100+ datasets found
  1. USACE GIS Open Data Portal

    • data.cnra.ca.gov
    Updated Jul 18, 2020
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    United States Army Corps of Engineers (2020). USACE GIS Open Data Portal [Dataset]. https://data.cnra.ca.gov/dataset/usace-gis-open-data-portal
    Explore at:
    Dataset updated
    Jul 18, 2020
    Dataset authored and provided by
    United States Army Corps of Engineershttp://www.usace.army.mil/
    Description

    The U.S. Army Corps of Engineers Geospatial Open Data provides shared and trusted USACE geospatial data, services and applications for use by our partner agencies and the public.

  2. a

    OSE PODs

    • geospatialdata-ose.opendata.arcgis.com
    • hub.arcgis.com
    Updated Oct 6, 2017
    + more versions
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    New Mexico Office of the State Engineer (2017). OSE PODs [Dataset]. https://geospatialdata-ose.opendata.arcgis.com/datasets/ose-pods
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    Dataset updated
    Oct 6, 2017
    Dataset authored and provided by
    New Mexico Office of the State Engineer
    License

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

    Area covered
    Description

    This dataset has a data dictionary that can be downloaded here. The NM Office of the State Engineer (OSE) "Point of Diversions" (POD) layer includes well locations, surface declarations, or surface permits. These data were extracted from the OSE W.A.T.E.R.S. (Water Administration Technical Engineering Resource System) database and geo-located (mapped). These data have varying degrees of accuracy and have not been validated. This message is to alert users of this data to various changes regarding how this POD data is generated and maintained by the NM Office of the State Engineer. In addition, all attribute fields are fully described in the metadata, including descriptions of field codes. Please read the metadata accompanying this GIS data layer for further information. Any questions regarding this GIS data should be directed NM OSE Information Technology Systems Bureau GIS at the contact information given below. Stephen N. Hayes NMOSE ITSB GIS Data Manager(505) 827-6321 PO Box 25102 Santa Fe, NM 87504 stephen.hayes@ose.nm.gov

  3. n

    SnowEx20 Grand Mesa Reference GIS Data Sets V001

    • cmr.earthdata.nasa.gov
    • nsidc.org
    • +4more
    not provided
    Updated Oct 10, 2024
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    (2024). SnowEx20 Grand Mesa Reference GIS Data Sets V001 [Dataset]. http://doi.org/10.5067/YDZXY4Q79VIJ
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    not providedAvailable download formats
    Dataset updated
    Oct 10, 2024
    Time period covered
    Sep 21, 2019 - Feb 14, 2020
    Area covered
    Description

    This data set contains geolocation information of the infrastructure locations for the SnowEx20 Intensive Observation Period (IOP) and Time Series (TS) campaigns. Available scientific infrastructure locations in this data set are tower and sensor locations, aircraft flight lines, planned and actual snow pit locations, and time-lapse camera locations. Additionally, this data set contains areal snow depth and tree density classification matrix over the Grand Mesa, CO study area.

  4. Engineering Regions

    • hub.arcgis.com
    • data-cdot.opendata.arcgis.com
    Updated Feb 14, 2019
    + more versions
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    CDOT ArcGIS Online (2019). Engineering Regions [Dataset]. https://hub.arcgis.com/datasets/318c6052cfc944abb10ec8ca7a58462c
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    Dataset updated
    Feb 14, 2019
    Dataset provided by
    Authors
    CDOT ArcGIS Online
    License

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

    Area covered
    Description

    DescriptionFeatures in this dataset represent CDOT Engineering Regions for the State of Colorado. Features are represented by polygon geographic shapes.

        Last Update
        2022
    
    
        Update FrequencyAs needed
    
    
        Data Owner
        Division of Transportation Development
    
    
        Data Contact
        GIS Support Unit
    
    
        Collection Method
    
    
    
        Projection
        NAD83 / UTM zone 13N
    
    
        Coverage Area
        Statewide
    
    
        Temporal
    
    
    
        Disclaimer/Limitations
        There are no restrictions and legal prerequisites for using the data set. The State of Colorado assumes no liability relating to the completeness, correctness, or fitness for use of this data.
    
