100+ datasets found
  1. a

    parcel

    • opendata-unionoh.hub.arcgis.com
    Updated Aug 4, 2020
    + more versions
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    Union County, Ohio (2020). parcel [Dataset]. https://opendata-unionoh.hub.arcgis.com/maps/39e4e8e7d52f4780b924a6b084eef7d2
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    Dataset updated
    Aug 4, 2020
    Dataset authored and provided by
    Union County, Ohio
    Area covered
    Description

    Disclaimer:information contained within the Union County GIS web program was prepared to assist in the appraisal of real property for tax purposes. Map features and related data may not reflect most recent changes. Union County assumes no legal responsibility or liability for the information contained within the Union County GIS web program. Users noting errors or omissions are encouraged to contact the Union County Auditor (937-645-3003) or the Union County Engineer (937-645-3018), or send e-mail to maps@co.union.oh.us

  2. Digital Geologic-GIS Map of Fort Union National Monument and Vicinity, New...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Nov 25, 2025
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    National Park Service (2025). Digital Geologic-GIS Map of Fort Union National Monument and Vicinity, New Mexico (NPS, GRD, GRI, FOUN, FOUN digital map) adapted from a U.S. Geological Survey Geologic Quadrangle Map by Johnson (1974) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-fort-union-national-monument-and-vicinity-new-mexico-nps-grd-g
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    Dataset updated
    Nov 25, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    New Mexico
    Description

    The Digital Geologic-GIS Map of Fort Union National Monument and Vicinity, New Mexico 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 (foun_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 (foun_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 (foun_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 (foun_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (foun_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 (foun_geology_metadata_faq.pdf). Please read the foun_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: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (foun_geology_metadata.txt or foun_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 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 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).

  3. Digital Geologic-GIS Map of Fort Union Trading Post National Historic Site...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Nov 25, 2025
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    National Park Service (2025). Digital Geologic-GIS Map of Fort Union Trading Post National Historic Site and Vicinity, Montana and North Dakota (NPS, GRD, GRI, FOUS, FOUS digital map) adapted from a Montana Bureau of Mines and Geology Open-File Reports by Vuke, Wilde and Smith (2011), and Bergantino and Wilde (2007) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-fort-union-trading-post-national-historic-site-and-vicinity-mo
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    Dataset updated
    Nov 25, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    North Dakota, Montana
    Description

    The Digital Geologic-GIS Map of Fort Union Trading Post National Historic Site and Vicinity, Montana and North Dakota is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (fous_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 (fous_geology.mapx) and individual Pro layer (.lyrx) 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 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 readme file (fous_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (fous_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 (fous_geology_metadata_faq.pdf). Please read the fous_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: 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: Montana Bureau of Mines and Geology. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (fous_geology_metadata.txt or fous_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 1:100,000 and United States National Map Accuracy Standards features are within (horizontally) 50.8 meters or 166.7 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 Pro, 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).

  4. a

    Union, ON - Aug 27, 2020 - Survey Route

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    Updated Aug 31, 2020
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    Western University (2020). Union, ON - Aug 27, 2020 - Survey Route [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/westernu::union-on-aug-27-2020-survey-route
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    Dataset updated
    Aug 31, 2020
    Dataset authored and provided by
    Western University
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Description

    Ground survey route covered by NTP team for the August 27, 2020, Union, ON event. Ground survey conducted August 28, 2020. Survey route tracked by iPads while surveying in car and on foot. View event map here

  5. Regional DARIUS Shape Files

    • figshare.com
    zip
    Updated Jan 19, 2016
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    Clémentine Cottineau (2016). Regional DARIUS Shape Files [Dataset]. http://doi.org/10.6084/m9.figshare.1348298.v1
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    zipAvailable download formats
    Dataset updated
    Jan 19, 2016
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Clémentine Cottineau
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    These files correspond to the geometries of regions as defined in the DARIUS Database. Use for GIS.

