100+ datasets found
  1. h

    SHP

    • huggingface.co
    • opendatalab.com
    Updated Mar 1, 2023
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    Stanford NLP (2023). SHP [Dataset]. https://huggingface.co/datasets/stanfordnlp/SHP
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 1, 2023
    Dataset authored and provided by
    Stanford NLP
    Description

    🚢 Stanford Human Preferences Dataset (SHP)

    If you mention this dataset in a paper, please cite the paper: Understanding Dataset Difficulty with V-Usable Information (ICML 2022).

      Summary
    

    SHP is a dataset of 385K collective human preferences over responses to questions/instructions in 18 different subject areas, from cooking to legal advice. The preferences are meant to reflect the helpfulness of one response over another, and are intended to be used for training… See the full description on the dataset page: https://huggingface.co/datasets/stanfordnlp/SHP.

  2. a

    Topographic - All Features (SHP)

    • hub.arcgis.com
    Updated Oct 30, 2020
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    City of Coquitlam (2020). Topographic - All Features (SHP) [Dataset]. https://hub.arcgis.com/documents/fb00e2c0b27e471da76571e466cece21
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    Dataset updated
    Oct 30, 2020
    Dataset authored and provided by
    City of Coquitlam
    Description

    Complete Topographic dataset in shapefile format. Consume this dataset if you wish to download the entire Topographic dataset at once.

  3. 2022 Cartographic Boundary File (SHP), United States, 1:20,000,000

    • catalog.data.gov
    Updated Dec 14, 2023
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2022 Cartographic Boundary File (SHP), United States, 1:20,000,000 [Dataset]. https://catalog.data.gov/dataset/2022-cartographic-boundary-file-shp-united-states-1-20000000
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    Description

    The 2022 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. This file depicts the shape of the United States clipped back to a generalized coastline. This nation layer covers the extent of the fifty states, the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) when scale appropriate.

  4. a

    Parks – SHP

    • hub.arcgis.com
    • openhub-esrica-apps.opendata.arcgis.com
    Updated May 17, 2016
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    City of Kamloops (2016). Parks – SHP [Dataset]. https://hub.arcgis.com/documents/8070d6bd9d8f4bf18d858c883f277628
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    Dataset updated
    May 17, 2016
    Dataset authored and provided by
    City of Kamloops
    Area covered
    Description

    A collection of SHP files containing all the Parks feature classes available for download as follows:Arts, Culture, EducationChurch CemeteryHealthHousingParkPublic ServicesRecreation and EntertainmentShoppingSports AssociationTourism, AccommodationTrail, BikewaysTreesWildfire Threat

  5. TIGER/Line Shapefile, 2022, County, Haskell County, TX, All Lines

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jan 28, 2024
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2022, County, Haskell County, TX, All Lines [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-county-haskell-county-tx-all-lines
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    Dataset updated
    Jan 28, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Texas, Haskell County
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Edge refers to the linear topological primitives that make up MTDB. The All Lines Shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately. The All Lines Shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value.

  6. OpenStreetMap

    • data.europa.eu
    • data.ubdc.ac.uk
    • +1more
    esri shape, html
    Updated Feb 28, 2025
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    Open Street Map (2025). OpenStreetMap [Dataset]. https://data.europa.eu/data/datasets/openstreetmap-1/embed
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    html, esri shapeAvailable download formats
    Dataset updated
    Feb 28, 2025
    Dataset provided by
    OpenStreetMap//www.openstreetmap.org/
    Authors
    Open Street Map
    Description

    https://www.openstreetmap.org/images/osm_logo.png" alt="" /> OpenStreetMap (openstreetmap.org) is a global collaborative mapping project, which offers maps and map data released with an open license, encouraging free re-use and re-distribution. The data is created by a large community of volunteers who use a variety of simple on-the-ground surveying techniques, and wiki-syle editing tools to collaborate as they create the maps, in a process which is open to everyone. The project originated in London, and an active community of mappers and developers are based here. Mapping work in London is ongoing (and you can help!) but the coverage is already good enough for many uses.

    Browse the map of London on OpenStreetMap.org

    Downloads:

    The whole of England updated daily:

    For more details of downloads available from OpenStreetMap, including downloading the whole planet, see 'planet.osm' on the wiki.