  5. Urban Road Network Data

    • figshare.com
    zip
    Updated May 30, 2023
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    Urban Road Networks (2023). Urban Road Network Data [Dataset]. http://doi.org/10.6084/m9.figshare.2061897.v1
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    zipAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Urban Road Networks
    License

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

    Description

    Tool and data set of road networks for 80 of the most populated urban areas in the world. The data consist of a graph edge list for each city and two corresponding GIS shapefiles (i.e., links and nodes).Make your own data with our ArcGIS, QGIS, and python tools available at: http://csun.uic.edu/codes/GISF2E.htmlPlease cite: Karduni,A., Kermanshah, A., and Derrible, S., 2016, "A protocol to convert spatial polyline data to network formats and applications to world urban road networks", Scientific Data, 3:160046, Available at http://www.nature.com/articles/sdata201646

  6. Filtered global GEBCO 2014 bathymetry/topography

    • figshare.com
    bin
    Updated Jun 1, 2023
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    Alexandros Avdis (2023). Filtered global GEBCO 2014 bathymetry/topography [Dataset]. http://doi.org/10.6084/m9.figshare.7094021.v3
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    binAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    figshare
    Authors
    Alexandros Avdis
    License

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

    Description

    Filtered global GEBCO 2014 bathymetry/topography raster, intended for qmesh tutorials.

  7. T

    Development Engineering - Large Lots

    • internal.open.piercecountywa.gov
    • open.piercecountywa.gov
    • +2more
    Updated Jan 13, 2025
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    (2025). Development Engineering - Large Lots [Dataset]. https://internal.open.piercecountywa.gov/dataset/Development-Engineering-Large-Lots/qdcv-6g9t
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    application/rssxml, csv, tsv, xml, application/rdfxml, application/geo+json, kmz, kmlAvailable download formats
    Dataset updated
    Jan 13, 2025
    Description

    Polygons of active and historic large lot development in unincorporated Pierce County. Please read metadata (https://matterhorn.piercecountywa.gov/GISmetadata/pdbplandev_large_lots.html) for additional information. Any use or data download constitutes acceptance of the Terms of Use (https://matterhorn.piercecountywa.gov/Disclaimer/PierceCountyGISDataTermsofUse.pdf).

  8. GISF2E: ArcGIS, QGIS, and python tools and Tutorial

    • figshare.com
    pdf
    Updated Jun 2, 2023
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    Urban Road Networks (2023). GISF2E: ArcGIS, QGIS, and python tools and Tutorial [Dataset]. http://doi.org/10.6084/m9.figshare.2065320.v3
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Urban Road Networks
    License

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

    Description

    ArcGIS tool and tutorial to convert the shapefiles into network format. The latest version of the tool is available at http://csun.uic.edu/codes/GISF2E.htmlUpdate: we now have added QGIS and python tools. To download them and learn more, visit http://csun.uic.edu/codes/GISF2E.htmlPlease cite: Karduni,A., Kermanshah, A., and Derrible, S., 2016, "A protocol to convert spatial polyline data to network formats and applications to world urban road networks", Scientific Data, 3:160046, Available at http://www.nature.com/articles/sdata201646

  9. a

    US Army Corps of Engineers (USACE) Civil Works Districts

    • azgeo-data-hub-agic.hub.arcgis.com
    • hub.arcgis.com
    • +3more
    Updated Aug 27, 2024
    + more versions
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    GeoPlatform ArcGIS Online (2024). US Army Corps of Engineers (USACE) Civil Works Districts [Dataset]. https://azgeo-data-hub-agic.hub.arcgis.com/datasets/geoplatform::us-army-corps-of-engineers-usace-civil-works-districts
    Explore at:
    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    GeoPlatform ArcGIS Online
    Area covered
    North Pacific Ocean, Pacific Ocean
    Description

    Polygons showing USACE Civil Works District boundaries. This dataset was digitized from the NRCS Watershed Boundary Dataset (WBD). Where districts follow administrative boundaries, such as County and State lines, National Atlas and Census datasets were used. USACE District GIS POCs also submitted data to incorporate into this dataset. This dataset has been simplified +/- 30 feet to reduce file size and speed up drawing time. 05/05/20 - Update to show new LRC boundary. Minor change between LRL and LRH. 07/31/24 - Update to show new SAA Caribbean District.

  10. C

    GIS Mapping files

    • data.birminghamal.gov
    geojson, html, shp
    Updated Jan 9, 2019
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    GIS Mapping files [Dataset]. https://data.birminghamal.gov/dataset/gis-mapping-files
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    shp, geojson, html, shp(444998), geojson(1853069), shp(377381), geojson(1539369)Available download formats
    Dataset updated
    Jan 9, 2019
    Dataset authored and provided by
    Birmingham Planning & Engineering
    License

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

    Description

    Planning, Engineering & Permitting - GIS Mapping files

  11. T

    Development Engineering - Commercial

    • open.piercecountywa.gov
    • share-landadm.hub.arcgis.com
    • +1more
    Updated Feb 17, 2025
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    (2025). Development Engineering - Commercial [Dataset]. https://open.piercecountywa.gov/dataset/Development-Engineering-Commercial/5658-xtv4
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    csv, tsv, application/rssxml, xml, application/rdfxml, kmz, kml, application/geo+jsonAvailable download formats
    Dataset updated
    Feb 17, 2025
    Description

    Polygons of active and historic commercial development projects in unincorporated Pierce County. Please read metadata (https://matterhorn.piercecountywa.gov/GISmetadata/pdbplandev_commercial.html) for additional information. Any use or data download constitutes acceptance of the Terms of Use (https://matterhorn.piercecountywa.gov/Disclaimer/PierceCountyGISDataTermsofUse.pdf).