  6. City of Union City Commercial and Industrial Parcel Inventory Collection

    • gisdata.fultoncountyga.gov
    • opendata.atlantaregional.com
    • +2more
    Updated Jun 10, 2014
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    Georgia Association of Regional Commissions (2014). City of Union City Commercial and Industrial Parcel Inventory Collection [Dataset]. https://gisdata.fultoncountyga.gov/maps/173dcab26a5b47c0b0c5746ebe490bc2
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    Dataset updated
    Jun 10, 2014
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This map was developed by the Atlanta Regional Commission to represent Transportation Investment Act areas within the Union City area. Looking at Commercial and Industrial Parcels with the area.

  7. d

    Credit Unions

    • catalog.data.gov
    • opendata.dc.gov
    • +6more
    Updated Apr 23, 2025
    + more versions
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    City of Washington, DC (2025). Credit Unions [Dataset]. https://catalog.data.gov/dataset/credit-unions
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    Dataset updated
    Apr 23, 2025
    Dataset provided by
    City of Washington, DC
    Description

    Credit Union locations provided by the Department of Insurance Securities and Banking (DISB). The Banking Bureau of the Department of Insurance, Securities and Banking (DISB) regulates District of Columbia Chartered Banks, mortgage companies and consumer finance companies. The Bureau strives to ensure a sound and thriving financial services community that provides the products, credit and capital vital to the needs of District of Columbia residents and businesses. DISB charters and regulates District of Columbia banks and other DC depository financial institutions. DISB also regulates non-depository financial institutions such as mortgage lenders and brokers, money transmitters, consumer finance companies and check cashers. The data is updated irregularly as needed.

  8. d

    Replication Data for: The Political Geography of Legal Integration:...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 22, 2023
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    Kelemen, R. Daniel; Pavone, Tommaso (2023). Replication Data for: The Political Geography of Legal Integration: Visualizing Institutional Change in the European Union [Dataset]. http://doi.org/10.7910/DVN/NTR9MZ
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    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Kelemen, R. Daniel; Pavone, Tommaso
    Time period covered
    Jan 1, 1964 - Jan 1, 2013
    Area covered
    Europe, European Union
    Description

    How are processes of political development structured across space and time by preexisting institutions? This article develops a spatiotemporal theory of institutional change by analyzing the evolving infrastructural power of the European Union’s legal order using geospatial methods. Specifically, the authors theorize that the pattern and pace of the domestic spread of EU law has been shaped by preexisting state institutions—particularly by the degree to which national judiciaries are hierarchically organized. To assess this claim, the article compares patterns of domestic judicial enforcement of EU law across France (a unitary state with a centralized judiciary), Italy (a weaker unitary state with a centralized judiciary), and Germany (a federal state with a decentralized judiciary). Developing a geospatial approach to the study of legal integration and historical institutionalism more broadly, the authors leverage an original geocoded data set of cases referred to the EU’s European Court of Justice by national courts to visualize how the subnational penetration of Europe’s supranational legal order is conditioned by state institutions.

  9. v

    Parcels and MOD-IV of Union County, NJ (fgdb download)

    • anrgeodata.vermont.gov
    • hub.arcgis.com
    • +1more
    Updated Dec 5, 2024
    + more versions
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    New Jersey Office of GIS (2024). Parcels and MOD-IV of Union County, NJ (fgdb download) [Dataset]. https://anrgeodata.vermont.gov/documents/2abc1d31e61842ea85b237104ddc9576
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    Dataset updated
    Dec 5, 2024
    Dataset authored and provided by
    New Jersey Office of GIS
    Area covered
    Description

