This dataset contains a polygon layer representing tax parcels for Saint Louis County, Minnesota. In addition to the parcel geometry, the attributes include the current tax year MCIS data. The parcel data are edited in the Parcel Fabric and exported to Parcel Info feature class daily.

PDF. A map of land use categories of parcels in St. Louis County, Missouri. Map scale is 1:62500. Link to metadata.

PDF. Map at 62500-Scale of Residential Property Total Appraised Value in St. Louis County, Link to Metadata.

Web App. Use the tabs provided to discover information about map features and capabilities. Link to Metadata. A variety of searches can be performed to find the parcel of interest. Use the Query Tool to build searches. Click Apply button at the bottom of the tool.Query by Name (Last First) (e.g. Bond James)Query by Address (e.g. 41 S Central)Query by Locator number (e.g. 21J411046)Search results will be listed under the Results tab. Click on a parcel in the list to zoom to that parcel. Click on the parcel in the map and scroll through the pop-up to see more information about the parcel. Click the ellipse in the Results tab or in the pop-up to view information in a table. Attribute information can be exported to CSV file. Build a custom Filter to select and map properties by opening the Parcels attribute table: 1. Click the arrow tab at the bottom middle of the map to expand the attribute table window2. Click on the Parcels tab3. Check off Filter by map extent4. Open Options>Filter5. Build expressions as needed to filter by owner name or other variables6. Select the needed records from the returned list7. Click Zoom to which will zoom to the selected records Please note that as the map zooms out detailed layers, such as the parcel boundaries will not display. In addition to Search capabilities, the following tools are provided:MeasureDrawPrint

PDF. Link to Metadata. Order form for GIS Data on CD. Please note: Many GIS data layers are available for download at the St. Louis County GIS Service Center Open Data Site: http://openstlco.stlcogis.opendata.arcgis.com/.GIS Data CD Features:ArcGIS Shapefile formatState Plane Coordinate System, Missouri East, NAD1983 FeetCD 1 contains Base Map layers (e.g. jurisdictional boundaries, political areas, streets, etc.)CD 2 contains Parcel Data (e.g. parcel boundaries, ownership, valuation, etc.)Published: January 2019Cost: $15.27 eachTo order GIS Data CDs, please contact:Tracy HillImaging TechnicianSt. Louis County Records Center10275 Page Industrial CtSt. Louis, MO 63132Phone: 314.615.3715Fax: 314.615.3730Please note: Many GIS data layers are available for download at the St. Louis County GIS Service Center Open Data Site: http://data.stlouisco.com/.

Open Data. Tax Code Boundaries in St. Louis County, Missouri. Link to Metadata.

This map shows the free and open data status of county public geospatial (GIS) data across Minnesota. The accompanying data set can be used to make similar maps using GIS software.

Counties shown in this dataset as having free and open public geospatial data (with or without a policy) are: Aitkin, Anoka, Becker, Beltrami, Benton, Big Stone, Carlton, Carver, Cass, Chippewa, Chisago, Clay, Clearwater, Cook, Crow Wing, Dakota, Douglas, Grant, Hennepin, Hubbard, Isanti, Itasca, Kittson, Koochiching, Lac qui Parle, Lake, Lyon, Marshall, McLeod, Meeker, Mille Lacs, Morrison, Mower, Norman, Olmsted, Otter Tail, Pipestone, Polk, Pope, Ramsey, Renville, Rice, Scott, Sherburne, St. Louis, Stearns, Steele, Stevens, Traverse, Wabasha, Waseca, Washington, Wilkin, Winona, Wright, and Yellow Medicine.

To see if a county's data is distributed via the Minnesota Geospatial Commons, check the Commons organizations page: https://gisdata.mn.gov/organization

To see if a county distributes data via its website, check the link(s) on the Minnesota County GIS Contacts webpage: https://www.mngeo.state.mn.us/county_contacts.html

This EnviroAtlas dataset describes the breakdown of the land cover classes with each Census Block Group. In this commmunity, forest is defined as Trees & Forest, and Woody Wetlands. Green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. Agriculture is defined as Agriculture alone.Wetlands are defined as Woody Wetlands and Emergent Wetlands. This dataset also includes the area per capita for each block group for some land cover types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.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 (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This dataset is a compilation of county parcel data from Minnesota counties that have opted-in for their parcel data to be included in this dataset.

