AndreaBozzo/ceres-open-data-index huggingface dataset:
Air Quality System (AQS) Monitoring Network, EPA OAR OAQPS

This GIS dataset contains points which depict air quality monitors within EPA's Air Quality System (AQS) monitoring network. This dataset is updated weekly to reflect the most recent changes in the monitoring network. The monitors are generally operated by State, local, and tribal air pollution control agencies using procedures specified by the U.S. EPA. These agencies collect the data, quality assure it, and then submit it to the EPA Air Quality System (AQS). The GIS dataset includes monitor information and links to download historic air quality data at each monitor.

Tags: air, alabama, alaska, arizona, arkansas, california, colorado, connecticut, delaware, environment, exposure, florida, georgia, hawaii, 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, rhode island, south carolina, south dakota, tennessee, texas, toxics, united states, utah, vermont, virgin islands, virginia, washington, washington dc, west virginia, wisconsin, wyoming
Organization: U.S. Environmental Protection Agency
LULC Change From-To Classes 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/loads 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)).

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
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 & 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 1931-1940 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
Modeled change in the average Feddema Moisture Index (multiplied by 1000) between 1961-1990 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
OLEM Center for Program Analysis Site Analysis Data

This asset includes environmental justice-related analyses of population located within a mile of Superfund and RCRA Corrective Action sites. It characterizes demographics and socio-economic characteristics of near-site communities as compared to the average U.S. population. It also examined children of up to 17 years of age living within 1 mile of SF and RCRA CA sites where human health protective measures may not have been in place. It compared data on the health status of these children to the status of all children in the U.S. Information from this study contributed to the America's Children and the Environment (ACE) report for 2013.

Tags: ace, children's health, demographics, environment, environmental justice, rcra corrective action, socio-economics, superfund, united states
Organization: U.S. Environmental Protection Agency
Greater Huntington-North Port Bay Complex (New York) sewage no-discharge zone, 2000, EPA HQ OWOW

This is a No Discharge Area (NDA) for Greater Huntington-North Port Bay Complex, 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
Terrestrial Conservation Focus Areas > 10 Hectares (ECO_RES.ECOFOC_GEO10)

The ECOFOC_GEO10 layer represents Terrestrial Conservatioin Focus Areas that are greater than or equal to 10 hectares in size.  Conservation Focus Areas are threatened areas of ecological importance. They range from 0 (no risk, no importance) to 3 (high risk, high importance).  They were derived from a series of data sets, including agriculture, development and toxic threats, a measure of ecological significance and an analysis of irreplaceability for a set of conservation targets. Full details of the procedure can be found in Diamond, Sowa and Foster, 2005, "Development of Conservation Focus Area Models for EPA Region 7".

Tags: 020:072, agriculture, arkansas, colorado, conservation, ecology, environment, illinois, iowa, kansas, minnesota, missouri, montana, nebraska, new mexico, tennessee, texas, wisconsin, wyoming
Organization: U.S. Environmental Protection Agency
Buzzards Bay (Massachusetts) sewage no-discharge zone, 2000, EPA HQ OWOW

This dataset details No Discharge Zones (NDZ) for Buzzards Bay, MA. Boaters may not discharge waste into these areas. Boundaries were determined mostly by Federal Register Environmental Documents in coordination with Massachusetts Coastal Zone Management (MA CZM) and EPA Region 1 Office of Ecosystem Protection (OEP) staff.

Tags: 020:078, downloadable data, marine, massachusetts, water
Organization: U.S. Environmental Protection Agency
BP Spill Sampling and Monitoring Data

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 EPA's 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: analytical sampling and monitoring, bp, british petroleum, deepwater horizon, emergency response, environment, oil spill, spill of national significant, united states
Organization: U.S. Environmental Protection Agency
Walkability Index

The Walkability Index dataset characterizes every Census 2019 block group in the U.S. based on its relative walkability. Walkability depends upon characteristics of the built environment that influence the likelihood of walking being used as a mode of travel. The Walkability Index is based on the EPA's previous data product, the Smart Location Database (SLD). Block group data from the SLD was the only input into the Walkability Index, and consisted of four variables from the SLD weighted in a formula to create the new Walkability Index. This dataset shares the SLD's block group boundary definitions from Census 2019. The methodology describing the process of creating the Walkability Index can be found in the documents located at https://edg.epa.gov/EPADataCommons/public/OA/WalkabilityIndex.zip. You can also learn more about the Smart Location Database at https://www.epa.gov/smartgrowth/smart-location-mapping.