    Data access APIs:

    Download small areas of the map by bounding-box. For example this URL requests the data around Trafalgar Square:
    http://api.openstreetmap.org/api/0.6/map?bbox=-0.13062,51.5065,-0.12557,51.50969

    Data filtered by "tag". For example this URL returns all elements in London tagged shop=supermarket:
    http://www.informationfreeway.org/api/0.6/*[shop=supermarket][bbox=-0.48,51.30,0.21,51.70]

    The .osm format

    The format of the data is a raw XML represention of all the elements making up the map. OpenStreetMap is composed of interconnected "nodes" and "ways" (and sometimes "relations") each with a set of name=value pairs called "tags". These classify and describe properties of the elements, and ultimately influence how they get drawn on the map. To understand more about tags, and different ways of working with this data format refer to the following pages on the OpenStreetMap wiki.

    Simple embedded maps

    Rather than working with raw map data, you may prefer to embed maps from OpenStreetMap on your website with a simple bit of javascript. You can also present overlays of other data, in a manner very similar to working with google maps. In fact you can even use the google maps API to do this. See OSM on your own website for details and links to various javascript map libraries.

    Help build the map!

    The OpenStreetMap project aims to attract large numbers of contributors who all chip in a little bit to help build the map. Although the map editing tools take a little while to learn, they are designed to be as simple as possible, so that everyone can get involved. This project offers an exciting means of allowing local London communities to take ownership of their part of the map.

    Read about how to Get Involved and see the London page for details of OpenStreetMap community events.

  7. a

    CPW Big Game Pinch Points Shapefile Download

    • geodata-cpw.hub.arcgis.com
    Updated Jul 18, 2023
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    rsacco (2023). CPW Big Game Pinch Points Shapefile Download [Dataset]. https://geodata-cpw.hub.arcgis.com/datasets/19b87a1c7ef74c398580e6ed481c5318
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    Dataset updated
    Jul 18, 2023
    Dataset authored and provided by
    rsacco
    Description

    Last Updated December, 2024This data layer was compiled by CDOT and CPW to display current dedicated wildlife crossing structures in Colorado. Structures function at varying degress for the target wildlife species, and the design may or may not be adequate. The data layer shows all crossing structures that were funded and designed for wildlife and does not consider functionality or success of that structure. The data layer does not include other culverts or bridges that may function as a wildlife crossing but were not designed for that purpose. The initial compilation effort occurred in 2021.This data layer was compiled by CDOT and CPW to display current dedicated wildlife crossing structures in Colorado. Structures function at varying degress for the target wildlife species, and the design may or may not be adequate. The data layer shows all crossing structures that were funded and designed for wildlife and does not consider functionality or success of that structure. The data layer does not include other culverts or bridges that may function as a wildlife crossing but were not designed for that purpose. The initial compilation effort occurred in 2021. In 2021, CDOT and CPW collaborated to pull together the structure data and map the data on a wildlife crossing webmap. The data is provided by CDOT, and CPW hosts and maintains the webmap. Plans are to update the database and webmap annually. https://experience.arcgis.com/experience/309a78b1c4ce4c93bcd20400682f363bCredit CDOT and CPW

  8. TIGER/Line Shapefile, 2023, County, Nelson County, VA, All Lines

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Dec 15, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2023). TIGER/Line Shapefile, 2023, County, Nelson County, VA, All Lines [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2023-county-nelson-county-va-all-lines
    Explore at:
    Dataset updated
    Dec 15, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Nelson County
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Edge refers to the linear topological primitives that make up MTDB. The All Lines Shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately. The All Lines Shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value.

  9. o

    Oakland City Council Districts - Shape Files - shp

    • data.openoakland.org
    zip
    Updated Apr 6, 2016
    + more versions
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    (2016). Oakland City Council Districts - Shape Files - shp [Dataset]. http://data.openoakland.org/dataset/oakland-city-council-districts-shape-files-shp
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    zipAvailable download formats
    Dataset updated
    Apr 6, 2016
    Description

    The attached zip file contains the shapefile for Oakland's city council districts. You need all the files included in the zip file to open the .shp file, so please download the whole zip archive.

  10. T

    US Attorney Districts Shapefile

    • data.ojp.usdoj.gov
    Updated Aug 9, 2021
    + more versions
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    (2021). US Attorney Districts Shapefile [Dataset]. https://data.ojp.usdoj.gov/Shapefile/US-Attorney-Districts-Shapefile/5fdt-n5ne
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    application/rssxml, csv, kmz, application/geo+json, kml, tsv, application/rdfxml, xmlAvailable download formats
    Dataset updated
    Aug 9, 2021
    Area covered
    United States
    Description

    US Attorney District Shapefile downloaded from online

  11. TIGER/Line Shapefile, 2023, County, Pearl River County, MS, All Lines

    • catalog.data.gov
    • s.cnmilf.com
    Updated Dec 15, 2023
    + more versions
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2023). TIGER/Line Shapefile, 2023, County, Pearl River County, MS, All Lines [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2023-county-pearl-river-county-ms-all-lines
    Explore at:
    Dataset updated
    Dec 15, 2023
    Dataset provided by
    United States Department of Commercehttp://www.commerce.gov/
    United States Census Bureauhttp://census.gov/
    Area covered
    Pearl River County
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Edge refers to the linear topological primitives that make up MTDB. The All Lines Shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately. The All Lines Shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value.

