.php?cl=1"&gt;http://symbiota4.acis.ufl.edu/scan/portal/checklists/checklist.php?cl=1&lt;/a&gt;) is an emerging resource for occurrence information, habitus photographs, legacy descriptions, and interactive identification keys for the almost 400 genera and 3300 species of weevils (Coleoptera: Curculionoidea) in North America, led by the Arizona State University Frank F. Hasbrouck Insect Collection (ASUHIC) group (NMF) and the Systematic Entomology Laboratory (USDA-SEL) (MLC). The majority of specimens stem from the Charles W. O'Brien (CWOB) weevil collection, and Dr. O'Brien's vast and generous contributions to this effort are hereby kindly acknowledged. We also acknowledge support from the United States Department of Agriculture.&lt;/p&gt;
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WWEIA is conducted as a partnership between the U.S. Department of Agriculture (USDA) and the U.S. Department of Health and Human Services (DHHS). Two days of 24-hour dietary recall data are collected through an initial in-person interview, and a second interview conducted over the telephone within three to 10 days. Participants are given three-dimensional models (measuring cups and spoons, a ruler, and two household spoons) and/or USDA's Food Model Booklet (containing drawings of various sizes of glasses, mugs, bowls, mounds, circles, and other measures) to estimate food amounts. WWEIA data are collected using USDA's dietary data collection instrument, the Automated Multiple-Pass Method (AMPM). The AMPM is a fully computerized method for collecting 24-hour dietary recalls either in-person or by telephone. &lt;/p&gt;
&lt;p&gt;For each 2-year data release cycle, the following dietary intake data files are available:&lt;/p&gt;
&lt;ul&gt;&lt;strong&gt;Individual Foods File&lt;/strong&gt; - Contains one record per food for each survey participant. Foods are identified by USDA food codes. Each record contains information about when and where the food was consumed, whether the food was eaten in combination with other foods, amount eaten, and amounts of nutrients provided by the food.&lt;/ul&gt;
&lt;ul&gt;&lt;strong&gt;Total Nutrient Intakes File&lt;/strong&gt; - Contains one record per day for each survey participant. Each record contains daily totals of food energy and nutrient intakes, daily intake of water, intake day of week, total number foods reported, and whether intake was usual, much more than usual or much less than usual. The Day 1 file also includes salt use in cooking and at the table; whether on a diet to lose weight or for other health-related reason and type of diet; and frequency of fish and shellfish consumption (examinees one year or older, Day 1 file only).&lt;/ul&gt;
&lt;p&gt;DHHS is responsible for the sample design and data collection, and USDA is responsible for the survey’s dietary data collection methodology, maintenance of the databases used to code and process the data, and data review and processing. USDA also funds the collection and processing of Day 2 dietary intake data, which are used to develop variance estimates and calculate usual nutrient intakes.&lt;/p&gt;
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-164.430811 68.915535, -163.168614 69.371115, -162.930566 69.858062, -161.908897 70.33333, -160.934797 70.44769, -159.039176 70.891642, -158.119723 70.824721, -156.580825 71.357764, -155.06779 71.147776)))</spatial><identifier>9b2bceae-5da1-457e-9a08-bd401b310530</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Alanna.Moshfegh@ars.usda.gov</emailAddress><fn>Moshfegh, Alanna J.</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://www.ars.usda.gov/News/docs.htm?docid=13793</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>iSnobal</title><description>&lt;p&gt;iSnobal is a physically-based distributed snowmelt model. Snowmelt is the principal source for soil moisture, ground-water re-charge, and stream-flow in mountainous regions of the western US, Canada, and other similar regions of the world. Information on the timing, magnitude, and contributing area of melt under variable or changing climate conditions is required for successful water and resource management. A coupled energy and mass-balance model iSnobal is used to simulate the development and melting of the seasonal snowcover in several mountain basins in California, Idaho, and Utah. Simulations are done over basins varying from 1 to 2500 km2 , with simulation periods varying from a few days for the smallest basin, Emerald Lake watershed in California, to multiple snow seasons for the Park City area in Utah. The model is driven by topographically corrected estimates of radiation, temperature, humidity, wind, and precipitation. Simulation results in all basins closely match independently measured snow water equivalent, snow depth, or runoff during both the development and depletion of the snowcover. Spatially distributed estimates of snow deposition and melt allow us to better understand the interaction between topographic structure, climate, and moisture availability in mountain basins of the western US. Application of topographically distributed models such as this will lead to improved water resource and watershed management.&lt;/p&gt;
</description><accessLevel>public</accessLevel><modified>2017-12-21</modified><identifier>5d30b994-22a4-49b7-a5f9-37ae72ea2803</identifier><publisher><name>USDA NAL</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ars.danny@gmail.com</emailAddress><fn>Marks, Danny</fn></contactPoint><bureauCode>005:18</bureauCode><programCode>005:037</programCode><distribution><downloadURL>https://gitlab.com/ars-snow/ipw</downloadURL><format>html</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Research, Education, and Economics Information System (REEIS)</title><description>The Research, Education, and Economics Information System (REEIS) is a source of information on the research, education and extension programs, projects and activities of the U. S. Department of Agriculture (USDA) National Institute of Food and Agriculture (NIFA), the USDA Forest Service, the USDA National Agricultural Statistics Service, the U. S. Patent and Trademark Office, U. S. Census Bureau, and the U. S. National Science Foundation. The system enables users to measure the impact and effectiveness of research, extension and education programs based on data related to agricultural research; forestry research; students, faculty and degrees related to agriculture; USDA partner institution snapshots; Food and nutrition research; 4-H programs; and agricultural snapshots of each state. Internet links to related agencies, institutions, and data bases are also included.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/PT1S</accrualPeriodicity><issued>2002-12-31</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>states and territories</spatial><identifier>USDA-4750</identifier><publisher><name>National Institute of Food and Agriculture, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>bhewitt@nifa.usda.gov</emailAddress><fn>Bart Hewitt</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:20</bureauCode><programCode>005:000</programCode><distribution><downloadURL>http://www.reeis.usda.gov/</downloadURL><mediaType>application/pdf</mediaType><title>PDF File</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Biotechnology Regulatory Services public data file (permits, notifications, and petitions)</title><description>Public information on BRS applications for genetically engineered permits, notifications, and petitions.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.aphis.usda.gov/brs/status/BRS_public_data_file.xlsx</describedBy><issued>2005-06-24</issued><modified>2014-02-26</modified><spatial>U.S. states and territories.</spatial><identifier>USDA-APHIS-00001</identifier><publisher><name>Animal and Plant Health Inspection Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Steven.M.Bennett@aphis.usda.gov</emailAddress><fn>Steven Bennett</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:32</bureauCode><programCode>005:032</programCode><references>http://www.aphis.usda.gov/biotechnology/submissions.shtml</references><distribution><downloadURL>http://www.aphis.usda.gov/brs/status/BRS_public_data_file.xlsx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Animal Health Monitoring System</title><description>The National Animal Health Monitoring System (NAHMS) Program Unit conducts national studies on the health, management, and productivity of United States domestic livestock and poultry populations.</description><accessLevel>public</accessLevel><modified>2014-07-15</modified><identifier>USDA-NIFA-RV-0003</identifier><publisher><name>Animal and Plant Health Inspection Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Bruce.A.Wagner@aphis.usda.gov</emailAddress><fn>Bruce Wagner, Director</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:32</bureauCode><programCode>005:053</programCode><distribution><description>The National Animal Health Monitoring System (NAHMS) Program Unit conducts national studies on the health, management, and productivity of Unites States domestic livestock and poultry populations.</description><downloadURL>http://www.aphis.usda.gov/wps/portal/aphis/ourfocus/animalhealth?1dmy&amp;urile=wcm%3apath%3a%2FAPHIS_Content_Library%2FSA_Our_Focus%2FSA_Animal_Health%2FSA_Monitoring_And_Surveillance%2FSA_NAHMS%2F</downloadURL><mediaType>text/html</mediaType><title>National Animal Health Monitoring System</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Wildlife Chemical Effects Database</title><description>Contains bioassay records and data for chemicals analyzed and evaluated for repellency, toxicity, reproductive inhibition, and immobilization.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/PT1S</accrualPeriodicity><issued>2011-04-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2015-01-20</modified><spatial>United States</spatial><identifier>USDA-APHIS-00003</identifier><publisher><name>Animal and Plant Health Inspection Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jennifer.M.Edwards@aphis.usda.gov</emailAddress><fn>Jennifer Edwards</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:32</bureauCode><programCode>005:032</programCode><distribution><describedBy>http://www.aphis.usda.gov/wps/portal/aphis/ourfocus/wildlifedamage/sa_programs/sa_nwrc/sa_information_services/ct_chemical_effects/!ut/p/a1/lZHJbsIwFEW_pYsuI7-ETCwJUBIgnREkG8s4dmIpkxxD1X59E7PpgqlevWeda10doxTtUFqTo8iJEk1NymFPXbx8CS0zACtaLOYBRM9P61dvtbTAtHsguQKsnPvy08UktL01ANi-BdEsCGfeOAaI3PvycOFM4FZ-i1KU0lq1qkAJaQvRYdrUitUKl2Ivifx-hI7g5iAxb-ih09uXKLNScIYzUpGc6btWNrkk1QmovyTVg6h5IyttE3dMHgVlPUEVpgWrBCUlZpwzqrqhRktFhpKxuwcY-5lhOiPLsE3iGcSl1AA-toEwjzjcOdW-IV4D18xq4Iq6pHfrXZbnoY9_tl7e8ZuWjKdx3j9LVGEM-tDuj129DHb1cM4u2p2zuw1Qapfz2HlDbbXZbCp_5L6HP5-82k78_OEXY52dOw!!/?1dmy&amp;urile=wcm%3apath%3a%2Faphis_content_library%2Fsa_our_focus%2Fsa_wildlife_damage%2Fsa_programs%2Fsa_nwrc%2Fsa_information_services%2Fct_nwrc-chemical-effects-db-glossary</describedBy><describedByType>text/html</describedByType><description>Contains bioassay records and data for chemicals analyzed and evaluated for repellency, toxicity, reproductive inhibition, and immobilization.</description><downloadURL>https://www.aphis.usda.gov/aphis/ourfocus/wildlifedamage/programs/nwrc/sa_information_services/ct_chemical_effects</downloadURL><format>HTML</format><mediaType>text/html</mediaType><title>Web site</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>FSIS - Egg Product Sampling Data</title><description>Establishment specific sampling results for Pasteurized Egg Products. See the FSIS website for additional information.</description><accessLevel>public</accessLevel><describedBy>https://www.fsis.usda.gov/wps/wcm/connect/06007be2-57ff-450b-9104-f9a2cbb530a0/Data-Documentation-Egg-Sampling-Data.pdf?MOD=AJPERES</describedBy><describedByType>application/pdf</describedByType><modified>2017-04-04</modified><identifier>usda-fsis-009</identifier><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jeremy.reed@fsis.usda.gov</emailAddress><fn>Jeremy Reed</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:35</bureauCode><programCode>005:058</programCode><distribution><accessURL>https://www.fsis.usda.gov/wps/wcm/connect/089e7f45-94f4-4aaa-a8df-0f1ebd7c5071/Dataset-Egg-Sampling-Results.xlsx?MOD=AJPERES</accessURL><describedBy>https://www.fsis.usda.gov/wps/wcm/connect/06007be2-57ff-450b-9104-f9a2cbb530a0/Data-Documentation-Egg-Sampling-Data.pdf?MOD=AJPERES</describedBy><describedByType>application/pdf</describedByType><description>Establishment specific sampling results for Pasteurized Egg Products. See the FSIS website for additional information.</description><format>xlsx</format><title>Egg Products Sampling Data</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>FSIS - Establishment Demographic Data – Meat and Poultry Inspection (MPI) Directory Supplement</title><description>These data provide additional demographic information about FSIS regulated establishments. Additional demographic data are also available in the FSIS Meat, Poultry, and Egg Inspection Directory (MPI). The Meat, Poultry and Egg Product Inspection Directory is a listing of establishments that produce meat, poultry, and/or egg products regulated by USDA's Food Safety and Inspection Service (FSIS).</description><accessLevel>public</accessLevel><describedBy>http://www.fsis.usda.gov/wps/wcm/connect/53aa7e2f-143d-4c5e-9a19-cf9094550096/Data-Documentation-Establishment-Profile-Data.pdf?MOD=AJPERES</describedBy><describedByType>application/pdf</describedByType><modified>2016-12-02</modified><identifier>usda-fsis-008</identifier><publisher><subOrganization><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher></subOrganization><name>Food Safety and Inspection Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jeremy.reed@fsis.usda.gov</emailAddress><fn>Jeremy Reed</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:35</bureauCode><programCode>005:000</programCode><distribution><downloadURL>http://www.fsis.usda.gov/wps/wcm/connect/b645da4f-f00a-45a1-bb3a-35fa1cee6e4b/Dataset-Establishment-Demographic-Data.xlsx?MOD=AJPERES</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><title>Establishment Demographic Data</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>FSIS - FoodKeeper Data</title><description>FSIS’ FoodKeeper application educates users about food and beverages storage to help them maximize the freshness and quality of these items. By helping users understand food storage, the application empowers consumers to choose storage methods that extend the shelf life of their items. By doing so users will be able to keep items fresh longer than if they were not stored properly.</description><accessLevel>public</accessLevel><describedBy>http://www.fsis.usda.gov/wps/wcm/connect/e43b0732-aeec-4150-84df-10968ae4ed95/Data-Documentation-FoodKeeper-Application.pdf?MOD=AJPERES</describedBy><describedByType>application/pdf</describedByType><modified>2016-10-01</modified><identifier>usda-fsis-006</identifier><publisher><subOrganization><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher></subOrganization><name>Food Safety Inspection Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jeremy.reed@fsis.usda.gov</emailAddress><fn>Jeremy Reed</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:35</bureauCode><programCode>005:000</programCode><distribution><downloadURL>http://www.fsis.usda.gov/shared/data/EN/foodkeeper.json</downloadURL><format>json</format><mediaType>application/json</mediaType><title>FoodKeeper Data - English</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.fsis.usda.gov/shared/data/EN/FoodKeeper-Data.xls</downloadURL><format>xls</format><mediaType>application/vnd.ms-excel</mediaType><title>FoodKeeper Data - English</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.fsis.usda.gov/shared/data/ES/foodkeeper.json</downloadURL><format>json</format><mediaType>application/json</mediaType><title>FoodKeeper Data - Spanish</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.fsis.usda.gov/shared/data/ES/FoodKeeper-Data.xls</downloadURL><format>xls</format><mediaType>application/vnd.ms-excel</mediaType><title>FoodKeeper Data - Spanish</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.fsis.usda.gov/shared/data/PT/FoodKeeper-Data.xls</downloadURL><format>xls</format><mediaType>application/vnd.ms-excel</mediaType><title>FoodKeeper Data - Portuguese</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.fsis.usda.gov/shared/data/PT/foodkeeper.json</downloadURL><format>json</format><mediaType>application/json</mediaType><title>FoodKeeper Data - Portuguese</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>FSIS - Import Refusals</title><description>Import refusals for products regulated by FSIS. See the FSIS website for additional information.</description><accessLevel>public</accessLevel><describedBy>https://www.fsis.usda.gov/wps/wcm/connect/28bd5221-5976-4cd7-8c53-01bf4019d717/Data-Documentation-Import-Refusals.pdf?MOD=AJPERES</describedBy><describedByType>application/pdf</describedByType><modified>2017-05-05</modified><identifier>usda-fsis-011</identifier><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jeremy.reed@fsis.usda.gov</emailAddress><fn>Jeremy Reed</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:35</bureauCode><programCode>005:058</programCode><distribution><accessURL>https://www.fsis.usda.gov/wps/wcm/connect/ddc4e7ee-ae1d-4722-809f-fd2fc1d3966d/Import-Refusals-Current.xlsx?MOD=AJPERES</accessURL><describedBy>https://www.fsis.usda.gov/wps/wcm/connect/28bd5221-5976-4cd7-8c53-01bf4019d717/Data-Documentation-Import-Refusals.pdf?MOD=AJPERES</describedBy><describedByType>application/pdf</describedByType><description>Import refusals for products regulated by FSIS. See the FSIS website for additional information.</description><format>xlsx</format><title>FSIS Import Refusals</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>FSIS - Meat, Poultry, and Egg Inspection Directory by Establishment Name</title><description>The Meat, Poultry and Egg Product Inspection Directory is a listing of establishments that produce meat, poultry, and/or egg products regulated by USDA's Food Safety and Inspection Service (FSIS) pursuant to the Federal Meat Inspection Act, the Poultry Products Inspection Act, and the Egg Products Inspection Act. &#13;
The directory is updated monthly, and the current edition replaces all previous editions.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><issued>1999-01-30</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>national</spatial><identifier>USDA-FSIS-02213</identifier><publisher><name>Food Safety and Inspection Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jeremy.reed@fsis.usda.gov</emailAddress><fn>Jeremy Reed</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:35</bureauCode><programCode>005:000</programCode><references>http://www.fsis.usda.gov/regulations_&amp;_policies/Meat_Poultry_Egg_Inspection_Directory/index.asp</references><distribution><description>This page links to an Excel file with meat and poultry data.</description><downloadURL>http://www.fsis.usda.gov/xls/MPI_Directory_by_Establishment_Name.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>FSIS - Meat, Poultry, and Egg Inspection Directory by Establishment Number</title><description>The Meat, Poultry and Egg Product Inspection Directory is a listing of establishments that produce meat, poultry, and/or egg products regulated by USDA's Food Safety and Inspection Service (FSIS) pursuant to the Federal Meat Inspection Act, the Poultry Products Inspection Act, and the Egg Products Inspection Act. The directory is updated monthly, and the current edition replaces all previous editions.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.fsis.usda.gov/xls/MPI_Directory_by_Establishment_Number.xls</landingPage><modified>2014-04-02</modified><identifier>USDA-FSIS-02246</identifier><publisher><name>Food Safety and Inspection Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jeremy.reed@fsis.usda.gov</emailAddress><fn>Jeremy Reed</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:35</bureauCode><programCode>005:000</programCode><distribution><downloadURL>http://www.fsis.usda.gov/xls/MPI_Directory_by_Establishment_Number.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Meat, Poultry, and Egg Inspection Directory by Establishment Number</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>FSIS - Quarterly Progress Reports on Salmonella and Campylobacter Testing</title><description>Quarterly Progress Reports on Salmonella and Campylobacter Testing of Selected Raw Meat and Poultry Products</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P3M</accrualPeriodicity><landingPage>http://www.fsis.usda.gov/wps/portal/fsis/topics/data-collection-and-reports/microbiology/quarterly-reports-salmonella/quarterly-progress-reports</landingPage><modified>2014-04-11</modified><temporal>2006/2013</temporal><identifier>USDA-FSIS-00003</identifier><publisher><name>Food Safety and Inspection Service, United States Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jeremy.reed@fsis.usda.gov</emailAddress><fn>Jeremy Reed</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:35</bureauCode><programCode>005:000</programCode><categories>meat</categories><distribution><description>Quarterly Progress Reports on Salmonella and Campylobacter Testing of Selected Raw Meat and Poultry Products</description><downloadURL>http://www.fsis.usda.gov/wps/wcm/connect/8656761b-380c-47a6-8099-50056be8a66c/2006-2013-Salmonella-Quarterly-Data.xlsx?MOD=AJPERES</downloadURL><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><title>Quarterly Progress Reports on Salmonella and Campylobacter Testing</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>FSIS - Raw Beef Components Sampling Data</title><description>Establishment specific sampling results for Raw Beef Components. See the FSIS website for additional information.</description><accessLevel>public</accessLevel><describedBy>https://www.fsis.usda.gov/wps/wcm/connect/9f7c8e85-74bc-448d-89fa-0c10f831611e/Data-Documentation-Raw-Beef-Components-Sampling-Data.pdf?MOD=AJPERES</describedBy><describedByType>application/pdf</describedByType><modified>2017-09-25</modified><identifier>usda-fsis-013</identifier><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jeremy.reed@fsis.usda.gov</emailAddress><fn>Jeremy Reed</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:35</bureauCode><programCode>005:058</programCode><distribution><accessURL>https://www.fsis.usda.gov/wps/wcm/connect/bbe48b52-30e3-4913-bcad-2ce72fdbe822/Dataset-Raw-Beef-Components-Sampling.xlsx?MOD=AJPERES</accessURL><describedBy>https://www.fsis.usda.gov/wps/wcm/connect/9f7c8e85-74bc-448d-89fa-0c10f831611e/Data-Documentation-Raw-Beef-Components-Sampling-Data.pdf?MOD=AJPERES</describedBy><describedByType>application/pdf</describedByType><description>Establishment specific sampling results for Raw Beef Components. See the FSIS website for additional information.</description><format>application/xslx</format><title>Raw Beef Components Sampling</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>FSIS - Raw Beef Trim Sampling Data</title><description>Establishment specific sampling results for Raw Beef Trim. See the FSIS website for additional information.</description><accessLevel>public</accessLevel><describedBy>https://www.fsis.usda.gov/wps/wcm/connect/d2264486-6de3-44eb-a910-7569f8f66ae2/Data-Documentation-Beef-Trim-Sampling.pdf?MOD=AJPERES</describedBy><describedByType>application/pdf</describedByType><modified>2017-09-25</modified><identifier>usda-fsis-012</identifier><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jeremy.reed@fsis.usda.gov</emailAddress><fn>Jeremy Reed</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:35</bureauCode><programCode>005:058</programCode><distribution><accessURL>https://www.fsis.usda.gov/wps/wcm/connect/a7ed3c21-4bad-45ff-92e2-e8d916ce1e52/Dataset-Beef-Trim-Data.xlsx?MOD=AJPERES</accessURL><describedBy>https://www.fsis.usda.gov/wps/wcm/connect/d2264486-6de3-44eb-a910-7569f8f66ae2/Data-Documentation-Beef-Trim-Sampling.pdf?MOD=AJPERES</describedBy><describedByType>application/pdf</describedByType><description>Establishment specific sampling results for Raw Beef Trim. See the FSIS website for additional information</description><format>application/xlsx</format><title>Raw Beef Trim</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>FSIS - Raw Ground Beef Sampling Data</title><description>Establishment specific sampling results for Raw Ground Beef. See the FSIS website for additional information.</description><accessLevel>public</accessLevel><describedBy>https://www.fsis.usda.gov/wps/wcm/connect/aecc39de-2936-427a-8f10-654677503f28/Data-Documentation-Raw-Ground-Beef-Data.pdf?MOD=AJPERES</describedBy><describedByType>applications/pdf</describedByType><modified>2017-04-04</modified><identifier>usda-fsis-010</identifier><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jeremy.reed@fsis.usda.gov</emailAddress><fn>Jeremy Reed</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:35</bureauCode><programCode>005:058</programCode><distribution><accessURL>https://www.fsis.usda.gov/wps/wcm/connect/46923fce-3c03-4b9c-ba0f-eb360c24e43c/Dataset-RGB-Data.xlsx?MOD=AJPERES</accessURL><describedBy>https://www.fsis.usda.gov/wps/wcm/connect/aecc39de-2936-427a-8f10-654677503f28/Data-Documentation-Raw-Ground-Beef-Data.pdf?MOD=AJPERES</describedBy><describedByType>application/pdf</describedByType><description>Establishment specific sampling results for Raw Ground Beef. See the FSIS website for additional information.</description><format>xlsx</format><title>Raw Ground Beef Sampling</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>FSIS - Ready-to-Eat Meat and Poultry Sampling Data</title><description>Establishment specific sampling results for FSIS Ready-to-Eat (RTE) sampling projects. See the FSIS website for additional information.</description><accessLevel>public</accessLevel><describedBy>http://www.fsis.usda.gov/wps/wcm/connect/6e5a5fe8-e198-4b25-9e28-461c2195a0f8/Data-Documentation-RTE-Sampling-Data.pdf?MOD=AJPERES</describedBy><describedByType>application/pdf</describedByType><modified>2016-12-02</modified><identifier>usda-fsis-007</identifier><publisher><subOrganization><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher></subOrganization><name>Food Safety and Inspection Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jeremy.reed@fsis.usda.gov</emailAddress><fn>Jeremy Reed</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:35</bureauCode><programCode>005:058</programCode><distribution><downloadURL>http://www.fsis.usda.gov/wps/wcm/connect/570c7d0c-3e81-42fa-86c7-3c6758061383/Dataset-RTE-Sampling-Data.xlsx?MOD=AJPERES</downloadURL><format>xlsx</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><title>RTE Sampling Data</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>FSIS - Summary of Recall Cases in Calendar Year</title><description>This datasets summarizes and lists all the recalls of meat and poultry products produced by FSIS federally inspected establishments for the calendar year. Recalls are characterized by date, recall class, product, reason and pounds recalled. More detailed information can be found in each recall announcement posted on the FSIS website.</description><accessLevel>public</accessLevel><landingPage>http://www.fsis.usda.gov/wps/portal/fsis/topics/recalls-and-public-health-alerts/recall-summaries</landingPage><modified>2015-05-28</modified><identifier>usda-fsis-005</identifier><publisher><subOrganization><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher></subOrganization><name>Food Safety and Inspection Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jeremy.reed@fsis.usda.gov</emailAddress><fn>Jeremy Reed</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:35</bureauCode><programCode>005:000</programCode><distribution><downloadURL>http://www.fsis.usda.gov/wps/wcm/connect/01ae9691-f6d7-41b2-9a19-10cea4927187/FSIS-Recall-Summary-2014.xlsx?MOD=AJPERES</downloadURL><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><title>Summary of Recall Cases in Calendar Year 2014</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.fsis.usda.gov/wps/wcm/connect/8c3cd26d-8222-4b05-bdfd-074fdb06e5a6/FSIS-Recall-Summary-2013.xlsx?MOD=AJPERES</downloadURL><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><title>Summary of Recall Cases in Calendar Year 2013</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.fsis.usda.gov/wps/wcm/connect/3d3a7002-ac83-46f6-a70d-e142f603d561/FSIS_Recall_Summary_2012_3.xls?MOD=AJPERES</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Summary of Recall Cases in Calendar Year 2012</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.fsis.usda.gov/wps/wcm/connect/e2c475f0-c1c0-48b8-a15d-d151aa1b9cda/FSIS_Recall_Summary_2011_1.xls?MOD=AJPERES</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Summary of Recall Cases in Calendar Year 2011</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.fsis.usda.gov/wps/wcm/connect/e9403088-bfe7-46a7-9cbb-3e5c77b16285/FSIS_Recall_Summary_2010_2.xls?MOD=AJPERES</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Summary of Recall Cases in Calendar Year 2010</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.fsis.usda.gov/wps/wcm/connect/afdb2a1f-cce3-4027-a8d6-f4f1f472c3c7/FSIS_Recall_Summary_2005-2009.xls?MOD=AJPERES</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Summary of Recall Cases in Calendar Year 2005-2009</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Assessments of the Livestock and Poultry Industries (Fiscal Years 2000 – 2007)</title><description>In this report, GIPSA assesses the economic state of the cattle and hog industries. 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compliance with the U.S. Grain Standards Act, as amended,&#13;
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marketing of grains, oilseeds, and related products.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2017-08-29</modified><identifier>USDA-GIPSA-00015</identifier><publisher><subOrganization><publisher><name>USDA-GIPSA</name><type>org:Organization</type></publisher></subOrganization><name>Federal Grain Inspection Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>m.irene.omade@usda.gov</emailAddress><fn>Irene Omade</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:37</bureauCode><programCode>005:045</programCode><distribution><description>This report is divided into seven sections. After the Introduction, Sections II through V represent program goals, and Sections&#13;
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In fiscal year 2003, GIPSA received $4.5 million in appropriations to study marketing practices in the whole livestock and red meat industry. In June 2004, at the end of a competitive bidding process, GIPSA awarded a $4.3 million contract to the RTI International (RTI) to conduct the study. RTI delivered an interim report in July 2005. The interim report described alternative marketing arrangements (AMAs), common terms in AMAs, and why industry participants used them. In February 2007, GIPSA released the final report. 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RTI delivered an interim report in July 2005. The interim report described alternative marketing arrangements (AMAs), common terms in AMAs, and why industry participants used them. In February 2007, GIPSA released the final report. 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Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Dairy Market News Search</title><description>Dairy Market News covers the supply, demand, and price situation every week on a regional, national, and international basis for milk, butter, cheese, and dry and fluid products.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1W</accrualPeriodicity><describedBy>http://www.ams.usda.gov/AMSv1.0/ams.fetchTemplateData.do?template=TemplateL&amp;navID=FindaMarketNewsreportDairyLandingPage&amp;rightNav1=FindaMarketNewsreportDairyLandingPage&amp;topNav=&amp;leftNav=CommodityAreas&amp;page=DairyMarketNews&amp;description=Dairy+Market+News</describedBy><issued>2012-04-13</issued><modified>2014-02-21</modified><spatial>United States, Europe, Ocenia</spatial><identifier>USDA-6234</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>DonaldO.Nelson@ams.usda.gov</emailAddress><fn>Don Nelson</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/AMSv1.0/ams.fetchTemplateData.do?template=TemplateL&amp;navID=FindaMarketNewsreportDairyLandingPage&amp;rightNav1=FindaMarketNewsreportDairyLandingPage&amp;topNav=&amp;leftNav=CommodityAreas&amp;page=DairyMarketNews&amp;description=Dairy+Market+News</references><distribution><downloadURL>http://marketnews.usda.gov/portal/da?&amp;paf_gear_id=5300015&amp;paf_dm=full&amp;reportConfig=true&amp;category=Cheese</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Farmers Markets Directory and Geographic Data</title><description>Longitude and latitude, state, address, name, and zip code of Farmers Markets in the United States</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P0.33W</accrualPeriodicity><issued>2010-10-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States</spatial><temporal>2010/2010</temporal><identifier>USDA-4383</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>DirectoryUpdates@ams.usda.gov</emailAddress><fn>Edward Ragland</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>https://apps.ams.usda.gov/FarmersMarketsExport/ExcelExport.aspx</references><distribution><downloadURL>http://www.ams.usda.gov/AMSv1.0/getfile?dDocName=STELPRDC5087258</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Food Hubs</title><description>This is a list of food hubs that USDA's Agricultural Marketing Service had on record as of January 2013. By offering a combination of production, aggregation, distribution, and marketing services, food hubs make it possible for producers to gain entry into new and additional markets that would be difficult or impossible to access on their own.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.ams.usda.gov/AMSv1.0/getfile?dDocName=STELPRDC5091437</describedBy><issued>2013-01-05</issued><modified>2014-02-26</modified><spatial>United States</spatial><temporal>2012/2012</temporal><identifier>USDA-26271</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>James.Barham@ams.usda.gov</emailAddress><fn>James Barham</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/AMSv1.0/getfile?dDocName=STELPRDC5091437</references><distribution><downloadURL>http://www.ams.usda.gov/AMSv1.0/ams.fetchTemplateData.do?template=TemplateA&amp;navID=WholesaleandFarmersMarkets&amp;leftNav=WholesaleandFarmersMarkets&amp;page=FoodHubsandOtherMarketAccessStrategies&amp;description=Food%20Hubs%20and%20other%20Aggregation%20Models</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Fruit and Vegetable Market News Custom Search</title><description>The primary function of the Fruit and Vegetable Market News Division of the Fruit and Vegetable Programs is to provide an exchange of information for growers, shippers, wholesalers, researchers and others on supplies, demand and prices of fresh fruit and vegetables and speciality 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Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pierre.bahizi@ams.usda.gov</emailAddress><fn>Pierre Bahizi</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/gtr</references><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/GTRFigure12.xlsx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Excel Document</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Grain Inspections for Export by Port Region</title><description>Table 16: Grain Inspections for Export by Port Region</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1W</accrualPeriodicity><issued>2011-12-09</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>Global</spatial><identifier>USDA-5247</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pierre.bahizi@ams.usda.gov</emailAddress><fn>Pierre Bahizi</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/gtr</references><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/GTRTable16.xlsx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Excel Document</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Grain Transport Cost Indicators</title><description>Table 1: Grain Transport Cost Indicators</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1W</accrualPeriodicity><issued>2011-09-22</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>US</spatial><identifier>USDA-5225</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pierre.bahizi@ams.usda.gov</emailAddress><fn>Pierre Bahizi</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/gtr</references><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/GTRTable1.xlsx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Excel Document</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Grain Transportation Report Rail Car Auction Offerings</title><description>Table 5: Rail Car Auction Offerings</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1W</accrualPeriodicity><issued>2011-09-22</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>US</spatial><identifier>USDA-5232</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pierre.bahizi@ams.usda.gov</emailAddress><fn>Pierre Bahizi</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/gtr</references><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/GTRTable5.xlsx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Excel Document</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Grain Transportation Report U.S. Origins to Export Position Price Spreads ($/bushel)</title><description>Table 2: Market Update: U.S. Origins to Export Position Price Spreads ($/bushel)</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1W</accrualPeriodicity><issued>2011-09-22</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>US</spatial><identifier>USDA-5230</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pierre.bahizi@ams.usda.gov</emailAddress><fn>Pierre Bahizi</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/gtr</references><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/GTRTable2.xlsx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Excel Document</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Grain Transportation Report: Bids/Offers for Railcars to be Delivered in the Secondary Market</title><description>Figure 4, 5, 6: Bids/Offers for Railcars to be Delivered in the Secondary Market</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1W</accrualPeriodicity><issued>2011-09-22</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>Global</spatial><identifier>USDA-5233</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pierre.bahizi@ams.usda.gov</emailAddress><fn>Pierre Bahizi</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/gtr</references><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/GTRFigure4-6.xlsx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Excel Document</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Grain Transportation Report: Rail Deliveries to Port</title><description>Grain Transportation Report Table 3: Rail Deliveries to Port</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1W</accrualPeriodicity><issued>2011-09-22</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>US</spatial><identifier>USDA-5231</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pierre.bahizi@ams.usda.gov</emailAddress><fn>Pierre Bahizi</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/gtr</references><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/GTRTable3.xlsx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Excel Document</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Grain Vessel Rates, U.S. to Japan</title><description>Figure 17: Grain Vessel Rates, U.S. to Japan</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><issued>2011-09-22</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>Global</spatial><identifier>USDA-5251</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pierre.bahizi@ams.usda.gov</emailAddress><fn>Pierre Bahizi</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/gtr</references><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/GTRFigure17.xlsx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Excel Document</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Illinois River Barge Freight Rate</title><description>Figure 8: Illinois River Barge Freight Rate</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1W</accrualPeriodicity><issued>2011-09-22</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>Global</spatial><identifier>USDA-5237</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pierre.bahizi@ams.usda.gov</emailAddress><fn>Pierre Bahizi</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/gtr</references><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/GTRFigure8.xlsx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Excel Document</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Know Your Farmer, Know Your Food Projects</title><description>This dataset reflects USDA funded projects to develop local and regional food systems. It includes data from virtually all USDA Agencies and 9 other Federal Departments.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P2Y</accrualPeriodicity><issued>2012-02-29</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States</spatial><identifier>USDA-29911</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>elanor.starmer@osec.usda.gov</emailAddress><fn>Elanor Starmer</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.usda.gov/maps/html/kyfglossary.htm</references><distribution><downloadURL>http://www.usda.gov/maps/resources/KYF3Data/$file/kyfprojects.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Livestock and Grain Market News LMR Web Services</title><description>The primary function of the Livestock and Grain Market News Division of the Livestock and Seed Program (LSP) is to compile and disseminate information that will aid producers, consumers, and distributors in the sale and purchase of livestock, meat, grain, and their related products nationally and internationally.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1D</accrualPeriodicity><describedBy>http://www.ams.usda.gov/AMSv1.0/ams.fetchTemplateData.do?template=TemplateB&amp;navID=MarketNewsAndTransportationData&amp;leftNav=MarketNewsAndTransportationData&amp;page=LSMarketNewsPage</describedBy><issued>2012-03-28</issued><modified>2014-02-26</modified><spatial>United States, International</spatial><identifier>USDA-9201</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>WASH.LGMN@AMS.USDA.GOV</emailAddress><fn>Rick Tanger</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/AMSv1.0/ams.fetchTemplateData.do?template=TemplateB&amp;navID=MarketNewsAndTransportationData&amp;leftNav=MarketNewsAndTransportationData&amp;page=LSMarketNewsPage</references><distribution><downloadURL>http://marketnews.usda.gov/portal/lg/lmprswsreg</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Livestock and Grain Market News Search</title><description>The primary function of the Livestock and Grain Market News Division of the Livestock and Seed Program (LSP) is to compile and disseminate information that will aid producers, consumers, and distributors in the sale and purchase of livestock, meat, grain, and their related products nationally and internationally.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1D</accrualPeriodicity><describedBy>http://www.ams.usda.gov/AMSv1.0/ams.fetchTemplateData.do?template=TemplateB&amp;navID=MarketNewsAndTransportationData&amp;leftNav=MarketNewsAndTransportationData&amp;page=LSMarketNewsPage</describedBy><issued>2012-03-29</issued><modified>2014-02-26</modified><spatial>United States</spatial><identifier>USDA-6225</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>WASH.LGMN@AMS.USDA.GOV</emailAddress><fn>Rick Tanger</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/AMSv1.0/ams.fetchTemplateData.do?template=TemplateB&amp;navID=MarketNewsAndTransportationData&amp;leftNav=MarketNewsAndTransportationData&amp;page=LSMarketNewsPage</references><distribution><downloadURL>http://marketnews.usda.gov/portal/lg?paf_dm=full&amp;reportConfig=true&amp;paf_gear_id=4300017&amp;category=</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Livestock and Grain Market News Search</title><description>The primary function of the Livestock, Poultry, and Grain Market News Division of the Livestock, Poultry and Seed Program is to compile and disseminate information that will aid producers, consumers, and distributors in the sale and purchase of livestock and grain and their related products nationally and internationally.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1D</accrualPeriodicity><issued>2013-04-26</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States</spatial><identifier>USDA-29211</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>WASH.LGMN@AMS.USDA.GOV</emailAddress><fn>Rick Tanger</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://marketnews.usda.gov/</references><distribution><downloadURL>http://marketnews.usda.gov/</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Milk Marketing Order Statistics</title><description>The statistical data generated through the administration of the Federal milk order program is recognized widely as one of the benefits of this program. These data provide comprehensive and accurate information on milk supplies, utilization, and sales, as well as class prices established under the orders and prices paid to dairy farmers (producers). The sources of this data are monthly reports of receipts and utilization, producer payroll reports, and reports of nonpool handlers filed by milk processors (handlers) subject to the provisions of the various milk orders. The local market administrator (MA) uses these reports to determine pool obligations under the order and to verify proper payments to producers. Auditors employed by the MA review handler records to assure the accuracy of reported information. Reporting errors are corrected; if necessary, pool obligations are revised.&#13;
&#13;
After the pool obligations have been determined the local market administrator summarizes the individual handler reports and submits a series of order summary reports to the Market Information Branch (MIB) in Dairy Programs. The MIB summarizes the individual order data and disseminates this information via monthly, bimonthly, and annual releases or publications. Since milk marketing order statistics are based on reports filed by the population of possible reporting firms and not a sample, these statistics are comprehensive. Also, since these individual firm reports are subject to audit and verification, these statistics are accurate.&#13;
&#13;
The Federal milk order statistics database contains historical information, beginning in January 2000, generated by the administration of the Federal milk order program. Most of the information in the database has been published previously by the Market Information Branch in Dairy Programs either on its web site or in the Dairy Market News Report. New users are encouraged to use the "User Guide" to learn how to navigate the search screens. 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Customers have access to a selected share or range of farm products offered by a single farm or group of farmers based on partial or total advance payment of a subscription or membership fee.</description><downloadURL>http://search.ams.usda.gov/CSA/ExcelExport.aspx</downloadURL><format>application/excel</format><mediaType>application/vnd.ms-excel</mediaType><title>National Community-Supported Agriculture Directory</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Farmers Market Directory</title><description>The USDA National Farmers Market Directory, maintained by AMS Marketing Services, is designed to provide members of the public with convenient access to information about U.S. farmers market locations, directions, operating times, product offerings, and accepted forms of payment. Market information included in the Directory is voluntary and self-reported to AMS by market managers, representatives from State farmers market agencies and associations, and other key market personnel.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/PT1S</accrualPeriodicity><describedBy>http://www.ams.usda.gov/local-food-directories/farmersmarkets</describedBy><issued>2014-07-02</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States</spatial><temporal>2012/2012</temporal><identifier>USDA-29231</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>DirectoryUpdates@ams.usda.gov</emailAddress><fn>Ed Ragland</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/local-food-directories/farmersmarkets</references><distribution><downloadURL>http://search.ams.usda.gov/farmersmarkets/</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Food Hub Directory</title><description>The Food Hub Directory lists businesses or organizations that actively manage the aggregation, distribution, and marketing of source-identified food products to multiple buyers from multiple producers, primarily local and regional producers, to strengthen the ability of these producers to satisfy local and regional wholesale, retail, and institutional demand.</description><accessLevel>public</accessLevel><modified>2015-10-19</modified><identifier>usda-ams-2015-N040</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>directoryupdates@ams.usda.gov</emailAddress><fn>Ed Ragland</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><description>The Food Hub Directory lists businesses or organizations that actively manages the aggregation, distribution, and marketing of source-identified food products to multiple buyers from multiple producers, primarily local and regional producers, to strengthen the ability of these producers to satisfy local and regional wholesale, retail, and institutional demand.</description><downloadURL>http://search.ams.usda.gov/foodhubs/ExcelExport.aspx</downloadURL><format>application/excel</format><mediaType>application/vnd.ms-excel</mediaType><title>National Food Hub Directory</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National On-Farm Market Directory</title><description>The On-Farm Market 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Worley</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/LSmn02gradingsummary.pdf</downloadURL><mediaType>application/pdf</mediaType><title>February Tonnage Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Summary Of Meats Graded by Month for March</title><description>Summary reports of the volume of meat graded for quality by the USDA Agricultural Marketing Service.</description><accessLevel>public</accessLevel><modified>2015-08-28</modified><identifier>USDA-AMS-2015-N003</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Nita.Worley@usda.gov</emailAddress><fn>Nita Worley</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/LSmn03gradingsummary.pdf</downloadURL><mediaType>application/pdf</mediaType><title>March Tonnage Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Summary of Meats Graded - Calendar Year 2010</title><description>Summary reports of the volume of meat graded for quality by the USDA Agricultural Marketing Service.</description><accessLevel>public</accessLevel><modified>2015-08-28</modified><identifier>USDA-AMS-2015-N022</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jennifer.Porter@ams.usda.gov</emailAddress><fn>Jennifer Porter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/LSMNCY10gradingsummary.pdf</downloadURL><mediaType>application/pdf</mediaType><title>CALENDAR YEAR 2010 Tonage Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Summary of Meats Graded - Calendar Year 2011</title><description>Summary reports of the volume of meat graded for quality by the USDA Agricultural Marketing Service.</description><accessLevel>public</accessLevel><modified>2015-08-28</modified><identifier>USDA-AMS-2015-N021</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jennifer.Porter@ams.usda.gov</emailAddress><fn>Jennifer Porter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/LSMNCY11gradingsummary.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Calendar Year 2011 Tonnage Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Summary of Meats Graded - Calendar Year 2012</title><description>Summary reports of the volume of meat graded for quality by the USDA Agricultural Marketing Service.</description><accessLevel>public</accessLevel><modified>2015-08-28</modified><identifier>USDA-AMS-2015-N020</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jennifer.Porter@ams.usda.gov</emailAddress><fn>Jennifer 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Porter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/LSMNCY14gradingsummary.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Calendar Year 2014 Tonnage Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Summary of Meats Graded - Fiscal Year 2010</title><description>Summary reports of the volume of meat graded for quality by the USDA Agricultural Marketing Service.</description><accessLevel>public</accessLevel><modified>2015-08-28</modified><identifier>USDA-AMS-2015-N017</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jennifer.Porter@ams.usda.gov</emailAddress><fn>Jennifer Porter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/LSMNFY10gradingsummary.pdf</downloadURL><mediaType>application/pdf</mediaType><title>FY10 Tonnage Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Summary of Meats Graded - Fiscal Year 2011</title><description>Summary reports of the volume of meat graded for quality by the USDA Agricultural Marketing Service.</description><accessLevel>public</accessLevel><modified>2015-08-28</modified><identifier>USDA-AMS-2015-N016</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jennifer.Porter@ams.usda.gov</emailAddress><fn>Jennifer Porter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/LSMNFY11gradingsummary.pdf</downloadURL><mediaType>application/pdf</mediaType><title>FY11 Tonnage Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Summary of Meats Graded - Fiscal Year 2012</title><description>Summary reports of the volume of meat graded for quality by the USDA Agricultural Marketing Service.</description><accessLevel>public</accessLevel><modified>2015-08-28</modified><identifier>USDA-AMS-2015-N015</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jennifer.Porter@ams.usda.gov</emailAddress><fn>Jennifer Porter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/LSMNFY12gradingsummary.pdf</downloadURL><mediaType>application/pdf</mediaType><title>FY12 Tonnage Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Summary of Meats Graded - Fiscal Year 2013</title><description>Summary reports of the volume of meat graded for quality by the USDA Agricultural Marketing Service.</description><accessLevel>public</accessLevel><modified>2015-08-28</modified><identifier>USDA-AMS-2015-N014</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jennifer.Porter@ams.usda.gov</emailAddress><fn>Jennifer Porter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/LSMNFY13gradingsummary.pdf</downloadURL><mediaType>application/pdf</mediaType><title>FY13 Tonnage Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Summary of Meats Graded - Fiscal Year 2014</title><description>Summary reports of the volume of meat graded for quality by the USDA Agricultural Marketing Service.</description><accessLevel>public</accessLevel><modified>2015-08-28</modified><identifier>USDA-AMS-2015-N013</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jennifer.Porter@ams.usda.gov</emailAddress><fn>Jennifer Porter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/LSMNFY14gradingsummary.pdf</downloadURL><mediaType>application/pdf</mediaType><title>FY2014 Tonnage Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Summary of Meats Graded - Historical Grading Volumes BEEF</title><description>Summary reports of the volume of meat graded for quality by the USDA Agricultural Marketing Service.</description><accessLevel>public</accessLevel><modified>2015-08-28</modified><identifier>USDA-AMS-2015-N023</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jennifer.Porter@ams.usda.gov</emailAddress><fn>Jennifer Porter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/Historical%20Beef%20Grading%20Volumes.xlsx</downloadURL><mediaType>application/excel</mediaType><title>Beef Tonnage Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Summary of Meats Graded - Historical Grading Volumes LAMB</title><description>Summary reports of the volume of meat graded for quality by the USDA Agricultural Marketing Service.</description><accessLevel>public</accessLevel><modified>2015-08-28</modified><identifier>USDA-AMS-2015-N024</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jennifer.Porter@ams.usda.gov</emailAddress><fn>Jennifer Porter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/Historical%20Lamb%20Grading%20Volumes.xlsx</downloadURL><mediaType>application/excel</mediaType><title>Lamb Tonnage Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Summary of Meats Graded - Historical Grading Volumes VEAL</title><description>Summary reports of the volume of meat graded for quality by the USDA Agricultural Marketing Service.</description><accessLevel>public</accessLevel><modified>2015-08-28</modified><identifier>USDA-AMS-2015-N025</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jennifer.Porter@ams.usda.gov</emailAddress><fn>Jennifer Porter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/Historical%20Veal%20Grading%20Volumes.xlsx</downloadURL><mediaType>application/excel</mediaType><title>Veal Tonnage Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Summary of Meats Graded by Month for April</title><description>Summary reports of the volume of meat graded for quality by the USDA Agricultural Marketing Service.</description><accessLevel>public</accessLevel><modified>2015-08-28</modified><identifier>USDA-AMS-2015-N004</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Nita.Worley@usda.gov</emailAddress><fn>Nita Worley</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/LSmn04gradingsummary.pdf</downloadURL><mediaType>application/pdf</mediaType><title>April Tonnage Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Summary of Meats Graded by Month for August</title><description>Summary reports of the volume of meat graded for quality by the USDA Agricultural Marketing Service.</description><accessLevel>public</accessLevel><modified>2015-08-28</modified><identifier>USDA-AMS-2015-N008</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jennifer.Porter@ams.usda.gov</emailAddress><fn>Jennifer Porter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/LSmn08gradingsummary.pdf</downloadURL><mediaType>application/pdf</mediaType><title>August Tonnage Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Summary of Meats Graded by Month for December</title><description>Summary reports of the volume of meat graded for quality by the USDA Agricultural Marketing Service.</description><accessLevel>public</accessLevel><modified>2015-08-28</modified><identifier>USDA-AMS-2015-N012</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jennifer.Porter@ams.usda.gov</emailAddress><fn>Jennifer Porter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/LSmn12gradingsummary.pdf</downloadURL><mediaType>application/pdf</mediaType><title>December Tonnage Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Summary of Meats Graded by Month for January</title><description>Summary reports of the volume of meat graded for quality by the USDA Agricultural Marketing Service.</description><accessLevel>public</accessLevel><modified>2015-08-28</modified><identifier>USDA-AMS-2015-N001</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>nita.worley@usda.gov</emailAddress><fn>Nita Worley</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/LSmn01gradingsummary.pdf</downloadURL><mediaType>application/pdf</mediaType><title>January Tonnage Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Summary of Meats Graded by Month for July</title><description>Summary reports of the volume of meat graded for quality by the USDA Agricultural Marketing Service.</description><accessLevel>public</accessLevel><modified>2015-08-28</modified><identifier>USDA-AMS-2015-N007</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Nita.Worley@usda.gov</emailAddress><fn>Nita Worley</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/LSmn07gradingsummary.pdf</downloadURL><mediaType>application/pdf</mediaType><title>July Tonnage Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Summary of Meats Graded by Month for June</title><description>Summary reports of the volume of meat graded for quality by the USDA Agricultural Marketing Service.</description><accessLevel>public</accessLevel><modified>2015-08-28</modified><identifier>USDA-AMS-2015-N006</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Nita.Worley@usda.gov</emailAddress><fn>Nita Worley</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/LSmn06gradingsummary.pdf</downloadURL><mediaType>application/pdf</mediaType><title>June Tonnage Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Summary of Meats Graded by Month for May</title><description>Summary reports of the volume of meat graded for quality by the USDA Agricultural Marketing Service.</description><accessLevel>public</accessLevel><modified>2015-08-28</modified><identifier>USDA-AMS-2015-N005</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Nita.Worley@usda.gov</emailAddress><fn>Nita Worley</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/LSmn05gradingsummary.pdf</downloadURL><mediaType>application/pdf</mediaType><title>May Tonnage Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Summary of Meats Graded by Month for November</title><description>Summary reports of the volume of meat graded for quality by the USDA Agricultural Marketing Service.</description><accessLevel>public</accessLevel><modified>2015-08-28</modified><identifier>USDA-AMS-2015-N011</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jennifer.Porter@ams.usda.gov</emailAddress><fn>Jennifer Porter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/LSmn11gradingsummary.pdf</downloadURL><mediaType>application/pdf</mediaType><title>November Tonnage Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Summary of Meats Graded by Month for October</title><description>Summary reports of the volume of meat graded for quality by the USDA Agricultural Marketing Service.</description><accessLevel>public</accessLevel><modified>2015-08-28</modified><identifier>USDA-AMS-2015-N010</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jennifer.Porter@ams.usda.gov</emailAddress><fn>Jennifer 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The PACA protects businesses dealing in fresh and frozen fruits and vegetables by establishing and enforcing a code of fair business practices and by helping companies resolve business disputes.&#13;
&#13;
The PACA Branch is responsible for administering the PACA and offers many services to the industry. PACA Branch experts receive hundreds of telephone calls each week from companies requesting assistance on problems unique to the industry such as interpretation of inspection certificates, advice on contract disputes, and bankruptcy payments.&#13;
&#13;
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PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ams.usda.gov/pdpdata</describedBy><isPartOf>usda-ams-2015-0001</isPartOf><issued>1998-03-09</issued><modified>2014-02-26</modified><spatial>worldwide</spatial><temporal>1994/1994</temporal><identifier>USDA-2454</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>roger.fry@ams.usda.gov</emailAddress><fn>Roger Fry</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/pdp</references><distribution><downloadURL>https://www.ams.usda.gov/sites/default/files/media/1994PDPDatabase.zip</downloadURL><mediaType>application/zip</mediaType><title>Zip File</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Pesticide Data Program 1995</title><description>The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ams.usda.gov/pdp</describedBy><isPartOf>usda-ams-2015-0001</isPartOf><issued>1998-01-01</issued><modified>2014-02-26</modified><spatial>worldwide</spatial><temporal>1995/1995</temporal><identifier>USDA-2453</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>roger.fry@ams.usda.gov</emailAddress><fn>Roger Fry</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/pdp</references><distribution><downloadURL>https://www.ams.usda.gov/sites/default/files/media/1995PDPDatabase.zip</downloadURL><mediaType>application/zip</mediaType><title>https://www.ams.usda.gov/sites/default/files/media/1995PDPDatabase.zip</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Pesticide Data Program 1996</title><description>The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ams.usda.gov/pdp</describedBy><isPartOf>usda-ams-2015-0001</isPartOf><issued>1998-03-09</issued><modified>2014-02-26</modified><spatial>worldwide</spatial><temporal>1996/1996</temporal><identifier>USDA-2452</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>roger.fry@ams.usda.gov</emailAddress><fn>Roger Fry</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/pdp</references><distribution><downloadURL>https://www.ams.usda.gov/sites/default/files/media/1996PDPDatabase.zip</downloadURL><mediaType>application/zip</mediaType><title>Pesticide Data Program 1996</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Pesticide Data Program 1997</title><description>The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ams.usda.gov/pdp</describedBy><isPartOf>usda-ams-2015-0001</isPartOf><issued>1999-01-08</issued><modified>2014-02-26</modified><spatial>worldwide</spatial><temporal>1997/1997</temporal><identifier>USDA-2451</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>roger.fry@ams.usda.gov</emailAddress><fn>Roger Fry</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/pdp</references><distribution><downloadURL>https://www.ams.usda.gov/sites/default/files/media/1996PDPDatabase.zip</downloadURL><mediaType>application/zip</mediaType><title>Pesticide Data Program 1997</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Pesticide Data Program 1998</title><description>The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ams.usda.gov/pdp</describedBy><isPartOf>usda-ams-2015-0001</isPartOf><issued>2000-03-14</issued><modified>2014-02-26</modified><spatial>worldwide</spatial><temporal>1998/1998</temporal><identifier>USDA-2450</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>roger.fry@ams.usda.gov</emailAddress><fn>Roger Fry</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/pdpdata</references><distribution><downloadURL>https://www.ams.usda.gov/sites/default/files/media/1998PDPDatabase.zip</downloadURL><mediaType>application/zip</mediaType><title>Pesticide Data Program 1998</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Pesticide Data Program 1999</title><description>The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ams.usda.gov/pdp</describedBy><isPartOf>usda-ams-2015-0001</isPartOf><issued>2001-01-18</issued><modified>2014-02-26</modified><spatial>worldwide</spatial><temporal>1999/1999</temporal><identifier>USDA-2449</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>roger.fry@ams.usda.gov</emailAddress><fn>Roger Fry</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/pdp</references><distribution><downloadURL>https://www.ams.usda.gov/sites/default/files/media/1999PDPDatabase.zip</downloadURL><mediaType>application/zip</mediaType><title>Pesticide Data Program 1999</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Pesticide Data Program 2000</title><description>The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ams.usda.gov/pdp</describedBy><isPartOf>usda-ams-2015-0001</isPartOf><issued>2002-01-13</issued><modified>2014-02-26</modified><spatial>worldwide</spatial><temporal>2000/2000</temporal><identifier>USDA-2448</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>roger.fry@ams.usda.gov</emailAddress><fn>Roger Fry</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/pdp</references><distribution><downloadURL>https://www.ams.usda.gov/sites/default/files/media/2000PDPDatabase.zip</downloadURL><mediaType>application/zip</mediaType><title>Pesticide Data Program 2000</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Pesticide Data Program 2001</title><description>The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ams.usda.gov/pdp</describedBy><isPartOf>usda-ams-2015-0001</isPartOf><issued>2003-02-14</issued><modified>2014-02-26</modified><spatial>worldwide</spatial><temporal>2001/2001</temporal><identifier>USDA-2447</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>roger.fry@ams.usda.gov</emailAddress><fn>Roger Fry</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/pdp</references><distribution><downloadURL>https://www.ams.usda.gov/sites/default/files/media/2001PDPDatabase.zip</downloadURL><mediaType>application/zip</mediaType><title>Pesticide Data Program 2001</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Pesticide Data Program 2002</title><description>The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ams.usda.gov/pdp</describedBy><isPartOf>usda-ams-2015-0001</isPartOf><issued>2004-02-18</issued><modified>2014-02-26</modified><spatial>worldwide</spatial><temporal>2002/2002</temporal><identifier>USDA-2446</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>roger.fry@ams.usda.gov</emailAddress><fn>Roger Fry</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/pdp</references><distribution><downloadURL>https://www.ams.usda.gov/sites/default/files/media/2002PDPDatabase.zip</downloadURL><mediaType>application/zip</mediaType><title>Pesticide Data Program 2002</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Pesticide Data Program 2003</title><description>The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ams.usda.gov/pdp</describedBy><isPartOf>usda-ams-2015-0001</isPartOf><issued>2005-02-25</issued><modified>2014-02-26</modified><spatial>worldwide</spatial><temporal>2003/2003</temporal><identifier>USDA-2445</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>roger.fry@ams.usda.gov</emailAddress><fn>Roger Fry</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/pdp</references><distribution><downloadURL>https://www.ams.usda.gov/sites/default/files/media/2003PDPDatabase.zip</downloadURL><mediaType>application/zip</mediaType><title>Pesticide Data Program 2003</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Pesticide Data Program 2004</title><description>The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ams.usda.gov/pdp</describedBy><isPartOf>usda-ams-2015-0001</isPartOf><issued>2006-02-03</issued><modified>2014-02-26</modified><spatial>worldwide</spatial><temporal>2004/2004</temporal><identifier>USDA-2444</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>roger.fry@ams.usda.gov</emailAddress><fn>Roger Fry</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/pdp</references><distribution><downloadURL>https://www.ams.usda.gov/sites/default/files/media/2004PDPDatabase.zip</downloadURL><mediaType>application/zip</mediaType><title>Pesticide Data Program 2004</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Pesticide Data Program 2005</title><description>The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ams.usda.gov/pdp</describedBy><isPartOf>usda-ams-2015-0001</isPartOf><issued>2007-02-07</issued><modified>2014-02-26</modified><spatial>worldwide</spatial><temporal>2005/2005</temporal><identifier>USDA-2443</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>roger.fry@ams.usda.gov</emailAddress><fn>Roger Fry</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/pdp</references><distribution><downloadURL>https://www.ams.usda.gov/sites/default/files/media/2005PDPDatabase.zip</downloadURL><mediaType>application/zip</mediaType><title>Pesticide Data Program 2005</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Pesticide Data Program 2006</title><description>The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ams.usda.gov/pdp</describedBy><isPartOf>usda-ams-2015-0001</isPartOf><issued>2007-12-13</issued><modified>2014-02-26</modified><spatial>worldwide</spatial><temporal>2006/2006</temporal><identifier>USDA-2442</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>roger.fry@ams.usda.gov</emailAddress><fn>Roger Fry</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/pdp</references><distribution><downloadURL>https://www.ams.usda.gov/sites/default/files/media/2006PDPDatabase.zip</downloadURL><mediaType>application/zip</mediaType><title>Pesticide Data Program 2006</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Pesticide Data Program 2007</title><description>The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ams.usda.gov/pdp</describedBy><isPartOf>usda-ams-2015-0001</isPartOf><issued>2008-12-18</issued><modified>2014-02-26</modified><spatial>worldwide</spatial><temporal>2007/2007</temporal><identifier>USDA-2441</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>roger.fry@ams.usda.gov</emailAddress><fn>Roger Fry</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/pdp</references><distribution><downloadURL>https://www.ams.usda.gov/sites/default/files/media/1993PDPDatabase.zip</downloadURL><mediaType>application/zip</mediaType><title>Pesticide Data Program 2007</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Pesticide Data Program 2008</title><description>The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedBy>http://www.ams.usda.gov/pdp</describedBy><isPartOf>usda-ams-2015-0001</isPartOf><issued>2010-01-12</issued><modified>2014-02-26</modified><spatial>worldwide</spatial><temporal>2008/2008</temporal><identifier>USDA-2440</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>roger.fry@ams.usda.gov</emailAddress><fn>Roger Fry</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/pdp</references><distribution><downloadURL>https://www.ams.usda.gov/sites/default/files/media/1992PDPDatabase.zip</downloadURL><mediaType>application/zip</mediaType><title>Pesticide Data Program 2008</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Pesticide Data Program 2009</title><description>The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.</description><accessLevel>public</accessLevel><isPartOf>usda-ams-2015-0001</isPartOf><landingPage>http://www.ams.usda.gov/pdpdata</landingPage><modified>2015-08-21</modified><identifier>usda-ams-15-2009</identifier><publisher><subOrganization><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher></subOrganization><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>roger.fry@ams.usda.gov</emailAddress><fn>Roger Fry</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/2009PDPDatabase.zip</downloadURL><mediaType>application/zip</mediaType><title>2008 PDP Database</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Plant Variety Protection Office Certificate Database</title><description>The Plant Variety Protection Office (PVPO) Scanned Certificates Database is a collection of Certificates of Protection for new plant varieties that are seed reproduced or tuber propagated. A variety may be represented by seeds, transplants, plants, tubers, tissue culture plantlets and other matter. A Certificate of Protection is awarded to an owner of a variety after an examination shows that it is new, distinct from other varieties, and genetically uniformed and stable through successive generations. This tool allows stakeholders access to the breeding history and morphological characteristics used in developing new plant varieties. This tool contains over 5,000 varieties that have been issued a Certificate of Protection since 1975.</description><accessLevel>public</accessLevel><issued>1975-01-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2015-03-11</modified><spatial>global</spatial><identifier>USDA-2459</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>bernadette.thomas@ams.usda.gov</emailAddress><fn>Bernadette Thomas</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/AMSv1.0/pvpo</references><distribution><downloadURL>http://apps.ams.usda.gov/CMS/</downloadURL><mediaType>application/pdf</mediaType><title>PDF File</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Port Region Grain Ocean Vessel Activity</title><description>Table 17: Weekly Port Region Grain Ocean Vessel Activity (number of vessels)</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1W</accrualPeriodicity><issued>2011-09-22</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>Global</spatial><identifier>USDA-5248</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pierre.bahizi@ams.usda.gov</emailAddress><fn>Pierre Bahizi</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/gtr</references><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/GTRTable17.xlsx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Excel Document</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Poultry Market News Search</title><description>The primary function of the Livestock, Poultry, and Grain Market News Division of the Livestock, Poultry and Seed Program is to compile and disseminate information that will aid producers, consumers, and distributors in the sale and purchase of poultry and their related products nationally and internationally.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1D</accrualPeriodicity><issued>2013-04-26</issued><landingPage>http://marketnews.usda.gov/</landingPage><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States</spatial><identifier>USDA-29201</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>WASH.LGMN@AMS.USDA.GOV</emailAddress><fn>Rick Tanger</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://marketnews.usda.gov/</references><distribution><downloadURL>http://marketnews.usda.gov/</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Poultry Market News Search</title><description>The primary function of the Livestock, Poultry, and Grain Market News Division of the Livestock, Poultry and Seed Programs is to compile and disseminate information that will aid producers, consumers, and distributors in the sale and purchase of poultry and their related products nationally and internationally.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1D</accrualPeriodicity><describedBy>http://www.ams.usda.gov/AMSv1.0/LPS</describedBy><issued>2012-03-28</issued><modified>2014-02-26</modified><spatial>United States</spatial><identifier>USDA-25241</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Michael.Lynch@ams.usda.gov</emailAddress><fn>Michael Lynch</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/AMSv1.0/LPS</references><distribution><downloadURL>http://marketnews.usda.gov/portal/py?&amp;paf_gear_id=5400010&amp;paf_dm=full&amp;reportConfig=true</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Quarterly Cost Of Transporting Brazilian Soybeans To Hamburg, Germany</title><description>Compares the quarterly total landed costs (truck and ocean) of shipping Brazilian soybeans through the ports of Santos, Paranaguá, and Rio Grande to Hamburg, Germany, to the same period a year earlier. This is table 2 of the Brazil Soybean Transportation report.</description><accessLevel>public</accessLevel><modified>2015-11-05</modified><identifier>usda-ams-2015-N030</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>delmy.salin@ams.usda.gov</emailAddress><fn>Delmy L. Salin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><description>Compares the quarterly total landed costs (truck and ocean) of shipping Brazilian soybeans through the ports of Santos, Paranaguá, and Rio Grande to Hamburg, Germany, to the same period a year earlier. This is table 2 of the Brazil Soybean Transportation report.</description><downloadURL>http://www.ams.usda.gov/sites/default/files/media/BrazilSoybeanTable2.xlsx</downloadURL><format>application/Excel</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><title>Quarterly Cost Of Transporting Brazilian Soybeans To Hamburg, Germany</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Quarterly Costs Of Transporting Brazilian Soybeans From The North And Northeastern Ports To Hamburg, Germany</title><description>Quarterly total landed costs (truck and ocean) of shipping Brazilian soybeans through the ports of Santarém and São Luís to Hamburg, Germany. This is table 6 of the Brazil Soybean Transportation report.</description><accessLevel>public</accessLevel><modified>2015-11-05</modified><identifier>usda-ams-2015-N034</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>delmy.salin@ams.usda.gov</emailAddress><fn>Delmy L. Salin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><description>Quarterly total landed costs (truck and ocean) of shipping Brazilian soybeans through the ports of Santarém and São Luís to Hamburg, Germany. This is table 6 of the Brazil Soybean Transportation report.</description><downloadURL>http://www.ams.usda.gov/sites/default/files/media/BrazilSoybeanTable6.xlsx</downloadURL><format>application/Excel</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><title>Quarterly Costs Of Transporting Brazilian Soybeans From The North And Northeastern Ports To Hamburg, Germany</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Quarterly Costs Of Transporting Brazilian Soybeans From The North And Northeastern Ports To Shanghai, China</title><description>Quarterly total landed costs (truck and ocean) of shipping Brazilian soybeans through the ports of Santarém and São Luís Santos to Shanghai, China. This is table 5 of the Brazil Soybean Transportation report.</description><accessLevel>public</accessLevel><modified>2015-11-05</modified><identifier>usda-ams-2015-N033</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>delmy.salin@ams.usda.gov</emailAddress><fn>Delmy L. Salin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><description>Quarterly total landed costs (truck and ocean) of shipping Brazilian soybeans through the ports of Santarém and São Luís Santos to Shanghai, China. This is table 5 of the Brazil Soybean Transportation report.</description><downloadURL>http://www.ams.usda.gov/sites/default/files/media/Brazil_Qtr2_Table_5.xlsx</downloadURL><format>application/Excel</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><title>Quarterly Costs Of Transporting Brazilian Soybeans From The North And Northeastern Ports To Shanghai, China</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Quarterly Costs Of Transporting Brazilian Soybeans From The Southern Ports To Hamburg, Germany</title><description>Quarterly total landed costs (truck and ocean) of shipping Brazilian soybeans through the ports of Santos, Paranaguá, and Rio Grande to Hamburg, Germany.</description><accessLevel>public</accessLevel><modified>2016-06-29</modified><identifier>usda-ams-2015-N0100</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>delmy.salin@ams.usda.gov</emailAddress><fn>Delmy L. Salin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><description>Quarterly total landed costs (truck and ocean) of shipping Brazilian soybeans through the ports of Santos, Paranaguá, and Rio Grande to Hamburg, Germany. This is table 4 of the Brazil Soybean Transportation report.</description><downloadURL>http://www.ams.usda.gov/sites/default/files/media/Brazil_Qtr2_Table_4.xlsx</downloadURL><format>application/Excel</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><title>Quarterly Costs Of Transporting Brazilian Soybeans From The Southern Ports To Hamburg, Germany</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Quarterly Costs Of Transporting Brazilian Soybeans From The Southern Ports To Shanghai, China</title><description>Quarterly total landed costs (truck and ocean) of shipping Brazilian soybeans through the ports of Santos, Paranaguá, and Rio Grande to Shanghai, China.</description><accessLevel>public</accessLevel><modified>2015-11-05</modified><identifier>usda-ams-2015-N031</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>delmy.salin@ams.usda.gov</emailAddress><fn>Delmy L. Salin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><description>Quarterly total landed costs (truck and ocean) of shipping Brazilian soybeans through the ports of Santos, Paranaguá, and Rio Grande to Shanghai, China. This is table 3 of the Brazil Soybean Transportation report.</description><downloadURL>http://www.ams.usda.gov/sites/default/files/media/BrazilSoybeanTable3.xlsx</downloadURL><format>application/Excel</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><title>Quarterly Costs Of Transporting Brazilian Soybeans From The Southern Ports To Shanghai, China</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Quarterly Costs Of Transporting Brazilian Soybeans To Shanghai, China</title><description>Compares the quarterly total landed costs (truck and ocean) of shipping Brazilian soybeans through the ports of Santos, Paranaguá, and Rio Grande to Shanghai, China, to the same period a year earlier. This is table 1 of the Brazil Soybean Transportation report.</description><accessLevel>public</accessLevel><modified>2015-11-05</modified><identifier>usda-ams-2015-N029</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>delmy.salin@ams.usda.gov</emailAddress><fn>Delmy L. Salin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><description>Compares the quarterly total landed costs (truck and ocean) of shipping Brazilian soybeans through the ports of Santos, Paranaguá, and Rio Grande to Shanghai, China, to the same period a year earlier. This is table 1 of the Brazil Soybean Transportation report.</description><downloadURL>http://www.ams.usda.gov/sites/default/files/media/BrazilSoybeanTable1.xlsx</downloadURL><format>application/excel</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><title>Quarterly Costs Of Transporting Brazilian Soybeans To Shanghai, China</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Quarterly Ocean Freight Rates For Shipping Soybeans From Selected Brazilian Ports To Hamburg, Germany And Shanghai, China</title><description>Shows 2005 to present quarterly ocean freight rates per metric ton from the ports of Santos, Paranaguá, Rio Grande, Santarém, São Luís, and Barcarena to Shanghai, China, and Hamburg, Germany. This is table 9 of the Brazil Soybean Transportation report.</description><accessLevel>public</accessLevel><modified>2015-11-05</modified><identifier>usda-ams-2015-N037</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>delmy.salin@ams.usda.gov</emailAddress><fn>Delmy L. Salin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><description>Shows 2005 to present quarterly ocean freight rates per metric ton from the ports of Santos, Paranaguá, Rio Grande, Santarém, São Luís, and Barcarena to Shanghai, China, and Hamburg, Germany. This is table 9 of the Brazil Soybean Transportation report.