AndreaBozzo/ceres-open-data-index huggingface dataset:
2006 PM-2.5 Nonattainment Areas

This data layer identifies areas in the U.S. where air pollution levels have not met the National Ambient Air Quality Standards (NAAQS) for 2006 PM-2.5 standards. These areas were designated "nonattainment" on October 8, 2009. The designations were published in the Federal Register on November 13, 2009. See 74 FR 58688. The EPA Office of Air Quality Planning and Standards (OAQPS) has set National Ambient Air Quality Standards for six principal pollutants, which are called "criteria" pollutants. Under provisions of the Clean Air Act, which is intended to improve the quality of the air we breathe, EPA sets limits on how much of a pollutant can be in the air anywhere in the United States. Pursuant to section 109(d) of the CAA EPA is required to review and promulgate new NAAQS every five years, as appropriate. This ensures that all Americans have the same basic health and environmental protections. The law allows individual states to have stronger pollution controls, but states are not allowed to have weaker pollution controls than those set for the whole country. EPA calls these pollutants "criteria air pollutants" because the agency has regulated them by first developing health-based criteria (science-based guidelines) as the basis for setting permissible levels. One set of limits (primary standard) protects health; another set of limits (secondary standard) is intended to prevent environmental and property damage. A geographic area that meets or does better than the primary standard is called an attainment area; areas that don't meet the primary standard are called nonattainment areas. For current information concerning the attainment status of these NAA please visit http://www.epa.gov/air/oaqps/greenbk/mappm25_2006.html.

Tags: air, alabama, alaska, american samoa, arizona, arkansas, california, colorado, connecticut, conterminous united states (conus), delaware, district of columbia, florida, georgia, hawaii, 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, non-attainment, north carolina, north dakota, ohio, oklahoma, oregon, pennsylvania, puerto rico, rhode island, south carolina, south dakota, tennessee, texas, united states (us) (usa), utah, vermont, virgin islands, virginia, washington, washington dc, west virginia, wisconsin, wyoming
Organization: U.S. Environmental Protection Agency
Westport (Massachusetts) sewage no-discharge zone, 1994, EPA HQ OWOW

This dataset details No Discharge Zones (NDZ) for Westport, 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
Modeled change in the Seasonality between the modeled 2041-2070 period (CSIRO-Mk3-6-0 r5i1p1 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
Toxic Substances Control Act (TSCA) 8(e) Notices and FYI Submissions

Section 8(e) of the Toxic Substances Control Act (TSCA) requires U.S. chemical manufacturers, importers, processors and distributors to notify EPA within 30 calendar days of new, unpublished information on their chemicals that may lead to a conclusion of substantial risk to human health or to the environment. This data source collects these Section 8(e) notices as well as voluntary submissions (FYI submissions) and organizes them by date.

Tags: environment, environmental media topics, health risks, human health, non-point sources of water pollution, pollutants & contaminants, species, substances, united states, water, water pollutants, water pollution
Organization: U.S. Environmental Protection Agency
Modeled change in the average Feddema Moisture Index (multiplied by 1000) between 1951-1960 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 1951-1960 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
Scituate, Marshfield, and Cohasset (Massachusetts) sewage no-discharge zone, 2008, EPA HQ OWOW

This dataset details No Discharge Zones (NDZ) for Scituate, Marshfield, and Cohasset, 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, new hampshire, water
Organization: U.S. Environmental Protection Agency
High 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 HIGH marsh gain (value=1), lost (value=-1) and remaining (no change; value=0). 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
1:6000 Scale (6K) Quadrangles developed by USEPA to Support Reconnaissance, and Tactical and Strategic Planning for Emergency Responses and Homeland Security Events (Region 5 Extract)

Reference quads for emergency response reconnaissance developed for use by the US Environmental Protection Agency. Grid cells are based on densification of the USGS Quarterquad (1:12,000 scale or 12K) grids for the continental United States, Alaska, Hawaii and Puerto Rico and are roughly equivalent to 1:6000 scale (6K) quadrangles approximately 2 miles long on each side. Note: This file is a regional subset that has been extracted from a national file 6K quad file. Each regional extract includes a 20 mile buffer of tiles around each EPA Region. To access the national layer (size is greater than 80MB), go to https://edg.epa.gov/data/Public/OLEM/OLEM-OEM/6kquads_epa.zip.

Tags: disaster, emergency response, homeland security, il, in, mi, mn, oh, reference grid, response, spills, wi
Organization: U.S. Environmental Protection Agency
Modeled change in the average Feddema Moisture Index (multiplied by 1000) between modeled 2041-2070 (MRI-CGCM3 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 (MRI-CGCM3 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
Map of Landfill Gas Energy Projects and Landfills in LMOP Database for Homepage

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 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
U.S. EPA Metadata Editor (EME)

The EPA Metadata Editor (EME) allows users to create geospatial metadata that meets EPA's requirements. The tool has been developed as a desktop application that works as a standalone tool or as an extension to ESRI's ArcCatalog. It provides a customized editing environment that allows users to select EPA defaults within the user interface, while also allowing users the flexibility to specify their own defaults.

Tags: alabama, alaska, american samoa, arizona, arkansas, california, colorado, connecticut, conterminous united states (conus), delaware, district of columbia, environment, florida, georgia, hawaii, idaho, illinois, indiana, iowa, kansas, kentucky, louisiana, maine, management, 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, puerto rico, rhode island, south carolina, south dakota, tennessee, texas, united states (us) (usa), utah, vermont, virgin islands, virginia, washington, washington dc, west virginia, wisconsin, wyoming
Organization: U.S. Environmental Protection Agency
Surface Water Sampling Data for BP Spill/Deepwater Horizon

The Deepwater Horizon oil spill (also referred to as the BP oil spill) began on 20 April 2010 in the Gulf of Mexico on the BP-operated Macondo Prospect. Following the explosion and sinking of the Deepwater Horizon oil rig, a sea-floor oil gusher flowed for 87 days, until it was capped on 15 July 2010. In response to the BP oil spill, EPA sampled air, water, sediment, and waste generated by the cleanup operations.

Tags: alabama, cleanup, contaminant, disaster, emergency, environment, florida, hazards, health, human, louisiana, mississippi, response, surface water, toxics
Organization: U.S. Environmental Protection Agency
UST/LUST Program Information

This asset includes an inventory of programmatic information, including policies and guidance, training course materials and Leaking Underground Storage Tanks (LUST) Trust Fund information. This documentation is used by states, territories, tribes and private parties to implement the Underground Storage Tank (UST) program. It also includes analysis of the laws and regulations that govern USTs, and policies and guidance for implementing the UST program developed by EPA in consultation with state and territorial UST programs.

Tags: environment, leaking underground storage tank, lust, lust trust fund., underground storage tank, united states, ust
Organization: U.S. Environmental Protection Agency
Modeled change in the average Feddema Moisture Index (multiplied by 1000) between 1921-1950 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
Mystic River and Pine Island (Connecticut) sewage no-discharge zone, 2004, 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, connecticut, downloadable data, environment, marine, water
Organization: U.S. Environmental Protection Agency