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. Urban Road Network Data

    • figshare.com
    • resodate.org
    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
    Explore at:
    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

  3. a

    Who We Are - Geo Engineering

    • hub.arcgis.com
    Updated Oct 2, 2025
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    King County (2025). Who We Are - Geo Engineering [Dataset]. https://hub.arcgis.com/documents/kingcounty::who-we-are-geo-engineering?uiVersion=content-views
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    Dataset updated
    Oct 2, 2025
    Dataset authored and provided by
    King County
    Area covered
    Description

    This page is part of the GIS Center workplan and gives a summary of the Geo Engineering team and team member bios.

  4. e

    GIS

    • paper.erudition.co.in
    html
    Updated May 11, 2023
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    Einetic (2023). GIS [Dataset]. https://paper.erudition.co.in/makaut/btech-in-civil-engineering/8/gis-and-remote-sensing
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    htmlAvailable download formats
    Dataset updated
    May 11, 2023
    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

  5. e

    Spatial Data Analysis

    • paper.erudition.co.in
    html
    Updated May 11, 2023
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    Einetic (2023). Spatial Data Analysis [Dataset]. https://paper.erudition.co.in/makaut/btech-in-civil-engineering/8/gis-and-remote-sensing
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    htmlAvailable download formats
    Dataset updated
    May 11, 2023
    Dataset authored and provided by
    Einetic
    License

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

    Description

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

  6. a

    Engineering

    • gis-hub-danvilleil.hub.arcgis.com
    Updated Oct 4, 2018
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    City of Danville, Illinois (2018). Engineering [Dataset]. https://gis-hub-danvilleil.hub.arcgis.com/datasets/engineering
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    Dataset updated
    Oct 4, 2018
    Dataset authored and provided by
    City of Danville, Illinois
    Description

    The City of Danville, Illinois application displaying feature layers related to engineering uses. Easements, utilities and survey points are represented.

  7. a

    eBook: Lindsey the GIS Specialist

    • edu.hub.arcgis.com
    Updated Mar 26, 2019
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    Education and Research (2019). eBook: Lindsey the GIS Specialist [Dataset]. https://edu.hub.arcgis.com/documents/4915f2532b1144089914b04dc544800a
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    Dataset updated
    Mar 26, 2019
    Dataset authored and provided by
    Education and Research
    Area covered
    Description

    Bolton & Menk, an engineering planning and consulting firm from the Midwestern United States has released a series of illustrated children’s books as a way of helping young people discover several different professions that typically do not get as much attention as other more traditional ones do.Topics of the award winning book series include landscape architecture, civil engineering, water resource engineering, urban planning and now Geographic Information Systems (GIS). The books are available free online in digital format, and easily accessed via a laptop, smart phone or tablet.The book Lindsey the GIS Specialist – A GIS Mapping Story Tyler Danielson, covers some the basics of what geographic information is and the type of work that a GIS Specialist does. It explains what the acronym GIS means, the different types of geospatial data, how we collect data, and what some of the maps a GIS Specialist creates would be used for.Click here to check out the GIS Specialist – A GIS Mapping Story e-book

  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. m

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

    • data.mendeley.com
    Updated Mar 21, 2025
    + more versions
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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
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    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.

  10. d

    SnowEx23 GIS References and Field Maps, Version 1

    • search.dataone.org
    • nsidc.org
    • +1more
    Updated Aug 30, 2025
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    National Snow and Ice Data Center (2025). SnowEx23 GIS References and Field Maps, Version 1 [Dataset]. http://doi.org/10.5067/72NS04PXY5UN
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    Dataset updated
    Aug 30, 2025
    Dataset provided by
    National Snow and Ice Data Center (NSIDC)
    Authors
    National Snow and Ice Data Center
    Description

    This dataset contains geolocation information for ground-based and airborne measurements collected in Alaska, USA as part of the NASA SnowEx 2023 campaign (Vuyovich et al., 2024). The purpose of this compilation is to facilitate the use of SnowEx 2023 Alaska data by providing Geographical Information System (GIS) files in one location.

  11. e

    Database and Coordinate System

    • paper.erudition.co.in
    html
    Updated May 11, 2023
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    Einetic (2023). Database and Coordinate System [Dataset]. https://paper.erudition.co.in/makaut/btech-in-civil-engineering/8/gis-and-remote-sensing
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    htmlAvailable download formats
    Dataset updated
    May 11, 2023
    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

  12. M

    Mapping Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Nov 9, 2025
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    Data Insights Market (2025). Mapping Software Report [Dataset]. https://www.datainsightsmarket.com/reports/mapping-software-1434698
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Nov 9, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Explore the dynamic Mapping Software market, driven by engineering and industrial design needs. Discover growth drivers, key trends, restraints, and leading companies shaping the future of geospatial solutions from 2019-2033.

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

    • figshare.com
    • resodate.org
    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
    Figsharehttp://figshare.com/
    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.

  14. w

    U.S. Army Corps of Engineers (USACE) Civil Works Districts

    • data.wu.ac.at
    • hifld-geoplatform.opendata.arcgis.com
    Updated Jul 3, 2018
    + more versions
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    Department of Homeland Security (2018). U.S. Army Corps of Engineers (USACE) Civil Works Districts [Dataset]. https://data.wu.ac.at/odso/data_gov/OTdiZDhlNGUtMGYwNy00N2I3LWE5YjItY2I3MmQ1NzNmZTk2
    Explore at:
    Dataset updated
    Jul 3, 2018
    Dataset provided by
    Department of Homeland Security
    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.