It includes the following 55 counties that have opted-in as of the publication date of this dataset: Aitkin, Anoka, Becker, Benton, Big Stone, Carlton, Carver, Cass, Chippewa, Chisago, Clay, Clearwater, Cook, Crow Wing, Dakota, Douglas, Fillmore, Grant, Hennepin, Houston, Isanti, Itasca, Jackson, Koochiching, Lac qui Parle, Lake, Lyon, Marshall, McLeod, Mille Lacs, Morrison, Mower, Murray, Norman, Olmsted, Otter Tail, Pennington, Pipestone, Polk, Pope, Ramsey, Renville, Rice, Saint Louis, Scott, Sherburne, Stearns, Stevens, Traverse, Waseca, Washington, Wilkin, Winona, Wright, and Yellow Medicine.

If you represent a county not included in this dataset and would like to opt-in, please contact Heather Albrecht (Heather.Albrecht@hennepin.us), co-chair of the Minnesota Geospatial Advisory Council (GAC)’s Parcels and Land Records Committee's Open Data Subcommittee. County parcel data does not need to be in the GAC parcel data standard to be included. MnGeo will map the county fields to the GAC standard.

County parcel data records have been assembled into a single dataset with a common coordinate system (UTM Zone 15) and common attribute schema. The county parcel data attributes have been mapped to the GAC parcel data standard for Minnesota: https://www.mngeo.state.mn.us/committee/standards/parcel_attrib/parcel_attrib.html

This compiled parcel dataset was created using Python code developed by Minnesota state agency GIS professionals, and represents a best effort to map individual county source file attributes into the common attribute schema of the GAC parcel data standard. The attributes from counties are mapped to the most appropriate destination column. In some cases, the county source files included attributes that were not mapped to the GAC standard. Additionally, some county attribute fields were parsed and mapped to multiple GAC standard fields, such as a single line address. Each quarter, MnGeo provides a text file to counties that shows how county fields are mapped to the GAC standard. Additionally, this text file shows the fields that are not mapped to the standard and those that are parsed. If a county shares changes to how their data should be mapped, MnGeo updates the compilation. If you represent a county and would like to update how MnGeo is mapping your county attribute fields to this compiled dataset, please contact us.

This dataset is a snapshot of parcel data, and the source date of the county data may vary. Users should consult County websites to see the most up-to-date and complete parcel data.

There have been recent changes in date/time fields, and their processing, introduced by our software vendor. In some cases, this has resulted in date fields being empty. We are aware of the issue and are working to correct it for future parcel data releases.

The State of Minnesota makes no representation or warranties, express or implied, with respect to the use or reuse of data provided herewith, regardless of its format or the means of its transmission. THE DATA IS PROVIDED “AS IS” WITH NO GUARANTEE OR REPRESENTATION ABOUT THE ACCURACY, CURRENCY, SUITABILITY, PERFORMANCE, MECHANTABILITY, RELIABILITY OR FITINESS OF THIS DATA FOR ANY PARTICULAR PURPOSE. This dataset is NOT suitable for accurate boundary determination. Contact a licensed land surveyor if you have questions about boundary determinations.

DOWNLOAD NOTES: This dataset is only provided in Esri File Geodatabase and OGC GeoPackage formats. A shapefile is not available because the size of the dataset exceeds the limit for that format. The distribution version of the fgdb is compressed to help reduce the data footprint. QGIS users should consider using the Geopackage format for better results.