</description><downloadURL>http://www.ams.usda.gov/sites/default/files/media/BrazilSoybeanTable9.xlsx</downloadURL><format>application/Excel</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><title>Quarterly Ocean Freight Rates For Shipping Soybeans From Selected Brazilian Ports To Hamburg, Germany And Shanghai, China</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Quarterly costs of transporting Brazilian soybeans from the southern ports to Hamburg, Germany</title><description>Quarterly total landed costs (truck and ocean) of shipping Brazilian soybeans through the ports of Santos, Paranaguá, and Rio Grande to Hamburg, Germany. This is table 4 of the Brazil Soybean Transportation report.</description><accessLevel>public</accessLevel><modified>2015-09-21</modified><identifier>usda-ams-2015-N032</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>delmy.salin@ams.usda.gov</emailAddress><fn>Delmy L. 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Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pierre.bahizi@ams.usda.gov</emailAddress><fn>Pierre Bahizi</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/gtr</references><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/GTRFigure7.xlsx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Excel Document</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Tariff Rail Rates for U.S. Bulk Grain Shipments to Mexico</title><description>Table 8: Tariff Rail Rates for U.S. Bulk Grain Shipments to Mexico</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><issued>2011-09-22</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>Global</spatial><identifier>USDA-5235</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pierre.bahizi@ams.usda.gov</emailAddress><fn>Pierre Bahizi</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/gtr</references><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/GTRTable8.xlsx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Excel Document</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Tariff Rail Rates for Unit and Shuttle Train Shipments</title><description>Table 7: Tariff Rail Rates for Unit and Shuttle Train Shipments</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><issued>2011-09-22</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>US</spatial><identifier>USDA-5234</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pierre.bahizi@ams.usda.gov</emailAddress><fn>Pierre Bahizi</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/gtr</references><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/GTRTable7.xlsx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Excel Document</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Top 10 Importers of U.S. Wheat</title><description>Table 15: Top 10 Importers of U.S. Wheat</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1W</accrualPeriodicity><issued>2011-09-22</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>Global</spatial><identifier>USDA-5246</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pierre.bahizi@ams.usda.gov</emailAddress><fn>Pierre Bahizi</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/gtr</references><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/GTRTable15.xlsx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Excel Document</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Top 5 Importers of U.S. Corn</title><description>Table 13: Top 5 Importers of U.S. Corn</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1W</accrualPeriodicity><issued>2011-09-22</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>Global</spatial><identifier>USDA-5244</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pierre.bahizi@ams.usda.gov</emailAddress><fn>Pierre Bahizi</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/gtr</references><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/GTRTable13.xlsx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Excel Document</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Top 5 Importers of U.S. Soybeans</title><description>Table 14: Top 5 Importers of U.S. Soybeans</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1W</accrualPeriodicity><issued>2011-09-22</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>Global</spatial><identifier>USDA-5245</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pierre.bahizi@ams.usda.gov</emailAddress><fn>Pierre Bahizi</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/gtr</references><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/GTRTable14.xlsx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Excel Document</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Truck Rates For Selected Brazilian Soybean Export Transportation Routes</title><description>Quarterly costs of shipping a metric ton (mt) of soybeans per 100 miles by truck of 33 routes in 12 states, representing about 83 percent of Brazilian soybean production. This is table 7 of the Brazil Soybean Transportation report.</description><accessLevel>public</accessLevel><modified>2015-11-05</modified><identifier>usda-ams-2015-N035</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>delmy.salin@ams.usda.gov</emailAddress><fn>Delmy L. Salin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><description>Quarterly costs of shipping a metric ton (mt) of soybeans per 100 miles by truck of 33 routes in 12 states, representing about 83 percent of Brazilian soybean production. This is table 7 of the Brazil Soybean Transportation report.</description><downloadURL>http://www.ams.usda.gov/sites/default/files/media/BrazilSoybeanTable7.xlsx</downloadURL><format>application/Excel</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><title>Truck Rates For Selected Brazilian Soybean Export Transportation Routes</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Truck Rates For Selected North, South, And Northeastern Brazilian Soybean Export Transportation Routes</title><description>Compares monthly truck rates from north Mato Grosso and East Tocantins to the ports Itaituba, Porto Velho, Santarém, São Luís, Santos, and Paranaguá. This is figure 4 of the Brazil Soybean Transportation report</description><accessLevel>public</accessLevel><modified>2015-11-05</modified><identifier>usda-ams-2015-N027</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>delmy.salin@ams.usda.gov</emailAddress><fn>Delmy L. Salin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/Brazil_Qtr2_Figure_4.xls</downloadURL><format>application/vnd.ms-excel</format><mediaType>application/vnd.ms-excel</mediaType><title>Truck Rates For Selected North, South, And Northeastern Brazilian Soybean Export Transportation Routes</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Truck Rates For Selected Southern Brazilian Soybean Export Transportation Routes</title><description>Compares monthly truck rates from western center Paraná, north Mato Grosso, southwest Mato Grosso do Sul, and South Goiás to the port of Santos and Paranaguá. This is figure 3 of the Brazil Soybean Transportation report.</description><accessLevel>public</accessLevel><modified>2015-11-05</modified><identifier>usda-ams-2015-N026</identifier><publisher><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>delmy.salin@ams.usda.gov</emailAddress><fn>Delmy L. Salin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><description>Compares monthly truck rates from western center Paraná, north Mato Grosso, southwest Mato Grosso do Sul, and South Goiás to the port of Santos and Paranaguá. This is figure 3 of the Brazil Soybean Transportation report.</description><downloadURL>http://www.ams.usda.gov/sites/default/files/media/BrazilSoybeanFigure3.xlsx</downloadURL><format>application/Excel</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><title>Truck Rates For Selected Southern Brazilian Soybean Export Transportation Routes</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>U.S. Export Balances and Cumulative Exports</title><description>Table 12: U.S. Export Balances and Cumulative Exports</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1W</accrualPeriodicity><issued>2011-09-22</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>US</spatial><identifier>USDA-5243</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pierre.bahizi@ams.usda.gov</emailAddress><fn>Pierre Bahizi</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/gtr</references><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/GTRTable12.xlsx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Excel Document</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>U.S. Grain Inspections: U.S. Gulf and PNW</title><description>Figure 15: U.S. Grain Inspections: U.S. Gulf and PNW</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1W</accrualPeriodicity><issued>2011-09-22</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>Global</spatial><identifier>USDA-5249</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pierre.bahizi@ams.usda.gov</emailAddress><fn>Pierre Bahizi</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/gtr</references><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/GTRFigure15.xlsx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Excel Document</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>U.S. Gulf Vessel Loading Activity</title><description>Figure 16: U.S. Gulf Vessel Loading Activity</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1W</accrualPeriodicity><issued>2011-09-22</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>Global</spatial><identifier>USDA-5250</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pierre.bahizi@ams.usda.gov</emailAddress><fn>Pierre Bahizi</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/gtr</references><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/GTRFigure16.xlsx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Excel Document</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Meat Grading Reports</title><description>Summary reports of the volume of meat gradied for quality by the USDA Agricultural Marketing Service</description><accessLevel>public</accessLevel><landingPage>http://www.ams.usda.gov/reports/meat-grading</landingPage><modified>2015-08-27</modified><identifier>usda-ams-15-0002</identifier><publisher><subOrganization><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher></subOrganization><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>nita.worley@usda.gov</emailAddress><fn>Nita Worley</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><distribution><downloadURL>http://www.ams.usda.gov/reports/meat-grading</downloadURL><mediaType>application/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Up Bound Empty Barges</title><description>Figure 11: Up Bound Empty Barges</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1W</accrualPeriodicity><issued>2011-09-22</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>Global</spatial><identifier>USDA-5241</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pierre.bahizi@ams.usda.gov</emailAddress><fn>Pierre Bahizi</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/gtr</references><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/GTRFigure11.xlsx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Excel Document</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Weekly Barge Freight Rates for Southbound Only Shipments</title><description>Table 9: Weekly Barge Freight Rates for Southbound Only Shipments</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1W</accrualPeriodicity><issued>2011-09-22</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>US</spatial><identifier>USDA-5238</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>pierre.bahizi@ams.usda.gov</emailAddress><fn>Pierre Bahizi</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://www.ams.usda.gov/gtr</references><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/GTRTable9.xlsx</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Excel Document</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Wholesale Markets</title><description>This is USDA's Agricultural Marketing Service's list of wholesale markets, or facilities where wholesalers receive large quantities of commodities by rail, truck, and air from local growers as well as producers around the world for sale to grocers, restaurants, institutions, and other businesses. About 90% of wholesale markets sell fresh fruits and vegetables, but there are also seafood, meat, and flower wholesale markets.</description><accessLevel>public</accessLevel><accrualPeriodicity>irregular</accrualPeriodicity><issued>2013-04-26</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States</spatial><identifier>USDA-29221</identifier><publisher><name>Agricultural Marketing Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Gregory.Grajewski@ams.usda.gov</emailAddress><fn>Greg Grajewski</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:45</bureauCode><programCode>005:047</programCode><references>http://apps.ams.usda.gov/MarketingPublicationSearch/</references><distribution><downloadURL>http://apps.ams.usda.gov/MarketingPublicationSearch/</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Actuarial Information Browser</title><description>The Actuarial Information Browser is a web based tool that allows users to view actuarial data and other information regarding commodities insured under the Federal Crop Insurance program. The information is retrieved based on the following selectable criteria: reinsurance year, commodity, insurance plan, state and county. The information is displayed in reports, including but not limited to, rates, commodity prices, and special provisions.</description><accessLevel>public</accessLevel><landingPage>http://webapp.rma.usda.gov/apps/actuarialinformationbrowser/</landingPage><modified>2014-04-03</modified><identifier>USDA-RMA-0001</identifier><publisher><name>U. S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>megan.heyns@RMA.USDA.GOV</emailAddress><fn>Megan Heyns</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:47</bureauCode><programCode>005:022</programCode><distribution><description>The Actuarial Information Browser is a web based tool that allows users to view actuarial data and other information regarding commodities insured under the Federal Crop Insurance program. The information is retrieved based on the following selectable criteria: reinsurance year, commodity, insurance plan, state and county. The information is displayed in reports, including but not limited to, rates, commodity prices, and special provisions.</description><downloadURL>http://webapp.rma.usda.gov/apps/actuarialinformationbrowser/</downloadURL><mediaType>text/html</mediaType><title>Actuarial Information Browser</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Agent and Insurance Provider Locators</title><description>The Risk Management Agency (RMA) provides agent and company information as a service to our customers. All data displayed is provided by insurance providers operating under a reinsurance agreement with RMA.</description><accessLevel>public</accessLevel><landingPage>http://www.rma.usda.gov/tools/agent.html</landingPage><modified>2014-05-05</modified><identifier>USDA-RMA-0005</identifier><publisher><name>U. S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Barbara.Carter@rma.usda.gov</emailAddress><fn>Barbara Carter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:47</bureauCode><programCode>005:022</programCode><distribution><downloadURL>http://www.rma.usda.gov/tools/agent.html</downloadURL><mediaType>text/html</mediaType><title>RMA - Agent and Insurance Provider Locators</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Cause of Loss Historical Files</title><description>The Risk Management Agency (RMA) Cause of Loss Historical Files summarize participation information broken down by the causes of loss. Each link contains a ZIP file with compressed data containing CSV flat-files that can be imported into any standard spreadsheet and/or database for further analysis. Record description file located in each subfolder.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><landingPage>http://www.rma.usda.gov/data/cause.html</landingPage><modified>2013-01-01</modified><identifier>USDA-RMA-0007</identifier><publisher><name>U. S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Barbara.Carter@rma.usda.gov</emailAddress><fn>Barbara Carter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:47</bureauCode><programCode>005:022</programCode><distribution><downloadURL>http://www.rma.usda.gov/data/cause.html</downloadURL><mediaType>text/html</mediaType><title>Cause of Loss of Historical Files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>County Crop Programs</title><description>The Risk Management Agency (RMA) County Crop Programs provide maps and associated text files to display the insurable commodities at a county level.</description><accessLevel>public</accessLevel><landingPage>http://www.rma.usda.gov/data/cropprograms.html</landingPage><modified>2013-01-01</modified><identifier>USDA-RMA-0006</identifier><publisher><name>U. S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Monte.crosby@rma.usda.gov</emailAddress><fn>Monte Crosby</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:47</bureauCode><programCode>005:022</programCode><distribution><downloadURL>http://www.rma.usda.gov/data/cropprograms.html</downloadURL><mediaType>text/html</mediaType><title>County Crop Programs</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Information Reporting System</title><description>The RMA Information Reporting System (RIRS) is a web based tool that allows users to create parameter driven reports for various types of RMA data such as commodity programs, insurance offer dates and prices. Users may create reports in a variety of formats such as Excel, Word, or PDF.</description><accessLevel>public</accessLevel><landingPage>http://webapp.rma.usda.gov/apps/RIRS/</landingPage><modified>2014-04-15</modified><identifier>USDA-RMA-0003</identifier><publisher><name>U. S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>megan.heyns@RMA.USDA.GOV</emailAddress><fn>Megan Heyns</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:47</bureauCode><programCode>005:022</programCode><distribution><downloadURL>http://webapp.rma.usda.gov/apps/RIRS/</downloadURL><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Pesticide Data Program 2010</title><description>The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.</description><accessLevel>public</accessLevel><isPartOf>usda-ams-2015-0001</isPartOf><landingPage>http://www.ams.usda.gov/pdpdata</landingPage><modified>2015-08-21</modified><identifier>usda-ams-15-2010</identifier><publisher><subOrganization><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher></subOrganization><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>roger.fry@ams.usda.gov</emailAddress><fn>Roger Fry</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:47</bureauCode><programCode>005:045</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/2010PDPDatabase.zip</downloadURL><mediaType>application/zip</mediaType><title>2010 PDP FIle</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Pesticide Data Program 2011</title><description>The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.</description><accessLevel>public</accessLevel><isPartOf>usda-ams-2015-0001</isPartOf><landingPage>http://www.ams.usda.gov/pdpdata</landingPage><modified>2015-08-21</modified><identifier>usda-ams-15-2011</identifier><publisher><subOrganization><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher></subOrganization><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>roger.fry@ams.usda.gov</emailAddress><fn>Roger Fry</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:47</bureauCode><programCode>005:045</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/2011PDPDatabase.zip</downloadURL><mediaType>application/zip</mediaType><title>2011 PDP File</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Pesticide Data Program 2012</title><description>The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.</description><accessLevel>public</accessLevel><isPartOf>usda-ams-2015-0001</isPartOf><landingPage>http://www.ams.usda.gov/pdpdata</landingPage><modified>2015-08-21</modified><identifier>usda-ams-15-2012</identifier><publisher><subOrganization><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher></subOrganization><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>roger.fry@ams.usda.gov</emailAddress><fn>Roger Fry</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:47</bureauCode><programCode>005:045</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/2012PDPDatabase.zip</downloadURL><mediaType>application/zip</mediaType><title>2012 Pesticide Data File</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Pesticide Data Program 2013</title><description>The USDA Pesticide Data Program (PDP) database provides national data on pesticide residues in food and water, with an emphasis on foods consumed by infants and children. PDP data are used primarily by EPA to prepare realistic pesticide dietary exposures for pesticide registration activities. Data for each calendar-year survey are stored in a separate dataset.</description><accessLevel>public</accessLevel><isPartOf>usda-ams-2015-0001</isPartOf><landingPage>http://www.ams.usda.gov/pdpdata</landingPage><modified>2015-08-21</modified><identifier>usda-ams-15-2013</identifier><publisher><subOrganization><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher></subOrganization><name>Agricultural Marketing Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>roger.fry@ams.usda.gov</emailAddress><fn>Roger Fry</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:47</bureauCode><programCode>005:045</programCode><distribution><downloadURL>http://www.ams.usda.gov/sites/default/files/media/2013PDPDatabase.zip</downloadURL><mediaType>application/zip</mediaType><title>2013 Pesticide Data File</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Price Discovery</title><description>The Price Discovery is a web based tool that allows users to view pricing information for the following crops covered by the Common Crop Insurance and the Area Risk Protection policies: barley, canola (including rapeseed), corn, cotton, grain sorghum, rice, soybeans, sunflowers, and wheat, and coverage prices, rates and actual ending values for the Livestock Risk Protection program, and expected and actual gross margin information for the Livestock Gross Margin program.</description><accessLevel>public</accessLevel><landingPage>http://prodwebnlb.rma.usda.gov/apps/PriceDiscovery</landingPage><modified>2014-04-16</modified><identifier>USDA-RMA-0002</identifier><publisher><name>U. S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Mirjana.kamatovic@rma.usda.gov</emailAddress><fn>Mirjana Kamatovic</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:47</bureauCode><programCode>005:022</programCode><distribution><downloadURL>http://prodwebnlb.rma.usda.gov/apps/PriceDiscovery</downloadURL><mediaType>text/html</mediaType><title>Price Discovery</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Summary of Business</title><description>The Risk Management Agency (RMA) Summary of Business includes a variety of reports, data files, and an application that provide insurance experience for commodities grown and insured. This includes the most current information, some national reports, and the ability to create ad-hoc queries. Data for the past five years, which is updated each Monday, includes all of the business data that has been validated and accepted throughout the previous week with a cutoff every Friday. Data for the older years is static and no longer updated.</description><accessLevel>public</accessLevel><landingPage>http://www.rma.usda.gov/data/sob.html</landingPage><modified>2014-05-05</modified><identifier>USDA-RMA-0004</identifier><publisher><name>U. S. Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Barbara.Carter@rma.usda.gov</emailAddress><fn>Barbara Carter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:47</bureauCode><programCode>005:022</programCode><distribution><downloadURL>http://www.rma.usda.gov/data/sob.html</downloadURL><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Conservation Reserve Program Average Payments by County</title><description>Average Conservation Reserve Program Rental Payments by County.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><issued>2010-03-30</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>2007/2009</temporal><identifier>USDA-4094</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:014</programCode><references>http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=copr&amp;topic=rns-css</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/corentalpymnts0310.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Conservation Reserve Program Average Payments by State</title><description>Average Conservation Reserve Program Rental Payments by State.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><issued>2010-03-30</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>2007/2009</temporal><identifier>USDA-4093</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:014</programCode><references>http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=copr&amp;topic=rns-css</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/staterentalpymnts0310.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Conservation Reserve Program Contract Expirations by County for 2009-2025</title><description>Conservation Reserve Program Contract Scheduled Expirations (acreage scheduled to expire and leave the program) by fiscal year and County for 2005-2009.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><issued>2010-03-04</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>2009/2025</temporal><identifier>USDA-4091</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:014</programCode><references>http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=copr&amp;topic=rns-css</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/expirefips0310.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Conservation Reserve Program Contract Expirations for 2005-2009</title><description>"Conservation Reserve Program Contract Expirations (acreage that expired and left the program) by fiscal year and State for 2005-2009."</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><issued>2010-01-05</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>2005/2009</temporal><identifier>USDA-4089</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:014</programCode><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/exp0509.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Conservation Reserve Program Enrollment by County for 1986-2008</title><description>Conservation Reserve Program Contract Scheduled Enrollment (acreage under contract at the end of period) by fiscal year and County for 1986 to 2008.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><issued>2009-10-15</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>1986/2008</temporal><identifier>USDA-4092</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:014</programCode><references>http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=copr&amp;topic=rns-css</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/cumulative08.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Crop Year 2012 Disaster Declarations</title><description>Tabular records of State and County level records of crop year 2012 disaster designations made by the US Secretary of Agriculture.</description><accessLevel>public</accessLevel><modified>2014-04-09</modified><temporal>2012/2012</temporal><identifier>USDA-FSA-00007</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>brad.karmen@usda.gov</emailAddress><fn>Brad Karmen</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/disaster_cty_cy2012.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Crop Year 2012 Disaster Declarations</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Crop Year 2012 Disaster Map</title><description>Crop year 2012 US map at the county level shows designations across the country under USDA's amended rule. The faster, more efficient process will immediately expand assistance to more than 1,000 counties in 26 states.</description><accessLevel>public</accessLevel><modified>2014-04-04</modified><temporal>2012/2012</temporal><identifier>USDA-FSA-00010</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>brad.karmen@usda.gov</emailAddress><fn>Brad Karmen</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/disaster_map_cropyr_2012.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Crop Year 2012 Disaster Map</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Crop Year 2012 Drought Specific Disaster Designations Map</title><description>Crop year 2012 US map at the county level shows drought-specific disaster designations across the country under USDA's amended rule.</description><accessLevel>public</accessLevel><modified>2014-02-13</modified><temporal>2012/2012</temporal><identifier>USDA-FSA-00013</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>brad.karmen@usda.gov</emailAddress><fn>Brad Karmen</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/drought_secretarial_desig_12.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Crop Year 2012 Drought Specific Disaster Designations Map</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Crop Year 2012 Listing of Disaster Designated Counties</title><description>Download a list of crop year 2012 designated Primary and Contiguous Counties in PDF File Format.</description><accessLevel>public</accessLevel><modified>2014-04-04</modified><temporal>2012/2012</temporal><identifier>USDA-FSA-00016</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>brad.karmen@usda.gov</emailAddress><fn>Brad Karmen</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/fast_trk_primary_contig_cos.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Crop Year 2012 Listing of Disaster Designated Counties</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Crop Year 2012 Listing of Drought-specific Disaster Designated Counties</title><description>Download a list of crop year 2012 drought-specific designated Primary and Contiguous Counties in PDF File Format.</description><accessLevel>public</accessLevel><modified>2014-02-13</modified><temporal>2012/2012</temporal><identifier>USDA-FSA-00019</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>brad.karmen@usda.gov</emailAddress><fn>Brad Karmen</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/drought_disaster_cty_list.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Crop Year 2012 Listing of Drought-specific Disaster Designated Counties</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Crop Year 2013 Disaster Declarations</title><description>Tabular records of State and County level records of crop year 2013 disaster designations made by the US Secretary of Agriculture.</description><accessLevel>public</accessLevel><modified>2014-04-24</modified><temporal>2013/2013</temporal><identifier>USDA-FSA-00006</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>brad.karmen@usda.gov</emailAddress><fn>Brad Karmen</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/disaster_cty_list_ytd.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Crop Year 2013 Disaster Declarations</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Crop Year 2013 Disaster Map</title><description>Crop year 2013 US map at the county level shows designations across the country under USDA's amended rule. The faster, more efficient process will immediately expand assistance to more than 1,000 counties in 26 states.</description><accessLevel>public</accessLevel><modified>2014-04-24</modified><temporal>2013/2013</temporal><identifier>USDA-FSA-00009</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>brad.karmen@usda.gov</emailAddress><fn>Brad Karmen</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/disaster_map_cropyr_2013.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Crop Year 2013 Disaster Map</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Crop Year 2013 Drought Specific Disaster Designations Map</title><description>Crop year 2013 US map at the county level shows drought-specific disaster designations across the country under USDA's amended rule.</description><accessLevel>public</accessLevel><modified>2014-04-24</modified><temporal>2013/2013</temporal><identifier>USDA-FSA-00012</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>brad.karmen@usda.gov</emailAddress><fn>Brad Karmen</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/drought_secretarial_desig_13.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Crop Year 2013 Drought Specific Disaster Designations Map</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Crop Year 2013 Listing of Disaster Designated Counties</title><description>Download a list of crop year 2013 designated Primary and Contiguous Counties in PDF File Format.</description><accessLevel>public</accessLevel><modified>2014-04-24</modified><temporal>2013/2013</temporal><identifier>USDA-FSA-00015</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>brad.karmen@usda.gov</emailAddress><fn>Brad Karmen</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/fast_trk_prim_contig_cos_13.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Crop Year 2013 Listing of Disaster Designated Counties</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Crop Year 2013 Listing of Drought-specific Disaster Designated Counties</title><description>Download a list of crop year 2013 drought-specific designated Primary and Contiguous Counties in PDF File Format.</description><accessLevel>public</accessLevel><modified>2014-04-24</modified><temporal>2013/2013</temporal><identifier>USDA-FSA-00018</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>brad.karmen@usda.gov</emailAddress><fn>Brad Karmen</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/drought_disaster_cty_list13.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Crop Year 2013 Listing of Drought-specific Disaster Designated Counties</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Crop Year 2014 Disaster Declarations</title><description>Tabular records of State and County level records of crop year 2014 disaster designations made by the US Secretary of Agriculture.</description><accessLevel>public</accessLevel><modified>2014-04-24</modified><temporal>2014/2014</temporal><identifier>USDA-FSA-00005</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>brad.karmen@usda.gov</emailAddress><fn>Brad Karmen</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/disaster_cty_list_ytd_14.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Crop Year 2014 Disaster Declarations</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Crop Year 2014 Disaster Map</title><description>Crop year 2014 US map at the county level shows designations across the country under USDA's amended rule. The faster, more efficient process will immediately expand assistance to more than 1,000 counties in 26 states.</description><accessLevel>public</accessLevel><modified>2014-04-24</modified><temporal>2014/2014</temporal><identifier>USDA-FSA-00008</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>brad.karmen@usda.gov</emailAddress><fn>Brad Karmen</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/disaster_map_cropyr_14.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Crop Year 2014 Disaster Map</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Crop Year 2014 Drought Specific Disaster Designations Map</title><description>Crop year 2014 US map at the county level shows drought-specific disaster designations across the country under USDA's amended rule.</description><accessLevel>public</accessLevel><modified>2014-04-24</modified><temporal>2014/2014</temporal><identifier>USDA-FSA-00011</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>brad.karmen@usda.gov</emailAddress><fn>Brad Karmen</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/drought_secretarial_desig_14.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Crop Year 2014 Drought Specific Disaster Designations Map</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Crop Year 2014 Listing of Disaster Designated Counties</title><description>Download a list of crop year 2014 designated Primary and Contiguous Counties in PDF File Format.</description><accessLevel>public</accessLevel><modified>2014-04-24</modified><temporal>2014/2014</temporal><identifier>USDA-FSA-00014</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>brad.karmen@usda.gov</emailAddress><fn>Brad Karmen</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/fast_trk_prim_contig_cos_14.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Crop Year 2014 Listing of Disaster Designated Counties</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Crop Year 2014 Listing of Drought-specific Disaster Designated Counties</title><description>Download a list of crop year 2014 drought-specific designated Primary and Contiguous Counties in PDF File Format.</description><accessLevel>public</accessLevel><modified>2014-04-24</modified><temporal>2014/2014</temporal><identifier>USDA-FSA-00017</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>brad.karmen@usda.gov</emailAddress><fn>Brad Karmen</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/drought_disaster_cty_list14.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Crop Year 2014 Listing of Drought-specific Disaster Designated Counties</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Disaster Declarations USDA</title><description>State- and county-level records of disaster designations made by the US Secretary of Agriculture in response to widespread and severe drought.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1W</accrualPeriodicity><issued>2012-09-13</issued><modified>2014-02-27</modified><spatial>United States</spatial><identifier>USDA-9261</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jeff.kerby@wdc.usda.gov</emailAddress><fn>Jeff Kerby</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://disaster.fsa.usda.gov</references><distribution><downloadURL>http://www.fsa.usda.gov/programs-and-services/disaster-assistance-program/index</downloadURL><mediaType>text/html</mediaType><title>links to PDF Files</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Emergency Assistance for Livestock, Honey Bees, and Farm-raised Fish</title><description>Provides Emergency relief to producers of livestock, honey bees, and farm-raised fish. Covers losses from disaster such as adverse weather or other conditions, such as blizzards and wildfires not adequately covered by any other disaster program.</description><accessLevel>public</accessLevel><modified>2014-04-25</modified><identifier>USDA-FSA-00025</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>askfsa@usda.gov</emailAddress><fn>Website Administrator</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><distribution><downloadURL>http://www.fsa.usda.gov/programs-and-services/disaster-assistance-program/emergency-assist-for-livestock-honey-bees-fish/index</downloadURL><mediaType>text/html</mediaType><title>Emergency Assistance for Livestock, Honey Bees, and Farm-raised Fish</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Emergency Conservation Program for Agricultural Producers</title><description>The U.S. Department of Agriculture (USDA) Farm Service Agency’s (FSA) Emergency Conservation Program (ECP) provides emergency funding and technical assistance to farmers and ranchers to rehabilitate farmland damaged by natural disasters and for implementing emergency water conservation measures in periods of severe drought. Funding for ECP is appropriated by Congress. ECP may be available in areas without regard to a Presidential or Secretarial emergency disaster designation.</description><accessLevel>public</accessLevel><modified>2014-04-25</modified><identifier>USDA-FSA-00001</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>askfsa@usda.gov</emailAddress><fn>Website Administrator</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:019</programCode><distribution><description>The U.S. Department of Agriculture (USDA) Farm Service Agency’s (FSA) Emergency Conservation Program (ECP) provides emergency funding and technical assistance to farmers and ranchers to rehabilitate farmland damaged by natural disasters and for implementing emergency water conservation measures in periods of severe drought. Funding for ECP is appropriated by Congress. ECP may be available in areas without regard to a Presidential or Secretarial emergency disaster designation.</description><downloadURL>http://www.fsa.usda.gov/programs-and-services/conservation-programs/emergency-conservation/index</downloadURL><mediaType>text/html</mediaType><title>Emergency Conservation Program for Agricultural Producers</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Emergency Forest Restoration Program</title><description>The Emergency Forest Restoration Program (EFRP) helps the owners of non-industrial private forests restore forest health damaged by natural disasters. The EFRP does this by authorizing payments to owners of private forests to restore disaster damaged forests. The local FSA County Committee implements ERFP for all disasters with the exceptions of drought and insect infestations. In the case of drought or an insect infestation, the national FSA office authorizes ERFP implementation.</description><accessLevel>public</accessLevel><modified>2014-04-25</modified><identifier>USDA-FSA-00022</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>askfsa@usda.gov</emailAddress><fn>Website Administrator</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:020</programCode><distribution><downloadURL>http://www.fsa.usda.gov/programs-and-services/disaster-assistance-program/emergency-forest-restoration/index</downloadURL><mediaType>text/html</mediaType><title>Emergency Forest Restoration Program</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Emergency Haying and Grazing of Conservation Reserve Program</title><description>Emergency haying and grazing of CRP acreage may be authorized to provide relief to livestock producers in areas affected by a severe drought or similar natural disaster. Emergency authorization is provided by either a national FSA office authorization or by a state FSA committee determination utilizing the U.S. Drought Monitor.</description><accessLevel>public</accessLevel><modified>2014-04-25</modified><identifier>USDA-FSA-00027</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>askfsa@usda.gov</emailAddress><fn>Website Administrator</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:014</programCode><distribution><downloadURL>http://www.fsa.usda.gov/programs-and-services/conservation-programs/conservation-reserve-program/emergency-haying-and-grazing/index</downloadURL><mediaType>text/html</mediaType><title>Emergency Haying and Grazing of Conservation Reserve Program</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Farm Emergency Loans</title><description>"The U.S. Department of Agriculture's (USDA) Farm Service Agency (FSA) provides emergency loans to help farmers and ranchers who own or operate a farm/ranch located in a county declared by the President or designated by the Secretary of Agriculture as a primary disaster area or quarantine area.&#13;
&#13;
Emergency loan funds may be used to:&#13;
Restore or replace essential property&#13;
Pay all or part of production costs associated with the disaster year&#13;
Pay essential family living expenses&#13;
Reorganize the farming operation&#13;
Refinance certain debts, excluding real estate&#13;
&#13;
Loan applicants may borrow up to 100 percent of their total actual production and/or physical losses. The maximum loan amount is $500,000.&#13;
&#13;
Loans for crops, livestock, and non-real estate losses have a repayment term usually between 1 to 7 years depending upon the loan purpose, collateral, and repayment ability. Loans for physical losses to real estate normally have a 30-year repayment term, not to exceed 40 years."</description><accessLevel>public</accessLevel><modified>2014-04-25</modified><identifier>USDA-FSA-00002</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>askfsa@usda.gov</emailAddress><fn>Website Administrator</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:012</programCode><distribution><downloadURL>http://www.fsa.usda.gov/programs-and-services/farm-loan-programs/emergency-farm-loans/index</downloadURL><mediaType>text/html</mediaType><title>Farm Emergency Loans</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Farm Loans Disaster Set-Aside Program</title><description>When Farm Service Agency (FSA) borrowers located in designated disaster areas or contiguous (adjoining) counties are unable to make their scheduled payment on any FSA debt, FSA is authorized to consider set-aside of one payment to allow the operation to continue. This program is authorized under Section 331A of the Consolidated Farm and Rural Development Act. Assistance is available in counties, or contiguous counties, who have been designated as emergencies by the President, Secretary or FSA Administrator.</description><accessLevel>public</accessLevel><modified>2014-04-25</modified><identifier>USDA-FSA-00020</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>askfsa@usda.gov</emailAddress><fn>Website Administrator</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:012</programCode><distribution><downloadURL>http://www.fsa.usda.gov/FSA/newsReleases?area=newsroom&amp;subject=landing&amp;topic=pfs&amp;newstype=prfactsheet&amp;type=detail&amp;item=pf_20110930_distr_en_debtsa.html</downloadURL><mediaType>text/html</mediaType><title>Farm Loans Disaster Set-Aside Program</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Farm Operating Loans (Direct and Guaranteed)</title><description>"The Farm Service Agency (FSA) offers farm operating loans to farmers who are temporarily unable to obtain private, commercial credit at reasonable rates and terms. Operating loans are used to purchase items such as livestock and feed, machinery and equipment, fuel, farm chemicals, and insurance; pay family living expenses and general farm operating expenses; and make minor improvements or repairs to buildings and fencing.&#13;
&#13;
Both guaranteed loans and direct loans are available through this program. FSA guaranteed loans provide lenders (e.g., banks, Farm Credit System institutions, credit unions) with a guarantee of up to 95 percent of the loss of principal and interest on a loan. The maximum FSA guaranteed operating loan is $1,302,000 (adjusted annually based on inflation).&#13;
&#13;
Applicants unable to qualify for a guaranteed loan may be eligible for a direct loan from FSA. Direct loans are made and serviced by FSA officials, who also provide borrowers with supervision and credit counseling. The maximum amount for a direct farm operating loan is $300,000.&#13;
&#13;
FSA also provides Microloans, which are direct operating loans designed to meet the unique financial operating needs of many socially disadvantaged and beginning farmers, niche farm operations, the smallest of family farm operations, and those serving local and regional food markets, including urban farmers. The maximum loan amount for a Microloan is $35,000.&#13;
&#13;
The repayment terms vary according to the type of loan made, collateral securing the loan, and the applicant's ability to repay. Term operating loans are normally repaid within 7 years and annual operating loans are generally repaid within 12 months or when the commodities produced are sold."</description><accessLevel>public</accessLevel><modified>2014-04-25</modified><identifier>USDA-FSA-00003</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>askfsa@usda.gov</emailAddress><fn>Website Administrator</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:012</programCode><distribution><downloadURL>http://www.fsa.usda.gov/programs-and-services/farm-loan-programs/farm-operating-loans/index</downloadURL><mediaType>text/html</mediaType><title>Farm Operating Loans (Direct and Guaranteed)</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Farm Ownership Loans (Direct and Guaranteed)</title><description>"The Farm Service Agency (FSA) makes farm ownership loans to farmers and ranchers who are temporarily unable to obtain private, commercial credit at reasonable rates and terms. Farm ownership loans are used to purchase farmland, construct and repair buildings, and make farm improvements.&#13;
&#13;
Both guaranteed and direct loans are available through this program. FSA guaranteed loans provide lenders (e.g., banks, Farm Credit System institutions, credit unions) with a guarantee of up to 95 percent of the loss of principal and interest on a loan. The maximum FSA guaranteed farm ownership loan is $1,302 ,000 (adjusted annually based on inflation). Your lender can tell you if a guarantee is the right loan for you.&#13;
&#13;
Applicants who are unable to qualify for a guaranteed loan may be eligible for a direct loan from FSA. Direct loans are made and serviced by FSA officials using government funds. FSA provides direct loan customers with supervision and credit counseling so that they have a greater chance to be successful. The maximum direct farm ownership loan is $300,000."</description><accessLevel>public</accessLevel><modified>2014-04-25</modified><identifier>USDA-FSA-00004</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>askfsa@usda.gov</emailAddress><fn>Website Administrator</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:012</programCode><distribution><downloadURL>http://www.fsa.usda.gov/programs-and-services/farm-loan-programs/farm-ownership-loans/index</downloadURL><mediaType>text/html</mediaType><title>Farm Ownership Loans (Direct and Guaranteed)</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Farm Programs Payments</title><description>Payments made by the Department of Agriculture, Farm Service Agency to US agricultural producers participating in Farm Bill programs including commodity, price support, disaster assistance and conservation. Payments may be searched by payee, program, year, commodity, state, county, farm, payment date and amount paid.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P3M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/FSA/webapp?area=newsroom&amp;subject=landing&amp;topic=foi-er-fri</describedBy><issued>2010-09-17</issued><modified>2014-02-27</modified><spatial>United States</spatial><identifier>USDA-4224</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>sueellen.sloca@wdc.usda.gov</emailAddress><fn>Sue Ellen Sloca</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/FSA/webapp?area=newsroom&amp;subject=landing&amp;topic=foi-er-fri</references><distribution><downloadURL>http://www.fsa.usda.gov/FSA/webapp?area=newsroom&amp;subject=landing&amp;topic=foi-er-fri-pfi</downloadURL><mediaType>text/html</mediaType><title>Text File</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Farm Service Agency Emergency Designation News Releases</title><description>Feed of news releases from the US Department of Agriculture, Farm Service Agency.</description><accessLevel>public</accessLevel><accrualPeriodicity>irregular</accrualPeriodicity><modified>2014-02-27</modified><spatial>United States</spatial><identifier>USDA-4385</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jeff.kerby@one.usda.gov</emailAddress><fn>Jeff Kerby</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/FSA/rss?area=newsroom&amp;subject=landing&amp;topic=rss</references><distribution><downloadURL>http://www.fsa.usda.gov/FSA/createRSS?newstype=ednewsrel</downloadURL><mediaType>application/xml</mediaType><title>XML File</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Farm Service Agency Market News Widget</title><description>This Widget provides access to all FSA Daily Terminal Market Prices information releases. The widget may be embedded into your website or blog with code provided using either Flash or Javascript.</description><accessLevel>public</accessLevel><accrualPeriodicity>irregular</accrualPeriodicity><issued>2010-12-16</issued><modified>2014-02-27</modified><spatial>United States</spatial><identifier>USDA-4388</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jeff.kerby@wdc.usda.gov</emailAddress><fn>Jeff Kerby</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/FSA/webapp?area=newsroom&amp;subject=landing&amp;topic=wid</references><distribution><downloadURL>http://www.fsa.usda.gov/FSA/webapp?area=newsroom&amp;subject=landing&amp;topic=wid</downloadURL><mediaType>text/html</mediaType><title>XML File</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Farm Service Agency News Releases</title><description>Feed of news releases from the US Department of Agriculture, Farm Service Agency.</description><accessLevel>public</accessLevel><accrualPeriodicity>irregular</accrualPeriodicity><modified>2014-02-27</modified><spatial>United States</spatial><identifier>USDA-4384</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jeff.kerby@one.usda.gov</emailAddress><fn>Jeff Kerby</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/FSA/rss?area=newsroom&amp;subject=landing&amp;topic=rss</references><distribution><downloadURL>http://www.fsa.usda.gov/FSA/createRSS?newstype=newsrel</downloadURL><mediaType>application/xml</mediaType><title>XML File</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Farm Service Agency News and Events Widget</title><description>This Widget provides access to all FSA National News releases. The widget may be embedded into your website or blog with code provided using either Flash or Javascript.</description><accessLevel>public</accessLevel><accrualPeriodicity>irregular</accrualPeriodicity><issued>2010-12-16</issued><modified>2014-02-27</modified><spatial>United States</spatial><identifier>USDA-4387</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jeff.kerby@wdc.usda.gov</emailAddress><fn>Jeff Kerby</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/FSA/webapp?area=newsroom&amp;subject=landing&amp;topic=wid</references><distribution><downloadURL>http://www.fsa.usda.gov/FSA/webapp?area=newsroom&amp;subject=landing&amp;topic=wid</downloadURL><mediaType>text/html</mediaType><title>XML File</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Farm Service Agency Notices</title><description>Feed of administrative notices published by the US Department of Agriculture, Farm Service Agency.</description><accessLevel>public</accessLevel><accrualPeriodicity>irregular</accrualPeriodicity><modified>2014-02-27</modified><spatial>United States</spatial><identifier>USDA-4386</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jeff.kerby@one.usda.gov</emailAddress><fn>Jeff Kerby</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/FSA/rss?area=newsroom&amp;subject=landing&amp;topic=rss</references><distribution><downloadURL>http://www.fsa.usda.gov/FSA/createRSS?newstype=notices</downloadURL><mediaType>application/xml</mediaType><title>XML File</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Farm Service Agency State News Widget</title><description>This Widget provides access to all FSA State National News releases. The widget may be embedded into your website or blog with code provided using either Flash or Javascript.</description><accessLevel>public</accessLevel><accrualPeriodicity>irregular</accrualPeriodicity><issued>2010-12-16</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States</spatial><identifier>USDA-4389</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>jeff.kerby@wdc.usda.gov</emailAddress><fn>Jeff Kerby</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/FSA/webapp?area=newsroom&amp;subject=landing&amp;topic=wid</references><distribution><downloadURL>http://www.fsa.usda.gov/FSA/webapp?area=newsroom&amp;subject=landing&amp;topic=wid</downloadURL><mediaType>text/html</mediaType><title>XML File</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Livestock Forage Disaster Program</title><description>The 2014 Farm Bill makes the Livestock Forage Disaster Program (LFP) a permanent program and provides retroactive authority to cover eligible losses back to Oct. 1, 2011. LFP provides compensation to eligible livestock producers who have suffered grazing losses due to drought or fire. LFP payments for drought are equal to 60 percent of the monthly feed cost for up to five months. LFP payments for fire on federally managed rangeland are equal to 50 percent of the monthly feed cost for the number of days the producer is prohibited from grazing the managed rangeland, not to exceed 180 calendar days. The grazing losses must have occurred on or after Oct. 1, 2011. Sign-up will begin on or before April 15, 2014, at any local Farm Service Agency (FSA) service center. Additional details on the types of information required for an application will be provided as part of the sign-up announcement. Some eligibility restrictions may apply. Please consult your local FSA office for details.</description><accessLevel>public</accessLevel><modified>2014-04-25</modified><identifier>USDA-FSA-00024</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>askfsa@usda.gov</emailAddress><fn>Website Administrator</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><distribution><downloadURL>http://www.fsa.usda.gov/programs-and-services/disaster-assistance-program/livestock-forage/index</downloadURL><mediaType>text/html</mediaType><title>Livestock Forage Disaster Program</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Livestock Forage Disaster Program Eligibility Maps</title><description>These maps depict the Livestock Forage Disaster Program eligibility by county for the US and Puerto Rico from 2008 to the present, based on grazing periods, drought intensity, and forage types.</description><accessLevel>public</accessLevel><modified>2014-04-25</modified><temporal>2008/2014</temporal><identifier>USDA-FSA-00023</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>askfsa@usda.gov</emailAddress><fn>Website Administrator</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><distribution><downloadURL>http://www.fsa.usda.gov/programs-and-services/disaster-assistance-program/livestock-forage/index</downloadURL><mediaType>text/html</mediaType><title>Livestock Forage Disaster Program Eligibility Maps</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Livestock Indemnity Program</title><description>The 2014 Farm Bill makes the Livestock Indemnity Payments (LIP) a permanent program and provides retroactive authority to cover eligible livestock losses back to Oct. 1, 2011. LIP provides compensation to eligible livestock producers who have suffered livestock death losses in excess of normal mortality due to adverse weather and attacks by animals reintroduced into the wild by the federal government or protected by federal law, including wolves and avian predators. LIP payments are equal to 75 percent of the market value of the applicable livestock on the day before the date of death of the livestock as determined by the Secretary.</description><accessLevel>public</accessLevel><modified>2014-04-25</modified><identifier>USDA-FSA-00026</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>askfsa@usda.gov</emailAddress><fn>Website Administrator</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><distribution><downloadURL>http://www.fsa.usda.gov/programs-and-services/disaster-assistance-program/livestock-indemnity/index</downloadURL><mediaType>text/html</mediaType><title>Livestock Indemnity Program</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Noninsured Crop Disaster Assistance Program</title><description>USDA's Farm Service Agency's (FSA) Noninsured Crop Disaster Assistance Program (NAP) provides financial assistance to producers of noninsurable crops when low yields, loss of inventory or prevented planting occur due to a natural disaster.</description><accessLevel>public</accessLevel><modified>2014-04-25</modified><identifier>USDA-FSA-00021</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>askfsa@usda.gov</emailAddress><fn>Website Administrator</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:021</programCode><distribution><downloadURL>http://www.fsa.usda.gov/programs-and-services/disaster-assistance-program/noninsured-crop-disaster-assistance/index</downloadURL><mediaType>text/html</mediaType><title>Noninsured Crop Disaster Assistance Program</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Historical Deliveries by Package Size</title><description>Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities delivered by package size on a monthly basis. Package sizes include "Packages &lt; 50 lbs", "Packages 50 lbs and Greater", and "Unpackaged (Bulk)"</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/Internet/FSA_File/sugar_glossary.pdf</describedBy><issued>2005-08-03</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>1991-10-01/2009-12-31</temporal><identifier>USDA-4041</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/Internet/FSA_File/sugar_data_user_manual.pdf, http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=ecpa&amp;topic=dsa</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/hist_sugdapac.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Historical Deliveries by Use - All Other Uses</title><description>Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities delivered by use for "All Other Uses" on a monthly basis. Quantities are reported by region. Regions include: "New England", "Mid Atlantic", "North Central", "South", "West" and "Puerto Rico".</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/Internet/FSA_File/sugar_glossary.pdf</describedBy><issued>2005-01-27</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>1991-10-01/2009-12-31</temporal><identifier>USDA-4053</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/Internet/FSA_File/sugar_data_user_manual.pdf, http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=ecpa&amp;topic=dsa</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/hist_deltyp12.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Historical Deliveries by Use - Bakery</title><description>Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities delivered by use for "Bakery, Cereal and Related Products" on a monthly basis. Quantities are reported by region. Regions include: "New England", "Mid Atlantic", "North Central", "South", "West" and "Puerto Rico".</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/Internet/FSA_File/sugar_glossary.pdf</describedBy><issued>2010-04-12</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>1991-10-01/2009-12-31</temporal><identifier>USDA-4042</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/Internet/FSA_File/sugar_data_user_manual.pdf, http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=ecpa&amp;topic=dsa</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/hist_deltyp1.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Historical Deliveries by Use - Beverages</title><description>Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities delivered by use for "Beverages" on a monthly basis. Quantities are reported by region. Regions include: "New England", "Mid Atlantic", "North Central", "South", "West" and "Puerto Rico".</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/Internet/FSA_File/sugar_glossary.pdf</describedBy><issued>2005-01-25</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>1991-10-01/2009-12-31</temporal><identifier>USDA-4045</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/Internet/FSA_File/sugar_data_user_manual.pdf, http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=ecpa&amp;topic=dsa</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/hist_deltyp4.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Historical Deliveries by Use - Canned</title><description>Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities delivered by use for "Canned, Bottled and Frozen Foods" on a monthly basis. Quantities are reported by region. Regions include: "New England", "Mid Atlantic", "North Central", "South", "West" and "Puerto Rico".</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/Internet/FSA_File/sugar_glossary.pdf</describedBy><issued>2010-04-12</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>1991-10-01/2009-12-31</temporal><identifier>USDA-4046</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/Internet/FSA_File/sugar_data_user_manual.pdf, http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=ecpa&amp;topic=dsa</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/hist_deltyp5.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Historical Deliveries by Use - Confectionery</title><description>Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities delivered by use for "Confectionery and Related Products" on a monthly basis. Quantities are reported by region. Regions include: "New England", "Mid Atlantic", "North Central", "South", "West" and "Puerto Rico".</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/Internet/FSA_File/sugar_glossary.pdf</describedBy><issued>2010-04-12</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>1991-10-01/2009-12-31</temporal><identifier>USDA-4043</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/Internet/FSA_File/sugar_data_user_manual.pdf, http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=ecpa&amp;topic=dsa</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/hist_deltyp2.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Historical Deliveries by Use - Government</title><description>Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities delivered by use for "Government Agencies" on a monthly basis. Quantities are reported by region. Regions include: "New England", "Mid Atlantic", "North Central", "South", "West" and "Puerto Rico".</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/Internet/FSA_File/sugar_glossary.pdf</describedBy><issued>2005-01-27</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>1991-10-01/2009-12-31</temporal><identifier>USDA-4052</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/Internet/FSA_File/sugar_data_user_manual.pdf, http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=ecpa&amp;topic=dsa</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/hist_deltyp11.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Historical Deliveries by Use - Hotels</title><description>Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities delivered by use for "Hotels, Restaurants and Institutions" on a monthly basis. Quantities are reported by region. Regions include: "New England", "Mid Atlantic", "North Central", "South", "West" and "Puerto Rico".</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/Internet/FSA_File/sugar_glossary.pdf</describedBy><issued>2005-01-16</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>1991-10-01/2009-12-31</temporal><identifier>USDA-4049</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/Internet/FSA_File/sugar_data_user_manual.pdf, http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=ecpa&amp;topic=dsa</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/hist_deltyp8.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Historical Deliveries by Use - Ice Cream</title><description>Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities delivered by use for "Ice Cream and Dairy Products" on a monthly basis. Quantities are reported by region. Regions include: "New England", "Mid Atlantic", "North Central", "South", "West" and "Puerto Rico".</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/Internet/FSA_File/sugar_glossary.pdf</describedBy><issued>2005-01-04</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>1991-10-01/2009-12-31</temporal><identifier>USDA-4044</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/Internet/FSA_File/sugar_data_user_manual.pdf, http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=ecpa&amp;topic=dsa</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/hist_deltyp3.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Historical Deliveries by Use - Mid Atlantic</title><description>Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities delivered by use in the Mid Atlantic region on a monthly basis. Uses include "Bakery, Cereal and Related Products"; "Confectionery and Related Products"; "Ice Cream and Related Products"; "Beverages"; "Canned, Bottled and Frozen Foods"; "Multiple and All Other Food Uses", "Non-Food Uses", "Hotels, Restaurants and Institutions"; "Wholesale Grocers, Jobbers and Dealers", "Retail Grocers and Chain Stores", "Deliveries to Government Agencies", and "All Other Deliveries".</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/Internet/FSA_File/sugar_glossary.pdf</describedBy><issued>2005-08-03</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>1991-10-01/2009-12-31</temporal><identifier>USDA-4037</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/Internet/FSA_File/sugar_data_user_manual.pdf, http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=ecpa&amp;topic=dsa</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/hist_sugdama.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Historical Deliveries by Use - Multiple</title><description>Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities delivered by use for "Multiple and All Other Food Uses" on a monthly basis. Quantities are reported by region. Regions include: "New England", "Mid Atlantic", "North Central", "South", "West" and "Puerto Rico".</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/Internet/FSA_File/sugar_glossary.pdf</describedBy><issued>2008-06-05</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>1991-10-01/2009-12-31</temporal><identifier>USDA-4047</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/Internet/FSA_File/sugar_data_user_manual.pdf, http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=ecpa&amp;topic=dsa</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/hist_deltyp6.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Historical Deliveries by Use - New England</title><description>Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities delivered by use in the New England region on a monthly basis. Uses include "Bakery, Cereal and Related Products"; "Confectionery and Related Products"; "Ice Cream and Related Products"; "Beverages"; "Canned, Bottled and Frozen Foods"; "Multiple and All Other Food Uses", "Non-Food Uses", "Hotels, Restaurants and Institutions"; "Wholesale Grocers, Jobbers and Dealers", "Retail Grocers and Chain Stores", "Deliveries to Government Agencies", and "All Other Deliveries".</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/Internet/FSA_File/sugar_glossary.pdf</describedBy><issued>2005-08-03</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>1991-10-01/2009-12-31</temporal><identifier>USDA-2636</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/Internet/FSA_File/sugar_data_user_manual.pdf, http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=ecpa&amp;topic=dsa</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/hist_sugdane.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Historical Deliveries by Use - Non-Food</title><description>Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities delivered by use for "Non-Food Uses" on a monthly basis. Quantities are reported by region. Regions include: "New England", "Mid Atlantic", "North Central", "South", "West" and "Puerto Rico".</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/Internet/FSA_File/sugar_glossary.pdf</describedBy><issued>2008-10-02</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>1991-10-01/2009-12-31</temporal><identifier>USDA-4048</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/Internet/FSA_File/sugar_data_user_manual.pdf, http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=ecpa&amp;topic=dsa</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/hist_deltyp7.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Historical Deliveries by Use - North Central</title><description>Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities delivered by use in the North Central region on a monthly basis. Uses include "Bakery, Cereal and Related Products"; "Confectionery and Related Products"; "Ice Cream and Related Products"; "Beverages"; "Canned, Bottled and Frozen Foods"; "Multiple and All Other Food Uses", "Non-Food Uses", "Hotels, Restaurants and Institutions"; "Wholesale Grocers, Jobbers and Dealers", "Retail Grocers and Chain Stores", "Deliveries to Government Agencies", and "All Other Deliveries".</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/Internet/FSA_File/sugar_glossary.pdf</describedBy><issued>2005-08-03</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>1991-10-01/2009-12-31</temporal><identifier>USDA-4038</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/Internet/FSA_File/sugar_data_user_manual.pdf, http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=ecpa&amp;topic=dsa</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/hist_sugdanc.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Historical Deliveries by Use - Puerto Rico</title><description>Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities delivered by use in Puerto Rico on a monthly basis. Uses include "Bakery, Cereal and Related Products"; "Confectionery and Related Products"; "Ice Cream and Related Products"; "Beverages"; "Canned, Bottled and Frozen Foods"; "Multiple and All Other Food Uses", "Non-Food Uses", "Hotels, Restaurants and Institutions"; "Wholesale Grocers, Jobbers and Dealers", "Retail Grocers and Chain Stores", "Deliveries to Government Agencies", and "All Other Deliveries".</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/Internet/FSA_File/sugar_glossary.pdf</describedBy><issued>2005-08-03</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>1991-10-01/2009-12-31</temporal><identifier>USDA-4040</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/Internet/FSA_File/sugar_data_user_manual.pdf, http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=ecpa&amp;topic=dsa</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/hist_sugdapr.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Historical Deliveries by Use - Retail</title><description>Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities delivered by use for "Retail Grocers and Chain Stores" on a monthly basis. Quantities are reported by region. Regions include: "New England", "Mid Atlantic", "North Central", "South", "West" and "Puerto Rico".</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/Internet/FSA_File/sugar_glossary.pdf</describedBy><issued>2005-01-27</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>1991-10-01/2009-12-31</temporal><identifier>USDA-4051</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/Internet/FSA_File/sugar_data_user_manual.pdf, http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=ecpa&amp;topic=dsa</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/hist_deltyp10.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Historical Deliveries by Use - South</title><description>Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities delivered by use in the South region on a monthly basis. Uses include "Bakery, Cereal and Related Products"; "Confectionery and Related Products"; "Ice Cream and Related Products"; "Beverages"; "Canned, Bottled and Frozen Foods"; "Multiple and All Other Food Uses", "Non-Food Uses", "Hotels, Restaurants and Institutions"; "Wholesale Grocers, Jobbers and Dealers", "Retail Grocers and Chain Stores", "Deliveries to Government Agencies", and "All Other Deliveries".</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/Internet/FSA_File/sugar_glossary.pdf</describedBy><issued>2005-08-03</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>1991-10-01/2009-12-31</temporal><identifier>USDA-4039</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/Internet/FSA_File/sugar_data_user_manual.pdf, http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=ecpa&amp;topic=dsa</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/hist_sugdaso.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Historical Deliveries by Use - West</title><description>Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities delivered by use in the West region on a monthly basis. Uses include "Bakery, Cereal and Related Products"; "Confectionery and Related Products"; "Ice Cream and Related Products"; "Beverages"; "Canned, Bottled and Frozen Foods"; "Multiple and All Other Food Uses", "Non-Food Uses", "Hotels, Restaurants and Institutions"; "Wholesale Grocers, Jobbers and Dealers", "Retail Grocers and Chain Stores", "Deliveries to Government Agencies", and "All Other Deliveries".</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/Internet/FSA_File/sugar_glossary.pdf</describedBy><issued>2005-08-03</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>1991-10-01/2009-12-31</temporal><identifier>USDA-3967</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/Internet/FSA_File/sugar_data_user_manual.pdf, http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=ecpa&amp;topic=dsa</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/hist_sugdawe.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Historical Deliveries by Use - Wholesale</title><description>Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities delivered by use for "Wholesale Grocers, Jobbers and Sugar Dealers" on a monthly basis. Quantities are reported by region. Regions include: "New England", "Mid Atlantic", "North Central", "South", "West" and "Puerto Rico".</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/Internet/FSA_File/sugar_glossary.pdf</describedBy><issued>2010-04-12</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>1991-10-01/2009-12-31</temporal><identifier>USDA-4050</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/Internet/FSA_File/sugar_data_user_manual.pdf, http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=ecpa&amp;topic=dsa</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/hist_deltyp9.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Historical Imports and Exports</title><description>Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities of imports and exports on a monthly basis.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/Internet/FSA_File/sugar_glossary.pdf</describedBy><issued>2010-03-04</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>1991-10-01/2009-12-31</temporal><identifier>USDA-2624</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/Internet/FSA_File/sugar_data_user_manual.pdf, http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=ecpa&amp;topic=dsa</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/hist_imex.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Historical Production</title><description>Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities of production on a monthly basis.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/Internet/FSA_File/sugar_glossary.pdf</describedBy><issued>2010-03-29</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>1991-10-01/2009-09-30</temporal><identifier>USDA-2623</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/Internet/FSA_File/sugar_data_user_manual.pdf, http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=ecpa&amp;topic=dsa</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/hist_prod.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Historical Sales</title><description>Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities of sales by type of processor on a monthly basis.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/Internet/FSA_File/sugar_glossary.pdf</describedBy><issued>2010-04-04</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>1991-10-01/2009-12-31</temporal><identifier>USDA-2625</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/Internet/FSA_File/sugar_data_user_manual.pdf, http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=ecpa&amp;topic=dsa</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/hist_sales.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Historical Stocks</title><description>Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities of stocks on a monthly basis.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/Internet/FSA_File/sugar_glossary.pdf</describedBy><issued>2010-03-04</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>1991-10-01/2009-12-31</temporal><identifier>USDA-2622</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/Internet/FSA_File/sugar_data_user_manual.pdf, http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=ecpa&amp;topic=dsa</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/hist_stks.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Report FY 2002</title><description>Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities of stocks, production, imports, sales, and deliveries to FSA on a monthly basis.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/Internet/FSA_File/sugar_glossary.pdf</describedBy><issued>2007-04-11</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>2001-10-01/2002-09-30</temporal><identifier>USDA-2635</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/Internet/FSA_File/sugar_data_user_manual.pdf, http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=ecpa&amp;topic=dsa</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/sep_02_all_smd_tables.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Report FY 2003</title><description>Sweetener Market Data (SMD) report - beet and cane processors and cane refiners in the U.S. are required by the FAIR Act of 1996, as amended, to report data on physical quantities of stocks, production, imports, sales, and deliveries to FSA on a monthly basis.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><describedBy>http://www.fsa.usda.gov/Internet/FSA_File/sugar_glossary.pdf</describedBy><issued>2007-04-11</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>2002-10-01/2003-09-30</temporal><identifier>USDA-2634</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.rall@wdc.usda.gov</emailAddress><fn>Ed Rall</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/Internet/FSA_File/sugar_data_user_manual.pdf, http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=ecpa&amp;topic=dsa</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/sep_03_all_smd_tables.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Sweetener Market Data Report FY 2004</title><description>Sweetener Market Data (SMD) report - 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2009</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><issued>2010-04-14</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States</spatial><temporal>2009/2009</temporal><identifier>USDA-5035</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>patricia.barrett@wdc.usda.gov</emailAddress><fn>Patricia Barrett</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=coop&amp;topic=landing</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/2009_cancel_list.pdf</downloadURL><mediaType>application/pdf</mediaType><title>PDF File</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Warehouses Cancelled and/or Terminated in CY 2010</title><description>List of United States Warehouse Act warehouse licenses revoked, by commodity and state for calendar year 2010</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><issued>2011-03-31</issued><modified>2014-02-27</modified><spatial>United States</spatial><temporal>2010/2010</temporal><identifier>USDA-5034</identifier><publisher><name>Farm Service Agency, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>patricia.barrett@wdc.usda.gov</emailAddress><fn>Patricia Barrett</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:49</bureauCode><programCode>005:013</programCode><references>http://www.fsa.usda.gov/FSA/webapp?area=home&amp;subject=coop&amp;topic=landing</references><distribution><downloadURL>http://www.fsa.usda.gov/Internet/FSA_File/2010_cancel_list.pdf</downloadURL><mediaType>application/pdf</mediaType><title>PDF File</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>AWDB</title><description>Atmospheric &amp; Water Database available to public through National Water and Climate Center</description><accessLevel>restricted public</accessLevel><license>https://www.usa.gov/government-works</license><modified>2014-06-13</modified><identifier>NRCS0100</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>eva.mitter@wdc.usda.gov</emailAddress><fn>Eva Mitter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><distribution><description>Atmospheric &amp; Water Database available to public through National Water and Climate Center</description><downloadURL>http://www.wcc.nrcs.usda.gov/</downloadURL><mediaType>text/html</mediaType><title>AWDB</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>COMET-FARM</title><description>COMET-FARM is a whole farm and ranch carbon and greenhouse gas accounting system.</description><accessLevel>public</accessLevel><modified>2014-10-01</modified><rights>Public</rights><identifier>SDA-NIFA-RV-0006</identifier><publisher><name>Natural Resources Conservation Service, Colorado State University</name><type>org:Organization</type></publisher><contactPoint><emailAddress>mark.easter@colostate.edu</emailAddress><fn>Mark Easter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:037</programCode><distribution><description>COMET-FARM is a whole farm and ranch carbon and greenhouse gas accounting system.</description><downloadURL>http://cometfarm.nrel.colostate.edu/</downloadURL><mediaType>text/html</mediaType><title>COMET-FARM</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Conservation Effects Assessment Project (CEAP) Cropland Baseline Conservation Condition for Upper Mississippi River Basin</title><description>The dataset consists of estimates of erosion, sediment loss, soil organic carbon, nutrient loss, and pesticide loss from a statistically selected set of sample points within the Upper Mississippi River Basin. Results for the Baseline Conservation Condition are reported for the region as a whole and for each of the 14 subbasins within the region.</description><accessLevel>public</accessLevel><accrualPeriodicity>irregular</accrualPeriodicity><describedBy>http://www.nrcs.usda.gov/technical/nri/ceap/cropland.html</describedBy><issued>2010-06-16</issued><modified>2014-06-13</modified><spatial>Upper Mississippi River Basin (parts of 8 states)</spatial><temporal>2003/2006</temporal><identifier>NRCS0088</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>lnorfleet@brc.tamus.edu</emailAddress><fn>Lee Norfleet, USDA/NRCS, Temple, TX.</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><references>http://www.nrcs.usda.gov/technical/nri/ceap/cropland.html</references><distribution><description>The dataset consists of estimates of erosion, sediment loss, soil organic carbon, nutrient loss, and pesticide loss from a statistically selected set of sample points within the Upper Mississippi River Basin. Results for the Baseline Conservation Condition are reported for the region as a whole and for each of the 14.</description><downloadURL>ftp://ftp-fc.sc.egov.usda.gov/NHQ/nri/ceap/UMRB_subbasin_APEX_tables.xls</downloadURL><mediaType>text/html</mediaType><title>CEAP</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>ESD</title><description>Ecological Site Descriptions</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><modified>2014-06-13</modified><temporal>2013/2014</temporal><identifier>NRCS0017</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>eva.mitter@wdc.usda.gov</emailAddress><fn>Eva Mitter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><distribution><description>Ecological Site Descriptions</description><downloadURL>http://www.nrcs.usda.gov/wps/portal/nrcs/main/national/technical/ecoscience/desc/</downloadURL><mediaType>text/html</mediaType><title>ESD</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>EnergyCalc</title><description>Energy Calculators</description><accessLevel>public</accessLevel><modified>2014-06-13</modified><identifier>NRCS0016</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>eva.mitter@wdc.usda.gov</emailAddress><fn>Eva Mitter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><distribution><description>Energy Calculators</description><downloadURL>http://energytools.sc.egov.usda.gov/</downloadURL><mediaType>text/html</mediaType><title>EnergyCalc</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>GatewayCatalog</title><description>The Geospatial Data Gateway (GDG) is the One Stop Source for environmental and natural resources data, at anytime, from anywhere, to anyone.</description><accessLevel>restricted public</accessLevel><license>https://www.usa.gov/government-works</license><modified>2014-06-13</modified><identifier>NRCS0023</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>eva.mitter@wdc.usda.gov</emailAddress><fn>Eva Mitter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><distribution><description>The Geospatial Data Gateway (GDG) is the One Stop Source for environmental and natural resources data, at anytime, from anywhere, to anyone.</description><downloadURL>http://datagateway.nrcs.usda.gov/</downloadURL><mediaType>text/html</mediaType><title>GatewayCatalog</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>GatewayMetrics</title><description>Geospatial Data Layers available to public via Geospatial Gateway</description><accessLevel>restricted public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><license>https://www.usa.gov/government-works</license><modified>2014-06-13</modified><temporal>2013/2014</temporal><identifier>NRCS0024</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>eva.mitter@wdc.usda.gov</emailAddress><fn>Eva Mitter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><distribution><description>Geospatial Data Layers available to public via Geospatial Gateway</description><downloadURL>http://datagateway.nrcs.usda.gov/</downloadURL><mediaType>text/html</mediaType><title>GatewayMetrics</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>GatewayOrders</title><description>Geospatial Data Layers available to public via Geospatial Gateway</description><accessLevel>public</accessLevel><modified>2014-06-13</modified><identifier>NRCS0025</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>eva.mitter@wdc.usda.gov</emailAddress><fn>Eva Mitter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><distribution><description>Geospatial Data Layers available to public via Geospatial Gateway</description><downloadURL>http://datagateway.nrcs.usda.gov/</downloadURL><mediaType>text/html</mediaType><title>GatewayOrders</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Gridded Soil Survey Geographic (gSSURGO-10) Database for the Conterminous United States - 10 meter</title><description>This dataset is called the Gridded SSURGO (gSSURGO) Database and is derived from the Soil Survey Geographic (SSURGO) Database. SSURGO is generally the most detailed level of soil geographic data developed by the National Cooperative Soil Survey (NCSS) in accordance with NCSS mapping standards. The tabular data represent the soil attributes, and are derived from properties and characteristics stored in the National Soil Information System (NASIS). The gSSURGO data were prepared by merging traditional SSURGO digital vector map and tabular data into a Conterminous US-wide extent, and adding a Conterminous US-wide gridded map layer derived from the vector, plus a new value added look up (valu) table containing "ready to map" attributes. The gridded map layer is offered in an ArcGIS file geodatabase raster format. &#13;
