100+ datasets found
  1. LRS 25.1 Map Package

    • virginiaroads.org
    • data.virginia.gov
    • +1more
    Updated Apr 10, 2025
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    Virginia Department of Transportation (2025). LRS 25.1 Map Package [Dataset]. https://www.virginiaroads.org/content/91c328e18b334da09a2a3f56d6997910
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    Dataset updated
    Apr 10, 2025
    Dataset provided by
    Virginia Department Of Transportation
    Authors
    Virginia Department of Transportation
    Area covered
    Description

    Virginia Department of Transportation 2025 Quarter One Linear Referencing SystemVDOT 25.1 LRS Release Map PackagePackage will be downloaded to your local 'Downloads' folder by default. Map package as downloaded is compressed. In ArcGIS Pro, browse to the Map Package in a local folder, and select 'Add and Open'.

  2. LRS 23.1 Map Package

    • virginiaroads.org
    • data.virginia.gov
    • +1more
    Updated Mar 28, 2023
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    Virginia Department of Transportation (2023). LRS 23.1 Map Package [Dataset]. https://www.virginiaroads.org/content/dbf6ee42ef604d2386cf4cd1f403bb3e
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    Dataset updated
    Mar 28, 2023
    Dataset provided by
    Virginia Department Of Transportation
    Authors
    Virginia Department of Transportation
    Area covered
    Description

    Virginia Department of Transportation 2023 Quarter One Linear Referencing SystemVDOT 23.1 LRS Release Map PackagePackage will be downloaded to your local 'Downloads' folder by default. Map package as downloaded is compressed. In ArcGIS Pro, browse to the Map Package in a local folder, and select 'Add and Open'.LRS 23.1 Release Documents

  3. g

    Geodatabase Templates - River Basin Map Package

    • data.geospatialhub.org
    • hub.arcgis.com
    Updated Feb 6, 2018
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    wrds_wdo (2018). Geodatabase Templates - River Basin Map Package [Dataset]. https://data.geospatialhub.org/documents/9769f26d6ec1401e8c40d3286ace5f54
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    Dataset updated
    Feb 6, 2018
    Dataset authored and provided by
    wrds_wdo
    Description

    This package contains a project specific geodatabase and map (.mxd) for River Basin and modeling projects. For directions on using this file, see the GIS Standards Technical Memorandum on the Standards Page.

  4. ArcGIS map package to recreate the maps in the paper (based on CREST data...

    • figshare.com
    7z
    Updated Jun 13, 2022
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    Andy Nelson; Serkan Girgin; andrea cattaneo; rolf de By; Theresa McMenomy; Sara vaz (2022). ArcGIS map package to recreate the maps in the paper (based on CREST data layers) [Dataset]. http://doi.org/10.6084/m9.figshare.20061128.v1
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    7zAvailable download formats
    Dataset updated
    Jun 13, 2022
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Andy Nelson; Serkan Girgin; andrea cattaneo; rolf de By; Theresa McMenomy; Sara vaz
    License

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

    Description

    This ArcGIS map package includes multiple spatial datasets that are subsets of the CREST layers and which were used to make the maps in the accompanying article on A Global Representation Of CIty-Region Systems .

  5. a

    Pipestone Plate 1 - Database Map Package

    • hub.arcgis.com
    • mngs-umn.opendata.arcgis.com
    Updated Nov 19, 2024
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    University of Minnesota (2024). Pipestone Plate 1 - Database Map Package [Dataset]. https://hub.arcgis.com/content/a6b230ea7335406c85c1ba266b291f17
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    Dataset updated
    Nov 19, 2024
    Dataset authored and provided by
    University of Minnesota
    Area covered
    Description

    The types, locations, and density of information used to prepare the Pipestone County atlas are shown on this map. The Database Map serves as a guide to the precision of the other maps in the atlas. It shows where data are sparse or lacking and interpretation and extrapolation were required to prepare the maps.

