AndreaBozzo/ceres-open-data-index huggingface dataset:
Modeled change in the average Feddema Moisture Index (multiplied by 1000) between 1931-1940 and the 1971-2000 Normal period.

Originators: US Environmental Protection Agency Publisher: US EPA Office of Research &amp; Development (ORD) - National Health and Environmental Effects Research Laboratory (NHEERL) Publication place: Corvallis, OR Publication date: Time Period of Data: 1900-2010; Projected data for 2041-2070. Data location: GeoPlatform ("https://www.geoplatform.gov/") and EPA Environmental Dataset Gateway (https://edg.epa.gov/). Abstract: We apply the hydrologic landscapes (HL) concept to assess the hydrologic vulnerability of the western United States (U.S.) to projected climate conditions. Our goal is to understand the potential impacts for stakeholder-defined interests across large geographic areas. The basic assumption of the HL approach is that catchments that share similar physical and climatic characteristics are expected to have similar hydrologic characteristics. We map climate vulnerability by integrating the HL approach into a retrospective analysis of historical data to assess variability in future climate projections and hydrology, which includes temperature, precipitation, potential evapotranspiration, snow accumulation, climatic moisture, surplus water, and seasonality of water surplus. Projections that are not within two-standard deviations of the historical decadal average contribute to the vulnerability index for each metric. The resulting vulnerability maps show that temperature and potential evapotranspiration are consistently projected to have high vulnerability indices for the western U.S. Precipitation vulnerability is not as spatially-uniform as temperature. The highest elevation areas with snow are projected to experience significant changes in snow accumulation. The seasonality vulnerability map shows that specific mountainous areas in the West are most prone to changes in seasonality, whereas many transitional terrains are moderately susceptible. This paper illustrates how the HL approach can help assess climatic and hydrologic vulnerability across large spatial scales. By combining the HL concept and climate vulnerability analyses, we provide a planning approach that could allow resource managers to consider how future climate conditions may impact important economic and conservation resources. Purpose: These data were created in support of the US EPA’s ACE CIVA 2.3, Task Project (QAPP: E-WED-0030854). However, these climate data and hydrologic landscape summaries should have broad applicability for hydrological, geomorphic, or ecological modeling, management, and restoration. This raster contains the modeled change in the average Feddema Moisture Index between the timeperiod specified in the title relative to the 1971-2000 Normal period.

Tags: 020:094, arizona, california, climate, downloadable data, environment, ground water, idaho, natural resources, nevada, oregon, washington, water
Organization: U.S. Environmental Protection Agency
Sites Pre-Screened for Geothermal Energy Potential

The RE-Powering Screening Dataset spreadsheet contains detailed information on over 130,000 contaminated lands, landfills, and mine sites with screening results for renewable energy potential. Please review the Data Documentation for Mapping and Screening for more details regarding the information contained in this file. The RE-Powering Mapper and associated documents are provided solely as general information on screening potential. It does not address all information, factors, or considerations that may be relevant in a particular situation. Results do not reflect an endorsement or recommendation for development potential by EPA. References to third-party publications, websites, commercial products, process, or services by trade name, trademark, manufacturer, or otherwise, are for informational purposes only. No endorsement or recommendation should be inferred and is not implied. EPA, NREL and the United States Government do not endorse any non-federal product, services or enterprise.

Tags: 020:006, 020:088, 020:109, cleanup, climate, contaminant, downloadable data, energy, environment, remediation, sites, toxics, united states, waste
Organization: U.S. Environmental Protection Agency
Modeled change in the average Feddema Moisture Index (multiplied by 1000) between 1931-1960 and the 1971-2000 Normal period.

