AndreaBozzo/ceres-open-data-index huggingface dataset:
Modeled change in the average Feddema Moisture Index (multiplied by 1000) between modeled 2041-2070 (GFDL-CM3 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 (GFDL-CM3 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
Global Non-Floodplain Wetlands Africa

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, africa, 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
Region 1 Engineered Controls Polygons

Polygon features of certain engineered controls on RCRA sites in EPA Region 1. Locations are accurate as of 4/15/2020 and should have corresponding information in RCRAInfo.

Tags: 020:088, cleanup, compliance, connecticut, downloadable data, environment, facilities, hazards, human, maine, massachusetts, new hampshire, regulatory, remediation, rhode island, sites, toxics, vermont, waste
Organization: U.S. Environmental Protection Agency
Modeled change in the average Feddema Moisture Index (multiplied by 1000) between modeled 2041-2070 (CESM1 r3i1p1) 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 (CESM1 r3i1p1) 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
SWAT Reach Output Seasonal Change Scenarios for: Modeling Future Land Cover and Water Quality Change in Minneapolis, MN, USA to Support Drinking Water Source Protection Decisions

We developed four 2011-2050 land cover change scenarios and modeled the impact of projected land cover change on influent water quality to support long-term planning for the city of Minneapolis, MN.  Baseline land cover was from the NLCD2011 database.  IPCC SRES scenarios (https://www.ipcc.ch/site/assets/uploads/2018/03/sres-en.pdf) interpreted by Sohl et al. (2014) (https://doi.org/10.1890/13-1245.1) for the conterminous United States were downscaled from 250 meters to 30 meters.  The baseline and scenario land cover data were used as input into the Soil Water and Assessment Tool (SWAT) model to assess the effect of outyear projected land cover change on the source of raw water for the city of Minneapolis, MN. SWAT was used to assess the effect of land cover change on raw water concentrations of sediment, total nitrogen, and total phosphorus. The IPCC SRES evaluated were A1B, A2, B1, and B2.  The four scenarios were implemented with (A1Bf) and without (A1B) forest recovery (e.g., conversion of cropland (2011) to forest (2050).  
		
		Units for the MeanDifference variable are different for TN/TP and sediment due to SWAT reporting conventions; TN and TP are in kilograms (kg) and sediment is in megagrams (Mg).  1 Mg = 1,000 kg.  Differences are scenario minus baseline; negative values indicate constituent loads were less for the scenario relative to the baseline.  NLCD2001 was included as a scenario to assess the effect of land cover change.  Negative values for the NLCD2001 scenario indicate that a constituent load was less in 2001 relative to 2011.

Tags: 010, 020:072, climate, digital spatial data, environment, gis, image processing, imagerybasemapearthcover, land, land cover, land use land cover theme, national geospatial data asset, ngda, u.s. geological survey (usgs), united states
Organization: U.S. Environmental Protection Agency
Channel Islands Harbor (California) sewage no-discharge zone, 1979, 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
EF RCRA

EF_RCRA is a subset of facilities from FRS_PROGRAM_FACILITY and associated best-available geospatial coordinates. Facility Registry Service (FRS) data are refrehsed daily. The layer shows only points from the RCRAInfo (Resource Conservation and Recovery Act Information) program.

Tags: alabama, alaska, american samoa, arizona, arkansas, california, cleanup, colorado, connecticut, conservation, delaware, environment, facilities, florida, georgia, 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, 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, west virginia, wisconsin, wyoming
Organization: U.S. Environmental Protection Agency
USEPA Environmental Quality Index (EQI) - Air, Water, Land, Built, and Sociodemographic Domains Non-Transformed Variables Dataset as Input for the 2006-2010 USEPA EQI, by County for the United States

The US Environmental Protection Agency's (EPA) Center for Public Health and Environmental Assessment (CPHEA) in the Public Health and Environmental Systems Division (PHESD) is currently engaged in research aimed at developing a measure that estimates overall environmental quality at the county level for the United States. This work is being conducted as an effort to learn more about how various environmental factors simultaneously contribute to health disparities in low-income and minority populations, and to better estimate the total environmental and social context to which humans are exposed. This dataset contains the finalized non-transformed variables chosen to represent the Air, Water, Land, Built, and Sociodemographic Domains of the total environment for 2006-2010. This does not represent the final variables for the EQI. The Transformed dataset was used to create the EQI. This dataset is for information purposes only for those who want to see the original non-transformed variables. More information about the EQI can be found at https://www.epa.gov/healthresearch/epas-environmental-quality-index-supports-public-health

Tags: 020:053, air, alabama, alaska, arizona, arkansas, california, chesapeake bay, chesapeake bay watershed, colorado, connecticut, delaware, environment, exposure, florida, georgia, hawaii, idaho, illinois, indiana, indicator, iowa, kansas, kentucky, land, 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, rhode island, south carolina, south dakota, tennessee, texas, united states, utah, vermont, virginia, washington, washington dc, water, west virginia, wisconsin, wyoming
Organization: U.S. Environmental Protection Agency
24 Texas freshwater bodies sewage no-discharge zone, 1977, 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, texas, water
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 &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
USEPA Grants

EPA's management information system for grants programs is the Integrated Grants Management System (IGMS), which awards, administers, and monitors grants. Grants are regularly awarded to Federal, State, or local government agencies, universities, and other institutions that support EPA's environmental programs. Specific types of agreements include assistance agreements, grants, cooperative agreements, interagency agreements, and other types of program support agreements administered by Headquarters or EPA regions. This dataset contains point locations for all grants given out by the USEPA going back to the 1960s till the end of 2012.

Tags: grants, united states
Organization: U.S. Environmental Protection Agency
Clear Lake (Texas) sewage no-discharge zone, 1995, 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, texas, water
Organization: U.S. Environmental Protection Agency
Operational Landfill Gas Energy Projects with Coordinates

Feature layer published by the U.S. EPA Landfill Methane Outreach Program (LMOP) that shows currently operational landfill gas energy projects in the United States. Data from the LMOP Database are available at https://www.epa.gov/lmop/lmop-landfill-and-project-database.

Tags: 020:000, air, climate change, energy, environment, sustainability, united states, waste
Organization: U.S. Environmental Protection Agency
Relative Sea Level Change Along U.S. Coasts, 1960-2023

This map shows the change in relative sea level at 72 locations along the U.S. Coasts from 1960 - 2023. Arrows pointing up indicate an increase in sea level height (in inches) over time and arrows pointing down, a decrease. The different color and size of the arrows represent the amount of change in the height. For more information: www.epa.gov/climate-indicators

Tags: 020:072, air, climate, indicator, other documents, relative sea level, united states
Organization: U.S. Environmental Protection Agency
Modeled change in the average Feddema Moisture Index (multiplied by 1000) between the modeled 2041-2070 period (CCSM4 r1i1p1 model) 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 2041-2070 modeled data (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