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* Minor edits * Fix `intl:compile-en` and the `intl:extract`
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21 changed files with 3109 additions and 966 deletions
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@ -152,12 +152,12 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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</h3>
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<div>
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Percent of agriculture value at risk from losses due to fourteen types of
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Percent of agricultural value at risk from losses due to fourteen types of
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natural hazards that have some link
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to climate change: avalanche, coastal flooding,
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cold wave, drought, hail, heat wave, hurricane, ice storm, landslide, riverine flooding, strong
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wind, tornado, wildfire, and winter weather. Rate calculated by dividing the agriculture value at risk in
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a census tract by the total agriculture value in that census tract.
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wind, tornado, wildfire, and winter weather. Rate calculated by dividing the agricultural value at risk in
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a census tract by the total agricultural value in that census tract.
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</div>
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<ul>
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@ -260,7 +260,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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that have some link to climate change: avalanche,
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coastal flooding, cold wave, drought, hail, heat wave, hurricane, ice storm, landslide,
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riverine flooding, strong wind, tornado, wildfire, and winter weather. Population loss is defined
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as the Spatial Hazard Events and Losses or National Centers for Environmental Information’s
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as the Spatial Hazard Events and Losses and National Centers for Environmental Information’s
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(NCEI) reported number of fatalities and injuries caused by the hazard occurrence. To
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combine fatalities and injuries for the computation of population loss value, an injury is counted
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as one-tenth (1/10) of a fatality. The NCEI Storm Events Database classifies injuries and fatalities
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@ -389,7 +389,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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>
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Fusion of model and monitor data
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</a>
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from 2017 as compiled by EPA’s EJSCREEN, sourced from EPA National Air Toxics Assessment (NATA) and the U.S. Department of Transportation (DOT) traffic data
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from 2017 as compiled by EPA’s EJScreen, sourced from EPA National Air Toxics Assessment (NATA) and the U.S. Department of Transportation (DOT) traffic data
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</li>
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<li>
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@ -438,7 +438,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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>
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National Air Toxics Assessment (NATA)
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</a>
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from 2014 as compiled by EPA's EJSCREEN
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from 2014 as compiled by EPA's EJScreen
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</li>
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<li>
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<span>
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@ -486,7 +486,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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>
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Traffic Data
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</a>
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from 2017 as compiled by EPA's EJSCREEN
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from 2017 as compiled by EPA's EJScreen
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</li>
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<li>
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<span>
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@ -681,7 +681,7 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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Treatment, Storage, and Disposal Facilities (TSDF) data
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</a>
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from 2020 calculated from EPA's RCRA database as compiled
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by EPA's EJSCREEN
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by EPA's EJScreen
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</li>
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<li>
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@ -724,13 +724,13 @@ exports[`rendering of the DatasetContainer checks if various text fields are vis
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<a
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class="usa-link usa-link--external"
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data-cy=""
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href="https://enviro.epa.gov/facts/rcrainfo/search.html"
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href="https://cumulis.epa.gov/supercpad/cursites/srchsites.cfm"
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rel="noreferrer"
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target="_blank"
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>
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CERCLIS database
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</a>
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from 2020 as compiled by EPA’s EJSCREEN
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from 2020 as compiled by EPA’s EJScreen
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</li>
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<li>
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<span>
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>
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RMP database
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</a>
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from 2020 as compiled by EPA’s EJSCREEN
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from 2020 as compiled by EPA’s EJScreen
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</li>
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<li>
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<span>
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<span>
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Used in:
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</span>
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Critical clean water and waste infrastructure category
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Critical clean water and wastewater infrastructure category
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</li>
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<li>
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<span>
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>
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Risk-Screening Environmental Indicators (RSEI) Model
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</a>
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from 2020 as compiled by EPA’s EJSCREEN
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from 2020 as compiled by EPA’s EJScreen
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</li>
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<li>
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<span>
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rel="noreferrer"
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target="_blank"
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>
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U.S. Small-area Life Expectancy Estimates Project (USALEEP)
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U.S. Small-Area Life Expectancy Estimates Project (USALEEP)
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</a>
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from 2010-2015
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</li>
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