    This parcels dataset is a spatial representation of tax lots for Union County, New Jersey that have been extracted from the NJ statewide parcels composite by the NJ Office of Information Technology, Office of GIS (NJOGIS). Parcels at county boundaries have been modified to correspond with the NJ county boundaries and the parcels in adjacent counties.Each parcel contains a field named PAMS_PIN based on a concatenation of the county/municipality code, block number, lot number and qualification code. Using the PAMS_PIN, the dataset can be joined to the MOD-IV database table that contains supplementary attribute information regarding lot ownership and characteristics. Due to irregularities in the data development process, duplicate PAMS_PIN values exist in the parcel records. Users should avoid joining MOD-IV database table records to all parcel records with duplicate PAMS_PINs because of uncertainty regarding whether the MOD-IV records will join to the correct parcel records. There are also parcel records with unique PAMS_PIN values for which there are no corresponding records in the MOD-IV database tables. This is mostly due to the way data are organized in the MOD-IV database.The polygons delineated in the dataset do not represent legal boundaries and should not be used to provide a legal determination of land ownership. Parcels are not survey data and should not be used as such.The MOD-IV system provides for uniform preparation, maintenance, presentation and storage of property tax information required by the Constitution of the State of New Jersey, New Jersey Statutes and rules promulgated by the Director of the Division of Taxation. MOD-IV maintains and updates all assessment records and produces all statutorily required tax lists for property tax bills. This list accounts for all parcels of real property as delineated and identified on each municipality's official tax map, as well as taxable values and descriptive data for each parcel. Tax List records were received as raw data from the Taxation Team of NJOIT which collected source information from municipal tax assessors and created the statewide table. This table was subsequently processed for ease of use with NJ tax parcel spatial data and split into an individual table for each county.***NOTE*** For users who incorporate NJOGIS services into web maps and/or web applications, please sign up for the NJ Geospatial Forum discussion listserv for early notification of service changes. Visit https://nj.gov/njgf/about/listserv/ for more information.

  10. d

    Union 1 West Fork Drainage District

    • catalog.data.gov
    • data-lakecountyil.opendata.arcgis.com
    • +1more
    Updated Sep 1, 2022
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    Lake County Illinois GIS (2022). Union 1 West Fork Drainage District [Dataset]. https://catalog.data.gov/dataset/union-1-west-fork-drainage-district-5aa50
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    Dataset updated
    Sep 1, 2022
    Dataset provided by
    Lake County Illinois GIS
    Description

    Union 1 West Fork Drainage District

  11. K

    Data from: Illinois State Parks

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 13, 2018
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    State of Illinois (2018). Illinois State Parks [Dataset]. https://koordinates.com/layer/97275-illinois-state-parks/
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    geodatabase, kml, geopackage / sqlite, dwg, pdf, csv, mapinfo tab, shapefile, mapinfo mifAvailable download formats
    Dataset updated
    Sep 13, 2018
    Dataset authored and provided by
    State of Illinois
    Area covered
    Description

    This layer is a component of Illinois Reference Layers.

    © Illinois State Geological Survey

  12. w

    Plat Tracker Union Sample

    • data.wu.ac.at
    • data.houstontx.gov
    zip
    Updated Jul 20, 2017
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    City of Houston Open Data (2017). Plat Tracker Union Sample [Dataset]. https://data.wu.ac.at/schema/data_houstontx_gov/NTZhOThkZTQtNTVjNC00Zjc0LWJkMTQtNDE0ZWQ2ZTU3ZGE0
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    zipAvailable download formats
    Dataset updated
    Jul 20, 2017
    Dataset provided by
    City of Houston Open Data
    Description

    GIS feature classes of several key City data polygons used to identify a plat location for attribution for reporting and routing. A plat boundary is located and intersected with...

  13. a

    Union No1 Middle Fork Drainage District

    • data-lakecountyil.opendata.arcgis.com
    • catalog.data.gov
    Updated Aug 15, 2018
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    Lake County Illinois GIS (2018). Union No1 Middle Fork Drainage District [Dataset]. https://data-lakecountyil.opendata.arcgis.com/documents/lakecountyil::union-no1-middle-fork-drainage-district
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    Dataset updated
    Aug 15, 2018
    Dataset authored and provided by
    Lake County Illinois GIS
    License

    https://www.arcgis.com/sharing/rest/content/items/89679671cfa64832ac2399a0ef52e414/datahttps://www.arcgis.com/sharing/rest/content/items/89679671cfa64832ac2399a0ef52e414/data

    Area covered
    Description

    Union No1 Middle Fork Drainage District

  14. h

    Poor Law Union Areas (post-Famine)

