This GIS dataset contains polygons depicting U.S. EPA Superfund Site boundaries. Site boundaries are polygons representing the footprint of a whole site, defined for purposes of this effort as the sum of all of the Operable Units and the current understanding of the full extent of contamination. For Federal Facility sites, the total site polygon may be the Facility boundary. As site investigation and remediation progress, OUs may be added, modified or refined, and the total site polygon should be updated accordingly. Superfund features are managed by regional teams of geospatial professionals and remedial program managers (RPMs), and SEGS harvests regional data on a weekly basis to refresh the national dataset and feature services.

This water flow network dataset is a route feature class rather than a simple polyline. The geometry is generated by merging the river lines of individual geometric network datasets. This layer contains an integrated flow network that includes known flow connections through rivers, lakes and groundwater aquifers. In places where the network is depicted flowing through lakes or through underground channels, the flow channels are schematic only, and do not represent the precise location of these flow channels. The appropriate Geological Survey Ireland data sets should be consulted where underground flows or connections are known or suspected.River Network RoutesMetadata:http://gis.epa.ie/geonetwork/srv/eng/catalog.search#/metadata/c4043e19-38ec-4120-a588-8cd01ac94a9cDownload Data: https://gis.epa.ie/GetData/DownloadWater / Water Framework Directive - General Information- Catchments Data Package - October 2021orWater / Water Framework Directive - RIVERS AND LAKES - OSI Rivers and Lakes - 06/02/2020Lake SegmentsMetadata:http://gis.epa.ie/geonetwork/srv/eng/catalog.search#/metadata/c4040e19-38ec-4120-a588-8cd01ac94a9cDownload Data: https://gis.epa.ie/GetData/DownloadWater / Water Framework Directive - RIVERS AND LAKES - OSI Rivers and Lakes - 06/02/2020

Information on sole source aquifers (SSAs) is widely used in assessments under the National Environmental Policy Act and at the state and local level. A national layer, including all available SSA coverages, is available for use in GIS. This layer includes the GIS polygons for SSAs. In addition to single SSA designated area polygons, some EPA regional offices have delineated GIS layers for: * Streamflow zones * Aquifer recharge areas * Other features at the land surface important for SSA designations. The SSA geospatial data set is available through Data.gov for use by government agencies, private organizations, and the public.

This is a dataset of the air quality zones listed on https://www.epa.ie/air/quality/zones/.

The zones were defined initially in the Air Quality Regulations (SI 180 of 2011). The EPA reviews the zones regularly and amends when necessary. For more information on this dataset please go to https://gis.epa.ie/geonetwork/srv/eng/catalog.search#/metadata/17b5be96-5b85-4f01-902e-f0e754b5ce7f

This Map Image depicts the Level III and Level IV Ecoregions throughout the United States. The purpose of this map is to show Ecoregions that denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. The intended audience is for the general public. There are two grouped layers in this map, Level III Ecoregions and Level IV Ecoregions. The first layer represents Level III Omernik Ecoregions. At Level III, the continental United States contains 104 regions whereas the conterminous United States has 84 (US Environmental Protection Agency, 2005). Level IV ecoregions are further subdivisions of Level III ecoregions. The second grouped layer represents Level IV Omernik Ecoregions. Level IV ecoregions are intended for large geographic extents (i.e. states, multiple counties, or river basins). Compilation of the level IV maps have been performed at 1:250,000 scale. For more information about Omernik ecoregions or to download ecoregion maps and GIS data, go to:http://www.epa.gov/wed/pages/ecoregions.htm. For additional information about this mapping service or to obtain the ecoregion data used to create the service, contact US EPA GIS Agency Central Support, esrisupport@epa.gov.

This is a points dataset of the location of emission site facilities, including IPC (Integrated Pollution Control), IE (Industrial Emission) and Waste facilities that are currently licensed by the EPA.

To improve public health and the environment, the United States Environmental Protection Agency (USEPA) collects information about facilities, sites, or places subject to environmental regulation or of environmental interest. Through the Geospatial Data Download Service, the public is now able to download the EPA Geodata shapefile containing facility and site information from EPA's national program systems. The file is Internet accessible from the Envirofacts Web site (https://www.epa.gov/enviro). The data may be used with geospatial mapping applications. (Note: The shapefile omits facilities without latitude/longitude coordinates.) The EPA Geospatial Data contains the name, location (latitude/longitude), and EPA program information about specific facilities and sites. In addition, the file contains a Uniform Resource Locator (URL), which allows mapping applications to present an option to users to access additional EPA data resources on a specific facility or site.

This dataset shows the direction of river flow realted to the EPA/OSi river network dataset.

