Geospatial data about Becker County, Minnesota Corners. Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about Becker County, Minnesota Parcels. Export to CAD, GIS, PDF, CSV and access via API.

A County Geologic Atlas (CGA) project is a study of a county's geology, and its mineral and ground-water resources. The information collected during the project is used to develop maps, data-base files, and reports. This same information is also produced as digital files. The map information is formatted as geographic information system (GIS) files with associated data bases. The maps and reports are also reproduced as portable document files (PDFs) that can be opened on virtually any computer using the free Acrobat Reader from Adobe.com. All of the digital files for the CGA's can be downloaded from the University of Minnesota Digital Conservancy. The majority of the files can also be viewed and queried through the use of this Story Map.Atlas information is commonly used in planning and environmental protection programs, as an educational resource, and by industries involved in water and mineral resources. It represents a comprehensive, detailed compilation of geologic data and interpretations within a county. The distribution and character of geologic materials determine how and where water enters the earth, and where it is stored in aquifers that can supply our needs. Geologic maps are a key element in delineating those flow paths and in relating land use to water quality. The atlas also provides a framework and terminology to support more detailed, site-specific studies. The records of water wells drilled in the area are an important source of data for constructing the maps and for understanding the distribution and use of ground water in the county. A data base of the information from those wells is one of the atlas products, and it can be queried with the GIS files to yield valuable insights for managing the ground-water resource.The atlas is also useful to non-professionals who simply wish to learn more about the geology of the county. It is a one-stop, comprehensive collection of information in a variety of forms and styles that should be useful to anyone with an interest in earth science or the county.The geologic data and maps are produced and distributed by the Minnesota Geological Survey (MGS) as Part A of an Atlas. The Minnesota Department of Natural Resources follows with an investigation of the quantity, quality, and pollution sensitivity of ground water. Their products are distributed as Part B of the atlas, at a later date. If necessary, a report with additional information that was not possible to include on the limited space of the printed maps is produced by MGS as Part C of, or included as a supplement to, an atlas. The Atlas CD or DVD, which is available online at the Digital Conservancy, includes all the atlas products developed by the Minnesota Geological Survey.

Geospatial data about Becker County, Minnesota Lakes. Export to CAD, GIS, PDF, CSV and access via API.

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.

Geospatial data about Becker County, Minnesota Blocks. Export to CAD, GIS, PDF, CSV and access via API.

Mobile ready land records, maps and data integrated with tax, CAMA and permitting information.

Geospatial data about Becker County, Minnesota Subdivisions. Export to CAD, GIS, PDF, CSV and access via API.

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, Stearns, Steele, Stevens, St. Louis, Traverse, 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

Polygons that represent the extent of soil classifications or types.This content is available for download by navigating to the resource URL or clicking the Open button.

This dataset provides a 10 m resolution map of cropland in Togo (togo_cropland_2019.zip). Each pixel represents a posterior probability (ranging 0 to 1) that the pixel contains crops, predicted using an LSTM classifier and multi-spectral time series of Sentinel-2 satellite observations. For more details on the method, please see Kerner and Tseng, et al. (full reference below).

This dataset also provides the hand-labeled polygons used for training (crop_merged_v2.zi, noncrop_merged_v2.zip) and testing (togo_test_majority.zip) the model, which were created by experts based on photointerpretation of high-resolution imagery (primarily SkySat and PlanetScope) in QGIS and Google Earth Pro.

If you use any part of this dataset, please cite the following paper: Hannah Kerner, Gabriel Tseng, Inbal Becker-Reshef, Catherine Nakalembe, Brian Barker, Blake Munshell, Madhava Paliyam, and Mehdi Hosseini. 2020. Rapid Response Crop Maps in Data Sparse Regions. In review for KDD ’20: ACMSIGKDD Conference on Knowledge Discovery and Data Mining Workshops, August 22–27, 2020, San Diego, CA.

Geospatial data about Becker County, Minnesota Lots. Export to CAD, GIS, PDF, CSV and access via API.

4.0.1 is a minor release to correct a deployment problem from Github to Zenodo.org. Content is the same as the 4.0 release:

Pleiades gazetteer datasets

Please report problems and make feature requests via the main Pleiades Gazetteer Issue Tracker.

Content is governed by the copyrights of the individual contributors responsible for its creation. Some rights are reserved. All content is distributed under the terms of a Creative Commons Attribution license (cc-by).

In order to facilitate reproducibility and to comply with license terms, we encourage use and citation of numbered releases for scholarly work that will be published in static form.

Please share notices of data reuse with the Pleiades community via email to pleiades.admin@nyu.edu. These reports help us to justify continued funding and operation of the gazetteer and to prioritize updates and improvements.