This EnviroAtlas dataset describes the percentage of forested, vegetated, and impervious land within 15- and 50-meters of hydrologically connected streams, rivers, and other water bodies within the EnviroAtlas community area. In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. and In this community, vegetated land is defined as Trees & Forest, Grass & Herbaceous, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.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 (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, tree cover is defined as Trees & Forest, and Woody Wetlands. Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.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 (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Web App. Use the tabs provided to create mailing list of the properties you desire. Link to Metadata. A variety of searches can be performed to find the parcel of interest. Use the Parcel Notification Tool to build searches. Click the drop down button to select the preferred search, and then click the magnifier glass to search.Search by Name (Last First) (e.g. Bond James)Search by Address (e.g. 41 S Central)Search by Locator number (e.g. 21J411046)Click on apply a search distance with your desired distance in your needed units. Select the preferred output style under the format drop down. If your notification area's address, owner, or locator number is not know you can use the draw tools that are the buttons below the search bar. In addition to Search capabilities, the following tools are provided:MeasureThe measure tool provides the capabilities to draw a point, line, or polygon on the map and specify the unit of measurement.DrawThe draw tool provides the capabilities to draw a point, line, or polygon on the map as graphics. PrintThe print tool exports the map to either a PDF or image file. Click Settings button to configure map or remove legend.Map navigation using mouse and keyboard:Drag to panSHIFT + CTRL + Drag to zoom outMouse Scroll Forward to zoom inMouse Scroll Backward to zoom outUse Arrow keys to pan+ key to zoom in a level- key to zoom out a levelDouble Click to Zoom in

This is a collection of CSV files that contain assessment data. The files in this extract are:

Primary Parcel file containing primary owner and land information;Addn file containing drawing vectors for dwelling records;Additional Address file containing any additional addresses that exist for a parcel;Assessment file containing assessed value-related data;Appraisal file containing appraised value-related data;Commercial file containing primary commercial data;Commercial Apt containing commercial apartment data;Commercial Interior Exterior dataDwelling fileEntrance data containing data from appraisers' visits;Other Buildings and Yard ImprovementsSales FileTax Rate File for the current billing cycle by taxing district authority and property class; and,Tax Payments File containing tax charges and payments for current billing cycle.In addition to the CSV files, the following are included:

Data Dictionary PDF; and,St Louis County Rate Book for the current tax billing cycle.

This is an example of the County Geologic Atlas program (Part A) that is run by the Minnesota Geological Survey. The atlas program provides information essential to sustainable management of groundwater resources, for applications such as monitoring, water allocation, permitting, remediation, and well construction. The maps define aquifer properties and boundaries, as well as the connection of aquifers to the land surface and to the surface-water resources. They also provide a broad range of information on county geology, mineral resources (including construction materials), and natural history.In this story map we focus on St. Louis County. Each slide depicts a small, but valuable, portion of the data that are produced during an atlas project, which typically takes between three and four years to complete. Enjoy!

The bulk of the thin sections in the database are poorly located or not located at all, as they temporally span the entire history of the Minnesota Geological Survey. However many of the thin sections constructed since the 1970's can be fairly easily located via old field maps and notebooks on file at the Minnesota Geological Survey. Due to the overwhelming number of sections they have been located on an 'as-needed' basis, meaning that as we progress through different mapping project areas, every attempt was made to properly locate where the sample for the thin section was taken. Several hundred thin sections have been located, mainly in northeastern Minnesota in Cook and Lake Counties, in central St. Louis County, and Itasca County. All thin sections that were made since the advent of GIS and GPS are already located, having been stored with the data for individual mapping projects.

Geological hand samples and thin section database consists of four datasets. These datasets are the Thinsection locations, 2012 - 2020, Handsample locations, 2012 - 2020, Winchell rock catalog, 2020 and the Pillsbury rock catalog, 2020. All locations are available for viewing and downloading.The MGS hand sample database is a digital database cataloging approximately 45,000 physical geologic hand samples collected in Minnesota over the last 100+ years. Hand samples are property of the MGS and currently reside at the MN DNR core facility in Hibbing, Minnesota. Each sample has the minimum identifying data of Sample ID and location. Many samples are much more fully attributed with data including, but not limited to, geologist, sample date, sample type, sample description, and geologist’s notes. Quality and extent of data preserved is highest for samples collected by MGS geologists from the mid 1900s onward. The bulk of the thin sections in the database are poorly located or not located at all, as they temporally span the entire history of the Minnesota Geological Survey. However many of the thin sections constructed since the 1970's can be fairly easily located via old field maps and notebooks on file at the Minnesota Geological Survey. Due to the overwhelming number of sections they have been located on an 'as-needed' basis, meaning that as we progress through different mapping project areas, every attempt was made to properly locate where the sample for the thin section was taken. Several hundred thin sections have been located, mainly in northeastern Minnesota in Cook and Lake Counties, in central St. Louis County, and Itasca County. All thin sections that were made since the advent of GIS and GPS are already located, having been stored with the data for individual mapping projects.