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).

Link to Wisconsin Statewide Parcel Map Initiative data download page on the Wisconsin State Cartographer's website.

THIS ITEM WILL BE UNDERGOING MAINTEANCE SOON TO UPGRADE TO VECTOR TILE BASEMAP LAYERS.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.

This data set provides a generalized outline of the 72 counties in Wisconsin. The data is derived from 1:24,000-scale sources.

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 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

This data set consists of an gzip archive of shapefiles for maps of a selection of 50 network service provider networks from around the world. The archive includes maps of both large service providers with a world-wide footprint and metro area fiber maps. In particular, the archive offers maps of 5 the tier-1 ISPs, 10 regional ISPs distributed around the US, 5 metro fiber maps from the US and the remaining 25 maps from ISPs in other countries (12 in Europe, 7 in Africa and 6 Asia). The maps are geocoded but obfuscated slightly so that the true positions of nodes (i.e., colocation centers) and links (fiber conduits) are not exactly accurate. The shapefiles can be visualized in standard Geographic Information Systems such as ESRI's ArcGIS.

This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer

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.

This 1:500,000 scale map of Wisconsin depicts sediment deposited by glaciers, streams, wind, and other processes during the Quaternary Period (2.58 million years ago to present). The map was made by compiling detailed Quaternary mapping and lithostratigraphic studies previously conducted by the WGNHS to generate consistent statewide Quaternary map units. This new compilation can be used to gain a broad understanding of surficial sediment across the state by both educational and scientific audiences. Published materials include a georeferenced map plate and GIS data in the geologic map schema (GeMS) format.

This layer was originally developed alongside the development of the Wisconsin Trails Network Plan Update GIS mapping application.

This layer displays Wisconsin network plan corridors, corridors of land as they were laid out in the 2001 Wisconsin Trails Network Plan. Network Plan corridors may be existing rail or utility corridors, roads and easements, or existing natural resource trail corridors such as the Ice Age National Scenic Trail. While these corridors may not currently be classified as trails, if they were converted to trails, they would serve to create an interconnect state trail network for recreation and transportation throughout Wisconsin. The presence of a corridor does not equate to existing plans to convert the corridor to a trail, nor to acquire this land without the applicable partners’ joint interest in doing so. The corridors in this layer feature information on the counties they run through, trails that have been developed on the corridor, and general descriptions of each. This layer was updated for the 2023 Wisconsin Trails Network Plan Update and does not contain information on, or attribute for, individual trails or trail segments, including state trails and should not be used as a substitute for any trails GIS layers, DNR or otherwise. Please reach out to Wisconsin DNR Parks & Recreation or Property Planning section staff with questions on this layer, or email DNRFLPropertyPlanningPublicInput@Wisconsin.gov.

A GIS database of geologic units and structural features in Wisconsin, with lithology, age, data structure, and format written and arranged just like the other states.

This dataset contains locations and attributes of hospitals licensed by the state of Wisconsin. The data are used for planning, management and analysis by Wisconsin Department of Health Services staff and by other government agencies. For additional attributes, please use the Wisconsin Hospitals Extended Attributes .csv file. The FACILITY_INTERNAL_ID field can be used to join the hospitals dataset with this .csv file.For more information please visit the Wisconsin Department of Health Services website: https://www.dhs.wisconsin.gov/guide/hospital.htm

These data provide an accurate high-resolution shoreline compiled from imagery of LAKE SUPERIOR, SUPERIOR TO APOSTLE ISLANDS, 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 Car...

This data set contains small-scale base GIS data layers compiled by the National Park Service Servicewide Inventory and Monitoring Program and Water Resources Division for use in a Baseline Water Quality Data Inventory and Analysis Report that was prepared for the park. The report presents the results of surface water quality data retrievals for the park from six of the United States Environmental Protection Agency's (EPA) national databases:

(1) Storage and Retrieval (STORET) water quality database management system; 
(2) River Reach File (RF3) Hydrography; 
(3) Industrial Facilities Discharges; 
(4) Drinking Water Supplies; 
(5) Water Gages; and 
(6) Water Impoundments. 

The small-scale GIS data layers were used to prepare the maps included in the report that depict the locations of water quality monitoring stations, industrial discharges, drinking intakes, water gages, and water impoundments. The data layers included in the maps (and this dataset) vary depending on availability, but generally include roads, hydrography, political boundaries, USGS 7.5' minute quadrangle outlines, hydrologic units, trails, and others as appropriate. The scales of each layer vary depending on data source but are generally 1:100,000.

Sensitive 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.

The Generalized Future Land Use (GFLU) Map makes recommendations for future land uses and development intensities to guide the physical development of Madison. The future land use categories guide what types of zoning can be applied, and ultimately what can be built in different parts of the city. For example, a parcel of land specified for future “Medium Residential” land use could be rezoned to allow for a multifamily apartment building but could not be rezoned to allow for industrial uses.

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

This layer is derived from the DNR Managed Lands dataset, dissolved on PROP_CODE. This layer contains fee simple (DNR owned) land, DNR easement on private land and DNR lease on federal- and county-owned land. DNR easements on privately held property are not included. See metadata/data dictionary for interest (transaction type) classification.This dataset contains land managed by DNR represented as property. Use DNR Managed Land Parcels for the individual parcel polygons. This dataset is updated on a weekly basis.

This layer represents the geometry of the real estate holdings of DNR Managed Lands and is not to be interpreted as representing legal property boundaries.Link to the Metadata and Data Dictionary.See also the Public Access Lands interactive mapping application

The Wisconsin Traffic Counts dataset combines traffic count data with GIS mapping technology to display data in a tabular format, on a map, or both. DV_TRADS_AADT_PT is a source of Wisconsin DOT traffic data information for road sections of the State Highways or select Local Federal-Aid roads. Traffic counts are reported as the number of vehicles expected to pass a given location on an average day of the year. This value is called the "annual average daily traffic" or AADT. The AADT is produced for either continuous count sites or short duration count sites. WisDOT collects continuous count data from about 320 permanent data collection locations primarily located on the State Trunk Highway System. Data at continuous count sites are scheduled to be collected in hourly intervals each day of the year. A short duration traffic count usually collects hourly intervals for a 48-hour period, taken at the specific locations throughout the state. Using continuous count data, short duration counts are then adjusted for the variation in traffic volume that occurs throughout the year. Short duration counts are collected over three, six, or ten-year cycles at more than 26,000 rural and urban locations throughout the state. In addition to Wisconsin DOT use for transportation management purposes, Wisconsin DOT is required to collect and report these statistics to the Federal Highway Administration monthly and annually.