Originators: US Environmental Protection Agency Publisher: US EPA Office of Research & Development (ORD) - National Health and Environmental Effects Research Laboratory (NHEERL) Publication place: Corvallis, OR Publication date: Time Period of Data: 1900-2010; Projected data for 2041-2070. Data location: GeoPlatform ("https://www.geoplatform.gov/") and EPA Environmental Dataset Gateway (https://edg.epa.gov/). Abstract: We apply the hydrologic landscapes (HL) concept to assess the hydrologic vulnerability of the western United States (U.S.) to projected climate conditions. Our goal is to understand the potential impacts for stakeholder-defined interests across large geographic areas. The basic assumption of the HL approach is that catchments that share similar physical and climatic characteristics are expected to have similar hydrologic characteristics. We map climate vulnerability by integrating the HL approach into a retrospective analysis of historical data to assess variability in future climate projections and hydrology, which includes temperature, precipitation, potential evapotranspiration, snow accumulation, climatic moisture, surplus water, and seasonality of water surplus. Projections that are not within two-standard deviations of the historical decadal average contribute to the vulnerability index for each metric. The resulting vulnerability maps show that temperature and potential evapotranspiration are consistently projected to have high vulnerability indices for the western U.S. Precipitation vulnerability is not as spatially-uniform as temperature. The highest elevation areas with snow are projected to experience significant changes in snow accumulation. The seasonality vulnerability map shows that specific mountainous areas in the West are most prone to changes in seasonality, whereas many transitional terrains are moderately susceptible. This paper illustrates how the HL approach can help assess climatic and hydrologic vulnerability across large spatial scales. By combining the HL concept and climate vulnerability analyses, we provide a planning approach that could allow resource managers to consider how future climate conditions may impact important economic and conservation resources. Purpose: These data were created in support of the US EPA’s ACE CIVA 2.3, Task Project (QAPP: E-WED-0030854). However, these climate data and hydrologic landscape summaries should have broad applicability for hydrological, geomorphic, or ecological modeling, management, and restoration.  This raster contains the modeled change in the average Feddema Moisture Index over 1931-1960 relative to the 1971-2000 Normal period.

Tags: 020:094, 1900 -2010, 2041-2070, climate, downloadable data, environment, united states, water
Organization: U.S. Environmental Protection Agency
Trace Atmospheric Gas Analyzer (TAGA) Volatile Organic Compound (VOC) Data for BP Spill/Deepwater Horizon - August 2010

The Trace Atmospheric Gas Analyzer (TAGA) buses are self-contained mobile laboratories that conduct instant-result monitoring of air quality at particular locations. In response to the BP Spill in 2010, equipment in the TAGA buses monitored for air toxics known as volatile organic compounds (VOCs). The specific VOCs being monitored were benzene, toluene, and xylene. These substances are also associated with facilities such as gas stations, oil refineries, paper mills, and autobody shops. The TAGA monitoring found that these substances are not present or are being detected at low levels in the areas monitored along the Gulf Coast and in New Orleans, LA. The levels found were well below levels that would cause temporary discomfort, irritation, or other minor effects.

Tags: air, alabama, disaster, emergency, exposure, florida, hazards, health, louisiana, mississippi, monitoring, response, toxics
Organization: U.S. Environmental Protection Agency
Oceanside Harbor (California) sewage no-discharge zone, 1976, EPA HQ OWOW

This geospatial dataset depicts a sewage no-discharge zone established under Clean Water Act Section 312. The area(s) depicted are zones where the discharge of any sewage, treated or untreated, from vessels is prohibited. This layer was created using information from the corresponding Federal Register notice and is created for informational purposes, not to be used for enforcement.

Tags: 020:078, california, downloadable data, environment, marine, water
Organization: U.S. Environmental Protection Agency
Modeled change in the average Feddema Moisture Index (multiplied by 1000) between modeled 2041-2070 (CCSM4 r1i1p1) and the 1971-2000 Normal period.