  12. a

    Bureau of Engineering Districts

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • geohub.lacity.org
    • +4more
    Updated Nov 14, 2015
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    boegis_lahub (2015). Bureau of Engineering Districts [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/1a8a091f7e8b42479b10493233de83e3
    Explore at:
    Dataset updated
    Nov 14, 2015
    Dataset authored and provided by
    boegis_lahub
    Area covered
    Description

    Boundaries for the Bureau of Engineering District Offices.

  13. w

    Data from: Storm Drain System

    • data.wu.ac.at
    • data.lacity.org
    • +1more
    csv, json, kml, kmz +1
    Updated May 4, 2018
    + more versions
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    City of Los Angeles (2018). Storm Drain System [Dataset]. https://data.wu.ac.at/schema/data_gov/Y2ZmOGZlYzktZmY0YS00OTlkLWI4NGUtYTJiMjE3YjA2MDlk
    Explore at:
    kmz, zip, csv, kml, jsonAvailable download formats
    Dataset updated
    May 4, 2018
    Dataset provided by
    City of Los Angeles
    Description

    Official Storm Drain System in the City of Los Angeles created and maintained by the Bureau of Engineering / GIS Mapping Division. GIS data contains the storm pipes and the storm drain inlets.

  14. a

    Engineering Stations

    • hub.arcgis.com
    Updated Sep 25, 2014
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    County of Summit GIS (2014). Engineering Stations [Dataset]. https://hub.arcgis.com/maps/bbc5fad31f92444eb68a184a21abc727
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    Dataset updated
    Sep 25, 2014
    Dataset authored and provided by
    County of Summit GIS
    Area covered
    Description

    Dataset created and maintained by the Summit County Engineer showing engineering stations within the Engineer's jurisdiction.

  15. d

    Regulation application to GIS parcel data, Ginza - Tokyo

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 8, 2023
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    Solheiro, Hermenegildo (2023). Regulation application to GIS parcel data, Ginza - Tokyo [Dataset]. http://doi.org/10.7910/DVN/YRZRF0
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Solheiro, Hermenegildo
    Description

    3D Simulation and Geometric Assessment of The Effects of Law and Regulations on The Urban Fabric: Testing The Block-Check Index in Ginza, Tokyo

  16. n

    Reduced-Resolution QuickBird Imagery and Related GIS Layers for Barrow,...

    • cmr.earthdata.nasa.gov
    • data.nasa.gov
    • +3more
    not provided
    Updated Feb 26, 2024
    + more versions
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    (2024). Reduced-Resolution QuickBird Imagery and Related GIS Layers for Barrow, Alaska, USA, Version 1 [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1386246137-NSIDCV0.html
    Explore at:
    not providedAvailable download formats
    Dataset updated
    Feb 26, 2024
    Time period covered
    Aug 1, 2002 - Aug 2, 2002
    Area covered
    Description

    This data set contains reduced-resolution QuickBird imagery and geospatial data for the entire Barrow QuickBird image area 156.15° W - 157.07° W, 71.15° N - 71.41° N) and the Barrow B4 Quadrangle (156.29° W - 156.89° W, 71.25° N - 71.40° N), for use in Geographic Information Systems (GIS) and remote sensing software. The original QuickBird data sets were acquired by DigitialGlobe from 1 to 2 August 2002, and consist of orthorectified satellite imagery. Federal Geographic Data Committee (FGDC)-compliant metadata for all value-added data sets are provided in text, HTML, and XML formats.

    Accessory layers include: 1:250,000- and 1:63,360-scale USGS Digital Raster Graphic (DRG) mosaic images (GeoTIFF format); 1:250,000- and 1:63,360-scale USGS quadrangle index maps (ESRI Shapefile format); an index map for the 62 QuickBird tiles (ESRI Shapefile format); and a simple polygon layer of the extent of the Barrow QuickBird image area and the Barrow B4 quadrangle area (ESRI Shapefile format).

    The baseline geospatial data support education, outreach, and multi-disciplinary research of environmental change in Barrow, which is an area of focused scientific interest.

    Data are available either via FTP or on CD-ROM.