    • heritagemaps.ie
    Updated Jan 27, 2025
    + more versions
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    Heritage Council (2025). Poor Law Union Areas (post-Famine) [Dataset]. https://www.heritagemaps.ie/datasets/poor-law-union-areas-post-famine
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    Dataset updated
    Jan 27, 2025
    Dataset authored and provided by
    Heritage Council
    Area covered
    Description

    This dataset displays post-Famine Poor Law Union areas. 33 post-Famine Poor Law Union areas were created between 1848 and 1850 following on from the 130 Poor Law Unions set up following the 1838 Act 'for the more effectual Relief of the Destitute Poor in Ireland. The areas were based on Irish electoral divisions and a Board of Guardians was partly elected and partly appointed for each Poor Law Union area. This dataset appears courtesy of M. Murphy of UCC and the Atlas of the Great Irish Famine.Link: https://dahg.maps.arcgis.com/apps/MapSeries/index.html?appid=8de2b863f4454cbf93387dacb5cb8412 Metadata: https://www.arcgis.com/sharing/rest/content/items/75a6b42b401a49e29a8cfd8fcd5c6a96/data

  15. Data from: Banking Data

    • caliper.com
    cdf, dwg, dxf, gdb +9
    Updated Sep 23, 2025
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    Caliper Corporation (2025). Banking Data [Dataset]. https://www.caliper.com/mapping-software-data/bank-credit-union-data.htm
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    kml, geojson, kmz, cdf, shp, dxf, ntf, dwg, sql server mssql, gdb, sdo, postgis, postgresqlAvailable download formats
    Dataset updated
    Sep 23, 2025
    Dataset authored and provided by
    Caliper Corporationhttp://www.caliper.com/
    License

    https://www.caliper.com/license/maptitude-license-agreement.htmhttps://www.caliper.com/license/maptitude-license-agreement.htm

    Time period covered
    2025
    Area covered
    United States
    Description

    Free layers of bank and credit union data for the United States are available for use with GIS mapping software, databases, and web applications.

  16. c

    Low Water Line

    • gis.data.cnra.ca.gov
    • data.cnra.ca.gov
    • +5more
    Updated Jan 23, 2018
    + more versions
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    California State Lands Commission (2018). Low Water Line [Dataset]. https://gis.data.cnra.ca.gov/maps/CSLC::low-water-line
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    Dataset updated
    Jan 23, 2018
    Dataset authored and provided by
    California State Lands Commission
    Area covered
    Description

    The California State Lands Commission (CSLC) was created by the California Legislature in 1938 and given the authority and responsibility to manage certain public lands within the state. The public lands under the Commission’s jurisdiction are of two distinct types—sovereign lands acquired upon California’s admission into the Union in 1850; and certain federally granted lands including school lands, and swamp and overflowed lands. For purposes of this GIS data, sovereign lands are considered to be further divided into two general categories—fixed-boundary sovereign lands and ambulatory-boundary sovereign lands. The following lands are included in this data: Portions of the ambulatory-boundary for state sovereign lands at a specific point in time, for portions of the San Joaquin River. NOT INCLUDED IN THIS DATA: School lands: These are what remains of nearly 5.5 million acres throughout the state originally granted to California by Congress in 1853 to benefit public education. Fixed-boundary sovereign lands: These are sovereign, public trust lands having fixed boundaries as the result of land exchanges, boundary line agreements or court orders. Swamps and overflowed lands: These are what remain of federal lands granted to California by Congress in 1850 to encourage reclamation and development of agricultural lands. ALSO NOT INCLUDED IN THIS DATA: Ownership details within the U.S. Government meanders of Owens Lake. THIS DATA SUPERSEDES all previously published GIS information with respect to the above described state-owned lands under the jurisdiction of the CSLC.