&#13;
The raster and vector map data have a Conterminous US-wide extent. The raster map data have a 10 meter cell size that approximates the vector polygons in an Albers Equal Area projection. Each cell (and polygon) is linked to a map unit identifier called the map unit key. A unique map unit key is used to link to raster cells and polygons to attribute tables, including the new value added look up (valu) table that contains additional derived data.&#13;
&#13;
The value added look up (valu) table contains attribute data summarized to the map unit level using best practice generalization methods intended to meet the needs of most users. The generalization methods include map unit component weighted averages and percent of the map unit meeting a given criteria.&#13;
&#13;
The Gridded SSURGO dataset was created for use in national, regional, and state-wide resource planning and analysis of soils data. The raster map layer data can be readily combined with other national, regional, and local raster layers, e.g., National Land Cover Database (NLCD), the National Agricultural Statistics Service (NASS) Crop Data Layer, or the National Elevation Dataset (NED).</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><modified>2014-01-20</modified><identifier>NRCS0094</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>eva.mitter@wdc.usda.gov</emailAddress><fn>Eva Mitter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><distribution><description>Gridded Soil Survey Geographic (gSSURGO) Database for the Conterminous United States - 10 meter</description><downloadURL>http://datagateway.nrcs.usda.gov</downloadURL><mediaType>text/html</mediaType><title>gSSURGO-10</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Gridded Soil Survey Geographic (gSSURGO-30) Database for the Conterminous United States - 30 meter</title><description>This dataset is called the Gridded SSURGO (gSSURGO) Database and is derived from the Soil Survey Geographic (SSURGO) Database. SSURGO is generally the most detailed level of soil geographic data developed by the National Cooperative Soil Survey (NCSS) in accordance with NCSS mapping standards. The tabular data represent the soil attributes, and are derived from properties and characteristics stored in the National Soil Information System (NASIS). The gSSURGO data were prepared by merging traditional SSURGO digital vector map and tabular data into a Conterminous US-wide extent, and adding a Conterminous US-wide gridded map layer derived from the vector, plus a new value added look up (valu) table containing "ready to map" attributes. The gridded map layer is offered in an ArcGIS file geodatabase raster format.&#13;
&#13;
The raster and vector map data have a Conterminous US-wide extent. The raster map data have a 30 meter cell size. Each cell (and polygon) is linked to a map unit identifier called the map unit key. A unique map unit key is used to link to raster cells and polygons to attribute tables, including the new value added look up (valu) table that contains additional derived data.&#13;
&#13;
The value added look up (valu) table contains attribute data summarized to the map unit level using best practice generalization methods intended to meet the needs of most users. The generalization methods include map unit component weighted averages and percent of the map unit meeting a given criteria.&#13;
&#13;
The Gridded SSURGO dataset was created for use in national, regional, and state-wide resource planning and analysis of soils data. The raster map layer data can be readily combined with other national, regional, and local raster layers, e.g., National Land Cover Database (NLCD), the National Agricultural Statistics Service (NASS) Crop Data Layer, or the National Elevation Dataset (NED).</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><modified>2014-01-20</modified><identifier>NRCS0095</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>eva.mitter@wdc.usda.gov</emailAddress><fn>Eva Mitter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><distribution><description>Gridded Soil Survey Geographic (gSSURGO) Database for the Conterminous United States - 30 meter</description><downloadURL>http://datagateway.nrcs.usda.gov</downloadURL><mediaType>text/html</mediaType><title>gSSURGO-30</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Gridded Soil Survey Geographic (gSSURGO-90) Database for the Conterminous United States - 90 meter</title><description>This dataset is called the Gridded SSURGO (gSSURGO) Database and is derived from the Soil Survey Geographic (SSURGO) Database. SSURGO is generally the most detailed level of soil geographic data developed by the National Cooperative Soil Survey (NCSS) in accordance with NCSS mapping standards.&#13;
The tabular data represent the soil attributes, and are derived from properties and characteristics stored in the National Soil Information System (NASIS). The gSSURGO data were prepared by merging traditional SSURGO digital vector&#13;
map and tabular data into a Conterminous US-wide extent, and adding a Conterminous US-wide gridded map layer derived from the vector, plus a new value added look up (valu) table containing "ready to map" attributes. The gridded map layer is offered in an ArcGIS file geodatabase raster format.&#13;
&#13;
The raster and vector map data have a Conterminous US-wide&#13;
extent. The raster map data have a 90 meter cell size. Each&#13;
cell (and polygon) is linked to a map unit identifier called&#13;
the map unit key. A unique map unit key is used to link to&#13;
raster cells and polygons to attribute tables, including the&#13;
new value added look up (valu) table that contains additional&#13;
derived data.&#13;
&#13;
The value added look up (valu) table contains attribute&#13;
data summarized to the map unit level using best practice&#13;
generalization methods intended to meet the needs of most&#13;
users. The generalization methods include map unit component&#13;
weighted averages and percent of the map unit meeting a given&#13;
criteria.&#13;
&#13;
The Gridded SSURGO dataset was created for use in national, regional, and state-wide resource planning and analysis of soils data. The raster map layer data can be readily combined with other national, regional, and local raster layers, e.g., National Land Cover Database (NLCD), the National Agricultural&#13;
Statistics Service (NASS) Crop Data Layer, or the National Elevation Dataset (NED).</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><modified>2014-01-20</modified><identifier>NRCS0096</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>eva.mitter@wdc.usda.gov</emailAddress><fn>Eva Mitter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><distribution><description>Gridded Soil Survey Geographic (gSSURGO) Database for the Conterminous United States - 90 meter</description><downloadURL>http://datagateway.nrcs.usda.gov</downloadURL><mediaType>text/html</mediaType><title>gSSURGO-90</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>IPAT</title><description>Energy Tools - Irrigation Estimator</description><accessLevel>public</accessLevel><modified>2014-06-13</modified><identifier>NRCS0035</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>eva.mitter@wdc.usda.gov</emailAddress><fn>Eva Mitter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><distribution><description>Energy Tools - Irrigation Estimator</description><downloadURL>http://energytools.sc.egov.usda.gov/</downloadURL><mediaType>text/html</mediaType><title>IPAT</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Major Land Resource Areas (MLRA)</title><description>The United States, Caribbean and Pacific Basin Major Land Resource Areas (MLRA) Geographic Database serves as the geospatial expression of the map products presented and described in Agricultural Handbook 296 (2006). Land resource categories historically used at State and national levels are land resource units, land resource areas, and land resource regions. Land resource units (LRUs) are the basic units from which major land resource areas (MLRAs) are determined. They are also the basic units for State land resource maps. LRUs are typically coextensive with State general soil map units, but some general soil map units are subdivided into LRUs because of significant geographic differences in soils, climate, water resources, or land use. LRUs generally are several thousand acres in size. A unit can be one continuous area or several separate areas that are near each other. In 2005, these areas were designated as common resource areas (CRAs) within the Natural Resources Conservation Service (NRCS). CRAs are created by subdividing MLRAs by topography, other landscape features, hydrologic units, resource concerns, resource uses, and human considerations affecting use and soil and water conservation treatment needs. Common resource areas, or land resource units, are not described in this handbook and are not shown on the national map. Major land resource areas are geographically associated land resource units. Land resource regions are a group of geographically associated major land resource areas. Identification of these large areas is important in statewide agricultural planning and has value in interstate, regional, and national planning. In order to make this handbook more useful to other Federal agencies and private parties using ecological regions for planning or evaluation of natural resources programs and policies, Appendix I (Agriculture Handbook 296, 2006) cross-references MLRAs with Environmental Protection Agency Level III Ecoregions (USEPA, 2003; Omernik, 1987) and U.S. Forest Service ecological sections (Cleland and others, 2005; McNab and others, 2005). In this handbook, major land resource areas are generally designated by Arabic numbers and identified by a descriptive geographic name. Examples are MLRA 1 (Northern Pacific Coast Range, Foothills, and Valleys); MLRA 154 (South-Central Florida Ridge); and MLRA 230 (Yukon-Kuskokwim Highlands). Some MLRAs are designated by an Arabic number and a letter because previously established MLRAs have been divided into smaller, more homogeneous areas, for example, MLRAs 102A, 102B, and 102C. The use of numbers and letters to identify the newly created MLRAs requires fewer changes in existing information in records and in databases. A few MLRAs consist of two or more parts separated for short distances by other land resource areas. In places one of these parts is widely separated from the main body of the MLRA and is in an adjoining LRR. The description of the respective MLRA also applies to these outlying parts.</description><accessLevel>public</accessLevel><modified>2015-05-24</modified><spatial>United State, Territories, Commonwealths, Island Nations</spatial><identifier>NRCS0106</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>soilshotline@lin.usda.gov</emailAddress><fn>Soils Hotline</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><categories>Geospatial, Soils Theme, National Geospatial Data Asset</categories><distribution><description>Provides a service for ordering geospatial datasets of MLRA areas.</description><downloadURL>http://datagateway.nrcs.usda.gov</downloadURL><mediaType>text/html</mediaType><title>Major Land Resource Area Maps</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>NASIS</title><description>Web Soil Survey (WSS) provides soil data and information produced by the National Cooperative Soil Survey. It is operated by the USDA Natural Resources Conservation Service (NRCS) and provides access to the largest natural resource information system in the world.</description><accessLevel>public</accessLevel><modified>2014-06-13</modified><identifier>NRCS0039</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>eva.mitter@wdc.usda.gov</emailAddress><fn>Eva Mitter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><distribution><description>Web Soil Survey (WSS) provides soil data and information produced by the National Cooperative Soil Survey. It is operated by the USDA Natural Resources Conservation Service (NRCS) and provides access to the largest natural resource information system in the world.</description><downloadURL>http://websoilsurvey.sc.egov.usda.gov/App/HomePage.htm</downloadURL><mediaType>text/html</mediaType><title>NASIS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>NFAT</title><description>Energy Tools - Nitrogen Estimator</description><accessLevel>public</accessLevel><modified>2014-06-13</modified><identifier>NRCS0046</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>eva.mitter@wdc.usda.gov</emailAddress><fn>Eva Mitter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><distribution><description>Energy Tools - Nitrogen Estimator</description><downloadURL>http://energytools.sc.egov.usda.gov/</downloadURL><mediaType>text/html</mediaType><title>NFAT</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Cooperative Soil Characterization Database</title><description>This dataset is called the Gridded SSURGO (gSSURGO) Database and is derived from the Soil Survey Geographic (SSURGO) Database. SSURGO is generally the most detailed level of soil geographic data developed by the National Cooperative Soil Survey (NCSS) in accordance with NCSS mapping standards. The tabular data represent the soil attributes, and are derived from properties and characteristics stored in the National Soil Information System (NASIS). &#13;
&#13;
The gSSURGO data were prepared by merging traditional SSURGO digital vector map and tabular data into State-wide extents. A gridded map layer, derived from the vector, at a 10 meter cell size that approximates the vector polygons has been added. The raster and vector map data are also available in a Conterminous US-wide extent. The raster map data are in 10-, 30-, and 90- meter cell sizes. The gridded map layer is offered in an ArcGIS file geodatabase raster format in an Albers Equal Area projection.&#13;
&#13;
Each cell (and polygon) is linked to a map unit identifier called the map unit key. A unique map unit key is used to link to raster cells and polygons to attribute tables, including the new value added look up (valu) table containing "ready to map" attributes and additional derived data.&#13;
&#13;
The value added look up (valu) table contains attribute data summarized to the map unit level using best practice generalization methods intended to meet the needs of most users. The generalization methods include map unit component weighted averages and percent of the map unit meeting a given criteria.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><landingPage>http://datagateway.nrcs.usda.gov</landingPage><modified>2014-01-20</modified><spatial>United State, Territories, Commonwealths, Island Nations</spatial><identifier>NRCS0093</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>soilshotline@lin.usda.gov</emailAddress><fn>Soils Hotline</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><categories>Geospatial, National Geospatial Data Asset, Soils Theme</categories><distribution><description>Gridded Soil Survey Geographic (gSSURGO) Database for the United States of America and the Territories, Commonwealths, and Island Nations served by the USDA-NRCS</description><downloadURL>http://datagateway.nrcs.usda.gov</downloadURL><mediaType>text/html</mediaType><title>gSSURGO</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Cooperative Soil Survey (NCSS) Laboratory Data, NCSS Lab Data Mart Point Dataset</title><description>This layer represents the National Cooperative Soil Survey laboratory data of soil properties for soil samples taken at sites or points on the Earth’s globe – mainly from the United States of America but includes many countries. Sites are identified by unique site identifiers, though a site may be revisited over time producing more than one data set per site. A particular site will have one or more pedons or soil profiles with one or more soil horizons defined. Each horizon may have one or more soil samples that have been analyzed at a National Cooperative Soil Survey laboratory to produce measured and calculated values of soil properties, such as bulk density, particle size distribution, and pH.&#13;
&#13;
This dataset is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This dataset consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. The soil map units are linked to attributes in the National Soil Information System (NASIS) relational database, which gives the proportionate extent of the component soils and their properties.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><modified>2014-04-15</modified><identifier>NRCS0099</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>eva.mitter@wdc.usda.gov</emailAddress><fn>Eva Mitter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><distribution><description>National Cooperative Soil Survey (NCSS) Laboratory Data, NCSS Lab Data Mart Point Dataset&#13;
Additional link: ftp://ftp-fc.sc.egov.usda.gov/NSSC/pub/NCSS_Laboratory_Databases/</description><downloadURL>http://ncsslabdatamart.sc.egov.usda.gov/</downloadURL><mediaType>text/html</mediaType><title>NCSSLabData</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Coordinated Common Resource Areas (CRA) Geographic Database</title><description>A Common Resource Area (CRA) map delineation is defined as a geographical area where resource concerns, problems, or treatment needs are similar. It is considered a subdivision of an existing Major Land Resource Area (MLRA) map delineation or polygon. Landscape conditions, soil, climate, human considerations, and other natural resource information are used to determine the geographic boundaries of a Common Resource Area.&#13;
&#13;
The National Coordinated CRA Geographic Database provides:&#13;
1. A consistent CRA geographic database;&#13;
2. CRA geographic data compatible with other GIS data digitized from 1:250,000 scale maps, such as land use/land cover, political boundaries, Digital General Soil Map of the U.S. (updated STATSGO), and ecoregion boundaries;&#13;
3. A consistent (correlated) geographic index for Conservation Management Guide Sheet information and the eFOTG;&#13;
4. A geographic linkage with the national MLRA framework.</description><accessLevel>public</accessLevel><modified>2015-04-24</modified><spatial>United States, Territories, Commonwealths, Island Nations</spatial><identifier>NRCS0105</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>soilshotline@lin.usda.gov</emailAddress><fn>Soils Hotline</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><categories>Geospatial, National Geospatial Data Asset, Soils Theme</categories><distribution><description>Provides a service for ordering Common Resource Area geospatial datasets..</description><downloadURL>http://datagateway.nrcs.usda.gov</downloadURL><mediaType>text/html</mediaType><title>NRCS Data Gateway</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>PLANTS</title><description>The PLANTS Database provides standardized information about the vascular plants, mosses, liverworts, hornworts, and lichens of the U.S. and its territories</description><accessLevel>public</accessLevel><modified>2014-06-13</modified><identifier>NRCS0061</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>eva.mitter@wdc.usda.gov</emailAddress><fn>Eva Mitter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><distribution><description>The PLANTS Database provides standardized information about the vascular plants, mosses, liverworts, hornworts, and lichens of the U.S. and its territories</description><downloadURL>http://plants.usda.gov</downloadURL><mediaType>text/html</mediaType><title>PLANTS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>PRISM</title><description>Climate data provided by the National Water &amp; Climate Center</description><accessLevel>public</accessLevel><modified>2014-06-13</modified><identifier>NRCS0065</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>eva.mitter@wdc.usda.gov</emailAddress><fn>Eva Mitter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><distribution><description>Climate data provided by the National Water &amp; Climate Center</description><downloadURL>http://www.wcc.nrcs.usda.gov/</downloadURL><mediaType>text/html</mediaType><title>PRISM</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>PhotoGallery-A</title><description>Conservation-related pictures for download</description><accessLevel>public</accessLevel><modified>2014-06-12</modified><identifier>NRCS0057</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>eva.mitter@wdc.usda.gov</emailAddress><fn>Eva Mitter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><distribution><description>Conservation-related pictures for download</description><downloadURL>http://photogallery.nrcs.usda.gov/res/sites/photogallery/</downloadURL><mediaType>application/jpeg</mediaType><title>PhotoGallery</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>SNOwpack TELemetry Network (SNOTEL)</title><description>The SNOTEL data retrieval tools provides an interactive process to identify and retrieve data from individual SNOTEL sites. The user does not need to know the ID for the site but must know either it's general location or the name of the site</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1D</accrualPeriodicity><issued>1977-10-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>point</spatial><temporal>2013/2014</temporal><identifier>USDA-4390</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>garry.schaefer@por.usda.gov</emailAddress><fn>Garry Schaefer, USDA/NRCS/NWCC, Portland, Oregon</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><references>http://www.wcc.nrcs.usda.gov/snotel/SNOTEL-brochure.pdf</references><distribution><downloadURL>http://www.wcc.nrcs.usda.gov/snow/</downloadURL><mediaType>text/csv</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Soil Climate Analysis Network (SCAN)</title><description>The SCAN data retrieval tools provides an interactive process to identify and retrieve data from individual SCAN sites. The user does not need to know the ID for the site but must know either it's general location or the name of the site</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1D</accrualPeriodicity><issued>1991-10-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>point</spatial><temporal>2013/2014</temporal><identifier>USDA-4252</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>garry.schaefer@por.usda.gov</emailAddress><fn>Garry Schaefer, USDA/NRCS/NWCC, Portland, Oregon</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><references>http://www.wcc.nrcs.usda.gov/scan/SCAN-brochure.pdf</references><distribution><downloadURL>http://www.wcc.nrcs.usda.gov/scan/</downloadURL><mediaType>text/html</mediaType><title>SCAN</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Soil Survey Geographic Database (SSURGO)</title><description>This dataset is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information.&#13;
&#13;
This dataset consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.&#13;
&#13;
SSURGO depicts information about the kinds and distribution of soils on the landscape. The soil map and data used in the SSURGO product were prepared by soil scientists as part of the National Cooperative Soil Survey.</description><accessLevel>public</accessLevel><modified>2014-01-20</modified><spatial>United States, Territories, Commonwealths, Island Nations</spatial><identifier>NRCS0092</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>soilshotline@lin.usda.gov</emailAddress><fn>Soils Hotline</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><categories>Geospatial, National Geospatial Data Asset, Soils Theme</categories><distribution><description>Additional URL: http://websoilsurvey.nrcs.usda.gov</description><downloadURL>http://datagateway.nrcs.usda.gov</downloadURL><mediaType>text/html</mediaType><title>SSURGO</title><type>dcat:Distribution</type></distribution><distribution><description>Provides a means to order geospatial datasets</description><downloadURL>http://datagateway.nrcs.usda.gov</downloadURL><mediaType>text/html</mediaType><title>Geospatial Data Gateway</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>U.S. General Soil Map (STATSGO2)</title><description>This dataset consists of general soil association units. It was developed by the National Cooperative Soil Survey and supersedes the State Soil Geographic (STATSGO) dataset published in 1994. It consists of a broad based inventory of soils and non-soil areas that occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped of 1:250,000 in the continental U.S., Hawaii, Puerto, and the Virgin Islands and 1:1,000,000 in Alaska. The dataset was created by generalizing more detailed soil survey maps. Where more detailed soil survey maps were not available, data on geology, topography, vegetation, and climate were assembled, together with Land Remote Sensing Satellite (LANDSAT) images. Soils of like areas were studied, and the probable classification and extent of the soils were determined.&#13;
&#13;
Map unit composition was determined by transecting or sampling areas on the more detailed maps and expanding the data statistically to characterize the entire map unit.&#13;
&#13;
This dataset consists of georeferenced vector digital data and tabular digital data. The map data were collected in 1- by 2-degree topographic quadrangle units and merged into a seamless national dataset. The soil map units are linked to attributes in the National Soil Information system relational database, which gives the proportionate extent of the component soils and their properties. &#13;
&#13;
These data provide information about soil features on or near the surface of the Earth. Data were collected as part of the National Cooperative Soil Survey. These data are intended for geographic display and analysis at the state, regional, and national level. The data should be displayed and analyzed at scales appropriate for 1:250,000-scale data.</description><accessLevel>public</accessLevel><modified>2006-07-06</modified><identifier>NRCS0097</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>soilshotline@lin.usda.gov</emailAddress><fn>Soils Hotline</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><categories>Geospatial, National Geospatial Data Asset, Soils Theme</categories><distribution><description>U.S. General Soil Map (STATSGO2) for the United States of America&#13;
Additional link: http://websoilsurvey.nrcs.usda.gov</description><downloadURL>http://datagateway.nrcs.usda.gov</downloadURL><mediaType>text/html</mediaType><title>STATSGO2</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>U.S. General Soil Map (STATSGO2) for Individual States</title><description>This dataset consists of general soil association units. It was developed by the National Cooperative Soil Survey and supersedes the State Soil Geographic (STATSGO) dataset published in 1994. It consists of a broad based inventory of soils and nonsoil areas that occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped of 1:250,000 in the continental U.S., Hawaii, Puerto, and the Virgin Islands and 1:1,000,000 in Alaska. The dataset was created by generalizing more detailed soil survey maps. Where more detailed soil survey maps were not available, data on geology, topography, vegetation,&#13;
and climate were assembled, together with Land Remote Sensing Satellite (LANDSAT) images. Soils of like areas were studied, and the probable classification and extent of the soils were determined.&#13;
&#13;
Map unit composition was determined by transecting or sampling areas on the more detailed maps and expanding the data statistically to characterize the entire map unit.&#13;
&#13;
This dataset consists of georeferenced vector digital data and tabular digital data. The map data were collected in 1- by 2-degree topographic quadrangle units. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.&#13;
&#13;
These data provide information about soil features on or near the surface of the Earth. Data were collected as part of the National Cooperative Soil Survey. These data are intended for geographic display and analysis at the state, regional, and national level. The data should be displayed and analyzed at scales appropriate for 1:250,000-scale data.</description><accessLevel>public</accessLevel><accrualPeriodicity>irregular</accrualPeriodicity><modified>2006-07-06</modified><identifier>NRCS0098</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>eva.mitter@wdc.usda.gov</emailAddress><fn>Eva Mitter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><distribution><description>U.S. General Soil Map (STATSGO2) for Individual States &#13;
Addtional link: http://websoilsurvey.nrcs.usda.gov</description><downloadURL>http://datagateway.nrcs.usda.gov</downloadURL><mediaType>text/html</mediaType><title>STATSGO2-State</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Service Center Locator</title><description>This site provides addresses, telephone numbers and other key information for USDA Service Center locations. These office locations will provide customers with information and assistance for available disaster programs. Agencies shown include the Farm Service Agency, Rural Development and the Natural Resources Conservation Service.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1D</accrualPeriodicity><issued>1998-08-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States and U.S. Territories</spatial><temporal>2013/2014</temporal><identifier>USDA-9361</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>paige.niederer@ftc.usda.gov</emailAddress><fn>Paige Niederer</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><distribution><downloadURL>http://offices.sc.egov.usda.gov/locator/app</downloadURL><mediaType>text/csv</mediaType><title>Comma Seperated Values File</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>eDirectives</title><description>NRCS Directive System</description><accessLevel>public</accessLevel><modified>2014-06-13</modified><identifier>NRCS0013</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>eva.mitter@wdc.usda.gov</emailAddress><fn>Eva Mitter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><distribution><description>NRCS Directive System</description><downloadURL>http://directives.sc.egov.usda.gov/</downloadURL><mediaType>text/html</mediaType><title>eDirectives</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>eFOTG</title><description>Electronic Field Operations Technical Guide</description><accessLevel>public</accessLevel><modified>2014-06-13</modified><identifier>NRCS0014</identifier><publisher><name>NRCS</name><type>org:Organization</type></publisher><contactPoint><emailAddress>eva.mitter@wdc.usda.gov</emailAddress><fn>Eva Mitter</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:53</bureauCode><programCode>005:027</programCode><distribution><description>Electronic Field Operations Technical Guide</description><downloadURL>http://www.nrcs.usda.gov/wps/portal/nrcs/main/national/technical/fotg/</downloadURL><mediaType>text/html</mediaType><title>eFOTG</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Rural Development Disaster Assistance</title><description>Rural Development Disaster Assistance Declarations - April30Ver2</description><accessLevel>public</accessLevel><modified>2015-02-26</modified><identifier>USDA-RD-0011</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>karen.priestly@wdc.usda.gov</emailAddress><fn>Karen Priestly</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:039</programCode><distribution><accessURL>http://www.rd.usda.gov/programs-services/services/rural-development-disaster-assistance</accessURL><description>Rural Development disasater assistance options</description><title>Rural Development Disaster Assistance</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development (RD) - Obligations by Location</title><description>These ESRI shapefiles show spatial data, points on a map. In addition, shapefiles provide attribute data for each point. Shapefile’s attribute data include spatial information such as latitude and longitude, the address, and obligation amount.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P6M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2015-10-27</modified><identifier>USDA-RD-021</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gayle.doss@stl.usda.gov</emailAddress><fn>Gayle Doss</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:004</programCode><distribution><downloadURL>http://www.sc.egov.usda.gov/data/files/RD_Obligations/RD_Obligations_2014_06.zip</downloadURL><mediaType>application/zip</mediaType><title>RD Obligations by Location Shapefiles</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development (RD) Property Eligibility - Broadband</title><description>This data is used to determine eligibility for certain USDA broadband loan and grant programs.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P6M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2014-05-01</modified><identifier>USDA-RD-007</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gayle.doss@stl.usda.gov</emailAddress><fn>Gayle Doss</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:004</programCode><distribution><description>This map file contains information for determining property ineligible for broadband programs</description><downloadURL>http://www.sc.egov.usda.gov/data/files/Broadband_Ineligible.zip</downloadURL><mediaType>application/zip</mediaType><title>Property Ineligibilty - Broadband</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://eligibility.sc.egov.usda.gov/eligibility/welcomeAction.do</downloadURL><mediaType>text/html</mediaType><title>Housing Income Eligibility Calculator</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Community Facilities Loan, Grant, and Guaranteed Loan Data</title><description>Locations and characteristics of projects that have received USDA Rural Development Community Facilities Loans, Grants, and Guaranteed Loans. Includes latitude and longitude coordinates, facility name and address, NAICS Code, funding type, obligation date and amount, total development cost, borrower name and type, and more</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P6M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/CF.html</landingPage><modified>2016-08-29</modified><identifier>USDA-RD-041</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>karen.priestly@wdc.usda.gov</emailAddress><fn>Public Affairs Office</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><description>USDA RD Community Facilities Data Dictionary as of September 2016</description><downloadURL>http://www.sc.egov.usda.gov/data/files/CF/Community_Facilities_Data_Dictionary_September_2016.pdf</downloadURL><mediaType>application/pdf</mediaType><title>USDA RD Community Facilities Data Dictionary</title><type>dcat:Distribution</type></distribution><distribution><accessURL>http://www.sc.egov.usda.gov/data/files/CF/USDA%20Community%20Facilities%20Loans%20and%20Grants%20as%20of%2009.01.2016.xls</accessURL><title>USDA RD Community Facilities CF Loans and Grants</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi Family Housing - April 2016</title><description>Multi Family Housing: A downloadable database file that identifies pertinent information related to USDA Rural Development housing assistance and the Multi Family Housing Section 515 Program for April 2016.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2016-03-02</modified><identifier>USDA-RD-028</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.duval@wdc.usda.gov</emailAddress><fn>Ed Duval</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><accessURL>http://www.sc.egov.usda.gov/data/files/MFH_Section_515/MFH_section_515_20160401_03.zip</accessURL><description>MFH Section 515 April 2016</description><title>MFH Section 515 April 2016</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi Family Housing - April 2017</title><description>Multi Family Housing: A downloadable database file that identifies pertinent information related to USDA Rural Development housing assistance and the Multi Family Housing Section 515 Program for April 2017.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2017-03-02</modified><identifier>USDA-RD-55</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.duval@wdc.usda.gov</emailAddress><fn>Ed Duval</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><description>Active Projects by month</description><downloadURL>https://www.sc.egov.usda.gov/data/files/MFH_Section_515/MFH_section_515_20170403_03.zip</downloadURL><mediaType>application/zip</mediaType><title>MFH Section 515</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi Family Housing - August 2016</title><description>Multi Family Housing: A downloadable database file that identifies pertinent information related to USDA Rural Development housing assistance and the Multi Family Housing Section 515 Program for August 2016.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2016-07-05</modified><identifier>USDA-RD-043</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.duval@wdc.usda.gov</emailAddress><fn>Ed Duval</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><downloadURL>http://www.sc.egov.usda.gov/data/files/MFH_Section_515/MFH_section_515_20160801_03.zip</downloadURL><mediaType>application/zip</mediaType><title>USDA MFH Section 515 - August 2016</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi Family Housing - August 2017</title><description>Multi Family Housing: A downloadable database file that identifies pertinent information related to USDA Rural Development housing assistance and the Multi Family Housing Section 515 Program for August 2017.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2017-03-02</modified><identifier>USDA-RD-59</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.duval@wdc.usda.gov</emailAddress><fn>Ed Duval</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><downloadURL>https://www.sc.egov.usda.gov/data/files/MFH_Section_515/MFH_section_515_20170801_03.zip</downloadURL><mediaType>application/zip</mediaType><title>USDA MFH Section 515 - August 2017</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi Family Housing - December 2015</title><description>Multi Family Housing: A downloadable database file that identifies pertinent information related to USDA Rural Development housing assistance and the Multi Family Housing Section 515 Program for December 2015.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2015-12-02</modified><identifier>USDA-RD-022</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.duval@wdc.usda.gov</emailAddress><fn>Ed Duval</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><downloadURL>http://www.sc.egov.usda.gov/data/files/MFH_Section_515/MFH_section_515_20151201_03.zip</downloadURL><mediaType>application/zip</mediaType><title>MFH Section 515 December 2015</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi Family Housing - December 2016</title><description>Multi Family Housing: A downloadable database file that identifies pertinent information related to USDA Rural Development housing assistance and the Multi Family Housing Section 515 Program for December 2016.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2016-12-01</modified><identifier>USDA-RD-51</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.duval@wdc.usda.gov</emailAddress><fn>Ed Duval</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><description>MFH Section 515 December 2016</description><downloadURL>https://www.sc.egov.usda.gov/data/files/MFH_Section_515/MFH_section_515_20161201_03.zip</downloadURL><mediaType>application/zip</mediaType><title>Active MFH Section 515 by Month - December 2016</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi Family Housing - February 2016</title><description>Multi Family Housing: A downloadable database file that identifies pertinent information related to USDA Rural Development housing assistance and the Multi Family Housing Section 515 Program for February 2016.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2016-02-02</modified><identifier>USDA-RD-026</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.duval@wdc.usda.gov</emailAddress><fn>Ed Duval</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><description>USDA Rural Development Section 515 MFH - February 2016</description><downloadURL>http://www.sc.egov.usda.gov/data/files/MFH_Section_515/MFH_section_515_20160201_03.zip</downloadURL><mediaType>application/zip</mediaType><title>USDA Rural Development Section 515 MFH - February 2016</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi Family Housing - February 2017</title><description>Multi Family Housing: A downloadable database file that identifies pertinent information related to USDA Rural Development housing assistance and the Multi Family Housing Section 515 Program for February 2017.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2017-01-01</modified><identifier>USDA-RD-53</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.duval@wdc.usda.gov</emailAddress><fn>Ed Duval</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><description>MFH Section 515 - January 2017</description><downloadURL>https://www.sc.egov.usda.gov/data/files/MFH_Section_515/MFH_section_515_20170201_03.zip</downloadURL><mediaType>application/zip</mediaType><title>MFH Section 515 - January 2017</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi Family Housing - January 2016</title><description>Multi Family Housing: A downloadable database file that identifies pertinent information related to USDA Rural Development housing assistance and the Multi Family Housing Section 515 Program for January 2016.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2016-01-02</modified><identifier>USDA-RD-025</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.duval@wdc.usda.gov</emailAddress><fn>Ed Duval</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><downloadURL>http://www.sc.egov.usda.gov/data/files/MFH_Section_515/MFH_section_515_20160104_03.zip</downloadURL><mediaType>application/zip</mediaType><title>MFH Section 515 January 2016</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi Family Housing - January 2017</title><description>Multi Family Housing: A downloadable database file that identifies pertinent information related to USDA Rural Development housing assistance and the Multi Family Housing Section 515 Program for January 2017.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2017-01-01</modified><identifier>USDA-RD-52</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.duval@wdc.usda.gov</emailAddress><fn>Ed Duval</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><description>MFH Section 515 January 2017</description><downloadURL>https://www.sc.egov.usda.gov/data/files/MFH_Section_515/MFH_section_515_20170103_03.zip</downloadURL><mediaType>application/zip</mediaType><title>Active MFH Section 515 by Month - January 2017</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi Family Housing - July 2016</title><description>Multi Family Housing: A downloadable database file that identifies pertinent information related to USDA Rural Development housing assistance and the Multi Family Housing Section 515 Program for July 2016.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2016-07-05</modified><identifier>USDA-RD-036</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.duval@wdc.usda.gov</emailAddress><fn>Ed Duval</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><downloadURL>http://www.sc.egov.usda.gov/data/files/MFH_Section_515/MFH_section_515_20160705_03.zip</downloadURL><mediaType>application/zip</mediaType><title>MFH Section 515 - July 2016</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi Family Housing - July 2017</title><description>Multi Family Housing: A downloadable database file that identifies pertinent information related to USDA Rural Development housing assistance and the Multi Family Housing Section 515 Program for July 2017.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2017-03-02</modified><identifier>USDA-RD-58</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.duval@wdc.usda.gov</emailAddress><fn>Ed Duval</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><downloadURL>https://www.sc.egov.usda.gov/data/files/MFH_Section_515/MFH_section_515_20170703_03.zip</downloadURL><mediaType>application/zip</mediaType><title>USDA MFH Section 515 - July 2017</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi Family Housing - June 2016</title><description>Multi Family Housing: A downloadable database file that identifies pertinent information related to USDA Rural Development housing assistance and the Multi Family Housing Section 515 Program for June 2016.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2016-06-06</modified><identifier>USDA-RD-033</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.duval@wdc.usda.gov</emailAddress><fn>Ed Duval</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><description>Multifamily Section 515 Housing Assistance</description><downloadURL>http://www.sc.egov.usda.gov/data/files/MFH_Section_515/MFH_section_515_20160601_03.zip</downloadURL><mediaType>application/zip</mediaType><title>MFH Section 515 - June 2016</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi Family Housing - June 2017</title><description>Multi Family Housing: A downloadable database file that identifies pertinent information related to USDA Rural Development housing assistance and the Multi Family Housing Section 515 Program for June 2017.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2017-03-02</modified><identifier>USDA-RD-57</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.duval@wdc.usda.gov</emailAddress><fn>Ed Duval</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><downloadURL>https://www.sc.egov.usda.gov/data/files/MFH_Section_515/MFH_section_515_20170601_03.zip</downloadURL><mediaType>application/zip</mediaType><title>MFH Section 515 - June 2017</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi Family Housing - March 2016</title><description>Multi Family Housing: A downloadable database file that identifies pertinent information related to USDA Rural Development housing assistance and the Multi Family Housing Section 515 Program for March 2016.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2016-03-02</modified><identifier>USDA-RD-027</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.duval@wdc.usda.gov</emailAddress><fn>Ed Duval</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><description>Multi Family Housing Section 515 Program for March 2016</description><downloadURL>http://www.sc.egov.usda.gov/data/files/MFH_Section_515/MFH_section_515_20160301_03.zip</downloadURL><mediaType>application/zip</mediaType><title>MFH Section 515 March 2016</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi Family Housing - March 2017</title><description>Multi Family Housing: A downloadable database file that identifies pertinent information related to USDA Rural Development housing assistance and the Multi Family Housing Section 515 Program for March 2017.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2017-03-02</modified><identifier>USDA-RD-54</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.duval@wdc.usda.gov</emailAddress><fn>Ed Duval</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><downloadURL>https://www.sc.egov.usda.gov/data/files/MFH_Section_515/MFH_section_515_20170301_03.zip</downloadURL><mediaType>application/zip</mediaType><title>MFH Section 515 - March 2017</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi Family Housing - May 2016</title><description>Multi Family Housing: A downloadable database file that identifies pertinent information related to USDA Rural Development housing assistance and the Multi Family Housing Section 515 Program for May 2016.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2016-03-02</modified><identifier>USDA-RD-029</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.duval@wdc.usda.gov</emailAddress><fn>Ed Duval</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><description>MFH Section 515 May 2016</description><downloadURL>http://www.sc.egov.usda.gov/data/files/MFH_Section_515/MFH_section_515_20160502_03.zip</downloadURL><mediaType>application/zip</mediaType><title>MFH Section 515 May 2016</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi Family Housing - May 2017</title><description>Multi Family Housing: A downloadable database file that identifies pertinent information related to USDA Rural Development housing assistance and the Multi Family Housing Section 515 Program for May 2017.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2017-03-02</modified><identifier>USDA-RD-56</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.duval@wdc.usda.gov</emailAddress><fn>Ed Duval</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><downloadURL>https://www.sc.egov.usda.gov/data/files/MFH_Section_515/MFH_section_515_20170501_03.zip</downloadURL><mediaType>application/zip</mediaType><title>MFH Section 515 May 2017</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi Family Housing - November 2015</title><description>Multi Family Housing: A downloadable database file that identifies pertinent information related to USDA Rural Development housing assistance and the Multi Family Housing Section 515 Program.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2015-11-06</modified><identifier>USDA-RD-001</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.duval@wdc.usda.gov</emailAddress><fn>Ed Duval</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><downloadURL>http://www.sc.egov.usda.gov/data/files/MFH_Section_515/MFH_section_515_20151102_03.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><title>Section 515 Housing</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi Family Housing - November 2016</title><description>Multi Family Housing: A downloadable database file that identifies pertinent information related to USDA Rural Development housing assistance and the Multi Family Housing Section 515 Program for November 2016.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2016-07-05</modified><identifier>USDA-RD-50</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.duval@wdc.usda.gov</emailAddress><fn>Ed Duval</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><downloadURL>http://www.sc.egov.usda.gov/data/files/MFH_Section_515/MFH_section_515_20161101_03.zip</downloadURL><mediaType>application/zip</mediaType><title>Active MFH Project by Month - November 2016</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi Family Housing - November 2017</title><description>Multi Family Housing: A downloadable database file that identifies pertinent information related to USDA Rural Development housing assistance and the Multi Family Housing Section 515 Program for November 2017.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2017-11-02</modified><identifier>USDA-RD-62</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.duval@wdc.usda.gov</emailAddress><fn>Ed Duval</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><downloadURL>https://www.sc.egov.usda.gov/data/files/MFH_Section_515/MFH_section_515_20171101_03.zip</downloadURL><mediaType>application/zip</mediaType><title>MFH Section 515 - Novermber 2017</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi Family Housing - October 2016</title><description>Multi Family Housing: A downloadable database file that identifies pertinent information related to USDA Rural Development housing assistance and the Multi Family Housing Section 515 Program for October 2016.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2016-07-05</modified><identifier>USDA-RD-49</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.duval@wdc.usda.gov</emailAddress><fn>Ed Duval</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><downloadURL>http://www.sc.egov.usda.gov/data/files/MFH_Section_515/MFH_section_515_20161003_03.zip</downloadURL><mediaType>application/zip</mediaType><title>MFH Section 515 October 2016</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi Family Housing - October 2017</title><description>Multi Family Housing: A downloadable database file that identifies pertinent information related to USDA Rural Development housing assistance and the Multi Family Housing Section 515 Program for October 2017.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2017-10-02</modified><identifier>USDA-RD-61</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.duval@wdc.usda.gov</emailAddress><fn>Ed Duval</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><downloadURL>https://www.sc.egov.usda.gov/data/files/MFH_Section_515/MFH_section_515_20171002_03.zip</downloadURL><mediaType>application/zip</mediaType><title>MFH Section 515 - October 2017</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi Family Housing - September 2016</title><description>Multi Family Housing: A downloadable database file that identifies pertinent information related to USDA Rural Development housing assistance and the Multi Family Housing Section 515 Program for September 2016.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2016-07-05</modified><identifier>USDA-RD-044</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.duval@wdc.usda.gov</emailAddress><fn>Ed Duval</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><downloadURL>http://www.sc.egov.usda.gov/data/files/MFH_Section_515/MFH_section_515_20160906_03.zip</downloadURL><mediaType>application/zip</mediaType><title>USDA MFH Section 515 - September 2016</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi Family Housing - September 2017</title><description>Multi Family Housing: A downloadable database file that identifies pertinent information related to USDA Rural Development housing assistance and the Multi Family Housing Section 515 Program for September 2017.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2017-03-02</modified><identifier>USDA-RD-60</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ed.duval@wdc.usda.gov</emailAddress><fn>Ed Duval</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><downloadURL>https://www.sc.egov.usda.gov/data/files/MFH_Section_515/MFH_section_515_20170901_03.zip</downloadURL><mediaType>application/zip</mediaType><title>MFH Section 515 - September 2017</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multi-Family Housing Program Exit Data</title><description>This dataset provides loan-level information on when USDA Section 514 and 515 properties are projected to pay off their loans and exit USDA’s Multi-Family Housing program. Includes estimated property exit year, whether the loan is prepay eligible and when, loan amount, original loan term and remaining term days, borrower characteristics, property location and characteristics, and more.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P6M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/MFH.html</landingPage><modified>2017-06-30</modified><identifier>USDA-RD-045</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>karen.priestly@wdc.usda.gov</emailAddress><fn>Public Affairs Office</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><description>This dataset provides loan-level information on when USDA Section 514 and 515 properties are projected to pay off their loans and exit USDA’s Multi-Family Housing program.</description><downloadURL>https://www.sc.egov.usda.gov/data/files/MFH/USDA%20Multifamily%20Housing%20Program%20Exit%20Data%20as%20of%2006.30.17.xlsx</downloadURL><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><title>USDA Multifmaily Housing Program Exit Data as of 06.30.17</title><type>dcat:Distribution</type></distribution><distribution><description>Multi-Family Housing Program Exit Data - Public Data Dictionary</description><downloadURL>http://www.sc.egov.usda.gov/data/files/MFH/USDA%20Multifamily%20Housing%20Program%20Exit%20Data_Data%20Dictionary.pdf</downloadURL><mediaType>application/pdf</mediaType><title>USDA Multifamily Housing Program Exit Data - Data Dictionary</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multifamily Section 515 Rural Rental Housing and Section 514 Farm Labor Housing Properties Transfers, Consolidations, and Sales</title><description>Transaction history of property transfers, consolidations, and sales within the USDA Rural Development Multifamily Direct Loan programs: Section 515 Rural Rental Housing and Section 514 Farm Labor Housing. Includes new property ID numbers and associated old property ID numbers, transaction type indicators, and effective dates. Requires merging with “USDA Rural Development Multifamily Section 515 Rural Rental Housing and Section 514 Farm Labor Housing Property Characteristics” to obtain property address and other characteristics based on new property ID number.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P6M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/MFH.html</landingPage><modified>2016-06-02</modified><identifier>USDA-RD-031</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>karen.priestly@wdc.usda.gov</emailAddress><fn>Public Affairs Office</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><description>Transaction history of property transfers, consolidations, and sales within the USDA Rural Development Multifamily Direct Loan programs: Section 515 Rural Rental Housing and Section 514 Farm Labor Housing. Includes new property ID numbers and associated old property ID numbers, transaction type indicators, and effective dates. Requires merging with “USDA Rural Development Multifamily Section 515 Rural Rental Housing and Section 514 Farm Labor Housing Property Characteristics” to obtain property address and other characteristics based on new property ID number.</description><downloadURL>http://www.sc.egov.usda.gov/data/files/MFH_Section_515/ActiveProjects/mfhd_active_projects_transfer_info.csv</downloadURL><mediaType>text/csv</mediaType><title>USDA Rural Development Multifamily Section 515 Rural Rental Housing and Section 514 Farm Labor Housing Properties Transfers, Consolidations, and Sales</title><type>dcat:Distribution</type></distribution><distribution><description>Public data dictionary describing the coding of variables for three USDA Rural Development Multifamily Direct Loan Program</description><downloadURL>http://www.sc.egov.usda.gov/data/files/MFH_Section_515/ActiveProjects/USDA-RUR.PDF</downloadURL><mediaType>application/pdf</mediaType><title>USDA Rural Development Multifamily Section 515 Rural Rental Housing and Section 514 Farm Labor Housing Public Data Dictionary</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multifamily Section 515 Rural Rental Housing and Section 514 Farm Labor Housing Property Characteristics</title><description>Property locations and characteristics for USDA Rural Development Multifamily Direct Loan programs: Section 515 Rural Rental Housing and Section 514 Farm Labor Housing. Includes latitude and longitude coordinates, property address, type of development, date of operation, profit type, management agent, loan program identifier, Low Income Housing Tax Credit identifier and expiration date, Multifamily Preservation and Revitalization program identifier, total units, USDA Section 521 rental assistance units, units by bedroom size, and vacant units.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P6M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/MFH.html</landingPage><modified>2016-06-02</modified><identifier>USDA-RD-030</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>karen.priestly@wdc.usda.gov</emailAddress><fn>Public Affairs Office</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><description>Property locations and characteristics for USDA Rural Development Multifamily Direct Loan programs: Section 515 Rural Rental Housing and Section 514 Farm Labor Housing. Includes latitude and longitude coordinates, property address, type of development, date of operation, profit type, management agent, loan program identifier, Low Income Housing Tax Credit identifier and expiration date, Multifamily Preservation and Revitalization program identifier, total units, USDA Section 521 rental assistance units, units by bedroom size, and vacant units.</description><downloadURL>http://www.sc.egov.usda.gov/data/files/MFH_Section_515/ActiveProjects/mfhd_active_projects.csv</downloadURL><mediaType>text/csv</mediaType><title>USDA Rural Development Multifamily Section 515 Rural Rental Housing and Section 514 Farm Labor Housing Property Characteristics</title><type>dcat:Distribution</type></distribution><distribution><description>Public data dictionary describing the coding of variables for three USDA Rural Development Multifamily Direct Loan Program</description><downloadURL>http://www.sc.egov.usda.gov/data/files/MFH_Section_515/ActiveProjects/USDA-RUR.PDF</downloadURL><mediaType>application/pdf</mediaType><title>USDA Rural Development Multifamily Section 515 Rural Rental Housing and Section 514 Farm Labor Housing Public Data Dictionary</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Multifamily Section 515 Rural Rental Housing and Section 514 Farm Labor Housing Tenant Characteristics</title><description>Aggregated tenant characteristics for USDA Rural Development Multifamily Direct Loan programs: Section 515 Rural Rental Housing and Section 514 Farm Labor Housing. Includes property address and aggregated demographic information including female headed-households, elderly aged 62 or older, minors, disability status, race, and ethnicity. Also includes average annual income, average annual income by source of income, cost-burden indicator, zero income indicator, and rental assistance subsidy counts by type of assistance. Can be merged with “USDA Rural Development Multifamily Section 515 Rural Rental Housing and Section 514 Farm Labor Housing Property Characteristics” to link to property characteristics, as well as “USDA Rural Development Multifamily Section 515 Rural Rental Housing and Section 514 Farm Labor Housing Properties Transfers, Consolidations, and Sales” to link with property transaction histories.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P6M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/MFH.html</landingPage><modified>2016-06-02</modified><identifier>USDA-RD-032</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>karen.priestly@wdc.usda.gov</emailAddress><fn>Public Affairs Office</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><description>Aggregated tenant characteristics for USDA Rural Development Multifamily Direct Loan programs: Section 515 Rural Rental Housing and Section 514 Farm Labor Housing. Includes property address and aggregated demographic information including female headed-households, elderly aged 62 or older, minors, disability status, race, and ethnicity. Also includes average annual income, average annual income by source of income, cost-burden indicator, zero income indicator, and rental assistance subsidy counts by type of assistance. Can be merged with “USDA Rural Development Multifamily Section 515 Rural Rental Housing and Section 514 Farm Labor Housing Property Characteristics” to link to property characteristics, as well as “USDA Rural Development Multifamily Section 515 Rural Rental Housing and Section 514 Farm Labor Housing Properties Transfers, Consolidations, and Sales” to link with property transaction histories.</description><downloadURL>http://www.sc.egov.usda.gov/data/files/MFH_Section_515/ActiveProjects/mfhd_tenant_info_All%20Properties.csv</downloadURL><mediaType>text/csv</mediaType><title>USDA Rural Development Multifamily Section 515 Rural Rental Housing and Section 514 Farm Labor Housing Tenant Characteristics</title><type>dcat:Distribution</type></distribution><distribution><description>Public data dictionary describing the coding of variables for three USDA Rural Development Multifamily Direct Loan Program</description><downloadURL>http://www.sc.egov.usda.gov/data/files/MFH_Section_515/ActiveProjects/USDA-RUR.PDF</downloadURL><mediaType>application/pdf</mediaType><title>USDA Rural Development Multifamily Section 515 Rural Rental Housing and Section 514 Farm Labor Housing Public Data Dictionary</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Property Eligibility (SFH/MFH)</title><description>This data is used to determine eligibility for certain USDA Single Family Housing and Multi-Family Housing loan and grant programs.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P6M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2017-03-02</modified><identifier>USDA-RD-010</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gayle.doss@stl.usda.gov</emailAddress><fn>Gayle Doss</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:006</programCode><distribution><description>These map files determine areas ineligible for SFH and MFH programs</description><downloadURL>https://www.sc.egov.usda.gov/data/files/SFH_MFH_Ineligible/SFH_MFH_Ineligible20170302.zip</downloadURL><mediaType>application/zip</mediaType><title>Property Ineligibility - Single Family Housing and Multi Family Housing</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://eligibility.sc.egov.usda.gov/eligibility/welcomeAction.do</downloadURL><mediaType>text/html</mediaType><title>Housing Income Eligibility Calculator</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Property Eligibility - Rural Business Service (B&amp;I Guaranteed, RBEG, RBOG, REAP, RMAP, BAP and IRP)</title><description>This data is used to determine eligibility for certain USDA RBS loan and grant programs.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P6M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2017-04-18</modified><identifier>USDA-RD-0006</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gayle.doss@stl.usda.gov</emailAddress><fn>Gayle Doss</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:001</programCode><distribution><accessURL>https://www.sc.egov.usda.gov/data/files/RBS_Inelgible.zip</accessURL><description>These map files determine areas ineligible for RBS loans and grants</description><title>Property Ineligibility - RBS</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://eligibility.sc.egov.usda.gov/eligibility/welcomeAction.do</downloadURL><mediaType>text/html</mediaType><title>Housing Income Eligibility Calculator</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Property Eligibility - Rural Business Service (RCDI, REDL, REDG)</title><description>This data is used to determine eligibility for certain USDA Intermediary Relending Programs.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P6M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2015-03-18</modified><identifier>USDA-RD-008</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gayle.doss@stl.usda.gov</emailAddress><fn>Gayle Doss</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:007</programCode><distribution><description>This file contains map data to determine ineligile areas for IRP</description><downloadURL>http://www.sc.egov.usda.gov/data/files/IRP_Ineligible.zip</downloadURL><mediaType>application/zip</mediaType><title>Property Ineligibility - Intermediary Relending Program</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://eligibility.sc.egov.usda.gov/eligibility/welcomeAction.do</downloadURL><mediaType>text/html</mediaType><title>Housing Income Eligibility Calculator</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Property Eligibility Water and Environmental Programs</title><description>This data is used to determine eligibility for certain USDA Water and Environmental Programs.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P6M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2014-05-01</modified><identifier>USDA-RD-009</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>gayle.doss@stl.usda.gov</emailAddress><fn>Gayle Doss</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:006</programCode><distribution><description>These map files determine areas ineligible for water and environmental programs</description><downloadURL>http://www.sc.egov.usda.gov/data/files/WEP_Ineligible.zip</downloadURL><mediaType>application/zip</mediaType><title>Property Ineligibility - Water &amp; Environmental Program</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://eligibility.sc.egov.usda.gov/eligibility/welcomeAction.do</downloadURL><mediaType>text/html</mediaType><title>Housing Income Eligibility Calculator</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Resale Properties - Foreclosure</title><description>Data provides current information regarding single family homes and ranches for sale by the U.S. Federal Government. These previously owned properties are for sale by public auction or other method depending on the property.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2015-10-05</modified><identifier>USDA-RD-0004</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>michael.sutton@stl.usda.gov</emailAddress><fn>Michael Sutton</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:007</programCode><distribution><downloadURL>https://properties.sc.egov.usda.gov/resales/index.jsp</downloadURL><mediaType>text/html</mediaType><title>Properties for Sale</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Resale Properties - Real Estate Owned</title><description>Data provides current information regarding single family homes, and ranches for sale by the U.S. Federal Government. These previously owned properties are for sale by public auction or other method depending on the property.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/data_files.html</landingPage><modified>2015-10-05</modified><identifier>USDA-RD-005</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>michael.sutton@stl.usda.gov</emailAddress><fn>Michael Sutton</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:007</programCode><distribution><description>Properties for Sale</description><downloadURL>https://properties.sc.egov.usda.gov/resales/index.jsp</downloadURL><mediaType>text/html</mediaType><title>USDA-RD/FSA Properties</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Section 502 Guaranteed Loan Program Active Loans by Congressional District</title><description>Borrower, property and loan characteristics for all active Section 502 Guaranteed Loans, aggregated by Congressional District. Borrower characteristics include: income, debt-income ratio, race, ethnicity, marital status, dependents, household size, first-time homebuyer status, age and disability status. Property characteristics include: project type (PUD, Condo, Coop), housing structure (detached, attached), manufactured home, living area. Loan characteristics include: loan request amount, loan amount, loan-to-value ratio, and appraised value.Property characteristics include: project type (PUD, Condo, Coop), housing structure (detached, attached), manufactured home, living area. Loan characteristics include: loan request amount, loan amount, loan-to-value ratio, and appraised value.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P6M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/SFH.html</landingPage><modified>2016-07-05</modified><identifier>USDA-RD-035</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>karen.priestly@wdc.usda.gov</emailAddress><fn>Public Affairs Office</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><description>Borrower, property and loan characteristics for all active Section 502 Guaranteed Loans, aggregated by Congressional District.</description><downloadURL>http://www.sc.egov.usda.gov/data/files/SFH_Data/SFHG_Section_502_Guaranteed_By%20Congressional%20Dist%206.9.2016.csv</downloadURL><mediaType>text/csv</mediaType><title>USDA Rural Development Section 502 Guaranteed Loan Program Active Loans by Congressional District</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.sc.egov.usda.gov/data/files/SFH_Data/USDA%20Rural%20Housing%20Service_Single-family%20Housing%20Guaranteed_Public%20Data%20Dictionary_June%202016.pdf</downloadURL><mediaType>application/pdf</mediaType><title>USDA Rural Housing Service Single-Family Housing Guaranteed Public Data Dictionary - June 2016</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Section 502 Guaranteed Loan Program Active Loans by County</title><description>Borrower, property and loan characteristics for all active Section 502 Guaranteed Loans, aggregated by county. Borrower characteristics include: income, debt-income ratio, race, ethnicity, marital status, dependents, household size, first-time homebuyer status, age and disability status. Property characteristics include: project type (PUD, Condo, Coop), housing structure (detached, attached), manufactured home, living area. Loan characteristics include: loan request amount, loan amount, loan-to-value ratio, and appraised value.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P6M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/SFH.html</landingPage><modified>2016-07-05</modified><identifier>USDA-RD-034</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>karen.priestly@wdc.usda.gov</emailAddress><fn>Public Affairs Office</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><description>Borrower, property and loan characteristics for all active Section 502 Guaranteed Loans, aggregated by county.</description><downloadURL>http://www.sc.egov.usda.gov/data/files/SFH_Data/SFHG_Section_502_Guaranteed_%20By%20County%206.9.2016.csv</downloadURL><mediaType>text/csv</mediaType><title>USDA Rural Development Section 502 Guaranteed Loan Program Active Loans by County</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.sc.egov.usda.gov/data/files/SFH_Data/USDA%20Rural%20Housing%20Service_Single-family%20Housing%20Guaranteed_Public%20Data%20Dictionary_June%202016.pdf</downloadURL><mediaType>application/pdf</mediaType><title>USDA Rural Housing Service Single Family Guaranteed Public Data Dictionary - June 2016</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Section 538 Multifamily Guaranteed Loans as of 7.13.2016</title><description>Active loan characteristics in USDA RD Section 538 Multifamily Guaranteed Loan program, including loan, property, and community characteristics. Loan characteristics include obligation fiscal year, lender, borrower, loan closing date, loan amount, total development cost, loan to cost ratio, and federal LIHTC tax credit indicator. Property characteristics include location and address, colonias or tribal location indicator, EZ/EC location indicator, project size, project type, construction type, number of units by bedroom size, and average contract rent by bedroom size. Community characteristics include the area population and median household income at time of obligation.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P6M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/MFH.html</landingPage><modified>2016-07-14</modified><identifier>USDA-RD-042</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>karen.priestly@wdc.usda.gov</emailAddress><fn>Public Affairs Office</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><description>Active loan characteristics in USDA RD Section 538 Multifamily Guaranteed Loan program, including loan, property, and community characteristics. Loan characteristics include obligation fiscal year, lender, borrower, loan closing date, loan amount, total development cost, loan to cost ratio, and federal LIHTC tax credit indicator. Property characteristics include location and address, colonias or tribal location indicator, EZ/EC location indicator, project size, project type, construction type, number of units by bedroom size, and average contract rent by bedroom size. Community characteristics include the area population and median household income at time of obligation.</description><downloadURL>http://www.sc.egov.usda.gov/data/files/MFH_Section_538/USDA_RD_July_2016.CSV</downloadURL><mediaType>text/csv</mediaType><title>USDA RD Section 538 Multifamily Guaranteed Loans</title><type>dcat:Distribution</type></distribution><distribution><description>Public data dictionary describing the coding of variables for the USDA RD Section 538 Multifamily Guaranteed Loans dataset.</description><downloadURL>http://www.sc.egov.usda.gov/data/files/MFH_Section_538/Section_538_MFHG_Loan_Program_Public_Data_Dictionary_July_2016.pdf</downloadURL><mediaType>application/pdf</mediaType><title>USDA Section 538 Multifamily Guaranteed Loan Program_Public Data Dictionary_July 2016</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Single Family Section 502 Direct Active Borrowers by Congressional District</title><description>Active borrower characteristics aggregated at the Congressional District level of geography, including number of borrowers, income levels, race, ethnicity, marital status, number of children in household, and average household size.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P6M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/SFH.html</landingPage><modified>2016-07-14</modified><identifier>USDA-RD-039</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>karen.priestly@wdc.usda.gov</emailAddress><fn>Public Affairs Office</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><description>Active borrower characteristics aggregated at the Congressional District level of geography, including number of borrowers, income levels, race, ethnicity, marital status, number of children in household, and average household size.</description><downloadURL>http://www.sc.egov.usda.gov/data/files/SFH_Data/USDA%20Single%20Family%20Section%20502%20Direct_Borrowers%20by%20County%20as%20of%207.8.2016%20.csv</downloadURL><mediaType>text/csv</mediaType><title>USDA Rural Development Single Family Section 502 Direct Active Borrowers by Congressional District</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.sc.egov.usda.gov/data/files/SFH_Data/USDA%20Single%20Family%20Section%20502%20Direct_Data%20Dictionary_July%202016.pdf</downloadURL><mediaType>application/pdf</mediaType><title>SFHD 502 Data Dictionary</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Single Family Section 502 Direct Active Borrowers by County</title><description>Active borrower characteristics aggregated at the county level of geography, including number of borrowers, income levels, race, ethnicity, marital status, number of children in household, and average household size.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P6M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/SFH.html</landingPage><modified>2016-07-14</modified><identifier>USDA-RD-038</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>karen.priestly@wdc.usda.gov</emailAddress><fn>Public Affairs Office</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><downloadURL>http://www.sc.egov.usda.gov/data/files/SFH_Data/USDA%20Single%20Family%20Section%20502%20Direct_Borrowers%20by%20County%20as%20of%207.8.2016%20.csv</downloadURL><mediaType>text/csv</mediaType><title>USDA Rural Development Single Family Section 502 Direct Active Borrowers by County</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.sc.egov.usda.gov/data/files/SFH_Data/USDA%20Single%20Family%20Section%20502%20Direct_Data%20Dictionary_July%202016.pdf</downloadURL><mediaType>application/pdf</mediaType><title>SFHD 502 Data Dictionary</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Single Family Section 502 Direct Active Loans by Congressional District</title><description>Active loan characteristics aggregated at the Congressional District level of geography, including number of loans, average loan amount, average loan amount by 5 year ranges, number of loans to Section 523 Mutual Self Help Housing program participants, and number of leveraged loans.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P6M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/SFH.html</landingPage><modified>2016-07-14</modified><identifier>USDA-RD-040</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>karen.priestly@wdc.usda.gov</emailAddress><fn>Public Affairs Office</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><description>Active loan characteristics aggregated at the Congressional District level of geography, including number of loans, average loan amount, average loan amount by 5 year ranges, number of loans to Section 523 Mutual Self Help Housing program participants, and number of leveraged loans.</description><downloadURL>http://www.sc.egov.usda.gov/data/files/SFH_Data/USDA%20Single%20Family%20Section%20502%20Direct_Loans%20by%20Congressional%20District%20as%20of%207.8.2016.csv</downloadURL><mediaType>text/csv</mediaType><title>USDA Rural Development Single Family Section 502 Direct Active Loans by Congressional District</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.sc.egov.usda.gov/data/files/SFH_Data/USDA%20Single%20Family%20Section%20502%20Direct_Data%20Dictionary_July%202016.pdf</downloadURL><mediaType>application/pdf</mediaType><title>SFHD Section 502 Data Dictionary</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Rural Development Single Family Section 502 Direct Active Loans by County</title><description>Active loan characteristics aggregated at the county level of geography, including number of loans, average loan amount, average loan amount by 5 year ranges, number of loans to Section 523 Mutual Self Help Housing program participants, and number of leveraged loans.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P6M</accrualPeriodicity><landingPage>http://www.sc.egov.usda.gov/data/SFH.html</landingPage><modified>2016-07-14</modified><identifier>USDA-RD-037</identifier><publisher><name>Rural Development, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>karen.priestly@wdc.usda.gov</emailAddress><fn>Public Affairs Office</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:55</bureauCode><programCode>005:008</programCode><distribution><description>Active loan characteristics aggregated at the county level of geography, including number of loans, average loan amount, average loan amount by 5 year ranges, number of loans to Section 523 Mutual Self Help Housing program participants, and number of leveraged loans.