80 datasets found
  1. Joint Military Symbology MIL-STD-2525D

    • hub.arcgis.com
    • cacgeoportal.com
    Updated Mar 21, 2022
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    Esri (2022). Joint Military Symbology MIL-STD-2525D [Dataset]. https://hub.arcgis.com/content/4cb91e6466444c55a8159258d42a95a2
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    Dataset updated
    Mar 21, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Description

    An ArcGIS Mobile style (stylx) file for use with ArcGIS Pro 2.9+ and ArcGIS Runtime 100.13+ to build custom applications that incorporate the MIL-STD-2525D symbol dictionary. This style supports a configuration for modeling locations as ordered anchor points or full geometries.Required Software:ArcGIS Pro 2.9 or higherArcGIS Runtime 100.13 or higherThe style can be published from ArcGIS Pro as a web style for use with the ArcGIS API for JavaScript 4.22 or higher.

  2. f

    Symbology layer files developed in ArcMap and ArcGIS Pro for the purpose of...

    • uvaauas.figshare.com
    txt
    Updated May 31, 2023
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    Matheus G.G. De Jong; Henk Pieter Sterk; Stacy Shinneman; A.C. Seijmonsbergen (2023). Symbology layer files developed in ArcMap and ArcGIS Pro for the purpose of visualizing geomorphological codes using predefined color palettes [Dataset]. http://doi.org/10.21942/uva.13704643
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    txtAvailable download formats
    Dataset updated
    May 31, 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

    Description

    For complete collection of data and models, see https://doi.org/10.21942/uva.c.5290546.Supplemental material for: Hierarchical geomorphological mapping in mountainous areas, Matheus G.G. De Jong, Henk Pieter Sterk, Stacy Shinneman & Arie C. Seijmonsbergen. Submitted to Journal of Maps in 2020, revisions made in 2021.These layer files will produce the complete geomorphological legend, even when all geomorphological units are not present in the dataset. When visualizing results, we recommend the following optimal scale ranges: 1:2,500 - 1:10,000 for Tier 3, 1:10,001 to 1:30,000 for Tier 2 and ≥ 1:30,001 for Tier 1.The complete set of layer files ("Geomorphological Map Vorarlberg - Tier 1", "Geomorphological Map Vorarlberg - Tier 2" and "Geomorphological Map Vorarlberg - Tier 3") are intended to visualize output of a model that creates tiers (columns) of geomorphological features (Tier 1, Tier 2 and Tier 3) in the landscape of Vorarlberg, Austria, each with an increasing level of detail.

  3. BAGIS-PRO NLCD Land Cover Layer Symbology

    • nwcc-nrcs.hub.arcgis.com
    Updated Dec 21, 2021
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    USDA NRCS ArcGIS Online (2021). BAGIS-PRO NLCD Land Cover Layer Symbology [Dataset]. https://nwcc-nrcs.hub.arcgis.com/content/9f61719bc5314247bda76469362c7554
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    Dataset updated
    Dec 21, 2021
    Dataset provided by
    United States Department of Agriculturehttp://usda.gov/
    Natural Resources Conservation Servicehttp://www.nrcs.usda.gov/
    Authors
    USDA NRCS ArcGIS Online
    Description

    This is a required system file for BAGIS-PRO that contains the symbology for the Land Cover layer. DO NOT DELETE

  4. Signs and Signals

    • data2018-11-15t152007183z-acpa.opendata.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Dec 15, 2016
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    esri_en (2016). Signs and Signals [Dataset]. https://data2018-11-15t152007183z-acpa.opendata.arcgis.com/content/9b8e84d1c01349f28d57502af601e37f
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    Dataset updated
    Dec 15, 2016
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    esri_en
    Description

    A style file containing a collection of realistic 3D street signs and street signals.

  5. f

    Geomorphology model (ArcGIS Pro version), input datasets and legend...