Originators: US Environmental Protection Agency Publisher: US EPA Office of Research & Development (ORD) - National Health and Environmental Effects Research Laboratory (NHEERL) Publication place: Corvallis, OR Publication date: Time Period of Data: 1900-2010; Projected data for 2041-2070. Data location: GeoPlatform ("https://www.geoplatform.gov/") and EPA Environmental Dataset Gateway (https://edg.epa.gov/). Abstract: We apply the hydrologic landscapes (HL) concept to assess the hydrologic vulnerability of the western United States (U.S.) to projected climate conditions. Our goal is to understand the potential impacts for stakeholder-defined interests across large geographic areas. The basic assumption of the HL approach is that catchments that share similar physical and climatic characteristics are expected to have similar hydrologic characteristics. We map climate vulnerability by integrating the HL approach into a retrospective analysis of historical data to assess variability in future climate projections and hydrology, which includes temperature, precipitation, potential evapotranspiration, snow accumulation, climatic moisture, surplus water, and seasonality of water surplus. Projections that are not within two-standard deviations of the historical decadal average contribute to the vulnerability index for each metric. The resulting vulnerability maps show that temperature and potential evapotranspiration are consistently projected to have high vulnerability indices for the western U.S. Precipitation vulnerability is not as spatially-uniform as temperature. The highest elevation areas with snow are projected to experience significant changes in snow accumulation. The seasonality vulnerability map shows that specific mountainous areas in the West are most prone to changes in seasonality, whereas many transitional terrains are moderately susceptible. This paper illustrates how the HL approach can help assess climatic and hydrologic vulnerability across large spatial scales. By combining the HL concept and climate vulnerability analyses, we provide a planning approach that could allow resource managers to consider how future climate conditions may impact important economic and conservation resources. Purpose: These data were created in support of the US EPA’s ACE CIVA 2.3, Task Project (QAPP: E-WED-0030854). However, these climate data and hydrologic landscape summaries should have broad applicability for hydrological, geomorphic, or ecological modeling, management, and restoration.  This raster contains the modeled change in the average Feddema Moisture Index over 2041-2070 (CCSM4 r1i1p1) and the 1971-2000 Normal period.

Tags: 020:094, 1900 -2010, 2041-2070, climate, downloadable data, environment, united states, water
Organization: U.S. Environmental Protection Agency
Total Marsh at Mispillion, DE, Lower Delaware Bay, Intermediate Sea Level Rise Scenario, “Protect Developed Dry Land” model protection scenario, EPA ORD NCEA

This raster GIS dataset contains 5-meter-resolution cells depicting the areas of total marsh gain (value=1), lost (value=-1) and remaining (no change; value=0). Total marsh (TM) was defined as the sum of low marsh and high marsh [SLAMM category 8 + SLAMM category 7 + SLAMM category 20]. Based on SLAMM simulation outputs, we generated the gain and loss map by using the “Raster Calculator” tool under “Spatial Analyst Tools” in ArcGIS software. The methodology consists of the three steps listed below (where we use low marsh [LM] as an example). The same process can be applied to other SLAMM land cover categories. 

1) Open ArcMap, add SLAMM simulation raster outputs (all SLAMM categories) for baseline year and future years. 

2) In Raster Calculator, set the SLAMM codeequal to8 (low marsh = SLAMM category 8) to generate a new raster. Each individual cell in the new raster is assigned a value of “0” or “1”. “1” is low marsh and “0” is any other SLAMM land cover category. Perform this step for both the baseline year and future year. 

3) In Raster Calculator, subtract the new raster for the baseline year from the new raster for the future year (formula = new future year raster - new baseline year raster). The calculation generates a new raster, in which each individual cell is assigned a value of “-1”, “0”, or “1”. Based on the calculation, “-1” means low marsh loss in the future (the cell has converted from low marsh to a different SLAMM category), “0” means low marsh is remaining (the cell stays the same), and “1” means low marsh gain in the future (the cell has converted from a different SLAMM category to low marsh). 

Prior SLAMM work has been performed in the Delaware Bay, but our methods differ in that we derive results for specific marsh areas and utilize more recent, higher resolution elevation data (2015 USGS CoNED Topobathy Model: New Jersey and Delaware), the most recent SLR projections, and site-specific accretion data (through 2016). These SLAMM simulations were performed as part of a larger project by the USEPA on frameworks and methods for characterizing relative wetland vulnerabilities. 

Note: additional raster files from this project are available upon request. These include files from low and high SLR scenarios and different model protection scenarios. For more information, contact Jordan West (West.Jordan@epa.gov).