  6. a

    NTIA Tribal Map Package

    • hub.arcgis.com
    • nbam.ntia.gov
    Updated Jan 22, 2025
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    NBAM_Org (2025). NTIA Tribal Map Package [Dataset]. https://hub.arcgis.com/content/5781bad5cbf940e19f3b42d793b6d311
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    Dataset updated
    Jan 22, 2025
    Dataset authored and provided by
    NBAM_Org
    Area covered
    Description

    This map package includes the official Tribal areas that NTIA recognizes for their grant programs. The map package includes the following layers. Alaska Native Villages - this layer represents Alaska Native Villages and is created by Census. The layer was downloaded on Jan. 28, 2025, from here: TIGER/Line® Shapefiles.Native Hawaiian Areas - this layer represents Native Hawaiian Areas and is created by Census. The layer was downloaded on Jan. 28, 2025, from here: TIGER/Line® Shapefiles and has been filtered to only include Native Hawaiian Areas. BIA AIAN National LAR - this layer represents American Indian Lands and is created by the BIA. The layer was accessed here: BIA Access Open Data and was exported on Jan. 28, 2025. The layer was filtered to only include lands across the continental U.S. BIA AIAN LAR Supplemental - this layer is a supplemental dataset to the LAR. The layer was accessed here: BIA Access Open Data and was exported on Jan. 28, 2025.BIA AIAN Tribal Statistical Areas - this layer represents Tribal Statistical Areas located in Oklahoma. The layer was accessed here: BIA Access Open Data and was exported on Jan. 28, 2025.This map package was created on Jan. 28, 2025 and was created using ArcGIS Pro 3.4.0. If you have any questions regarding the map package please e-mail IFA Analytics.ResourcesCensus DataBIA Open DataBIA Data DisclaimerBy using this product, the user agrees to the below terms and conditions:No warranty is made by the Bureau of Indian Affairs (BIA) for the use of the data for purposes not intended by the BIA. This GIS Dataset may contain errors. There is no impact on the legal status of the land areas depicted herein and no impact on land ownership. No legal inference can or should be made from the information in this GIS Dataset. The GIS Dataset is prepared strictly for illustrative and reference purposes only and should not be used, and is not intended for legal, survey, engineering or navigation purposes. These data have been developed from the best available sources. Although efforts have been made to ensure that the data are accurate and reliable, errors and variable conditions originating from source documents and/or the translation of information from source documents to the systems of record continue to exist. Users must be aware of these conditions and bear responsibility for the appropriate use of the information with respect to possible errors, scale, resolution, rectification, positional accuracy, development methodology, time period, environmental and climatic conditions and other circumstances specific to these data. The user is responsible for understanding the accuracy limitations of the data provided herein. The burden for determining fitness for use lies entirely with the user. The user should refer to the accompanying metadata notes for a description of the data and data development procedures.Census Use RestraintsThe TIGER/Line Shapefile products are not copyrighted however TIGER/Line and Census TIGER are registered trademarks of the U.S. Census Bureau. These products are free to use in a product or publication, however acknowledgement must be given to the U.S. Census Bureau as the source. The boundary information in the TIGER/Line Shapefiles are for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes does not constitute a determination of jurisdictional authority or rights of ownership or entitlement and they are not legal land descriptions. Coordinates in the TIGER/Line shapefiles have six implied decimal places, but the positional accuracy of these coordinates is not as great as the six decimal places suggest.

  7. d

    Data from: GIS Resource Compilation Map Package - Applications of Machine...

    • catalog.data.gov
    • data.openei.org
    • +3more
    Updated Jan 20, 2025
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    Nevada Bureau of Mines and Geology (2025). GIS Resource Compilation Map Package - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada [Dataset]. https://catalog.data.gov/dataset/gis-resource-compilation-map-package-applications-of-machine-learning-techniques-to-geothe-8f3ee
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    Dataset updated
    Jan 20, 2025
    Dataset provided by
    Nevada Bureau of Mines and Geology
    Area covered
    Nevada, Great Basin
    Description

