Web map displaying Wisconsin DNR-produced Digital Elevation Model (DEM) and Hillshade image services, along with their index layer, in formats that are clickable and can be symbolized and filtered. This map can also be used as a starting point to create a new map. To open the web map from DNR's GIS Open Data Portal, click the View Metadata: link to the right of the description, then click Open in Map Viewer.
The Digital Geologic-GIS Map of Saint Croix National Riverway and Vicinity, Minnesota and Wisconsin is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (sacn_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (sacn_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (sacn_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (sacn_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (sacn_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (sacn_geology_metadata_faq.pdf). Please read the sacn_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Minnesota Geological Survey, Wisconsin Geological and Natural History Survey and National Park Service. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (sacn_geology_metadata.txt or sacn_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:250,000 and United States National Map Accuracy Standards features are within (horizontally) 127 meters or 416.7 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).
This data set is a polygon shapefile representing Public Land Survey System (PLSS) townships. The data are a subset of the Wisconsin DNR's 'Landnet' database, automated from 1:24,000-scale sources.*DNR staff have added an alpha field for the range direction field in this layer called DIR_ALPHA which uses W and E instead of numerical direction codes.
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This Coastal Barrier Resources System (CBRS) data set, produced by the U.S. Fish and Wildlife Service (Service), contains areas designated as undeveloped coastal barriers in accordance with the Coastal Barrier Resources Act (CBRA), 16 U.S.C. 3501 et seq., as amended. The boundaries used to create the polygons herein were compiled from the official John H. Chafee Coastal Barrier Resources System CBRS maps, which are accessible at the Service’s Headquarters office or https://www.fws.gov/program/coastal-barrier-resources-act/maps-and-data. These digital polygons are only representations of the CBRS boundaries shown on the official CBRS maps and are not to be considered authoritative. The Service is not responsible for any misuse or misinterpretation of this digital data set, including use of the data to determine eligibility for federal financial assistance such as federal flood insurance. As maps are revised, this data set will be updated with the new boundaries. CBRS boundaries viewed using the CBRS Mapper or the shapefile are subject to misrepresentations beyond the Service’s control, including misalignments of the boundaries with third party base layers and mis-projections of spatial data. The official CBRS map is the controlling document and should be consulted for all official determinations. Official determinations are recommended for all properties that are in close proximity (within 20 feet) of a CBRS boundary. For an official determination of whether or not an area or specific property is located within the CBRS, please follow the procedures found at https://www.fws.gov/service/coastal-barrier-resources-system-property-documentation. For any questions regarding the CBRS, please contact your local Service field office or email CBRA@fws.gov. Contact information for Service field offices can be found at https://www.fws.gov/our-facilities.Data Set Contact: U.S. Fish and Wildlife Service Natural Resource Program Center, GIS Team Lead, richard_easterbrook@fws.gov
This polygon feature class is a representation of Public Land Survey System (PLSS) quarter sections. The data are a subset of the Wisconsin DNR's 'Landnet' database, automated from 1:24,000-scale sources.*DNR staff have added an alpha field for the range direction field in this layer called DIR_ALPHA which uses W and E instead of numerical direction codes.
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License information was derived automatically
This data set is intended to be paired with the CBRS Polygons and CBRS Prohibitions data sets to illustrate the stated horizontal accuracy of the boundaries therein. Users should pair this data with the CBRS Polygons or CBRS Prohibitions data and an orthoimage when inspecting areas that are within or in close proximity to the CBRS. Users are advised to contact the Service for an official determination as to whether a particular property or structure that falls either partially or completely within the CBRS Buffer Zone is located within the CBRS. For more information, see the metadata for the CBRS Polygons and CBRS Prohibitions available at https://www.fws.gov/media/digital-coastal-barrier-resources-system-boundaries.
These data provide an accurate high-resolution shoreline compiled from imagery of Port of Green Bay, WI . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribut...
