10,000+ results returned
-
Title: Area of Concern, Great Lakes Region 2019
Contributors:- Polygon data
- 2019
Summary: In an effort to clean up the most polluted areas in the Great Lakes, the United States and Canada committed to working with State and Provincial governments to develop Remedial Action Plans for designated Areas of Concern (AOC) in the Great Lakes Basin. Currently there are 26 AOCs wholly within the United States and five that are shared by both the United States and Canada. This shapefile provides a polygon boundary for the Waukegan Harbor Area of Concern and the Expanded Study Area in Waukegan, Illinois. In developing the polygon boundary, the description of each AOC provided by EPA was used as a starting point for collecting basemap information to aid in the delineation of each boundary. Using Digital Orthophotography, Digital Raster Graphics, and Geographic Information Systems (GIS) layers such as watersheds, and water bodies where available, each polygon was then digitized and reviewed by representatives of both EPA and the Illinois Environmental Protection Agency for agreement. Sources of digital information used in the development of the AOCs include the USGS, the Microsoft Corporation Terraserver (http://terraserver.homeadvisor.msn.com/default.aspx), and the Illinois Natural Resources Geospatial Data Clearinghouse (http://www.isgs.uiuc.edu/nsdihome/webdocs/sitemap.html).
-
Title: EPA 2014 Toxics Release Inventory - Oregon
Contributors:- Point data
- 2014
Summary: The Toxics Release Inventory (TRI) tracks the management of certain toxic chemicals that may pose a threat to human health and the environment. Certain industrial facilities in the U.S. must report annually how much of each chemical is recycled, combusted for energy recovery, treated for destruction, and disposed of or otherwise released on- and off-site. This information is collectively referred to as production-related waste managed. This shapefile represent releases of TRI-covered chemicals to the environment in Oregon. A "release" of a chemical means that it is emitted to the air or water, placed in some type of land disposal, or transferred off-site for disposal or release.
-
Title: Commercial Waterway Network, Great Lakes Region 2019
Contributors:- Polygon data
- 2019
Summary: The National Waterway Network is comprised of a link database and a node database. Links are line strings, which consist of beginning and end points (nodes) with intermediate vertices (shape points). Links represent either actual shipping lanes (i.e., channels, Intracoastal Waterways, sealanes, rivers) or serve as representative paths in open water (where no defined shipping paths exist). Nodes may represent physical entities such as river confluence's, ports/facilities, and intermodal terminals, USACE nodes, or may be inserted for analytical purposes (i.e., to facilitate routing). The NWN databases were developed by Oak Ridge National Laboratory (ORNL) and Vanderbilt University, with input from the National Waterway GIS Design Committee (NWGISDC). The NWGISDC contains members from several agencies, including the U.S. Army Corps of Engineers (USACE), USDOT Bureau of Transportation Statistics (BTS), Volpe National Transportation Systems Center (VNTSC), Maritime Administration (MARAD), Military Traffic Management Command (MTMC), Tennessee Valley Authority (TVA), U.S. Environmental Protection Agency (EPA), U.S. Bureau of Census, U.S. Coast Guard, and the Federal Railroad Administration (FRA). Several data sources were used to create the network. Therefore, network links vary in scale. The majority of the inland links are at 1:100,000 scale(derived from 1:100,000 scale Digital Line Graph files). Off-shore links were derived from variable scale NOAA Navigational Charts. Therefore, the off-shore links vary in scale, with larger scale NOAA charts used in harbor/bay/port areas, and smaller scale NOAA charts used in open waters. All links in the USACE (non geo-coded) Waterway Link Network are represented in the NWN. The USACE network was used as a base for the NWN; 'USACE links' form a contiguous subset within the NWN, and can be extracted through queries on the 'link number' (linknum) field in the link database (where linknum<1000000). Additional (non- USACE) links and nodes were added to the USACE network to more realistically represent shipping patterns. Approximately 200 USACE ports are geo-coded in the node database, including the top 150 ports. ORNL initially developed databases for the inland waterways; Vanderbilt constructed databases for the off-shore waterways. ORNL then merged the inland and off-shore databases to form a continuous national network. Vanderbilt revised the inland waterway network through use of USGS Digital Line Graph (DLG) files. Vanderbilt, ORNL, and the U.S. Army Corps of Engineers Waterborne Commerce Statistics Center (WCSC) are continuously enhancing and performing validation tasks to improve the accuracy of the NWN.