</description><downloadURL>http://www.sc.egov.usda.gov/data/files/SFH_Data/USDA%20Single%20Family%20Section%20502%20Direct_Loans%20by%20County%20as%20of%207.8.2016.csv</downloadURL><mediaType>text/csv</mediaType><title>USDA Rural Development Single Family Section 502 Direct Active Loans by County</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://www.sc.egov.usda.gov/data/files/SFH_Data/USDA%20Single%20Family%20Section%20502%20Direct_Data%20Dictionary_July%202016.pdf</downloadURL><mediaType>application/pdf</mediaType><title>SFHD Section 502 Data Dictionary</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Agricultural Tariff Tracker</title><description>The Agricultural Tariff Tool is a web application that queries tariff schedules and rate information resulting from Free Trade Agreements (FTAs). All exporters/importers need to determine how competitive their product will be in a market. One of the key cost components is the import tariff that will be applied to a product by the importing country. The FAS Agricultural Tariff Tool will allow exporters/importers to quickly and easily determine the tariff rate that will be applied to their product by the importing country.</description><accessLevel>public</accessLevel><modified>2017-02-01</modified><identifier>USDA-27004</identifier><publisher><name>Foreign Agricultural Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>info@fas.usda.gov</emailAddress><fn>Foreign Agricultural Service</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:68</bureauCode><programCode>005:000</programCode><distribution><accessURL>https://apps.fas.usda.gov/agtarifftracker/Home/Search</accessURL><description>The Agricultural Tariff Tool is a web application that queries tariff schedules and rate information resulting from Free Trade Agreements (FTAs). All exporters/importers need to determine how competitive their product will be in a market. One of the key cost components is the import tariff that will be applied to a product by the importing country. The FAS Agricultural Tariff Tool will allow exporters/importers to quickly and easily determine the tariff rate that will be applied to their product by the importing country.</description><format>text/html</format><title>Agricultural Tariff Tracker</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Amounts of 2016 Dairy Products Available for Reallocation, by Commodity and Country</title><description>Amounts of 2016 Dairy Products Available for Reallocation, by Commodity and Country, as of October 1, 2016</description><accessLevel>public</accessLevel><modified>2017-01-18</modified><identifier>USDA-27002</identifier><publisher><name>Foreign Agricultural Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ronald.lord@fas.usda.gov</emailAddress><fn>Ronald Lord</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:68</bureauCode><programCode>005:000</programCode><distribution><accessURL>https://www.fas.usda.gov/programs/resources/amounts-2016-dairy-products-available-reallocation-commodity-and-country-october-1-2016</accessURL><description>Amounts of 2016 Dairy Products Available for Reallocation, by Commodity and Country, as of October 1, 2016</description><format>text/html</format><title>Amounts of 2016 Dairy Products Available for Reallocation, by Commodity and Country</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Amounts of 2016 Licenses Issued, by Commodity and Country</title><description>Amounts of 2016 Licenses Issued, by Commodity and Country</description><accessLevel>public</accessLevel><modified>2017-01-18</modified><identifier>USDA-27003</identifier><publisher><name>Foreign Agricultural Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ronald.lord@fas.usda.gov</emailAddress><fn>Ronald Lord</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:68</bureauCode><programCode>005:000</programCode><distribution><accessURL>https://www.fas.usda.gov/programs/resources/amounts-2016-licenses-issued-commodity-and-country</accessURL><description>https://www.fas.usda.gov/programs/resources/amounts-2016-licenses-issued-commodity-and-country</description><format>text/html</format><title>https://www.fas.usda.gov/programs/resources/amounts-2016-licenses-issued-commodity-and-country</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Crop Explorer</title><description>Global crop production analysis</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>Africa, Asia, Europe, Middle East, North America, South America, World</spatial><identifier>USDA-26291</identifier><publisher><name>Foreign Agricultural Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Ronald.Frantz@fas.usda.gov</emailAddress><fn>Ron Frantz</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:68</bureauCode><programCode>005:000</programCode><distribution><downloadURL>http://www.pecad.fas.usda.gov/cropexplorer/Default.aspx</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Export Sales Reporting</title><description>Information on US export sales, by commodity and country of destination, updated weekly.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1D</accrualPeriodicity><issued>1999-01-01</issued><license>https://creativecommons.org/licenses/by/4.0</license><modified>2015-03-12</modified><spatial>Global</spatial><identifier>USDA-26351</identifier><publisher><name>Foreign Agricultural Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>esr@fas.usda.gov</emailAddress><fn>Pete Burr</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:68</bureauCode><programCode>005:000</programCode><distribution><downloadURL>http://apps.fas.usda.gov/esrquery/esrq.aspx</downloadURL><mediaType>text/html</mediaType><title>Export Sales Query System Query Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Global Agricultural Information Network</title><description>Information reports on agricultural situations in more than 130 countries submitted by overseas offices of USDA's Foreign Agricultural Service</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1D</accrualPeriodicity><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>Global</spatial><identifier>USDA-26461</identifier><publisher><name>Foreign Agricultural Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>1-GAINAppSupport@fas.usda.gov</emailAddress><fn>Lee Schartz</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:68</bureauCode><programCode>005:000</programCode><distribution><downloadURL>http://gain.fas.usda.gov/Lists/Advanced%20Search/AllItems.aspx</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Global Agricultural Trade System</title><description>Trade data from US Census Bureau as defined by USDA Foreign Agricultural Service groupings</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><license>https://creativecommons.org/licenses/by/4.0</license><modified>2015-03-12</modified><spatial>Global</spatial><identifier>USDA-26321</identifier><publisher><name>Foreign Agricultural Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>GATShelp@fas.usda.gov</emailAddress><fn>Jon Heal</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:68</bureauCode><programCode>005:000</programCode><distribution><downloadURL>http://apps.fas.usda.gov/gats/</downloadURL><mediaType>text/html</mediaType><title>Global Agricultural Trade Sytem Home Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Listing of Dairy License Recipients Under Regulation 1</title><description>Listing of Dairy License Recipients Under Regulation 1 (as of March 2016)</description><accessLevel>public</accessLevel><modified>2017-01-18</modified><identifier>USDA-27001</identifier><publisher><name>Foreign Agricultural Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ronald.lord@fas.usda.gov</emailAddress><fn>Ronald Lord</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:68</bureauCode><programCode>005:000</programCode><distribution><description>Listing of Dairy License Recipients Under Regulation 1 (as of March 2016)</description><downloadURL>https://www.fas.usda.gov/sites/default/files/2017-01/list_of_licenses_issued_march_2016.xlsx</downloadURL><format>text/xml</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><title>Listing of Dairy License Recipients Under Regulation 1</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Listing of Dairy License Recipients Under Regulation 1</title><description>Listing of Dairy License Recipients Under Regulation 1 (as of March 2016)</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1Y</accrualPeriodicity><describedByType>text/csv</describedByType><modified>2016-01-18</modified><identifier>USDA-2635111</identifier><publisher><subOrganization><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher></subOrganization><name>Foreign Agricultural Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ronald.lord@fas.usda.gov</emailAddress><fn>Ronald Lord</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:68</bureauCode><programCode>005:000</programCode><categories>dairy licenses</categories><distribution><description>Listing of Dairy License Recipients Under Regulation 1 (as of March 2016)</description><downloadURL>https://www.fas.usda.gov/sites/default/files/2017-01/list_of_licenses_issued_march_2016.xlsx</downloadURL><format>XLSX</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><title>Listing of Dairy License Recipients Under Regulation 1</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Production, Supply, and Distribution Database</title><description>Official USDA data on production, supply, and distribution of agricultural commodities for the United States and key producing and consuming countries.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P1M</accrualPeriodicity><landingPage>http://apps.fas.usda.gov/psdonline</landingPage><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-04-01</modified><spatial>Global</spatial><identifier>USDA-26341</identifier><publisher><name>Foreign Agricultural Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>psdonline@fas.usda.gov</emailAddress><fn>Jeet Motwani</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:68</bureauCode><programCode>005:000</programCode><distribution><description>This database contains current and historical official USDA data on production, supply and distribution of agricultural commodities for the United States and key producing and consuming countries.</description><downloadURL>http://apps.fas.usda.gov/psdonline</downloadURL><mediaType>text/html</mediaType><title>PSD Online Home Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Quarterly Agricultural Export Forecast</title><description>USDA quarterly forecasts for U.S. agricultural exports, in value and volume, by commodity and region</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P3M</accrualPeriodicity><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>Global</spatial><identifier>USDA-26311</identifier><publisher><name>Foreign Agricultural Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>oliver.flake@fas.usda.gov</emailAddress><fn>Oliver Flake</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:68</bureauCode><programCode>005:000</programCode><distribution><downloadURL>http://usda.mannlib.cornell.edu/MannUsda/viewDocumentInfo.do?documentID=1196</downloadURL><mediaType>text/html</mediaType><title>Web Page</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>World Agricultural Production</title><description>Monthly report on crop acreage, yield and production in major countries worldwide. Sources include reporting from FAS’s worldwide offices, official statistics of foreign governments, and analysis of economic data and satellite imagery.</description><accessLevel>public</accessLevel><modified>2014-08-01</modified><identifier>USDA-FAS-0010</identifier><publisher><name>Foreign Agricultural Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>paul.provance@fas.usda.gov</emailAddress><fn>International Production Assessment Division</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:68</bureauCode><programCode>005:042</programCode><distribution><description>Monthly report on crop acreage, yield and production in major countries worldwide. Sources include reporting from FAS’s worldwide offices, official statistics of foreign governments, and analysis of economic data and satellite imagery.</description><downloadURL>http://apps.fas.usda.gov/psdonline/circulars/production.pdf</downloadURL><mediaType>application/pdf</mediaType><title>World Agricultural Production</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>https://inventory.data.gov/dataset/a4bb2733-5ab4-479e-96f3-5fe7f839c93e/resource/e47689e1-6c62-4611-9574-c0ba88cd7570/download/worldagriculturalproductionaug2014.pdf</downloadURL><mediaType>application/pdf</mediaType><title>World Agricultural Production Aug 2014</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>2013 WIC Vendor Management Study</title><description>This study is part of a larger FNS effort to ensure WIC program integrity and to comply with the Improper Payments Information Act of 2002 (IPIA) (Public Law 107-300), which requires FNS to estimate improper payments (IP) in its programs. To evaluate program integrity, the 2013 report includes two complementary studies: A study, comparable to the 1998 and 2005 WIC Vendor Management Studies, which examined purchases made through compliance buys using paper- or Electronic Benefit Transfer (EBT)-based FIs, and a cash value voucher study, which examined purchases made through compliance buys using the CVVs or, in the case of EBT, cash value benefits (CVBs) to purchase fruits and vegetables.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2013-11-21</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-48</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Webmaster</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/2013WICVendor.pdf</downloadURL><mediaType>application/pdf</mediaType><title>2013 WIC Vendor Management Study</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Able-Bodied Adults Without Dependents (ABAWDs) rules</title><description>Most SNAP participants who can work, do work. SNAP rules require all recipients meet work requirements unless they are exempt because of age or disability or another specific reason. Children, seniors, and those with disabilities comprise almost two-thirds of all SNAP participants. Among households that include someone who is able to work, more than 75 percent* had a job in year before or after receiving SNAP. Forty-three percent of SNAP participants live in a household with earnings. &#13;
&#13;
Some of these working individuals are ABAWDs, or able-bodied adults without dependents. ABAWDs must meet special work requirements, in addition to the general work requirements, to maintain their eligibility.&#13;
&#13;
An ABAWD is a person between the ages of 18 and 49 who has no dependents and is not disabled. ABAWD stands for Able Bodied Adult Without Dependents.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2016-01-14</modified><identifier>USDA-FNS-107</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Sasha.Gersten-Paal@fns.usda.gov</emailAddress><fn>Sasha Gersten-Paal</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><accessURL>https://www.fns.usda.gov/snap/able-bodied-adults-without-dependents-abawds</accessURL><format>pdf</format><title>ABAWD Waiver Status</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Addressing Child Hunger and Obesity in Indian Country: Report to Congress</title><description>This report responds to requirements found in the Healthy, Hunger-Free Kids Act of 2010 (HHFKA) and summarizes hunger, obesity, and Type II diabetes among American Indian and Alaska Native children living on or near reservations or other tribal lands (Indian Country). The report provides a summary of available statistics on hunger, obesity, and Type II diabetes among children living in Indian Country and offers comparable statistics for the general population for context and comparison.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2012-01-12</modified><rights>Public</rights><identifier>USDA-FNS-83</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><description>Addressing Child Hunger and Obesity in Indian Country: Report to Congress</description><downloadURL>http://www.fns.usda.gov/sites/default/files/IndianCountry.pdf</downloadURL><format>PDF</format><mediaType>application/pdf</mediaType><title>Addressing Child Hunger and Obesity in Indian Country: Report to Congress</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Approaches for Promoting Healthy Food Purchases by SNAP Participants Project</title><description>Due to the United States' high rates of obesity and diet-related chronic diseases, this project aims to develop a plan for front of package (FOP) and shelf-labeling systems that identifies healthy choices, develops theory-based approaches that leverage FOP and shelf-labeling systems to promote healthier food purchases by SNAP participants, and identifies further exploration through the implementation and testing of a future pilot study.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-07-14</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-69</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/ICF-IHC-Final-Report-0714.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Approaches for Promoting Healthy Food Purchases by Supplemental Nutrition Assistance Program Participants Project</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Calculating the SNAP Program Access Index: A Step-By-Step Guide for 2012</title><description>The Program Access Index (PAI) is one of the measures the USDA Food and Nutrition Service (FNS) uses to reward States for high performance in the administration of the Supplemental Nutrition Assistance Program (SNAP). The Farm Security and Rural Investment Act of 2002 (also known as the 2002 Farm Bill) directed USDA to establish a number of indicators of effective program performance and to award bonus payments to States with the best and most improved performance. The PAI is designed to indicate the degree to which low-income people have access to SNAP benefits.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-02-19</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-45</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Webmaster</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>https://www.fns.usda.gov/snap/calculating-supplemental-nutrition-assistance-program-snap-program-access-index-step-step-guide</downloadURL><mediaType>application/pdf</mediaType><title>Calculating the SNAP Program Access Index: A Step-By-Step Guide for 2012</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Characteristics of SNAP Households: Fiscal Year 2012</title><description>This annual report provides details on the demographic characteristics and economic circumstances of SNAP households at both the national and the State level. In 2012, one-person households comprised more than half the caseload (50.3 percent) and the average SNAP household benefit declined by $7 to $274.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-02-14</modified><rights>Public</rights><identifier>USDA-FNS-44</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Webmaster</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/2012Characteristics.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Characteristics of SNAP Households: Fiscal Year 20 12</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Child Nutrition Programs Disaster Response Memo</title><description>This memorandum provides an overview of ways State agencies, School Food Authorities (SFA) participating in the National School Lunch and School&#13;
Breakfast Programs (NSLP and SBP), institutions participating in the Child and Adult Care Food Program (CACFP), and sponsors participating in the&#13;
Summer Food Service Program (SFSP) can respond to situations&#13;
resulting from damage or disruptions due to natural disasters such as&#13;
hurricanes, tornadoes, and floods. State agencies should review the avenues available to prepare and plan before a disaster strikes so responses can be as swift as possible.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><issued>2012-04-10</issued><modified>2012-04-10</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-24</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/SP25_CACFP12_SFSP10-2012.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Child Nutrition Programs Disaster Response Memo</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Child and Adult Care Food Participation, Meals, and Cost Data</title><description>Child and Adult Care Food Participation plays a vital role in improving the quality of day care for children and elderly adults by making care more affordable for many low-income families. Through CACFP, nearly 3 million children and 90,000 adults receive nutritious meals and snacks each day as part of the day care they receive. The data set contains participation; meals served, and cash payments to states.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P3M</accrualPeriodicity><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States</spatial><identifier>USDA-FNS-00006</identifier><publisher><name>Food and Nutrition Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Tim.Kreh@fns.usda.gov</emailAddress><fn>Tim Kreh</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/pd/ccsummar.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Child and Adult Care Food Participation, Meals, and Cost Data</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Child and Adult Care Food Program (CACFP): Assessment of Sponsor Tiering Determinations</title><description>The (CACFP) provides reimbursements for nutritious meals and snacks served in family day care homes, child care centers, and other participating facilities and programs. This assessment examines the accuracy of the classification of Family Day Care Homes (FDCHs) participating in the U.S. Department of Agriculture's (USDA) Child and Adult Care Food Program. The assessment provides estimates of the number of FDCHs misclassified by sponsoring agencies into the wrong tier and the resulting erroneous payments for meals and snacks reimbursed at the wrong rate for program year 2013.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-09-14</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-67</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:055</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/CACFPTiering13.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Child and Adult Care Food Program (CACFP): Assessment of Sponsor Tiering Determinations</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Child and Adult Care Program Monthly Data</title><description>This dataset provides the monthly data for Child and Adult Care Program.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2015-11-06</modified><identifier>USDA-FNS-104</identifier><publisher><subOrganization><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher></subOrganization><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Tim.Kreh@fns.usda.gov</emailAddress><fn>Tim Kreh</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><accessURL>http://www.fns.usda.gov/sites/default/files/pd/33cc_monthly.pdf</accessURL><title>Child and Adult Care Program Monthly Data</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Commodity Supplemental Food Program: Total Participation</title><description>Provide Persons participating in Commodity Supplemental Food Program on State level.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-08-08</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-52</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:055</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/pd/20csfp.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Commodity Supplemental Food Program: Total Participation</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Community Eligibility Provision Evaluation</title><description>The Healthy, Hunger-Free Kids Act (HHFKA) provided schools and districts that predominately serve low-income children with a new option for meal certification. Under the Community Eligibility Provision, schools do not collect or process meal applications for free and reduced-price meals served in the National School Lunch Program and School Breakfast Program. Schools must serve all meals at no cost with any costs in excess of the Federal reimbursement paid from non-Federal sources. The evaluation, mandated by HHFKA, examined the implementation and impacts of the Community Eligibility Provision.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-02-11</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-58</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:055</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/CEPEvaluation.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Community Eligibility Provision Evaluation</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Cost of Food Distribution Programs</title><description>Provide cost of Nutrition Services Incentive Program (NSIP--formerly Nutrition Program for the Elderly), Food Distribution on Indian Reservations (FDPIR), Commodity Supplemental Food (CSFP), Emergency Food Assistance (TEFAP) programs.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-08-08</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-54</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:055</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/pd/fd$sum.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Cost of Food Distribution Programs</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Cost of Living Adjustment (COLA) Information</title><description>We adjust SNAP maximum allotments, deductions, and income eligibility standards at the beginning of each Federal fiscal year. The changes are based on changes in the cost of living. COLAs take effect on October 1 each year.&#13;
&#13;
Maximum allotments are calculated from the cost of a market basket based on the Thrifty Food Plan for a family of four, priced in June that year. The maximum allotments for households larger and smaller than four persons are determined using formulas that account for economies of scale. Smaller households get slightly more per person than the four-person household. Larger households get slightly less.&#13;
&#13;
Income eligibility standards are set by law. Gross monthly income limits are set at 130 percent of the poverty level for the household size. Net monthly income limits are set at 100 percent of poverty.</description><accessLevel>public</accessLevel><modified>2014-09-25</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-19</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>http://www.fns.usda.gov/snap/cost-living-adjustment-cola-information</downloadURL><mediaType>text/htm</mediaType><title>Cost of Living Adjustment (COLA) Information</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Daily Food Plan for Preschoolers</title><description>A daily food plan shows what and how much your child should eat to meet his or her needs. You can create an eating plan for your preschooler using the SuperTracker's MyPlan. You will be asked to create a profile using your child’s information. You can register to save the profile if you want to. &#13;
Use the Plan as a general guide to help you feed your child. It will show what and how much to offer your child to meet his or her needs.</description><accessLevel>public</accessLevel><modified>2014-07-23</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-15</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jackie.Haven@fns.usda.gov</emailAddress><fn>Jackie Haven</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:057</programCode><distribution><accessURL>http://www.choosemyplate.gov/preschoolers-daily-food-plans</accessURL><title>Daily Food Plan for Preschoolers</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Dietary Guidelines for Americans, 2010</title><description>The new 2010 Dietary Guidelines for Americans focus on balancing calories with physical activity, and encourage Americans to consume more healthy foods like vegetables, fruits, whole grains, fat-free and low-fat dairy products, and seafood, and to consume less sodium, saturated and trans fats, added sugars, and refined grains.</description><accessLevel>public</accessLevel><modified>2010-12-15</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-13</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jackie.Haven@fns.usda.gov</emailAddress><fn>Jackie Haven</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:057</programCode><distribution><accessURL>http://www.health.gov/dietaryguidelines/dga2010/DietaryGuidelines2010.pdf</accessURL><title>Dietary Guidelines for Americans, 2010</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Disaster SNAP Guidance</title><description>This handbook describes D - SNAP policy, provides lessons learned from previous D-SNAPs, and contains toolkits to help SNAP offices plan for, organize, and operate a D-SNAP.</description><accessLevel>public</accessLevel><modified>2013-04-04</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-21</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/D-SNAP_handbook.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Disaster SNAP Guidance</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Disaster SNAP Tool Kit</title><description>Disaster SNAP Tool Kit</description><accessLevel>public</accessLevel><modified>2013-04-04</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-22</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/D-SNAP_Guidance_Handbook_Toolkit.pdf</downloadURL><mediaType>application/pdf</mediaType><title>DSNAP Tool Kit</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Disaster Supplemental Nutrition Assistance Program Income Eligibility Standards and Allotments</title><description>This dataset provides information about disaster Supplemental Nutrition Assistance Program (SNAP) income eligibility standards and allotments based on household size.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-01-24</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-25</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>https://www.fns.usda.gov/sites/default/files/disaster/FY17-Disaster-Income-Eligibility-Standards-and-Allotments.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Disaster Supplemental Nutrition Assistance Program Income Eligi bility Standards and Allotments</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Dynamics and Determinants of Supplemental Nutrition Assistance Program Participation from 2008-2012</title><description>This report describes the dynamics of the Supplemental Nutrition Assistance Program participation from 2008-2012. It describe individuals’ patterns of SNAP participation and analyze which factors were associated with their decisions to enter or exit the program. It uses data from the U.S. Census Bureau’s Survey of Income and Program Participation covering the period from 2008 to 2012.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-12-15</modified><rights>Public</rights><identifier>USDA-FNS-91</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><accessURL>http://www.fns.usda.gov/sites/default/files/ops/Dynamics2008-2012.pdf</accessURL><format>PDF</format><title>Dynamics and Determinants of Supplemental Nutrition Assistance Program Participation from 2008-2012</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Empirical Bayes Shrinkage Estimates of State SNAP Participation Rates</title><description>This report presents estimates that, for each state, measure the need for SNAP and the program’s effectiveness in each of the three years from 2009 to 2011.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-03-11</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-41</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Webmaster</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/techpartrate2009-2011.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Empirical Bayes Shrinkage Estimates of State Supplemental Nutrition assistance Program Participation Rates in 2009-2011</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Evaluation of the Elementary Schools Pilot Project for Canned, Frozen, or Dried Fruits and Vegetables</title><description>This report presents results from a pre/post study comparing the fall of 2014 with the spring of 2015, to evaluate the impacts of a Pilot project under which States had the option to serve canned, frozen, and dried fruits and vegetables.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2017-01-24</modified><identifier>USDA-FNS-123</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:055</programCode><distribution><accessURL>https://www.fns.usda.gov/evaluation-elementary-schools-pilot-project-canned-frozen-or-dried-fruits-and-vegetables-fresh</accessURL><format>pdf</format><title>Evaluation of the Elementary Schools Pilot Project for Canned, Frozen, or Dried Fruits and Vegetables in the Fresh Fruits and Vegetable Program</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Evaluation of the Healthy Incentives Pilot (HIP) Final Report-Summary</title><description>This final report summary describes the background, methods, and findings of the Healthy Incentives Pilot (HIP). This pilot project enabled SNAP participants to receive an incentive of 30 cents for every SNAP dollar spent on targeted fruits and vegetables at participating retailers. The comprehensive data concluded that HIP participants consumed 26 percent more of targeted fruits and vegetables compared to non-participants. The summary report also details the implications for HIP retailer participants and total costs.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-09-14</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-66</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/HIP-Final-Summary.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Evaluation of the Healthy Incentives Pilot (HIP) Final Report-Summary</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Examining the Growth of Zero-Income SNAP Caseload: Characteristics, Circumstances, and Dynamics of Zero-Income SNAP Participants</title><description>This study describes the characteristics, circumstances, and participation and income dynamics of zero-income SNAP households and seeks to assess whether economic and policy changes may have affected this growth.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-10-15</modified><rights>Public</rights><identifier>USDA-FNS-89</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><accessURL>http://www.fns.usda.gov/sites/default/files/ops/ZeroIncome-Vol1.pdf</accessURL><format>PDF</format><title>Examining the Growth of Zero-Income SNAP Caseload: Characteristics, Circumstances, and Dynamics of Zero-Income SNAP Participants</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Expenditures on Children by Families</title><description>This dataset provides expenditures on Children by Families provides estimates of the cost of raising children from birth through age 17 for major budgetary components.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P3M</accrualPeriodicity><modified>2014-08-16</modified><spatial>United States</spatial><identifier>USDA-FNS-00002</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Mark.Lino@cnpp.usda.gov</emailAddress><fn>Mark Lino</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:057</programCode><distribution><downloadURL>http://www.cnpp.usda.gov/sites/default/files/expenditures_on_children_by_families/crc2013.pdf</downloadURL><mediaType>application/pdf</mediaType><title>PDF File</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>FNS Regional Offices</title><description>This dataset lists all FNS regional offices as well as contact information for administrator and director's offices.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2015-12-30</modified><identifier>USDA-FNS-108</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Webmaster</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><description>Webpage</description><downloadURL>http://www.fns.usda.gov/fns-regional-offices</downloadURL><format>html</format><mediaType>text/html</mediaType><title>FNS Regional Offices</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>FNS Regions</title><description>This dataset provides location and contact information for FNS regions.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2015-06-25</modified><identifier>USDA-FNS-95</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Webmaster</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><accessURL>http://www.fns.usda.gov/fns-regional-offices</accessURL><format>html</format><title>FNS regional offices</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>FNS USDA Food Programs Disaster Manual</title><description>This manual contains important information for persons in Food and Nutrition Service (FNS) Headquarters, FNS Regional Offices, and Distributing Agencies (DA), which include State Distributing Agencies, and Indian Tribal Organizations that are charged with the responsibility of providing USDA Foods (formerly known as USDA commodities or donated food) to disaster relief organizations in the event of a disaster, emergency, or situation of distress.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2011-04-01</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-27</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Webmaster</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/FDDDisasterManual.pdf</downloadURL><mediaType>application/pdf</mediaType><title>FNS-USDA Foods Program Disaster Manual</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>FNS' Food Assistance Program Cost Information Report</title><description>This report contains key data regarding the cost of FNS' food assistance programs. The report summarizes data submitted by various reporting agencies for the United States during fiscal year 2013 and fiscal year 2014.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-06-15</modified><rights>Public</rights><identifier>USDA-FNS-81</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Tim.Kreh@fns.usda.gov</emailAddress><fn>Tim Kreh</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:055</programCode><distribution><description>FNS' Food Assistance Program Cost Information Report</description><downloadURL>http://www.fns.usda.gov/sites/default/files/datastatistics/Keydata-June-2014.pdf</downloadURL><format>PDF</format><mediaType>application/pdf</mediaType><title>FNS' Food Assistance Program Cost Information Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Farm to School Census</title><description>The Healthy, Hunger-Free Kids Act of 2010 (HHFKA) formally established a Farm to School Program within USDA to improve access to local foods in schools. In order to establish realistic goals with regard to increasing the availability of local foods in schools, in 2013, USDA conducted the first nationwide Farm to School Census (the Census). In 2015, USDA conducted a second Farm to School Census to measure progress towards reaching this goal.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2016-05-22</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-37</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Matthew.Benson@fns.usda.gov</emailAddress><fn>Matthew Benson</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><accessURL>https://farmtoschoolcensus.fns.usda.gov</accessURL><title>farm-to-school-census</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Farm to School Census Explorer Tool</title><description>This dataset allows users to drill-down into the data from the USDA Farm to School Census. Once you’ve conducted your query, you can easily download your results in an excel file.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-05-15</modified><identifier>USDA-FNS-94</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><accessURL>https://farmtoschoolcensus.fns.usda.gov/find-your-school-district</accessURL><format>xls</format><title>Farm to School Census Explorer Tool</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Farm to School Contacts</title><description>This dataset provides contact information for Farms to School for each state.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2015-01-22</modified><identifier>USDA-FNS-96</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Webmaster</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><accessURL>http://www.fns.usda.gov/farmtoschool/farm-school-contacts</accessURL><format>html</format><title>Farm to School Contacts</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Farmers Market Incentive Provider Study</title><description>To encourage Supplemental Nutrition Assistance Program participants to shop at farmers markets, various organizations have been providing financial incentives to participants who redeem SNAP benefits at participating farmers markets. This report is meant to be the first systematic study of the roles different organizations play in designing and implementing SNAP based incentive programs, how they choose markets for their programs, and how they evaluate success of their programs.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-03-13</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-39</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Webmaster</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/FarmersMarketIncentiveProvider.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Farmers Market Incentive Provider Study</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Federal Cost of School Food Program Data</title><description>The mission of FNS is to provide children and needy families better access to food and a more healthful diet through its food assistance programs and comprehensive nutrition education efforts. These dataset provides a summary of all the FNS School Food Program combined into one dataset. It contains cash payments and commodity costs for the National School Lunch Program, School Breakfast Program and the Special Milk Program. (format: html, xls)</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P3M</accrualPeriodicity><modified>2014-02-24</modified><spatial>United States</spatial><identifier>USDA-FNS-00008</identifier><publisher><name>Food and Nutrition Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Tim.Kreh@fns.usda.gov</emailAddress><fn>Tim Kreh</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/pd/cncost.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Federal Cost of School Food Program Data</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Find Summer Meals in Your Community</title><description>Nutritious free meals are available for children and teens 18 and younger at many locations throughout the nation throughout the summer while school is out of session. This mapping tool helps to find a site near you.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2015-06-15</modified><identifier>USDA-FNS-92</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Kevin.Russ@fns.usda.gov</emailAddress><fn>Kevin Russ</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><accessURL>http://www.fns.usda.gov/summerfoodrocks</accessURL><title>Find Summer Meals in Your Community</title><type>dcat:Distribution</type></distribution><distribution><accessURL>http://www.fns.usda.gov/summerfoodrocks</accessURL><format>API</format><title>Find Summer Meals in Your Community</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Food Distribution Program on Indian Reservations Program Fact Sheet</title><description>This fact sheet describes what FDPIR is, who is eligible for the program, and what foods are available through the program. The fact sheet also provides the number of participants, information about health and nutrition, and resources for supplemental information.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-07-14</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-73</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:055</programCode><distribution><downloadURL>https://www.fns.usda.gov/sites/default/files/fdpir/pfs-fdpir.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Food Distribution Program on Indian Reservations Program Fact Sheet</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Food Distribution Program on Indian Reservations: Persons Participating</title><description>Provide Persons participating in Food Distribution Program on Indian Reserves on State level.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-08-08</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-53</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:055</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/pd/21irpart.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Food Distribution Program on Indian Reservations: Persons Participating</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Food-a-pedia</title><description>Find the calorie content of any food or beverage using the Food-a-pedia, looking at the Nutrition Facts label, or checking product or restaurant websites</description><accessLevel>public</accessLevel><modified>2014-07-14</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-16</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jackie.Haven@fns.usda.gov</emailAddress><fn>Jackie Haven</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:057</programCode><distribution><downloadURL>https://www.supertracker.usda.gov/foodapedia.aspx</downloadURL><mediaType>text/html</mediaType><title>Food-a-pedia</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Frozen Fruit Products in the National School Lunch and School Breakfast Programs in School Year 2014-2015 Memo</title><description>This memorandum extends the provisions to serve frozen fruit with added sugar in the National School Lunch Program (NSLP) published on September 11, 2012. The memo describes the standards that frozen fruit served as part of the national school lunch and school breakfast programs needs to meet.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2013-06-25</modified><rights>Public</rights><identifier>USDA-FNS-86</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><description>Frozen Fruit Products in the National School Lunch and School Breakfast Programs in School Year 2014-2015 Memo</description><downloadURL>https://fns-prod.azureedge.net/sites/default/files/cn/SP49-2013os.pdf</downloadURL><format>PDF</format><mediaType>application/pdf</mediaType><title>Frozen Fruit Products in the National School Lunch and School Breakfast Programs in School Year 2014-2015 Memo</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>HUSSC Award Winning Schools</title><description>Schools have the opportunity to become certified as Bronze, Silver, Gold, or Gold of Distinction Schools, depending on meeting certain criteria. We are pleased to share the names of those schools that have achieved certification as a Bronze, Silver, Gold, or Gold of Distinction School.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2015-06-05</modified><identifier>USDA-FNS-93</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><accessURL>http://www.fns.usda.gov/hussc/award-winning-schools</accessURL><description>HUSSC Award Winning Schools</description><title>HUSSC Award Winning Schools</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Healthy Access Locator</title><description>Healthy Access Locator map can be used to view schools that have received a Healthier US Schools Challenge Award (HUSSC). To get started, click on Search Awards and enter your search criteria. When the information displays on the map, you can click a star for additional details or see a summary of your results below the map. You can also use the Data Layers feature to display different data layers on obesity and diabetes prevalence, SNAP Participation Rates, and SNAP Outreach Plans by states. (HUSSC Awards as of May 30, 2013).</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2013-08-11</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-29</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Webmaster</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>http://www.fns.usda.gov/healthy-access-locator</downloadURL><mediaType>text/html</mediaType><title>Healthy Access Locator</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Information and Guidance on the Domestic Beef Market</title><description>This memorandum provides information and guidance to State agencies and School Food Authorities (SFAs) on the current status of the domestic beef market. Despite an increase in wholesale prices for ground beef, the USDA is continually encouraging schools to purchase and use beef in their menus as a good source of lean protein. The USDA is also offering guidance on ways that schools can ensure the resources needed to provide students with healthy, balanced meals.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-09-22</modified><rights>Public</rights><identifier>USDA-FNS-78</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><description>Information and Guidance on the Domestic Beef Market</description><downloadURL>http://www.fns.usda.gov/sites/default/files/fdd/SP66-2014s.pdf</downloadURL><format>PDF</format><mediaType>application/pdf</mediaType><title>Information and Guidance on the Domestic Beef Market</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Local School Wellness Policy Outreach Toolkit</title><description>Engage school staff and parents in school wellness using these ready-to-go communication tools. Sharing news about your Local School Wellness Policy is easy with these flyers, presentations, newsletter articles, and social media posts. Your school can personalize them to make them specific to your Local School Wellness Policy activities.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2016-11-21</modified><identifier>USDA-FNS-120</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><accessURL>http://www.fns.usda.gov/tn/local-school-wellness-policy-outreach-toolkit</accessURL><format>html</format><title>Local School Wellness Policy Outreach Toolkit</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Measuring the Effect of SNAP Participation on Food Security</title><description>SNAP is designed to reduce food insecurity – reduced food intake or disrupted eating patterns in a household due to lack of money or other resources – but data quantifying this effect is limited. The objectives of this study were to: Assess how food security and food expenditures vary with SNAP participation. Examine how relationships between SNAP and food security and between SNAP and food expenditures vary by household characteristics and circumstances. Estimating the effect of SNAP on food insecurity using household survey data is challenging because households that choose to participate in SNAP can differ in systematic ways from households that do not participate, making it hard to distinguish the impact of SNAP from these other factors. This study sought to control for the SNAP participation “selection bias” by comparing information collected from households within days of entering the program (new entrants) to information obtained after about 6 months of participation.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2013-08-16</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-42</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Webmaster</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/Measuring2013.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Measuring the Effect of SNAP Participation on Food Security</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>My Cookbook</title><description>My Cookbook is an online tool that helps you compile your favorite recipes in one central place and search SNAP, household, and quantity recipes. You can also submit personal recipes to the repository and browse submitted cookbooks. My Cookbook also provides USDA Foods Fact Sheets.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-08-08</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-64</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>http://www.whatscooking.fns.usda.gov/cookbook</downloadURL><mediaType>text/html</mediaType><title>My Cookbook</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>MyPyramid Food Raw Data</title><description>MyPyramid Food Data provides information on the total calories; calories from solid fats, added sugars, and alcohol (extras); MyPyramid food group and subgroup amounts; and saturated fat content of over 1,000 commonly eaten foods with corresponding commonly used portion amounts. This information is key to help consumers meet the recommendations of the Dietary Guidelines for Americans and manage their weight by understanding how many calories are consumed from "extras." CNPP has created an interactive tool from this data set available on the web at MyFood-a-pedia.gov. A mobile version is coming soon to provide consumers with assistance on-the-go.</description><accessLevel>public</accessLevel><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States</spatial><identifier>USDA-FNS-00001</identifier><publisher><name>Food and Nutrition Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>angela.leone@fns.usda.gov</emailAddress><fn>Angela Leone</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:057</programCode><distribution><downloadURL>https://inventory.data.gov/dataset/794cd3d7-4d28-4408-8f7d-84b820dbf7f2/resource/6b78ec0c-4980-4ad8-9cbd-2d6eb9eda8e7/download/myfoodapediadata.zip</downloadURL><format>zip</format><mediaType>application/zip</mediaType><title>MyPyramid Food Raw Data</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National School Lunch Assistance Program Participation and Meals Served Data</title><description>The National School Lunch Program (NSLP) is a federally assisted meal program operating in public and nonprofit private schools and residential child care institutions. It provides nutritionally balanced, low-cost or free lunches to children each school day. Information in this dataset consists of participation and lunches served.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P3M</accrualPeriodicity><modified>2014-02-24</modified><spatial>United States</spatial><identifier>USDA-FNS-00010</identifier><publisher><name>Food and Nutrition Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Tim.Kreh@fns.usda.gov</emailAddress><fn>Tim Kreh</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/pd/slsummar.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>National School Lunch Assistance Program Participation and Meals Served Data</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National School Lunch Program Direct Certification Improvement Study</title><description>This study describes current methods of direct certification used by State and local agencies and the challenges that State and local education agencies face in attaining high matching rates. The study presents the analysis of unmatched records in order to provide a better understanding of the categorically eligible children who are not matched in the direct certification process and identifies potential matching process improvements that might increase the number of matched children.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-08-17</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-71</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/ops/NSLPDirectCertificationImprovement.pdf</downloadURL><mediaType>application/pdf</mediaType><title>National School Lunch Program Direct Certification Improvement Study</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National School Lunch Program Monthly Data</title><description>This dataset provides the monthly data for National School Lunch Program.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2015-11-06</modified><identifier>USDA-FNS-102</identifier><publisher><subOrganization><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher></subOrganization><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Tim.Kreh@fns.usda.gov</emailAddress><fn>Tim Kreh</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><accessURL>http://www.fns.usda.gov/sites/default/files/pd/36slmonthly.pdf</accessURL><title>National School Lunch Program Monthly Data</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National School Lunch Program: State Implementation Progress, School Year 2012–2013: Report to Congress</title><description>This report responds to the requirement of Public Law 110-246 to assess the effectiveness of State and local efforts to directly certify children for free school meals. Direct certification is a process conducted by the States and by local educational agencies (LEAs) to certify eligible children for free meals without the need for household applications. States and LEAs directly certified 12.3 million children at the start of SY 2012-2013, an increase of 740,000, or 6 percent, from the previous school year. Over the same period, the population of school-age SNAP participant children increased by just 1.5 percent. As a result, the share of SNAP participant children certified for free school meals without application increased to 89 percent in SY 2012-2013, up from 86 percent in SY 2011-2012.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2013-06-12</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-33</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Webmaster</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>http://www.fns.usda.gov/direct-certification-national-school-lunch-program-state-implementation-progress-school-year-2012</downloadURL><mediaType>text/html</mediaType><title>National School Lunch Program: State Implementation Progress, School Year 2012–2013: Report to Congress</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National and State Level Estimates of Special SNP for WIC Eligibles and Program Reach</title><description>This report offers updated estimates of the number of people eligible for WIC benefits in 2011, including (1) estimates by participant category (including children by single year of age) and coverage rates; (2) updated estimates in U.S. territories; and (3) confidence intervals. The national estimates presented in this report are based on a methodology developed in 2003 by the Committee on National Statistics of the National Research Council (CNSTAT). The report’s State-level estimates use a methodology developed by the Urban Institute that apportions the national figures using data from the American Community Survey</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-03-15</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-47</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Webmaster</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/WICEligibles2011Volume1.pdf</downloadURL><mediaType>application/pdf</mediaType><title>National and State-Level Estimates of Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) Eligibles and Program Reach, 2011</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>New Local Educational Agency Second Review of Applications Report</title><description>This memorandum provides information on the release of the new form used to report the results of the second review of free and reduced price applications in the National School Lunch Program (NSLP) and School Breakfast Program (SBP).</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-09-08</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-75</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Kevin.Russ@fns.usda.gov</emailAddress><fn>Kevin Russ</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/SP62-2014os.pdf</downloadURL><mediaType>application/pdf</mediaType><title>New Local Educational Agency Second Review of Applications Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Nutrient Content of the U.S. Food Supply, 1909-2010</title><description>The data presented in this dataset is invaluable for monitoring the potential of the food supply to meet nutritional needs; for examining relationships between food supply nutrients and health; and for examining dietary trends of Americans. Additionally, food supply nutrient estimates reflect Federal enrichment and fortification standards and technological advances in the food industry and contribute to the Federal dietary guidance system. As such, these data are of interest to agricultural policymakers, economists, nutrition researchers, and nutrition and public health educators. Data are provided for the following nutrients and their food sources from the major food groups.</description><accessLevel>public</accessLevel><dataQuality>false</dataQuality><modified>2014-05-21</modified><identifier>USDA-FNS-115</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:055</programCode><distribution><accessURL>http://www.cnpp.usda.gov/USFoodSupply-1909-2010</accessURL><format>html</format><title>Nutrient Content of the U.S. Food Supply, 1909-2010</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Nutrient and MyPyramid Analysis of USDA Foods in Five of Its Food and Nutrition Programs</title><description>Through its food distribution programs, USDA purchases a variety of food including fruits, vegetables, meat, grains, and dairy products to be distributed directly to needy households or for use in congregate feeding programs that help Americans obtain access to nutritious food and support American agriculture. This report contains nutrient and food group analyses of the USDA Food distributed through NSLP, CACFP, CSFP, FDPIR, and TEFAP in fiscal year 2009.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2012-01-15</modified><rights>Public</rights><identifier>USDA-FNS-82</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:055</programCode><distribution><description>Nutrient and MyPyramid Analysis of USDA Foods in Five of Its Food and Nutrition Programs</description><downloadURL>http://www.fns.usda.gov/sites/default/files/NutrientMyPyramid.pdf</downloadURL><format>PDF</format><mediaType>application/pdf</mediaType><title>Nutrient and MyPyramid Analysis of USDA Foods in Five of Its Food and Nutrition Programs</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Nutrition Assistance Programs Keydata</title><description>This dataset provide data and research regarding USDA Nutrition Assistance programs.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2017-05-05</modified><identifier>USDA-FNS-121</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><accessURL>https://www.fns.usda.gov/data-and-statistics</accessURL><format>pdf</format><title>Nutrition Assistance Programs Keydata</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Nutrition Assistance Programs Performance Report</title><description>This report provides data regarding the nutrition assistance programs performance report for August 2014. The report reflects the participation of persons in FNS' programs.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-09-05</modified><rights>Public</rights><identifier>USDA-FNS-80</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Tim.Kreh@fns.usda.gov</emailAddress><fn>Tim Kreh</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:055</programCode><distribution><description>Nutrition Assistance Programs Performance Report</description><downloadURL>http://www.fns.usda.gov/sites/default/files/datastatistics/June-Performance-Report-2014.pdf</downloadURL><format>PDF</format><mediaType>application/pdf</mediaType><title>Nutrition Assistance Programs Performance Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Nutrition Assistance in Farmers Markets: Understanding the Shopping Patterns of SNAP Participants</title><description>This study was undertaken to understand why some SNAP participants shop at farmers markets and others in the same geographic area do not. Results suggest that SNAP participants buy most of their fresh fruits and vegetables at farmers markets. Of those who shop at farmers markets, overall value including quality and price are major reasons for shopping at markets. Of those who do not, reasons for not shopping at farmers markets centered on convenience.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-10-24</modified><rights>Public</rights><identifier>USDA-FNS-88</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><accessURL>http://www.fns.usda.gov/sites/default/files/FarmersMarkets-Shopping-Patterns.pdf</accessURL><format>PDF</format><title>Nutrition Assistance in Farmers Markets: Understanding the Shopping Patterns of SNAP Participants</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Official USDA Food Plans: Cost of Food at Home at Four Levels, U.S. Average, July 2014</title><description>The Food Plans represent a nutritious diet at four different cost levels: thrifty plan, low-cost plan, moderate-cost plan, and a liberal plan. The report is based on the costs of home-prepared meals and snacks.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-08-17</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-65</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:057</programCode><distribution><downloadURL>http://www.cnpp.usda.gov/sites/default/files/usda_food_plans_cost_of_food/CostofFoodJul2014.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Official USDA Food Plans: Cost of Food at Home at Four Levels, U.S. Average, July 2014</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Participation and Benefits - National &amp; State Monthly /Annual Data</title><description>This dataset provides National &amp; State Monthly/Annual Data from Fiscal Year 1969 to Current Year for SNAP Participation and Benefits.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2015-11-09</modified><identifier>USDA-FNS-97</identifier><publisher><subOrganization><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher></subOrganization><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Tim.Kreh@fns.usda.gov</emailAddress><fn>Tim Kreh</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><accessURL>http://www.fns.usda.gov/sites/default/files/pd/SNAPZip69throughCurrent.zip</accessURL><title>Participation and Benefits - National &amp; State Monthly /Annual Data</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Policy on Certification Periods for Zero Income Households</title><description>This memorandum provides revised policy guidance on certification periods pertaining to zero income households in FDPIR. The revised policy for zero income households provides for certification staff to continue to question and document households that report zero income. The certification periods have been revised to allow for longer certification periods, if the zero income household is verified to be stable with regard to lack of income.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-05-13</modified><rights>Public</rights><identifier>USDA-FNS-79</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:055</programCode><distribution><description>Policy on Certification Periods for Zero Income Households</description><downloadURL>http://www.fns.usda.gov/sites/default/files/pmfd135_Revised_PolicyonCertificationPeriodsforZeroIncomeHouseholds.pdf</downloadURL><format>PDF</format><mediaType>application/pdf</mediaType><title>Policy on Certification Periods for Zero Income Households</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Program Integrity for Nutrition Assistance Programs</title><description>Improving stewardship of Federal money by reducing recipient fraud, reducing retailer fraud, ensuring accurate eligibility determinations, and reducing improper payments.&#13;
Click on any state to Report Nutrition Assistance Fraud in that location.</description><accessLevel>public</accessLevel><modified>2014-07-25</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-18</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Webmaster</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>http://www.fns.usda.gov/program-integrity</downloadURL><mediaType>text/html</mediaType><title>Program Integrity for Nutrition Assistance Programs</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Reaching Those in Need: Estimates of State SNAP Participation Rates in 2014</title><description>This report – part of an annual series – presents estimates of the percentage of eligible persons, by State, who participated in the U.S. Department of Agriculture’s Supplemental Nutrition Assistance Program (SNAP) during an average month in fiscal year (FY) 2014 and in the two previous fiscal years. This report also presents estimates of State participation rates for eligible “working poor” individuals (persons in households with earnings) over the same period.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2017-01-19</modified><identifier>USDA-FNS-122</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>https://fns-prod.azureedge.net/sites/default/files/ops/Reaching2014.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><title>Reaching Those in Need: Estimates of State Supplemental Nutrition Assistance Program Participation Rates in 2014</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Reaching Those in Need: State SNAP Participation Rates for 2011</title><description>This brochure provides a graphical representation of State SNAP participation rates for 2011.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-02-12</modified><rights>Public</rights><identifier>USDA-FNS-43</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Webmaster</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/Reaching2011.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Reaching Those in Need: SNAP Participation Rates for 2011</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Regional Office Review of Applications (RORA) for School Meals 2013</title><description>This study is a summarization of the national estimates of administrative error in eligibility determinations and benefits issuance for free or reduced-price school meals.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-08-17</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-77</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/ops/RORA2013.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Regional Office Review of Applications (RORA) for School Meals 2013</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Report on the Summer Food for Children Demonstration Projects for Fiscal Year 2013</title><description>This Congressional report summarizes the implementation and evaluation of two approaches tested in the summers of 2011 through 2013. Summer EBT for Children (SEBTC) uses existing electronic benefits transfer systems to provide household benefits for children. The Enhanced Summer Food Service Program (eSFSP) tests several changes to the traditional program, including incentives to extend operating periods, incentives to add enrichment activities, meal delivery for children in rural areas, and weekend and holiday backpacks.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2013-12-21</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-60</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>chanchalat.chanhatasilpa@fns.usda.gov</emailAddress><fn>Chan Chanhatasilpa</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:055</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/SEBTC_2013.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Report on the Summer Food for Children Demonstration Projects for Fiscal Year 2013</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>SNAP Activity Report, Error Rates and Quality Control</title><description>This webpage provides reports for SNAP activity, error rates and quality control.</description><accessLevel>public</accessLevel><modified>2014-07-25</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-76</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><accessURL>http://www.fns.usda.gov/pd/snap-state-activity-reports</accessURL><title>SNAP Activity Reports</title><type>dcat:Distribution</type></distribution><distribution><accessURL>http://www.fns.usda.gov/pd/snap-quality-control-error-rates</accessURL><title>SNAP Quality Control Error Rates</title><type>dcat:Distribution</type></distribution><distribution><accessURL>http://www.fns.usda.gov/pd/snap-quality-control-annual-reports</accessURL><title>SNAP Quality Control Annual Reports</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>SNAP Benefits Costs - Latest Available Month</title><description>This dataset provides the Supplemental Nutrition Assistance Program (SNAP) benefits costs for each state.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2015-11-06</modified><identifier>USDA-FNS-101</identifier><publisher><subOrganization><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher></subOrganization><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Tim.Kreh@fns.usda.gov</emailAddress><fn>Tim Kreh</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><accessURL>http://www.fns.usda.gov/sites/default/files/pd/31SNAPcurrBEN$.pdf</accessURL><title>SNAP Benefits Costs - Latest Available Month</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>SNAP Community Characteristics</title><description>Data about communities and SNAP households. Click on a State to find data by congressional district.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2015-03-19</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-17</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>oaneweb@fns.usda.gov</emailAddress><fn>FNS datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><accessURL>http://www.fns.usda.gov/ops/snap-community-characteristics</accessURL><format>PDF</format><title>SNAP Community Characteristics</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>SNAP EBT Third Party Processor (TPP)List and Guidance to Retailers</title><description>The list below provides Third Party Processor options for SNAP ‐ authorized retailers who may not know where to obtain EBT equipment and services. All SNAP ‐ authorized retailers, except those exempted below, must pay for their own EBT equipment and services and should arrange for lease or purchase of EBT equipment and services as soon as they can, in order to ensure future participation in SNAP</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-10-17</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-63</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><accessURL>http://www.fns.usda.gov/sites/default/files/snap/SNAP-EBT-Third-Party-Processor-List-and-Retailer-Guidance.pdf</accessURL><title>SNAP EBT Third Party Processor (TPP)List and Guidance to Retailers</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>SNAP Employment and Training Resources</title><description>This data set provides resources for state employment and training throughout United States.</description><accessLevel>public</accessLevel><modified>2014-05-22</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-20</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Webmaster</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>http://www.fns.usda.gov/state-employment-and-training-resources</downloadURL><mediaType>text/html</mediaType><title>SNAP Employment and Training Resources</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>SNAP Households Participation - Latest Available Month</title><description>This dataset provides the number of household participating in Supplemental Nutrition Assistance Program (SNAP) for each state.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2015-11-06</modified><identifier>USDA-FNS-100</identifier><publisher><subOrganization><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher></subOrganization><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Tim.Kreh@fns.usda.gov</emailAddress><fn>Tim Kreh</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><accessURL>http://www.fns.usda.gov/sites/default/files/pd/30SNAPcurrHH.pdf</accessURL><title>SNAP Households Participation - Latest Available Month</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>SNAP Income Limits</title><description>Households have to meet income tests unless all members are receiving TANF, SSI, or in some places general assistance. Most households must meet both the gross and net income tests, but a household with an elderly person or a person who is receiving certain types of disability payments only has to meet the net income test. Households, except those noted, that have income over the amounts listed below cannot get SNAP benefits</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2015-10-15</modified><identifier>USDA-FNS-106</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Sasha.Gersten-Paal@fns.usda.gov</emailAddress><fn>Sasha Gersten-Paal</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><description>Excel File</description><downloadURL>http://www.fns.usda.gov/sites/default/files/snap/FY-2016-SNAP-Income-Limits.xls_.xlsx</downloadURL><format>xls</format><mediaType>application/vnd.ms-excel</mediaType><title>FY2016 SNAP Income Limit Table</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>SNAP Online State EBT Access dataset</title><description>Provides the list of States that have online access to individual EBT (Electronic Benefits Transfer) account information for the Supplemental Nutrition Assistance Program (SNAP), such as balance and transaction history information.</description><accessLevel>public</accessLevel><accrualPeriodicity>irregular</accrualPeriodicity><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States</spatial><identifier>USDA-FNS-00003</identifier><publisher><name>Food and Nutrition Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Ronald.Ward@fns.usda.gov</emailAddress><fn>Ronald Ward</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/SNAP_Online_State_EBT_Accounts.xlsx</downloadURL><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><title>SNAP Online State EBT Access dataset</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>SNAP Participation and Benefits National Summary Current FY and Prior 4 FY</title><description>This dataset provides SNAP Participation and Benefits National Summary for Current Fiscal Year and Prior 4 Fiscal Years.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2015-11-09</modified><identifier>USDA-FNS-98</identifier><publisher><subOrganization><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher></subOrganization><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Tim.Kreh@fns.usda.gov</emailAddress><fn>Tim Kreh</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><accessURL>http://www.fns.usda.gov/sites/default/files/pd/34SNAPmonthly.pdf</accessURL><format>PDF</format><title>SNAP Participation and Benefits National Summary Current FY and Prior 4 FY</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>SNAP Retail Locator</title><description>The Supplemental Nutrition Assistance Program (SNAP) Retailer Locator is designed to help recipients find SNAP local stores that welcome SNAP benefits. The tool is intended to offer assistance to program recipients, State eligibility workers, community organizations - such as food banks - and others providing assistance to those in need. SNAP Retail Locator tool will make it easier for SNAP participants, especially those who may be new and unfamiliar with the program, to gain access to food. The locator is available at http://www.fns.usda.gov/snap/retailerlocator.htm</description><accessLevel>public</accessLevel><accrualPeriodicity>R/PT1S</accrualPeriodicity><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-04-30</modified><spatial>United States</spatial><identifier>USDA-FNS-000011</identifier><publisher><name>Food and Nutrition Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jonathan.Benett@fns.usda.gov</emailAddress><fn>Jonathan Benett</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><accessURL>http://www.fns.usda.gov/snap/retailerlocator</accessURL><title>SNAP Retail Locator</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>SNAP Retailer Management 2013 Annual Report</title><description>This report details the responsibilities, authorization activities, and oversight findings that the Regional Operations Division (ROD) staff found regarding retailers who participate in the Supplemental Nutrition Assistance Program (SNAP). ROD staff performed front-end authorization, reauthorization, maintenance, and administration related to retailer participation, administrative sanction activities, and retailer investigations in coordination with compliance partners.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-03-14</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-62</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/snap/2013-annual-report.pdf</downloadURL><mediaType>application/pdf</mediaType><title>SNAP Retailer Management 2013 Annual Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>SNAP State Information/Hotline Numbers</title><description>Use the following numbers to get information on SNAP benefit questions in the States and areas of States listed. Most are toll-free numbers. Some of the numbers that aren't toll free will accept collect calls. * Indicates numbers are for in-State and out-of-State calls. All other 800 numbers are for in-State calls only. ** Indicates numbers accept collect calls.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2016-05-18</modified><identifier>USDA-FNS-118</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><accessURL>http://www.fns.usda.gov/snap/state-informationhotline-numbers</accessURL><format>html</format><title>SNAP State Information/Hotline Numbers</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>School Breakfast Participation and Meals Served Data</title><description>The School Breakfast Program (SBP) provides cash assistance to States to operate nonprofit breakfast programs in schools and residential childcare institutions. Data here consists of participation, breakfast meals served, and cash provided to states, all by year, month and current.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P3M</accrualPeriodicity><modified>2014-02-24</modified><spatial>United States</spatial><identifier>USDA-FNS-00004</identifier><publisher><name>Food and Nutrition Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Tim.Kreh@fns.usda.gov</emailAddress><fn>Tim Kreh</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/pd/sbsummar.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>School Breakfast Participation and Meals Served Data</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>School Breakfast Program Monthly Data</title><description>This dataset provides the monthly data for School Breakfast Program.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2015-11-06</modified><identifier>USDA-FNS-103</identifier><publisher><subOrganization><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher></subOrganization><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Tim.Kreh@fns.usda.gov</emailAddress><fn>Tim Kreh</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><accessURL>http://www.fns.usda.gov/sites/default/files/pd/35sbmonthly.pdf</accessURL><title>School Breakfast Program Monthly Data</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>School Food Authorities (SFAs) Purchasing Produce from U.S. Department of Defense (DoD) Vendors using Section 4 and 11 for Fresh Fruit and Vegetable Program (FFVP) Funds Memo</title><description>This memorandum clarifies how SFAs may use funds provided under Sections 4 and 11 or 19 of the National School Lunch Act (NSLA) to purchase fresh fruits and vegetables from DoD Fresh Fruit and Vegetable Program (DoD) vendors.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-03-06</modified><rights>Public</rights><identifier>USDA-FNS-84</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><description>School Food Authorities (SFAs) Purchasing Produce from U.S. Department of Defense (DoD) Vendors using Section 4 and 11 for Fresh Fruit and Vegetable Program (FFVP) Funds Memo</description><downloadURL>http://www.fns.usda.gov/sites/default/files/pmfd133_SFAsPurchasingProducefromDoDVendorsUsingSect4and11orFFVPFunds.pdf</downloadURL><format>PDF</format><mediaType>application/pdf</mediaType><title>School Food Authorities (SFAs) Purchasing Produce from U.S. Department of Defense (DoD) Vendors using Section 4 and 11 for Fresh Fruit and Vegetable Program (FFVP) Funds Memo</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>School Foodservice Indirect Cost Study</title><description>The Healthy, Hunger-Free Kids Act (HHFKA) directed USDA to study the extent to which school food authorities (SFAs) participating in the National School Lunch Program (NSLP) and School Breakfast Program (SBP) pay indirect costs to local education agencies (LEAs). It specifically requested an assessment of the methodologies used to establish indirect costs, the types and amounts of indirect costs that are charged and not charged to the school food service account, and the types and amounts of indirect costs recovered by LEAs. To address the research questions, information was collected from four perspectives: (1) the State education agency finance officer, (2) the State child nutrition director, (3) the LEA business manager, and (4) the SFA director.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-03-11</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-61</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:055</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/SFICS.pdf</downloadURL><mediaType>application/pdf</mediaType><title>School Foodservice Indirect Cost Study</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Smart Snacks Standards for Exempt Foods when Paired Together Notice</title><description>The Healthy, Hunger-Free Kids Act of 2010 (HHFKA) directed the Department of Agriculture (USDA) to establish nutrition standards for all foods and beverages sold to students on the school campus during the school day. On June 28, 2013, the Food and Nutrition Service (FNS) published the "Smart Snacks in School" (Smart Snacks) regulation that carefully balances science-based nutrition standards with practical and flexible solutions to promote healthier eating on campus. The purpose of this memorandum is to clarify Smart Snacks standards for exempt food that are paired together as a single snack.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-09-11</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-74</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/cnd/SP63-2014os.