  12. C

    DSM2 Georeferenced Model Grid

    • data.cnra.ca.gov
    • data.ca.gov
    • +2more
    Updated Aug 28, 2023
    + more versions
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    California Department of Water Resources (2023). DSM2 Georeferenced Model Grid [Dataset]. https://data.cnra.ca.gov/dataset/dsm2-georeferenced-model-grid
    Explore at:
    pdf(22669649), arcgis desktop map package(300515), pdf(22679496), zip(159621), arcgis desktop map package(211110), zip(26881), zip(158973), arcgis pro map package(153901), zip(228604), pdf(1443441), pdf(20463896), pdf(25962387)Available download formats
    Dataset updated
    Aug 28, 2023
    Dataset authored and provided by
    California Department of Water Resources
    Description

    ArcGIS and QGIS map packages, with ESRI shapefiles for the DSM2 Model Grid. These are not finalized products. Locations in these shapefiles are approximate.

    Monitoring Stations - shapefile with approximate locations of monitoring stations.

    DSM2 v8.2.0, calibrated version:

    • dsm2_8_2_grid_map_calibrated.mpkx - ArcGIS Pro map package containing all layers and symbology for the calibrated grid map.
    • dsm2_8_2_grid_map_calibrated.mpk - ArcGIS Desktop map package containing all layers and symbology for the calibrated grid map.
    • dsm2_8_2_0_calibrated_grid_map_qgis.zip - QGIS map package containing all layers and symbology for the calibrated grid map.
    • dsm2_8_2_0_calibrated_gridmap_shapefiles.zip - A zip file containing all the shapefiles used in the above map packages:
    • dsm2_8_2_0_calibrated_channels_centerlines - channel centerlines, follwing the path of CSDP centerlines
    • dsm2_8_2_0_calibrated_network_channels - channels represented by straight line segments which are connected the upstream and downstream nodes
    • dsm2_8_2_0_calibrated_nodes - DSM2 nodes
    • dsm2_8_2_0_calibrated_dcd_only_nodes - Nodes that are only used by DCD
    • dsm2_8_2_0_calibrated_and_dcd_nodes - Nodes that are shared by DSM2 and DCD
    • dsm2_8_2_0_calibrated_and_smcd_nodes - Nodes that are shared by DSM2 and SMCD
    • dsm2_8_2_0_calibrated_gates_actual_loc - The approximate actual locations of each gate in DSM2
    • dsm2_8_2_0_calibrated_gates_grid_loc - The locations of each gate in the DSM2 model grid
    • dsm2_8_2_0_calibrated_reservoirs - The approximate locations of the reservoirs in DSM2
    • dsm2_8_2_0_calibrated_reservoir_connections - Lines showing connections from reservoirs to nodes in DSM2

    DSM2 v8.2.1, historical version:

    • DSM2 v8.2.1, historical version grid map release notes (PDF), updated 7/12/2022
    • DSM2 v8.2.1, historical version grid map, single zoom level (PDF)
    • DSM2 v8.2.1, historical version grid map, multiple zoom levels (PDF) - PDF grid map designed to be printed on 3 foot wide plotter paper.
    • DSM2 v8.2.1, historical version map package for ArcGIS Desktop: A map package for ArcGIS Desktop containing the grid map layers with symbology.
    • DSM2 v8.2.1, historical version grid map shapefiles (zip): A zip file containing the shapefiles used in the grid map.

    Change Log

    7/12/2022: The document "DSM2 v8.2.1, historical version grid map release notes (PDF)" was corrected by removing section 4.4, which incorrectly stated that the grid included channels 710-714, representing the Toe Drain, and that the Yolo Flyway restoration area was included.

  13. f

    Contours (2021) - for downloading

    • gisdata.fultoncountyga.gov
    • hub.arcgis.com
    Updated Aug 2, 2021
    + more versions
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    City of Johns Creek, GA (2021). Contours (2021) - for downloading [Dataset]. https://gisdata.fultoncountyga.gov/datasets/6634984907b34ecf9d7828a0a0f265b7
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    Dataset updated
    Aug 2, 2021
    Dataset authored and provided by
    City of Johns Creek, GA
    License

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

    Area covered
    Description

    This dataset is very large and detailed. As a result, there is no option to download a single dataset of the entire City as a shapefile (.shp) since it would exceed the 2 GB file size limit. If you intend to use this data in a CAD program, you should download the zone(s) in shapefile format and attach the data to your project.