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This dataset contains boundaries for the Family Care Geographic Service Regions. Family Care is a Medicaid long-term care program for frail elders, and adults with physical, developmental, or intellectual disabilities. People in the program receive long-term care services to help them live in their own home whenever possible.For more information please visit the Wisconsin Department of Health Services website: https://www.dhs.wisconsin.gov/familycare/index.htm
A Groundwater Nitrate Decision Support Tool (GW-NDST) for wells in Wisconsin was developed to assist resource managers with assessing how legacy and possible future nitrate leaching rates, combined with groundwater lag times and potential denitrification, influence nitrate concentrations in wells (Juckem et al. 2024). The GW-NDST relies on several support models, including machine-learning models that require numerous GIS input files. This data release contains all GIS files required to run the GW-NDST and its machine-learning support models. The GIS files are packaged into three ZIP files (WI_County.zip, WT-ML.zip, and WI_Buff1km.zip) which are contained in this data release. Before running the GW-NDST, these ZIP files need to be downloaded and unzipped inside the "data_in/GIS/" subdirectory of the GW-NDST. The GW-NDST can be downloaded from the official software release on GitLab (https://doi.org/10.5066/P13ETB4Q). Further instructions for running the GW-NDST, and for acquiring requisite files, can be found in the software's readme file.
This data was downloaded from OpenStreetMap (OSM) roads data for Wisconsin from the OpenStreetMap's GeoFabrik website: http://www.geofabrik.de/data/download.html and reprojected to WTM 83/91. Several attributes were added to facilitate use of the OSM data in DNR basemaps. DNR has made edits to this data to correct errors where known and to hide road features within DNR Managed Lands that are not public roadways.This dataset does not contain Interstate Highway, US Highways, or State Highways.To report errors in this dataset, contact Bill Ceelen at William.Ceelen@wisconsin.gov. Additional information about OSM is available on the GeoFabrik site: http://www.geofabrik.de/geofabrik/openstreetmap.html
These data provide an accurate high-resolution shoreline compiled from imagery of MILWAUKEE HARBOR, WI . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808
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License information was derived automatically
This Coastal Barrier Resources System (CBRS) data set, produced by the U.S. Fish and Wildlife Service (Service), contains areas designated as undeveloped coastal barriers in accordance with the Coastal Barrier Resources Act (CBRA), as amended (16 U.S.C. 3501 et seq.). These digital polygons are representations of the CBRS boundaries shown on the official CBRS maps referenced in 16 U.S.C. 3503(a). Copies of the official CBRS maps are available for viewing at Service’s Headquarters office and are also available to view or download at https://www.fws.gov/cbra/maps/index.html. The boundaries used to create the polygons herein were compiled between 12/6/2013 and 8/16/2023 from the official CBRS maps. The boundaries of the CBRS Units in Connecticut, Massachusetts, Rhode Island, and the Long Island portion of New York, were digitized from the official paper maps according to the guidelines in a notice published in the Federal Register on August 29, 2013 (see the “Georeferencing and Boundary Interpretation” and “Boundary Transcription” sections of 78 FR 53467; available at https://www.federalregister.gov/d/2013-21167). In all other cases where the official map was created through digital methods, the digital boundary was used. CBRS boundaries viewed using the CBRS Mapper or shapefiles are subject to misrepresentations beyond the Service’s control, including misalignments of the boundaries with third party base layers and misprojections of spatial data. The Service is not responsible for any misuse or misinterpretation of this digital data set, including use of the data to determine eligibility for Federal funding or financial assistance. Users should pair these data with the CBRS Buffer Zone shapefile and an orthoimage when inspecting areas that are within or in close proximity to the CBRS. Properties or structures that fall partially or entirely within the buffer area may be within the CBRS, and an official determination from the Service is recommended. For an official determination of whether or not an area or specific property is located within the CBRS, please follow the procedures found at https://www.fws.gov/service/coastal-barrier-resources-system-property-documentation. The official CBRS map is the controlling document and should be consulted for all official determinations in close proximity (within 20 feet) of a CBRS boundary. For any questions regarding the CBRS, please contact your local Service field office or email CBRA@fws.gov. Contact information for Service field offices can be found at https://www.fws.gov/node/267216.
Web map displaying WI DNR's Wisconsin Leaf-Off Digital Orthophotography imagery layer along with an index layer. This map can be used to identify the year and resolution of each county's imagery in this image service, or as a starting point to create a new map. To open the web map from DNR's GIS Open Data Portal, click the View Metadata: link to the right of the description, then click Open in Map Viewer.*Note that this web map only contains DOPs that Wisconsin DNR has permission to display on a web map. Some counties may have newer DOPs.