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Smart Snacks Standards for Exempt Foods when Paired Together Notice</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Special Milk Outlets and Milk Served Data</title><description>The Special Milk Program provides milk to children in schools and childcare institutions who do not participate in other Federal meal service programs. The program reimburses schools for the milk they serve. Schools in the National School Lunch or School Breakfast Programs may also participate in the Special Milk Program to provide milk to children in half-day pre-kindergarten and kindergarten programs where children do not have access to the school meal programs. The data set consists of number of outlets, number of half-pints served and federal expenditures.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P3M</accrualPeriodicity><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States</spatial><identifier>USDA-FNS-00012</identifier><publisher><name>Food and Nutrition Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Tim.Kreh@fns.usda.gov</emailAddress><fn>Tim Kreh</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/pd/smsummar.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Special Milk Outlets and Milk Served Data</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Special Nutrition Program Operations Study: State and School Food Authority Policies and Practices for School Meals Programs School Year 2011-12</title><description>The Special Nutrition Program Operations Study is a multiyear study designed to provide the Food and Nutrition Service with a snapshot of current State and School Food Authority policies and practices, including information on school meal standards, competitive foods standards, professional standards, school lunch pricing and accounting, and standards for school wellness policies. The information in this first year study (School Year 2011-12) will provide a baseline for observing the improvements resulting from the implementation of the Healthy, Hunger-Free Kids Act.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-03-22</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-59</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:055</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/SNOPSYear1.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Special Nutrition Program Operations Study: State and School Food Authority Policies and Practices for School Meals Programs School Year 2011-12</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>State Distributing Agency (DA) Contacts for Disaster Situations</title><description>For information about how and where to apply for USDA commodities in disaster situations, please contact the State Distributing Agency (SDA) that administer the Food Distribution Programs in your State. This dataset provides contact information for SDAs which maintain stocks of USDA commodity foods in disaster situations.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-03-26</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-26</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Webmaster</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><accessURL>http://www.fns.usda.gov/fdd/contacts/sdacontacts.htm</accessURL><title>State DA Contacts For CSFP, NSLP Schools, CACFP, SFSP, NSIP, &amp; TEFAP</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>State of Origin for USDA Foods in Fiscal Year 2012</title><description>The Food and Nutrition Service (FNS) Food Distribution Programs provide food and nutrition assistance to school children and families and support American agriculture by distributing high quality, 100 percent American-grown USDA Foods. This report analyzes State of origin data for Fiscal Year (FY) 2012, which captures the State where USDA purchased USDA Foods during FY 2012. In FY 2012, USDA purchased over 2 billion pounds of food, worth nearly $2 billion. Purchased USDA Foods included both raw food products such as meats, vegetables, and fruits, as well as finished food products like cereal, crackers, and pasta.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-03-17</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-49</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Webmaster</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/StateofOrigin2012.pdf</downloadURL><mediaType>application/pdf</mediaType><title>State of Origin for USDA Foods in Fiscal Year 2012</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Summer Food Service Participation, Meals, and Costs Data</title><description>During the school year, many children receive free and reduced-price breakfast and lunch through the School Breakfast and National School Lunch Programs. What happens when school lets out? Hunger is one of the most severe roadblocks to the learning process. Lack of nutrition during the summer months may set up a cycle for poor performance once school begins again. Hunger also may make children more prone to illness and other health issues. The Summer Food Service Program is designed to fill that nutrition gap and make sure children can get the nutritious meals they need. This data set contains information on summer food service participation, meals served and cash payments provided by state.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P3M</accrualPeriodicity><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States</spatial><identifier>USDA-FNS-00005</identifier><publisher><name>Food and Nutrition Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Tim.Kreh@fns.usda.gov</emailAddress><fn>Tim Kreh</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/pd/sfsummar.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Summer Food Service Participation, Meals, and Costs Data</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Summer Food Service Program (SFSP) Area Eligibility Mapper</title><description>Allows users to confirm eligibility of summer meal sites by accessing census tract and census block group (CBG) data. This tool can also be used to conduct weighted averaging as discussed in SFSP Policy Memorandum 10-2015, “Area Eligibility in Child Nutrition Programs,” published Nov. 21, 2014, available at http://www.fns.usda.gov/area-eligibility-child-nutrition-programs-0. Instructions for determining eligibility using these data are available at: http://www.fns.usda.gov/sites/default/files/Census%20Instructions%202014_0.pdf. The instructions offer two different tools to determine eligibility: the FNS Area Eligibility Mapper and a map developed by the Food Research and Action Center (FRAC). The FRAC map is constructed from the same data files and also may be used to determine eligibility. Additionally, State agencies may request the data file for every CBG and census tract, including Federal Information Processing Standards (FIPS) codes for Geographic Information System (GIS) efforts, in their State. State agencies also may provide these data to institutions and partners upon request. This tool can also be used to identify locations that are area eligible for participation in other Child Nutrition Programs.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2016-04-13</modified><identifier>USDA-FNS-111</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><accessURL>http://www.fns.usda.gov/areaeligibility</accessURL><format>API</format><title>Summer Food Service Program (SFSP) Area Eligibility Mapper</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Summer Food Service Program (SFSP) Contacts</title><description>This dataset provides contact information for Summer Food Service Program (SFSP) for each state.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-10-30</modified><identifier>USDA-FNS-109</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Webmaster</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><accessURL>http://www.fns.usda.gov/sfsp/sfsp-contacts</accessURL><format>html</format><title>Summer Food Service Program (SFSP) Contacts</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Summer Food Service Program (SFSP) Mobile Route Maker</title><description>This tool is primarily a routing tool for Summer meal sponsors, vendors and State agencies that is overlaid on the Capacity Builder. Routing is especially important for less densely populated areas, such as rural areas. This tool will help a variety of audiences allocate resources efficiently and in a cost effective way. Sponsors can identify potential summer sites for mobile feeding by identifying gaps in service in the neediest areas, plan the most efficient monitoring routes, and find routes to local food vendors to create fresh local meals (http://www.fns.usda.gov/farmtoschool/farm-summer). In addition self-prep central kitchens and vendors can find the best route to deliver meals to each Summer meal site. State agencies can also use this tool to plan the most efficient monitoring routes throughout the summer.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2016-02-26</modified><identifier>USDA-FNS-113</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><accessURL>http://www.fns.usda.gov/mobile-route-maker</accessURL><format>API</format><title>Summer Food Service Program (SFSP) Mobile Route Maker</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Summer Food Service Program (SFSP) Rural Designation Tool</title><description>Allows State agencies and sponsors to determine if a proposed site may be designated as rural for purposes of identifying a site as eligible for increased reimbursement in SFSP. To use the map, users must enter the address of the proposed site in the “Find Address or Place” box located on the right side of the screen. By pressing enter, the map will zoom to the location specified. Locations shaded in purple are non-rural; unshaded locations are rural.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2015-01-06</modified><identifier>USDA-FNS-112</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><accessURL>http://www.fns.usda.gov/rural-designation</accessURL><format>API</format><title>Summer Food Service Program (SFSP) Rural Designation Tool</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Summer Meal Capacity Builder</title><description>Allows users to search for summer meal sites from the previous summer by zip code, adding “layers” of information, such as free and reduced-price lunch participation rates or area eligibility data. Potential site locations (multi-family housing units, libraries, museums, and schools) can be added to the map, and previous site locations can also be highlighted, helping to prevent site overlap. This tool can also be used to identify locations that are area eligible for participation in other Child Nutrition Programs.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2015-01-06</modified><identifier>USDA-FNS-110</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><accessURL>http://www.fns.usda.gov/capacitybuilder</accessURL><format>API</format><title>Summer Meal Capacity Builder</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>SuperTracker</title><description>The SuperTracker is an online tool that helps you track what you currently eat and drink, gives you a personalized plan for what you should eat and drink, and guides you to make better choices.</description><accessLevel>public</accessLevel><modified>2014-05-21</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-14</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Jackie.Haven@fns.usda.gov</emailAddress><fn>Jackie Haven</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:057</programCode><distribution><accessURL>http://www.choosemyplate.gov/tools-supertracker</accessURL><title>SuperTracker</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Supplemental Nutrition Assistance Program Education and Evaluation Study (Wave II)</title><description>This study presents the evaluation of the three SNAP-Ed demonstration projects. Two of the three demonstration projects studied targeted low-income children in elementary school settings with the goal of increasing children’s consumption of fruits and vegetables. The third project also focused on increasing fruit and vegetable consumption and targeted seniors. One of the child-focused interventions and the Food and Nutrition Service (FNS) developed Eat Smart, Live Strong program for older Americans demonstrated increases in fruit and vegetable consumption. This study also evaluated the self-evaluations conducted by the three demonstration projects.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2013-12-12</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-46</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Webmaster</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>http://www.fns.usda.gov/supplemental-nutrition-assistance-program-education-and-evaluation-study-wave-ii</downloadURL><mediaType>text/html</mediaType><title>Supplemental Nutrition Assistance Program Education and Evaluation Study (Wave II)</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Supplemental Nutrition Assistance Program Participation and Cost Data</title><description>Supplemental Nutrition Assistance Program (SNAP) is the new name for the federal Food Stamp Program. This data set contains participation and cost data for SNAP. The data is furthered divided by annual, state, and monthly levels categorized by persons participating, households participating, benefits provided, average monthly benefits per person and average monthly benefits per household.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P3M</accrualPeriodicity><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States</spatial><identifier>USDA-FNS-00009</identifier><publisher><name>Food and Nutrition Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Tim.Kreh@fns.usda.gov</emailAddress><fn>Tim Kreh</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/pd/SNAPsummary.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Supplemental Nutrition Assistance Program Participation and Cost Data</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Supplemental Nutrition Assistance Program Persons Partcipation - Latest Available Month</title><description>This dataset provides the number of people participating in Supplemental Nutrition Assistance Program (SNAP) for each state.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2015-11-06</modified><identifier>USDA-FNS-99</identifier><publisher><subOrganization><publisher><name>Department of Agriculture</name><type>org:Organization</type></publisher></subOrganization><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Tim.Kreh@fns.usda.gov</emailAddress><fn>Tim Kreh</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><accessURL>http://www.fns.usda.gov/sites/default/files/pd/29SNAPcurrPP.pdf</accessURL><title>SNAP Persons Participation - Latest Available Month</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Supplemental Nutrition Assistance Program on-line applications</title><description>This datasets provides the list of state websites to apply online for SNAP benefits.</description><accessLevel>public</accessLevel><dataQuality>false</dataQuality><modified>2018-08-26</modified><identifier>USDA-FNS-117</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><accessURL>http://www.fns.usda.gov/snap/apply</accessURL><format>html</format><title>Supplemental Nutrition Assistance Program (SNAP) On-line Application</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Supplemental Nutrition Assistance Program: Examining the Evidence to Define Benefit Adequacy Study</title><description>This study examines how to define "adequacy" of SNAP allotments in the context of improving food security and access to a healthy diet, existing data sources that could inform an assessment of the adequacy of existing and potential alternative SNAP allotments, and new data requirements to strengthen the evidence-base and allow for further rigorous analyses.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-01-17</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-70</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/ops/IOMSNAPAllotments.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Supplemental Nutrition Assistance Program: Examining the Evidence to Define Benefit Adequacy Study</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>TANF Broad Based Categorical Eligibility rules that apply to SNAP</title><description>Broad-based categorical eligibility (BBCE) is a policy that makes most households categorically eligible for SNAP because they qualify for a non-cash Temporary Assistance for Needy Families (TANF) or State maintenance of effort (MOE) funded benefit. The chart below shows which States implemented BBCE, the programs that confer BBCE, the asset limit of the TANF/MOE program, and the gross income limit of the TANF/MOE program.&#13;
BBCE cannot limit eligibility. Households with seniors or disabled members that are not eligible for the program that confers categorical eligibility may apply for and receive SNAP under regular SNAP rules. Under regular program rules, households with elderly or disabled members do not need to meet the gross income limit, but must meet the net income limit.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2016-01-16</modified><identifier>USDA-FNS-105</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Sasha.Gersten-Paal@fns.usda.gov</emailAddress><fn>Sasha Gersten-Paal</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><description>Excel File</description><downloadURL>http://www.fns.usda.gov/sites/default/files/snap/Broad-based-Categorical-Eligibility.xlsx</downloadURL><format>xls</format><mediaType>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mediaType><title>TANF Broad-Based Categorical Eligibility rules that apply to SNAP</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Team Nutrition Resource Catalog</title><description>This catalog provides general information about Team Nutrition, including; strategies and messages, Details on Team Nutrition Schools and how to sign up a school to be a Team Nutrition School.&#13;
The catalog includes details on all Team Nutrition education materials for schools including, kits, posters, games and stickers. Materials for child care and summer meal programs and technical and training materials for schools and child care.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2016-10-17</modified><identifier>USDA-FNS-119</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/tn/TeamNutritionResourceCatalogue_Final%20508.pdf</downloadURL><format>pdf</format><mediaType>application/pdf</mediaType><title>Team Nutrition Resource Catalog</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>The Emergency Food Assistance Program (TEFAP) Farm Bill Implementation Memo</title><description>On February 7, 2014, the Agricultural Act of 2014 (P.L. 113-79, Farm Bill) was signed into law, reauthorizing TEFAP through Fiscal Year 2018. This memorandum implements two provisions of the Farm Bill relative to TEFAP funding levels and the carryover of food entitlement funds.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-08-14</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-72</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:055</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/fdd/TEFAP_Farm_Bill_2014_Implementation_Memo_1.pdf</downloadURL><mediaType>application/pdf</mediaType><title>The Emergency Food Assistance Program (TEFAP) Farm Bill Implementation Memo</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>The Emergency Food Assistance Program (TEFAP): Total Food Cost</title><description>Provide total food cost of the Emergency Food Assistance Program on State level.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-08-08</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-51</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:055</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/pd/22tefap.pdf</downloadURL><mediaType>application/pdf</mediaType><title>The Emergency Food Assistance Program (TEFAP): Total Food Cost</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>The Extent of Trafficking in the Supplemental Nutrition Assistance Program: 2009-2011</title><description>Trafficking of Supplemental Nutrition Assistance Program (SNAP) benefits occurs when SNAP recipients sell their benefits for cash to food retailers, often at a discount. Although trafficking does not increase costs to the Federal Government, it is a diversion of program benefits from their intended purpose of helping low-income families access a nutritious diet. This report, the latest in a series of periodic analyses, provides estimates of the extent of trafficking during the period 2009 through 2011.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2013-11-13</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-34</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Webmaster</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>http://www.fns.usda.gov/extent-trafficking-supplemental-nutrition-assistance-program-2009-2011-august-2013</downloadURL><mediaType>text/html</mediaType><title>Trafficking in the Supplemental Nutrition Assistance Program: 2009-2011</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Toll-Free Numbers for Women, Infants and Children (WIC) State Agencies</title><description>Provides Toll-Free numbers for WIIC state agencies.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2013-06-10</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-56</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Webmaster</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:055</programCode><distribution><accessURL>http://www.fns.usda.gov/wic/toll-free-numbers-wic-state-agencies</accessURL><title>Toll-Free Numbers for Women, Infants and Children (WIC) State Agencies</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Trends in SNAP Rates: Fiscal Year 2010 to Fiscal Year 2012 Report</title><description>This report presents the estimated percentage of individuals eligible under federal SNAP income and asset rules who choose to participate in the program</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-07-14</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-68</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/ops/Trends2010-2012.pdf</downloadURL><mediaType>application/pdf</mediaType><title>Trends in Supplemental Nutrition Assistance Program Participation Rates: Fiscal Year 2010 to Fiscal Year 2012 Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Food Plans: Cost of Food report for JULY 2016</title><description>This dataset provides cost of Food at Home at Four levels for the USDA Food Plans. The Food Plans represent a nutritious diet at four different cost levels. The nutritional bases of the Food Plans are the 1997- 2005 Dietary Reference Intakes, 2005 Dietary Guidelines for Americans, and 2005 MyPyramid food intake recommendations. In addition to cost, differences among plans are in specific foods and quantities of foods. Another basis of the Food Plans is that all meals and snacks are prepared at home. For specific foods and quantities of foods in the Food Plans, see Thrifty Food Plan, 2006 (2007) and The Low-Cost, Moderate-Cost, and Liberal Food Plans, 2007 (2007). All four Food Plans are based on 2001-02 data and updated to current dollars by using the Consumer Price Index for specific food items.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2016-08-15</modified><identifier>USDA-FNS-114</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:055</programCode><distribution><accessURL>http://www.cnpp.usda.gov/sites/default/files/CostofFoodJul2016.pdf</accessURL><format>html</format><title>Official USDA Food Plans: Cost of Food at Home at Four Levels</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Foods Bone-in-Chicken Products Memo</title><description>This memorandum explains the FNS policy that extends the flexibility regarding Meat/Meat Alternate (M/MA) maximums for the school year 2013-2014. This memo allows State agencies to assess compliance based on the minimum daily and weekly serving requirements only, therefore, they are able to exceed the limit on the number of ounces of M/MA that can be served in any given week as long as they are compliant with the calorie requirements of the new meal pattern.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2013-03-07</modified><rights>Public</rights><identifier>USDA-FNS-76-2015</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:055</programCode><distribution><description>USDA Foods Bone-in-Chicken Products Memo</description><downloadURL>http://www.fns.usda.gov/sites/default/files/pmfd129_Chicken.pdf</downloadURL><format>PDF</format><mediaType>application/pdf</mediaType><title>USDA Foods Bone-in-Chicken Products Memo</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Foods available for 2017 for Commodity Supplemental Food Program</title><description>This dataset provides the list of food available for 2016 for Commodity Supplemental Food Program.</description><accessLevel>public</accessLevel><dataQuality>false</dataQuality><modified>2015-12-03</modified><identifier>USDA-FNS-116</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:055</programCode><distribution><accessURL>http://www.fns.usda.gov/sites/default/files/csfp/CSFP-Foods-Available.pdf</accessURL><format>pdf</format><title>USDA Foods available for 2017 for Commodity Supplemental Food Program</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>USDA Helps Schools Make Lunchrooms "Smarter" as Students Head Back to Class Notice</title><description>This data set explains the USDA's purpose of putting $5.7 million in training grants and other new resources to help schools serve healthier meals and snacks. The data set states how these efforts will help states expand and enhance training programs that help schools encourage kids to make healthy choices.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-08-21</modified><rights>Public</rights><identifier>USDA-FNS-87</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><accessURL>http://www.fns.usda.gov/pressrelease/2014/fns-000614</accessURL><format>html</format><title>USDA Helps Schools Make Lunchrooms "Smarter" as Students Head Back to Class Notice</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Understanding the Rates, Causes, and Costs of Churning in the Supplemental Nutrition Assistance Program (SNAP)</title><description>This report describes "churning" as a policy concern in regards to the Supplemental Nutrition Assistance Program (SNAP). “Churning” in the Supplemental Nutrition Assistance Program (SNAP) is defined as when a household exits SNAP and then re-enters the program within 4 months. Churning is a policy concern due to the financial and administrative burden incurred by both SNAP households and State agencies that administer SNAP. This study explores the circumstances of churning in SNAP by determining the rates and patterns of churn, examining the causes of caseload churn, and calculating costs of churn to both participants and administering agencies in six States.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-11-24</modified><rights>Public</rights><identifier>USDA-FNS-90</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:056</programCode><distribution><accessURL>http://www.fns.usda.gov/sites/default/files/ops/SNAPChurning.pdf</accessURL><format>PDF</format><title>Understanding the Rates, Causes, and Costs of Churning in the Supplemental Nutrition Assistance Program (SNAP)</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>WIC Participant and Program Characteristics 2012 Final Report</title><description>The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) is administered by the Food and Nutrition Service (FNS) of the U.S. Department of Agriculture (USDA). WIC benefits include nutritious supplemental foods; nutrition education; counseling, including breastfeeding promotion and support; and referrals to health care, social service, and other community providers for pregnant, breastfeeding, and postpartum women, infants, and children up to the age of 5 years. 1 For women and their unborn children, WIC seeks to improve fetal development and reduce the incidence of low birth weight, short gestation, and anemia through intervention during the prenatal period. For infants and children, WIC seeks to provide nutritious foods during critical times of growth and development in an effort to prevent health problems and to improve the health status of these children. The reports, including PC2012, contain information on a census of WIC participants in April of the reporting year.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2013-12-01</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-30</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Tim.Kreh@fns.usda.gov</emailAddress><fn>Tim Kreh</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/WICPC2012.pdf</downloadURL><mediaType>application/pdf</mediaType><title>WIC Participant and Program Characteristics 2012 Final Report</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>WIC State Agencies by state agency name</title><description>Provides list of WIC state agencies by state agency name in an alphabetical order.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2013-09-27</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-55</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Webmaster</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:055</programCode><distribution><accessURL>http://www.fns.usda.gov/wic-state-agency-contacts</accessURL><title>WIC State Agencies by state agency name</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>White Paper on the Emergency Food Assistance Program (TEFAP)</title><description>The Emergency Food Assistance Program (TEFAP) is a U.S. Department of Agriculture (USDA) program that for three decades has helped supplement the diets of low-income Americans, including seniors, by providing them with emergency food and nutrition assistance at no cost. This white paper explains the program and describes some of its key results.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2013-08-21</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-50</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>ITGB@fns.usda.gov</emailAddress><fn>FNS Datasets</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/TEFAPWhitePaper.pdf</downloadURL><mediaType>application/pdf</mediaType><title>White Paper on the Emergency Food Assistance Program (TEFAP)</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Women, Infants and Children (WIC) Detailed Policy Guidance in Disaster Situations</title><description>A summary of current WIC policy and regulatory citations that are specifically relevant to WIC Program operation during disaster situations, usually hurricanes, in which WIC participants have been evacuated from their homes and relocated to other areas within their home States, or to another State.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2013-11-20</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-28</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>webmaster@fns.usda.gov</emailAddress><fn>FNS Webmaster</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><downloadURL>http://www.fns.usda.gov/wic/detailed-policy-guidance-disaster-situations</downloadURL><mediaType>text/html</mediaType><title>WIC Detailed Policy Guidance in Disaster Situation</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Women, Infants and Children (WIC) Income Eligibility Guidelines 2014-2015</title><description>On March 5, 2014, a Notice announcing revised WIC Income Eligibility Guidelines was published in the Federal Register. The adjusted income eligibility guidelines are used by State agencies in determining the income eligibility of persons applying to participate in the WIC Program. WIC State agencies must implement the new guidelines not later than July 1, 2014. WIC State agencies may implement the revised income guidelines at the same time States implement revised income eligibility guidelines for the Medicaid Program. On January 22, 2014, the U.S. Department of Health and Human Services (HHS) published its annual update of the poverty guidelines (79 FR 3593). The HHS guidelines are used by a number of Federal programs, including WIC and the Medicaid Program, as the basis for determining and updating program income eligibility limits.</description><accessLevel>public</accessLevel><dataQuality>true</dataQuality><modified>2014-08-04</modified><rights>Public</rights><spatial>United States</spatial><identifier>USDA-FNS-57</identifier><publisher><name>Food and Nutrition Service</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Tim.Kreh@fns.usda.gov</emailAddress><fn>Tim Kreh</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:055</programCode><distribution><downloadURL>http://www.fns.usda.gov/wic/wic-income-eligibility-guidelines</downloadURL><mediaType>text/html</mediaType><title>Women, Infants and Children (WIC) Income Eligibility Guidelines 2014-2015</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Women, Infants, and Children (WIC) Participating and Cost Data</title><description>This dataset contains monthly data for the current fiscal year for each WIC State agency. There are currently 90 WIC State agencies: the 50 geographic states, the District of Columbia, Puerto Rico, Guam, the Virgin Islands, American Samoa, Northern Marianas, and 34 Indian tribal organizations (ITO's). The dataset contains number of Pregnant Women, Breastfeeding Women, Postpartum Women, Total Women, Infants and children participating in the WIC program and the associated food and administrative cost.</description><accessLevel>public</accessLevel><accrualPeriodicity>R/P3M</accrualPeriodicity><license>https://creativecommons.org/licenses/by/4.0</license><modified>2014-12-23</modified><spatial>United States</spatial><identifier>USDA-FNS-00007</identifier><publisher><name>Food and Nutrition Service, Department of Agriculture</name><type>org:Organization</type></publisher><contactPoint><emailAddress>Tim.Kreh@fns.usda.gov</emailAddress><fn>Tim Kreh</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:84</bureauCode><programCode>005:054</programCode><distribution><downloadURL>http://www.fns.usda.gov/sites/default/files/pd/27wilatest.xls</downloadURL><mediaType>application/vnd.ms-excel</mediaType><title>Women, Infants, and Children (WIC) Participating and Cost Data</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Absolute change in April 1 snow water equivalent (Image Service)</title><description>&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;This raster contains modeled absolute changes in April 1 snow water equivalent (SWE) calculated using a spatial analog model. The model ingests mean winter average temperature and precipitation. For more information about the model, please see Luce et al., [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/2013WR014844/full"&gt;2014&lt;/a&gt;] and Lute and Luce [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/2017WR020752/full"&gt;2017&lt;/a&gt;]. Absolute changes in April 1 SWE is in units of millimeters. The temperature and precipitation data are ensemble mean values across 20 global climate models from the CMIP5 experiment [&lt;a href="http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1"&gt;Taylor et al., 2012&lt;/a&gt;], downscaled to a 4km grid. For more information on the downscaling method and to access the raw data used to create this dataset, please see Abatzoglou and Brown, [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/joc.2312/full"&gt;2012&lt;/a&gt;] and the &lt;a href="http://maca.northwestknowledge.net"&gt;Northwest Climate Science Center&lt;/a&gt;.We used the MACAv2-metdata monthly precipitation and minimum and maximum temperature datasets for the period 1975-2005 (historical) and 2071-2090 (RCP8.5, future). Average temperature was calculated as the arithmetic mean of minimum and maximum temperature datasets. Average temperature was averaged over the winter months (November through March) and precipitation was summed over the winter months. More information on the project associated with this dataset is available from the U.S. Forest Service &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html"&gt;Rocky Mountain Research Station&lt;/a&gt;, including &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;detailed metadata&lt;/a&gt;; these raster data are available for download &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;here&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d086f838167f4437ab57ed52dc66f618</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d086f838167f4437ab57ed52dc66f618/license.json</license><modified>2018-01-10</modified><spatial>-134.91336517510808,21.082969302706488,-56.90070213154654,52.37089914390312</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d086f838167f4437ab57ed52dc66f618</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d086f838167f4437ab57ed52dc66f618</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_Climate/SnowWaterEquivApril1_AbsChange/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_Climate/SnowWaterEquivApril1_AbsChange/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Absolute change in annual average temperature (Image Service)</title><description>&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;This raster contains absolute change in annual average temperature values. Data are ensemble mean values across 20 global climate models from the CMIP5 experiment [&lt;a href="http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1"&gt;Taylor et al., 2012&lt;/a&gt;], downscaled to a 4km grid. For more information on the downscaling method and to access the raw data used to create this dataset, please see Abatzoglou and Brown, [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/joc.2312/full"&gt;2012&lt;/a&gt;] and the &lt;a href="http://maca.northwestknowledge.net"&gt;Northwest Climate Science Center&lt;/a&gt;.We used the MACAv2-metdata monthly minimum and maximum temperature datasets. Average temperature was calculated as the arithmetic mean of minimum and maximum temperature datasets. Average temperature was averaged over water years (1 Oct to 30 Sept). Absolute change values are the difference between the mean historical (1975-2005) and future (2071-2090, RCP8.5) annual average temperatures. Units are degrees Celsius.More information on the project associated with this dataset is available from the U.S. Forest Service &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html"&gt;Rocky Mountain Research Station&lt;/a&gt;, including &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;detailed metadata&lt;/a&gt;; these raster data are available for download &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;here&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/cf0aefd243734eb7946e22d2d0812b87</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/cf0aefd243734eb7946e22d2d0812b87/license.json</license><modified>2018-01-10</modified><spatial>-134.91336517510808,21.082969302706488,-56.90070213154654,52.37089914390312</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/cf0aefd243734eb7946e22d2d0812b87</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/cf0aefd243734eb7946e22d2d0812b87</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_Climate/AvgAnnualTemp_AbsChange/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_Climate/AvgAnnualTemp_AbsChange/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Absolute change in annual precipitation (Image Service)</title><description>&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;This raster contains values of the absolute change in annual precipitation between historical and 2080s time periods. Data are calculated from ensemble mean values across 20 global climate models from the CMIP5 experiment [&lt;a href="http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1"&gt;Taylor et al., 2012&lt;/a&gt;], downscaled to a 4km grid. For more information on the downscaling method and to access the raw data used to create this dataset, please see Abatzoglou and Brown, [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/joc.2312/full"&gt;2012&lt;/a&gt;] and the &lt;a href="http://maca.northwestknowledge.net"&gt;Northwest Climate Science Center&lt;/a&gt;. We used the MACAv2-metdata monthly dataset and summed precipitation over the water year (1 Oct- 30 Sept). Absolute change is calculated as the difference between historical annual precipitation (1975-2005) and future annual precipitation (2071-2090, RCP8.5). Units are millimeters. More information on the project associated with this dataset is available from the U.S. Forest Service &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html"&gt;Rocky Mountain Research Station&lt;/a&gt;, including &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;detailed metadata&lt;/a&gt;; these raster data are available for download &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;here&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ae73bf4bd91c4e7ca99fa395490f9a98</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ae73bf4bd91c4e7ca99fa395490f9a98/license.json</license><modified>2018-01-10</modified><spatial>-134.91336517510808,21.082969302706488,-56.90070213154654,52.37089914390312</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ae73bf4bd91c4e7ca99fa395490f9a98</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ae73bf4bd91c4e7ca99fa395490f9a98</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_Climate/AnnualPrecipitation_AbsChange/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_Climate/AnnualPrecipitation_AbsChange/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Absolute change in snow residence time (Image Service)</title><description>&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;This raster contains modeled absolute changes in snow residence time (SRT) calculated using a spatial analog model. The model ingests mean winter average temperature and precipitation. For more information about the model, please see Luce et al., [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/2013WR014844/full"&gt;2014&lt;/a&gt;] and Lute and Luce [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/2017WR020752/full"&gt;2017&lt;/a&gt;]. Absolute changes in snow residence time are in units of days. The temperature and precipitation data are ensemble mean values across 20 global climate models from the CMIP5 experiment [&lt;a href="http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1"&gt;Taylor et al., 2012&lt;/a&gt;], downscaled to a 4km grid. For more information on the downscaling method and to access the raw data used to create this dataset, please see Abatzoglou and Brown, [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/joc.2312/full"&gt;2012&lt;/a&gt;] and the &lt;a href="http://maca.northwestknowledge.net"&gt;Northwest Climate Science Center&lt;/a&gt;. We used the MACAv2-metdata monthly precipitation and minimum and maximum temperature datasets for the period 1975-2005 (historical) and 2071-2090 (RCP8.5, future). Average temperature was calculated as the arithmetic mean of minimum and maximum temperature datasets. Average temperature was averaged over the winter months (November through March) and precipitation was summed over the winter months. More information on the project associated with this dataset is available from the U.S. Forest Service &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html"&gt;Rocky Mountain Research Station&lt;/a&gt;, including &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;detailed metadata&lt;/a&gt;; these raster data are available for download &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;here&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f4119d1123ed41948a924c39a6c5960b</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f4119d1123ed41948a924c39a6c5960b/license.json</license><modified>2018-01-10</modified><spatial>-134.91336517510808,21.082969302706488,-56.90070213154654,52.37089914390312</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f4119d1123ed41948a924c39a6c5960b</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f4119d1123ed41948a924c39a6c5960b</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_Climate/SnowResidenceTime_AbsChange/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_Climate/SnowResidenceTime_AbsChange/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Absolute change in winter average temperature (Image Service)</title><description>&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;This raster contains absolute change in winter average temperature values. Data are ensemble mean values across 20 global climate models from the CMIP5 experiment [&lt;a href="http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1"&gt;Taylor et al., 2012&lt;/a&gt;], downscaled to a 4km grid. For more information on the downscaling method and to access the raw data used to create this dataset, please see Abatzoglou and Brown, [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/joc.2312/full"&gt;2012&lt;/a&gt;] and the &lt;a href="http://maca.northwestknowledge.net"&gt;Northwest Climate Science Center&lt;/a&gt;. We used the MACAv2-metdata monthly minimum and maximum temperature datasets. Average temperature was calculated as the arithmetic mean of minimum and maximum temperature datasets. Average temperature was averaged over winter months (November through March). Absolute change values are the difference between the mean historical (1975-2005) and future (2071-2090, RCP8.5) annual average temperatures. Units are degrees Celsius. More information on the project associated with this dataset is available from the U.S. Forest Service &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html"&gt;Rocky Mountain Research Station&lt;/a&gt;, including &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;detailed metadata&lt;/a&gt;; these raster data are available for download &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;here&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/fb0371d15136458c85bd7ccf0bc63aa3</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/fb0371d15136458c85bd7ccf0bc63aa3/license.json</license><modified>2018-01-10</modified><spatial>-134.91336517510808,21.082969302706488,-56.90070213154654,52.37089914390312</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/fb0371d15136458c85bd7ccf0bc63aa3</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/fb0371d15136458c85bd7ccf0bc63aa3</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_Climate/AvgWinterTemp_AbsChange/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_Climate/AvgWinterTemp_AbsChange/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Absolute change in winter precipitation (Image Service)</title><description>&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;This raster contains values of the absolute change in winter precipitation between historical and 2080s time periods. Data are calculated from ensemble mean values across 20 global climate models from the CMIP5 experiment [&lt;a href="http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1"&gt;Taylor et al., 2012&lt;/a&gt;], downscaled to a 4km grid. For more information on the downscaling method and to access the raw data used to create this dataset, please see Abatzoglou and Brown, [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/joc.2312/full"&gt;2012&lt;/a&gt;] and the &lt;a href="http://maca.northwestknowledge.net"&gt;Northwest Climate Science Center&lt;/a&gt;. We used the MACAv2-metdata monthly dataset and summed precipitation over winter months (November-March). Absolute change is calculated as the difference between historical annual precipitation (1975-2005) and future annual precipitation (2071-2090, RCP8.5). Units are millimeters. More information on the project associated with this dataset is available from the U.S. Forest Service &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html"&gt;Rocky Mountain Research Station&lt;/a&gt;, including &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;detailed metadata&lt;/a&gt;; these raster data are available for download &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;here&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3e5c0998b63d4f00b24db394f1ac902c</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3e5c0998b63d4f00b24db394f1ac902c/license.json</license><modified>2018-01-10</modified><spatial>-134.91336517510808,21.082969302706488,-56.90070213154654,52.37089914390312</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3e5c0998b63d4f00b24db394f1ac902c</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3e5c0998b63d4f00b24db394f1ac902c</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_Climate/AvgWinterPrecip_AbsChange/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_Climate/AvgWinterPrecip_AbsChange/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Administrative Forest Boundaries (Feature Layer)</title><description>An area encompassing all the National Forest System lands administered by an administrative unit. The area encompasses private lands, other governmental agency lands, and may contain National Forest System lands within the proclaimed boundaries of another administrative unit. All National Forest System lands fall within one and only one Administrative Forest Area. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.AdministrativeForest.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-06</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ae98d0e83a9b466888202bf36941dc2d_1</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ae98d0e83a9b466888202bf36941dc2d_1/license.json</license><modified>2018-01-11</modified><spatial>-149.58,22.221,-70.83,61.749</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ae98d0e83a9b466888202bf36941dc2d_1</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ae98d0e83a9b466888202bf36941dc2d_1</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_ForestSystemBoundaries_01/MapServer/1</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ae98d0e83a9b466888202bf36941dc2d_1.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ae98d0e83a9b466888202bf36941dc2d_1.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ae98d0e83a9b466888202bf36941dc2d_1.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ae98d0e83a9b466888202bf36941dc2d_1.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_ForestSystemBoundaries_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_ForestSystemBoundaries_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Aerial Fire Retardant Avoidance Areas: Terrestrial (Feature Layer)</title><description>This layer contains features of aerial fire retardant avoidance areas delivered as part of the 2011 Nationwide Aerial Application of Fire Retardant on National Forest System Land Environmental Impact Statement. This Feature Class shows areas, provided by each National Forest who used aerial fire retardant from 2000-2010, where the aerial application of fire retardant should be avoided in order to prevent the potential of impacts to Federally listed threatened or endangered species as identified through consultation, or Forest Service sensitive species. Data includes location of terrestrial and hydrographic areas where the application of aerial fire retardant is to be avoided. Current aerial fire retardant standards prohibit application within 300 feet of hydrographic features. Therefore, this data may contain duplicate hydrographic areas already covered by existing standards. This data is to be used in planning and implementation phases of USFS fire activities to help prevent misapplication of aerial fire retardant in known areas of TES species or water features throughout National Forest lands. Provided here is a National merged dataset derived from each National Forest contribution. This data has been merged, dissolved, and erased of attributes contained in each original component dataset. For this purpose, specific attributes are not necessary, as any spatial areas depicted simply show areas where aerial fire retardant use is to be avoided as stated in USFS guidelines. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.AerialFireRetardantAvoidance.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/36450fe86e484542b2efab4518217c58_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/36450fe86e484542b2efab4518217c58_0/license.json</license><modified>2017-08-24</modified><spatial>-124.3891,30.3706,-76.7469,49.0012</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/36450fe86e484542b2efab4518217c58_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/36450fe86e484542b2efab4518217c58_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_AerialFireRetardantAvoidanceAreas_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/36450fe86e484542b2efab4518217c58_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/36450fe86e484542b2efab4518217c58_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/36450fe86e484542b2efab4518217c58_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/36450fe86e484542b2efab4518217c58_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_AerialFireRetardantAvoidanceAreas_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_AerialFireRetardantAvoidanceAreas_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Aerial Fire Retardant Hydrographic Avoidance Areas: Aquatic - Region 1 (Feature Layer)</title><description>Aerial retardant avoidance area for hydrographic feature data are based on high resolution National Hydrographic Dataset (NHD) produced by USGS and available from the USFS. Forests and/or regions have had the opportunity to modify the default NHD water representation (300ft buffer from all water features) for their areas of interest to accurately represent aerial fire retardant avoidance areas as described in the 2011 Record of Decision for the Nationwide Aerial Application of Fire Retardant on National Forest System Land EIS. These changes have been integrated into this dataset depicting aerial fire retardant avoidance areas for hydrographic features. The following process was used to develop the hydrographic areas to be avoided by aerial fire retardant. Initially, all intermittent/ephemeral and perennial features were buffered by 300 feet by the Forest/Region units. Subsequently, Forest/Region units may have extended these buffers locally based on their requirements. There may be overlapping features that have been created during the buffering process, so one must dissolve features before calculating any area values. Data is symbolized by FCODE. Using the FCODE attribute, streams/rivers/waterbodies are categorized into perennial and intermittent/ephemeral types. Avoidance features (streams and rivers) with FCODES 46003 and 46007, as well as features (lakes and other waterbody) with FCODES 39001, 39005, 39006, 43614, 46601 are considered intermittent/ephemeral features. All other FCODES are considered to be perennial features. All underground and covered water features (e.g., pipelines) are excluded. When symbolizing this information, perennial features should be drawn on top of intermittent/ephemeral features to give the proper message. Data displays at scales larger than 1:1,250,000. Data uses a Web Mercator projection. The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_R01.AFRAA_Hydro.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/4f940c66cdee408085550e5adb106c53_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/4f940c66cdee408085550e5adb106c53_0/license.json</license><modified>2017-08-24</modified><spatial>-117.1789,44.3606,-96.9404,49.0011</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/4f940c66cdee408085550e5adb106c53_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/4f940c66cdee408085550e5adb106c53_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_AerialFireRetardantHydrographicAvoidanceAreas_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/4f940c66cdee408085550e5adb106c53_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/4f940c66cdee408085550e5adb106c53_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/4f940c66cdee408085550e5adb106c53_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/4f940c66cdee408085550e5adb106c53_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_AerialFireRetardantHydrographicAvoidanceAreas_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_AerialFireRetardantHydrographicAvoidanceAreas_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Aerial Fire Retardant Hydrographic Avoidance Areas: Aquatic - Region 2 (Feature Layer)</title><description>Aerial retardant avoidance area for hydrographic feature data are based on high resolution National Hydrographic Dataset (NHD) produced by USGS and available from the USFS. Forests and/or regions have had the opportunity to modify the default NHD water representation (300ft buffer from all water features) for their areas of interest to accurately represent aerial fire retardant avoidance areas as described in the 2011 Record of Decision for the Nationwide Aerial Application of Fire Retardant on National Forest System Land EIS. These changes have been integrated into this dataset depicting aerial fire retardant avoidance areas for hydrographic features. The following process was used to develop the hydrographic areas to be avoided by aerial fire retardant. Initially, all intermittent/ephemeral and perennial features were buffered by 300 feet by the Forest/Region units. Subsequently, Forest/Region units may have extended these buffers locally based on their requirements. There may be overlapping features that have been created during the buffering process, so one must dissolve features before calculating any area values. Data is symbolized by FCODE. Using the FCODE attribute, streams/rivers/waterbodies are categorized into perennial and intermittent/ephemeral types. Avoidance features (streams and rivers) with FCODES 46003 and 46007, as well as features (lakes and other waterbody) with FCODES 39001, 39005, 39006, 43614, 46601 are considered intermittent/ephemeral features. All other FCODES are considered to be perennial features. All underground and covered water features (e.g., pipelines) are excluded. When symbolizing this information, perennial features should be drawn on top of intermittent/ephemeral features to give the proper message. Data displays at scales larger than 1:1,250,000. Data uses a Web Mercator projection. The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_R02.AFRAA_Hydro.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/21c206aaf61b4cd09b838af2c78ce295_1</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/21c206aaf61b4cd09b838af2c78ce295_1/license.json</license><modified>2017-12-01</modified><spatial>-110.1716,36.9938,-100.089,45.0053</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/21c206aaf61b4cd09b838af2c78ce295_1</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/21c206aaf61b4cd09b838af2c78ce295_1</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_AerialFireRetardantHydrographicAvoidanceAreas_01/MapServer/1</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/21c206aaf61b4cd09b838af2c78ce295_1.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/21c206aaf61b4cd09b838af2c78ce295_1.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/21c206aaf61b4cd09b838af2c78ce295_1.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/21c206aaf61b4cd09b838af2c78ce295_1.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_AerialFireRetardantHydrographicAvoidanceAreas_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_AerialFireRetardantHydrographicAvoidanceAreas_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Aerial Fire Retardant Hydrographic Avoidance Areas: Aquatic - Region 3 (Feature Layer)</title><description>Aerial retardant avoidance area for hydrographic feature data are based on high resolution National Hydrographic Dataset (NHD) produced by USGS and available from the USFS. Forests and/or regions have had the opportunity to modify the default NHD water representation (300ft buffer from all water features) for their areas of interest to accurately represent aerial fire retardant avoidance areas as described in the 2011 Record of Decision for the Nationwide Aerial Application of Fire Retardant on National Forest System Land EIS. These changes have been integrated into this dataset depicting aerial fire retardant avoidance areas for hydrographic features. The following process was used to develop the hydrographic areas to be avoided by aerial fire retardant. Initially, all intermittent/ephemeral and perennial features were buffered by 300 feet by the Forest/Region units. Subsequently, Forest/Region units may have extended these buffers locally based on their requirements. There may be overlapping features that have been created during the buffering process, so one must dissolve features before calculating any area values. Data is symbolized by FCODE. Using the FCODE attribute, streams/rivers/waterbodies are categorized into perennial and intermittent/ephemeral types. Avoidance features (streams and rivers) with FCODES 46003 and 46007, as well as features (lakes and other waterbody) with FCODES 39001, 39005, 39006, 43614, 46601 are considered intermittent/ephemeral features. All other FCODES are considered to be perennial features. All underground and covered water features (e.g., pipelines) are excluded. When symbolizing this information, perennial features should be drawn on top of intermittent/ephemeral features to give the proper message. Data displays at scales larger than 1:1,250,000. Data uses a Web Mercator projection. The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_R03.AFRAA_Hydro.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/40bd82857f7b4d36afc5f29cc829e11d_2</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/40bd82857f7b4d36afc5f29cc829e11d_2/license.json</license><modified>2017-08-24</modified><spatial>-113.0319,31.3325,-99.54,37.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/40bd82857f7b4d36afc5f29cc829e11d_2</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/40bd82857f7b4d36afc5f29cc829e11d_2</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_AerialFireRetardantHydrographicAvoidanceAreas_01/MapServer/2</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/40bd82857f7b4d36afc5f29cc829e11d_2.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/40bd82857f7b4d36afc5f29cc829e11d_2.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/40bd82857f7b4d36afc5f29cc829e11d_2.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/40bd82857f7b4d36afc5f29cc829e11d_2.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_AerialFireRetardantHydrographicAvoidanceAreas_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_AerialFireRetardantHydrographicAvoidanceAreas_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Aerial Fire Retardant Hydrographic Avoidance Areas: Aquatic - Region 4 (Feature Layer)</title><description>Aerial retardant avoidance area for hydrographic feature data are based on high resolution National Hydrographic Dataset (NHD) produced by USGS and available from the USFS. Forests and/or regions have had the opportunity to modify the default NHD water representation (300ft buffer from all water features) for their areas of interest to accurately represent aerial fire retardant avoidance areas as described in the 2011 Record of Decision for the Nationwide Aerial Application of Fire Retardant on National Forest System Land EIS. These changes have been integrated into this dataset depicting aerial fire retardant avoidance areas for hydrographic features. The following process was used to develop the hydrographic areas to be avoided by aerial fire retardant. Initially, all intermittent/ephemeral and perennial features were buffered by 300 feet by the Forest/Region units. Subsequently, Forest/Region units may have extended these buffers locally based on their requirements. There may be overlapping features that have been created during the buffering process, so one must dissolve features before calculating any area values. Data is symbolized by FCODE. Using the FCODE attribute, streams/rivers/waterbodies are categorized into perennial and intermittent/ephemeral types. Avoidance features (streams and rivers) with FCODES 46003 and 46007, as well as features (lakes and other waterbody) with FCODES 39001, 39005, 39006, 43614, 46601 are considered intermittent/ephemeral features. All other FCODES are considered to be perennial features. All underground and covered water features (e.g., pipelines) are excluded. When symbolizing this information, perennial features should be drawn on top of intermittent/ephemeral features to give the proper message. Data displays at scales larger than 1:1,250,000. Data uses a Web Mercator projection. The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_R04.AFRAA_Hydro.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/17c6eea511bb484cbea3146afaa82cf5_3</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/17c6eea511bb484cbea3146afaa82cf5_3/license.json</license><modified>2017-12-17</modified><spatial>-120.1112,35.9163,-108.8894,45.7027</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/17c6eea511bb484cbea3146afaa82cf5_3</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/17c6eea511bb484cbea3146afaa82cf5_3</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_AerialFireRetardantHydrographicAvoidanceAreas_01/MapServer/3</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/17c6eea511bb484cbea3146afaa82cf5_3.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/17c6eea511bb484cbea3146afaa82cf5_3.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/17c6eea511bb484cbea3146afaa82cf5_3.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/17c6eea511bb484cbea3146afaa82cf5_3.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_AerialFireRetardantHydrographicAvoidanceAreas_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_AerialFireRetardantHydrographicAvoidanceAreas_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Aerial Fire Retardant Hydrographic Avoidance Areas: Aquatic - Region 5 (Feature Layer)</title><description>Aerial retardant avoidance area for hydrographic feature data are based on high resolution National Hydrographic Dataset (NHD) produced by USGS and available from the USFS. Forests and/or regions have had the opportunity to modify the default NHD water representation (300ft buffer from all water features) for their areas of interest to accurately represent aerial fire retardant avoidance areas as described in the 2011 Record of Decision for the Nationwide Aerial Application of Fire Retardant on National Forest System Land EIS. These changes have been integrated into this dataset depicting aerial fire retardant avoidance areas for hydrographic features. The following process was used to develop the hydrographic areas to be avoided by aerial fire retardant. Initially, all intermittent/ephemeral and perennial features were buffered by 300 feet by the Forest/Region units. Subsequently, Forest/Region units may have extended these buffers locally based on their requirements. There may be overlapping features that have been created during the buffering process, so one must dissolve features before calculating any area values. Data is symbolized by FCODE. Using the FCODE attribute, streams/rivers/waterbodies are categorized into perennial and intermittent/ephemeral types. Avoidance features (streams and rivers) with FCODES 46003 and 46007, as well as features (lakes and other waterbody) with FCODES 39001, 39005, 39006, 43614, 46601 are considered intermittent/ephemeral features. All other FCODES are considered to be perennial features. All underground and covered water features (e.g., pipelines) are excluded. When symbolizing this information, perennial features should be drawn on top of intermittent/ephemeral features to give the proper message. Data displays at scales larger than 1:1,250,000. Data uses a Web Mercator projection. The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_R05.AFRAA_Hydro.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5bd9e75db3f2413c828cc8cd36fa130d_4</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5bd9e75db3f2413c828cc8cd36fa130d_4/license.json</license><modified>2017-12-01</modified><spatial>-124.0917,32.6582,-116.3821,42.0837</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5bd9e75db3f2413c828cc8cd36fa130d_4</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5bd9e75db3f2413c828cc8cd36fa130d_4</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_AerialFireRetardantHydrographicAvoidanceAreas_01/MapServer/4</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5bd9e75db3f2413c828cc8cd36fa130d_4.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5bd9e75db3f2413c828cc8cd36fa130d_4.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5bd9e75db3f2413c828cc8cd36fa130d_4.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5bd9e75db3f2413c828cc8cd36fa130d_4.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_AerialFireRetardantHydrographicAvoidanceAreas_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_AerialFireRetardantHydrographicAvoidanceAreas_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Aerial Fire Retardant Hydrographic Avoidance Areas: Aquatic - Region 8 (Feature Layer)</title><description>Aerial retardant avoidance area for hydrographic feature data are based on high resolution National Hydrographic Dataset (NHD) produced by USGS and available from the USFS. Forests and/or regions have had the opportunity to modify the default NHD water representation (300ft buffer from all water features) for their areas of interest to accurately represent aerial fire retardant avoidance areas as described in the 2011 Record of Decision for the Nationwide Aerial Application of Fire Retardant on National Forest System Land EIS. These changes have been integrated into this dataset depicting aerial fire retardant avoidance areas for hydrographic features. The following process was used to develop the hydrographic areas to be avoided by aerial fire retardant. Initially, all intermittent/ephemeral and perennial features were buffered by 300 feet by the Forest/Region units. Subsequently, Forest/Region units may have extended these buffers locally based on their requirements. There may be overlapping features that have been created during the buffering process, so one must dissolve features before calculating any area values. Data is symbolized by FCODE. Using the FCODE attribute, streams/rivers/waterbodies are categorized into perennial and intermittent/ephemeral types. Avoidance features (streams and rivers) with FCODES 46003 and 46007, as well as features (lakes and other waterbody) with FCODES 39001, 39005, 39006, 43614, 46601 are considered intermittent/ephemeral features. All other FCODES are considered to be perennial features. All underground and covered water features (e.g., pipelines) are excluded. When symbolizing this information, perennial features should be drawn on top of intermittent/ephemeral features to give the proper message. Data displays at scales larger than 1:1,250,000. Data uses a Web Mercator projection. The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_R08.AFRAA_Hydro.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ade068b849e24c02b17273175b1c7ab0_6</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ade068b849e24c02b17273175b1c7ab0_6/license.json</license><modified>2017-08-24</modified><spatial>-97.7863,18.2446,-65.7087,39.1327</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ade068b849e24c02b17273175b1c7ab0_6</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ade068b849e24c02b17273175b1c7ab0_6</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_AerialFireRetardantHydrographicAvoidanceAreas_01/MapServer/6</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ade068b849e24c02b17273175b1c7ab0_6.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ade068b849e24c02b17273175b1c7ab0_6.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ade068b849e24c02b17273175b1c7ab0_6.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ade068b849e24c02b17273175b1c7ab0_6.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_AerialFireRetardantHydrographicAvoidanceAreas_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_AerialFireRetardantHydrographicAvoidanceAreas_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Aerial Fire Retardant Hydrographic Avoidance Areas: Aquatic - Region 9 (Feature Layer)</title><description>Aerial retardant avoidance area for hydrographic feature data are based on high resolution National Hydrographic Dataset (NHD) produced by USGS and available from the USFS. Forests and/or regions have had the opportunity to modify the default NHD water representation (300ft buffer from all water features) for their areas of interest to accurately represent aerial fire retardant avoidance areas as described in the 2011 Record of Decision for the Nationwide Aerial Application of Fire Retardant on National Forest System Land EIS. These changes have been integrated into this dataset depicting aerial fire retardant avoidance areas for hydrographic features. The following process was used to develop the hydrographic areas to be avoided by aerial fire retardant. Initially, all intermittent/ephemeral and perennial features were buffered by 300 feet by the Forest/Region units. Subsequently, Forest/Region units may have extended these buffers locally based on their requirements. There may be overlapping features that have been created during the buffering process, so one must dissolve features before calculating any area values. Data is symbolized by FCODE. Using the FCODE attribute, streams/rivers/waterbodies are categorized into perennial and intermittent/ephemeral types. Avoidance features (streams and rivers) with FCODES 46003 and 46007, as well as features (lakes and other waterbody) with FCODES 39001, 39005, 39006, 43614, 46601 are considered intermittent/ephemeral features. All other FCODES are considered to be perennial features. All underground and covered water features (e.g., pipelines) are excluded. When symbolizing this information, perennial features should be drawn on top of intermittent/ephemeral features to give the proper message. Data displays at scales larger than 1:1,250,000. Data uses a Web Mercator projection. The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_R09.AFRAA_Hydro.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/737748076cd144aaa4d6cd89a57f91d6_7</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/737748076cd144aaa4d6cd89a57f91d6_7/license.json</license><modified>2017-12-01</modified><spatial>-94.6717,36.4991,-70.6268,48.6416</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/737748076cd144aaa4d6cd89a57f91d6_7</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/737748076cd144aaa4d6cd89a57f91d6_7</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_AerialFireRetardantHydrographicAvoidanceAreas_01/MapServer/7</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/737748076cd144aaa4d6cd89a57f91d6_7.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/737748076cd144aaa4d6cd89a57f91d6_7.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/737748076cd144aaa4d6cd89a57f91d6_7.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/737748076cd144aaa4d6cd89a57f91d6_7.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_AerialFireRetardantHydrographicAvoidanceAreas_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_AerialFireRetardantHydrographicAvoidanceAreas_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Beaver monitoring data from the Chequamegon-Nicolet National Forest, Wisconsin</title><description>The primary raw data are aerial counts of beaver (Castor canadensis) colonies on streams across the Chequamegon-Nicolet National Forest (CNNF). These aerial counts were performed in the fall of each year from 1987 (Nicolet side of CNNF) or 1997 (Chequamegon side of CNNF). Based on the colony counts, we also provide derived beaver colony density values. The surveyed streams were classified into four categories: managed trout, non-managed trout, managed non-trout, and non-managed non-trout. Trout versus non-trout status was assigned by the CNNF using Wisconsin Department of Natural Resources information. Managed streams were those on which targeted removal of beavers was conducted in the spring of each year under a contract with USDA-Wildlife Services. Data also include proportion of stream-side aspen, temperature, snowfall, and soil moisture as measured by the Palmer Drought Severity Index.</description><accessLevel>public</accessLevel><issued>2017-11-17</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/c31ffdb7e69a4f1dbf4983bddb27d262</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/c31ffdb7e69a4f1dbf4983bddb27d262/license.json</license><modified>2017-11-27</modified><spatial>-180.0,-90.0,180.0,90.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/c31ffdb7e69a4f1dbf4983bddb27d262</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://doi.org/10.2737/RDS-2016-0013</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Brush Disposal Funded Activities (Feature Layer)</title><description>Depicts the area of activities funded through BDBD and PPPP budget line item and reported through the FACTS database. The objective of the BD Program is to dispose of unwanted slash or other debris created by timber purchaser operations on timber sale contracts, stewardship contracts and permits, not disposed of by the purchaser. Activities are self-reported by Forest Service Units. The Brush Disposal Program (BD) objective of the BD Program was established in 1916. It requires all purchasers of National Forest timber make deposits to the United States for the estimated cost of disposing of brush and other debris resulting from its cutting operations. Brush disposal activities must be consistent with direction established in forest land and resource management plans, identified in environmental documents developed in accordance with the National Environmental Policy Act of 1969 (NEPA). &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_BrushDisposal.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-05-03</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a56d063219a7458abd09c46f28973f6f_8</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a56d063219a7458abd09c46f28973f6f_8/license.json</license><modified>2018-01-01</modified><spatial>-124.4162,32.6392,-72.8944,49.0012</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a56d063219a7458abd09c46f28973f6f_8</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a56d063219a7458abd09c46f28973f6f_8</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_BrushDisposal_01/MapServer/8</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a56d063219a7458abd09c46f28973f6f_8.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a56d063219a7458abd09c46f28973f6f_8.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a56d063219a7458abd09c46f28973f6f_8.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a56d063219a7458abd09c46f28973f6f_8.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_BrushDisposal_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Chaparral shrub bulk density and fire behavior</title><description>This data publication contains bulk density measurements from two typical species of chaparral shrub which were harvested in 2010 from the North Mountain Experimental Area near Riverside, CA (NMEA), namely chamise (Adenostoma fasciculatum) and manzanita (Arctostaphylos sp.). Data include shrub height, crown length, crown width, crown base height, and moisture content, as well as total mass, mass by fuel particle size class, crown volume, and calculated bulk density by shrub height segments. Also included are fire characteristics data from a companion study of fire behavior in similar individual 4-year old live chamise shrubs. The fire behavior data include shrub bulk density, moisture content and total mass consumed during each experimental run for multiple bulk density classes, wind speeds, and ignition methods. Burn time, horizontal and vertical flame spread rates, flame length and flame angle, as well as maximum mass loss rate and peak gas temperatures were also recorded. The R code used to analyze these fire characteristics in Li et al. 2016 is also included.</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/1c8b9e5e841b4160bdbe6b2cb77a6bb7</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/1c8b9e5e841b4160bdbe6b2cb77a6bb7/license.json</license><modified>2017-11-27</modified><spatial>-180.0,-90.0,180.0,90.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/1c8b9e5e841b4160bdbe6b2cb77a6bb7</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://doi.org/10.2737/RDS-2016-0031</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Collaborative Forest Landscape Restoration Program: Line (Feature Layer)</title><description>The Forest Service's Natural Resource Manager (NRM) Forest Activity Tracking System (FACTS) is the agency standard for managing information aboutactivities related to fire/fuels, silviculture, and invasive species. FACTS is an activity tracking application for all levels of the Forest Service. The application allows tracking and monitoring of NEPA decisions as well as the ability to create and manage KV trust fund plans at the timber sale level. This application complements its companion NRM applications, which cover the spectrum of living and non-living natural resource information. This layer represents Collaborative Forest Landscape Restoration (CFLR) Program project activities. Also included are other High Priority Restoration projects that are funded outside of CFLR. It is important to note that this layer does not contain all of the approved project activities. Instead, these are the accomplishments that project groups uploaded to the Forest Service corporate data holdings in FACTS. As spatial data is a new requirement for the program, improvements to the quality and comprehensiveness of this data is expected in coming years. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_CFLRP_LN.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/19ef08fb65ae4d93a094212f5735b068_3</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/19ef08fb65ae4d93a094212f5735b068_3/license.json</license><modified>2017-12-01</modified><spatial>-121.3544,34.1436,-92.7712,47.9218</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/19ef08fb65ae4d93a094212f5735b068_3</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/19ef08fb65ae4d93a094212f5735b068_3</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_CFLRProjectAccomplishments_01/MapServer/3</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/19ef08fb65ae4d93a094212f5735b068_3.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/19ef08fb65ae4d93a094212f5735b068_3.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/19ef08fb65ae4d93a094212f5735b068_3.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/19ef08fb65ae4d93a094212f5735b068_3.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_CFLRProjectAccomplishments_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Collaborative Forest Landscape Restoration Program: Point (Feature Layer)</title><description>The Forest Service's Natural Resource Manager (NRM) Forest Activity Tracking System (FACTS) is the agency standard for managing information aboutactivities related to fire/fuels, silviculture, and invasive species. FACTS is an activity tracking application for all levels of the Forest Service. The application allows tracking and monitoring of NEPA decisions as well as the ability to create and manage KV trust fund plans at the timber sale level. This application complements its companion NRM applications, which cover the spectrum of living and non-living natural resource information. This layer represents Collaborative Forest Landscape Restoration (CFLR) Program project activities. Also included are other High Priority Restoration projects that are funded outside of CFLR. It is important to note that this layer does not contain all of the approved project activities. Instead, these are the accomplishments that project groups uploaded to the Forest Service corporate data holdings in FACTS. As spatial data is a new requirement for the program, improvements to the quality and comprehensiveness of this data is expected in coming years. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_CFLRP_PT.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b5d77a243f984511a22e7377479cca41_2</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b5d77a243f984511a22e7377479cca41_2/license.json</license><modified>2017-08-24</modified><spatial>-121.7047,30.9311,-88.8414,47.885</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b5d77a243f984511a22e7377479cca41_2</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b5d77a243f984511a22e7377479cca41_2</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_CFLRProjectAccomplishments_01/MapServer/2</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b5d77a243f984511a22e7377479cca41_2.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b5d77a243f984511a22e7377479cca41_2.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b5d77a243f984511a22e7377479cca41_2.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b5d77a243f984511a22e7377479cca41_2.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_CFLRProjectAccomplishments_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Collaborative Forest Landscape Restoration Program: Polygon (Feature Layer)</title><description>The Forest Service's Natural Resource Manager (NRM) Forest Activity Tracking System (FACTS) is the agency standard for managing information aboutactivities related to fire/fuels, silviculture, and invasive species. FACTS is an activity tracking application for all levels of the Forest Service. The application allows tracking and monitoring of NEPA decisions as well as the ability to create and manage KV trust fund plans at the timber sale level. This application complements its companion NRM applications, which cover the spectrum of living and non-living natural resource information. This layer represents Collaborative Forest Landscape Restoration (CFLR) Program project activities. Also included are other High Priority Restoration projects that are funded outside of CFLR. It is important to note that this layer does not contain all of the approved project activities. Instead, these are the accomplishments that project groups uploaded to the Forest Service corporate data holdings in FACTS. As spatial data is a new requirement for the program, improvements to the quality and comprehensiveness of this data is expected in coming years. