100+ datasets found
  1. v

    USGS Map Grid Indices

    • vgin.vdem.virginia.gov
    Updated Jul 7, 2021
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    Virginia Geographic Information Network (2021). USGS Map Grid Indices [Dataset]. https://vgin.vdem.virginia.gov/documents/9cef7a68c47e40e6aa8a3a91d6a78be4
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    Dataset updated
    Jul 7, 2021
    Dataset authored and provided by
    Virginia Geographic Information Network
    Description

    Download Virginia Grid ShapefilesDownload Virginia Grid GDBGrid REST ServiceThis data represents the map extent for current and historical USGS topographic maps for the United States and Territories, including 1 X 2 Degree, 1 X 1 Degree, 30 X 60 Minute, 15 X 15 Minute, 7.5 X 7.5 Minute, and 3.75 X 3.75 Minute. The grid was generated using ESRI ArcInfo GIS software.

  2. e

    Africa - Electricity Transmission and Distribution Grid Map - Dataset -...

    • energydata.info
    Updated Sep 26, 2024
    + more versions
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    (2024). Africa - Electricity Transmission and Distribution Grid Map - Dataset - ENERGYDATA.INFO [Dataset]. https://energydata.info/dataset/africa-electricity-transmission-and-distribution-grid-map-2017
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    Dataset updated
    Sep 26, 2024
    License

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

    Area covered
    Africa
    Description

    Note: This dataset has been updated with transmission lines for the MENA region. This is the most complete and up-to-date open map of Africa's electricity grid network. This dataset serves as an updated and improved replacement for the Africa Infrastructure Country Diagnostic (AICD) data that was published in 2007. Coverage This dataset includes planned and existing grid lines for all continental African countries and Madagascar, as well as the Middle East region. The lines range in voltage from sub-kV to 700 kV EHV lines, though there is a very large variation in the completeness of data by country. An interactive tool has been created for exploring this data, the Africa Electricity Grids Explorer. Sources The primary sources for this dataset are as follows: Africa Infrastructure Country Diagnostic (AICD) OSM © OpenStreetMap contributors For MENA: Arab Union of Electricity and country utilities. For West Africa: West African Power Pool (WAPP) GIS database World Bank projects archive and IBRD maps There were many additional sources for specific countries and areas. This information is contained in the files of this dataset, and can also be found by browsing the individual country datasets, which contain more extensive information. Limitations Some of the data, notably that from the AICD and from World Bank project archives, may be very out of date. Where possible this has been improved with data from other sources, but in many cases this wasn't possible. This varies significantly from country to country, depending on data availability. Thus, many new lines may exist which aren't shown, and planned lines may have completely changed or already been constructed. The data that comes from World Bank project archives has been digitized from PDF maps. This means that these lines should serve as an indication of extent and general location, but shouldn't be used for precisely location grid lines.

  3. C

    DSM2 Georeferenced Model Grid

    • data.cnra.ca.gov
    • data.ca.gov
    Updated Jun 2, 2025
    + more versions
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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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    pdf(22679496), arcgis desktop map package(300515), zip(158973), pdf(22669649), zip(159621), pdf(20463896), zip(228604), arcgis desktop map package(211110), arcgis pro map package(153901), zip(26881), pdf(25962387), pdf(1443441), zip(140121)Available download formats
    Dataset updated
    Jun 2, 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.

  4. d

    Index Grids, Property Map Index for Tax Maps. 1"=600' grid and larger scale...

    • datadiscoverystudio.org
    • data.wu.ac.at
    shtml
    Updated Aug 19, 2017
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    (2017). Index Grids, Property Map Index for Tax Maps. 1"=600' grid and larger scale insert grids for selected counties., Published in 2010, 1:7200 (1in=600ft) scale, Maryland Department of Planning.. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/d53ddee450024468ad8e086ee7d50027/html
    Explore at:
    shtmlAvailable download formats
    Dataset updated
    Aug 19, 2017
    Area covered
    Maryland
    Description

    description: Index Grids dataset current as of 2010. Property Map Index for Tax Maps. 1"=600' grid and larger scale insert grids for selected counties..; abstract: Index Grids dataset current as of 2010. Property Map Index for Tax Maps. 1"=600' grid and larger scale insert grids for selected counties..

