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. 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/datasets/united-states-army-corps-of-engineers-usace-sea-level-analysis-tool
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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.

  3. d

    Data from: Engineering Design Document

    • catalog.data.gov
    • gimi9.com
    • +2more
    Updated Apr 19, 2025
    + more versions
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    City of Sioux Falls GIS (2025). Engineering Design Document [Dataset]. https://catalog.data.gov/dataset/engineering-design-document
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    Dataset updated
    Apr 19, 2025
    Dataset provided by
    City of Sioux Falls GIS
    Description

    Link to Engineering Design Documents for Sioux Falls, South Dakota.

  4. a

    Engineering Plans

    • gis-montereyco.opendata.arcgis.com
    Updated Jan 10, 2025
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    County of Monterey (2025). Engineering Plans [Dataset]. https://gis-montereyco.opendata.arcgis.com/datasets/engineering-plans-1
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    Dataset updated
    Jan 10, 2025
    Dataset authored and provided by
    County of Monterey
    Area covered
    Description

    REQUIRED: A brief narrative summary of the data set.

  5. c

    Engineering Regions

    • geodata.colorado.gov
    • hub.arcgis.com
    Updated Feb 14, 2019
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    CDOT ArcGIS Online (2019). Engineering Regions [Dataset]. https://geodata.colorado.gov/maps/cdot::engineering-regions
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    Dataset updated
    Feb 14, 2019
    Dataset authored and provided by
    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
        2025
    
    
        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.
    
  6. e

    GIS

    • paper.erudition.co.in
    html
    Updated Aug 22, 2025
    + more versions
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    Einetic (2023). GIS [Dataset]. https://paper.erudition.co.in/makaut/btech-in-civil-engineering/8/gis-and-remote-sensing
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Aug 22, 2025
    Dataset authored and provided by
    Einetic
    License

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

    Description

    Question Paper Solutions of chapter GIS of GIS & Remote Sensing, 8th Semester , Civil Engineering

  7. 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/
    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

  8. d

    GIS html maps of commodity flows passing, originating and destined to Idaho

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 22, 2023
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    Hernandez, Salvador (2023). GIS html maps of commodity flows passing, originating and destined to Idaho [Dataset]. http://doi.org/10.7910/DVN/MM4JW9
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    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Hernandez, Salvador
    Description

    The intent of the GIS based html maps of commodity flows passing, originating and destined to Idaho is to provide an overview of key commodities that utilize Idaho’s roadway network to better understand freight demand and to provide transportation planners in Idaho with the necessary data to conduct develop and improve freight forecasting models.

  9. f

    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.

  10. n

    SnowEx20 Grand Mesa Reference GIS Data Sets V001

    • cmr.earthdata.nasa.gov
    • nsidc.org
    • +4more
    not provided
    Updated Aug 2, 2025
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    (2025). 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
    Aug 2, 2025
    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.

  11. f

    A Geospatial and Binomial Logistic Regression Model to Prioritize Sampling...

    • figshare.com
    zip
    Updated Jul 29, 2022
    + more versions
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    Sweta Ojha; Kelly Pennell; Ariel Robinson; Nader Rezaei; Anna Hoover; Ying Li; Christian Powell; Hunter Moseley; Patrick Thompson (2022). A Geospatial and Binomial Logistic Regression Model to Prioritize Sampling for Per- and Polyfluorinated Alkyl Substances (PFAS) in Public Water Systems-Dataset [Dataset]. http://doi.org/10.6084/m9.figshare.16560144.v5
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jul 29, 2022
    Dataset provided by
    figshare
    Authors
    Sweta Ojha; Kelly Pennell; Ariel Robinson; Nader Rezaei; Anna Hoover; Ying Li; Christian Powell; Hunter Moseley; Patrick Thompson
    License

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

    Description

    IIt includes data that were used in the manuscript(A Geospatial and Binomial Logistic Regression Model to Prioritize Sampling for Per- and Polyfluorinated Alkyl Substances (PFAS) in Public Water Systems.) It includes layers that were created in online ArcGIS pro in manuscript and result of regression model that was done in the manuscript.