This dataset represents the state of knowledge about the distribution of rocky substrate for the Southern California continental shelf. The dataset is derived from a map series of seven adjacent but descrete maps illustrating seafloor sediment and rock.
The purpose of this project was to create digital, GIS format versions of the Southern California continental shelf seafloor substrate maps originally produced by PS Associates of Cardiff, California for the Minerals Management Service in Reston, Verginia.
The original data was presented in hard copy format and depicted areas of "rock outcrop, hard-ground, or less than 1 meter of sediment overlaying." Areas identified as "rock" on the hard copy map were designated as "rock" in this dataset. In areas where no rock was identified, we designated this as "sediment". Note that this is liberal interpretation of the original map data. A more conservative and accurate interpretation involved using "no data" maps which indicated the areas in which no information on substrate type was gathered. Please see the "no_data" dataset that is part of this series.
Original map title: Isopach map of the post-Wisconsin sediment thickness data sources. California Outer Continental Shelf Archeaological Resource Study from Morro Bay to the Mexican Border. Prepared by P.S. Associates, Contract number 14-12-0001-30272, May 1, 1987. Map scale was 1:125,000. Used maps 1A, 2A, 3A, 4A, 5A.
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This dataset contains locations and attributes of rural health clinics licensed by the state of Wisconsin. The data is used for planning, management and analysis by Wisconsin Department of Health Services staff and by other government agencies.For more information please visit the Wisconsin Department of Health Services website: https://www.dhs.wisconsin.gov/regulations/rhc/introduction.htm
This data set provides a generalized outline of the 72 counties in Wisconsin. The data is derived from 1:24,000-scale sources.
These data provide an accurate high-resolution shoreline compiled from imagery of PORT OF DULUTH-SUPERIOR, MN-WI . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808
This data set contains the estimated Secchi depth (water clarity) measurements for 8645 Wisconsin lakes, derived from Landsat-5 and -7 satellite imagery acquired during the 1999-2001 time period. For details of the process used to create these data, see: Chipman, J. W., T. M. Lillesand, J. E. Schmaltz, J. E. Leale, and M. J. Nordheim. 2004. “Mapping Lake Water Clarity with Landsat Images in Wisconsin, USA.” Invited paper, Canadian Journal of Remote Sensing, Special Issue on Remote Sensing and Resource Management in Nearshore and Inland Waters, 30(1):1-7. Polygons for each lake were taken from the WDNR 1:24,000-scale Hydrography GIS data set (version 2). Several existing fields were deleted, and new ones were added.
These data were automated to provide an accurate high-resolution historical shoreline of Milwaukee Harbor to Lake Michigan, Wisconsin suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://www.fisheries.noaa.gov/inport/item/39808
Original Wisconsin Wetland Inventory maps were created using stereo-pair, 9”x9”, B/W (NIR) aerial photography flown at a scale of 1:20000 (1in=1667ft). Each photo covered four Public Land Survey System Sections with each section being approximately 1 square mile. Wetland delineations were drafted onto the photos using stereoscopes. The photos were scanned and the wetland information digitized into a GIS. Data mapped between 1988-2016. Visible below 1:95,000.Funded by the Wisconsin Coastal Management Program and the National Oceanic and Atmospheric Administration, Office for Coastal Management under the Coastal Zone Management Act, Grant #NA19NOS419008.
This layer should be used in conjunction with the following layers to get full coverage:
Wisconsin Wetland Inventory NWI Polygon Layer (LiDAR based mapping)Wisconsin Wetland Inventory Polygon Layer (stereo-pair mapping)Wisconsin Wetland Inventory Filled/Drained Point Layer (stereo-pair mapping)Wisconsin Wetland Inventory Point Layer (stereo-pair mapping)
For more information on Wisconsin DNR Wetland Mapping visit: https://dnr.wisconsin.gov/topic/Wetlands/inventory.html
For the Wisconsin Wetland Classification System used in the stereo-pair dataset visit: https://dnr.wisconsin.gov/sites/default/files/topic/Wetlands/WWI_Classification.pdf
Web map displaying Wisconsin DNR-produced Digital Elevation Model (DEM) and Hillshade image services, along with their index layer, in formats that are clickable and can be symbolized and filtered. This map can also be used as a starting point to create a new map. To open the web map from DNR's GIS Open Data Portal, click the View Metadata: link to the right of the description, then click Open in Map Viewer.