AndreaBozzo/ceres-open-data-index huggingface dataset:
Modeled change in the Seasonality between the 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 seasonality of the month of maximum surplus precipitation between the target modeled time period (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
Global Non-Floodplain Wetlands Siberia

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, siberia, watershed, wetland habitat, wetland mapping, wetlands
Organization: U.S. Environmental Protection Agency
Anne Arundel County (Maryland) sewage no-discharge zone, 2021, 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: 020:112, downloadable data, environment, inlandwaters, maryland, oceans, water
Organization: U.S. Environmental Protection Agency
EPA RE-Powering Mapper Region 1

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
Mandatory Class 1 Federal Areas Download Package

This downloadable package contains the following layers: Mandatory Class 1 Federal Area polygons in the United States. Included in this package are a file geodatabase, Esri ArcMap map document and an XML file of this metadata record. This dataset was developed by EPA's Office of Air Quality Planning and Standards (OAQPS) based on features originating from several data sources, including USEPA, USFS, USFWS, NPS and BIA.

Tags: air, alabama, alaska, arizona, arkansas, california, canada, colorado, compliance, environment, florida, georgia, hawaii, idaho, kentucky, louisiana, maine, michigan, minnesota, missouri, monitoring, montana, nevada, new hampshire, new jersey, new mexico, north carolina, north dakota, oklahoma, oregon, quality, regulatory, south carolina, south dakota, tennessee, texas, united states, utah, vermont, virgin islands, virginia, washington, west virginia, wyoming
Organization: U.S. Environmental Protection Agency
Polychlorinated Biphenyls (PCB) Residue Effects Database

The PCB Residue Effects (PCBRes) Database was developed to assist scientists and risk assessors in correlating PCB and dioxin-like compound residues with toxic effects. The purpose is to develop PCB critical residue values for fish, mammals and birds, especially as these relate to aquatic and aquatic-dependent species.

Tags: air, air pollutants, air quality, datafinder, environment, environmental media topics, pollutants & contaminants, substances, united states
Organization: U.S. Environmental Protection Agency
Modeled change in the Seasonality between the modeled 2041-2070 period (MRI-CGCM3 r1i1p1 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
All Landfills in LMOP Database with Coordinates

Feature layer published by the U.S. EPA Landfill Methane Outreach Program (LMOP) that shows landfills listed in the LMOP Database having latitude and longitude coordinates. 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
EPA RE-Powering Mapper Region 8

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
Chemical Data Release (CDR) Children's Products Uses, 2012

This layer displays points of children's products 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
EPA RE-Powering Screening Shapefile

The U.S. Environmental Protection Agency (EPA) Office of Land and Emergency Management (OLEM) Center for Program Analysis (CPA) 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, climate, contaminant, energy, environment, facilities, sample
Organization: U.S. Environmental Protection Agency
Sustainable Materials Management (SMM) - Recycling Economic Information (REI) Report

The 2016 Recycling Economic Information (REI) Report aims to increase the understanding of the economic implications of material reuse and recycling. The report shows that recycling and reuse of materials creates jobs, while also generating local and state tax revenues.   The 2016 REI Report covers the economic activities of nine sectors: ferrous metals, nonferrous metals (aluminum), glass, paper, plastics, rubber, construction and demolition, electronics and organics (including food and yard trimmings).  
				
The 2016 REI Report builds on work from a 2001 REI study. In 2001, to encourage the development of an economic market for recycling, EPA supported the creation of a national Recycling Economic Information (REI) Project and the related REI report, based upon the work of several states and regions. The REI report was a ground breaking national study demonstrating the economic value of recycling and reuse to the U.S. economy. Compiled through a cooperative agreement with the National Recycling Coalition, the study confirmed what many have known for decades: there are significant economic benefits in recycling.  The 2016 report focuses on the economic impacts of recycling rather than the environmental benefits, as the environmental benefits have been researched in detail. Accurately estimating the impact that recycling has on jobs, wages and taxes is important because the results can influence policy decisions and provide a more robust picture of recycling by adding an economic layer on top of the more heavily researched environmental impacts of recycling. For more information, please visit https://www.epa.gov/smm/recycling-economic-information-rei-report.

The REI Report is part of EPA's larger SMM program (https://www.epa.gov/smm). Sustainable Materials Management (SMM) is a systemic approach to using and reusing materials more productively over their entire lifecycles. It represents a change in how our society thinks about the use of natural resources and environmental protection. By looking at a product's entire lifecycle we can find new opportunities to reduce environmental impacts, conserve resources and reduce costs. There are multiple challenge programs available as part of the SMM program, including the Food Recovery Challenge, the Electronics Challenge, the Federal Green Challenge and the WasteWise program.  			

				


Tags: disposal, diversion, environment, landfill, office of land and emergency management (olem), recovery, recycling, resource conservation, sustainability, united states, waste
Organization: U.S. Environmental Protection Agency
Total Marsh at Dennis, NJ, 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
OECA Annual Report 2015 Data Package

This downloadable data package shows information on enforcement actions and cases from 2015. They include civil enforcement actions taken by EPA at facilities, criminal cases prosecuted by EPA under federal statutes and the U.S. Criminal Code, and cases in which EPA provided significant support to cases prosecuted under state criminal laws.

Tags: air, cleanup, compliance, contaminant, energy, facilities, waste, water
Organization: U.S. Environmental Protection Agency
Broad Creek, Lake Keowee, Lake Murray, Lake Thurmond, and Lake Wylie (Georgia, North Carolina, and South Carolina) sewage no-discharge zone, 1999, 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, georgia, marine, north carolina, south carolina, water
Organization: U.S. Environmental Protection Agency
BP Spill Sampling and Monitoring Data April-September 2010 - Data Download Tool

This dataset analyzes waste from the the British Petroleum Deepwater Horizon Rig Explosion Emergency Response, providing opportunity to query data sets by metadata criteria and find resulting raw datasets in CSV format.The data query tool allows users to download air, water and sediment sampling and monitoring data that has been collected in response to the BP oil spill. All sampling and monitoring data that has been collected to date is available for download as raw structured data.The query tools enables CSV file creation to be refined based on the following search criteria: date range (between April 28, 2010 and 9/29/2010); location by zip, city, or county; media (solid waste, weathered oil, air, surface water, liquid waste, tar, sediment, water); substance categories (based on media selection) and substances (based on substance category selection).

Tags: air, alabama, analytical sampling and monitoring, bp, british petroleum, deepwater horizon, emergency response, environment, florida, gulf of mexico, louisiana, mississippi, oil spill, sediment, spill of national significance, united states, water
Organization: U.S. Environmental Protection Agency