Tags: 020:094, coastal wetland, delaware, downloadable data, ecosystem, environment, estuary, exposure, modeling, natural resources, new jersey, relative vulnerability, sea level rise, united states
Organization: U.S. Environmental Protection Agency
US EPA Region 4 RMP Facilities

To improve public health and the environment, the United States Environmental Protection Agency (USEPA) collects information about facilities, sites, or places subject to environmental regulation or of environmental interest. Through the Geospatial Data Download Service, the public is now able to download the EPA Geodata shapefile containing facility and site information from EPA's national program systems. The file is Internet accessible from the Envirofacts Web site (https://www.epa.gov/enviro). The data may be used with geospatial mapping applications. (Note: The shapefile omits facilities without latitude/longitude coordinates.) The EPA Geospatial Data contains the name, location (latitude/longitude), and EPA program information about specific facilities and sites. In addition, the file contains a Uniform Resource Locator (URL), which allows mapping applications to present an option to users to access additional EPA data resources on a specific facility or site.

Tags: compliance, contaminant, environment, facilities, health, inspections, monitoring, permits, risk, sites, toxics
Organization: U.S. Environmental Protection Agency
Navesink River (New Jersey) sewage no-discharge zone, 1999, EPA HQ OWOW

This is a No Discharge Area (NDA) for Navesink River, NJ. The actual NDA areas/polygons were primarily created using narrative description from Federal Register notices and digitized against basemap data for hydrography and from recent aerial photography.

Tags: 020:078, downloadable data, environment, marine, new jersey, water
Organization: U.S. Environmental Protection Agency
Broad Creek, Jackson Creek and Fishing Bay (Virginia) sewage no-discharge zone, 2009, EPA HQ OWOW

This geospatial dataset depicts a sewage no-discharge zone established under Clean Water Act Section 312. The area(s) depicted are zones where the discharge of any sewage, treated or untreated, from vessels is prohibited. This layer was created using information from the corresponding Federal Register notice and is created for informational purposes, not to be used for enforcement.

Tags: 020:078, downloadable data, environment, marine, virginia, water
Organization: U.S. Environmental Protection Agency
Global Non-Floodplain Wetlands_NorthAmerica

This raster GIS dataset contains 30 meter cells depicting non-floodplain wetlands in a hydrobasin. This base dataset is a combination of three globally-available datasets, creating a new dataset that is inclusive of finer-resolution data, while accounting for a wide range of wetland sizes. 
The three source datasets are:
 1) CW-WTD 500-m dataset resampled to 30 m. – Wetland dataset built from a composite wetland-water table depth (Tootchi 2019); 
 2) CCI (Climate Change Initiative) data resampled from 300 m to 30 m – CCI defined wetlands as “…mixed classes of flooded areas with tree covers, shrubs, or herbaceous covers plus inland water bodies;” and
 3) Global Surface Water (GSW)  30-m (Pekel et al. 2016) – A pixel was considered a wetland if it had at least one inundation event over a 32-year range.

A 1-km buffer was applied to the HydroBASINS (Lehner and Grill 2013) coastline area and any wetland partially or completely overlain by the 1-km buffer was removed from analysis. In addition, to avoid including large lakes in  the data, we also applied a mask using HydroLAKES and removed lake systems ≥10 ha (Messager et al. 2016).

The dataset was then overlain by the GFPlain90 floodplain data (resampled to 30 meters) and wetlands overlain by the floodplain were removed.



Tags: 020:096, 020:121, biogeochemical processing, downloadable data, drought mitigation, geographically isolated wetland, global, hydrobasin, non-floodplain, northamerica, watershed, wetland habitat, wetland mapping, wetlands
Organization: U.S. Environmental Protection Agency
All Rhode Island waters within 3 mile territorial limit sewage no-discharge zone, 1998, EPA HQ OWOW

This geospatial dataset depicts a sewage no-discharge zone established under Clean Water Act Section 312. The area(s) depicted are zones where the discharge of any sewage, treated or untreated, from vessels is prohibited. This layer was created using information from the corresponding Federal Register notice and is created for informational purposes, not to be used for enforcement.

Tags: 020:078, downloadable data, environment, marine, rhode island, water
Organization: U.S. Environmental Protection Agency
Lake George (New York) sewage no-discharge zone, 1976, EPA HQ OWOW

This is a No Discharge Area (NDA) for Lake George, NY. The actual NDA areas/polygons were primarily created using narrative description from Federal Register notices and digitized against basemap data for hydrography and from recent aerial photography.