     Download Shapefile by Zone(click on a zone to start the download)
    
    
    
      Zone A
    
    
    
    
    
      Zone C
    
    
      Zone B
    
    
    
    
    
      Zone D
    
  14. GEODATA TOPO 250K Series 3 (Shape file format)

    • researchdata.edu.au
    • ecat.ga.gov.au
    Updated 2006
    + more versions
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    GEODATA; GEODATA (2006). GEODATA TOPO 250K Series 3 (Shape file format) [Dataset]. https://researchdata.edu.au/geodata-topo-250k-file-format/1278865
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    Dataset updated
    2006
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    Authors
    GEODATA; GEODATA
    License

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

    Area covered
    Description

    PLEASE NOTE: These data do not include data over Tasmania. Please see links relevant to that area.

    GEODATA TOPO 250K Series 3 is a vector representation of the major topographic features appearing on the 1:250,000 scale NATMAPs supplied in Shape file format and is designed for use in a range of commercial GIS software. Data is arranged within specific themes. All data is based on the GDA94 coordinate system.

    GEODATA TOPO 250K Series 3 is available as a free download product in Personal Geodatabase, ArcView Shapefile or MapInfo TAB file formats. Each package includes data arranged in ten main themes - cartography, elevation, framework, habitation, hydrography, infrastructure, terrain, transport, utility and vegetation. Data is also available as GEODATA TOPO 250K Series 3 for Google Earth in kml format for use on Google Earth TM Mapping Service.

    Product Specifications

    Themes: Cartography, Elevation, Framework, Habitation, Hydrography, Infrastructure, Terrain, Transport, Utility and Vegetation

    Coverage: National (Powerlines not available in South Australia)

    Currency: Data has a currency of less than five years for any location

    Coordinates: Geographical

    Datum: Geocentric Datum of Australia (GDA94)

    Formats: Personal Geodatabase, kml, Shapefile and MapInfo TAB

    Release Date: 26 June 2006

  15. H

    United States Aquifer Database

    • hydroshare.org
    • beta.hydroshare.org
    • +1more
    zip
    Updated Apr 19, 2022
    + more versions
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    Merhawi GebreEgziabher; Scott Jasechko; Debra Perrone (2022). United States Aquifer Database [Dataset]. https://www.hydroshare.org/resource/d2260651b51044d0b5cb2d293d21af08
    Explore at:
    zip(3.7 MB)Available download formats
    Dataset updated
    Apr 19, 2022
    Dataset provided by
    HydroShare
    Authors
    Merhawi GebreEgziabher; Scott Jasechko; Debra Perrone
    License

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

    Area covered
    Description

    Here we present a geospatial dataset representing local- and regional-scale aquifer system boundaries, defined on the basis of an extensive literature review and published in GebreEgziabher et al. (2022). Nature Communications, 13, 2129, https://www.nature.com/articles/s41467-022-29678-7

    The database contains 440 polygons, each representing one study area analyzed in GebreEgziabher et al. (2022). The attribute table associated with the shapefile has two fields (column headings): (1) aquifer system title (Ocala Uplift sub-area of the broader Floridan Aquifer System), and (2) broader aquifer system title (e.g., the Floridan Aquifer System).

  16. o

    UK Power Networks Licence Area HV Overhead Lines shapefile

    • ukpowernetworks.opendatasoft.com
    Updated Jul 10, 2024
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    (2024). UK Power Networks Licence Area HV Overhead Lines shapefile [Dataset]. https://ukpowernetworks.opendatasoft.com/explore/dataset/ukpn-hv-overhead-lines-shapefile/
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    Dataset updated
    Jul 10, 2024
    License

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

    Description

    IntroductionThis dataset contains the geographical locations of High Voltage overhead lines that are in use in the Eastern Power Network (EPN) and South Eastern Power Network (SPN) licence areas. Locations are available as Geo Point (latitude and longitude) and Geo Shape. The dataset can be downloaded as a shapefile.

    Methodological Approach

      Data Extraction: Shapefiles are extracted from our geospatial mapping system - NetMap.
      Vectorisation: Shapefiles will be regularly updated to account for vectorisation updates
    

    Quality Control Statement The data is provided "as is". Please be aware that not all locations are fully vectorised yet, so the dataset provides only partial coverage. Refer to our EPN Vectorisation Delivery Plan.