Version 4.0 - 6 February 2025

41,200 place resources

Since release 3.2 of pleiades.datasets on 3 November 2023, the Pleiades gazetteer published 876 new and 9,555 updated place resources, reflecting the work of Johan Åhlfeldt, Ella Arnold, Jeffrey Becker, Gabriel Bodard, Sarah Bond, Catherine Bouras, Lucas Butler, Iulian Bîrzescu, Anne Chen, Birgit Christiansen, Niels Christofferson, James Cowey, Francis Deblauwe, Dan Diffendale, Anthony Durham, Denitsa Dzhigova, Tom Elliott, Jordy Didier Orellana Figueroa, Martina Filosa, Jonathan Fu, Ryosuke Furui, Maija Gierhart, Sean Gillies, Matthias Grawehr, Amelia Grissom, Maxime Guénette, Andrew Harris, Greta Hawes, Ryan M. Horne, Carolin Johansson, Daniel C. Browning Jr., Noah Kaye, Philip Kenrick, Brady Kiesling, Yaniv Korman, Mark Krier, Divya Kumar-Dumas, Thomas Landvatter, Chris de Lisle, Yuyao Liu, Stanisław Ludwiński, Sean Manning, Gabriel McKee, John Muccigrosso, Jamie Novotny, Philipp Pilhofer, Jonathan Prag, Adam Rabinowitz, Rune Rattenborg, María Jesús Redondo, Charlotte Roueché, Karen Rubinson, Thomas Seidler, Rosemary Selth, Jason M. Silverman, R. Scott Smith, Néhémie Strupler, Richard Talbert, Francis Tassaux, Clifflena Tiah, Georgios Tsolakis, Scott Vanderbilt, Athanasia Varveri and Valeria Vitale.

Highlights

• Updated gazetteer data in this release: see "Contents" below.
• Removed deprecated "legacy CSV" serialization. JSON or "CSV for GIS" are the recommended packages for most third-party reuse.
• Added new "indexes" dataset: Pleiades places that reference certain external resources.
• Improved serialization of vocabulary terms in "CSV for GIS" serialization and added the previously omitted "Time Periods" vocabulary.
• Added new "sidebar" dataset: assertions by external datasets of relationships to Pleiades places.

Overview

This is a package of data derived from the Pleiades gazetteer of ancient places. It is used for archival and redistribution purposes and is likely to be less up-to-date than the live data at https://pleiades.stoa.org.

Pleiades is a community-built gazetteer and graph of ancient places. It publishes authoritative information about ancient places and spaces, providing unique services for finding, displaying, and reusing that information under open license. It publishes not just for individual human users, but also for search engines and for the widening array of computational research and visualization tools that support humanities teaching and research.

Pleiades is a continuously published scholarly reference work for the 21st century. We embrace the new paradigm of citizen humanities, encouraging contributions from any knowledgeable person and doing so in a context of pervasive peer review. Pleiades welcomes your contribution, no matter how small, and we have a number of useful tasks suitable for volunteers of every interest.

Access and Archiving

The latest versions of this package can be had by fork or download from the main branch at https://github.com/isawnyu/pleiades-datasets. Numbered releases are created periodically at GitHub. These are archived at:

• zenodo.org using the DOI 10.5281/zenodo.1193921
• archive.nyu.edu using the Handle 2451/34305
• archive.org using the URI https://archive.org/details/pleiades.datasets-{version_number}

Credits

Pleiades is brought to you by:

• Our volunteer content contributors (see data/rdf/authors.ttl for complete list and associated identifiers or data).
• Pleiades has received significant, periodic support from the National Endowment for the Humanities since 2006. Grant numbers: HK-230973-15, PA-51873-06, PX-50003-08, and PW-50557-10. Any views, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect those of the National Endowment for the Humanities.
• Web hosting and additional support has been provided since 2008 by the Institute for the Study of the Ancient World at New York University.
• Additional support has been provided since 2000 by the Ancient World Mapping Center at the University of North Carolina at Chapel Hill.
• Development hosting and other project incubation support was provided between 2000 and 2008 by Ross Scaife and the Stoa Consortium.

The conveyance of several parcels at the same time, by the same legal instant, and generally referred to as subdivisions or condominiums.

Geospatial data about Becker County, Minnesota Landuse. Export to CAD, GIS, PDF, CSV and access via API.

Pleiades gazetteer datasets

Please report problems and make feature requests via the main Pleiades Gazetteer Issue Tracker.

Content is governed by the copyrights of the individual contributors responsible for its creation. Some rights are reserved. All content is distributed under the terms of a Creative Commons Attribution license (cc-by).

In order to facilitate reproducibility and to comply with license terms, we encourage use and citation of numbered releases for scholarly work that will be published in static form.

Please share notices of data reuse with the Pleiades community via email to pleiades.admin@nyu.edu. These reports help us to justify continued funding and operation of the gazetteer and to prioritize updates and improvements.