-
Title: Fish Spawning Locations, Great Lakes Region 2019
Contributors:- Point data
- 2019
Summary: The atlas contains information on all of the commercially and recreationally important species that use the tributaries, littoral and open-water areas of the Great Lakes as spawning and nursery habitats. Close to 9500 geo-referenced data records (occurrences of fish species) were imported into ArcView GIS. The 139 fish taxa reported in the Atlas had to be grouped into fewer broad categories to produce meaningful distribution maps. We chose three functional classification schemes. Jude and Pappas (1992) used Correspondence Analysis to partition fish species associated with the open water of each of the five Great Lakes and nine coastal wetlands. Three species complexes were suggested: a Great Lakes taxocene; a transitional taxocene, which utilized open water, near-shore, and wetlands; and a wetland taxocene. We chose this as one of the classification schemes because we are particularly interested in identifying the distribution pattern of fish with coastal wetlands; for clarity sake, we have renamed these taxocenes coastal, intermediate and open-water, respectively. For comparison, we also used Coker et al.??s (2001) classification based on temperature preferenda (5 classes) and Balon??s (1975) reproductive guild classification (32 guilds).
-
Title: Sea Lamprey Larval Max Extent, Great Lakes Region 2019
Contributors:- Polygon data
- 2019
Summary: Lines were generated using survey point data as input for geometric network analysis along the NHD hydro network.
-
Title: Shorelines, Lake Michigan 2018
Contributors:- Polygon data
- 2018
Summary: U.S. States (Detailed) provides detailed boundaries that are consistent with the tract and county (detailed) data sets and are effective at regional and state levels.
-
Title: Cold Water Threat, Great Lakes Region 2017
Contributors:- Polygon data
- 2017
Summary: Cold Water Resource Threat: A measure of vulnerability of Great Lakes watersheds to thermal loading, based on the most influential factors that shape thermal conditions: mean annual air temperature, groundwater discharge potential, surface water extent, and riparian forest cover (weighted and used to develop an environmental index of aquatic resource sensitivity or vulnerability to thermal loadings).The product of the thermal vulnerability and the miles of coldwater streams in a given watershed (mean July temperature of 75 received a score of 1.00. The scale then breaks down as follows: 0.00 = High Threat, 0.33 = Moderate Threat, 0.66 = Low Threat, 1.00 = Extremely Low Threat
-
Title: Commercial Waterway Network, Great Lakes Region 2017
Contributors:- Polygon data
- 2017
Summary: The National Waterway Network is comprised of a link database and a node database. Links are line strings, which consist of beginning and end points (nodes) with intermediate vertices (shape points). Links represent either actual shipping lanes (i.e., channels, Intracoastal Waterways, sealanes, rivers) or serve as representative paths in open water (where no defined shipping paths exist). Nodes may represent physical entities such as river confluence's, ports/facilities, and intermodal terminals, USACE nodes, or may be inserted for analytical purposes (i.e., to facilitate routing). The NWN databases were developed by Oak Ridge National Laboratory (ORNL) and Vanderbilt University, with input from the National Waterway GIS Design Committee (NWGISDC). The NWGISDC contains members from several agencies, including the U.S. Army Corps of Engineers (USACE), USDOT Bureau of Transportation Statistics (BTS), Volpe National Transportation Systems Center (VNTSC), Maritime Administration (MARAD), Military Traffic Management Command (MTMC), Tennessee Valley Authority (TVA), U.S. Environmental Protection Agency (EPA), U.S. Bureau of Census, U.S. Coast Guard, and the Federal Railroad Administration (FRA). Several data sources were used to create the network. Therefore, network links vary in scale. The majority of the inland links are at 1:100,000 scale(derived from 1:100,000 scale Digital Line Graph files). Off-shore links were derived from variable scale NOAA Navigational Charts. Therefore, the off-shore links vary in scale, with larger scale NOAA charts used in harbor/bay/port areas, and smaller scale NOAA charts used in open waters. All links in the USACE (non geo-coded) Waterway Link Network are represented in the NWN. The USACE network was used as a base for the NWN; 'USACE links' form a contiguous subset within the NWN, and can be extracted through queries on the 'link number' (linknum) field in the link database (where linknum