    Assurance Statement The Open Data team has checked the data against source to ensure data accuracy and consistency. The data domain owners have checked their respective data aspects.

    Other Download dataset information: Metadata (JSON)

    Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/To view this data please register and login.

  17. o

    New political and administrative boundaries Shapefile of Nepal - Dataset -...

    • opendatanepal.com
    Updated Jun 4, 2020
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    (2020). New political and administrative boundaries Shapefile of Nepal - Dataset - Open Data Nepal [Dataset]. https://opendatanepal.com/dataset/new-political-and-administrative-boundaries-shapefile-of-nepal
    Explore at:
    Dataset updated
    Jun 4, 2020
    License

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

    Area covered
    Nepal
    Description

    New political and administrative boundaries Shapefile of Nepal. Downloaded and republished from the Survey Department website.

  18. G

    Risk Factor Analysis in Low-Temperature Geothermal Play Fairway Analysis for...

    • gdr.openei.org
    • data.openei.org
    • +5more
    archive, data +5
    Updated Sep 30, 2015
    + more versions
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    Teresa E.; Teresa E. (2015). Risk Factor Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin (GPFA-AB) [Dataset]. http://doi.org/10.15121/1261942
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    image, archive, text_document, data, data_map, website, image_documentAvailable download formats
    Dataset updated
    Sep 30, 2015
    Dataset provided by
    Geothermal Data Repository
    USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
    Cornell University
    Authors
    Teresa E.; Teresa E.
    License

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

    Description

    This submission contains information used to compute the risk factors for the GPFA-AB project. The risk factors are natural reservoir quality, thermal resource quality, potential for induced seismicity, and utilization. The methods used to combine the risk factors included taking the product, sum, and minimum of the four risk factors. The files are divided into images, rasters, shapefiles, and supporting information. The image files show what the raster and shapefiles should look like. The raster files contain the input risk factors, calculation of the scaled risk factors, and calculation of the combined risk factors. The shapefiles include definition of the fairways, definition of the US Census Places, the center of the raster cells, and locations of industries. Supporting information contains details of the calculations or processing used in generating the files. An image of the raster will have the same name except *.png as the file ending instead of *.tif. Images with 'fairways' or 'industries' added to the name are composed of a raster with the relevant shapefile added.

    The file About_GPFA-AB_Phase1RiskAnalysisTask5DataUpload.pdf contains information the citation, special use considerations, authorship, etc.

    See 'GPFA-AB.zip' at bottom for compressed and organized version of the files associated with this submission

    More details (including location) on each file are given in the spreadsheet 'list_of_contents.csv' in the folder 'SupportingInfo'

    Code used to calculate values is available: https://github.com/calvinwhealton/geothermal_pfa under the folder 'combining_metrics' - See link below

  19. TIGER/Line Shapefile, 2023, County, Grenada County, MS, All Lines

    • catalog.data.gov
    Updated Dec 15, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2023). TIGER/Line Shapefile, 2023, County, Grenada County, MS, All Lines [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2023-county-grenada-county-ms-all-lines
    Explore at:
    Dataset updated
    Dec 15, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Grenada County
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Edge refers to the linear topological primitives that make up MTDB. The All Lines Shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately. The All Lines Shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value.

  20. e

    Simple download service (Atom) of the dataset: N_DOCUMENT_PPRN_045.shp

    • data.europa.eu
    unknown
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    Simple download service (Atom) of the dataset: N_DOCUMENT_PPRN_045.shp [Dataset]. https://data.europa.eu/data/datasets/fr-120066022-srv-7db3356a-9518-438b-a66d-62d35cb2638d
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    unknownAvailable download formats
    Description

    geographical table containing the contours of all the PPRi of the Loiret

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Stanford NLP (2023). SHP [Dataset]. https://huggingface.co/datasets/stanfordnlp/SHP

SHP

stanfordnlp/SHP

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17 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Mar 1, 2023
Dataset authored and provided by
Stanford NLP
Description

🚢 Stanford Human Preferences Dataset (SHP)

If you mention this dataset in a paper, please cite the paper: Understanding Dataset Difficulty with V-Usable Information (ICML 2022).

  Summary

SHP is a dataset of 385K collective human preferences over responses to questions/instructions in 18 different subject areas, from cooking to legal advice. The preferences are meant to reflect the helpfulness of one response over another, and are intended to be used for training… See the full description on the dataset page: https://huggingface.co/datasets/stanfordnlp/SHP.

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