    • uvaauas.figshare.com
    • data.niaid.nih.gov
    • +2more
    zip
    Updated Jun 2, 2023
    + more versions
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    Matheus G.G. De Jong; Henk Pieter Sterk; Stacy Shinneman; A.C. Seijmonsbergen (2023). Geomorphology model (ArcGIS Pro version), input datasets and legend symbology files [Dataset]. http://doi.org/10.21942/uva.13693702.v20
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    zipAvailable download formats
    Dataset updated
    Jun 2, 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

    Description

    For complete collection of data and models, see https://doi.org/10.21942/uva.c.5290546.Original model developed in 2016-17 in ArcGIS by Henk Pieter Sterk (www.rfase.org), with minor updates in 2021 by Stacy Shinneman and Henk Pieter Sterk. Model used to generate publication results: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.This model creates tiers (columns) of geomorphological features (Tier 1, Tier 2 and Tier 3) in the landscape of Vorarlberg, Austria, each with an increasing level of detail. The input dataset needed to create this 'three-tier-legend' is a geomorphological map of Vorarlberg with a Tier 3 category (e.g. 1111, for glacially eroded bedrock). The model then automatically adds Tier 1, Tier 2 and Tier 3 categories based on the Tier 3 code in the 'Geomorph' field. The model replaces the input file with an updated shapefile of the geomorphology of Vorarlberg, now including three tiers of geomorphological features. Python script files and .lyr symbology files are also provided here.

  6. Illuminated labels for ArcGIS Pro text

    • cacgeoportal.com
    Updated Mar 19, 2019
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    Esri Styles (2019). Illuminated labels for ArcGIS Pro text [Dataset]. https://www.cacgeoportal.com/content/5189d6227cae42de89c1cdfaee396792
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    Dataset updated
    Mar 19, 2019
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Styles
    Description

    Sometimes a basic solid color for your map's labels and text just isn't going to cut it. Here is an ArcGIS Pro style with light and dark gradient fills and shadow/glow effects that you can apply to map text via the "Text fill symbol" picker in your label pane. Level up those labels! Make them look touchable. Glassy. Shady. Intriguing.Find a how-to here.Save this style, add it to your ArcGIS Pro project, then use it for any text (including labels).**UPDATE**I've added a symbol that makes text look like is being illuminated from below, casting a shadow upwards and behind. Pretty dramatic if you ask me. Here is an example:Happy Mapping! John Nelson

  7. C

    DSM2 Georeferenced Model Grid

    • data.cnra.ca.gov
    • data.ca.gov
    • +2more
    Updated Sep 12, 2025
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    California Department of Water Resources (2025). DSM2 Georeferenced Model Grid [Dataset]. https://data.cnra.ca.gov/dataset/dsm2-georeferenced-model-grid
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    zip(149795), pdf(25962387), arcgis pro map package(153901), arcgis desktop map package(300515), pdf(20463896), pdf(22669649), arcgis desktop map package(211110), zip(158973), zip(159621), zip(140121), zip(228604), pdf(22679496), pdf(1443441), zip(26881)Available download formats
    Dataset updated
    Sep 12, 2025
    Dataset authored and provided by
    California Department of Water Resources
    Description

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

    Monitoring Stations - shapefile with approximate locations of monitoring stations.

    DSM2 Grid 2025-05-28 Historical

    FC_2023.01

    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.

  8. MVUM Symbology - Motor Vehicle Use Map Trails

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • agdatacommons.nal.usda.gov
    • +3more
    Updated Jul 11, 2025
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    U.S. Forest Service (2025). MVUM Symbology - Motor Vehicle Use Map Trails [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/mvum-symbology-motor-vehicle-use-map-trails
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    Dataset updated
    Jul 11, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Description

    This feature class depicts Forest Service trails where motorized use is allowed. It contains information on the specific type of motor vehicle and their seasons of use. The feature class is consistent with the appropriate National Forest's Motor Vehicle Use Map (MVUM). Non-motorized trails are not included in this data. Trails in this feature class are legal for some motorized use for at least a portion of the year. Any reference to Open or Dates Open refers strictly to when it is legal to use that motor vehicle on the trail. It is not meant to describe when the conditions would be appropriate for that use. As an example, a trail may be designated open to motorcycles all year long but there may be periods of time when snow depth prevents the use of motorcycles on that trail. It is compiled from the GIS Data Dictionary data and tabular data that the administrative units have prepared for the creation of their MVUMs. This data is published and refreshed on a unit by unit basis as needed. Individual unit's data must be verified and proved consistent with the published MVUMs prior to publication in the Enterprise Data Warehouse (EDW).