-
Title: Fish Spawning Locations, Great Lakes Region 2017
Contributors:- Point data
- 2017
Summary: The atlas contains information on all of the commercially and recreationally important species that use the tributaries, littoral and open-water areas of the Great Lakes as spawning and nursery habitats. Close to 9500 geo-referenced data records (occurrences of fish species) were imported into ArcView GIS. The 139 fish taxa reported in the Atlas had to be grouped into fewer broad categories to produce meaningful distribution maps. We chose three functional classification schemes. Jude and Pappas (1992) used Correspondence Analysis to partition fish species associated with the open water of each of the five Great Lakes and nine coastal wetlands. Three species complexes were suggested: a Great Lakes taxocene; a transitional taxocene, which utilized open water, near-shore, and wetlands; and a wetland taxocene. We chose this as one of the classification schemes because we are particularly interested in identifying the distribution pattern of fish with coastal wetlands; for clarity sake, we have renamed these taxocenes coastal, intermediate and open-water, respectively. For comparison, we also used Coker et al.'s (2001) classification based on temperature preferenda (5 classes) and Balon's (1975) reproductive guild classification (32 guilds).
-
Title: Sea Lamprey Larval Max Extent, Great Lakes Region 2017
Contributors:- Polygon data
- 2017
Summary: A layer indicating the farthest historic upstream observation of sea lamprey larvae based on surveys conducted by the Larval Assessment Task Force. Lines were generated using survey point data as input for geometric network analysis along the NHD hydro network.
-
Title: Bird Survey Grid, Great Lakes Region 2015
Contributors:- Polygon data
- 2015
Summary: This dataset was developed as part of a two-phase project by the Great Lakes Commission and collaborators, entitled Monitoring and Mapping Avian Resources Over Selected Areas of the Great Lakes and Outreach to Support Related Resource Management (2012-2014). This project was funded by the US Fish and Wildlife Service. Visual aerial surveys for pelagic waterbirds were conducted over two fall and two spring migration seasons, with several additional surveys occurring during the winter months. Surveyors included: Biodiversity Research Institute (eastern Lake Erie, 2013-2014); Michigan Department of Natural Resources and Michigan State University (Lake St. Clair, western Lake Erie, and Detroit River, 2012-2014); Michigan Natural Features Inventory (Lake Huron, 2012-2014); US Geological Survey (Lake Michigan, 2012-2014); and the Western Great Lakes Bird and Bat Observatory (Lake Michigan, 2012-2014).Caution should be employed when using or interpreting these data, for reasons that include the following:1. Data were collected by multiple surveyors using differing survey methods. Survey locations, frequency, transect density, altitude, plane speed, and other methodologies may have varied, and these variations have the potential to cause variations in detection or identification rates of waterbirds between surveys and between surveyors.2. Many surveys did not include on-transect effort information (for example, GPS transects of survey effort, to enable clear identification of areas that were surveyed and where birds were not found). For surveys that did not include this information, approximate effort data were developed using idealized transects and observation locations, but this is a poor substitute for real effort data. The effort data associated with this dataset should be used with extreme caution, and it is recommended that they are not used for estimating bird densities.3. The majority of data do not include distance information, or include different distance bands between years or survey areas. This largely precludes the correction of counts to include estimates of animals that were present but not observed. As a result, these data cannot be used to estimate real or absolute abundance of pelagic waterbirds, but rather should only be used to develop estimates of relative abundance.4. Surveys were primarily conducted during fall and spring, and were designed to study open-water (pelagic) migratory waterbirds. These surveys did a poor job of capturing the presence of breeding birds and non-waterbirds, including passerines, shorebirds, and raptors.