For more information on this dataset please go to https://gis.epa.ie/geonetwork/srv/eng/catalog.search#/metadata/5f1999f0-37e4-4c14-acf8-3b42bfdae894The Teagasc Subsoils map classifies the subsoils of Ireland into 16 themes, using digital stereo photogrammetry supported by field work. Produced by Teagasc (Kinsealy), EPA and GSI.The dataset was created using a compilation of existing data, photogrammetric mapping, field studies. Soil survey maps, Quaternary maps and published and unpublished reports were complied and boundaries between sediment types are interpreted and mapped using photo-interpretation in a soft copy photogrammetric workstation with digital stereo-pairs of black and white photography acquired at a scale of 1:40,000. Fieldwork was carried out, around the flanks of large bogs delineate the exact boundary between peat and mineral soils but predominantly within the boundary zones of differencing subsoils. Areas mapped during the photogrammetric analysis were also checked during the fieldwork. Methods adopted during field mapping include reconnaissance mapping, auger sampling, trenching, digital photography and GPS data recording. Aerial photography datasets involved in mapping were acquired in 1995 while field data collected was collected during 1998-2005.The classification of subsoils is based on the classification used by the Geological Survey of Ireland Quaternary Section in mapping Quaternary sediment types.This classification has been altered only to ensure utility specific to the requirements of the EPA Soil and Subsoil Mapping Project. (Please refer to "Teagasc-EPA Soils and Subsoils Mapping Project - Final Report" for more information. Available for download at https://gis.epa.ie)

CDFW BIOS GIS Dataset, Contact: Laura Ryley, Description: This dataset offers a link to the California segment of the Surf Your Watershed service offered by the United States Environmental Protection Agency (EPA). Surf Your Watershed is a service to help locate, use, and share watershed environmental information. A driving force behind Surf Your Watershed is to get environmental information into the hands of active citizens and groups to help those people connect and share information, ideas, and assistance.

The Valley Identification Tool web mapping application includes Valleys (locations that are lower than surrounding areas, derived from USGS 30m DEM), population in valleys (reallocated within Census block groups), and households heated primarily with wood (American Community Survey, most recent at time of processing), which are summarized by Census County Subdivision. Other layers included in the Valley Identification Tool web map include 2017 National Emissions Inventory (NEI) facilities, Tribal areas, and air monitors data. Created by US EPA Region 1 GIS Center; and implemented in EPA Regions 2, 3 and 9 in 2022 and Region 10 in 2024 by regional GIS staff, US EPA Office of Mission Support (OMS).

For more information on this dataset please go to https://gis.epa.ie/geonetwork/srv/eng/catalog.search#/metadata/2cd0c5e9-83b2-49a9-8c3e-79675ffd18bfSIS SOIL:The new Irish Soil Information System concludes a 5 year programme, supported by the Irish Environmental Protection Agency (STRIVE Research Programme 2007-2013) and Teagasc, to develop a new 1:250,000 scale national soil map (https://soils.teagasc.ie). The Irish Soil Information System adopted a unique methodology combining digital soil mapping techniques with traditional soil survey application. Developing earlier work conducted by An Foras Talúntais, the project generated soil-landscape models for previously surveyed counties. These soil-landscape (‘soilscape’) models formed the basis for training statistical ‘inference engines’ for predicting soil mapping units, checked during field survey. 213 soil series are identified, each with differing characteristics, having contrasting environmental and agronomic responses. Properties were recorded in a database able to satisfy national and EU policy requirements. The Irish soil map and related soil property data will also serve public interest, providing the means to learn online about Irish soil resources. Use the Symbology layer file 'SOIL_SISNationalSoil.lyr' based on Value Field 'Association_Unit'. SIS SOIL DRAINAGE:In Ireland, soil drainage category is considered to have a predominant influence on soil processes (Schulte et al., 2012). The maritime climate of Ireland drives wet soil conditions, such that excess soil moisture in combination with heavy textured soils is considered a key constraint in relation to achieving productivity and environmental targets. Both soil moisture content and the rate at which water drains from the soil are critical indicators of soil physical quality and the overall functional capacity of soil. Therefore, a natural extension to the Irish Soil Information System included the development of an indicative soil drainage map for Ireland. The soil subgroup map was used to develop the indicative drainage map, based on diagnostic criteria relating to the subgroup categorization. Use the Symbology layer file 'SOIL_SISSoilDrainage.lyr' based on Value Field 'Drainage'. SIS SOIL DEPTH: Soil depth is a measure of the thickness of the soil cover and reflects the relationship between parent material and length of soil forming processes. Soil depth determines the potential rooting depth of plants and any restrictions within the soil that may hinder rooting depth. Plants derive nearly 80 per cent of their water needs from the upper part of the soil solum, i.e. where the root system is denser. The rooting depths depend on plant physiology, type of soil and water availability. Generally, vegetables (beans, tomatoes, potatoes, parsnip, carrots, leek, broccoli, etc.) are shallow rooted, about 50–60 cm; fruit trees and some other plants have medium rooting depths, 70–120 cm and other crops such as barley, wheat, oats, and maize may have deeper roots. Furthermore, rooting depths vary according to the age of the plants. The exact soil depth is difficult to define accurately due to its high variability across the landscape. The effective soil depth can be reduced by the presence of bedrock or impermeable layers. Use the Symbology layer file 'SOIL_SISSoilDepth.lyr' based on Valued Field 'Depth'. SIS SOIL TEXTURE:Soil texture is an important soil characteristic that influences processes such as water infiltration rates, rootability, gas exchanges, leaching, chemical activity, susceptibility to erosion and water holding capacity. The soil textural class is determined by the percentage of sand, silt, and clay. Soil texture also influences how much water is available to the plant; clay soils have a greater water holding capacity than sandy soils. Use the Symbology layer file 'SOIL_SISSoilTexture.lyr' based on Value Field 'Texture'. SIS SOIL SOC:In the previous national soil survey conducted by An Foras Taluntais, 14 counties were described in detail with soil profile descriptions provided for the representative soil series found within a county. Soil samples were taken at each soil horizon to a depth of 1 meter and analyses performed for a range of measurements, including soil organic carbon, texture, cation exchange capacity, pH; however in most cases no bulk density measurements were taken. This meant that while soil organic carbon concentrations were available this could not be related to a stock for a given soil series. In 2012/2013, 246 profile pits were sampled and analysed as part of the Irish Soil Information System project to fill in gaps in the description of representative profile data for Ireland. Use the Symbology layer file 'SOIL_SISSoilSOC.lyr' based on Value Field 'SOC'.