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_CFLRP_PL.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/8d3fc880a28e4edfa75a809d4315abbf_4</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/8d3fc880a28e4edfa75a809d4315abbf_4/license.json</license><modified>2017-08-24</modified><spatial>-121.8458,30.1799,-81.5939,49.0006</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/8d3fc880a28e4edfa75a809d4315abbf_4</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/8d3fc880a28e4edfa75a809d4315abbf_4</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_CFLRProjectAccomplishments_01/MapServer/4</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/8d3fc880a28e4edfa75a809d4315abbf_4.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/8d3fc880a28e4edfa75a809d4315abbf_4.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/8d3fc880a28e4edfa75a809d4315abbf_4.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/8d3fc880a28e4edfa75a809d4315abbf_4.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_CFLRProjectAccomplishments_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Collaborative Forest Landscape Restoration Project Boundaries (Feature Layer)</title><description>Depicts the boundaries for the Collaborative Forest Landscape Restoration (CFLR) and High Priority Restoration (HRP) projects. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.CFLR_HPRP_ProjectBoundary.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/8c18a3db7a0a4142b94101641f417ce4_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/8c18a3db7a0a4142b94101641f417ce4_0/license.json</license><modified>2017-12-01</modified><spatial>-121.8195,30.1799,-81.5656,49.0009</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/8c18a3db7a0a4142b94101641f417ce4_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/8c18a3db7a0a4142b94101641f417ce4_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_CFLRProjectAccomplishments_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/8c18a3db7a0a4142b94101641f417ce4_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/8c18a3db7a0a4142b94101641f417ce4_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/8c18a3db7a0a4142b94101641f417ce4_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/8c18a3db7a0a4142b94101641f417ce4_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_CFLRProjectAccomplishments_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Coram Experimental Forest daily meteorology data for Desert Ridge and Terrace Hills weather stations: 1996-2015</title><description>This data publication contains daily meteorological data collected at the Desert Ridge and Terrace Hills weather stations located on the Coram Experimental Forest (Flathead National Forest) in Montana. The Terrace Hills weather station was installed in May of 1996, and the Desert Ridge weather station was installed in May of 2001. Data are included up through 2015 for both stations. In August (Terrace Hills) and September (Desert Ridge) of 2015 the meteorological sensors, new data loggers were installed and the program updated to collect data on an hourly basis. We are more confident in the new data (not yet published) than the data included in this publication because the old sensors were not maintained as recommended by the manufacturer - as detailed in the accuracy report.</description><accessLevel>public</accessLevel><issued>2017-11-24</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f110376ce18643098da4bc3a121f45ac</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f110376ce18643098da4bc3a121f45ac/license.json</license><modified>2017-12-01</modified><spatial>-180.0,-90.0,180.0,90.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f110376ce18643098da4bc3a121f45ac</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://doi.org/10.2737/RDS-2017-0003</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Current Invasive Plants (Feature Layer)</title><description>The Current Invasive Plants (InvasivePlantCurrent) feature class contains only the most recent or latest invasive Plant Infestation polygons collected by the National Invasive Plant Inventory Protocol. Includes most recent and excludes historic observations. Includes Site ID, Plant code, status etc. for the infesting species, date, area and other basic data. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.InvasivePlantCurrent.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-11</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/cfa7600b5e81444c83adb26f798fb7f2_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/cfa7600b5e81444c83adb26f798fb7f2_0/license.json</license><modified>2017-08-24</modified><spatial>-148.593,18.379,-70.546,61.134</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/cfa7600b5e81444c83adb26f798fb7f2_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/cfa7600b5e81444c83adb26f798fb7f2_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_InvasiveSpecies_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/cfa7600b5e81444c83adb26f798fb7f2_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/cfa7600b5e81444c83adb26f798fb7f2_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/cfa7600b5e81444c83adb26f798fb7f2_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/cfa7600b5e81444c83adb26f798fb7f2_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_InvasiveSpecies_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_InvasiveSpecies_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Daily black carbon emissions data from fires in Northern Eurasia for 2002?2015</title><description>This data publication, the Fire Emission Inventory - Northern Eurasia (FEI-NE), consists of a high spatial resolution (500 meter ? 500 meter) dataset of daily black carbon (BC) emissions from forest, grassland, shrubland, and savanna fires in Northern Eurasia from 2002 to 2015. BC emissions were estimated using land cover maps and detected burned areas based on MODIS (MODerate Resolution Imaging Spectroradiometer) remote sensing products, the Forest Inventory Survey of the Russian Federation, the IPCC Tier-1 Global Biomass Carbon Map for the year 2000, and cover type specific BC emission factors. The data publication includes land cover type, fuel loading, and fuel consumption which are input for the model used to estimate BC emissions. These data provide daily emission sources for the assessment of the transport and deposition of BC on Arctic ice and snow.</description><accessLevel>public</accessLevel><issued>2017-11-24</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/c8d640f7cad24231a072c680444a171d</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/c8d640f7cad24231a072c680444a171d/license.json</license><modified>2017-12-01</modified><spatial>-180.0,-90.0,180.0,90.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/c8d640f7cad24231a072c680444a171d</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://doi.org/10.2737/RDS-2016-0036</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data and source code for &amp;quot;A Bayesian model to correct underestimated 3D wind speeds from sonic anemometers increases turbulent components of the surface energy balance&amp;quot;</title><description>Sonic anemometers are the principal instruments in micrometeorological studies of turbulence and ecosystem fluxes. Common designs underestimate vertical wind measurements because they lack a correction for transducer shadowing, with no consensus on a suitable correction. We present a subset of data collected during field experiments in 2011 and 2013 featuring two or four CSAT3 sonic anemometers. We introduce a Bayesian analysis to resolve the three-dimensional correction by optimizing differences between anemometers mounted both vertically and horizontally. A grid of 512 points (~ ±5°resolution in wind location) is defined on a sphere around the sonic anemometer, from which the shadow correction for each transducer-pair is derived from a set of 138 unique state variables describing the quadrants and borders. Using the Markov chain Monte Carlo (MCMC) method, the Bayesian model proposes new values for each state variable, recalculates the fast-response dataset, summarizes the five-minute wind statistics, and accepts the proposed new values based on the probability that they make measurements from vertical and horizontal anemometers more equivalent. MCMC chains were constructed for three different prior distributions describing the state variables: no shadow correction, the Kaimal correction for transducer shadowing, and double the Kaimal correction, all initialized with 10% uncertainty. This archive includes all data and source code required to create the 3-D posterior correction and to analyze its effect during the 2011 and 2013 field experiments plus a 2016 field validation experiment. There are 20 Hz wind velocity and temperature data from the 2011 and 2013 field experiments contained within 74,664 files (one file each per five-minute period, replicate anemometer, and separated between wind and temperature) and 20 Hz wind velocity and temperature data from the 2016 experiment contained within 1883 files (one file each per each five-minute period, each file contains 3 replicate anemometers). R code is provided to estimate the posterior correction from the 2011 and 2013 wind data using Bayesian analysis assuming three prior corrections: a flat prior, the Kaimal correction, and double the Kaimal correction. Matlab code is provided to normalize, thin, and scale the posterior correction into its final form. Matlab code is provided to apply the posterior correction and to analyze is effect for both sets of data. Auxiliary files to execute the code are also provided.</description><accessLevel>public</accessLevel><issued>2017-11-24</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a7f5500725024340b188066be3ed608d</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a7f5500725024340b188066be3ed608d/license.json</license><modified>2017-12-01</modified><spatial>-180.0,-90.0,180.0,90.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a7f5500725024340b188066be3ed608d</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://doi.org/10.2737/RDS-2016-0037</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Data for pollen gene dispersal of black walnut across a heterogeneous landscape in central Indiana</title><description>Black walnut stands from four sites located in Indiana in the Midwestern United States were sampled. Two sites are forest fragments, both of which are on private agricultural land in Carol County. The other two sites are on continuous forests: Turkey Run State Park in Parke County and Long Hollow State Forest in Crawford County. Leaves from every living black walnut tree on these four sites were collected in 2002-2004, and then their DNA extracted and genotyping carried out at Purdue University 2004-2006. Data include tree diameter, tree location, and the generated alleles or amplicons for each of the 12 microsatellites for that individual tree.</description><accessLevel>public</accessLevel><issued>2017-11-24</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3f4a2544c9b646b6b31f83ef678e34b1</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3f4a2544c9b646b6b31f83ef678e34b1/license.json</license><modified>2017-12-01</modified><spatial>-180.0,-90.0,180.0,90.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3f4a2544c9b646b6b31f83ef678e34b1</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://doi.org/10.2737/RDS-2017-0002</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Eastern United States wildfire hazard model: 2000-2009</title><description>The wildfire hazard models are a set of 12 raster geospatial products produced by the USDA Forest Service, Northern Research Station that are intended to be used in analyses of wildfire hazards in the region of New Jersey, Ohio, and Pennsylvania. Each raster represents the monthly hazard of a wildfire occurring within a 30 meter pixel as a probability. A statistical model for each month was parameterized with an integrated moisture index, a cumulative drought severity index for the month during the period 2000 to 2009, percent forest cover, and wildland-urban interface classifications to predict the probability of wildfire occurrence based on reported wildfires. Each model included 10 iterations and the raster products of average, minimum, maximum, median, and standard deviation of the predicted probability of a wildfire occurrence is provided. All raster values were converted to integers by multiplying by 10 to reduce file sizes. Therefore, the range of probabilities is 0 to 1000 for the modeled occurrence of a wildfire.</description><accessLevel>public</accessLevel><issued>2017-11-24</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/43036f932cb44f4cb7c15c84a263eadf</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/43036f932cb44f4cb7c15c84a263eadf/license.json</license><modified>2017-11-27</modified><spatial>-180.0,-90.0,180.0,90.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/43036f932cb44f4cb7c15c84a263eadf</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://doi.org/10.2737/RDS-2016-0035</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Ecological Provinces (Feature Layer)</title><description>This data set includes polygons for ecological provinces within the conterminous United States. This data set contains regional geographic delineations for analysis of ecological relationships across ecological units. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.EcoMapProvinces.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d158684b88ff4505b6b35f78873e6d04_1</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d158684b88ff4505b6b35f78873e6d04_1/license.json</license><modified>2017-12-01</modified><spatial>-124.7626,24.5307,-66.798,49.3864</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d158684b88ff4505b6b35f78873e6d04_1</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d158684b88ff4505b6b35f78873e6d04_1</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_EcomapSections_01/MapServer/1</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d158684b88ff4505b6b35f78873e6d04_1.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d158684b88ff4505b6b35f78873e6d04_1.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d158684b88ff4505b6b35f78873e6d04_1.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d158684b88ff4505b6b35f78873e6d04_1.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Ecological Sections (Feature Layer)</title><description>This data set includes polygons for ecological sections within Subregions within the conterminous United States. 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This data set contains regional geographic delineations for analysis of ecological relationships across ecological units. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.EcomapSubsections.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d5b2fc2f05534d16be85122c4b3f0104_3</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d5b2fc2f05534d16be85122c4b3f0104_3/license.json</license><modified>2017-12-06</modified><spatial>-124.7626,24.5307,-66.798,49.3864</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d5b2fc2f05534d16be85122c4b3f0104_3</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d5b2fc2f05534d16be85122c4b3f0104_3</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_EcomapSections_01/MapServer/3</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d5b2fc2f05534d16be85122c4b3f0104_3.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d5b2fc2f05534d16be85122c4b3f0104_3.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d5b2fc2f05534d16be85122c4b3f0104_3.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d5b2fc2f05534d16be85122c4b3f0104_3.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Existing Vegetation: Region 5 - Central Coast (Feature Layer)</title><description>This Existing Vegetation (EVeg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000. The geographic extent entails the northeastern portion of CALVEG Zone 6, Central Coast. Source imagery for this layer ranges from the year 1998 to 2015. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).<2E>&lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.EVMid_R05_CentralCoast.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2018-01-19</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b5c6df6b847147c1ad2f998250712278_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b5c6df6b847147c1ad2f998250712278_0/license.json</license><modified>2018-01-22</modified><spatial>-122.5208,34.7419,-119.3562,38.4672</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b5c6df6b847147c1ad2f998250712278_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b5c6df6b847147c1ad2f998250712278_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_ExistingVegetationRegion05_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b5c6df6b847147c1ad2f998250712278_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b5c6df6b847147c1ad2f998250712278_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b5c6df6b847147c1ad2f998250712278_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b5c6df6b847147c1ad2f998250712278_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Existing Vegetation: Region 5 - Central Valley (Feature Layer)</title><description>This Existing Vegetation (EVeg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000. The geographic extent entails the northeastern portion of CALVEG Zone 5, Central Valley. Source imagery for this layer ranges from the year 1998 to 2015. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).<2E>&lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.EVMid_R05_CentralValley.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2018-01-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/00ea3c1b99ea4eaa9afacfffc96884d1_1</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/00ea3c1b99ea4eaa9afacfffc96884d1_1/license.json</license><modified>2018-01-22</modified><spatial>-122.9001,34.7826,-118.314,40.7346</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/00ea3c1b99ea4eaa9afacfffc96884d1_1</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/00ea3c1b99ea4eaa9afacfffc96884d1_1</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_ExistingVegetationRegion05_01/MapServer/1</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/00ea3c1b99ea4eaa9afacfffc96884d1_1.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/00ea3c1b99ea4eaa9afacfffc96884d1_1.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/00ea3c1b99ea4eaa9afacfffc96884d1_1.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/00ea3c1b99ea4eaa9afacfffc96884d1_1.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Existing Vegetation: Region 5 - Great Basin (Feature Layer)</title><description>This Existing Vegetation (Eveg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000 for CALVEG Zone 9, the Great Basin. Source imagery for this layer ranges from the year 1999 to 2009. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).<2E>&lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.EVMid_R05_GreatBasin.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2018-01-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/afc91e1450d048a485d237904258c854_2</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/afc91e1450d048a485d237904258c854_2/license.json</license><modified>2018-01-22</modified><spatial>-120.7731,36.7467,-117.8764,41.9964</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/afc91e1450d048a485d237904258c854_2</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/afc91e1450d048a485d237904258c854_2</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_ExistingVegetationRegion05_01/MapServer/2</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/afc91e1450d048a485d237904258c854_2.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/afc91e1450d048a485d237904258c854_2.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/afc91e1450d048a485d237904258c854_2.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/afc91e1450d048a485d237904258c854_2.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Existing Vegetation: Region 5 - North Coast East (Feature Layer)</title><description>This Existing Vegetation (Eveg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000. The geographic extent entails the northeastern portion of CALVEG Zone 1 (North Coast), Ecoregion Section M261A. Source imagery for this layer ranges from the year 1998 to 2015. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database. USGS Land Use / Land Cover Anderson 1 classification system is included in the database to meet national standard requirements. Mapping standards meet requirements of the USDA Forest Service as defined by the FS GIS data dictionary, FGDC Vegetation standards and the FS Existing Vegetation Classification and Mapping Technical Guide. 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The geographic extent entails the middle portion of CALVEG Zone 1 (North Coast), Ecoregion Section M261B. Source imagery for this layer ranges from the year 1998 to 2015. 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The geographic extent entails the western portion of CALVEG Zone 1 (North Coast), Ecoregion Section 263A. Source imagery for this layer ranges from the year 1998 to 2015. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR). Go to this URL for full metadata description:<3A>&lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.EVMid_R05_NorCoastWest.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2018-01-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/753e0b386c5a4c4ea9411cb3dcae2efe_5</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/753e0b386c5a4c4ea9411cb3dcae2efe_5/license.json</license><modified>2018-01-22</modified><spatial>-124.4152,37.8154,-122.1218,42.0061</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/753e0b386c5a4c4ea9411cb3dcae2efe_5</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/753e0b386c5a4c4ea9411cb3dcae2efe_5</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_ExistingVegetationRegion05_01/MapServer/5</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/753e0b386c5a4c4ea9411cb3dcae2efe_5.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/753e0b386c5a4c4ea9411cb3dcae2efe_5.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/753e0b386c5a4c4ea9411cb3dcae2efe_5.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/753e0b386c5a4c4ea9411cb3dcae2efe_5.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Existing Vegetation: Region 5 - North Interior (Feature Layer)</title><description>This Existing Vegetation (Eveg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000. The geographic extent entails CALVEG Zone 2, North Interior. Source imagery for this layer ranges from the year 1999 to 2009. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).<2E>&lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.EVMid_R05_NorthInterior.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2018-01-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3467201361134277a76888d24ebeda10_6</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3467201361134277a76888d24ebeda10_6/license.json</license><modified>2018-01-22</modified><spatial>-122.6108,39.7266,-120.0219,42.017</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3467201361134277a76888d24ebeda10_6</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3467201361134277a76888d24ebeda10_6</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_ExistingVegetationRegion05_01/MapServer/6</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3467201361134277a76888d24ebeda10_6.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3467201361134277a76888d24ebeda10_6.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3467201361134277a76888d24ebeda10_6.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3467201361134277a76888d24ebeda10_6.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Existing Vegetation: Region 5 - North Sierra (Feature Layer)</title><description>This Existing Vegetation (Eveg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000. The geographic extent entails CALVEG Zone3, the North Sierra. Source imagery for this layer ranges from the year 2000 - 2014. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).<2E>&lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.EVMid_R05_NorthSierra.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2018-01-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0815c3f5fda44584a34fc7d82d44dfb2_7</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0815c3f5fda44584a34fc7d82d44dfb2_7/license.json</license><modified>2018-01-22</modified><spatial>-121.6118,38.3426,-119.7778,40.4255</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0815c3f5fda44584a34fc7d82d44dfb2_7</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0815c3f5fda44584a34fc7d82d44dfb2_7</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_ExistingVegetationRegion05_01/MapServer/7</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0815c3f5fda44584a34fc7d82d44dfb2_7.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0815c3f5fda44584a34fc7d82d44dfb2_7.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0815c3f5fda44584a34fc7d82d44dfb2_7.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0815c3f5fda44584a34fc7d82d44dfb2_7.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Existing Vegetation: Region 5 - South Coast (Feature Layer)</title><description>This Existing Vegetation (Eveg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000. The geographic extent entails the northeastern portion of CALVEG Zone 7, the South Coast. Source imagery for this layer ranges from the year 2002 to 2010. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).<2E>&lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.EVMid_R05_SouCoast.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2018-01-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0e43da06e9a142b891cbc5d43fc780ea_8</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0e43da06e9a142b891cbc5d43fc780ea_8/license.json</license><modified>2018-01-22</modified><spatial>-120.6615,32.5352,-115.9014,34.934</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0e43da06e9a142b891cbc5d43fc780ea_8</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0e43da06e9a142b891cbc5d43fc780ea_8</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_ExistingVegetationRegion05_01/MapServer/8</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0e43da06e9a142b891cbc5d43fc780ea_8.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0e43da06e9a142b891cbc5d43fc780ea_8.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0e43da06e9a142b891cbc5d43fc780ea_8.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0e43da06e9a142b891cbc5d43fc780ea_8.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Existing Vegetation: Region 5 - South Interior (Feature Layer)</title><description>This Existing Vegetation (Eveg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000 for CALVEG Zone 8, the South Interior. Source imagery for this layer ranges from the year 2000 to 2008. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).<2E>&lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.EVMid_R05_SouthInterior.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2018-01-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a251d8efde23428d947a38fb7d2782c1_9</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a251d8efde23428d947a38fb7d2782c1_9/license.json</license><modified>2018-01-22</modified><spatial>-118.7925,33.8704,-116.6157,37.0935</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a251d8efde23428d947a38fb7d2782c1_9</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a251d8efde23428d947a38fb7d2782c1_9</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_ExistingVegetationRegion05_01/MapServer/9</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a251d8efde23428d947a38fb7d2782c1_9.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a251d8efde23428d947a38fb7d2782c1_9.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a251d8efde23428d947a38fb7d2782c1_9.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a251d8efde23428d947a38fb7d2782c1_9.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Existing Vegetation: Region 5 - South Sierra (Feature Layer)</title><description>This Existing Vegetation (Eveg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000 for CALVEG Zone 4, the South Sierra. Source imagery for this layer ranges from the year 1995 - 2016. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).<2E>&lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.EVMid_R05_SouthSierra.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2018-01-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7ebead065bc8468fb3e48bcce4882d84_10</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7ebead065bc8468fb3e48bcce4882d84_10/license.json</license><modified>2018-01-22</modified><spatial>-120.6711,34.8167,-117.8695,38.7574</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7ebead065bc8468fb3e48bcce4882d84_10</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7ebead065bc8468fb3e48bcce4882d84_10</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_ExistingVegetationRegion05_01/MapServer/10</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7ebead065bc8468fb3e48bcce4882d84_10.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7ebead065bc8468fb3e48bcce4882d84_10.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7ebead065bc8468fb3e48bcce4882d84_10.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7ebead065bc8468fb3e48bcce4882d84_10.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Expected change in suitable habitat for riparian species along the Rio Grande in New Mexico under changing climate</title><description>Maximum Entropy (MaxEnt 3.3.3) methods were used to estimate expected change in suitable habitat for 12 different wildlife species under changing climate along the Rio Grande in New Mexico. Species include: Lucy's warbler, southwestern willow flycatcher, western yellow-billed cuckoo, New Mexican meadow jumping mouse, Hispid cotton rat, long-legged bat, Occult bat, Yuma bat, black-necked gartersnake, western painted turtle, american bullfrog, and northern leopard frog. These species were selected because their distribution is tied to a habitat or feature characteristic important to multiple species. Models of suitable habitat for each species are based on observation data from collection and survey samples taken from 1970 through 2013. MaxEnt related species' presence to climate, biophysical, and vegetation characteristics. We then projected future suitability of habitats by applying these models to future conditions as predicted by three climate models at three times periods, 2030 (2020-2060), 2060 (2050-2070), and 2090 (2080-2100). The climate data used in this study were derived from the: 1) Canadian Center for Climate Modeling and analysis (CCC) using the CGCM3.1 model, 2) Geophysical Fluid Dynamics laboratory (GFDL) using the CM2.1 model and, 3) Met office, Hadley Centre (HAD), using the HadCM3 model. The data in this product therefore represent four different time periods for three different models. Also included are consensus images designating where 1) all three climate models predicted suitable habitat, and 2) at least 2 models predicted suitable habitat.</description><accessLevel>public</accessLevel><issued>2017-11-01</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/36db129c5f174c818eaa59ce34ee3fc1</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/36db129c5f174c818eaa59ce34ee3fc1/license.json</license><modified>2017-11-27</modified><spatial>-180.0,-90.0,180.0,90.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/36db129c5f174c818eaa59ce34ee3fc1</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://doi.org/10.2737/RDS-2015-0037</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Experimental Forest and Range Areas (Feature Layer)</title><description>This polygon feature class contains the boundaries of 86 of 87 experimental forests, ranges and watersheds, including cooperating experimental areas. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Experimental_Area_Boundaries.xml" target="_blank"&gt;Experimental Forest and Range Areas Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2018-01-04</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/dab82e3111b84c4dbdcd9206b1679ce9_1</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/dab82e3111b84c4dbdcd9206b1679ce9_1/license.json</license><modified>2018-01-10</modified><spatial>-155.9652,17.7389,-64.7343,65.2409</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/dab82e3111b84c4dbdcd9206b1679ce9_1</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/dab82e3111b84c4dbdcd9206b1679ce9_1</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_ExperimentalForestandRange_01/MapServer/1</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/dab82e3111b84c4dbdcd9206b1679ce9_1.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/dab82e3111b84c4dbdcd9206b1679ce9_1.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/dab82e3111b84c4dbdcd9206b1679ce9_1.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/dab82e3111b84c4dbdcd9206b1679ce9_1.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_ExperimentalForestandRange_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Experimental Forest and Range Locations (Feature Layer)</title><description>This point feature class contains the locations of all 87 experimental forests, ranges and watersheds, including cooperating experimental areas.</description><accessLevel>public</accessLevel><issued>2018-01-04</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/736fc29df8f444d89648bd4e4d63fc69_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/736fc29df8f444d89648bd4e4d63fc69_0/license.json</license><modified>2018-01-04</modified><spatial>-155.9,17.7438,-64.7383,65.1841</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/736fc29df8f444d89648bd4e4d63fc69_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/736fc29df8f444d89648bd4e4d63fc69_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_ExperimentalForestandRange_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/736fc29df8f444d89648bd4e4d63fc69_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/736fc29df8f444d89648bd4e4d63fc69_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/736fc29df8f444d89648bd4e4d63fc69_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/736fc29df8f444d89648bd4e4d63fc69_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_ExperimentalForestandRange_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>FS National Forest Dataset (US Forest Service Proclaimed Forests)</title><description>A depiction of the boundaries encompassing the National Forest System (NFS) lands within the original proclaimed National Forests, along with subsequent Executive Orders, Proclamations, Public Laws, Public Land Orders, Secretary of Agriculture Orders, and Secretary of Interior Orders creating modifications thereto, along with lands added to the NFS which have taken on the status of 'reserved from the public domain' under the General Exchange Act. The following area types are included: National Forest, Experimental Area, Experimental Forest, Experimental Range, Land Utilization Project, National Grassland, Purchase Unit, and Special Management Area. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.ProclaimedForest.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-14</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3451bcca1dbc45168ed0b3f54c6098d3_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3451bcca1dbc45168ed0b3f54c6098d3_0/license.json</license><modified>2018-01-05</modified><spatial>-150.0077,18.2312,-65.6997,61.519</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3451bcca1dbc45168ed0b3f54c6098d3_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial, National Geospatial Data Asset, NGDA, Cadastre Theme</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3451bcca1dbc45168ed0b3f54c6098d3_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_ProclaimedForestBoundaries_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3451bcca1dbc45168ed0b3f54c6098d3_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3451bcca1dbc45168ed0b3f54c6098d3_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3451bcca1dbc45168ed0b3f54c6098d3_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3451bcca1dbc45168ed0b3f54c6098d3_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>FSTopo topographic quadrangle - Map products</title><description>FSTopo is the Forest Service Primary Base Map Series (1:24,000 scale for the lower 48 and Puerto Rico, 1:63,360 for Alaska) quadrangle maps. FSTopo products cover the US Forest Service lands. Quadrangle maps not included in the FSTopo Series may be obtained from the &lt;a href="https://store.usgs.gov/b2c_usgs/usgs/maplocator/(xcm=r3standardpitrex_prd&amp;amp;layout=6_1_61_48&amp;amp;uiarea=2&amp;amp;ctype=areaDetails&amp;amp;carea=%24ROOT)/.do" target="_blank"&gt;Map Locator &amp;amp; Downloader&lt;/a&gt; on the USGS Store or the &lt;a href="https://viewer.nationalmap.gov/basic/" target="_blank"&gt;USGS TNM Download&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-05-31</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0f440401d9274456811cb98ad19a831e</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0f440401d9274456811cb98ad19a831e/license.json</license><modified>2017-08-24</modified><spatial>-139.241,22.294,-76.663,59.726</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0f440401d9274456811cb98ad19a831e</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://data.fs.usda.gov/geodata/rastergateway/states-regions/states.php</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>FSTopo topographic quadrangle - vector data</title><description>The FSTopo cartographic database supports the creation of 1:24,000-scale, 7.5-minute topographic PDF maps for the conterminous United States and Puerto Rico, and 15 minute x 20-22.5 minute, 1:63,360-scale maps over Alaska. The FSTopo Area of Interest covers the USFS National Forests and Grasslands. The cartographic database is updated accordingly as new data sources are added by means of data revision activities, which are coordinated between the National Forest/Grassland units and the USFS Geospatial Technology Applications Center (GTAC).</description><accessLevel>public</accessLevel><issued>2017-05-31</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/aa1032b10c8d40269f566fd3a165c0d4</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/aa1032b10c8d40269f566fd3a165c0d4/license.json</license><modified>2018-01-19</modified><spatial>-139.46,24.212,-78.289,59.358</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/aa1032b10c8d40269f566fd3a165c0d4</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://data.fs.usda.gov/geodata/edw/datasets.php?xmlKeyword=fstopo</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Final spatial and tabular data from a process-based model (3-PG) used to predict and map hybrid poplar biomass productivity in Minnesota and Wisconsin, USA</title><description>Hybrid poplars have demonstrated high biomass productivity in the North Central USA as short rotation woody crops (SRWCs). However, our ability to quantitatively predict productivity for sites that are not currently in SRWCs is limited. In this study, the Physiological Processes Predicting Growth (3-PG) model was (1) assigned parameters for hybrid poplars using species-specific physiological data and allometric relationships from previously published studies, (2) calibrated for the North Central region using previously-published biomass data from eight plantations along with site-specific climate and soils data, (3) validated against previously published biomass data from four other plantations using linear regression of actual versus predicted total aboveground dry biomass, (4) evaluated for sensitivity of the model to manipulation of the parameter for age at full canopy cover (fullCanAge) and the fertility rating growth modifier, and (5) combined with soil and climate data layers to produce a map of predicted biomass productivity for the states of Minnesota and Wisconsin. This package contains the polygon feature layer and tabular data that correspond to 'Using a process-based model (3-PG) to predict and map hybrid poplar biomass productivity in Minnesota and Wisconsin, USA.' (Headlee et al. 2013). The tabular data for mean annual biomass for hybrid poplar including the STATSGO soil and NARR climate values were used to generate the biomass values. The WTAvg_DM values represent the overall predicted biomass productivity for hybrid poplars.</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/9498fec8c2f14b239a8ce3301bf01fc8</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/9498fec8c2f14b239a8ce3301bf01fc8/license.json</license><modified>2017-11-27</modified><spatial>-180.0,-90.0,180.0,90.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/9498fec8c2f14b239a8ce3301bf01fc8</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://doi.org/10.2737/RDS-2016-0029</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Final spatial and tabular poplar biomass estimates for Minnesota and Wisconsin, USA based on the approach for siting poplar energy production systems to increase productivity and associated ecosystem services</title><description>Short rotation woody crops such as Populus spp. and their hybrids (i.e., poplars) are a significant component of the total biofuels and bioenergy feedstock resource in the USA. We used available social (i.e., land ownership and cover) and biophysical (i.e., climate and soil characteristics) spatial data to map eligible lands suitable for establishing and growing poplar biomass for bioenergy crops across Minnesota and Wisconsin, USA. This package contains a polygon feature layer and tabular data produced for the 'An approach for siting poplar energy production systems to increase productivity and associated ecosystem services' (Zalesny et al. 2012). The polygon feature layer represents a coarse resolution (approximately 32-kilometer) polygon lattice framework. The associated tabular data includes the mean annual biomass for poplar as well as the SSURGO soil and NARR climate values that were used to generate the biomass values. The WTD_Avg_DM values represent the poplar productivity generated by the Physiological Processes Predicting Growth (3-PG) model. The additional ERDAS IMAGINE raster image contains the final spatial predictions of biomass productivity for hybrid poplar at a finer scale (30-meter resolution).</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/c5aea4dd46f645c880763b0f1dd3dc07</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/c5aea4dd46f645c880763b0f1dd3dc07/license.json</license><modified>2017-12-01</modified><spatial>-180.0,-90.0,180.0,90.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/c5aea4dd46f645c880763b0f1dd3dc07</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://doi.org/10.2737/RDS-2016-0030</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Fire Program Analysis - Fire Occurrence Database (Feature Layer)</title><description>Fire occurrence database 4th edition represents occurrence of wildfires in the United States from 1992 to 2015. This is the third update of a publication originally generated to support the national Fire Program Analysis (FPA) system. The wildfire records were acquired from the reporting systems of federal, state, and local fire organizations. The following core data elements were required for records to be included in this data publication: discovery date, final fire size, and a point location at least as precise as Public Land Survey System (PLSS) section (1-square mile grid). The data were transformed to conform, when possible, to the data standards of the National Wildfire Coordinating Group (NWCG). Basic error-checking was performed and redundant records were identified and removed, to the degree possible. The resulting product, referred to as the Fire Program Analysis fire-occurrence database (FPA FOD), includes 1.88 million geo-referenced wildfire records, representing a total of 140 million acres burned during the 24-year period. &lt;a href="https://www.fs.usda.gov/rds/archive/products/RDS-2013-0009.4/_metadata_RDS-2013-0009.4.html" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-06-23</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e4d020cb51304d5194860d4464da7ba7_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e4d020cb51304d5194860d4464da7ba7_0/license.json</license><modified>2017-12-08</modified><spatial>-178.803,17.94,-65.257,70.331</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e4d020cb51304d5194860d4464da7ba7_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e4d020cb51304d5194860d4464da7ba7_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_FireOccurrence_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e4d020cb51304d5194860d4464da7ba7_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e4d020cb51304d5194860d4464da7ba7_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e4d020cb51304d5194860d4464da7ba7_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e4d020cb51304d5194860d4464da7ba7_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_FireOccurrence_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Fire and climate data for western Bailey's ecosections, USA</title><description>The relationship between climate and wildfire area burned suggests how fire regimes may respond to a changing climate. This West-wide data publication contains a 27-year record (1980-2006) of climatological variables used to develop statistical models of area burned that can be projected into the future. We provide a separate file for each of the 56 Bailey's ecosections (Bailey 2016) across the West, with annual area burned and 112 climate predictor variables such as evapotranspiration, precipitation, relative humidity, soil moisture, snow-water equivalent, minimum and maximum temperature, and vapor pressure deficit. These historical and future hydroclimate projections and historical fire area burned data were derived for McKenzie and Littell (2016).</description><accessLevel>public</accessLevel><issued>2017-11-17</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f1e478ad227f41fd8e4b06ada873f53d</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f1e478ad227f41fd8e4b06ada873f53d/license.json</license><modified>2017-12-01</modified><spatial>-180.0,-90.0,180.0,90.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f1e478ad227f41fd8e4b06ada873f53d</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://doi.org/10.2737/RDS-2016-0018</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Fluorescence emission images of wood stained with acridine orange</title><description>Colonization of wood blocks, Picea glauca, by brown and white rot fungi, Postia placenta, Phanerochaete chrysosporium, and Serpula lacrymans, rapidly resulted in detectable wood oxidation, as shown by a reduced phloroglucinol response, a loss of autofluorescence, and acridine orange (AO) staining. The data included in this archive were used to refine a method for detecting changes in the chemical properties of wood. This method involves staining the sample with acridine orange and then observing the light emission using a fluorescence microscope. Data include fluorescence emission microscopic images of AO-stained wood, transmission microscopic images of phloroglucinol-stained wood, isothermal titration calorimetry results, and fluorescence emission spectra.</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/c196f700569747658405eaade2cfb486</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/c196f700569747658405eaade2cfb486/license.json</license><modified>2017-12-01</modified><spatial>-180.0,-90.0,180.0,90.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/c196f700569747658405eaade2cfb486</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://doi.org/10.2737/RDS-2016-0022</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Forest Health Advisory System</title><description>Healthy forests not only provide a beautiful setting for our outdoor activities, they are at lower risk for catastrophic wild fires, and are more resilient to changes in climate and insect and disease attack. &lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;Many forest pests are part of the natural environment. However, as our nation’s forests grow older and more dense, they are at greater risk of attack and new invasive pests can become established. Fortunately, we have projections which can identify tree species at risk of attack well ahead of time. Armed with this and other local information we can be proactive about protecting and restoring our forests to a healthy state. By planting new trees, removing unhealthy trees, and limiting the spread of invasive forest pests, we can ensure our nation’s forests remain healthy for future generations.&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2017-09-29</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/98f6c0c731a04b308bd96fedbfa84604</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/98f6c0c731a04b308bd96fedbfa84604/license.json</license><modified>2017-09-29</modified><spatial>-180.0,-90.0,180.0,90.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/98f6c0c731a04b308bd96fedbfa84604</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://foresthealth.fs.usda.gov/fhas</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Forest Health Protection Insect and Disease Survey</title><description>The applications available on this portal access a myriad of state, county and local level forest insect and disease conditions data. In addition it offers a window into near real time forest disturbance information collected from space. Data input applications are restricted to cooperators with specific training and expertise. If you need access to an application not listed in this portal please &lt;a href="https://foresthealth.fs.usda.gov/portal/Home/Contact" target="_blank"&gt;contact us&lt;/a&gt;.</description><accessLevel>public</accessLevel><issued>2017-04-14</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7ef417e53eaf4307a8d3d2c751e82026</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7ef417e53eaf4307a8d3d2c751e82026/license.json</license><modified>2017-12-01</modified><spatial>-139.944,21.315,-73.85,59.548</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7ef417e53eaf4307a8d3d2c751e82026</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://foresthealth.fs.usda.gov/</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Forest Health Protection Tree Species Metrics</title><description>Natural resource professionals responsible for managing natural resources need detailed resource information to make reasonable assessments of natural resource conditions. The dataset consists of location and density of 300+ individual species mapped at a 30-m resolution, wall-to-wall, and allows the NR professional the ability to go beyond local resource boundaries to characterize landscapes and other resource objectives.</description><accessLevel>public</accessLevel><issued>2017-06-08</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0663a15ea3424b899b1afb7ecd537f5c</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0663a15ea3424b899b1afb7ecd537f5c/license.json</license><modified>2018-01-03</modified><spatial>-128.09,24.046,-73.246,49.724</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0663a15ea3424b899b1afb7ecd537f5c</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/RDW_FHP_TreeSpeciesMetrics</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Forest Inventory and Analysis Above Ground Forest Carbon (Image Service)</title><description>Through application of a nearest-neighbor imputation approach, mapped estimates of forest carbon density were developed for the contiguous United States using the annual forest inventory conducted by the USDA Forest Service Forest Inventory and Analysis (FIA) program, MODIS satellite imagery, and ancillary geospatial datasets. This data product contains the following 8 raster maps: total forest carbon in all stocks, live tree aboveground forest carbon, live tree belowground forest carbon, forest down dead carbon, forest litter carbon, forest standing dead carbon, forest soil organic carbon, and forest understory carbon. &lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;The paper on which these maps are based may be found here: https://dx.doi.org/10.2737/RDS-2013-0004 &lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;Access to full metadata and other information can be accessed here: https://dx.doi.org/10.2737/RDS-2013-0004&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2015-10-28</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/59d27e523dfe47a792a57540cfe1d516</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/59d27e523dfe47a792a57540cfe1d516/license.json</license><modified>2017-12-01</modified><spatial>-128.48963768673903,22.427866241618688,-64.73844776098687,51.92858956502871</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/59d27e523dfe47a792a57540cfe1d516</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/59d27e523dfe47a792a57540cfe1d516</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_ForestEcology/FIA_AboveGroundForestCarbon/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_ForestEcology/FIA_AboveGroundForestCarbon/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Forest Inventory and Analysis Below Ground Forest Carbon (Image Service)</title><description>Through application of a nearest-neighbor imputation approach, mapped estimates of forest carbon density were developed for the contiguous United States using the annual forest inventory conducted by the USDA Forest Service Forest Inventory and Analysis (FIA) program, MODIS satellite imagery, and ancillary geospatial datasets. This data product contains the following 8 raster maps: total forest carbon in all stocks, live tree aboveground forest carbon, live tree belowground forest carbon, forest down dead carbon, forest litter carbon, forest standing dead carbon, forest soil organic carbon, and forest understory carbon. &lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;The paper on which these maps are based may be found here: https://dx.doi.org/10.2737/RDS-2013-0004 &lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;Access to full metadata and other information can be accessed here: https://dx.doi.org/10.2737/RDS-2013-0004&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2015-10-28</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d3c2b199545c4c92be77da0e425d64e3</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d3c2b199545c4c92be77da0e425d64e3/license.json</license><modified>2017-12-01</modified><spatial>-128.48963768673903,22.427866241618688,-64.73844776098687,51.92858956502871</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d3c2b199545c4c92be77da0e425d64e3</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d3c2b199545c4c92be77da0e425d64e3</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_ForestEcology/FIA_BelowGroundForestCarbon/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_ForestEcology/FIA_BelowGroundForestCarbon/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Forest Inventory and Analysis Database</title><description>The Forest Inventory and Analysis (FIA) research program has been in existence since mandated by Congress in 1928. FIA's primary objective is to determine the extent, condition, volume, growth, and depletion of timber on the Nation's forest land. Before 1999, all inventories were conducted on a periodic basis. The passage of the 1998 Farm Bill requires FIA to collect data annually on plots within each State. This kind of up-to-date information is essential to frame realistic forest policies and programs. Summary reports for individual States are published but the Forest Service also provides data collected in each inventory to those interested in further analysis. Data is distributed via the FIA DataMart in a standard format. This standard format, referred to as the Forest Inventory and Analysis Database (FIADB) structure, was developed to provide users with as much data as possible in a consistent manner among States. A number of inventories conducted prior to the implementation of the annual inventory are available in the FIADB. However, various data attributes may be empty or the items may have been collected or computed differently. Annual inventories use a common plot design and common data collection procedures nationwide, resulting in greater consistency among FIA work units than earlier inventories. Links to field collection manuals and the FIADB user's manual are provided in the FIA DataMart.</description><accessLevel>public</accessLevel><issued>2017-04-14</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bc09d4e07dbb4d539a8e46dd3639b5fe</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bc09d4e07dbb4d539a8e46dd3639b5fe/license.json</license><modified>2017-12-01</modified><spatial>-140.647,20.329,-73.147,60.772</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bc09d4e07dbb4d539a8e46dd3639b5fe</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial, National Geospatial Data Asset, NGDA, Land Use Land Cover Theme</categories><distribution><accessURL>https://apps.fs.usda.gov/fia/datamart/datamart.html</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Forest Inventory and Analysis Dead Down Forest Carbon (Image Service)</title><description>Through application of a nearest-neighbor imputation approach, mapped estimates of forest carbon density were developed for the contiguous United States using the annual forest inventory conducted by the USDA Forest Service Forest Inventory and Analysis (FIA) program, MODIS satellite imagery, and ancillary geospatial datasets. This data product contains the following 8 raster maps: total forest carbon in all stocks, live tree aboveground forest carbon, live tree belowground forest carbon, forest down dead carbon, forest litter carbon, forest standing dead carbon, forest soil organic carbon, and forest understory carbon. &lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;The paper on which these maps are based may be found here: https://dx.doi.org/10.2737/RDS-2013-0004 &lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;Access to full metadata and other information can be accessed here: https://dx.doi.org/10.2737/RDS-2013-0004&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2015-10-28</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/224d4b8d4de54f04a5f62f954951b571</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/224d4b8d4de54f04a5f62f954951b571/license.json</license><modified>2017-12-01</modified><spatial>-128.48963768673903,22.427866241618688,-64.73844776098687,51.92858956502871</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/224d4b8d4de54f04a5f62f954951b571</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/224d4b8d4de54f04a5f62f954951b571</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_ForestEcology/FIA_DeadDownForestCarbon/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_ForestEcology/FIA_DeadDownForestCarbon/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Forest Inventory and Analysis Forest Litter Carbon (Image Service)</title><description>Through application of a nearest-neighbor imputation approach, mapped estimates of forest carbon density were developed for the contiguous United States using the annual forest inventory conducted by the USDA Forest Service Forest Inventory and Analysis (FIA) program, MODIS satellite imagery, and ancillary geospatial datasets. This data product contains the following 8 raster maps: total forest carbon in all stocks, live tree aboveground forest carbon, live tree belowground forest carbon, forest down dead carbon, forest litter carbon, forest standing dead carbon, forest soil organic carbon, and forest understory carbon. &lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;The paper on which these maps are based may be found here: https://dx.doi.org/10.2737/RDS-2013-0004 &lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;Access to full metadata and other information can be accessed here: https://dx.doi.org/10.2737/RDS-2013-0004&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2015-10-28</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/07d6eb0e3900461cb5ca8399f89cbfc4</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/07d6eb0e3900461cb5ca8399f89cbfc4/license.json</license><modified>2017-12-01</modified><spatial>-128.48963768673903,22.427866241618688,-64.73844776098687,51.92858956502871</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/07d6eb0e3900461cb5ca8399f89cbfc4</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/07d6eb0e3900461cb5ca8399f89cbfc4</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_ForestEcology/FIA_ForestLitterCarbon/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_ForestEcology/FIA_ForestLitterCarbon/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Forest Inventory and Analysis Forest Soil Carbon (Image Service)</title><description>Through application of a nearest-neighbor imputation approach, mapped estimates of forest carbon density were developed for the contiguous United States using the annual forest inventory conducted by the USDA Forest Service Forest Inventory and Analysis (FIA) program, MODIS satellite imagery, and ancillary geospatial datasets. This data product contains the following 8 raster maps: total forest carbon in all stocks, live tree aboveground forest carbon, live tree belowground forest carbon, forest down dead carbon, forest litter carbon, forest standing dead carbon, forest soil organic carbon, and forest understory carbon. &lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;The paper on which these maps are based may be found here: https://dx.doi.org/10.2737/RDS-2013-0004 &lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;Access to full metadata and other information can be accessed here: https://dx.doi.org/10.2737/RDS-2013-0004&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2015-10-28</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/c88bd8509b2045adb887caad112be082</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/c88bd8509b2045adb887caad112be082/license.json</license><modified>2017-08-24</modified><spatial>-128.48963768673903,22.427866241618688,-64.73844776098687,51.92858956502871</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/c88bd8509b2045adb887caad112be082</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/c88bd8509b2045adb887caad112be082</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_ForestEcology/FIA_ForestSoilCarbon/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_ForestEcology/FIA_ForestSoilCarbon/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Forest Inventory and Analysis Standing Dead Forest Carbon (Image Service)</title><description>Through application of a nearest-neighbor imputation approach, mapped estimates of forest carbon density were developed for the contiguous United States using the annual forest inventory conducted by the USDA Forest Service Forest Inventory and Analysis (FIA) program, MODIS satellite imagery, and ancillary geospatial datasets. 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This data product contains the following 8 raster maps: total forest carbon in all stocks, live tree aboveground forest carbon, live tree belowground forest carbon, forest down dead carbon, forest litter carbon, forest standing dead carbon, forest soil organic carbon, and forest understory carbon. &lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;The paper on which these maps are based may be found here: https://dx.doi.org/10.2737/RDS-2013-0004 &lt;/div&gt;&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;Access to full metadata and other information can be accessed here: https://dx.doi.org/10.2737/RDS-2013-0004&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2015-10-28</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/af9747100a6642f0bb8f0d3c13e57be3</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/af9747100a6642f0bb8f0d3c13e57be3/license.json</license><modified>2017-08-24</modified><spatial>-128.48963768673903,22.427866241618688,-64.73844776098687,51.92858956502871</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/af9747100a6642f0bb8f0d3c13e57be3</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/af9747100a6642f0bb8f0d3c13e57be3</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_ForestEcology/FIA_TotalForestCarbon/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_ForestEcology/FIA_TotalForestCarbon/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Forest Inventory and Analysis Understory Forest Carbon (Image Service)</title><description>Through application of a nearest-neighbor imputation approach, mapped estimates of forest carbon density were developed for the contiguous United States using the annual forest inventory conducted by the USDA Forest Service Forest Inventory and Analysis (FIA) program, MODIS satellite imagery, and ancillary geospatial datasets. 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All National Forest System lands fall within one and only one Administrative Region Area. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.AdministrativeRegion.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d5f88e90e2dd4e86b65ab51f8fe174a6_1</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d5f88e90e2dd4e86b65ab51f8fe174a6_1/license.json</license><modified>2017-12-01</modified><spatial>-140.999,21.642,-73.499,59.369</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d5f88e90e2dd4e86b65ab51f8fe174a6_1</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d5f88e90e2dd4e86b65ab51f8fe174a6_1</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_RegionBoundaries_01/MapServer/1</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d5f88e90e2dd4e86b65ab51f8fe174a6_1.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d5f88e90e2dd4e86b65ab51f8fe174a6_1.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d5f88e90e2dd4e86b65ab51f8fe174a6_1.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d5f88e90e2dd4e86b65ab51f8fe174a6_1.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_RegionBoundaries_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_RegionBoundaries_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Forest Service Research Data Archive - Index</title><description>This archive publishes and preserves short and long-term research data collected from studies funded by:&lt;p&gt;&lt;/p&gt;&lt;li&gt;Forest Service Research and Development (&lt;a href="https://www.fs.fed.us/research/" target="_blank"&gt;FS R&amp;amp;D&lt;/a&gt;)&lt;/li&gt;&lt;li&gt;Joint Fire Science Program (&lt;a href="https://www.firescience.gov/" target="_blank"&gt;JFSP&lt;/a&gt;)&lt;/li&gt;&lt;li&gt;Aldo Leopold Wilderness Research Institute (&lt;a href="https://leopold.wilderness.net/" target="_blank"&gt;ALWRI&lt;/a&gt;)&lt;/li&gt;&lt;p&gt;&lt;/p&gt;Of special interest, our collection includes data from a number of Forest Service Experimental Forests and Ranges.&lt;p&gt;Each archived data set (i.e., &amp;quot;data publication&amp;quot;) contains at least one data set, complete metadata for the data set(s), and any other documentation the researcher deemed important to understanding the data set(s). The data catalog entries present the metadata and a link to the data. In some cases the data link is to a different archive.&lt;/p&gt;</description><accessLevel>public</accessLevel><issued>2017-11-01</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/eaa8f2f9700a4c99986dbee09162f56f</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/eaa8f2f9700a4c99986dbee09162f56f/license.json</license><modified>2017-12-01</modified><spatial>-180.0,-90.0,180.0,90.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/eaa8f2f9700a4c99986dbee09162f56f</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://doi.org/10.2737/RDS</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Forest Service developed sites subject to regulation (Feature Layer)</title><description>An area having regulations and/or restrictions related to existing buildings, structures, or resource activities such as a constructed fuel breaks. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.DevelopedSite.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bede16e1d8c64c9ba2f9f9557934da53_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bede16e1d8c64c9ba2f9f9557934da53_0/license.json</license><modified>2017-12-01</modified><spatial>-150.0077,31.3844,-72.8085,60.9233</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bede16e1d8c64c9ba2f9f9557934da53_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bede16e1d8c64c9ba2f9f9557934da53_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_DevelopedSite_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bede16e1d8c64c9ba2f9f9557934da53_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bede16e1d8c64c9ba2f9f9557934da53_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bede16e1d8c64c9ba2f9f9557934da53_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bede16e1d8c64c9ba2f9f9557934da53_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Future April 1 snow water equivalent (Image Service)</title><description>&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;This raster contains modeled future April 1 snow water equivalent values calculated using a spatial analog model. The model ingests mean winter average temperature and precipitation. For more information about the model, please see Luce et al., [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/2013WR014844/full"&gt;2014&lt;/a&gt;] and Lute and Luce [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/2017WR020752/full"&gt;2017&lt;/a&gt;]. Absolute changes in April 1 SWE is in units of millimeters. The temperature and precipitation data are ensemble mean values across 20 global climate models from the CMIP5 experiment [&lt;a href="http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1"&gt;Taylor et al., 2012&lt;/a&gt;], downscaled to a 4km grid. For more information on the downscaling method and to access the raw data used to create this dataset, please see Abatzoglou and Brown, [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/joc.2312/full"&gt;2012&lt;/a&gt;] and the &lt;a href="http://maca.northwestknowledge.net"&gt;Northwest Climate Science Center&lt;/a&gt;. We used the MACAv2-metdata monthly precipitation and minimum and maximum temperature datasets for the period 2071-2090 (RCP8.5). Average temperature was calculated as the arithmetic mean of minimum and maximum temperature datasets. Average temperature was averaged over the winter months (November through March) and precipitation was summed over the winter months. More information on the project associated with this dataset is available from the U.S. Forest Service &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html"&gt;Rocky Mountain Research Station&lt;/a&gt;, including &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;detailed metadata&lt;/a&gt;; these raster data are available for &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;here&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ecf45b0c6e624797b3a5c266bf3e3113</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ecf45b0c6e624797b3a5c266bf3e3113/license.json</license><modified>2018-01-10</modified><spatial>-134.91336517510808,21.082969302706488,-56.90070213154654,52.37089914390312</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ecf45b0c6e624797b3a5c266bf3e3113</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ecf45b0c6e624797b3a5c266bf3e3113</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_Climate/SnowWaterEquivApril1_2080/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_Climate/SnowWaterEquivApril1_2080/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Future annual average temperature (Image Service)</title><description>&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;This raster contains future annual average temperature values. Data are ensemble mean values across 20 global climate models from the CMIP5 experiment [&lt;a href="http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1"&gt;Taylor et al., 2012&lt;/a&gt;], downscaled to a 4km grid. For more information on the downscaling method and to access the raw data used to create this dataset, please see Abatzoglou and Brown, [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/joc.2312/full"&gt;2012&lt;/a&gt;] and the &lt;a href="http://maca.northwestknowledge.net"&gt;Northwest Climate Science Center&lt;/a&gt;. We used the MACAv2-metdata monthly minimum and maximum temperature datasets. Average temperature was calculated as the arithmetic mean of minimum and maximum temperature datasets. Average temperature was averaged over water years (1 Oct to 30 Sept) over the period 2071-2090 (RCP8.5) to represent future conditions. Units are degrees Celsius. More information on the project associated with this dataset is available from the U.S. Forest Service &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html"&gt;Rocky Mountain Research Station&lt;/a&gt;, including &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;detailed metadata&lt;/a&gt;; these raster data are available for download &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;here&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3641af983aaa49d48fac73eaa56dcded</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3641af983aaa49d48fac73eaa56dcded/license.json</license><modified>2018-01-10</modified><spatial>-134.91336517510808,21.082969302706488,-56.90070213154654,52.37089914390312</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3641af983aaa49d48fac73eaa56dcded</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3641af983aaa49d48fac73eaa56dcded</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_Climate/AvgAnnualTemp_2080/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_Climate/AvgAnnualTemp_2080/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Future annual precipitation (Image Service)</title><description>&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;This raster contains future annual precipitation values. Data are calculated from ensemble mean values across 20 global climate models from the CMIP5 experiment [&lt;a href="http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1"&gt;Taylor et al., 2012&lt;/a&gt;], downscaled to a 4km grid. For more information on the downscaling method and to access the raw data used to create this dataset, please see Abatzoglou and Brown, [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/joc.2312/full"&gt;2012&lt;/a&gt;] and the &lt;a href="http://maca.northwestknowledge.net"&gt;Northwest Climate Science Center&lt;/a&gt;. We used the MACAv2-metdata monthly dataset and summed precipitation over the water year (1 Oct- 30 Sept). Values are averaged over the period 2071-2090 to represent future conditions. Units are millimeters. More information on the project associated with this dataset is available from the U.S. Forest Service &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html"&gt;Rocky Mountain Research Station&lt;/a&gt;, including &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;detailed metadata&lt;/a&gt;; these raster data are available for download &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;here&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/47ad1855a4d9454b92db3583521a6ffa</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/47ad1855a4d9454b92db3583521a6ffa/license.json</license><modified>2018-01-10</modified><spatial>-134.9134,21.083,-56.9007,52.3709</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/47ad1855a4d9454b92db3583521a6ffa</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/47ad1855a4d9454b92db3583521a6ffa</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_Climate/AnnualPrecipitation_2080/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_Climate/AnnualPrecipitation_2080/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Future snow residence time (Image Service)</title><description>&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;This raster contains modeled future snow residence time values calculated using a spatial analog model. The model ingests mean winter average temperature and precipitation. For more information about the model, please see Luce et al., [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/2013WR014844/full"&gt;2014&lt;/a&gt;] and Lute and Luce [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/2017WR020752/full"&gt;2017&lt;/a&gt;]. Absolute changes in snow residence time are in units of days. The temperature and precipitation data are ensemble mean values across 20 global climate models from the CMIP5 experiment [&lt;a href="http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1"&gt;Taylor et al., 2012&lt;/a&gt;], downscaled to a 4km grid. For more information on the downscaling method and to access the raw data used to create this dataset, please see Abatzoglou and Brown, [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/joc.2312/full"&gt;2012&lt;/a&gt;] and the &lt;a href="http://maca.northwestknowledge.net"&gt;Northwest Climate Science Center&lt;/a&gt;. We used the MACAv2-metdata monthly precipitation and minimum and maximum temperature datasets for the period 2071-2090 (RCP8.5). Average temperature was calculated as the arithmetic mean of minimum and maximum temperature datasets. Average temperature was averaged over the winter months (November through March) and precipitation was summed over the winter months. More information on the project associated with this dataset is available from the U.S. Forest Service &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html"&gt;Rocky Mountain Research Station&lt;/a&gt;, including &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;detailed metadata&lt;/a&gt;; these raster data are available for download &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;here&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2b82c333a6094600aa6e4720d551638b</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2b82c333a6094600aa6e4720d551638b/license.json</license><modified>2018-01-10</modified><spatial>-134.91336517510808,21.082969302706488,-56.90070213154654,52.37089914390312</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2b82c333a6094600aa6e4720d551638b</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2b82c333a6094600aa6e4720d551638b</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_Climate/SnowResidenceTime_2080/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_Climate/SnowResidenceTime_2080/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Future winter average temperature (Image Service)</title><description>&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;This raster contains future winter average temperature values. Data are ensemble mean values across 20 global climate models from the CMIP5 experiment [&lt;a href="http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1"&gt;Taylor et al., 2012&lt;/a&gt;], downscaled to a 4km grid. For more information on the downscaling method and to access the raw data used to create this dataset, please see Abatzoglou and Brown, [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/joc.2312/full"&gt;2012&lt;/a&gt;] and the &lt;a href="http://maca.northwestknowledge.net"&gt;Northwest Climate Science Center&lt;/a&gt;. We used the MACAv2-metdata monthly minimum and maximum temperature datasets. Average temperature was calculated as the arithmetic mean of minimum and maximum temperature datasets. Average temperature was averaged over winter months (November through March) and over the period 2071-2090 (RCP8.5) to represent future conditions. Units are degrees Celsius. More information on the project associated with this dataset is available from the U.S. Forest Service &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html"&gt;Rocky Mountain Research Station&lt;/a&gt;, including &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;detailed metadata&lt;/a&gt;; these raster data are available for download &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;here&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/46fbdfc6bcbc4ef498655f325f2df16d</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/46fbdfc6bcbc4ef498655f325f2df16d/license.json</license><modified>2018-01-10</modified><spatial>-134.91336517510808,21.082969302706488,-56.90070213154654,52.37089914390312</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/46fbdfc6bcbc4ef498655f325f2df16d</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/46fbdfc6bcbc4ef498655f325f2df16d</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_Climate/AvgWinterTemp_2080/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_Climate/AvgWinterTemp_2080/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Future winter precipitation (Image Service)</title><description>&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;This raster contains modeled cumulative winter precipitation values for the RCP8.5 scenario for the 2080s. Data are calculated from ensemble mean values across 20 global climate models from the CMIP5 experiment [&lt;a href="http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1"&gt;Taylor et al., 2012&lt;/a&gt;], downscaled to a 4km grid. For more information on the downscaling method and to access the raw data used to create this dataset, please see Abatzoglou and Brown, [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/joc.2312/full"&gt;2012&lt;/a&gt;] and the &lt;a href="http://maca.northwestknowledge.net"&gt;Northwest Climate Science Center&lt;/a&gt;. We used the MACAv2-metdata monthly dataset and summed precipitation over the water year (1 Oct- 30 Sept). Values are averaged over the period 2071-2090 to represent future conditions. Units are millimeters. More information on the project associated with this dataset is available from the U.S. Forest Service &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html"&gt;Rocky Mountain Research Station&lt;/a&gt;, including &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;detailed metadata&lt;/a&gt;; these raster data are available for download &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;here&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3352a0dd0f6640778e09ce174bb80648</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3352a0dd0f6640778e09ce174bb80648/license.json</license><modified>2018-01-10</modified><spatial>-134.91336517510808,21.082969302706488,-56.90070213154654,52.37089914390312</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3352a0dd0f6640778e09ce174bb80648</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3352a0dd0f6640778e09ce174bb80648</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_Climate/AvgWinterPrecip_2080/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_Climate/AvgWinterPrecip_2080/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Geopolitical Units adjusted within Administrative Forest Boundaries: Civil Division (Feature Layer)</title><description>This featureclass includes States, Counties or Boroughs, Congressional Districts, Alaska Recording Districts, County Subdivisions, and Places boundaries that are derived from the latest official Census Bureau and Alaska Department of Natural Resources datasets. 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Features within Forest Service Administrative Forest boundaries may have been modified by the Forest Service for improved accuracy and spatial coincidence(vertical integration). &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.ALPGeopoliticalUnit.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-11</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2f3d78a6df9c4b219d8903840057e103_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2f3d78a6df9c4b219d8903840057e103_0/license.json</license><modified>2017-12-01</modified><spatial>-144.163,16.325,-62.6,60.078</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2f3d78a6df9c4b219d8903840057e103_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2f3d78a6df9c4b219d8903840057e103_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_GeopoliticalUnit_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2f3d78a6df9c4b219d8903840057e103_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2f3d78a6df9c4b219d8903840057e103_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2f3d78a6df9c4b219d8903840057e103_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2f3d78a6df9c4b219d8903840057e103_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Hazardous Fuel Treatment Reduction: Line (Feature Layer)</title><description>The Forest Service's Natural Resource Manager (NRM) Forest Activity Tracking System (FACTS) is the agency standard for managing information about activities related to fire/fuels, silviculture, and invasive species. FACTS is an activity tracking application for all levels of the Forest Service. The application allows tracking and monitoring of NEPA decisions as well as the ability to create and manage KV trust fund plans at the timber sale level. This application complements its companion NRM applications, which cover the spectrum of living and non-living natural resource information. This layer represents activities of hazardous fuel treatment reduction that are polygons. All accomplishments toward the unified hazardous fuels reduction target must meet the following definition: Vegetative manipulation designed to create and maintain resilient and sustainable landscapes, including burning, mechanical treatments, and/or other methods that reduce the quantity or change the arrangement of living or dead fuel so that the intensity, severity, or effects of wildland fire are reduced within acceptable ecological parameters and consistent with land management plan objectives, or activities that maintain desired fuel conditions. These conditions should be measurable or predictable using fire behavior prediction models or fire effects models. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_HazFuelTrt_LN.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-05-03</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d5024b69878446d9becc322c1991981f_14</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d5024b69878446d9becc322c1991981f_14/license.json</license><modified>2017-12-01</modified><spatial>-123.3886,30.6439,-82.6281,48.6286</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d5024b69878446d9becc322c1991981f_14</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d5024b69878446d9becc322c1991981f_14</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_HazardousFuelsTreatments_01/MapServer/14</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d5024b69878446d9becc322c1991981f_14.