-
Title: Shoreline Lake Michigan 2006
Contributors:- Line data
- 2006
Summary: This line data layer represents the shoreline of Lake Michigan in 2006. The dataset was originally published by the Great Lakes Information Network on December 12, 2006.[NOAA's Medium Resolution Digital Shoreline is a high-quality, general use digital vector dataset compiled from NOAA Nautical Charts, created by the Strategic Environmental Assessments Division of NOAA's Office of Ocean Resources, Conservation and Assessment. Nominal mapping scale is 1:70,000.]
-
Title: Bathymetry Lake Huron 2006
Contributors:- Line data
- 2006
Summary: This line data layer represents bathymetry for Lake Huron in 2006. The dataset was originally published by the Great Lakes Information Network on October 2, 2006.[A bathymetric layer for Lake Ontario.NOAA is engaged in a program to compile Great Lakes bathymetric data and make them readily available to the public, especially to the communities concerned with Great Lakes science, pollution, coastal erosion, response to climate changes, threats to lake ecosystems, and health of the fishing industry. This program is managed by NGDC and it relies on the cooperation of NOAA/Great Lakes Environmental Research Laboratory, NOAA/National Ocean Service, the Canadian Hydrographic Service, other agencies, and academic laboratories.Compilation of new bathymetry for the Great Lakes is an important part of this program, being carried out cooperatively between NOAA (NGDC and GLERL), and the Canadian Hydrographic Service. This new bathymetry provides a more detailed portrayal of lakefloor topography, and reveals some lakefloor features seen for the first time.]
-
Title: Bathymetry Lake Erie 2006
Contributors:- Line data
- 2006
Summary: This line data layer represents bathymetry for Lake Erie in 2006. The dataset was originally published by the Great Lakes Information Network on November 8, 2006.[A bathymetric layer for Lake ErieNOAA is engaged in a program to compile Great Lakes bathymetric data and make them readily available to the public, especially to the communities concerned with Great Lakes science, pollution, coastal erosion, response to climate changes, threats to lake ecosystems, and health of the fishing industry. This program is managed by NGDC and it relies on the cooperation of NOAA/Great Lakes Environmental Research Laboratory, NOAA/National Ocean Service, the Canadian Hydrographic Service, other agencies, and academic laboratories.Compilation of new bathymetry for the Great Lakes is an important part of this program, being carried out cooperatively between NOAA (NGDC and GLERL), and the Canadian Hydrographic Service. This new bathymetry provides a more detailed portrayal of lakefloor topography, and reveals some lakefloor features seen for the first time.]
-
Title: Bathymetry Lake Michigan 2006
Contributors:- Line data
- 2006
Summary: This line data layer represents bathymetry for Lake Michigan in 2006. The dataset was originally published by the Great Lakes Information Network on October 20, 2006.[NOAA is engaged in a program to compile Great Lakes bathymetric data and make them readily available to the public, especially to the communities concerned with Great Lakes science, pollution, coastal erosion, response to climate changes, threats to lake ecosystems, and health of the fishing industry. This program is managed by NGDC and it relies on the cooperation of NOAA/Great Lakes Environmental Research Laboratory, NOAA/National Ocean Service, the Canadian Hydrographic Service, other agencies, and academic laboratories.Compilation of new bathymetry for the Great Lakes is an important part of this program, being carried out cooperatively between NOAA (NGDC and GLERL), and the Canadian Hydrographic Service]
-
Title: Bathymetry Lake Saint Clair 2006
Contributors:- Line data
- 2006
Summary: This line data layer represents bathymetry for Lake Saint Clair in 2006. The dataset was originally published by the Great Lakes Information Network on October 2, 2006.[A bathymetric layer for Lake Saint ClairNOAA is engaged in a program to compile Great Lakes bathymetric data and make them readily available to the public, especially to the communities concerned with Great Lakes science, pollution, coastal erosion, response to climate changes, threats to lake ecosystems, and health of the fishing industry. This program is managed by NGDC and it relies on the cooperation of NOAA/Great Lakes Environmental Research Laboratory, NOAA/National Ocean Service, the Canadian Hydrographic Service, other agencies, and academic laboratories.Compilation of new bathymetry for the Great Lakes is an important part of this program, being carried out cooperatively between NOAA (NGDC and GLERL), and the Canadian Hydrographic Service. This new bathymetry provides a more detailed portrayal of lakefloor topography, and reveals some lakefloor features seen for the first time.]