This map shows a prediction of the number of homes in a given grid square that exceed the national Reference Level. Grid squares in which the predicted percentage of homes is 10% or greater are called High Radon Areas.For more information on this dataset please go to https://gis.epa.ie/geonetwork/srv/eng/catalog.search#/metadata/3b2e9226-c40a-44c9-b4f0-7234c0810769

This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (http://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (http://enviroatlas.epa.gov/EnviroAtlas/DataFactSheets).

This is a points dataset of the locations of current and past air monitoring sites managed within the EPA's National Ambient Air Quality Network.

READ is EPA's authoritative source for information about Agency information resources, including applications/systems, datasets and models. READ is one component of the System of Registries (SoR).

Meter-scale Urban Land Cover (MULC), a unique, high resolution (one meter2 per pixel) land cover dataset, has been developed for 30 US communities for the United States Environmental Protection Agency (US EPA) EnviroAtlas. MULC data categorize the landscape into these land cover classes: impervious surface, tree, grass-herbaceous, shrub, soil-barren, water, wetland and agriculture. MULC data are used to calculate approximately 100 EnviroAtlas metrics that serve as indicators of nature’s benefits (ecosystem goods and services). MULC, a dataset for which development is ongoing, is produced by multiple classification methods using aerial photo and LiDAR datasets. The mean overall fuzzy accuracy across the EnviroAtlas communities is 88% and mean Kappa coefficient is 0.84. MULC is available in EnviroAtlas via web browser, web map service (WMS) in the user’s geographic information system (GIS), and as downloadable data at EPA Environmental Data Gateway. Fact Sheets and metadata for each MULC Community are available through EnviroAtlas. Some MULC applications include mapping green and grey infrastructure, connecting land cover with socioeconomic/demographic variables, street tree planting, urban heat island analysis, mosquito habitat risk mapping and bikeway planning. This article provides practical guidance for using MULC effectively and developing similar high resolution (HR) land cover data. This dataset is associated with the following publication: Pilant, D., K. Endres, D. Rosenbaum, and G. Gundersen. US EPA EnviroAtlas Meter-Scale Urban Land Cover (MULC): 1-m Pixel Land Cover Class Definitions and Guidance. Remote Sensing. MDPI AG, Basel, SWITZERLAND, 12(12): 1909, (2020).

This table lists anaerobic digestion (AD) facilities associated with the Food Waste Recipient Count by Zip Code GIS dataset. This table identifies operational AD facilities that could potentially accept excess food for beneficial use. The data was compiled from lists maintained by US EPA staff and the AgSTAR program, and through data available at www.biogasdata.org. Facilities included in this database appear to be operational as of 2015 unless otherwise noted in the metadata, though not all facilities presently accept food. This dataset contains 1,381 facilities.

This water flow network dataset is a route feature class rather than a simple polyline. The geometry is generated by merging the river lines of individual geometric network datasets. This layer contains an integrated flow network that includes known flow connections through rivers, lakes and groundwater aquifers. In places where the network is depicted flowing through lakes or through underground channels, the flow channels are schematic only, and do not represent the precise location of these flow channels. The appropriate Geological Survey Ireland data sets should be consulted where underground flows or connections are known or suspected.This dataset is provided by the Environmental Protection Agency (EPA). For more information please see https://gis.epa.ie/geonetwork/srv/eng/catalog.search#/metadata/c4043e19-38ec-4120-a588-8cd01ac94a9c

CDFW BIOS GIS Dataset, Contact: Wendy Reid, Description: This dataset contains a portion of the 2002 303(d) list of impaired waterbodies in California. The lakes, and other polygon shapefiles, for each Regional Water Quality Control Board were downloaded from the State Water Resources Control Board website, merged, simplified and new fields added. The majority of records have a link to a US EPA website containing more detailed pollutant information for each waterbody.