    This submission contains an ESRI map package (.mpk) with an embedded geodatabase for GIS resources used or derived in the Nevada Machine Learning project, meant to accompany the final report. The package includes layer descriptions, layer grouping, and symbology. Layer groups include: new/revised datasets (paleo-geothermal features, geochemistry, geophysics, heat flow, slip and dilation, potential structures, geothermal power plants, positive and negative test sites), machine learning model input grids, machine learning models (Artificial Neural Network (ANN), Extreme Learning Machine (ELM), Bayesian Neural Network (BNN), Principal Component Analysis (PCA/PCAk), Non-negative Matrix Factorization (NMF/NMFk) - supervised and unsupervised), original NV Play Fairway data and models, and NV cultural/reference data. See layer descriptions for additional metadata. Smaller GIS resource packages (by category) can be found in the related datasets section of this submission. A submission linking the full codebase for generating machine learning output models is available through the "Related Datasets" link on this page, and contains results beyond the top picks present in this compilation.

  8. a

    Geodatabase Templates - Watershed Study Map Package

    • hub.arcgis.com
    Updated Feb 6, 2018
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    wrds_wdo (2018). Geodatabase Templates - Watershed Study Map Package [Dataset]. https://hub.arcgis.com/documents/51404fcbb949455f930a0db8e0ef2e70
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    Dataset updated
    Feb 6, 2018
    Dataset authored and provided by
    wrds_wdo
    Description

    This package contains a project specific geodatabase and map (.mxd) for Watershed study projects. For directions on using this file, see the GIS Standards Technical Memorandum on the Standards Page.

  9. d

    Data from: New Mexico Play Fairway Analysis: Particle Tracking ArcGIS Map...

    • catalog.data.gov
    • gdr.openei.org
    • +3more
    Updated Jan 20, 2025
    + more versions
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    New Mexico Institute of Mining and Technology (2025). New Mexico Play Fairway Analysis: Particle Tracking ArcGIS Map Packages [Dataset]. https://catalog.data.gov/dataset/new-mexico-play-fairway-analysis-particle-tracking-arcgis-map-packages-87bb6
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    Dataset updated
    Jan 20, 2025
    Dataset provided by
    New Mexico Institute of Mining and Technology
    Area covered
    New Mexico
    Description

    These are map packages used to visualize geochemical particle-tracking analysis results in ArcGIS. It includes individual map packages for several regions of New Mexico including: Acoma, Rincon, Gila, Las Cruces, Socorro and Truth or Consequences.

  10. g

    Geodatabase Templates - Drinking Water Map Package

    • data.geospatialhub.org
    • hub.arcgis.com
    Updated Jun 4, 2019
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    wrds_wdo (2019). Geodatabase Templates - Drinking Water Map Package [Dataset]. https://data.geospatialhub.org/documents/c60c197db523490dade12a192b677a2c
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    Dataset updated
    Jun 4, 2019
    Dataset authored and provided by
    wrds_wdo
    Description

    This package contains a project specific geodatabase and map (.mxd) for Drinking Water projects. For directions on using this file, see the GIS Standards Technical Memorandum on the Standards Page.

  11. a

    Geodatabase Templates - Instream Flow Map Package

    • hub.arcgis.com
    Updated Feb 6, 2018
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    wrds_wdo (2018). Geodatabase Templates - Instream Flow Map Package [Dataset]. https://hub.arcgis.com/documents/6b0fc75970f84bc39a6c7af1c4002ede
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    Dataset updated
    Feb 6, 2018
    Dataset authored and provided by
    wrds_wdo
    Description

    This package contains a project specific geodatabase and map (.mxd) for Instream Flow projects. For directions on using this file, see the GIS Standards Technical Memorandum on the Standards Page.

  12. Z

    ArcGIS Map Packages and GIS Data for: A Geospatial Method for Estimating...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jul 25, 2024
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    Nagaoka, Lisa (2024). ArcGIS Map Packages and GIS Data for: A Geospatial Method for Estimating Soil Moisture Variability in Prehistoric Agricultural Landscapes, Gillreath-Brown et al. (2019) [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_2572017
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    Dataset updated
    Jul 25, 2024
    Dataset provided by
    Wolverton, Steve
    Nagaoka, Lisa
    Gillreath-Brown, Andrew
    License

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

    Description

    ArcGIS Map Packages and GIS Data for Gillreath-Brown, Nagaoka, and Wolverton (2019)