  12. a

    Public Engineering GIS Viewer

    • avon-community-gis-hub-avon-colorado.hub.arcgis.com
    Updated Dec 17, 2024
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    MHiggins6 (2024). Public Engineering GIS Viewer [Dataset]. https://avon-community-gis-hub-avon-colorado.hub.arcgis.com/items/b4f5c392b0e048b2963029cde82e659f
    Explore at:
    Dataset updated
    Dec 17, 2024
    Dataset authored and provided by
    MHiggins6
    Description

    The Experience Builder app provides an intuitive and user-friendly interface for accessing and analyzing GIS data. Key features include:Parcel Search Functionality:A robust search tool allows users to locate parcels by owner, address, or parcel number. This functionality speeds up workflows for property review and planning.Elevation Profile Tool:Users can draw a line across the map to generate an elevation profile, making it easy to analyze terrain changes and assess suitability for construction or infrastructure projects.Print Functionality:The app includes a print tool, enabling users to export customized map views with selected layers and symbology for reports and presentations.Streamlined Layer Access:Organized group layers for Terrain, Elevation, Flood Hazard, and Land Information ensure quick navigation and data retrieval.Interactive visualization tools enable users to toggle layers on/off and customize map views based on specific needs.This application is ideal for professionals who require an interactive, web-based GIS tool to streamline their workflows and enhance data visualization and analysis. Its combination of search, analysis, and export tools ensures accessibility and productivity across engineering and planning projects.

  13. m

    Data from: Data for GIS-based spatial vulnerability analysis in the area of...

    • data.mendeley.com
    Updated Mar 21, 2025
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    Amirehsan Charlang Bakhtyari (2025). Data for GIS-based spatial vulnerability analysis in the area of Alessandria in Italy in case of road network disruption [Dataset]. http://doi.org/10.17632/sg7267bcs6.2
    Explore at:
    Dataset updated
    Mar 21, 2025
    Authors
    Amirehsan Charlang Bakhtyari
    License

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

    Area covered
    Alessandria, Italy
    Description

    The input file contains supply data (based on data from geoportal of piedmont and OSM data) and flood map (based on data from geoportal of piedmont) for the Alessandria area in Italy, detailing both basic and disrupted flood scenarios to be analyzed in GIS software. It includes information on closed bridges during flood events. The output file presents the analysis results for both the basic and disrupted scenarios.

  14. C

    GIS Mapping files

    • data.birminghamal.gov
    geojson, html, shp
    Updated Jan 9, 2019
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    Birmingham Planning & Engineering (2019). GIS Mapping files [Dataset]. https://data.birminghamal.gov/dataset/gis-mapping-files
    Explore at:
    html, shp, geojson, shp(377381), geojson(1853069), shp(444998)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

  15. 2025 Green Card Report for Forest Engineering (gis)

    • myvisajobs.com
    Updated Jan 16, 2025
    + more versions
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    MyVisaJobs (2025). 2025 Green Card Report for Forest Engineering (gis) [Dataset]. https://www.myvisajobs.com/reports/green-card/major/forest-engineering-(gis)/
    Explore at:
    Dataset updated
    Jan 16, 2025
    Dataset provided by
    Authors
    MyVisaJobs
    License

    https://www.myvisajobs.com/terms-of-service/https://www.myvisajobs.com/terms-of-service/

    Variables measured
    Major, Salary, Petitions Filed
    Description

    A dataset that explores Green Card sponsorship trends, salary data, and employer insights for forest engineering (gis) in the U.S.

  16. d

    Storm Pipes

    • catalog.data.gov
    • data.lacity.org
    • +1more
    Updated Dec 7, 2024
    + more versions
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    data.lacity.org (2024). Storm Pipes [Dataset]. https://catalog.data.gov/dataset/storm-pipes
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    Dataset updated
    Dec 7, 2024
    Dataset provided by
    data.lacity.org
    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.

  17. e

    Database and Coordinate System

    • paper.erudition.co.in
    html
    Updated Aug 22, 2025
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    Einetic (2025). Database and Coordinate System [Dataset]. https://paper.erudition.co.in/makaut/btech-in-civil-engineering/8/gis-and-remote-sensing
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Aug 22, 2025
    Dataset authored and provided by
    Einetic
    License

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

    Description

    Question Paper Solutions of chapter Database and Coordinate System of GIS & Remote Sensing, 8th Semester , Civil Engineering

  18. a

    Engineering - Survey Cross Sections

    • canterburymaps-ecan.hub.arcgis.com
    • opendata.canterburymaps.govt.nz
    • +3more
    Updated Sep 21, 2018
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    Canterbury Regional Council (2018). Engineering - Survey Cross Sections [Dataset]. https://canterburymaps-ecan.hub.arcgis.com/datasets/engineering-survey-cross-sections/about
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    Dataset updated
    Sep 21, 2018
    Dataset authored and provided by
    Canterbury Regional Council
    Area covered
    Description

    River Engineering Survey Cross Sections

  19. e

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

    • paper.erudition.co.in
    html
    Updated Aug 22, 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
    Aug 22, 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

  20. n

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

    • cmr.earthdata.nasa.gov
    • data.staging.idas-ds1.appdat.jsc.nasa.gov
    • +2more
    not provided
    Updated Apr 2, 2025
    + more versions
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    (2025). 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
    Apr 2, 2025
    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.

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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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