  17. T

    Development Engineering - Mobile Homes

    • open.piercecountywa.gov
    • internal.open.piercecountywa.gov
    • +1more
    Updated Nov 24, 2024
    + more versions
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    (2024). Development Engineering - Mobile Homes [Dataset]. https://open.piercecountywa.gov/dataset/Development-Engineering-Mobile-Homes/rci8-93ja
    Explore at:
    application/rssxml, csv, xml, tsv, application/rdfxml, kml, application/geo+json, kmzAvailable download formats
    Dataset updated
    Nov 24, 2024
    Description

    Polygons of active and historic mobile home development in unincorporated Pierce County. Please read metadata (https://matterhorn.piercecountywa.gov/GISmetadata/pdbplandev_mobile_homes.html) for additional information. Any use or data download constitutes acceptance of the Terms of Use (https://matterhorn.piercecountywa.gov/disclaimer/PierceCountyGISDataTermsofUse.pdf).Please see provided hyperlinks for metadata and Terms of Use.

  18. e

    GIS & Remote Sensing (CE(PE)801A), 8th Semester, Civil Engineering, MAKAUT |...

    • paper.erudition.co.in
    html
    Updated Mar 25, 2025
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    Einetic (2025). GIS & Remote Sensing (CE(PE)801A), 8th Semester, Civil Engineering, MAKAUT | Erudition Paper [Dataset]. https://paper.erudition.co.in/makaut/btech-in-civil-engineering/8/gis-and-remote-sensing
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Mar 25, 2025
    Dataset authored and provided by
    Einetic
    License

    https://paper.erudition.co.in/termshttps://paper.erudition.co.in/terms

    Description

    Question Paper Solutions of GIS & Remote Sensing (CE(PE)801A),8th Semester,Civil Engineering,Maulana Abul Kalam Azad University of Technology

  19. m

    United States Army Corps of Engineers (USACE) Sea Level Analysis Tool

    • gis.data.mass.gov
    Updated Mar 20, 2024
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    MassGIS - Bureau of Geographic Information (2024). United States Army Corps of Engineers (USACE) Sea Level Analysis Tool [Dataset]. https://gis.data.mass.gov/items/0faa9c14ee5d4ef5a4c64da3beafa34b
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    Dataset updated
    Mar 20, 2024
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Description

    United States Army Corps of Engineers (USACE) Sea Level Analysis ToolThe Sea Level Analysis Tool (SLAT) is a user-friendly web application that enables users to visualize observed sea level data, compare observations to projected sea level change, and estimate when tidal and extreme water levels will intersect with elevation thresholds related to local infrastructure (e.g., roads, power generating facilities, dunes). SLAT facilitates the application of United States Army Corps of Engineers (USACE) Engineer Regulation (ER) 1100-2-8162 and Engineering Pamphlet (EP) 1100-2-1, which provide guidance for incorporating sea level change into USACE projects.

  20. m

    Data from: A GIS PROTOCOL FOR ENHANCING THE SELECTION OF AGRICULTURAL RUNOFF...

    • data.mendeley.com
    Updated May 9, 2022
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    Luke Kehoe (2022). A GIS PROTOCOL FOR ENHANCING THE SELECTION OF AGRICULTURAL RUNOFF SAMPLING LOCATIONS AND PREDICTING THE LOCATIONS OF POTENTIAL POLLUTANT TRANSPORT IN THE UPLAND ENVIRONMENT [Dataset]. http://doi.org/10.17632/wdjzftxyfd.1
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    Dataset updated
    May 9, 2022
    Authors
    Luke Kehoe
    License

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

    Description

    This study presents an ArcGIS geoprocessing protocol for quickly processing large amounts of data from publicly available government sources to consider both water quality standards (WQS) and nonpoint pollution source (NPS) control, on a watershed-by-watershed basis to administratively predict locations where nonpoint source pollutants may contribute to the impairment of downstream waters and locations where nonpoint source pollutants are not expected to contribute to the impairment of downstream waters. This dissertation also presents an ArcGIS geoprocessing protocol to calculate the hydrological response time of a watershed and to predict the potential for soil erosion and nonpoint source pollutant movement on a landscape scale. The standardized methodologies employed by the protocol allow for its use in various geographic regions. The methodology has been performed on sites in Linn County and Boone County, Missouri, and produces results consistent with those expected from other widely accepted methods. These protocols were developed studying the movement of atrazine. but may be used for various nonpoint source pollutants that are water soluble, have an affinity to soil binding, and associated with a particular land use. All data and code are available in Mendeley Data (doi: 10.17632/wdjzftxyfd.1).

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United States Army Corps of Engineers (2020). USACE GIS Open Data Portal [Dataset]. https://data.cnra.ca.gov/dataset/usace-gis-open-data-portal
Organization logo

USACE GIS Open Data Portal

Explore at:
Dataset updated
Jul 18, 2020
Dataset authored and provided by
United States Army Corps of Engineershttp://www.usace.army.mil/
Description

The U.S. Army Corps of Engineers Geospatial Open Data provides shared and trusted USACE geospatial data, services and applications for use by our partner agencies and the public.

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