  9. a

    Land Use - Symbology - View

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • gis-mdc.opendata.arcgis.com
    Updated Oct 22, 2020
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    Miami-Dade County, Florida (2020). Land Use - Symbology - View [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/MDC::land-use-symbology-view/about
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    Dataset updated
    Oct 22, 2020
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

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

    Area covered
    Description

    A view of the Land Use polygon feature class with symbology created by the RER department. This layer includes existing land use that is produced by the research section of the Regulatory and Economic Resources (RER) Departments Planning Division. Existing Land Use is the source of all current land use data updates that could be traced back to 1994, and it is updated weekly based on the most current aerial photography, property appraisal data, thematic layers, development and environmental information.Updated: Weekly-SatThe data was created using:Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

  10. Visitor Map Symbology - Motor Vehicle Use Map Roads

    • catalog.data.gov
    • agdatacommons.nal.usda.gov
    • +1more
    Updated Aug 5, 2025
    + more versions
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    U.S. Forest Service (2025). Visitor Map Symbology - Motor Vehicle Use Map Roads [Dataset]. https://catalog.data.gov/dataset/visitor-map-symbology-motor-vehicle-use-map-roads
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    Dataset updated
    Aug 5, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Description

    The feature class indicates the specific types of motorized vehicles allowed on the designated routes and their seasons of use. The feature class is designed to be consistent with the MVUM (Motor Vehicle Use Map). It is compiled from the GIS Data Dictionary data and NRM Infra tabular data that the administrative units have prepared for the creation of their MVUMs. Only roads with a SYMBOL attribute value of 1, 2, 3, 4, 11, and 12 are Forest Service System roads and contain data concerning their availability for OHV (Off Highway Vehicle) use. This data is published and refreshed on a unit by unit basis as needed. Data for each individual unit must be verified and proved consistent with the published MVUMs prior to publication.The Forest Service's Natural Resource Manager (NRM) Infrastructure (Infra) is the agency standard for managing and reporting information about inventory of constructed features and land units as well as the permits sold to the general public and to partners. Go to this url for full metadata description: http://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Road_MVUM.xml

  11. National Park Service Official Style

    • hub.arcgis.com
    • mapdirect-fdep.opendata.arcgis.com
    Updated Oct 9, 2021
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    National Park Service (2021). National Park Service Official Style [Dataset]. https://hub.arcgis.com/content/31b357c26700467792cfb5f7778d72ea
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    Dataset updated
    Oct 9, 2021
    Dataset authored and provided by
    National Park Servicehttp://www.nps.gov/
    Description

    Official style (.stylx) for ArcGIS Pro created by the National Park Service The original National Park Service style file was an attempt to create an easy way for users to style their cartographic products in ArcGIS ArcMap in a way that resembles an official NPS, Harpers Ferry Center (HFC) product. It has been updated for use in ArcGIS Pro by the GISC Cartography & Web Mapping Subcommittee, who addressed changes and additions to HFC cartography, but also longstanding issues with the style itself.How-to add styles to a ArcGIS Pro projectIRMA Reference Update Oct 2, 2021:Fixes the National Park Service North Arrow Adds HFC-styled scale bars.

  12. MVUM Symbology - Motor Vehicle Use Map Roads (Labels)

    • catalog.data.gov
    • agdatacommons.nal.usda.gov
    • +2more
    Updated Aug 5, 2025
    + more versions
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    U.S. Forest Service (2025). MVUM Symbology - Motor Vehicle Use Map Roads (Labels) [Dataset]. https://catalog.data.gov/dataset/mvum-symbology-motor-vehicle-use-map-roads-labels
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    Dataset updated
    Aug 5, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Description

    The feature class indicates the specific types of motorized vehicles allowed on the designated routes and their seasons of use. The feature class is designed to be consistent with the Motor Vehicle Use Map (MVUM). Only roads with a SYMBOL attribute value of 1, 2, 3, 4, 11, and 12 are Forest Service System roads and contain data concerning their availability for OHV (Off Highway Vehicle) use. This data is published and refreshed on a unit by unit basis as needed. Information for each individual unit must be verified as to be consistent with the published MVUMs prior to inclusion in this data. Not every National Forest has data included in this feature class.