  15. Annual Highway Improvement Program - Engineering

    • gis-idot.opendata.arcgis.com
    • hub.arcgis.com
    Updated Nov 18, 2019
    + more versions
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    Illinois Department of Transportation (2019). Annual Highway Improvement Program - Engineering [Dataset]. https://gis-idot.opendata.arcgis.com/datasets/annual-highway-improvement-program-engineering
    Explore at:
    Dataset updated
    Nov 18, 2019
    Dataset authored and provided by
    Illinois Department of Transportationhttp://www.dot.il.gov/
    License

    Attribution-ShareAlike 2.0 (CC BY-SA 2.0)https://creativecommons.org/licenses/by-sa/2.0/
    License information was derived automatically

    Area covered
    Description

    IDOT strives to ensure that Illinois residents, businesses, and visitors are provided with a transportation system that is safe, accessible, sustainable, environmentally conscious, and makes connections whenever possible with the goal to someday offer a seamless travel experience.The Annual Highway Improvement Program is designed to provide an overview of the program, as well as a current listing of all projects in an effort to inform the general public and aid local transportation stakeholders and business partners in specific planning activities.Each year, IDOT develops the Annual Highway Improvement Program, also referred to as the Proposed Improvements for Illinois Highways. This publication presents a more detailed account of the applicable fiscal year’s highway program element, originally presented in the related Multi-Modal Multi-Year Transportation Improvement Program.

  16. e

    Advanced Digital Image Processing

    • paper.erudition.co.in
    html
    Updated May 11, 2023
    + more versions
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    Einetic (2023). Advanced Digital Image Processing [Dataset]. https://paper.erudition.co.in/makaut/btech-in-civil-engineering/8/gis-and-remote-sensing
    Explore at:
    htmlAvailable download formats
    Dataset updated
    May 11, 2023
    Dataset authored and provided by
    Einetic
    License

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

    Description

    Question Paper Solutions of chapter Advanced Digital Image Processing of GIS & Remote Sensing, 8th Semester , Civil Engineering

  17. a

    Engineering Regions

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Feb 14, 2019
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    CDOT ArcGIS Online (2019). Engineering Regions [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/cdot::engineering-regions
    Explore at:
    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.
    
  18. e

    Advanced Remote Sensing

    • paper.erudition.co.in
    html
    Updated May 11, 2023
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    Einetic (2023). Advanced Remote Sensing [Dataset]. https://paper.erudition.co.in/makaut/btech-in-civil-engineering/8/gis-and-remote-sensing
    Explore at:
    htmlAvailable download formats
    Dataset updated
    May 11, 2023
    Dataset authored and provided by
    Einetic
    License

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

    Description

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

  19. d

    Polygon Data | Marina Polygon Dataset for US & Canada | GIS Maps &...

    • datarade.ai
    Updated Mar 23, 2023
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    Xtract (2023). Polygon Data | Marina Polygon Dataset for US & Canada | GIS Maps & Geospatial Insights [Dataset]. https://datarade.ai/data-products/xtract-io-geometry-data-marinas-in-us-and-canada-xtract
    Explore at:
    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Mar 23, 2023
    Dataset authored and provided by
    Xtract
    Area covered
    Canada, United States
    Description

    This specialized location dataset delivers detailed information about marina establishments. Maritime industry professionals, coastal planners, and tourism researchers can leverage precise location insights to understand maritime infrastructure, analyze recreational boating landscapes, and develop targeted strategies.

    How Do We Create Polygons?

    -All our polygons are manually crafted using advanced GIS tools like QGIS, ArcGIS, and similar applications. This involves leveraging aerial imagery, satellite data, and street-level views to ensure precision. -Beyond visual data, our expert GIS data engineers integrate venue layout/elevation plans sourced from official company websites to construct highly detailed polygons. This meticulous process ensures maximum accuracy and consistency. -We verify our polygons through multiple quality assurance checks, focusing on accuracy, relevance, and completeness.

    What's More?

    -Custom Polygon Creation: Our team can build polygons for any location or category based on your requirements. Whether it’s a new retail chain, transportation hub, or niche point of interest, we’ve got you covered. -Enhanced Customization: In addition to polygons, we capture critical details such as entry and exit points, parking areas, and adjacent pathways, adding greater context to your geospatial data. -Flexible Data Delivery Formats: We provide datasets in industry-standard GIS formats like WKT, GeoJSON, Shapefile, and GDB, making them compatible with various systems and tools. -Regular Data Updates: Stay ahead with our customizable refresh schedules, ensuring your polygon data is always up-to-date for evolving business needs.

    Unlock the Power of POI and Geospatial Data

    With our robust polygon datasets and point-of-interest data, you can: -Perform detailed market and location analyses to identify growth opportunities. -Pinpoint the ideal locations for your next store or business expansion. -Decode consumer behavior patterns using geospatial insights. -Execute location-based marketing campaigns for better ROI. -Gain an edge over competitors by leveraging geofencing and spatial intelligence.

    Why Choose LocationsXYZ?

    LocationsXYZ is trusted by leading brands to unlock actionable business insights with our accurate and comprehensive spatial data solutions. Join our growing network of successful clients who have scaled their operations with precise polygon and POI datasets. Request your free sample today and explore how we can help accelerate your business growth.

  20. d

    Data from: Engineering Design Document

    • catalog.data.gov
    • gimi9.com
    • +1more
    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.

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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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