Tags: alabama, alaska, american samoa, arizona, arkansas, california, canada, chesapeake bay, chesapeake bay watershed, colorado, connecticut, delaware, environment, florida, georgia, hawaii, health, human, idaho, illinois, indiana, iowa, kansas, kentucky, land, louisiana, maine, maryland, massachusetts, mexico, michigan, minnesota, mississippi, missouri, montana, nebraska, nevada, new hampshire, new jersey, new mexico, new york, north carolina, north dakota, ohio, oklahoma, oregon, pennsylvania, puerto rico, recreation, rhode island, south carolina, south dakota, tennessee, texas, transportation, united states, utah, vermont, virginia, washington, washington dc, west virginia, wisconsin, wyoming
Organization: U.S. Environmental Protection Agency
Superfund Technical Assistance Grants

This asset includes data related to the Superfund Technical Assistance Grant program, including grant number, award amounts, award dates, period of performance, site/PRP name, and community group awarded grant. Data collected from Regional TAG Coordinators enables HQ to easily access statistical information on the TAG program in order to respond to requests for Catalog of Federal Domestic Assistance (CFDA) updates, requests for talking point information, questions from OSRTI/OSWER managers, and other various requests for program statistics.

Tags: environment, tag, technical assistance, technical assistance grant, united states
Organization: U.S. Environmental Protection Agency
Landfill Gas Energy Projects and Landfills in LMOP Database

Web map published by the U.S. EPA Landfill Methane Outreach Program (LMOP) that shows currently operational landfill gas energy projects and landfills listed in the LMOP Database having latitude and longitude coordinates. Data for operational projects are provided in 4 layers by Project Type Category (electricity, direct use, RNG pipeline injection, and RNG local use). Data for landfills are provided in 3 layers by Landfill Category (candidate, with project, and other). LMOP defines a candidate landfill as one that is accepting waste or has been closed for five years or less, has at least one million tons of waste, and does not have an operational, under-construction, or planned project; candidate landfills can also be designated based on actual interest by the site. Data from the LMOP Database are available at https://www.epa.gov/lmop/lmop-landfill-and-project-database. The Tribal layer data are available at https://geopub.epa.gov/arcgis/rest/services/EMEF/Tribal/MapServer.

Tags: 020:000, air, climate change, energy, environment, sustainability, united states, waste
Organization: U.S. Environmental Protection Agency
Region 7 Significant Ecological Resource Areas (ECO_RES.SIG_REGIONS)

SIG_REGIONS is a boundary layer that displays Region 7's Significant Ecological Resource Areas.  This layer represents large areas within which different ecosystem types occur, such as the Prairie Pothole wetland depressions in northern Iowa or the Flint Hills tall grasslands in eastern Kansas.  Note: a particular ecosystem type may not be contiguous throughout an entire polygon; rather, that ecosystem type can be found there.

Tags: 020:072, biology, conservation, ecology, ecosystem, environment, iowa, kansas, land, management, missouri, natural resources, nebraska
Organization: U.S. Environmental Protection Agency
Herring Bay (Maryland) sewage no-discharge zone, 2002, 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, maryland, water
Organization: U.S. Environmental Protection Agency
GFPLAIN90_Asia

All floodplains were derived using modified scripts from GFPLAIN v1.0 (https://github.com/fnardi/GFPLAIN).    This data was created by modifying the scripts to work with 90-m data.
Global FloodPLAIN (GFPLAIN) mapping uses a geomorphic algorithm. Geomorphic FloodPLAIN mapping algorithm GFPLAIN is based on Nardi et al. (2006, 2018).  
The data is available at the hydrobasin 4 level.  HydroBASINS data provides a series of polygon layers that depict watershed boundaries and sub-basin delineations at a global scale (http://www.hydrosheds.org).   

Tags: 020:096, 020:121, asia, drought mitigation, flood-hazard, floodplain, floodplains, global, hydrobasin, non-floodplain, wetland habitat, wetland mapping
Organization: U.S. Environmental Protection Agency
EPA RE-Powering Mapper Region 2

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
Southern Mount Desert Island (Maine) sewage no-discharge zone, 2009, EPA HQ OWOW

This dataset details No Discharge Zones (NDZ) for Southern Mount Desert Island, ME. Boaters may not discharge waste into these areas. Boundaries were determined mostly by Federal Register Environmental Documents in coordination with Massachusetts Coastal Zone Management (MA CZM) and EPA Region 1 Office of Ecosystem Protection (OEP) staff.

Tags: 020:078, downloadable data, marine, new hampshire, water
Organization: U.S. Environmental Protection Agency
Global Wetlands Africa

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, 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