  13. r

    GEMA Assessments Symbology Set

    • opendata.rcmrd.org
    • hub.gema.nz
    • +1more
    Updated Jul 11, 2022
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    admin_nzgisforem (2022). GEMA Assessments Symbology Set [Dataset]. https://opendata.rcmrd.org/maps/ebcdaaaac48041cd8421b60691c1ba38
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    Dataset updated
    Jul 11, 2022
    Dataset authored and provided by
    admin_nzgisforem
    Description

    Requests for additions/ modifications/ removal of symbols can be sent to nzgema@gmail.com_Revision History: (latest at top)Version 2 Revision 1Changes incorporated : April 2025See DocumentVersion 2Released : December 2022See DocumentVersion 1Released : December 2018See Document

  14. m

    Elevation from Lidar with Color Ramp Symbology (Tile Service)

    • gis.data.mass.gov
    • geo-massdot.opendata.arcgis.com
    Updated Sep 2, 2020
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    MassGIS - Bureau of Geographic Information (2020). Elevation from Lidar with Color Ramp Symbology (Tile Service) [Dataset]. https://gis.data.mass.gov/datasets/elevation-from-lidar-with-color-ramp-symbology-tile-service
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    Dataset updated
    Sep 2, 2020
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    Elevation from LiDAR data for the Commonwealth of Massachusetts, symbolized with a custom color ramp and served as a cached tile layer from MassGIS' ArcGIS Online account.

  15. Map with Style - Using Pie Charts as Symbols

    • lecture-with-gis-esriukeducation.hub.arcgis.com
    • teachwithgis.co.uk
    Updated Oct 5, 2022
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    Esri UK Education (2022). Map with Style - Using Pie Charts as Symbols [Dataset]. https://lecture-with-gis-esriukeducation.hub.arcgis.com/datasets/map-with-style-using-pie-charts-as-symbols
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    Dataset updated
    Oct 5, 2022
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri UK Education
    Description

    Click here to open the ArcGIS Online Map Viewer with an environmental quality data set loaded, work through the exercise belowBefore changing styles on this map we reccomend that you log in. For full functionality use a free schools subscription, or if this is not possible you can use a free public account which will have reduced functionality.

  16. A

    Digital Geologic-GIS Map of the West Shasta Copper-Zinc District, California...

    • data.amerigeoss.org
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +1more
    api, pdf, zip
    Updated Sep 24, 2018
    + more versions
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    United States (2018). Digital Geologic-GIS Map of the West Shasta Copper-Zinc District, California (NPS, GRD, GRI, WHIS, WSCZ digital map) adapted from a U.S. Geological Survey Professional Paper map by Kinkel, Hall and Albers (1956) [Dataset]. https://data.amerigeoss.org/nl/dataset/digital-geologic-gis-map-of-the-west-shasta-copper-zinc-district-california-nps-grd-gri-wh-1956
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    pdf, zip, apiAvailable download formats
    Dataset updated
    Sep 24, 2018
    Dataset provided by
    United States
    Area covered
    California
    Description

    The Unpublished Digital Geologic-GIS Map of the West Shasta Copper-Zinc District, California is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (wscz_geology.gdb), a 10.1 ArcMap (.mxd) map document (wscz_geology.mxd), individual 10.1 layer (.lyr) files for each GIS data layer, an ancillary map information document (whis_geology_gis_readme.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.txt) and FAQ (.pdf) formats, and a GIS readme file (whis_geology_gis_readme.pdf). Please read the whis_geology_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie O'Meara (stephanie.omeara@colostate.edu; see contact information below). The data is also available as a 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. Google Earth software is available for free at: http://www.google.com/earth/index.html. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (wscz_geology_metadata.txt or wscz_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data projection is NAD83, UTM Zone 10N, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth. The data is within the area of interest of Whiskeytown National Recreation Area.

  17. g

    GEMA Symbol: INC 08 Displacement

    • hub.gema.nz
    • site-gema-nz.hub.arcgis.com
    Updated Aug 24, 2022
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    admin_nzgisforem (2022). GEMA Symbol: INC 08 Displacement [Dataset]. https://hub.gema.nz/documents/80afc46deef54ae1a69921a054e9f74d
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    Dataset updated
    Aug 24, 2022
    Dataset authored and provided by
    admin_nzgisforem
    Description

    Requests for additions/ modifications/ removal of symbols can be sent to nzgema@gmail.comName: DisplacementID: INC.08_Revision History: (latest at top)Version 2Released : December 2022See DocumentVersion 1Released : December 2018See Document

  18. Trees

    • hub.arcgis.com
    • cacgeoportal.com
    • +1more
    Updated Feb 2, 2019
    + more versions
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    Esri (2019). Trees [Dataset]. https://hub.arcgis.com/maps/esri::trees
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    Dataset updated
    Feb 2, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    License