  17. Rail Lines BNSF, UPRR

    • data.ca.gov
    • gis-california.opendata.arcgis.com
    • +2more
    Updated Mar 22, 2024
    + more versions
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    Caltrans (2024). Rail Lines BNSF, UPRR [Dataset]. https://data.ca.gov/dataset/rail-lines-bnsf-uprr
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    csv, zip, arcgis geoservices rest api, html, geojson, kmlAvailable download formats
    Dataset updated
    Mar 22, 2024
    Dataset authored and provided by
    Caltranshttp://dot.ca.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The objective is to delineate potential crude by rail routes across California, focusing on a subset of the Caltrans "California Rail Network" dataset. Specifically, this subset comprises Union Pacific Railroad (UPRR) and Burlington Northern Santa Fe (BNSF) routes, the primary carriers for crude by rail in the state. For the original dataset, please refer to the Caltrans GIS Data Hub web page.

    The purpose of the data is to depict the rail network by utilizing available reference data and information from the California Region Timetable 20. Within the Rail feature class, alignment details for passenger and freight railroad lines are included, encompassing commuter rail and heavy rail. This feature class facilitates the selection of various rail alignments in California, covering passenger, commuter, recreational, freight, and shortline rail, excluding BART.

  18. A

    Geospatial data for the Vegetation Mapping Inventory Project of Fort Union...

    • data.amerigeoss.org
    • catalog.data.gov
    api, zip
    Updated Nov 1, 2012
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    United States (2012). Geospatial data for the Vegetation Mapping Inventory Project of Fort Union National Monument [Dataset]. https://data.amerigeoss.org/tr/dataset/geospatial-data-for-the-vegetation-mapping-inventory-project-of-fort-union-national-monument
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    api, zipAvailable download formats
    Dataset updated
    Nov 1, 2012
    Dataset provided by
    United States
    Description

    The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles.

    The vegetation map was developed through on-screen digitizing of available black and white digital ortho-photographs from 1984 and 1999. The photos were compiled into a GIS with a standard set of ancillary layers provided by the park service (boundaries, roads, facilities, etc.). Using the vegetation classification as the foundation for the map legend, map units were defined with respect to interpretable patterns in the photography, and with an eye to those patterns that would be most important in natural and cultural resources management within the park. The map included 19 map classes and covered a total of 278.13 ha.

  19. c

    Significant Lands - Water Lines

    • gis.data.cnra.ca.gov
    • data.ca.gov
    • +7more
    Updated Jul 1, 2019
    + more versions
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    California State Lands Commission (2019). Significant Lands - Water Lines [Dataset]. https://gis.data.cnra.ca.gov/maps/CSLC::significant-lands-water-lines
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    Dataset updated
    Jul 1, 2019
    Dataset authored and provided by
    California State Lands Commissionhttps://www.slc.ca.gov/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    The State Lands Commission has prepared the Significant Lands Inventory (report) for the California Legislature as a general identification and classification of those unconveyed State school lands and tide and submerged lands which possess significant environmental values. The publication incorporates evaluated and pertinent comments received on the initial draft report which was circulated statewide in February 1975.The absence of a particular digitized waterway in the dataset does not mean that the State does not claim ownership of that parcel or waterway, or that such specific parcel or waterway has no significant environmental values. This dataset is not intended to establish ownership, only to identify those parcels which possess significant environmental values. Staff was unable to physically inventory all of the considered lands; instead, the advice and participation of those with known environmental expertise was utilized as additional to staff survey.Tide and submerged lands are digitized in the WaterBody and WaterLine feature classes; WaterLines for coastal areas, WaterBody for inland areas. Tide and submerged lands under the jurisdiction of the State Lands Commission are those sovereign lands received from the Federal Government by virtue of California's admission to the Union on an equal footing with the original States. Such lands, and State interest therein, are generally the lands waterward of the ordinary high water mark of the Pacific Ocean (seaward to a three-mile limit); tidal bays, sloughs, estuaries; and, navigable lakes and streams within the State.School Lands are digitized in the SchoolLand feature class. State school lands under the jurisdiction of the Commission are largely composed of the 16th and 36th sections of each township. The Federal Government transferred these lands to the State in 1853, in order to establish a financial foundation for a public school system. In cases where the 16th and 36th sections were mineral in character, incomplete as to acreage total, or already claimed or granted by the Federal Government, the State was permitted to select other lands "in lieu" of the specific sections.The public trust of commerce, navigation and fisheries which the State retains on patented sovereign lands should also be considered included in this inventory. Wherever a waterway, or body of water, is listed or mapped, the common trust state interest in patented sovereign lands, if any, is also included.The State Lands Commission emphasized when it adopted this report at its December 1, 1975 meeting that all tide and submerged lands are significant by the nature of their public ownership. Only because of the methodology used for this report are all of these waterways not specifically listed in this inventory.It is the intent of the State Lands Commission that the Significant Lands Inventory be periodically updated. This dataset should be considered informational, to assist the Legislature, the Commission, and the public in considering the environmental aspects of a proposed project and the significant values to be protected therein.

