AndreaBozzo/ceres-open-data-index huggingface dataset:
Modeled change in the Seasonality between the modeled 2041-2070 period (CESM1 r3i1p1 model) 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 seasonality of the month of maximum surplus precipitation between the target time period and model (in title) and the 1971-2000 Normal period (1 = same season, 0 = earlier season, 2 = later season).

Tags: 020:094, 1900 -2010, 2041-2070, climate, downloadable data, environment, united states, water
Organization: U.S. Environmental Protection Agency
EPA RE-Powering Mapper Region 3

The U.S. Environmental Protection Agency (EPA) Office of Land and Emergency Management (OLEM) Office of Communications, Partnerships and Analysis (OCPA) initiated the RE-Powering America's Land Initiative to demonstrate the enormous potential that contaminated lands, landfills, and mine sites provide for developing renewable energy in the United States. EPA developed national level site screening criteria in partnership with the U.S. Department of Energy (DOE) National Renewable Energy Laboratory (NREL) for wind, solar, biomass, and geothermal facilities. While the screening criteria demonstrate the potential to reuse contaminated land for renewable energy facilities, the criteria and data are neither designed to identify the best sites for developing renewable energy nor all-inclusive. Therefore, more detailed, site-specific analysis is necessary to identify or prioritize the best sites for developing renewable energy facilities based on the technical and economic potential. Please note that these sites were only pre-screened for renewable energy potential. The sites were not evaluated for land use constraints or current on the ground conditions. Additional research and site-specific analysis are needed to verify viability for renewable energy potential at a given site.

Tags: cleanup, energy, environment, facilities, land, remediation, sites, united states, waste
Organization: U.S. Environmental Protection Agency
Total Marsh at Broadkill, 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
Valleys - US EPA Regions 1, 2, 3, 9 (2022) and 10 (2024)

Valleys, featured in the Valley Identification Tool, are locations that have a lower elevation than surrounding areas. EPA Region 1 GIS Center applied ArcGIS' Focal Statistics tool to the USGS 30-meter NED DEM to find places where elevations are significantly less than average. We then quantified population and wood fuel usage within Census County Subdivisions to find locations which may be vulnerable to wood smoke pollution during winter thermal inversions. 

Created by US EPA Region 1 GIS Center; and implemented in EPA Regions 2, 3 and 9 in 2022 and Region 10 in 2024 by regional GIS staff, US EPA Office of Mission Support (OMS).

Tags: 020:072, air, arizona, california, chesapeake bay, connecticut, delaware, downloadable data, environment, exposure, health, maine, maryland, massachusetts, nevada, new hampshire, new jersey, new york, pennsylvania, rhode island, vermont, virginia, washington dc, west virginia
Organization: U.S. Environmental Protection Agency
South Shore Estuary Reserve (New York) sewage no-discharge zone, 2009, EPA HQ OWOW

This is a No Discharge Area (NDA) for South Shore Estuary Reserve, 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
Water Dischargers/IGD: EF_NPDES

EF_NPDES is a subset of facilities from FRS_PROGRAM_FACILITY and associated best-available geospatial coordinates which are refreshed daily. The layer shows only points from the NPDES (National Pollutant Discharge Elimination System) and PCS (Permit Compliance System) programs as reported in ICIS (Integrated Compliance Information System). The NPDES subset is updated weekly.

Tags: 020:038, alabama, alaska, american samoa, arizona, arkansas, california, colorado, compliance, connecticut, contaminant, delaware, drinking water, environment, exposure, florida, georgia, ground water, hawaii, hazards, health, human, idaho, illinois, indiana, iowa, kansas, kentucky, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, monitoring, montana, nebraska, nevada, new hampshire, new jersey, new mexico, new york, north carolina, north dakota, ohio, oklahoma, oregon, pennsylvania, permits, puerto rico, quality, regulatory, rhode island, sites, south carolina, south dakota, tennessee, texas, toxics, united states, utah, vermont, virgin islands, virginia, washington, washington dc, waste, water, west virginia, wisconsin, wyoming
Organization: U.S. Environmental Protection Agency
Chemical Data Release (CDR) Commercial Uses, 2012

This layer displays points of commercial uses extracted from the 2012 Chemical Data Reporting (CDR) database. The CDR database contains comprehensive use and exposure information on the most widely used chemicals in the United States. This layer is drawn at all scales and was procured for EPA through the Office of Pollution Prevention and Toxics (OPPT).

Tags: alabama, alaska, arizona, arkansas, california, colorado, connecticut, contaminant, delaware, exposure, facilities, florida, georgia, hawaii, health, human, idaho, illinois, impact, indiana, iowa, kansas, kentucky, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, montana, nebraska, nevada, new hampshire, new jersey, new mexico, new york, north carolina, north dakota, ohio, oklahoma, oregon, pennsylvania, pesticides, rhode island, risk, sites, south carolina, south dakota, tennessee, texas, toxics, united states, utah, vermont, virginia, washington, washington dc, west virginia, wisconsin, wyoming
Organization: U.S. Environmental Protection Agency
Kennebunk, Kennebunkport, and Wells (Maine) sewage no-discharge zone, 2009, EPA HQ OWOW

This dataset details No Discharge Zones (NDZ) for Kennebunk, Kennebunkport, and Wells, ME. Boaters may not discharge waste into these areas. Boundaries were determined mostly by Federal Register Environmental Documents in coordination with EPA Region 1 Office of Ecosystem Protection (OEP) staff.

Tags: 020:078, downloadable data, marine, new hampshire, water
Organization: U.S. Environmental Protection Agency
Sites Pre-Screened for Wind 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
Global Wetlands North 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, north america, watershed, wetland habitat, wetland mapping, wetlands
Organization: U.S. Environmental Protection Agency
Modeled change in the average Feddema Moisture Index (multiplied by 1000) between 1951-1980 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 1951-1980 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
Boundaries of EPA R6 NPL Sites as of 3/1/2023; EPA Region 6 Superfund, AR, LA, NM, OK, TX

This layer contains boundaries of EPA Region 6 Superfund NPL Sites as of 3/1/2023. The boundaries represent several types of features such as operable units, plumes, facilities, landfill caps, extent of contamination, and extent of study. 

Tags: 020:109, arkansas, cleanup, contaminant, downloadable data, emergency, facilities, ground water, hazards, impact, land, louisiana, management, new mexico, oklahoma, permits, remediation, risk, spills, surface water, texas, toxics, united states, waste, water
Organization: U.S. Environmental Protection Agency
High Marsh in the 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 HIGH marsh. High marsh (HM) was defined as the aggregation of irregularly-flooded marsh [SLAMM category 7] and transitional salt marsh [SLAMM category 20]. HM is covered by water only sporadically (once per day or less). 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 code equal to 8 (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
Modeled change in the average Feddema Moisture Index (multiplied by 1000) between modeled 2041-2070 (MIROC-ESM 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 (MIROC-ESM 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