    **When using the GIS data included in these map packages, please cite all of the following:

    Gillreath-Brown, Andrew, Lisa Nagaoka, and Steve Wolverton. A Geospatial Method for Estimating Soil Moisture Variability in Prehistoric Agricultural Landscapes, 2019. PLoSONE 14(8):e0220457. http://doi.org/10.1371/journal.pone.0220457

    Gillreath-Brown, Andrew, Lisa Nagaoka, and Steve Wolverton. ArcGIS Map Packages for: A Geospatial Method for Estimating Soil Moisture Variability in Prehistoric Agricultural Landscapes, Gillreath-Brown et al., 2019. Version 1. Zenodo. https://doi.org/10.5281/zenodo.2572018

    OVERVIEW OF CONTENTS

    This repository contains map packages for Gillreath-Brown, Nagaoka, and Wolverton (2019), as well as the raw digital elevation model (DEM) and soils data, of which the analyses was based on. The map packages contain all GIS data associated with the analyses described and presented in the publication. The map packages were created in ArcGIS 10.2.2; however, the packages will work in recent versions of ArcGIS. (Note: I was able to open the packages in ArcGIS 10.6.1, when tested on February 17, 2019). The primary files contained in this repository are:

    Raw DEM and Soils data

    Digital Elevation Model Data (Map services and data available from U.S. Geological Survey, National Geospatial Program, and can be downloaded from the National Elevation Dataset)

    DEM_Individual_Tiles: Individual DEM tiles prior to being merged (1/3 arc second) from USGS National Elevation Dataset.

    DEMs_Merged: DEMs were combined into one layer. Individual watersheds (i.e., Goodman, Coffey, and Crow Canyon) were clipped from this combined DEM.

    Soils Data (Map services and data available from Natural Resources Conservation Service Web Soil Survey, U.S. Department of Agriculture)

    Animas-Dolores_Area_Soils: Small portion of the soil mapunits cover the northeastern corner of the Coffey Watershed (CW).

    Cortez_Area_Soils: Soils for Montezuma County, encompasses all of Goodman (GW) and Crow Canyon (CCW) watersheds, and a large portion of the Coffey watershed (CW).

    ArcGIS Map Packages

    Goodman_Watershed_Full_SMPM_Analysis: Map Package contains the necessary files to rerun the SMPM analysis on the full Goodman Watershed (GW).

    Goodman_Watershed_Mesa-Only_SMPM_Analysis: Map Package contains the necessary files to rerun the SMPM analysis on the mesa-only Goodman Watershed.

    Crow_Canyon_Watershed_SMPM_Analysis: Map Package contains the necessary files to rerun the SMPM analysis on the Crow Canyon Watershed (CCW).

    Coffey_Watershed_SMPM_Analysis: Map Package contains the necessary files to rerun the SMPM analysis on the Coffey Watershed (CW).

    For additional information on contents of the map packages, please see see "Map Packages Descriptions" or open a map package in ArcGIS and go to "properties" or "map document properties."

    LICENSES

    Code: MIT year: 2019 Copyright holders: Andrew Gillreath-Brown, Lisa Nagaoka, and Steve Wolverton

    CONTACT

    Andrew Gillreath-Brown, PhD Candidate, RPA Department of Anthropology, Washington State University andrew.brown1234@gmail.com – Email andrewgillreathbrown.wordpress.com – Web

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    Dakota Plate 1 - Database (Map Package)

    • hub.arcgis.com
    • mngs-umn.opendata.arcgis.com
    Updated Feb 2, 2024
    + more versions
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    University of Minnesota (2024). Dakota Plate 1 - Database (Map Package) [Dataset]. https://hub.arcgis.com/content/31665b2beacc4938be8a0392a0d2434a
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    Dataset updated
    Feb 2, 2024
    Dataset authored and provided by
    University of Minnesota
    Area covered
    Description

    The types, locations, and density of information used to prepare the Dakota County atlas are shown on this map. The Database Map serves as a guide to the precision of the other maps in the atlas. It shows where data are sparse or lacking and interpretation and extrapolation were required to prepare the maps.