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

    Area covered
    Description

    This layer features special areas of interest (AOIs) that have been contributed to Esri Community Maps using the new Community Maps Editor app. The data that is accepted by Esri will be included in selected Esri basemaps, including our suite of Esri Vector Basemaps, and made available through this layer to export and use offline. Export DataThe contributed data is also available for contributors and other users to export (or extract) and re-use for their own purposes. Users can export the full layer from the ArcGIS Online item details page by clicking the Export Data button and selecting one of the supported formats (e.g. shapefile, or file geodatabase (FGDB)). User can extract selected layers for an area of interest by opening in Map Viewer, clicking the Analysis button, viewing the Manage Data tools, and using the Extract Data tool. To display this data with proper symbology and metadata in ArcGIS Pro, you can download and use this layer file.Data UsageThe data contributed through the Community Maps Editor app is primarily intended for use in the Esri Basemaps. Esri staff will periodically (e.g. weekly) review the contents of the contributed data and either accept or reject the data for use in the basemaps. Accepted features will be added to the Esri basemaps in a subsequent update and will remain in the app for the contributor or others to edit over time. Rejected features will be removed from the app.Esri Community Maps Contributors and other ArcGIS Online users can download accepted features from this layer for their internal use or map publishing, subject to the terms of use below.

  19. f

    20241209_wwi_military_symbols_index.docx

    • figshare.com
    docx
    Updated Jan 17, 2025
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    Maria Petriccione (2025). 20241209_wwi_military_symbols_index.docx [Dataset]. http://doi.org/10.6084/m9.figshare.28229084.v1
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    docxAvailable download formats
    Dataset updated
    Jan 17, 2025
    Dataset provided by
    figshare
    Authors
    Maria Petriccione
    License

    https://www.gnu.org/licenses/gpl-3.0.htmlhttps://www.gnu.org/licenses/gpl-3.0.html

    Description

    Index of symbols found in British, Italian and Austro-Hungarian maps, and guidelines that indicate to the scholar the most suitable methods for digitizing World War I military maps and interpreting their symbology.

  20. H

    Anthromes v1 (ArcInfo binary GRID)

    • dataverse.harvard.edu
    • search.dataone.org
    zip
    Updated Dec 4, 2019
    + more versions
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    Harvard Dataverse (2019). Anthromes v1 (ArcInfo binary GRID) [Dataset]. http://doi.org/10.7910/DVN/LOJYWU
    Explore at:
    zip(1263051)Available download formats
    Dataset updated
    Dec 4, 2019
    Dataset provided by
    Harvard Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    2000
    Description

    GIS data for the global map of Anthropogenic Biomes (version 1) originally published in Ellis and Ramankutty (2008). The ZIP file contains an ArcInfo binary GRID and an ArcGIS symbology layer (.lyr) for visualization using GIS software. This dataset is a 5 arc minute thematic grid, prepared as described in WebPanel 1 of Ellis and Ramankutty (2008). The GRID file is composed of files in two directories: \anthromes_v1 \info and an auxiliary file: anthromes_v3.aux The layer (.lyr) file with map symbology is: anthropogenic_biomes.lyr To view these data in ArcGIS, simply unzip to an accessible directory and open the layer file. Please Cite: Ellis, E. C., and N. Ramankutty. 2008. Putting people in the map: anthropogenic biomes of the world. Frontiers in Ecology and the Environment 6:439-447. Download publication here: http://www.ecotope.org/people/ellis/papers/ellis_2008.pdf More information here: http://ecotope.org/anthromes/v1/

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Esri (2022). Joint Military Symbology MIL-STD-2525D [Dataset]. https://hub.arcgis.com/content/4cb91e6466444c55a8159258d42a95a2
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Joint Military Symbology MIL-STD-2525D

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13 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Mar 21, 2022
Dataset authored and provided by
Esrihttp://esri.com/
Description

An ArcGIS Mobile style (stylx) file for use with ArcGIS Pro 2.9+ and ArcGIS Runtime 100.13+ to build custom applications that incorporate the MIL-STD-2525D symbol dictionary. This style supports a configuration for modeling locations as ordered anchor points or full geometries.Required Software:ArcGIS Pro 2.9 or higherArcGIS Runtime 100.13 or higherThe style can be published from ArcGIS Pro as a web style for use with the ArcGIS API for JavaScript 4.22 or higher.

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