-
Title: Bathymetry Lake Superior 2006
Contributors:- Line data
- 2006
Summary: This line data layer represents bathymetry for Lake Superiorin 2006. The dataset was originally published by the Great Lakes Information Network on October 2, 2006.[A bathymetric layer for Lake Superior of unknown origin.]
-
Title: Bathymetry Lake Ontario 2006
Contributors:- Line data
- 2006
Summary: This line data layer represents bathymetry for Lake Ontario in 2006. The dataset was originally published by the Great Lakes Information Network on October 2, 2006.[A bathymetric layer for Lake OntarioNOAA is engaged in a program to compile Great Lakes bathymetric data and make them readily available to the public, especially to the communities concerned with Great Lakes science, pollution, coastal erosion, response to climate changes, threats to lake ecosystems, and health of the fishing industry. This program is managed by NGDC and it relies on the cooperation of NOAA/Great Lakes Environmental Research Laboratory, NOAA/National Ocean Service, the Canadian Hydrographic Service, other agencies, and academic laboratories.Compilation of new bathymetry for the Great Lakes is an important part of this program, being carried out cooperatively between NOAA (NGDC and GLERL), and the Canadian Hydrographic Service. This new bathymetry provides a more detailed portrayal of lakefloor topography, and reveals some lakefloor features seen for the first time.]
-
Title: Operational and Under Construction Landfill Gas (LFG) Energy Projects in the United States, Fall 2014
Contributors:- Point data
- 2015
Summary: This point dataset contains the latest version of the Landfill Methane Outreach Program (LMOP) database of operational and under construction landfill gas (LFG) energy projects; candidate municipal solid waste landfills having LFG energy potential; and information on additional landfills that could represent LFG energy opportunities. The information contained in the LMOP database is compiled from a variety of sources by the EPA, including annual voluntary submissions by LMOP Partners and industry publications. This layer is part of a collection of GIS data for renewable and electric energy in the U.S. This layer is from the 2014 Fall Quarter update (Update 1017). This shapefile can be used to locating and analyze existing and potential landfills sites in the United States for the purpose of methane recovery. Hart Energy Publishing (2015). Operational and Under Construction Landfill Gas (LFG) Energy Projects in the United States, Fall 2014. Hart Energy Publishing. Available at: http://purl.stanford.edu/zf989bc3066. This release is intended to replace all previous datasets. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
-
Title: Operational and Under Construction Landfill Gas (LFG) Energy Projects in the United States, Summer 2014
Contributors:- Point data
- 2014
Summary: This point dataset contains the latest version of the Landfill Methane Outreach Program (LMOP) database of operational and under construction landfill gas (LFG) energy projects; candidate municipal solid waste landfills having LFG energy potential; and information on additional landfills that could represent LFG energy opportunities. The information contained in the LMOP database is compiled from a variety of sources by the EPA, including annual voluntary submissions by LMOP Partners and industry publications. This layer is part of a collection of GIS data for renewable and electric energy in the U.S. This layer is from the 2014 Summer Quarter update (Update 1016). This shapefile can be used to locating and analyze existing and potential landfills sites in the United States for the purpose of methane recovery. Hart Energy Publishing (2016). Operational and Under Construction Landfill Gas (LFG) Energy Projects in the United States, Summer 2014. Hart Energy Publishing. Available at: http://purl.stanford.edu/nx612rb3674. This release is intended to replace all previous datasets. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.