  14. D

    Seattle Tree Canopy Change 2016 2021 Map Package

    • data.seattle.gov
    • s.cnmilf.com
    • +2more
    application/rdfxml +5
    Updated Oct 22, 2024
    + more versions
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    (2024). Seattle Tree Canopy Change 2016 2021 Map Package [Dataset]. https://data.seattle.gov/dataset/Seattle-Tree-Canopy-Change-2016-2021-Map-Package/njec-u76e
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    csv, tsv, application/rssxml, xml, json, application/rdfxmlAvailable download formats
    Dataset updated
    Oct 22, 2024
    Area covered
    Seattle
    Description
    This map package references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

    University of Vermont Spatial Analysis Laboratory

    This map package consists of tree canopy data covering the following categories:
    • 50-acre Hexagons
    • Council Districts
    • SDOT Urban Forestry Management Units
    • Management Units - Dissolved with ROW
    • Parcels Right of Way
    • Block Groups
    • RSE Census Tracts
    • Public Schools
    • Basins
    For more information, please see the 2021 Tree Canopy Assessment.
  15. Pelagic regionalisation approach in the wider Weddell Sea (Antarctica) with...

    • doi.pangaea.de
    html, tsv
    Updated Mar 25, 2019
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    Hendrik Pehlke; Katharina Teschke (2019). Pelagic regionalisation approach in the wider Weddell Sea (Antarctica) with link to ArcGIS map package [Dataset]. http://doi.org/10.1594/PANGAEA.899595
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    html, tsvAvailable download formats
    Dataset updated
    Mar 25, 2019
    Dataset provided by
    PANGAEA
    Authors
    Hendrik Pehlke; Katharina Teschke
    License

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

    Area covered
    Variables measured
    File name, File size, File format, File content, Uniform resource locator/link to file
    Description

    Here we provide an ArcGIS map package on the pelagic regionalisation in the wider Weddell Sea (Antarctica), which were created in the context of the development of a marine protected area (MPA) in the Weddell Sea. For the pelagic regionalisation following parameters were incorporated: (i) ice coverage from AMSR-E sea ice maps, (ii) bathymetric data from the International Bathymetric Chart of the Southern Ocean (IBCSO), and (iii) seawater temperature and salinity data from the Finite Element Sea Ice - Ocean Model (FESOM) provided by R. Timmermann (AWI). To classify different pelagic areas we have applied K-means clustering algorithm and 'clusGap' function from R package 'cluster'. Coastal polynyas mainly occurred east and west of the Prime Meridian (between 20°W to 30°E) as well as around the tip of Antarctic Peninsula, whereas the inner Weddell Sea was characterised by perennial ice-coverage. The largest area proportion of the wider Weddell Sea were classified by above average large water depths and relative high probabilities of ice-free days. […]

  16. a

    Clinton Lake Wetland Layers (mobile map package)

    • hub.arcgis.com
    • hub.kansasgis.org
    • +2more
    Updated Apr 10, 2023
    + more versions
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    The University of Kansas (2023). Clinton Lake Wetland Layers (mobile map package) [Dataset]. https://hub.arcgis.com/content/486ceccac0c94a2f892b0a5cf7470872
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    Dataset updated
    Apr 10, 2023
    Dataset authored and provided by
    The University of Kansas
    Area covered
    Description

    Mobile map packages are available for the following nine Kansas federal reservoirs considered for study in this project:Cheney ReservoirClinton LakeEl Dorado LakeHillsdale LakeMarion ReservoirMelvern LakeMilford LakePerry LakeTuttle Creek Lake

  17. d

    DSM2 Georeferenced Model Grid

    • catalog.data.gov
    • data.amerigeoss.org
    Updated Sep 2, 2023
    + more versions
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    California Department of Water Resources (2023). DSM2 Georeferenced Model Grid [Dataset]. https://catalog.data.gov/dataset/dsm2-georeferenced-model-grid-06459
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    Dataset updated
    Sep 2, 2023
    Dataset 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.