Version 4.1 - 28 May 2025

41,480 place resources

Since release 4.0.1 of pleiades.datasets on 6 February 2025, the Pleiades gazetteer published 287 new and 2,757 updated place resources, reflecting the work of Jeffrey Becker, Sarah Bond, Catherine Bouras, Anne Chen, Birgit Christiansen, Matthew Clark, Stefano Costa, Anthony Durham, Tom Elliott, Margherita Fantoli, E.W.B. Fentress, Güner Girgin, Maxime Guénette, Greta Hawes, Brady Kiesling, Chris de Lisle, Sean Manning, Gabriel McKee, John Muccigrosso, Jamie Novotny, Gethin Rees, Rosemary Selth, R. Scott Smith, Nicolas Souchon, Néhémie Strupler, Richard Talbert, Clifflena Tiah, and Scott Vanderbilt. As a result, this release provides documentation for 41,480 place resources.

Highlights

• Updated gazetteer data in this release: see "Contents" below.
• Updated data/gis/README.md for new places_accuracy.csv file, which provides more horizontal accuracy data for use in GIS software.
• Updated information about Pleiades Sidebar (q.v.)

Overview

This is a package of data derived from the Pleiades gazetteer of ancient places. It is used for archival and redistribution purposes and is likely to be less up-to-date than the live data at https://pleiades.stoa.org.

Pleiades is a community-built gazetteer and graph of ancient places. It publishes authoritative information about ancient places and spaces, providing unique services for finding, displaying, and reusing that information under open license. It publishes not just for individual human users, but also for search engines and for the widening array of computational research and visualization tools that support humanities teaching and research.

Pleiades is a continuously published scholarly reference work for the 21st century. We embrace the new paradigm of citizen humanities, encouraging contributions from any knowledgeable person and doing so in a context of pervasive peer review. Pleiades welcomes your contribution, no matter how small, and we have a number of useful tasks suitable for volunteers of every interest.

Access and Archiving

The latest versions of this package can be had by fork or download from the main branch at https://github.com/isawnyu/pleiades-datasets. Numbered releases are created periodically at GitHub. These are archived at:

• zenodo.org using the DOI 10.5281/zenodo.1193921
• archive.nyu.edu using the Handle 2451/34305
• archive.org using the URI https://archive.org/details/pleiades.datasets-{version_number}

Credits

Pleiades is brought to you by:

• Our volunteer content contributors (see data/rdf/authors.ttl for complete list and associated identifiers or data).
• Pleiades received significant, periodic support from the National Endowment for the Humanities between 2006 and 2019. Grant numbers: HK-230973-15, PA-51873-06, PX-50003-08, and PW-50557-10. Any views, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect those of the National Endowment for the Humanities.
• Web hosting and additional support has been provided since 2008 by the Institute for the Study of the Ancient World at New York University.
• Additional support and in-kind collaboration has been provided since 2000 by the Ancient World Mapping Center at the University of North Carolina at Chapel Hill.
• Development hosting and other project incubation support was provided between 2000 and 2008 by Ross Scaife and the Stoa Consortium.

This dataset contains a series of features used to describe the cadastral reference system (PLSS, Control, etc.).

Geospatial data about Becker County, Minnesota Driveway Points. Export to CAD, GIS, PDF, CSV and access via API.

Ocean depth plays an important role in the distribution and abundance of living organisms and has important implications for shipping and offshore development projects such as wind power and oil extraction.Phenomenon Mapped: Seafloor depth, bathymetryUnits: Meters below sea levelCell Size: 30 arc seconds, approximately 1 kmSource Type: DiscretePixel Type: Signed integerSpatial Reference: GCS_WGS_1984Mosaic Projection: Web Mercator Auxiliary SphereExtent: Global oceansSource: Marine Conservation Institute (MCI)Citation: Becker JJ, Sandwell DT, Smith WHF, Braud J, Binder B, et al. (2009) Global bathymetry and elevation data at 30 arc seconds resolution: SRTM30_PLUS. Marine Geodesy 32: 355–371.Publication Date: 2009ArcGIS Server URL: https://oceans2.arcgis.com/arcgis/The Marine Conservation Institute used this dataset as an input to a predictive habitat model documented in the publication Global Habitat Suitability for Framework-Forming Cold-Water Corals.The source data is available from the Scripps Institution of Oceanography Satellite Geodesy Webpage.What can you do with this layer?Visualization: This layer can be used for visualization online in web maps and in ArcGIS Desktop.Analysis: This layer can be used as an input to geoprocessing tools and model builder.Raster Functions: Unit Conversion – meters to feet, Cartographic Renderer, Aspect, Slope, and Hillshade - see this blog for more information.This layer is part of the Living Atlas of the World that provides access to thousands of beautiful and authoritative layers, web maps, and apps.

Geospatial data about Becker County, Minnesota Soils. Export to CAD, GIS, PDF, CSV and access via API.