Tags: 020:078, downloadable data, environment, marine, new york, water
Organization: U.S. Environmental Protection Agency
Global Non-Floodplain Wetlands Arctic

This raster GIS dataset contains 30 meter cells depicting non-floodplain wetlands in a hydrobasin. This base dataset is a combination of three globally-available datasets, creating a new dataset that is inclusive of finer-resolution data, while accounting for a wide range of wetland sizes. 
The three source datasets are:
 1) CW-WTD 500-m dataset resampled to 30 m. – Wetland dataset built from a composite wetland-water table depth (Tootchi 2019); 
 2) CCI (Climate Change Initiative) data resampled from 300 m to 30 m – CCI defined wetlands as “…mixed classes of flooded areas with tree covers, shrubs, or herbaceous covers plus inland water bodies;” and
 3) Global Surface Water (GSW)  30-m (Pekel et al. 2016) – A pixel was considered a wetland if it had at least one inundation event over a 32-year range.

A 1-km buffer was applied to the HydroBASINS (Lehner and Grill 2013) coastline area and any wetland partially or completely overlain by the 1-km buffer was removed from analysis. In addition, to avoid including large lakes in  the data, we also applied a mask using HydroLAKES and removed lake systems ≥10 ha (Messager et al. 2016).

The dataset was then overlain by the GFPlain90 floodplain data (resampled to 30 meters) and wetlands overlain by the floodplain were removed.



Tags: 020:096, 020:121, arctic, biogeochemical processing, downloadable data, drought mitigation, geographically isolated wetland, global, hydrobasin, non-floodplain, watershed, wetland habitat, wetland mapping, wetlands
Organization: U.S. Environmental Protection Agency
EPA RCRA Corrective Action AUL Boundary Data, U.S. EPA Region 1

This GIS dataset contains features depicting RCRA Corrective Action sites from EPA Region 1. The Resource Conservation and Recovery Act (RCRA), among other things, helps ensure that wastes are managed in an environmentally sound manner so as to protect human health and the environment from the potential hazards of waste disposal. EPA and 44 authorized states and territories run the Resource Conservation and Recovery Act (RCRA) Corrective Action program to work with hazardous waste facilities to investigate and clean up any release of hazardous waste into the soil, ground water, surface water and air. In general, all generators, transporters, treaters, storers, and disposers of hazardous waste are required to provide information about their activities to state environmental agencies. These agencies, in turn pass on the information to regional and national EPA offices. Accidents or other activities at facilities that treat, store or dispose of hazardous wastes have sometimes led to the release of hazardous waste or hazardous constituents into soil, ground water, surface water, or air. When that happens, the RCRA Corrective Action program is one program that may be used to accomplish the necessary cleanup. This data set provides boundaries for those areas where cleanup activities are underway. RCRA CABs and cleanup boundaries are meant to include the various boundaries associated with a site, including: institutional controls, engineering controls, land use controls, anticipated/acceptable use limitations, operable units, as well as the site or facility boundaries.

Tags: 020:088, alabama, alaska, american samoa, canada, cleanup, conservation, downloadable data, ecology, ecosystem, energy, environment, exposure, hawaii, hazards, health, human, mexico, monitoring, puerto rico, quality, regulatory, response, risk, sites, spills, toxics, united states, virgin islands, washington dc, waste
Organization: U.S. Environmental Protection Agency
Global Wetlands South America

This raster GIS dataset contains 30 meter cells depicting wetlands in a hydrobasin.  
This base dataset is a combination of three globally available datasets creating a new dataset is that is inclusive of both finer-resolution data while accounting for a wide range of wetland sizes. 
The three source datasets are:
 1) CW-WTD 500 m dataset resampled to 30 m. – Wetland dataset built from a composite wetland-water table depth (Tootchi 2019), 
 2) CCI (Climate Change Initiative) data resampled from 300 m to 30 m - CCI defined wetlands as “…mixed classes of flooded areas with tree covers, shrubs, or herbaceous covers plus inland water bodies” and
 3) Global Surface Water (GSW)  30-m (Pekel et al. 2016) – A pixel was considered a wetland if it had at least one inundation event over a 32-year range.



Tags: 020:096, 020:121, biogeochemical processing, downloadable data, drought mitigation, geographically isolated wetland, global, hydrobasin, non-floodplain, south america, watershed, wetland habitat, wetland mapping, wetlands
Organization: U.S. Environmental Protection Agency