  18. ArcGIS Map packages with geomorphological and geographical datasets used to...

    • zenodo.org
    • data.niaid.nih.gov
    zip
    Updated Apr 24, 2021
    + more versions
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    Matheus G.G. De Jong; Henk Pieter Sterk; Henk Pieter Sterk; Stacy Shinneman; Stacy Shinneman; Arie C. Seijmonsbergen; Arie C. Seijmonsbergen; Matheus G.G. De Jong (2021). ArcGIS Map packages with geomorphological and geographical datasets used to generate maps for Dunza-Tschengla study area in Vorarlberg, Austria [Dataset]. http://doi.org/10.5281/zenodo.4716300
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    zipAvailable download formats
    Dataset updated
    Apr 24, 2021
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Matheus G.G. De Jong; Henk Pieter Sterk; Henk Pieter Sterk; Stacy Shinneman; Stacy Shinneman; Arie C. Seijmonsbergen; Arie C. Seijmonsbergen; Matheus G.G. De Jong
    License

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

    Area covered
    Austria, Vorarlberg
    Description

    Map packages for use in ArcGIS Pro or ArcMap containing three-tiered geomorphological data and geographical datasets such as rivers and hillshading. Datasets were used to generate figures for publication: Hierarchical geomorphological mapping in mountainous areas. 2021. Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Journal of Maps. All data is in MGI Austria GK West projected coordinate system (EPSG: 31254) and was clipped to the study area.

  19. f

    Map package (ArcGIS Pro version) with geomorphological and geographical...

    • uvaauas.figshare.com
    jpeg
    Updated May 30, 2023
    + more versions
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    Matheus G.G. De Jong; Henk Pieter Sterk; Stacy Shinneman; A.C. Seijmonsbergen (2023). Map package (ArcGIS Pro version) with geomorphological and geographical datasets used to generate maps for Au West study area in Vorarlberg, Austria [Dataset]. http://doi.org/10.21942/uva.13713064.v9
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    jpegAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    University of Amsterdam / Amsterdam University of Applied Sciences
    Authors
    Matheus G.G. De Jong; Henk Pieter Sterk; Stacy Shinneman; A.C. Seijmonsbergen
    License

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

    Area covered
    Austria, Vorarlberg
    Description

    For complete collection of data and models, see https://doi.org/10.21942/uva.c.5290546.Map package for use in ArcGIS Pro containing three-tiered geomorphological data and geographical datasets such as rivers, roads and hillshading. Datasets were used to generate figures for publication: Hierarchical geomorphological mapping in mountainous areas. Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps 2020, revisions made in 2021. All data is in MGI Austria GK West projected coordinate system (EPSG: 31254) and was clipped to the study area.

  20. a

    Marion Reservoir Wetland Layers (mobile map package)

    • kars-geoplatform-ku.hub.arcgis.com
    • hub.kansasgis.org
    • +2more
    Updated Apr 10, 2023
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    The University of Kansas (2023). Marion Reservoir Wetland Layers (mobile map package) [Dataset]. https://kars-geoplatform-ku.hub.arcgis.com/content/b48bdba8cba840e48bbc8b008c938009
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    Dataset updated
    Apr 10, 2023
    Dataset authored and provided by
    The University of Kansas
    Area covered
    Description

    Web maps are available for the following nine Kansas federal reservoirs considered for study in this project:Cheney ReservoirClinton LakeEl Dorado LakeHillsdale LakeMarion ReservoirMelvern LakeMilford LakePerry LakeTuttle Creek Lake

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Virginia Department of Transportation (2025). LRS 25.1 Map Package [Dataset]. https://www.virginiaroads.org/content/91c328e18b334da09a2a3f56d6997910
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LRS 25.1 Map Package

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Dataset updated
Apr 10, 2025
Dataset provided by
Virginia Department Of Transportation
Authors
Virginia Department of Transportation
Area covered
Description

Virginia Department of Transportation 2025 Quarter One Linear Referencing SystemVDOT 25.1 LRS Release Map PackagePackage will be downloaded to your local 'Downloads' folder by default. Map package as downloaded is compressed. In ArcGIS Pro, browse to the Map Package in a local folder, and select 'Add and Open'.

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