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TwitterThis data set provides a generalized outline of the 72 counties in Wisconsin. The data is derived from 1:24,000-scale sources.
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TwitterThe 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).
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TwitterThis 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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TwitterSensitive Areas of Lakes are designated as Critical Habitat Areas in Wisconsin. These areas comprise of aquatic vegetation identified by the Wisconsin Department of Natural Resources as offering critical or unique fish and wildlife habitat, including seasonal or life stage requirements, or offering water quality or erosion control benefits to the body of water. Wisconsin law mandates special protections for these critical habitats. Critical Habitat Designation is a program that recognizes those areas and maps them so that everyone knows which areas are most vulnerable to impacts from human activity.
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TwitterA 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.
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TwitterThis 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 contains only Interstate Highway, US Highways, and 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
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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
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TwitterThese 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...
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TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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Abstract: Annual average wind resource potential for Wisconsin at a 50 meter height.
Purpose: Provide information on the wind resource development potential in Wisconsin.
Supplemental Information: This data set has been validated by NREL and wind energy meteorological consultants. However, the data is not suitable for micro-siting potential development projects.
Other Citation Details: This map has been validated with available surface data by NREL and wind energy meteorological consultants.
This GIS data was developed by the National Renewable Energy Laboratory ("NREL"), which is operated by the Alliance for Sustainable Energy, LLC for the U.S. Department of Energy ("DOE"). The user is granted the right, without any fee or cost, to use, copy, modify, alter, enhance and distribute this data for any purpose whatsoever, provided that this entire notice appears in all copies of the data. Further, the user of this data agrees to credit NREL in any publications or software that incorporate or use the data.
Access to and use of the GIS data shall further impose the following obligations on the User. The names DOE/NREL may not be used in any advertising or publicity to endorse or promote any product or commercial entity using or incorporating the GIS data unless specific written authorization is obtained from DOE/NREL. The User also understands that DOE/NREL shall not be obligated to provide updates, support, consulting, training or assistance of any kind whatsoever with regard to the use of the GIS data.
THE GIS DATA IS PROVIDED "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL DOE/NREL BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER, INCLUDING BUT NOT LIMITED TO CLAIMS ASSOCIATED WITH THE LOSS OF DATA OR PROFITS, WHICH MAY RESULT FROM AN ACTION IN CONTRACT, NEGLIGENCE OR OTHER TORTIOUS CLAIM THAT ARISES OUT OF OR IN CONNECTION WITH THE ACCESS OR USE OF THE GIS DATA.
The User acknowledges that access to the GIS data is subject to U.S. Export laws and regulations and any use or transfer of the GIS data must be authorized under those regulations. The User shall not use, distribute, transfer, or transmit GIS data or any products incorporating the GIS data except in compliance with U.S. export regulations. If requested by DOE/NREL, the User agrees to sign written assurances and other export-related documentation as may be required to comply with U.S. export regulations.
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This data is intended to provide physical locations and attributes for active child care providers that are licensed and certified by the state of Wisconsin, Department of Children and Families (DCF). More information about the attributes within the data table can be found at the Wisconsin Department of Children and Families website: https://dcf.wisconsin.gov/Questions or concerns about this data can be directed to: dhs_gis@dhs.wisconsin.gov
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TwitterWisconsin's Watershed data layer contains 330 delineated watersheds created initially for the Priority Watershed Program. Basins and watersheds are interconnected areas of land draining from surrounding ridge tops to a common point such as a lake or confluence with a neighboring land area.These watersheds were originally delineated by Wisconsin DNR for the Nonpoint Source Water Pollution Abatement Program, also generally known as the Priority Watershed Program. They generally indicate areas that drain into a common river system or lake, but may also be based on DNR basin management criteria.
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TwitterThese 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 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://inport.nmfs.noaa.gov/inport/item/39808
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TwitterThese data provide an accurate high-resolution shoreline compiled from imagery of Port of Milwaukee, 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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TwitterDepth-to-bedrock maps show the thickness of unconsolidated materials overlying bedrock. These maps provide a key link between the underlying geology, groundwater flow, and land use and are important in guiding activities such as permitting, bridge construction, and the land application of waste products in sensitive areas. Given their role in guiding decision making, the production of accurate depth-to-bedrock maps is critical. This report describes techniques for making the maps, identifies sources of data and evaluates their strengths and weaknesses, describes available tools and best practices for using them, and explains the concept of uncertainty—how it’s measured, its importance in decision making, and ways of displaying it.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Wisconsin building outline dataset.
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TwitterThese data provide an accurate high-resolution shoreline compiled from imagery of LAKE SUPERIOR, LUTSEN TO 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
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TwitterLink to Wisconsin Statewide Parcel Map Initiative data download page on the Wisconsin State Cartographer's website.
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TwitterThese data provide an accurate high-resolution shoreline compiled from imagery of SHEBOYGAN, 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...
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This dataset contains boundaries for the Wisconsin DHS Area Administration regions. Area Administration Regions are a function of the Wisconsin Department of Health Services to be used for reference and resource allocation of WI DHS Area Administration resources and programs.For more information please visit the Wisconsin Department of Health Services website: https://www.dhs.wisconsin.gov/areaadmin/index.htm
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This dataset contains locations and attributes of trauma centers 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/trauma/index.htm
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TwitterThis data set provides a generalized outline of the 72 counties in Wisconsin. The data is derived from 1:24,000-scale sources.