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d5024b69878446d9becc322c1991981f_14.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d5024b69878446d9becc322c1991981f_14.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d5024b69878446d9becc322c1991981f_14.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Hazardous Fuel Treatment Reduction: Polygon (Feature Layer)</title><description>The Forest Service's Natural Resource Manager (NRM) Forest Activity Tracking System (FACTS) is the agency standard for managing information about activities related to fire/fuels, silviculture, and invasive species. FACTS is an activity tracking application for all levels of the Forest Service. The application allows tracking and monitoring of NEPA decisions as well as the ability to create and manage KV trust fund plans at the timber sale level. This application complements its companion NRM applications, which cover the spectrum of living and non-living natural resource information. This layer represents activities of hazardous fuel treatment reduction that are polygons. All accomplishments toward the unified hazardous fuels reduction target must meet the following definition: Vegetative manipulation designed to create and maintain resilient and sustainable landscapes, including burning, mechanical treatments, and/or other methods that reduce the quantity or change the arrangement of living or dead fuel so that the intensity, severity, or effects of wildland fire are reduced within acceptable ecological parameters and consistent with land management plan objectives, or activities that maintain desired fuel conditions. These conditions should be measurable or predictable using fire behavior prediction models or fire effects models.<2E>&lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_HazFuelTrt_PL.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-05-03</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0871d6b79a814faf92a2ff4d65341b46_15</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0871d6b79a814faf92a2ff4d65341b46_15/license.json</license><modified>2017-12-01</modified><spatial>-149.58,22.221,-70.83,61.749</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0871d6b79a814faf92a2ff4d65341b46_15</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0871d6b79a814faf92a2ff4d65341b46_15</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_HazardousFuelsTreatments_01/MapServer/15</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0871d6b79a814faf92a2ff4d65341b46_15.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0871d6b79a814faf92a2ff4d65341b46_15.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0871d6b79a814faf92a2ff4d65341b46_15.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0871d6b79a814faf92a2ff4d65341b46_15.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Hazardous sites (Feature Layer)</title><description>Polygons representing FS land areas with a regulated use specification authorized by the Comprehensive Environmental Response, Compensation, and Liability Act of 1980. These areas generally contain hazardous waste considerations. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.CERCLASITE.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-10</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5381f454f2f54b998af4554a7c383ad9_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5381f454f2f54b998af4554a7c383ad9_0/license.json</license><modified>2017-12-06</modified><spatial>-129.979,23.745,-73.026,50.191</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5381f454f2f54b998af4554a7c383ad9_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5381f454f2f54b998af4554a7c383ad9_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_CERCLASite_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5381f454f2f54b998af4554a7c383ad9_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5381f454f2f54b998af4554a7c383ad9_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5381f454f2f54b998af4554a7c383ad9_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5381f454f2f54b998af4554a7c383ad9_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_CERCLASite_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_CERCLASite_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Healthy Forest Restoration Act Activities (Feature Layer)</title><description>This feature class contains data that depicts National Forest System (NFS) Lands within 37 States designated under section 602 and 603 of the Healthy Forest Restoration Act. Designated areas were selected based on a set of eligibility criteria regarding forest health and do not include any areas coinciding with Wilderness and Wilderness Study Areas. The data is comprised of selected HUC-6 units or other areas of similar size and scope clipped to Proclaimed National Forest System lands. Non-Forest Service land ownership areas (inholdings) are also removed. In some cases, entire National Forests were designated. Some state designations' methodologies may differ from the national standard.Please note that this data is current as of January 15, 2016, and changes to designated areas will be republished and archived on weekly basis. Therefore, the most current layer along with previous years' data are available, and the user should ensure that they understand which layer is being accessed. Previous years' data will have a date stamp in the file name, while the most current layer will not. Further, the attribute, Latest_Revision_Date contains the date of the most recent designation layer for each state. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.HealthyForestRestorationAct.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-11</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/817a9d13df5f4f3d8c22bd09fe2627b9_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/817a9d13df5f4f3d8c22bd09fe2627b9_0/license.json</license><modified>2017-12-01</modified><spatial>-150.0077,28.9781,-71.0022,60.6869</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/817a9d13df5f4f3d8c22bd09fe2627b9_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/817a9d13df5f4f3d8c22bd09fe2627b9_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_HealthyForestRestorationAct_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/817a9d13df5f4f3d8c22bd09fe2627b9_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/817a9d13df5f4f3d8c22bd09fe2627b9_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/817a9d13df5f4f3d8c22bd09fe2627b9_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/817a9d13df5f4f3d8c22bd09fe2627b9_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_HealthyForestRestorationAct_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_HealthyForestRestorationAct_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>High-resolution land cover of Kansas (2015)</title><description>&lt;a href="https://doi.org/10.2737/RDS-2017-0025" target="_blank"&gt;Download this data or get more information&lt;/a&gt;. This data publication contains 2015 high-resolution land cover data for each of the 105 counties within Kansas. These data are a digital representation of land cover derived from 1-meter aerial imagery from the National Agriculture Imagery Program (NAIP). There is a separate file for each county. Data are intended for use in rural areas and therefore do not include land cover in cities and towns. Land cover classes (tree cover, other land cover, water, or city/town) were mapped using an object-based image analysis approach and supervised classification.</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e29092bbeedd45308d74819a46b1a236</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e29092bbeedd45308d74819a46b1a236/license.json</license><modified>2018-01-03</modified><spatial>-180.0,-90.0,180.0,90.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e29092bbeedd45308d74819a46b1a236</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/RDW_InventoryAndProducts/HighResolutionTreeCoverOfKansas_2015/MapServer</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Historical April 1 snow water equivalent (Image Service)</title><description>&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;This raster contains historical April 1 snow water equivalent values calculated using a spatial analog model. The model ingests mean winter average temperature and precipitation. For more information about the model, please see Luce et al., [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/2013WR014844/full"&gt;2014&lt;/a&gt;] and Lute and Luce [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/2017WR020752/full"&gt;2017&lt;/a&gt;]. Absolute changes in April 1 SWE is in units of millimeters. The temperature and precipitation data are ensemble mean values across 20 global climate models from the CMIP5 experiment [&lt;a href="http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1"&gt;Taylor et al., 2012&lt;/a&gt;], downscaled to a 4km grid. For more information on the downscaling method and to access the raw data used to create this dataset, please see Abatzoglou and Brown, [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/joc.2312/full"&gt;2012&lt;/a&gt;] and the &lt;a href="http://maca.northwestknowledge.net"&gt;Northwest Climate Science Center&lt;/a&gt;. We used the MACAv2-metdata monthly precipitation and minimum and maximum temperature datasets for the period 1975-2005. Average temperature was calculated as the arithmetic mean of minimum and maximum temperature datasets. Average temperature was averaged over the winter months (November through March) and precipitation was summed over the winter months. More information on the project associated with this dataset is available from the U.S. Forest Service &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html"&gt;Rocky Mountain Research Station&lt;/a&gt;, including &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;detailed metadata&lt;/a&gt;; these raster data are available for download &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;here&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/81c6db669c3f457e8d125bcbbecb8088</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/81c6db669c3f457e8d125bcbbecb8088/license.json</license><modified>2018-01-10</modified><spatial>-134.91336517510808,21.082969302706488,-56.90070213154654,52.37089914390312</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/81c6db669c3f457e8d125bcbbecb8088</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/81c6db669c3f457e8d125bcbbecb8088</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_Climate/SnowWaterEquivApril1_Historical/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_Climate/SnowWaterEquivApril1_Historical/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Historical Woodland Density of the Conterminous United States, 1873 (Feature Layer)</title><description>This dataset includes polygons with a minimum of 40 acres of woodlands per square mile as depicted in William H. Brewer's 1873 map of woodland density and covers the conterminous United States. Each polygon has been labeled with the density category (1-5) depicted on the original map. This dataset was created by georeferencing a scanned version of the source map and by heads-up digitizing each woodland density polygon. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Historical_Woodlands_1873.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-11</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0f6a80d71e084547a4a1b6e3f3e4fc39_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0f6a80d71e084547a4a1b6e3f3e4fc39_0/license.json</license><modified>2017-12-01</modified><spatial>-124.7328,25.1305,-66.9693,49.3717</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0f6a80d71e084547a4a1b6e3f3e4fc39_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0f6a80d71e084547a4a1b6e3f3e4fc39_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_HistoricalWoodlandsDensity_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0f6a80d71e084547a4a1b6e3f3e4fc39_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0f6a80d71e084547a4a1b6e3f3e4fc39_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0f6a80d71e084547a4a1b6e3f3e4fc39_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0f6a80d71e084547a4a1b6e3f3e4fc39_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Historical annual average temperature (Image Service)</title><description>&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;This raster contains historical annual average temperature values. Data are ensemble mean values across 20 global climate models from the CMIP5 experiment [&lt;a href="http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1"&gt;Taylor et al., 2012&lt;/a&gt;], downscaled to a 4km grid. For more information on the downscaling method and to access the raw data used to create this dataset, please see Abatzoglou and Brown, [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/joc.2312/full"&gt;2012&lt;/a&gt;] and the &lt;a href="http://maca.northwestknowledge.net"&gt;Northwest Climate Science Center&lt;/a&gt;. We used the MACAv2-metdata monthly minimum and maximum temperature datasets. Average temperature was calculated as the arithmetic mean of minimum and maximum temperature datasets. Average temperature was averaged over water years (1 Oct to 30 Sept). Values are averaged over the period 1975-2005 to represent historical conditions. Units are degrees Celsius. More information on the project associated with this dataset is available from the U.S. Forest Service &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html"&gt;Rocky Mountain Research Station&lt;/a&gt;, including &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;detailed metadata&lt;/a&gt;; these raster data are available for download &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;here&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/11446da3eaa04ecc9b086ffcaa1c9818</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/11446da3eaa04ecc9b086ffcaa1c9818/license.json</license><modified>2018-01-10</modified><spatial>-134.91336517510808,21.082969302706488,-56.90070213154654,52.37089914390312</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/11446da3eaa04ecc9b086ffcaa1c9818</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/11446da3eaa04ecc9b086ffcaa1c9818</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_Climate/AvgAnnualTemp_Historical/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_Climate/AvgAnnualTemp_Historical/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Historical annual precipitation (Image Service)</title><description>&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;This raster contains historical annual precipitation values. Data are calculated from ensemble mean values across 20 global climate models from the CMIP5 experiment [&lt;a href="http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1"&gt;Taylor et al., 2012&lt;/a&gt;], downscaled to a 4km grid. For more information on the downscaling method and to access the raw data used to create this dataset, please see Abatzoglou and Brown, [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/joc.2312/full"&gt;2012&lt;/a&gt;] and the &lt;a href="http://maca.northwestknowledge.net"&gt;Northwest Climate Science Center&lt;/a&gt;. We used the MACAv2-metdata monthly dataset and summed precipitation over the water year (1 Oct- 30 Sept). Values are averaged over the period 1975-2005 to represent historical conditions. Units are millimeters. Units are millimeters. More information on the project associated with this dataset is available from the U.S. Forest Service &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html"&gt;Rocky Mountain Research Station&lt;/a&gt;, including &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;detailed metadata&lt;/a&gt;; these raster data are available for download &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;here&lt;/a&gt;.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3d20949945864fc0be9786821dbacfbe</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3d20949945864fc0be9786821dbacfbe/license.json</license><modified>2018-01-10</modified><spatial>-134.91336517510808,21.082969302706488,-56.90070213154654,52.37089914390312</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3d20949945864fc0be9786821dbacfbe</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3d20949945864fc0be9786821dbacfbe</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_Climate/AnnualPrecipitation_Historical/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_Climate/AnnualPrecipitation_Historical/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Historical snow residence time (Image Service)</title><description>&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;This raster contains historical snow residence time values calculated using a spatial analog model. The model ingests mean winter average temperature and precipitation. For more information about the model, please see Luce et al., [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/2013WR014844/full"&gt;2014&lt;/a&gt;] and Lute and Luce [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/2017WR020752/full"&gt;2017&lt;/a&gt;]. Absolute changes in snow residence time are in units of days. The temperature and precipitation data are ensemble mean values across 20 global climate models from the CMIP5 experiment [&lt;a href="http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1"&gt;Taylor et al., 2012&lt;/a&gt;], downscaled to a 4km grid. For more information on the downscaling method and to access the raw data used to create this dataset, please see Abatzoglou and Brown, [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/joc.2312/full"&gt;2012&lt;/a&gt;] and the &lt;a href="http://maca.northwestknowledge.net"&gt;Northwest Climate Science Center&lt;/a&gt;. We used the MACAv2-metdata monthly precipitation and minimum and maximum temperature datasets for the period 1975-2005. Average temperature was calculated as the arithmetic mean of minimum and maximum temperature datasets. Average temperature was averaged over the winter months (November through March) and precipitation was summed over the winter months. More information on the project associated with this dataset is available from the U.S. Forest Service &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html"&gt;Rocky Mountain Research Station&lt;/a&gt;, including &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;detailed metadata&lt;/a&gt;; these raster data are available for download &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;here&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e1a010ce59af47c8bf26452468e1cb67</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e1a010ce59af47c8bf26452468e1cb67/license.json</license><modified>2018-01-10</modified><spatial>-134.91336517510808,21.082969302706488,-56.90070213154654,52.37089914390312</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e1a010ce59af47c8bf26452468e1cb67</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e1a010ce59af47c8bf26452468e1cb67</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_Climate/SnowResidenceTime_Historical/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_Climate/SnowResidenceTime_Historical/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Historical winter average temperature (Image Service)</title><description>&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;This raster contains historical winter average temperature values. Data are ensemble mean values across 20 global climate models from the CMIP5 experiment [&lt;a href="http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1"&gt;Taylor et al., 2012&lt;/a&gt;], downscaled to a 4km grid. For more information on the downscaling method and to access the raw data used to create this dataset, please see Abatzoglou and Brown, [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/joc.2312/full"&gt;2012&lt;/a&gt;] and the &lt;a href="http://maca.northwestknowledge.net"&gt;Northwest Climate Science Center&lt;/a&gt;. We used the MACAv2-metdata monthly minimum and maximum temperature datasets. Average temperature was calculated as the arithmetic mean of minimum and maximum temperature datasets. Average temperature was averaged over winter months (November through March). Values are averaged over the period 1975-2005 to represent historical conditions. Units are degrees Celsius. More information on the project associated with this dataset is available from the U.S. Forest Service &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html"&gt;Rocky Mountain Research Station&lt;/a&gt;, including &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;detailed metadata&lt;/a&gt;; these raster data are available for download &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;here&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d05fd21f8a954d93a53a4cbf61f62866</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d05fd21f8a954d93a53a4cbf61f62866/license.json</license><modified>2018-01-10</modified><spatial>-134.91336517510808,21.082969302706488,-56.90070213154654,52.37089914390312</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d05fd21f8a954d93a53a4cbf61f62866</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d05fd21f8a954d93a53a4cbf61f62866</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_Climate/AvgWinterTemp_Historical/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_Climate/AvgWinterTemp_Historical/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Historical winter precipitation (Image Service)</title><description>&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;This raster contains cumulative winter precipitation values. Data are calculated from ensemble mean values across 20 global climate models from the CMIP5 experiment [&lt;a href="http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1"&gt;Taylor et al., 2012&lt;/a&gt;], downscaled to a 4km grid. For more information on the downscaling method and to access the raw data used to create this dataset, please see Abatzoglou and Brown, [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/joc.2312/full"&gt;2012&lt;/a&gt;] and the &lt;a href="http://maca.northwestknowledge.net"&gt;Northwest Climate Science Center&lt;/a&gt;. We used the MACAv2-metdata monthly dataset and summed precipitation over winter months (November-March). Values are averaged over the period 1975-2005 to represent historical conditions. Units are millimeters. More information on the project associated with this dataset is available from the U.S. Forest Service &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html"&gt;Rocky Mountain Research Station&lt;/a&gt;, including &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;detailed metadata&lt;/a&gt;; these raster data are available for download &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;here&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/4f179a9127e441088efac2930fe4a2fb</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/4f179a9127e441088efac2930fe4a2fb/license.json</license><modified>2018-01-10</modified><spatial>-134.91336517510808,21.082969302706488,-56.90070213154654,52.37089914390312</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/4f179a9127e441088efac2930fe4a2fb</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/4f179a9127e441088efac2930fe4a2fb</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_Climate/AvgWinterPrecip_Historical/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_Climate/AvgWinterPrecip_Historical/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Integrated Resource Restoration (IRR): Line (Feature Layer)</title><description>Depicts the area of activities funded through the NFRR Budget Line Item and reported through the FACTS database. (The activities fall under number of acres treated annually to sustain or restore watershed function: acres of forestlands treated using timber sales, acres of forestland vegetation improved, acres of forestland vegetation established, acres of rangeland vegetation improved, acres treated for noxious weeds/invasive plants on NFS lands, and acres of hazardous fuels treated outside the wildland/urban interface (WUI) to reduce the risk of catastrophic wildland fire) and are self-reported by Forest Service Units.<2E>&lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_IRR_LN.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-05-03</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/1a903ababa4b4458b35ccda8c3cb3cb1_2</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/1a903ababa4b4458b35ccda8c3cb3cb1_2/license.json</license><modified>2017-08-24</modified><spatial>-125.389,24.222,-73.709,49.849</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/1a903ababa4b4458b35ccda8c3cb3cb1_2</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/1a903ababa4b4458b35ccda8c3cb3cb1_2</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_IRR_01/MapServer/2</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/1a903ababa4b4458b35ccda8c3cb3cb1_2.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/1a903ababa4b4458b35ccda8c3cb3cb1_2.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/1a903ababa4b4458b35ccda8c3cb3cb1_2.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/1a903ababa4b4458b35ccda8c3cb3cb1_2.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Integrated Resource Restoration (IRR): Point (Feature Layer)</title><description>Depicts the area of activities funded through the NFRR Budget Line Item and reported through the FACTS database. (The activities fall under number of acres treated annually to sustain or restore watershed function: acres of forestlands treated using timber sales, acres of forestland vegetation improved, acres of forestland vegetation established, acres of rangeland vegetation improved, acres treated for noxious weeds/invasive plants on NFS lands, and acres of hazardous fuels treated outside the wildland/urban interface (WUI) to reduce the risk of catastrophic wildland fire) and are self-reported by Forest Service Units.<2E>&lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_IRR_PT.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-05-03</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d6c7b19ee3d54f42b53fad7d8233a3e0_1</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d6c7b19ee3d54f42b53fad7d8233a3e0_1/license.json</license><modified>2017-12-01</modified><spatial>-126.142,24.595,-69.892,49.886</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d6c7b19ee3d54f42b53fad7d8233a3e0_1</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d6c7b19ee3d54f42b53fad7d8233a3e0_1</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_IRR_01/MapServer/1</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d6c7b19ee3d54f42b53fad7d8233a3e0_1.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d6c7b19ee3d54f42b53fad7d8233a3e0_1.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d6c7b19ee3d54f42b53fad7d8233a3e0_1.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d6c7b19ee3d54f42b53fad7d8233a3e0_1.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Integrated Resource Restoration (IRR): Polygon (Feature Layer)</title><description>Depicts the area of activities funded through the NFRR Budget Line Item and reported through the FACTS database. (The activities fall under number of acres treated annually to sustain or restore watershed function: acres of forestlands treated using timber sales, acres of forestland vegetation improved, acres of forestland vegetation established, acres of rangeland vegetation improved, acres treated for noxious weeds/invasive plants on NFS lands, and acres of hazardous fuels treated outside the wildland/urban interface (WUI) to reduce the risk of catastrophic wildland fire) and are self-reported by Forest Service Units. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_IRR_PL.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-05-03</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/9bcbf723aafe4041a8047c290d19feec_3</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/9bcbf723aafe4041a8047c290d19feec_3/license.json</license><modified>2017-12-17</modified><spatial>-125.537,23.795,-73.506,48.857</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/9bcbf723aafe4041a8047c290d19feec_3</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/9bcbf723aafe4041a8047c290d19feec_3</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_IRR_01/MapServer/3</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/9bcbf723aafe4041a8047c290d19feec_3.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/9bcbf723aafe4041a8047c290d19feec_3.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/9bcbf723aafe4041a8047c290d19feec_3.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/9bcbf723aafe4041a8047c290d19feec_3.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Knustson-Vandenberg (Feature Layer)</title><description>The Knutson-Vandenberg Act (K-V) of June 9, 1930 (16 U.S.C. 576-576b; 46 Stat. 527), as amended by the National Forest Management Act of October 22, 1976 (16 U.S.C. 1600 et seq.) authorized collection of deposits from federal timber purchasers for prompt and efficient use of funds to reestablish, protect, and improve the production of renewable resources on timber sale areas. This includes performing soil improvement and watershed restoration, wildlife habitat improvement, control of insects, disease, and noxious weeds, tree planting, seeding and other cultural treatments necessary to maintain and improve land productivity. Since its creation millions of acres of National Forest System lands (NFS) have been treated and restored to resilient conditions and terrestrial and aquatic habitat improved. Public Law 109-54 of August 2, 2005, Title IV <20>General Provisions, Sec 412 further amended the K-V Act to allow the collection and use of CWKV funds for watershed restoration, wildlife habitat improvement, to prepare timber sales, control of insects, disease, and noxious weeds, fire community protection activities, and the maintenance of forest roads within the Forest Service region in which the timber sale occurred. Provided that such activities may be performed through the use of contracts, forest product sales, and cooperative agreements. Note that these activities are to be performed by contract and not Forest Service personnel. The Forest Service used this amendment to administratively create two K-V programs within the K-V fund; CWKV (Cooperative Work, Knutson-Vandenberg, Sale Area Projects) and CWK2 (Cooperative Work, Knutson-Vandenberg, Regional Projects). This layer shows the spatial representation where activities accomplished and funded with CWKV and CWK2 funds and reported through the Forest Service Activity Tracking System (FACTS) database. It is important to note that this layer may not contain all CWKV or CWK2 accomplished activities; the spatial portion of the activity description is not currently enforced by FACTS and at this time some are optionally reported by Forest Service units. As spatial data reporting is enforced by the application and acceptant of reporting both tabular and spatial we hope to improve the quality and comprehensiveness of the data used for this layer in coming years.<2E>&lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_KnutsonVandenberg.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-05-03</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f7dafcc811204aeeb3712b753851cbdd_8</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f7dafcc811204aeeb3712b753851cbdd_8/license.json</license><modified>2017-12-01</modified><spatial>-127.112,23.911,-74.729,49.856</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f7dafcc811204aeeb3712b753851cbdd_8</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f7dafcc811204aeeb3712b753851cbdd_8</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_KnutsonVandenberg_01/MapServer/8</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f7dafcc811204aeeb3712b753851cbdd_8.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f7dafcc811204aeeb3712b753851cbdd_8.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f7dafcc811204aeeb3712b753851cbdd_8.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f7dafcc811204aeeb3712b753851cbdd_8.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_KnutsonVandenberg_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>LANDFIRE Canopy and Surface Fuel</title><description>LANDFIRE (LF) fuel data describe the composition and characteristics of surface and canopy fuel. LF fuel products: &lt;div&gt;&lt;ul&gt;&lt;li&gt;provide consistent fuel data to support fire planning, analysis, and budgeting to evaluate fire management alternatives&lt;br /&gt;&lt;/li&gt;&lt;li&gt;supplement strategic and tactical planning for fire operations&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2017-04-14</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/9d6284619b1b498eab323403d5e1ad1b</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/9d6284619b1b498eab323403d5e1ad1b/license.json</license><modified>2017-08-24</modified><spatial>-149.58,22.221,-70.83,61.749</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/9d6284619b1b498eab323403d5e1ad1b</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial, National Geospatial Data Asset, NGDA, Land Use Land Cover Theme</categories><distribution><accessURL>https://www.landfire.gov/fuel.php</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>LANDFIRE Existing and Potential Vegetation</title><description>LANDFIRE (LF) vegetation layers describe the following elements: existing vegetation type (EVT), existing vegetation canopy cover (EVC), and existing vegetation height (EVH). These layers are created using predictive landscape models based on extensive field-referenced data, satellite imagery and biophysical gradient layers using classification and regression trees. LF potential vegetation layers describe the following elements: bio-physical settings (BPS) and environmental site potential (ESP). These layers are created using predictive landscape models based on extensive field-referenced data and biophysical gradient layers using classification and regression trees.</description><accessLevel>public</accessLevel><issued>2017-04-14</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/4442476e13074175a9993314403b15f2</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/4442476e13074175a9993314403b15f2/license.json</license><modified>2017-12-01</modified><spatial>-136.89,17.994,-73.608,58.086</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/4442476e13074175a9993314403b15f2</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial, National Geospatial Data Asset, NGDA, Land Use Land Cover Theme</categories><distribution><accessURL>https://www.landfire.gov/vegetation.php</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>LANDFIRE Historical Fire Regimes</title><description>Historical fire regimes, intervals, and vegetation conditions are mapped using the Vegetation Dynamics Development Tool (VDDT). These data support fire and landscape management planning goals in the National Cohesive Wildland Fire Management Strategy, the Federal Wildland Fire Management Policy, and the Healthy Forests Restoration Act.</description><accessLevel>public</accessLevel><issued>2017-04-14</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/132b51b0f30d447a94147980881cc541</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/132b51b0f30d447a94147980881cc541/license.json</license><modified>2017-08-24</modified><spatial>-149.58,22.221,-70.83,61.749</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/132b51b0f30d447a94147980881cc541</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial, National Geospatial Data Asset, NGDA, Land Use Land Cover Theme</categories><distribution><accessURL>https://www.landfire.gov/fireregime.php</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Land Management Planning Unit (Feature Layer)</title><description>The Land Management Planning Unit (LMPU) feature class displays the plan revision status for FS land management planning units, their boundaries, FS Region, planning phase milestone and associated date, and link to a related planning website. A land management plan provides a framework for integrated resource management and for guiding project and activity decision-making on a nationalforest, grassland, prairie, or other administrative unit. New plan development is required for new NFS units; an existing plan may be amended at any time.</description><accessLevel>public</accessLevel><issued>2017-04-14</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/741645571128496e87c9c0bf3287401b_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/741645571128496e87c9c0bf3287401b_0/license.json</license><modified>2017-12-01</modified><spatial>-150.0077,18.2312,-65.6997,61.519</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/741645571128496e87c9c0bf3287401b_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL 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WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_LandManagementPlanningUnit_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Land Utilization (Feature Layer)</title><description>A unit designated by the Secretary of Agriculture for conservation and utilization under Title III of the Bankhead-Jones Farm Tenant Act. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.LandUtilizationProject.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/caa117afd1d04d54aaa3609958cb9db9_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/caa117afd1d04d54aaa3609958cb9db9_0/license.json</license><modified>2017-12-01</modified><spatial>-117.3491,31.4296,-84.7517,48.4509</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/caa117afd1d04d54aaa3609958cb9db9_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/caa117afd1d04d54aaa3609958cb9db9_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_LandUtilizationProject_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/caa117afd1d04d54aaa3609958cb9db9_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/caa117afd1d04d54aaa3609958cb9db9_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/caa117afd1d04d54aaa3609958cb9db9_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/caa117afd1d04d54aaa3609958cb9db9_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Land and Water Conservation Fund Projects (Feature Layer)</title><description>This dataset contains general location points for parcels proposed for purchase under the Land and Water Conservation Fund (LWCF) Program for FY14 and future years. These data represent project proposals from the USDA Forest Service, USDI National Park Service, USDI Fish and Wildlife Service, and USDI Bureau of Land Management.<2E>&lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Federal_LWCF_Projects.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-05-03</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/08e4205acc5c42c9be772aa370e6c7c7_13</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/08e4205acc5c42c9be772aa370e6c7c7_13/license.json</license><modified>2017-12-01</modified><spatial>-155.7291,18.35,-64.7314,61.488</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/08e4205acc5c42c9be772aa370e6c7c7_13</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/08e4205acc5c42c9be772aa370e6c7c7_13</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_LWCFProjects_01/MapServer/13</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/08e4205acc5c42c9be772aa370e6c7c7_13.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/08e4205acc5c42c9be772aa370e6c7c7_13.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/08e4205acc5c42c9be772aa370e6c7c7_13.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/08e4205acc5c42c9be772aa370e6c7c7_13.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Land and Water Conservation Fund: Proposed Land Purchases (Feature Layer)</title><description>This dataset contains parcels proposed for purchase under the Land and Water Conservation Fund (LWCF) Program. Also, some polygons in this dataset are meant to provide supporting information or historical context for parcels proposed for purchase under the Land and Water Conservation Fund (LWCF) Program.<2E>&lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.LWCF_PurchaseProposal.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-05-03</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bfde22dfd20741a08d48253ea250d079_20</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bfde22dfd20741a08d48253ea250d079_20/license.json</license><modified>2017-12-01</modified><spatial>-144.2292,30.1229,-70.9833,60.4564</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bfde22dfd20741a08d48253ea250d079_20</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bfde22dfd20741a08d48253ea250d079_20</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_LWCF_01/MapServer/20</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bfde22dfd20741a08d48253ea250d079_20.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bfde22dfd20741a08d48253ea250d079_20.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bfde22dfd20741a08d48253ea250d079_20.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bfde22dfd20741a08d48253ea250d079_20.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_LWCF_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Long-term site responses to season and interval of underburns on the Georgia Piedmont</title><description>Between 1987 and 1988, twenty-four approximately 2-acre plots were established in Jones County, Georgia on the Hitchiti Experimental Forest which is also known as the Brender Demonstration Forest. These plots have not burned since prior to 1939. Treatments were applied to track site changes over time from five short return interval underburn treatments. These treatments, replicated 4 times, were comprised of: biennial dormant season headfires, triennial dormant season headfires, triennial dormant season backfires, triennial growing season headfires, growing season headfires every 6 years, and unburned controls. Triennial dormant season treatments were eventually combined. Variables tracked over time include the impact of fire on overstory pine growth, midstory (in this study midstory includes understory plants &amp;gt; 4.5 feet high) structure and composition, seedling (in this study including all woody plants &amp;lt; 4.5 feet high and all other plants regardless of height) species dominance, percent cover, pine seedling establishment and mortality, and forest floor consumption. Several thousand overstory and midstory trees were tagged, GPS coordinates recorded and their survival and growth followed over time. Vegetation was measured in nested circular plots and on line transects. Live and dead overstory trees on two 0.2 acre (1/5 ac) subplots per treatment plot were tallied annually by species with diameter at breast height and height, measured and pest damage/mortality by pathogen, lightning and wind damage recorded. Basal area was calculated periodically. Some overstory pines were bored to determine age (typically after death). Midstory live and dead trees were tallied annually on six 0.02 acre subplots per treatment plot. Seedlings were tallied on eighteen 0.001 acre (MA = milacre) subplots per treatment plot by species/species group, and percent of the subplot area in vines, herbs, moss, live woody material, dead plant material, and void of plant material (exposed mineral soil). Six 33 feet line transects per treatment plot were divided into 6 inch segments and dominant seedling species/species group tallied annually. Over 150 species/species groups were identified and tracked over time. Weights of likely available live fuel were determined by species/species group prior to each burn, as were weights of likely available dead fuel for various categories/size classes. Paired postburn samples were collected to determine consumption of various fuel categories. Overstory and midstory pine crown scorch, foliage consumption, and hardwood mortality were tallied within two weeks following each burn. Other vegetation datasets include pine seedling establishment and survival over time on the 18 MA subplots per treatment plot. Red cockaded woodpecker (RCW) related information was collected annually by Region 8 (Southern Region) of the USFS and is available from them. Live and dead fuel moisture data were sampled prior to every burn and can include preburn moisture content grab samples, 10-hour fuel stick readings, and random lumber probe readings. Fire behavior records of headfires and backfires can include rate of spread, flame length, flame angle, flame zone depth, short distance spotting, slopovers, burnout time, and percent of plot burned. The study plan called for observations of fire residence time as well, but such observations were rarely recorded. Weather data include on-plot hand-held instrument observations of surface wind velocity, ambient temperature and relative humidity (RH). On-site data collected can include precipitation, ambient temperature, RH and wind traces from recording gauges. Keetch Byram Drought Index (KBDI) calculation and National Fire danger Rating System NFDRS predictions and other weather observations taken at two nearby Georgia Forestry Commission weather stations were also included.</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/05e7b05a038041678748b0d66ca7c8ca</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/05e7b05a038041678748b0d66ca7c8ca/license.json</license><modified>2017-12-01</modified><spatial>-180.0,-90.0,180.0,90.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/05e7b05a038041678748b0d66ca7c8ca</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://doi.org/10.2737/RDS-2016-0028</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Mineral Rights (Feature Layer)</title><description>An area depicting ownership parcels of the subsurface estate representing mineral rights; it is collected only if the subsurface estate is different than the overlying surface estate. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.MINERALRIGHT.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-12</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/43324ab0ead14e4c8ffdecfdc62a22c8_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/43324ab0ead14e4c8ffdecfdc62a22c8_0/license.json</license><modified>2017-12-01</modified><spatial>-152.793,18.2434,-65.7069,61.1241</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/43324ab0ead14e4c8ffdecfdc62a22c8_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/43324ab0ead14e4c8ffdecfdc62a22c8_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_MineralRights_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/43324ab0ead14e4c8ffdecfdc62a22c8_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/43324ab0ead14e4c8ffdecfdc62a22c8_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/43324ab0ead14e4c8ffdecfdc62a22c8_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/43324ab0ead14e4c8ffdecfdc62a22c8_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Monitoring Trends in Burn Severity Burned Area Boundaries (Feature Layer)</title><description>The Monitoring Trends in Burn Severity MTBS project assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (includes wildfire, wildland fire use, and prescribed fire) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 through 2014. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a vector polygon of the location of all currently inventoried and mappable MTBS fires occurring between calendar year 1984 and 2014 for the continental United States, Alaska, Hawaii and Puerto Rico. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.MTBS_BURN_AREA_BOUNDARY.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-05-04</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/847db1a51b0c4bb0a3663bcbce32ccb1_63</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/847db1a51b0c4bb0a3663bcbce32ccb1_63/license.json</license><modified>2017-12-01</modified><spatial>-165.9252,17.9474,-65.3382,70.1589</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/847db1a51b0c4bb0a3663bcbce32ccb1_63</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/847db1a51b0c4bb0a3663bcbce32ccb1_63</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_MTBS_01/MapServer/63</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/847db1a51b0c4bb0a3663bcbce32ccb1_63.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/847db1a51b0c4bb0a3663bcbce32ccb1_63.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/847db1a51b0c4bb0a3663bcbce32ccb1_63.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/847db1a51b0c4bb0a3663bcbce32ccb1_63.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Monitoring Trends in Burn Severity Conterminous United States</title><description>Burn severity layers are thematic images depicting severity as unburned to low, low, moderate, high, and increased greenness (increased post-fire vegetation response). The layer may also have a sixth class representing a mask for clouds, shadows, large water bodies, or other features on the landscape that erroneously affect the severity classification. This data has been prepared as part of the Monitoring Trends in Burn Severity (MTBS) project. Due to the lack of comprehensive fire reporting information and quality Landsat imagery, burn severity for all targeted MTBS fires are not available. Additionally, the availability of burn severity data for fires occurring in the current and previous calendar year is variable since these data are currently in production and released on an intermittent basis by the MTBS project.</description><accessLevel>public</accessLevel><issued>2017-06-08</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b292ef96fb734f44b26569e75516e216</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b292ef96fb734f44b26569e75516e216/license.json</license><modified>2018-01-03</modified><spatial>-127.035,24.367,-73.949,49.724</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b292ef96fb734f44b26569e75516e216</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/RDW_Wildfire/MTBS_CONUS/MapServer</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Monitoring Trends in Burn Severity Fire Occurrence Locations (Feature Layer)</title><description>The Monitoring Trends in Burn Severity MTBS project assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (includes wildfire, wildland fire use, and prescribed fire) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 through 2014. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a vector point of the location of all currently inventoried and mappable fires occurring between calendar year 1984 and 2014 for the continental United States, Alaska, Hawaii and Puerto Rico. The point location represents the geographic centroid for the _BURN_AREA_BOUNDARY polygon(s) associated with each fire. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.MTBS_FIRE_OCCURRENCE_PT.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-05-04</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/81284bfaf86a4fa2a7d49c74424ffe1e_62</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/81284bfaf86a4fa2a7d49c74424ffe1e_62/license.json</license><modified>2017-08-24</modified><spatial>-165.881,17.957,-65.35,70.139</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/81284bfaf86a4fa2a7d49c74424ffe1e_62</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial, National Geospatial Data Asset, NGDA, Land Use Land Cover Theme</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/81284bfaf86a4fa2a7d49c74424ffe1e_62</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_MTBS_01/MapServer/62</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/81284bfaf86a4fa2a7d49c74424ffe1e_62.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/81284bfaf86a4fa2a7d49c74424ffe1e_62.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/81284bfaf86a4fa2a7d49c74424ffe1e_62.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/81284bfaf86a4fa2a7d49c74424ffe1e_62.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Monitoring Trends in Burn Severity Hawaii</title><description>Burn severity layers are thematic images depicting severity as unburned to low, low, moderate, high, and increased greenness (increased post-fire vegetation response). The layer may also have a sixth class representing a mask for clouds, shadows, large water bodies, or other features on the landscape that erroneously affect the severity classification. This data has been prepared as part of the Monitoring Trends in Burn Severity (MTBS) project. Due to the lack of comprehensive fire reporting information and quality Landsat imagery, burn severity for all targeted MTBS fires are not available. Additionally, the availability of burn severity data for fires occurring in the current and previous calendar year is variable since these data are currently in production and released on an intermittent basis by the MTBS project.</description><accessLevel>public</accessLevel><issued>2017-06-08</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/eb1520020b82462c987e8f7c07cd8062</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/eb1520020b82462c987e8f7c07cd8062/license.json</license><modified>2018-01-19</modified><spatial>-178.539,18.229,-152.172,30.221</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/eb1520020b82462c987e8f7c07cd8062</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>National Geospatial Data Asset, NGDA, Land Use Land Cover Theme</categories><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/RDW_Wildfire/MTBS_Hawaii/MapServer</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Monitoring Trends in Burn Severity Puerto Rico</title><description>Burn severity layers are thematic images depicting severity as unburned to low, low, moderate, high, and increased greenness (increased post-fire vegetation response). The layer may also have a sixth class representing a mask for clouds, shadows, large water bodies, or other features on the landscape that erroneously affect the severity classification. This data has been prepared as part of the Monitoring Trends in Burn Severity (MTBS) project. Due to the lack of comprehensive fire reporting information and quality Landsat imagery, burn severity for all targeted MTBS fires are not available. Additionally, the availability of burn severity data for fires occurring in the current and previous calendar year is variable since these data are currently in production and released on an intermittent basis by the MTBS project.</description><accessLevel>public</accessLevel><issued>2017-06-08</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/9bebeb6ee2cf48a58e7a2a2edddccba3</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/9bebeb6ee2cf48a58e7a2a2edddccba3/license.json</license><modified>2018-01-19</modified><spatial>-67.911,17.241,-64.703,19.078</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/9bebeb6ee2cf48a58e7a2a2edddccba3</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial, National Geospatial Data Asset, NGDA, Land Use Land Cover Theme</categories><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/RDW_Wildfire/MTBS_PuertoRico/MapServer</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Motor Vehicle Use Map: Roads (Feature Layer)</title><description>The feature class indicates the specific types of motorized vehicles allowed on the designated routes and their seasons of use. The feature class is designed to be consistent with the MVUM (Motor Vehicle Use Map). It is compiled from the GIS Data Dictionary data and NRM Infra tabular data that the administrative units have prepared for the creation of their MVUMs. Only roads with a SYMBOL attribute value of 1, 2, 3, 4, 11, and 12 are Forest Service System roads and contain data concerning their availability for OHV (Off Highway Vehicle) use. This data is published and refreshed on a unit by unit basis as needed. Data for each individual unit must be verified and proved consistent with the published MVUMs prior to publication.The Forest Service's Natural Resource Manager (NRM) Infrastructure (Infra) is the agency standard for managing and reporting information about inventory of constructed features and land units as well as the permits sold to the general public and to partners. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Road_MVUM.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5137012764df4f2abbd66e8077d51f38_1</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5137012764df4f2abbd66e8077d51f38_1/license.json</license><modified>2018-01-11</modified><spatial>-149.9814,28.961,-76.738,61.029</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5137012764df4f2abbd66e8077d51f38_1</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5137012764df4f2abbd66e8077d51f38_1</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_MVUM_01/MapServer/1</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5137012764df4f2abbd66e8077d51f38_1.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5137012764df4f2abbd66e8077d51f38_1.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5137012764df4f2abbd66e8077d51f38_1.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5137012764df4f2abbd66e8077d51f38_1.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Forest Climate Change Maps</title><description>The National Forest Climate Change Maps project was developed to meet the need of National Forest managers for information on projected climate changes at a scale relevant to decision making processes, including Forest Plans. The maps use state-of-the-art science and are available for every National Forest in the contiguous United States with relevant data coverage. Currently, the map sets include variables related to precipitation, air temperature, snow (including April 1 snow water equivalent (SWE), and snow residence time), and stream flow.<2E>&lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html" target="_blank"&gt;Download this data or get more information&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-11-24</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/57ae8acf50694d3e933d2f69031947ea</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/57ae8acf50694d3e933d2f69031947ea/license.json</license><modified>2018-01-03</modified><spatial>-180.0,-90.0,180.0,90.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/57ae8acf50694d3e933d2f69031947ea</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/RDW_Climate/NationalForestClimateChangeMaps/MapServer</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Forest Lands with Nationally Designated Management or Use Limitations (Feature Layer)</title><description>An area depicting National Forest System land parcels that have management or use limits placed on them by legal authority. Examples are: National Recreation Area, National Monument, and National Game Refuge. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.OtherNationalDesignatedArea.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5843989e5fa14ad4b2f14e0655270771_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5843989e5fa14ad4b2f14e0655270771_0/license.json</license><modified>2017-12-06</modified><spatial>-150.0077,29.1064,-72.8012,61.519</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5843989e5fa14ad4b2f14e0655270771_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5843989e5fa14ad4b2f14e0655270771_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_OtherNationalDesignatedArea_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5843989e5fa14ad4b2f14e0655270771_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5843989e5fa14ad4b2f14e0655270771_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5843989e5fa14ad4b2f14e0655270771_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5843989e5fa14ad4b2f14e0655270771_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Forest Lands with Nationally Designated Management or Use Limitations: Legal Status (Feature Layer)</title><description>The legal status of the area depicting National Forest System land parcels that have management or use limits placed on them by legal authority above the Agency level (e.g. Congress and/or President). Areas that have been designated by Congress, Executive Order, Presidential Proclamation, or an Executive branch Department, excluding National Wilderness and National Wild &amp;amp; Scenic Rivers, with related details including the date of the designation, status of the final boundary description, authority, and land status case and document information.?&lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.OthNatlDesgAreaStatus.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-10</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/8aefd316a21a49748a42edff6dded73b_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/8aefd316a21a49748a42edff6dded73b_0/license.json</license><modified>2018-01-08</modified><spatial>-150.0077,29.1064,-72.8012,61.519</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/8aefd316a21a49748a42edff6dded73b_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/8aefd316a21a49748a42edff6dded73b_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_OtherNationalDesignatedAreaStatus_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/8aefd316a21a49748a42edff6dded73b_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/8aefd316a21a49748a42edff6dded73b_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/8aefd316a21a49748a42edff6dded73b_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/8aefd316a21a49748a42edff6dded73b_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Forest System Land Units (Feature Layer)</title><description>An NFS Land Unit is nationally significant classification of Federally owned forest, range, and related lands that are administered by the USDA Forest Service or designated for administration through the Forest Service. NFS Land Unit types include proclaimed national forest, purchase unit, national grassland, land utilization project, research and experimental area, national preserve, and other land area. Each NFS Land Unit is identified by a National Forest Fiscal Identifier (NFFID) code, a unique 4-digit number that is used for accounting purposes. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.NFSLandUnit.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-14</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/6fb78d4e631948a6b0fa176858d1b457_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/6fb78d4e631948a6b0fa176858d1b457_0/license.json</license><modified>2018-01-11</modified><spatial>-150.0077,17.739,-64.7343,61.519</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/6fb78d4e631948a6b0fa176858d1b457_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL 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API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/6fb78d4e631948a6b0fa176858d1b457_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/6fb78d4e631948a6b0fa176858d1b457_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/6fb78d4e631948a6b0fa176858d1b457_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/6fb78d4e631948a6b0fa176858d1b457_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Forest System Roads (Feature Layer)</title><description>Existing Forest Service roads with attributes representing their characteristics. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.RoadCore_FS.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/10342a0126564b0fb468b8dcb1b94b3a_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/10342a0126564b0fb468b8dcb1b94b3a_0/license.json</license><modified>2017-12-21</modified><spatial>-149.58,22.221,-70.83,61.749</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/10342a0126564b0fb468b8dcb1b94b3a_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/10342a0126564b0fb468b8dcb1b94b3a_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_RoadBasic_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/10342a0126564b0fb468b8dcb1b94b3a_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/10342a0126564b0fb468b8dcb1b94b3a_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/10342a0126564b0fb468b8dcb1b94b3a_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/10342a0126564b0fb468b8dcb1b94b3a_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_RoadBasic_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Forest System Roads closed to motorized uses (Feature Layer)</title><description>Existing Forest Service roads with attributes representing their characteristics. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.RoadCore_FS.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-12</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b365db10bd29460dbd5ab152aa2116c0_1</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b365db10bd29460dbd5ab152aa2116c0_1/license.json</license><modified>2017-12-21</modified><spatial>-149.9814,18.268,-65.7294,61.029</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b365db10bd29460dbd5ab152aa2116c0_1</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b365db10bd29460dbd5ab152aa2116c0_1</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_RoadBasic_01/MapServer/1</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b365db10bd29460dbd5ab152aa2116c0_1.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b365db10bd29460dbd5ab152aa2116c0_1.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b365db10bd29460dbd5ab152aa2116c0_1.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b365db10bd29460dbd5ab152aa2116c0_1.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_RoadBasic_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Forest System Trails (Feature Layer)</title><description>The TrailNFS_Publish Layer is designed to provide information about National Forest System trail locations and characteristics to the public. When fully realized, it will describe trail locations, basic characteristics of the trail, and where and when various trail uses are prohibited, allowed and encouraged. Because the data readiness varies between Forests, each Forest will approve which level of attribute subset are published for that forest. Forests can provide no information or one of three attribute subsets describing trails. The attribute subsets include TrailNFS_Centerline which includes the location and trail name and number; TrailNFS_Basic which adds information about basic trail characteristics; and TrailNFS_Mgmt which adds information about where and when users are prohibited, allowed, and encouraged. When a Forest chooses to provide the highest attribute subset, TrailNFS_Mgmt, these attributes must be consistent with the Forest's published Motorized Vehicle Use Map (MVUM). Metadata for the individual Forest feature classes used to compile this feature class are available at data.fs.usda.gov/geodata/edw/dir_trails.php. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.TrailNFS_Publish.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0969eb1cbb2f4a1d861ee58fff587cc2_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0969eb1cbb2f4a1d861ee58fff587cc2_0/license.json</license><modified>2017-12-25</modified><spatial>-150.0021,28.9714,-70.7928,61.1314</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0969eb1cbb2f4a1d861ee58fff587cc2_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0969eb1cbb2f4a1d861ee58fff587cc2_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_TrailNFSPublish_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0969eb1cbb2f4a1d861ee58fff587cc2_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0969eb1cbb2f4a1d861ee58fff587cc2_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0969eb1cbb2f4a1d861ee58fff587cc2_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0969eb1cbb2f4a1d861ee58fff587cc2_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Grassland Units (Feature Layer)</title><description>A National Grassland unit designated by the Secretary of Agriculture and permanently held by the Department of Agriculture under Title III of the Bankhead-Jones Farm Tenant Act. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.NationalGrassland.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-14</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b8db5d69787c408d9654a1f36438acbd_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b8db5d69787c408d9654a1f36438acbd_0/license.json</license><modified>2017-12-01</modified><spatial>-126.619,25.129,-89.353,46.531</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b8db5d69787c408d9654a1f36438acbd_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b8db5d69787c408d9654a1f36438acbd_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_NationalGrassland_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b8db5d69787c408d9654a1f36438acbd_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b8db5d69787c408d9654a1f36438acbd_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b8db5d69787c408d9654a1f36438acbd_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b8db5d69787c408d9654a1f36438acbd_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Insect and Disease Risk Maps</title><description>FHTET has completed the &lt;a href="https://www.fs.fed.us/foresthealth/technology/nidrm.shtml#NIDRMReport" target="_blank"&gt;2013 - 2027 National Insect and Disease Risk Map&lt;/a&gt; (2012 NIDRM); a nationwide strategic assessment and database of the potential hazard for tree mortality due to major forest insects and diseases. The goal of NIDRM is to summarize landscape-level patterns of potential insect and disease activity, consistent with the philosophy that science-based, transparent methods should be used to allocate pest-management resources across geographic regions and individual pest distributions. In other words: prioritize investment for areas where both hazard is significant and effective treatment can be efficiently implemented.</description><accessLevel>public</accessLevel><issued>2017-09-29</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/105239a9658f4f898923910dfc917fdb</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/105239a9658f4f898923910dfc917fdb/license.json</license><modified>2017-12-01</modified><spatial>-180.0,-90.0,180.0,90.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/105239a9658f4f898923910dfc917fdb</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://www.fs.fed.us/foresthealth/technology/nidrm.shtml</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Insect and Disease Risk Maps - 2012</title><description>FHTET has completed the 2012 Insect and Disease Risk Map; a nationwide strategic assessment and database of the potential hazard for tree mortality due to major forest insects and diseases. The goal of NIDRM is to summarize landscape-level patterns of potential insect and disease activity, consistent with the philosophy that science-based, transparent methods should be used to allocate pest-management resources across geographic regions and individual pest distributions. In other words: prioritize investment for areas where both hazard is significant and effective treatment can be efficiently implemented.</description><accessLevel>public</accessLevel><issued>2017-09-29</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f98c12e761454c629ca15189829eafca</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f98c12e761454c629ca15189829eafca/license.json</license><modified>2017-09-29</modified><spatial>-180.0,-90.0,180.0,90.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f98c12e761454c629ca15189829eafca</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://www.fs.fed.us/foresthealth/technology/nidrm2012.shtml</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Wild and Scenic River Lines (Feature Layer)</title><description>This polyline feature class depicts the river corridors of each Wild and Scenic River designated by Congress or the Secretary of the Interior for the United States and Puerto Rico. This GIS data layer was created from a mulit-agency effort by the US Forest Service, National Park Service, Bureau of Land Managment, and the US Fish and Wildlife Servce. The spatial data were referenced to the latest High Resolution National Hydrological Data Layer (NHD 1:24,000 Scale or better), published by United States Geological Survey (USGS). There are currently 208 Wild and Scenic Rivers in 39 States and the Commonwealth of Puerto Rico, totalling 12,708.8 miles. This is a little more than one-quarter of one percent of the nation's rivers. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.WildScenicRiver_LN.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-14</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/71c40a05063f4e6ebec08af558a9145c_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/71c40a05063f4e6ebec08af558a9145c_0/license.json</license><modified>2017-12-01</modified><spatial>-163.3,18.2333,-65.7486,69.0551</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/71c40a05063f4e6ebec08af558a9145c_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/71c40a05063f4e6ebec08af558a9145c_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_WildScenicRiverSegments_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/71c40a05063f4e6ebec08af558a9145c_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/71c40a05063f4e6ebec08af558a9145c_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/71c40a05063f4e6ebec08af558a9145c_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/71c40a05063f4e6ebec08af558a9145c_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_WildScenicRiverSegments_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_WildScenicRiverSegments_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Wild and Scenic River Segments (Feature Layer)</title><description>This polyline feature class depicts the classification of each wild and scenic river segment designated by Congress and the Secretary of the Interior for the United States and Puerto Rico. This layer was created by a multi-agency effort including the US Forest Service, National Park Service, Bureau of Land Management and the Fish and Wildlife Service. The spatial data were referenced to the latest High Resolution National Hydrological Data Layer (NHD 1:24,000 Scale or better), published by United States Geological Survey (USGS). Wild rivers are free of dams, generally inaccessible except by trail, and represent vestiges of primitive America. Scenic rivers are free of dams, with shorelines or watersheds still largely primitive and shorelines largely undeveloped, but accessible in places by roads. Recreational rivers are readily accessible by road or railroad, may have some development along their shorelines, and may have been dammed in the past. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.WildScenicRiverSegment_LN.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-14</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d7a7e66ff68044e4be51fbb76ecf0d0b_1</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d7a7e66ff68044e4be51fbb76ecf0d0b_1/license.json</license><modified>2017-12-01</modified><spatial>-163.3,18.2333,-65.7486,69.0551</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d7a7e66ff68044e4be51fbb76ecf0d0b_1</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL 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API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d7a7e66ff68044e4be51fbb76ecf0d0b_1.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d7a7e66ff68044e4be51fbb76ecf0d0b_1.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d7a7e66ff68044e4be51fbb76ecf0d0b_1.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d7a7e66ff68044e4be51fbb76ecf0d0b_1.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_WildScenicRiverSegments_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_WildScenicRiverSegments_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Wild and Scenic Rivers (Feature Layer)</title><description>A depiction of areas designated as Wild and Scenic Rivers. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.WildScenicRiver.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/183f02cd2f374c2bb7969bc4d9901ae7_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/183f02cd2f374c2bb7969bc4d9901ae7_0/license.json</license><modified>2017-12-01</modified><spatial>-124.4053,18.2614,-65.7448,49.0011</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/183f02cd2f374c2bb7969bc4d9901ae7_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/183f02cd2f374c2bb7969bc4d9901ae7_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_WildScenicRiver_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/183f02cd2f374c2bb7969bc4d9901ae7_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/183f02cd2f374c2bb7969bc4d9901ae7_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/183f02cd2f374c2bb7969bc4d9901ae7_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/183f02cd2f374c2bb7969bc4d9901ae7_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Wild and Scenic Rivers: Legal Status (Feature Layer)</title><description>The Land Status view of a Wild and Scenic River. Areas designated by Congress as part of the National Wild and Scenic River System, with related details including the date of the designation, status of the final boundary description, authority, and land status case and document information. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.WildScenicRiverStatus.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-10</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/fc3fc4a7a68541f9a225326aed303f19_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/fc3fc4a7a68541f9a225326aed303f19_0/license.json</license><modified>2017-12-01</modified><spatial>-124.4053,18.2614,-65.7448,49.0011</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/fc3fc4a7a68541f9a225326aed303f19_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/fc3fc4a7a68541f9a225326aed303f19_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_WildScenicRiverStatus_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/fc3fc4a7a68541f9a225326aed303f19_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/fc3fc4a7a68541f9a225326aed303f19_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/fc3fc4a7a68541f9a225326aed303f19_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/fc3fc4a7a68541f9a225326aed303f19_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Wilderness Areas (Feature Layer)</title><description>A parcel of Forest Service land congressionally designated as wilderness such as National Wilderness Area. Click this link for full metadata description: &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Wilderness.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-12</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f51197be7b224c06855541738811822e_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f51197be7b224c06855541738811822e_0/license.json</license><modified>2017-12-17</modified><spatial>-139.6362,18.2484,-65.7708,59.9997</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f51197be7b224c06855541738811822e_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f51197be7b224c06855541738811822e_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_Wilderness_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f51197be7b224c06855541738811822e_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f51197be7b224c06855541738811822e_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f51197be7b224c06855541738811822e_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f51197be7b224c06855541738811822e_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_Wilderness_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_Wilderness_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>National Wilderness Areas: Legal Status (Feature Layer)</title><description>The Land Status view of National Forest System land parcels that have legal descriptions such as National Wilderness Area, Primitive Area, or Wilderness Study Area. Areas designated by Congress as a part of the National Wilderness Preservation System, with related details including the date of the designation, status of the final boundary description, authority, and land status case and document. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.WildernessStatus.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-16</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/70dac7184e804326870fd3fdb9b52047_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/70dac7184e804326870fd3fdb9b52047_0/license.json</license><modified>2017-12-02</modified><spatial>-139.6362,18.2484,-65.7708,59.9997</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/70dac7184e804326870fd3fdb9b52047_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/70dac7184e804326870fd3fdb9b52047_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_WildernessStatus_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/70dac7184e804326870fd3fdb9b52047_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/70dac7184e804326870fd3fdb9b52047_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/70dac7184e804326870fd3fdb9b52047_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/70dac7184e804326870fd3fdb9b52047_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>NorWeST modeled summer stream temperature scenarios for the western U.S.</title><description>NorWeST summer stream temperature scenarios were developed for all rivers and streams in the western U.S. from the &amp;gt; 20,000 stream sites in the NorWeST database where mean August stream temperatures were recorded. The scenarios include: 1) Adobe PDF format maps depicting historical and future modeled mean August stream temperatures, 2) graphs (JPG format) demonstrating the accuracy of the temperature model, and 3) GIS shapefiles (SHP format) representing the spatially modeled stream temperatures. The GIS shapefiles include stream lines and associated mid-points representing 1 kilometer intervals along the stream network. Stream lines were derived from the 1:100,000 scale NHDPlus dataset (USEPA and USGS 2010; McKay et al. 2012). Shapefile extents correspond to NorWeST processing units, which generally relate to 6 digit (3rd code) hydrologic unit codes (HUCs) or in some instances closely correspond to state borders. The line and point shapefiles contain identical modeled stream temperature results. The two shapefile formats are meant to complement one another for use in different applications. In addition, spatial and temporal covariates used to generate the modeled temperatures are included in the shapefile attribute tables. The NorWeST NHDPlusV1 processing units include: Salmon, Clearwater, Spokoot, Missouri Headwaters, Snake-Bear, MidSnake, MidColumbia, Oregon Coast, South-Central Oregon, Upper Columbia-Yakima, Washington Coast, Upper Yellowstone-Bighorn, Upper Missouri-Marias, and Upper Green-North Platte. The NorWeST NHDPlusV2 processing units include: Lahontan Basin, Northern California-Coastal Klamath, Utah, Coastal California, Central California, Colorado, New Mexico, Arizona, and Black Hills.</description><accessLevel>public</accessLevel><issued>2017-11-24</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2691e2adc8eb481aa4565112bd3500a2</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2691e2adc8eb481aa4565112bd3500a2/license.json</license><modified>2017-12-01</modified><spatial>-180.0,-90.0,180.0,90.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2691e2adc8eb481aa4565112bd3500a2</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://doi.org/10.2737/RDS-2016-0033</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>NorWeST stream temperature data summaries for the western U.S.</title><description>NorWeST is an interagency stream temperature database and model for the western United States containing data from over 20,000 unique stream locations. Temperature observations were solicited from state, federal, tribal, private, and municipal resource organizations and processed using a custom cleaning script developed by Gwynne Chandler. Summaries of daily, weekly, and monthly means, minima, and maxima are provided for observation years. The data summaries and location information are available in user-friendly file formats that include: 1) a map (PDF) depicting the locations of in-stream thermographs (temperature sensors) for each processing unit, 2) a GIS shapefile (SHP) containing the location of these sensors for each processing unit, and 3) a tabular file (XLSX) containing observed temperature database summaries for data generally ranging from 1993 to 2015, dependent on the processing unit. Each point shapefile extent corresponds to NorWeST processing units, which generally relate to 6 digit (3rd code) hydrologic unit codes (HUCs). The tabular data can be joined to the observation point shapefile using the ID field OBSPRED_ID. The NorWeST NHDPlusV1 processing units include: Salmon, Clearwater, Spokoot, Missouri Headwaters, Snake-Bear, MidSnake, MidColumbia, Oregon Coast, South-Central Oregon, Upper Columbia-Yakima, Washington Coast, Upper Yellowstone-Bighorn, Upper Missouri-Marias, and Upper Green-North Platte. The NorWeST NHDPlusV2 processing units include: Lahontan Basin, Northern California-Coastal Klamath, Utah, Coastal California, Central California, Colorado, New Mexico, Arizona, and Black Hills.</description><accessLevel>public</accessLevel><issued>2017-11-24</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f8f4d40757204153ac5fcd6b132d0ec0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f8f4d40757204153ac5fcd6b132d0ec0/license.json</license><modified>2017-12-01</modified><spatial>-180.0,-90.0,180.0,90.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f8f4d40757204153ac5fcd6b132d0ec0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://doi.org/10.2737/RDS-2016-0032</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Other Sub Surface Right (Feature Layer)</title><description>An area depicting ownership parcels of the subsurface estate, excluding mineral rights; it is collected only if the subsurface estate is different than the overlying surface estate. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.OtherSubSurfaceRight.