  20. h

    Transcultural Empire: Geographic Information System of the 1897 and 1926...

    • heidata.uni-heidelberg.de
    application/x-dbf +4
    Updated Oct 9, 2018
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    Ivan Sablin; Aleksandr Kuchinskiy; Aleksandr Korobeinikov; Sergey Mikhaylov; Oleg Kudinov; Yana Kitaeva; Pavel Aleksandrov; Maria Zimina; Gleb Zhidkov; Ivan Sablin; Aleksandr Kuchinskiy; Aleksandr Korobeinikov; Sergey Mikhaylov; Oleg Kudinov; Yana Kitaeva; Pavel Aleksandrov; Maria Zimina; Gleb Zhidkov (2018). Transcultural Empire: Geographic Information System of the 1897 and 1926 General Censuses in the Russian Empire and Soviet Union [Dataset]. http://doi.org/10.11588/DATA/10064
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    bin(145), application/x-dbf(195482), bin(1084), pdf(56354), application/x-dbf(224103), application/x-qgis(636), bin(5), bin(172), bin(812), txt(134), application/x-qgis(743792), application/x-qgis(892), bin(156), application/x-qgis(996344)Available download formats
    Dataset updated
    Oct 9, 2018
    Dataset provided by
    heiDATA
    Authors
    Ivan Sablin; Aleksandr Kuchinskiy; Aleksandr Korobeinikov; Sergey Mikhaylov; Oleg Kudinov; Yana Kitaeva; Pavel Aleksandrov; Maria Zimina; Gleb Zhidkov; Ivan Sablin; Aleksandr Kuchinskiy; Aleksandr Korobeinikov; Sergey Mikhaylov; Oleg Kudinov; Yana Kitaeva; Pavel Aleksandrov; Maria Zimina; Gleb Zhidkov
    License

    https://heidata.uni-heidelberg.de/api/datasets/:persistentId/versions/3.0/customlicense?persistentId=doi:10.11588/DATA/10064https://heidata.uni-heidelberg.de/api/datasets/:persistentId/versions/3.0/customlicense?persistentId=doi:10.11588/DATA/10064

    Area covered
    Soviet Union, Russian Empire, Russia, Soviet Union
    Dataset funded by
    Academic Fund Program at the National Research University Higher School of Economics (HSE)
    Description

    The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is information about linguistic, religious, and social estate groups. The part based on the 1926 census features nationality. Both shapefiles include information on gender, rural and urban population. The GIS allows for producing any necessary maps for individual studies of the period which require the administrative boundaries and demographic information.

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Union County, Ohio (2020). parcel [Dataset]. https://opendata-unionoh.hub.arcgis.com/maps/39e4e8e7d52f4780b924a6b084eef7d2

parcel

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Dataset updated
Aug 4, 2020
Dataset authored and provided by
Union County, Ohio
Area covered
Description

Disclaimer:information contained within the Union County GIS web program was prepared to assist in the appraisal of real property for tax purposes. Map features and related data may not reflect most recent changes. Union County assumes no legal responsibility or liability for the information contained within the Union County GIS web program. Users noting errors or omissions are encouraged to contact the Union County Auditor (937-645-3003) or the Union County Engineer (937-645-3018), or send e-mail to maps@co.union.oh.us

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