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e2f632ce34344b31a1a08cd86956567c_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e2f632ce34344b31a1a08cd86956567c_0/license.json</license><modified>2017-12-01</modified><spatial>-123.0978,34.5274,-81.549,41.809</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e2f632ce34344b31a1a08cd86956567c_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e2f632ce34344b31a1a08cd86956567c_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_OtherSubSurfaceRight_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e2f632ce34344b31a1a08cd86956567c_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e2f632ce34344b31a1a08cd86956567c_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e2f632ce34344b31a1a08cd86956567c_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e2f632ce34344b31a1a08cd86956567c_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Other Surface Right (Feature Layer)</title><description>An area depicting a right to a surface resource, excluding rights of way. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.OtherSurfaceRight.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/23ed0f9bb4f1422db69e106c7e7ca1d0_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/23ed0f9bb4f1422db69e106c7e7ca1d0_0/license.json</license><modified>2017-12-01</modified><spatial>-150.0031,18.322,-65.7633,61.1354</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/23ed0f9bb4f1422db69e106c7e7ca1d0_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/23ed0f9bb4f1422db69e106c7e7ca1d0_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_OtherSurfaceRight_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/23ed0f9bb4f1422db69e106c7e7ca1d0_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/23ed0f9bb4f1422db69e106c7e7ca1d0_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/23ed0f9bb4f1422db69e106c7e7ca1d0_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/23ed0f9bb4f1422db69e106c7e7ca1d0_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Overstory and regeneration data from the &amp;quot;Rehabilitation of cutover mixedwood stands&amp;quot; study at the Penobscot Experimental Forest</title><description>This data package contains crop tree, overstory, sapling, and regeneration data collected between 2008 and 2012 as part of the project titled &amp;quot;Rehabilitation of cutover mixedwood stands: An economic and silvicultural assessment of alternatives&amp;quot; as described in Appendix C of FS-NRS-07-08-01 &amp;quot;Silvicultural effects on composition, structure and growth of northern conifers in the Acadian Forest Region 2008 study plan&amp;quot; (also known as the Compartment Management Study, see Kenefic et al. 2015). While the Rehabilitation study was conducted within two management units of the Compartment Management Study (CMS) the data for the Rehabilitation study are independent of the CMS. The Rehabilitation study examined two levels of intervention treatments against controls in two stands that had been subjected to repeated commercial clearcutting harvests, last occurring 20 and 25 years before. The intervention treatments were 1) moderate treatment, in which crop trees were identified and released, and 2) intensive treatment, in which crop trees were released, unacceptable growing stock was removed, and fill planting of red spruce was conducted. Data are available in seven data sets: 1) crop tree stem map; 2) crop tree DBH (diameter at breast height) and mortality; 3) crop tree heights; 4) overstory DClass (diameter at breast height class); 5) sapling DClass; 6) regeneration tally; and 7) overstory plot locations.</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f408b4f983d74eeca72966008c420563</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f408b4f983d74eeca72966008c420563/license.json</license><modified>2017-11-27</modified><spatial>-180.0,-90.0,180.0,90.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f408b4f983d74eeca72966008c420563</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://doi.org/10.2737/RDS-2016-0024</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>PADUS FS Managed Surface Ownership Parcels (Feature Layer)</title><description>An area depicting ownership parcels of the surface estate. This data is intended for read-only use. The PAD-US feature classes were developed by the Forest Service for submission to the Protected Areas Database of the United States (PAD-US). It is the official inventory of public parks and other protected open space. With more than 3 billion acres in 150,000 holdings, the spatial data in PAD-US represents public lands held in trust by thousands of national, State and regional/local governments, as well as non-profit conservation organizations. PAD-US is published by the U.S. Geological Survey Gap Analysis Program (GAP). GAP produces data and tools that help meet critical national challenges such as biodiversity, conservation, recreation, public health, climate change adaptation, and infrastructure investment. USFS PAD-US data is pulled weekly from USFS Lands data. This dataset is more current than the combined annual update of PAD-US from USGS GAP.</description><accessLevel>public</accessLevel><issued>2017-04-28</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/71613cb4375f4873a773634f0452938d_3</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/71613cb4375f4873a773634f0452938d_3/license.json</license><modified>2017-08-24</modified><spatial>-150.0077,17.739,-64.7343,61.519</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/71613cb4375f4873a773634f0452938d_3</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/71613cb4375f4873a773634f0452938d_3</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_PADUS_01/MapServer/3</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/71613cb4375f4873a773634f0452938d_3.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/71613cb4375f4873a773634f0452938d_3.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/71613cb4375f4873a773634f0452938d_3.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/71613cb4375f4873a773634f0452938d_3.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_PADUS_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_PADUS_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>PADUS FS National Designated Areas (Feature Layer)</title><description>An area depicting designated land boundaries, excluding boundaries designated by proclamation. This data is intended for read-only use. The PAD-US feature classes were developed by the Forest Service for submission to the Protected Areas Database of the United States (PAD-US). It is the official inventory of public parks and other protected open space. With more than 3 billion acres in 150,000 holdings, the spatial data in PAD-US represents public lands held in trust by thousands of national, State and regional/local governments, as well as non-profit conservation organizations. PAD-US is published by the U.S. Geological Survey Gap Analysis Program (GAP). GAP produces data and tools that help meet critical national challenges such as biodiversity, conservation, recreation, public health, climate change adaptation, and infrastructure investment.</description><accessLevel>public</accessLevel><issued>2017-04-28</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/28b6119a1b664d88a9fad12e005eec82_1</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/28b6119a1b664d88a9fad12e005eec82_1/license.json</license><modified>2017-08-24</modified><spatial>-150.0077,18.2484,-65.7446,61.519</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/28b6119a1b664d88a9fad12e005eec82_1</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/28b6119a1b664d88a9fad12e005eec82_1</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_PADUS_01/MapServer/1</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/28b6119a1b664d88a9fad12e005eec82_1.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/28b6119a1b664d88a9fad12e005eec82_1.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/28b6119a1b664d88a9fad12e005eec82_1.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/28b6119a1b664d88a9fad12e005eec82_1.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_PADUS_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_PADUS_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>PADUS FS Proclaimed NF and National Grassland Boundaries (Feature Layer)</title><description>An area depicting designated land boundaries which are designated by proclamation. This data is intended for read-only use. The PAD-US feature classes were developed by the Forest Service for submission to the Protected Areas Database of the United States (PAD-US). It is the official inventory of public parks and other protected open space. With more than 3 billion acres in 150,000 holdings, the spatial data in PAD-US represents public lands held in trust by thousands of national, State and regional/local governments, as well as non-profit conservation organizations. PAD-US is published by the U.S. Geological Survey Gap Analysis Program (GAP). GAP produces data and tools that help meet critical national challenges such as biodiversity, conservation, recreation, public health, climate change adaptation, and infrastructure investment.</description><accessLevel>public</accessLevel><issued>2017-04-28</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/15c225b5d20d4b00b143f5574f83d31f_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/15c225b5d20d4b00b143f5574f83d31f_0/license.json</license><modified>2017-08-24</modified><spatial>-150.0077,18.0337,-65.6997,61.519</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/15c225b5d20d4b00b143f5574f83d31f_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/15c225b5d20d4b00b143f5574f83d31f_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_PADUS_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/15c225b5d20d4b00b143f5574f83d31f_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/15c225b5d20d4b00b143f5574f83d31f_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/15c225b5d20d4b00b143f5574f83d31f_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/15c225b5d20d4b00b143f5574f83d31f_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_PADUS_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_PADUS_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>PADUS FS Scenic and Conservation Easement Areas (Feature Layer)</title><description>An area depicting a type of special use authorization (usually granted for linear rights-of-way) that is utilized in those situations where a conveyance of a limited and transferable interest in NFS land is necessary or desirable to serve or facilitate authorized long-term uses, and that may be compensable according to its terms. This data is intended for read-only use. The PAD-US feature classes were developed by the Forest Service for submission to the Protected Areas Database of the United States (PAD-US). It is the official inventory of public parks and other protected open space. With more than 3 billion acres in 150,000 holdings, the spatial data in PAD-US represents public lands held in trust by thousands of national, State and regional/local governments, as well as non-profit conservation organizations. PAD-US is published by the U.S. Geological Survey Gap Analysis Program (GAP). GAP produces data and tools that help meet critical national challenges such as biodiversity, conservation, recreation, public health, climate change adaptation, and infrastructure investment.</description><accessLevel>public</accessLevel><issued>2017-04-28</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5acfa5150330471790feabcf519e79da_2</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5acfa5150330471790feabcf519e79da_2/license.json</license><modified>2017-08-24</modified><spatial>-146.3293,31.9994,-70.058,61.1354</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5acfa5150330471790feabcf519e79da_2</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5acfa5150330471790feabcf519e79da_2</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_PADUS_01/MapServer/2</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5acfa5150330471790feabcf519e79da_2.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5acfa5150330471790feabcf519e79da_2.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5acfa5150330471790feabcf519e79da_2.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5acfa5150330471790feabcf519e79da_2.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_PADUS_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_PADUS_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>PRISM Precipitation 30Yr Normal 800m Annual (Image Service)</title><description>Monthly 30-year &amp;quot;normal&amp;quot; dataset covering the conterminous U.S., averaged over the climatological period 1981-2010. Contains spatially gridded average annual precipitation at 800m grid cell resolution. Distribution of the point measurements to the spatial grid was accomplished using the PRISM model, developed and applied by Dr. Christopher Daly of the PRISM Climate Group at Oregon State University. This dataset was heavily peer reviewed, and is available free-of-charge on the PRISM website.</description><accessLevel>public</accessLevel><issued>2017-08-30</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2eee72535068445cb4a864d7276e9c11</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2eee72535068445cb4a864d7276e9c11/license.json</license><modified>2017-11-22</modified><spatial>-125.0208,24.0622,-66.4792,49.9375</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2eee72535068445cb4a864d7276e9c11</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2eee72535068445cb4a864d7276e9c11</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_Climate/Precip_30Yr_Normal_800m_Annual/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_Climate/Precip_30Yr_Normal_800m_Annual/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Parcels withdrawn from settlement, sale, mineral location, and/or entry (Feature Layer)</title><description>Federal land parcels that are withdrawn from settlement, sale, location, or entry under some or all of the general land and mineral laws in order to maintain other public values or purposes. A withdrawal area has one or more associated segregations. A segregation is a specific activity from which the area has been withdrawn such as settlement, sale, location, or entry. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Withdrawal.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a953e647849a4dee962267719990fd2b_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a953e647849a4dee962267719990fd2b_0/license.json</license><modified>2017-08-25</modified><spatial>-150.0031,31.3324,-79.1082,61.0646</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a953e647849a4dee962267719990fd2b_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a953e647849a4dee962267719990fd2b_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_Withdrawal_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a953e647849a4dee962267719990fd2b_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a953e647849a4dee962267719990fd2b_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a953e647849a4dee962267719990fd2b_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a953e647849a4dee962267719990fd2b_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Percent change in April 1 snow water equivalent (Image Service)</title><description>&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;This raster contains modeled percent changes in April 1 snow water equivalent (SWE) calculated using a spatial analog model. The model ingests mean winter average temperature and precipitation. For more information about the model, please see Luce et al., [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/2013WR014844/full"&gt;2014&lt;/a&gt;] and Lute and Luce [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/2017WR020752/full"&gt;2017&lt;/a&gt;]. Absolute changes in April 1 SWE is in units of millimeters. The temperature and precipitation data are ensemble mean values across 20 global climate models from the CMIP5 experiment [&lt;a href="http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1"&gt;Taylor et al., 2012&lt;/a&gt;], downscaled to a 4km grid. For more information on the downscaling method and to access the raw data used to create this dataset, please see Abatzoglou and Brown, [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/joc.2312/full"&gt;2012&lt;/a&gt;] and the &lt;a href="http://maca.northwestknowledge.net"&gt;Northwest Climate Science Center&lt;/a&gt;. We used the MACAv2-metdata monthly precipitation and minimum and maximum temperature datasets for the period 1975-2005 (historical) and 2071-2090 (RCP8.5, future). Average temperature was calculated as the arithmetic mean of minimum and maximum temperature datasets. Average temperature was averaged over the winter months (November through March) and precipitation was summed over the winter months. More information on the project associated with this dataset is available from the U.S. Forest Service &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html"&gt;Rocky Mountain Research Station&lt;/a&gt;, including &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;detailed metadata&lt;/a&gt;; these raster data are available for &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;here&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/57a2136672f84af78a40c56b0da8e9bb</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/57a2136672f84af78a40c56b0da8e9bb/license.json</license><modified>2018-01-10</modified><spatial>-134.91336517510808,21.082969302706488,-56.90070213154654,52.37089914390312</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/57a2136672f84af78a40c56b0da8e9bb</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/57a2136672f84af78a40c56b0da8e9bb</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_Climate/SnowWaterEquivApril1_PctChange/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_Climate/SnowWaterEquivApril1_PctChange/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Percent change in annual precipitation (Image Service)</title><description>&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;This raster contains values of the percent change in annual precipitation between historical and 2080s time periods. Data are calculated from ensemble mean values across 20 global climate models from the CMIP5 experiment [&lt;a href="http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1"&gt;Taylor et al., 2012&lt;/a&gt;], downscaled to a 4km grid. For more information on the downscaling method and to access the raw data used to create this dataset, please see Abatzoglou and Brown, [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/joc.2312/full"&gt;2012&lt;/a&gt;] and the &lt;a href="http://maca.northwestknowledge.net"&gt;Northwest Climate Science Center&lt;/a&gt;. We used the MACAv2-metdata monthly dataset and summed precipitation over the water year (1 Oct- 30 Sept). Percent change is calculated as the difference between historical annual precipitation (1975-2005) and future annual precipitation (2071-2090, RCP8.5), divided by historical annual precipitation, times 100. Units are millimeters. More information on the project associated with this dataset is available from the U.S. Forest Service &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html"&gt;Rocky Mountain Research Station&lt;/a&gt;, including &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;detailed metadata&lt;/a&gt;; these raster data are available for download &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;here&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/429428633a5e486289f6111d9cbe7065</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/429428633a5e486289f6111d9cbe7065/license.json</license><modified>2018-01-10</modified><spatial>-134.91336517510808,21.082969302706488,-56.90070213154654,52.37089914390312</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/429428633a5e486289f6111d9cbe7065</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/429428633a5e486289f6111d9cbe7065</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_Climate/AnnualPrecipitation_PctChange/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_Climate/AnnualPrecipitation_PctChange/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Percent change in snow residence time (Image Service)</title><description>&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;This raster contains modeled percent changes in snow residence time (SRT) calculated using a spatial analog model. The model ingests mean winter average temperature and precipitation. For more information about the model, please see Luce et al., [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/2013WR014844/full"&gt;2014&lt;/a&gt;] and Lute and Luce [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/2017WR020752/full"&gt;2017&lt;/a&gt;]. Absolute changes in snow residence time are in units of days. The temperature and precipitation data are ensemble mean values across 20 global climate models from the CMIP5 experiment [&lt;a href="http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1"&gt;Taylor et al., 2012&lt;/a&gt;], downscaled to a 4km grid. For more information on the downscaling method and to access the raw data used to create this dataset, please see Abatzoglou and Brown, [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/joc.2312/full"&gt;2012&lt;/a&gt;] and the &lt;a href="http://maca.northwestknowledge.net"&gt;Northwest Climate Science Center&lt;/a&gt;. We used the MACAv2-metdata monthly precipitation and minimum and maximum temperature datasets for the period 1975-2005 (historical) and 2071-2090 (RCP8.5, future). Average temperature was calculated as the arithmetic mean of minimum and maximum temperature datasets. Average temperature was averaged over the winter months (November through March) and precipitation was summed over the winter months. More information on the project associated with this dataset is available from the U.S. Forest Service &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html"&gt;Rocky Mountain Research Station&lt;/a&gt;, including &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;detailed metadata&lt;/a&gt;; these raster data are available for download &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;here&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f1879e9f6798461f8fd54719ea2231f8</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f1879e9f6798461f8fd54719ea2231f8/license.json</license><modified>2018-01-10</modified><spatial>-134.91336517510808,21.082969302706488,-56.90070213154654,52.37089914390312</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f1879e9f6798461f8fd54719ea2231f8</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f1879e9f6798461f8fd54719ea2231f8</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_Climate/SnowResidenceTime_PctChange/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_Climate/SnowResidenceTime_PctChange/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Percent change in winter precipitation (Image Service)</title><description>&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt;This raster contains values of the percent change in winter precipitation between historical and 2080s time periods. Data are calculated from ensemble mean values across 20 global climate models from the CMIP5 experiment [&lt;a href="http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1"&gt;Taylor et al., 2012&lt;/a&gt;], downscaled to a 4km grid. For more information on the downscaling method and to access the raw data used to create this dataset, please see Abatzoglou and Brown, [&lt;a href="http://onlinelibrary.wiley.com/doi/10.1002/joc.2312/full"&gt;2012&lt;/a&gt;] and the &lt;a href="http://maca.northwestknowledge.net"&gt;Northwest Climate Science Center&lt;/a&gt;. We used the MACAv2-metdata monthly dataset and summed precipitation over the water year (1 Oct- 30 Sept). Percent change is calculated as the difference between historical winter precipitation (1975-2005) and future winter precipitation (2071-2090, RCP8.5), divided by historical winter precipitation, times 100. Units are millimeters. More information on the project associated with this dataset is available from the U.S. Forest Service &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/national-forest-climate-change-maps.html"&gt;Rocky Mountain Research Station&lt;/a&gt;, including &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;detailed metadata&lt;/a&gt;; these raster data are available for download &lt;a href="https://www.fs.fed.us/rm/boise/AWAE/projects/NFS-regional-climate-change-maps/categories/us-raster-layers.html"&gt;here&lt;/a&gt;.&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2017-11-22</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/255fd742b15f4065a743e5a976511749</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/255fd742b15f4065a743e5a976511749/license.json</license><modified>2018-01-10</modified><spatial>-134.91336517510808,21.082969302706488,-56.90070213154654,52.37089914390312</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/255fd742b15f4065a743e5a976511749</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/255fd742b15f4065a743e5a976511749</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_Climate/AvgWinterPrecip_PctChange/ImageServer</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/fsgisx01/services/RDW_Climate/AvgWinterPrecip_PctChange/ImageServer</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Probabilistic Wildfire Risk</title><description>National burn probability (BP) and conditional fire intensity level (FIL) data were generated for the conterminous United States (US) using a geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. [2011]). The FSim system includes modules for weather generation, wildfire occurrence, fire growth, and fire suppression. FSim is designed to simulate the occurrence and growth of wildfires under tens of thousands of hypothetical contemporary fire seasons in order to estimate the probability of a given area (i.e., pixel) burning under current landscape conditions and fire management practices. The data presented here represent modeled BP and FIL for the conterminous US at a 270-meter grid spatial resolution. The six FILs correspond to flame-length classes as follows: FIL1 = &amp;lt; 2 feet (ft); FIL2 = 2 &amp;lt; 4 ft.; FIL3 = 4 &amp;lt; 6 ft.; FIL4 = 6 &amp;lt; 8 ft.; FIL5 = 8 &amp;lt; 12 ft.; FIL6 = 12+ ft. Because they indicate conditional probabilities (i.e., representing the likelihood of burning at a certain intensity level, given that a fire occurs), the FIL*_20160830 data must be used in conjunction with the BP_20160830 data for risk assessment.</description><accessLevel>public</accessLevel><issued>2017-06-08</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/203afc0fea1a411fa2147ba9c5ef6119</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/203afc0fea1a411fa2147ba9c5ef6119/license.json</license><modified>2018-01-03</modified><spatial>-127.738,24.046,-73.949,49.497</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/203afc0fea1a411fa2147ba9c5ef6119</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/RDW_Wildfire/ProbabilisticWildfireRisk/MapServer</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Public Land Survey Corner (Feature Layer)</title><description>A land survey point from a GCDB LX file, survey plat, or captured from a CFF land net coverage. Includes points generated by calculating an aliquot breakdown of a section.</description><accessLevel>public</accessLevel><issued>2017-04-10</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/fe9a1210855d462cb45bb292ec7b735f_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/fe9a1210855d462cb45bb292ec7b735f_0/license.json</license><modified>2017-12-01</modified><spatial>-150.07,22.221,-70.83,61.6</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/fe9a1210855d462cb45bb292ec7b735f_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/fe9a1210855d462cb45bb292ec7b735f_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_CornersAndMonuments_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/fe9a1210855d462cb45bb292ec7b735f_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/fe9a1210855d462cb45bb292ec7b735f_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/fe9a1210855d462cb45bb292ec7b735f_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/fe9a1210855d462cb45bb292ec7b735f_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_CornersAndMonuments_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_CornersAndMonuments_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Public Land Survey Monument (Feature Layer)</title><description>A land survey point from a GCDB LX file, survey plat, or captured from a CFF land net coverage. 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PLSS townships are subdivided in a spatial hierarchy of first, second, and third division. These divisions are typically aliquot parts ranging in size from 640 acres to 160 to 40 acres, and subsequently all the way down to 2.5 acres. 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and Private Forest Ownership Conterminous United States</title><description>The data are designed for strategic analyses at a national or regional scale which require spatially explicit information regarding the extent, distribution, and prevalence of the ownership types represented. The data are not recommended for tactical analyses on a sub-regional scale, or for informing local management decisions. 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target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-03-27</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7166a053729e4b81bfb17a709edf9813_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7166a053729e4b81bfb17a709edf9813_0/license.json</license><modified>2017-12-01</modified><spatial>-124.3118,29.8797,-70.7609,48.6329</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7166a053729e4b81bfb17a709edf9813_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7166a053729e4b81bfb17a709edf9813_0</accessURL><format>Web 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API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7166a053729e4b81bfb17a709edf9813_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7166a053729e4b81bfb17a709edf9813_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7166a053729e4b81bfb17a709edf9813_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7166a053729e4b81bfb17a709edf9813_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Ranger 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API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/668753ac078342b286f79fd8529d9e80_1.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/668753ac078342b286f79fd8529d9e80_1.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/668753ac078342b286f79fd8529d9e80_1.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/668753ac078342b286f79fd8529d9e80_1.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Rapid Assessment of Vegetation Condition after Wildfire (RAVG) Basal Area Percent Change</title><description>The USDA Forest Service Rapid Assessment of Vegetation Condition after Wildfire (RAVG) program produces geospatial data and maps of post-fire vegetation condition using standardized change detection methods based on Landsat or similar multispectral satellite imagery. RAVG data products characterize vegetation condition within a fire perimeter, and include estimates of percent change in basal area (BA), percent change in canopy cover (CC), and a standardized composite burn index (CBI). Standard thematic products include 7-class percent change in basal area (BA-7), 5-class percent change in canopy cover (CC-5), and 4-class CBI (CBI-4). Contingent upon the availability of suitable imagery, RAVG products are prepared for all wildland fires reported within the conterminous United States (CONUS) that include at least 1000 acres of forested National Forest System (NFS) land (500 acres for Regions 8 and 9 as of 2016). Data for individual fires are typically made available within 45 days after fire containment (&amp;quot;initial assessments&amp;quot;). Late-season fires, however, may be deferred until the following spring or summer (&amp;quot;extended assessments&amp;quot;). National mosaics of each thematic product are prepared annually. Mosaics of extended assessments, if any, are provided separately from initial assessment mosaics. This map service includes annual raster mosaics of published BA-7 datasets for fires that burned during calendar years 2013 through 2016, excluding 2016 extended assessments. The associated burned area perimeters are available via the Enterprise Data Warehouse (EDW, see https://data.fs.usda.gov/geodata/edw/datasets.php).</description><accessLevel>public</accessLevel><issued>2017-06-08</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/60d7ee2eb63f4e5cb99dc382ac1646f4</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/60d7ee2eb63f4e5cb99dc382ac1646f4/license.json</license><modified>2018-01-03</modified><spatial>-127.738,23.725,-72.894,50.847</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/60d7ee2eb63f4e5cb99dc382ac1646f4</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/RDW_Wildfire/RAVG_BasalAreaPercentChange/MapServer</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Rapid Assessment of Vegetation Condition after Wildfire (RAVG) Canopy Cover Percent Change</title><description>The USDA Forest Service Rapid Assessment of Vegetation Condition after Wildfire (RAVG) program produces geospatial data and maps of post-fire vegetation condition using standardized change detection methods based on Landsat or similar multispectral satellite imagery. RAVG data products characterize vegetation condition within a fire perimeter, and include estimates of percent change in basal area (BA), percent change in canopy cover (CC), and a standardized composite burn index (CBI). Standard thematic products include 7-class percent change in basal area (BA-7), 5-class percent change in canopy cover (CC-5), and 4-class CBI (CBI-4). Contingent upon the availability of suitable imagery, RAVG products are prepared for all wildland fires reported within the conterminous United States (CONUS) that include at least 1000 acres of forested National Forest System (NFS) land (500 acres for Regions 8 and 9 as of 2016). Data for individual fires are typically made available within 45 days after fire containment (&amp;quot;initial assessments&amp;quot;). Late-season fires, however, may be deferred until the following spring or summer (&amp;quot;extended assessments&amp;quot;). National mosaics of each thematic product are prepared annually. Mosaics of extended assessments, if any, are provided separately from initial assessment mosaics. This map service includes annual raster mosaics of published CC-5 datasets for fires that burned during calendar years 2013 through 2016, excluding 2016 extended assessments. The associated burned area perimeters are available via the Enterprise Data Warehouse (EDW, see https://data.fs.usda.gov/geodata/edw/datasets.php).</description><accessLevel>public</accessLevel><issued>2017-06-08</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/16891e35e8f340f68ef2198312d49b1a</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/16891e35e8f340f68ef2198312d49b1a/license.json</license><modified>2018-01-03</modified><spatial>-128.09,24.046,-72.191,50.847</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/16891e35e8f340f68ef2198312d49b1a</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/RDW_Wildfire/RAVG_CanopyCoverPercentChange/MapServer</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Rapid Assessment of Vegetation Condition after Wildfire (RAVG) Composite Burn Index</title><description>The USDA Forest Service Rapid Assessment of Vegetation Condition after Wildfire (RAVG) program produces geospatial data and maps of post-fire vegetation condition using standardized change detection methods based on Landsat or similar multispectral satellite imagery. RAVG data products characterize vegetation condition within a fire perimeter, and include estimates of percent change in basal area (BA), percent change in canopy cover (CC), and a standardized composite burn index (CBI). Standard thematic products include 7-class percent change in basal area (BA-7), 5-class percent change in canopy cover (CC-5), and 4-class CBI (CBI-4). Contingent upon the availability of suitable imagery, RAVG products are prepared for all wildland fires reported within the conterminous United States (CONUS) that include at least 1000 acres of forested National Forest System (NFS) land (500 acres for Regions 8 and 9 as of 2016). Data for individual fires are typically made available within 45 days after fire containment (&amp;quot;initial assessments&amp;quot;). Late-season fires, however, may be deferred until the following spring or summer (&amp;quot;extended assessments&amp;quot;). National mosaics of each thematic product are prepared annually. Mosaics of extended assessments, if any, are provided separately from initial assessment mosaics. This map service includes annual raster mosaics of published CBI-4 datasets for fires that burned during calendar years 2013 through 2016, excluding 2016 extended assessments. The associated burned area perimeters are available via the Enterprise Data Warehouse (EDW, see https://data.fs.usda.gov/geodata/edw/datasets.php).</description><accessLevel>public</accessLevel><issued>2017-06-08</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d9e1ea01c3b44689ab5c87bf3ef74a0c</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d9e1ea01c3b44689ab5c87bf3ef74a0c/license.json</license><modified>2018-01-03</modified><spatial>-128.09,23.403,-71.136,50.401</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/d9e1ea01c3b44689ab5c87bf3ef74a0c</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/RDW_Wildfire/RAVG_CompositeBurnIndex/MapServer</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Rapid Assessment of Vegetation Condition: Fire Perimeter Boundaries (Feature Layer)</title><description>The USDA Forest Service Rapid Assessment of Vegetation Condition after Wildfire (RAVG) program produces geospatial data and maps of post-fire vegetation condition using standardized change detection methods based on Landsat or similar multispectral satellite imagery. RAVG data products characterize vegetation condition within a fire perimeter, and include estimates of percent change in basal area (BA), percent change in canopy cover (CC), and a standardized composite burn index (CBI). Standard thematic products include 7-class percent change in basal area (BA-7), 5-class percent change in canopy cover (CC-5), and 4-class CBI (CBI-4). Contingent upon the availability of suitable imagery, RAVG products are prepared for all wildland fires reported within the conterminous United States (CONUS) that include at least 1000 acres of forested National Forest System (NFS) land (500 acres for Regions 8 and 9 as of 2016). Data for individual fires are typically made available within 45 days after fire containment (&amp;quot;initial assessments&amp;quot;). Late-season fires, however, may be deferred until the following spring or summer (&amp;quot;extended assessments&amp;quot;). National mosaics of each thematic product are prepared annually. This map service includes perimeters for fires that burned during calendar years 2013 through 2016, excluding 2016 extended assessments. The associated raster products (BA-7, CC-5 and CBI-4) are available via the Raster Data Warehouse (RDW, see https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_Wildfire).</description><accessLevel>public</accessLevel><issued>2017-05-18</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0b4c3de263c54f159e26485e8dea4677_4</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0b4c3de263c54f159e26485e8dea4677_4/license.json</license><modified>2017-08-24</modified><spatial>-124.1427,29.2741,-76.973,49.0121</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0b4c3de263c54f159e26485e8dea4677_4</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0b4c3de263c54f159e26485e8dea4677_4</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_RAVG_01/MapServer/4</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0b4c3de263c54f159e26485e8dea4677_4.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0b4c3de263c54f159e26485e8dea4677_4.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0b4c3de263c54f159e26485e8dea4677_4.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/0b4c3de263c54f159e26485e8dea4677_4.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Recreation Area Activities (Feature Layer)</title><description>This dataset contains the recreation opportunity information that the Forest Service collects through the Recreation Portal and shares with the public on https://www.recreation.gov, the Forest Service World Wide Web pages (https://www.fs.fed.us/) and the Interactive Visitor Map. This recreation data contains detailed descriptions of recreational sites, areas, activities &amp;amp; facilities. This published dataset consists of one point feature class for recreational areas, one spatial view and three related tables such as activities, facilities &amp;amp; rec area advisories. The purpose of each related table is described belowRECAREAACTIVITIES: This related table contains information about the activities that are associated with the rec area.RECAREAFACILITIES: This related table contains information about the amenities that are associated with the rec area.RECAREAADVISORIES: This table contains events, news, alerts and warnings that are associated with the rec area.RECAREAACTIVITIES_V: This spatial view/feature class is generated by joining the RECAREAACTIVITIES table to the RECREATION OPPORTUNITIES Feature Class. Please note that the RECAREAID is the unique identifier present in point feature class and in the related tables as well. The RECAREAID is used as foreign key to access relate records.This published data is updated nightly from an XML feed maintained by the CIO Rec Portal team. This data is intended for public use and distribution. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.RECAREAACTIVITIES_V.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-12</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bca3358e80384a2794a672ed48b0be8e_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bca3358e80384a2794a672ed48b0be8e_0/license.json</license><modified>2017-12-01</modified><spatial>-149.985,18.301,-65.7302,61.0822</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bca3358e80384a2794a672ed48b0be8e_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bca3358e80384a2794a672ed48b0be8e_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_RecreationAreaActivities_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bca3358e80384a2794a672ed48b0be8e_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bca3358e80384a2794a672ed48b0be8e_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bca3358e80384a2794a672ed48b0be8e_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/bca3358e80384a2794a672ed48b0be8e_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Recreation Information Database - RIDB</title><description>The RIDB is an API accessible database of US Gov't Recreation site data contributed by twelve participating agencies in the Recreation One Stop program. This data is used on Recreation.gov and is available to the public for various other uses.</description><accessLevel>public</accessLevel><issued>2017-04-14</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/008c79a4641b4ce3bd4feaecae07d804</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/008c79a4641b4ce3bd4feaecae07d804/license.json</license><modified>2017-08-24</modified><spatial>-149.58,22.221,-70.83,61.749</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/008c79a4641b4ce3bd4feaecae07d804</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://ridb.recreation.gov/</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Recreation Opportunities (Feature Layer)</title><description>This dataset contains the recreation opportunity information that the Forest Service collects through the Recreation Portal and shares with the public on https://www.recreation.gov, the Forest Service World Wide Web pages (https://www.fs.fed.us/) and the Interactive Visitor Map. This recreation data contains detailed descriptions of recreational sites, areas, activities &amp;amp; facilities. This published dataset consists of one point feature class for recreational areas, one spatial view and three related tables such as activities, facilities &amp;amp; rec area advisories. The purpose of each related table is described belowRECAREAACTIVITIES: This related table contains information about the activities that are associated with the rec area.RECAREAFACILITIES: This related table contains information about the amenities that are associated with the rec area.RECAREAADVISORIES: This table contains events, news, alerts and warnings that are associated with the rec area.RECAREAACTIVITIES_V: This spatial view/feature class is generated by joining the RECAREAACTIVITIES table to the RECREATION OPPORTUNITIES Feature Class. Please note that the RECAREAID is the unique identifier present in point feature class and in the related tables as well. The RECAREAID is used as foreign key to access relate records.This published data is updated nightly from an XML feed maintained by the CIO Rec Portal team. This data is intended for public use and distribution. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.RECREATIONOPPORTUNITIES.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-12</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3e16a3fae435443d9899b10d4ff26124_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3e16a3fae435443d9899b10d4ff26124_0/license.json</license><modified>2018-01-11</modified><spatial>-149.985,18.301,-65.7302,61.0822</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3e16a3fae435443d9899b10d4ff26124_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3e16a3fae435443d9899b10d4ff26124_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_RecreationOpportunities_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3e16a3fae435443d9899b10d4ff26124_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3e16a3fae435443d9899b10d4ff26124_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3e16a3fae435443d9899b10d4ff26124_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/3e16a3fae435443d9899b10d4ff26124_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Research Station Administrative Boundaries (Feature Layer)</title><description>These data are a polygon feature class that represents the administrative boundaries of the US Forest Service Research and Development Stations. These territories consist of a collection of states' geographic areas, within which all research and development facilities and lands are managed by a station headquarters.</description><accessLevel>public</accessLevel><issued>2017-12-04</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/cf424f5f1e154a768d599ef054c0373a_1</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/cf424f5f1e154a768d599ef054c0373a_1/license.json</license><modified>2017-12-04</modified><spatial>-179.2311,17.9252,-65.5896,71.4411</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/cf424f5f1e154a768d599ef054c0373a_1</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL 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Station Facilities (Feature Layer)</title><description>These data are a point feature class that provides the location of Research and Development's offices across the United States.&lt;div&gt;&lt;br /&gt;&lt;/div&gt;</description><accessLevel>public</accessLevel><issued>2017-12-04</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e8c607c20bbb4c4a91f597cbb908cc3b_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e8c607c20bbb4c4a91f597cbb908cc3b_0/license.json</license><modified>2018-01-04</modified><spatial>-155.0955,18.3252,-65.7299,64.8576</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e8c607c20bbb4c4a91f597cbb908cc3b_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e8c607c20bbb4c4a91f597cbb908cc3b_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_ResearchStations_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e8c607c20bbb4c4a91f597cbb908cc3b_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e8c607c20bbb4c4a91f597cbb908cc3b_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e8c607c20bbb4c4a91f597cbb908cc3b_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/e8c607c20bbb4c4a91f597cbb908cc3b_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Right of Way (Feature Layer)</title><description>An area depicting a privilege to pass over the land of another in some particular path; usually an easement over the land of another; a strip of land used in this way for railroad and highway purposes, for pipelines or pole lines and for private and public passage. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.RightOfWay.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-12</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/114017155733436192fcdb7a6402a353_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/114017155733436192fcdb7a6402a353_0/license.json</license><modified>2017-12-01</modified><spatial>-150.0031,29.013,-70.6276,61.1279</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/114017155733436192fcdb7a6402a353_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/114017155733436192fcdb7a6402a353_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_RightofWay_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/114017155733436192fcdb7a6402a353_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/114017155733436192fcdb7a6402a353_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/114017155733436192fcdb7a6402a353_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/114017155733436192fcdb7a6402a353_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Roadless Areas: 2001 Roadless Rule (Feature Layer)</title><description>This dataset is the official data for the 2001 Roadless Area Conservation Rule (36 CFR 294, Subpart B). It contains the Inventoried Roadless Areas (IRA) that were used in the Final Environmental Impact Statement for the 2001 Roadless Area Conservation Rule. The IRA data was originally submitted to the Geospatial Service and Technology Center (GSTC - Located in Salt Lake City Utah) by all national forests through their Regional Offices for the Forest Service?s Roadless Area Conservation Initiative. The data was consolidated at the GSTC and used in the Draft Environment Impact Statement. Between the draft and final stages of the Environmental Impact Statement, the data was updated by the forests to reflect any corrections to Inventoried Roadless Areas that were based on existing forest plans and administrative record. The data was also supplemented to include Special Designated Area information and to include Inventoried Roadless Areas within Special Designated Areas. The data was resubmitted to the GSTC on July 21, 2000 for consolidation and the completed coverage was used in the Roadless Area Conservation Final Environmental Impact Statement. IRAs are based on completed forest plans, forest plans in revision where the agency has established an inventory (this information should be available in Appendix C of most forest plans), or other assessments that are completed and adopted by the agency. RARE II (Roadless Area Review and Evaluation of 1977 and 1978) information was used in cases where a forest does not have a more current roadless inventory, which was established using RARE II information. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.RoadlessArea_2001.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-11</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a1378467bdc44ea8a21161b031a5c264_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a1378467bdc44ea8a21161b031a5c264_0/license.json</license><modified>2017-12-27</modified><spatial>-150.0077,18.2457,-65.7072,61.519</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a1378467bdc44ea8a21161b031a5c264_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a1378467bdc44ea8a21161b031a5c264_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_InventoriedRoadlessAreas2001_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a1378467bdc44ea8a21161b031a5c264_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a1378467bdc44ea8a21161b031a5c264_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a1378467bdc44ea8a21161b031a5c264_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/a1378467bdc44ea8a21161b031a5c264_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Roadless Areas: 2001, Idaho, and Colorado Rules Combined (Feature Layer)</title><description>The RoadlessArea_2001_ID_CO feature class describes the boundaries of all Roadless Areas managed by the US Forest Service. These roadless areas were designated administrative rulemaking to provide management direction for their conservation and managment. The Roadless Area Conservation Rule of 2001 designated roadless areas nationwide. Subsequent rules, the Idaho Roadless Rule of 2008,and the Colorado Roadless Rule of 2012 replaced that direction and designation in the states of Idaho and Colorado. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.RoadlessArea_2001_ID_CO.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-11</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7a5db32bee18452f8ae837574151d280_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7a5db32bee18452f8ae837574151d280_0/license.json</license><modified>2017-12-01</modified><spatial>-150.0077,18.2457,-65.7072,61.519</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7a5db32bee18452f8ae837574151d280_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7a5db32bee18452f8ae837574151d280_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_InventoriedRoadlessAreas2001IdCo_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7a5db32bee18452f8ae837574151d280_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7a5db32bee18452f8ae837574151d280_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7a5db32bee18452f8ae837574151d280_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/7a5db32bee18452f8ae837574151d280_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Roadless Areas: Colorado Roadless Rule (Feature Layer)</title><description>This feature class describes the boundaries of Roadless Areas designatedby the Colorado Roadless Rule of 2012 and managed by the US Forest Service. These roadlessareas were designated by administrative rule making to provide management direction for theirconservation and management. These roadless area designations supercede the roadless areasdesignated by the Roadless Area Conservation Rule of 2001 for Colorado.DescriptionThe RoadlessArea_CO_2012 feature class describes the boundaries of Roadless Areas designatedby the Colorado Roadless Rule of 2012 and managed by the US Forest Service. These roadlessareas were designated by administrative rule making to provide management direction for theirconservation and management. These roadless area designations supercede the roadless areasdesignated by the Roadless Area Conservation Rule of 2001 for Colorado.Go to this URL for full metadata description: &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.RoadlessArea_CO_2012.xml"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-10</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/47892491859b40fa9f89d8365dc6ce3e_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/47892491859b40fa9f89d8365dc6ce3e_0/license.json</license><modified>2017-12-12</modified><spatial>-109.0603,37.0279,-104.8674,41.0034</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/47892491859b40fa9f89d8365dc6ce3e_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/47892491859b40fa9f89d8365dc6ce3e_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_ColoradoRoadlessAreas2012_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/47892491859b40fa9f89d8365dc6ce3e_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/47892491859b40fa9f89d8365dc6ce3e_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/47892491859b40fa9f89d8365dc6ce3e_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/47892491859b40fa9f89d8365dc6ce3e_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_ColoradoRoadlessAreas2012_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_ColoradoRoadlessAreas2012_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Roadless Areas: Idaho Roadless Rule (Feature Layer)</title><description>The RoadlessArea_2001_ID_2008 feature class describes the boundaries of all Roadless Areas managed by the US Forest Service in Idaho. These roadless areas were designated administrative rulemaking to provide management direction for their conservation and managment. The Roadless Area Conservation Rule of 2008 designated roadless areas nationwide. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.RoadlessArea_ID_2008.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-11</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/9d9e18bf21924ee8b62ce0943e292fb7_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/9d9e18bf21924ee8b62ce0943e292fb7_0/license.json</license><modified>2017-12-01</modified><spatial>-117.0341,41.994,-111.043,48.9996</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/9d9e18bf21924ee8b62ce0943e292fb7_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/9d9e18bf21924ee8b62ce0943e292fb7_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_InventoriedRoadlessAreas2008Id_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/9d9e18bf21924ee8b62ce0943e292fb7_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/9d9e18bf21924ee8b62ce0943e292fb7_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/9d9e18bf21924ee8b62ce0943e292fb7_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/9d9e18bf21924ee8b62ce0943e292fb7_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>RxCADRE 2012: In-situ fire behavior measurements</title><description>This data publication contains fire behavior package (FBP) data; primarily flame temperature, horizontal and vertical mass flow, fire intensity, as well as ocular rates of spread (ROS), wind speed and direction data from the Prescribed Fire Combustion and Atmospheric Dynamics Research Experiment (RxCADRE) project conducted in November, 2012. These experiments were conducted on 7 small replicate and 3 large operational prescribed burn blocks in longleaf pine ecosystems on Eglin Air Force Base in Okaloosa County, Florida. Data were collected using three separate sensor systems. The first included sensor/datalogger measurements of convective/radiant energy, temperature and mass flow released by the fire. The second was a digital video camera housed in a fire proof enclosure that recorded visual images of the fire behavior. The third was an array of broadly distributed HOBO micro station anemometers. Both FBP sensor packages and camera system were located nominally 0.5 meters above ground level. The anemometers were 3.05 meters above ground level. The raw data have been processed using calibration data and converted into engineering units. The data provides 10 Hz fire flux measurements (kW/m²), temperature (C), and mass flow (m/sec) in the vertical and horizontal direction per FBP. The anemometer data provide 1 second wind speed and direction as well as 3 second average wind spread, direction and maximum gust.</description><accessLevel>public</accessLevel><issued>2017-11-24</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/68a04040ff164bd4a6f13980001caf7c</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/68a04040ff164bd4a6f13980001caf7c/license.json</license><modified>2017-11-27</modified><spatial>-180.0,-90.0,180.0,90.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/68a04040ff164bd4a6f13980001caf7c</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://doi.org/10.2737/RDS-2016-0038</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Silviculture Reforestation (Feature Layer)</title><description>This layer portrays the area where activities accomplished as a part of the silviculture program of work, funded through the budget allocation process and reported through the Forest Service Activity Tracking System (FACTS) database and are part of the Performance Measures used to rate Agency performance in meeting the Department<6E>s Strategic Goals. It is important to note that this layer may not contain all accomplished activities; the spatial portion of the activity description is not currently enforced by FACTS and at this time some are optionally reported by Forest Service units. This layer only represents those activities associated with the performance measure Forest Vegetation Improved (Release, Weeding, and Cleaning, Precommercial Thinning, Pruning and Fertilization). As spatial data reporting is enforced by the application and acceptance of reporting increases for both tabular and spatial we hope to improve the quality and comprehensiveness of the data used for this layer in coming years.<2E>&lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_SilvReforestation.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-05-04</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/03f7e8305acf4c26873ea5893e286c80_8</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/03f7e8305acf4c26873ea5893e286c80_8/license.json</license><modified>2017-08-24</modified><spatial>-149.9102,28.9676,-70.7832,60.927</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/03f7e8305acf4c26873ea5893e286c80_8</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/03f7e8305acf4c26873ea5893e286c80_8</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_SilvicultureReforestation_01/MapServer/8</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/03f7e8305acf4c26873ea5893e286c80_8.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/03f7e8305acf4c26873ea5893e286c80_8.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/03f7e8305acf4c26873ea5893e286c80_8.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/03f7e8305acf4c26873ea5893e286c80_8.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_SilvicultureReforestation_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Silviculture Timber Stand Improvement (Feature Layer)</title><description>This layer portrays the area where activities accomplished as a part of the silviculture program of work, funded through the budget allocation process and reported through the Forest Service Activity Tracking System (FACTS) database and are part of the Performance Measures used to rate Agency performance in meeting the Department<6E>s Strategic Goals. It is important to note that this layer may not contain all accomplished activities; the spatial portion of the activity description is not currently enforced by FACTS and at this time some are optionally reported by Forest Service units. This layer only represents those activities associated with the performance measure Forest Vegetation Improved (Release, Weeding, and Cleaning, Precommercial Thinning, Pruning and Fertilization). As spatial data reporting is enforced by the application and acceptance of reporting increases for both tabular and spatial we hope to improve the quality and comprehensiveness of the data used for this layer in coming years.<2E>&lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_SilvTSI.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-05-04</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5a80aafd5e874c908436bff483ede8f5_8</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5a80aafd5e874c908436bff483ede8f5_8/license.json</license><modified>2017-12-01</modified><spatial>-149.58,22.221,-70.83,61.749</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5a80aafd5e874c908436bff483ede8f5_8</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5a80aafd5e874c908436bff483ede8f5_8</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_SilvicultureTimberstandImprovement_01/MapServer/8</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5a80aafd5e874c908436bff483ede8f5_8.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5a80aafd5e874c908436bff483ede8f5_8.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5a80aafd5e874c908436bff483ede8f5_8.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/5a80aafd5e874c908436bff483ede8f5_8.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_SilvicultureTimberstandImprovement_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Spatial dataset of probabilistic wildfire risk components for the conterminous United States</title><description>National burn probability (BP) and conditional fire intensity level (FIL) data were generated for the conterminous United States (US) using a geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. [2011]). The FSim system includes modules for weather generation, wildfire occurrence, fire growth, and fire suppression. FSim is designed to simulate the occurrence and growth of wildfires under tens of thousands of hypothetical contemporary fire seasons in order to estimate the probability of a given area (i.e., pixel) burning under current landscape conditions and fire management practices. The data presented here represent modeled BP and FIL for the conterminous US at a 270-meter grid spatial resolution. The six FILs correspond to flame-length classes as follows: FIL1 = &amp;lt; 2 feet (ft); FIL2 = 2 &amp;lt; 4 ft.; FIL3 = 4 &amp;lt; 6 ft.; FIL4 = 6 &amp;lt; 8 ft.; FIL5 = 8 &amp;lt; 12 ft.; FIL6 = 12+ ft. Because they indicate conditional probabilities (i.e., representing the likelihood of burning at a certain intensity level, given that a fire occurs), the FIL*_20160830 data must be used in conjunction with the BP_20160830 data for risk assessment.</description><accessLevel>public</accessLevel><issued>2017-11-24</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/dc4aae9f93064f9496f8731ace6b4583</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/dc4aae9f93064f9496f8731ace6b4583/license.json</license><modified>2017-12-01</modified><spatial>-180.0,-90.0,180.0,90.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/dc4aae9f93064f9496f8731ace6b4583</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://doi.org/10.2737/RDS-2016-0034</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Special Interest Management Areas (Feature Layer)</title><description>A depiction of National Forest System land parcels that have management or use limits placed on them by the Forest Service. Examples include: Archaeological Area, Research Natural Area, and Scenic Area. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.SpecialInterestManagementArea.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-12</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b281c2dabf804f9691ddb498843c1a8d_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b281c2dabf804f9691ddb498843c1a8d_0/license.json</license><modified>2017-12-29</modified><spatial>-150.0031,18.2762,-65.7446,61.519</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b281c2dabf804f9691ddb498843c1a8d_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b281c2dabf804f9691ddb498843c1a8d_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_SpecialInterestManagementArea_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b281c2dabf804f9691ddb498843c1a8d_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b281c2dabf804f9691ddb498843c1a8d_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b281c2dabf804f9691ddb498843c1a8d_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/b281c2dabf804f9691ddb498843c1a8d_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Special Status Areas (Feature Layer)</title><description>A land area that has distinct management/use authorities or agreements for Forest Service action. Includes: Cost Share Agreement Areas, Exchange Authority Areas, Land Adjustment Plan Areas, Forest Reserves, and Secretary's Order Areas. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.SpecialStatusArea.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-12</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/45bb7e5a60614cc195e1e6d4f937e45f_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/45bb7e5a60614cc195e1e6d4f937e45f_0/license.json</license><modified>2018-01-05</modified><spatial>-150.0077,18.2312,-65.6997,61.519</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/45bb7e5a60614cc195e1e6d4f937e45f_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/45bb7e5a60614cc195e1e6d4f937e45f_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_SpecialStatusArea_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/45bb7e5a60614cc195e1e6d4f937e45f_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/45bb7e5a60614cc195e1e6d4f937e45f_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/45bb7e5a60614cc195e1e6d4f937e45f_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/45bb7e5a60614cc195e1e6d4f937e45f_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Stewardship Contracting: Line (Feature Layer)</title><description>Depicts the linear activities within Stewardship Contracting Project Boundary. Activities are implemented through stewardship contracts or agreements and are self-reported by Forest Service Units through the FACTS database.<2E>&lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_StwrdshpCntrctng_LN.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-05-04</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/69ccb5a8672b4cf49a3ffedbdf525960_2</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/69ccb5a8672b4cf49a3ffedbdf525960_2/license.json</license><modified>2017-12-01</modified><spatial>-122.042,34.43,-85.261,47.687</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/69ccb5a8672b4cf49a3ffedbdf525960_2</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/69ccb5a8672b4cf49a3ffedbdf525960_2</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_StewardshipContracting_01/MapServer/2</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/69ccb5a8672b4cf49a3ffedbdf525960_2.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/69ccb5a8672b4cf49a3ffedbdf525960_2.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/69ccb5a8672b4cf49a3ffedbdf525960_2.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/69ccb5a8672b4cf49a3ffedbdf525960_2.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Stewardship Contracting: Point (Feature Layer)</title><description>Depicts the locations of activities within Stewardship Contracting Project Boundary. Activities are implemented through stewardship contracts or agreements and are self-reported by Forest Service Units through the FACTS database. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_StwrdshpCntrctng_PT.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-05-04</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f0e260293c644f35aee7206c2533a003_1</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f0e260293c644f35aee7206c2533a003_1/license.json</license><modified>2017-08-24</modified><spatial>-114.426,30.931,-88.841,48.64</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f0e260293c644f35aee7206c2533a003_1</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f0e260293c644f35aee7206c2533a003_1</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_StewardshipContracting_01/MapServer/1</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f0e260293c644f35aee7206c2533a003_1.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f0e260293c644f35aee7206c2533a003_1.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f0e260293c644f35aee7206c2533a003_1.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/f0e260293c644f35aee7206c2533a003_1.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Stewardship Contracting: Polygon (Feature Layer)</title><description>Depicts the area of activities within Stewardship Contracting Project Boundary. Activities are implemented through stewardship contracts or agreements and are self-reported by Forest Service Units through the FACTS database.<2E>&lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_StwrdshpCntrctng_PL.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-05-04</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2514ed4fd94544c5b3ac1e11f52059f1_3</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2514ed4fd94544c5b3ac1e11f52059f1_3/license.json</license><modified>2017-12-01</modified><spatial>-135.214,28.989,-71.003,58.05</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2514ed4fd94544c5b3ac1e11f52059f1_3</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2514ed4fd94544c5b3ac1e11f52059f1_3</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_StewardshipContracting_01/MapServer/3</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2514ed4fd94544c5b3ac1e11f52059f1_3.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2514ed4fd94544c5b3ac1e11f52059f1_3.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2514ed4fd94544c5b3ac1e11f52059f1_3.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/2514ed4fd94544c5b3ac1e11f52059f1_3.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Supporting data for &amp;quot;Morphologic plasticity and increasing competition explain deviation from the Metabolic Scaling Theory in semi-arid conifer forests, southwestern USA&amp;quot;</title><description>This data publication includes tree measurements taken 2008-2010 in three mixed conifer forests: the Pinaleño Mountains and Santa Catalina Mountains in southeastern Arizona, and the Jemez Mountains (Valles Caldera National Preserve) in northern New Mexico. Tree data measured at all locations include: species, condition, diameter at breast height and maximum vertical height. Additional data available include: effective energy and mass transfer (EEMT) and specific gravity (wood density) of woody species. Another data set, for the Pinaleño Mountains, is included in this publication. The data were collected as part of the RMRS Growth and Demography of the Pinaleño High Elevation Forests research project and the Critical Zone Observatory aerial lidar forest structure validation. The data include diameter at breast height, maximum vertical height, condition and species information; and laboratory-determined cross-dated tree establishment dates, age at collection, computed total biomass, and plot-level Effective Energy and Mass Transfer (EEMT) for each tree. Both of these data sets support Swetnam et al. 2016.</description><accessLevel>public</accessLevel><issued>2017-11-17</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/dc3fd9bd525e4b6d99ff7e7588ccc152</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/dc3fd9bd525e4b6d99ff7e7588ccc152/license.json</license><modified>2017-12-01</modified><spatial>-180.0,-90.0,180.0,90.0</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/dc3fd9bd525e4b6d99ff7e7588ccc152</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><distribution><accessURL>https://doi.org/10.2737/RDS-2016-0015</accessURL><format>Web Page</format><mediaType>text/html</mediaType><type>dcat:Distribution</type></distribution></dataset><dataset><title>Surface Drinking Water Importance (Feature Layer)</title><description>This dataset provides a watershed index of surface drinking water importance, a watershed index of forest importance to surface drinking water, and a watershed index to highlight the extent to which development, fire, and insects and disease threaten forests important for surface drinking water. This tabular dataset is meant to be joined with the NRCS Watershed Boundary Dataset HUC-12.<2E>&lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.ForestsToFaucets.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-05-04</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ae3f556d3b3a4380a949779339020d27_2</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ae3f556d3b3a4380a949779339020d27_2/license.json</license><modified>2018-01-11</modified><spatial>-173.217,17.674,-64.565,71.422</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ae3f556d3b3a4380a949779339020d27_2</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ae3f556d3b3a4380a949779339020d27_2</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_ForestsToFaucets_01/MapServer/2</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ae3f556d3b3a4380a949779339020d27_2.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ae3f556d3b3a4380a949779339020d27_2.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ae3f556d3b3a4380a949779339020d27_2.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/ae3f556d3b3a4380a949779339020d27_2.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Surface Drinking Water Importance - Forests on the Edge (Feature Layer)</title><description>America's private forests provide a vast array of public goods and services, including abundant, clean surface water. Forest loss and development can affect water quality and quantity when forests are removed and impervious surfaces, such as paved roads, spread across the landscape. We rank watersheds across the conterminous United States according to the contributions of private forest land to surface drinking water and by threats to surface water from increased housing density. Private forest land contributions to drinking water are greatest in the East but are also important in Western watersheds. Development pressures on these contributions are concentrated in the Eastern United States but are also found in the North-Central region, parts of the West and Southwest, and the Pacific Northwest; nationwide, more than 55 million acres of rural private forest land are projected to experience a substantial increase in housing density from 2000 to 2030. Planners, communities, and private landowners can use a range of strategies to maintain freshwater ecosystems, including designing housing and roads to minimize impacts on water quality, managing home sites to protect water resources, and using payment schemes and management partnerships to invest in forest stewardship on public and private lands.This data is based on the digital hydrologic unit boundary layer to the Subwatershed (12-digit) 6th level for the continental United States. To focus this analysis on watersheds with private forests, only watersheds with at least 10% forested land and more than 50 acres of private forest were analyzed. All other watersheds were labeled ?Insufficient private forest for this analysis&amp;quot;and coded -99999 in the data table. This dataset updates forest and development statistics reported in the the 2011 Forests to Faucet analysis using 2006 National Land Cover Database for the Conterminous United States, Grid Values=41,42,43,95. and Theobald, Dr. David M. 10 March 2008. bhc2000 and bhc2030 (Housing density for the coterminous US in 2000 and 2030, respectively.) Field Descriptions:HUC_12: Twelve Digit Hydrologic Unit Code: This field provides a unique 12-digit code for each subwatershed.HU_12_DS: Sixth Level Downstream Hydrologic Unit Code: This field was populated with the 12-digit code of the 6th level hydrologic unit that is receiving the majority of the flow from the subwatershed.IMP1: Index of surface drinking water importance (Appendix Map). This field is from the 2011 Forests to Faucet analysis and has not been updated for this analysis.HDCHG_AC: Acres of housing density change on private forest in the subwatershed. HDCHG_PER: Percent of the watershed to experience housing density change on private forest. IMP_HD_PFOR: Index Private Forest importance to Surface Drinking Water with Development Pressure - identifies private forested areas important for surface drinking water that are likely to be affected by future increases in housing density, Ptle_IMP_HD: Private Forest importance to Surface Drinking Water with Development Pressure (Figure 7), percentile. Ptle_HDCHG: Percentage of each subwatershed to Experience an increase in House Density in Private Forest (Figure 6), percentile. FOR_AC: Acres forest (2006) in the subwatershed. PFOR_AC: Acres private forest (2006) in the subwatershed. PFOR_PER: Percent of the subwatershed that is private forest. HU12_AC: Acreage of the subwatershedFOR_PER: Percent of the subwatershed that is forest. PFOR_IMP: Index of Private Forest Importance to Surface Drinking Water. .Ptle_PFIMP: Private forest importance to surface drinking water(Figure 4), percentile. TOP100: Top 100 subwatersheds. 50 from the East, 50 from the west (using the Mississippi River as the divide. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.FORESTSONTHEEDGE.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-11</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/abfaa910d9194efc908e78a8f1e5a175_1</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/abfaa910d9194efc908e78a8f1e5a175_1/license.json</license><modified>2018-01-12</modified><spatial>-124.86,24.5122,-66.183,49.3845</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/abfaa910d9194efc908e78a8f1e5a175_1</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/abfaa910d9194efc908e78a8f1e5a175_1</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_ForestsOnTheEdge_01/MapServer/1</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/abfaa910d9194efc908e78a8f1e5a175_1.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/abfaa910d9194efc908e78a8f1e5a175_1.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/abfaa910d9194efc908e78a8f1e5a175_1.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/abfaa910d9194efc908e78a8f1e5a175_1.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_ForestsOnTheEdge_01/MapServer/WMSServer?request=GetCapabilities&amp;service=WMS</accessURL><format>OGC WMS</format><mediaType>application/vnd.ogc.wms_xml</mediaType><title>OGC WMS</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/services/EDW/EDW_ForestsOnTheEdge_01/MapServer/WFSServer?request=GetCapabilities&amp;service=WFS</accessURL><format>OGC WFS</format><mediaType>application/vnd.ogc.wfs_xml</mediaType><title>OGC WFS</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Survey Boundaries maintained by the US Forest Service (Feature Layer)</title><description>The purpose of this featureclass is to allow national forest system boundary managers to query and report on the status of these boundaries for planning boundary management and maintenance work, and to provide this information to anyone else needing this information for analysis, querying, reporting, mapping. The lines should indicate the current status of the physical marked and posted lines in the field, and their maintenance status. Surface Management Agency (SMA) lines represent the surveyed boundary lines for which the Forest Service is responsible for marking and posting. These include the boundaries between NFS lands and non-NFS lands and the boundaries of congressionally designated areas such as National Wilderness. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.SMABoundary.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-12</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/13c89d23b9f7458091b3185f46fe5b5a_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/13c89d23b9f7458091b3185f46fe5b5a_0/license.json</license><modified>2017-12-01</modified><spatial>-145.327,17.994,-69.39,58.822</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/13c89d23b9f7458091b3185f46fe5b5a_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/13c89d23b9f7458091b3185f46fe5b5a_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_SMABoundary_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/13c89d23b9f7458091b3185f46fe5b5a_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/13c89d23b9f7458091b3185f46fe5b5a_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/13c89d23b9f7458091b3185f46fe5b5a_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/13c89d23b9f7458091b3185f46fe5b5a_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Survey parcels described by metes and bounds (Feature Layer)</title><description>A depiction of a survey parcel described by a metes and bounds description. Examples include: land lots, housing subdivision lots, mineral surveys, and homestead entry surveys. &lt;a href="https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Tract.xml" target="_blank"&gt;Metadata&lt;/a&gt;</description><accessLevel>public</accessLevel><issued>2017-04-12</issued><landingPage>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/1b939adcdb184d96bf138f4964e4b054_0</landingPage><license>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/1b939adcdb184d96bf138f4964e4b054_0/license.json</license><modified>2017-12-01</modified><spatial>-149.58,22.221,-70.83,61.749</spatial><identifier>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/1b939adcdb184d96bf138f4964e4b054_0</identifier><publisher><name>U.S. Forest Service</name><type/></publisher><contactPoint><emailAddress>ebaiello@fs.fed.us</emailAddress><fn>USFS AGOL Admin</fn><type>vcard:Contact</type></contactPoint><bureauCode>005:96</bureauCode><programCode>005:059</programCode><categories>geospatial</categories><distribution><accessURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/1b939adcdb184d96bf138f4964e4b054_0</accessURL><format>Web page</format><mediaType>text/html</mediaType><title>ArcGIS Open Dataset</title><type>dcat:Distribution</type></distribution><distribution><accessURL>https://apps.fs.usda.gov/arcx/rest/services/EDW/EDW_Tract_01/MapServer/0</accessURL><format>Esri REST</format><mediaType>application/json</mediaType><title>Esri Rest API</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/1b939adcdb184d96bf138f4964e4b054_0.geojson</downloadURL><format>GeoJSON</format><mediaType>application/vnd.geo+json</mediaType><title>GeoJSON</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/1b939adcdb184d96bf138f4964e4b054_0.csv</downloadURL><format>CSV</format><mediaType>text/csv</mediaType><title>CSV</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/1b939adcdb184d96bf138f4964e4b054_0.kml</downloadURL><format>KML</format><mediaType>application/vnd.google-earth.kml+xml</mediaType><title>KML</title><type>dcat:Distribution</type></distribution><distribution><downloadURL>http://enterprisecontent-usfs.opendata.arcgis.com/datasets/1b939adcdb184d96bf138f4964e4b054_0.zip</downloadURL><format>ZIP</format><mediaType>application/zip</mediaType><title>Shapefile</title><type>dcat:Distribution</type></distribution></dataset><dataset><title>Timber Harvests (Feature Layer)</title><description>Depicts the area planned and accomplished acres treated as a part of the timber harvest program of work, funded through the budget allocation process and reported through the FACTS database. 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The feature class also includes data on high priority watersheds identified in the Watershed Condition Framework (WCF) process. The WCF data identifies priority watersheds, rationale for their designation as such, and information on Watershed Restoration Action Plans. 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