  5. a

    Key Map Grid Index

    • data-moco.opendata.arcgis.com
    Updated Jul 25, 2018
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    Montgomery County, Texas IT-GIS (2018). Key Map Grid Index [Dataset]. https://data-moco.opendata.arcgis.com/datasets/MOCO::key-map-grid-index/about
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    Dataset updated
    Jul 25, 2018
    Dataset authored and provided by
    Montgomery County, Texas IT-GIS
    Area covered
    Description

    The Key Map Grid Index dataset contains rectangular features representing index pages within Montgomery County, Texas. Each index page is proportioned to fit a letter-sized map and is assigned a unique identifier for reference purposes. This dataset facilitates the organization and retrieval of key map grids, with 24 key map grids fitting within a single index page. The index pages are numbered sequentially, and the key map grids within each index page are lettered accordingly, excluding the letters "I" and "O" to avoid confusion with numbers. The Key Map Grid Index was created by the Houston Map Company, which covers multiple counties in the Houston metropolitan area including Harris, Fort Bend, Galveston, Brazoria, Liberty, Waller, and Montgomery Counties. More information can be found on the Houston Map Company's website at www.keymaps.com.Data Fields Included:Index Page ID: Unique identifier assigned to each index pageBoundary Polygon: Rectangle representing the proportionate index page

  6. d

    Allegheny County Map Index Grid

    • catalog.data.gov
    • data.wprdc.org
    • +2more
    Updated May 14, 2023
    + more versions
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    Allegheny County (2023). Allegheny County Map Index Grid [Dataset]. https://catalog.data.gov/dataset/allegheny-county-map-index-grid
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    Dataset updated
    May 14, 2023
    Dataset provided by
    Allegheny County
    Area covered
    Allegheny County
    Description

    Map Index Sheets from Block and Lot Grid of Property Assessment and based on aerial photography, showing 1983 datum with solid line and NAD 27 with 5 second grid tics and italicized grid coordinate markers and outlines of map sheet boundaries. Each grid square is 3500 x 4500 feet. Each Index Sheet contains 16 lot/block sheets, labeled from left to right, top to bottom (4 across, 4 down): A, B, C, D, E, F, G, H, J, K, L, M, N, P, R, S. The first (4) numeric characters in a parcelID indicate the Index sheet in which the parcel can be found, the alpha character identifies the block in which most (or all) of the property lies.

  7. a

    Maryland Property Data - Tax Map Grids

    • hub.arcgis.com
    • data.imap.maryland.gov
    • +2more
    Updated Apr 1, 2016
    + more versions
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    ArcGIS Online for Maryland (2016). Maryland Property Data - Tax Map Grids [Dataset]. https://hub.arcgis.com/maps/maryland::maryland-property-data-tax-map-grids
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    Dataset updated
    Apr 1, 2016
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Area covered
    Description

    This layer contains the boundaries and IDs of the Maryland tax maps produced by Maryland Department of Planning. Tax maps, also known as assessment maps, property maps or parcel maps, are a graphic representation of real property showing and defining individual property boundaries in relationship to contiguous real property.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/PlanningCadastre/MD_PropertyData/MapServer/2

  8. a

    KyTopo Quad Index Grid Web Map

    • hub.arcgis.com
    • opengisdata.ky.gov
    • +2more
    Updated Jan 9, 2018
    + more versions
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    KyGovMaps (2018). KyTopo Quad Index Grid Web Map [Dataset]. https://hub.arcgis.com/maps/5d204ed54e6747b688d11924a945a228
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    Dataset updated
    Jan 9, 2018
    Dataset authored and provided by
    KyGovMaps
    License

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

    Area covered
    Description

    This Kentucky-specific quadrangle index grid was developed for the KyTopo Map Series. The 60,000' x 40,000' grid tiles are landscape oriented, fit on a standard Arch-D sized sheet, and have newly generated contours based on a KyFromAbove LiDAR-derived DEM. The 60k x 40k grid is a superset of the Kentucky Single Zone based 5k grid that is utilized for organizing and distributing most all of the Commonwealth's raster data holdings. Quadrangle names were developed utilizing a USGS methodology that focuses on the most prominent map features. Clicking on a grid tile shows the names, contour interval, contour index interval, and provides links to download currently available versions of that map.

  9. d

    Data from: 6-m resolution grid of multibeam bathymetry in western...

    • datasets.ai
    • search.dataone.org
    • +2more
    55
    Updated Sep 27, 2024
    + more versions
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    Department of the Interior (2024). 6-m resolution grid of multibeam bathymetry in western Massachusetts Bay map Quadrangle 1 (Q1_BATHY6M) [Dataset]. https://datasets.ai/datasets/6-m-resolution-grid-of-multibeam-bathymetry-in-western-massachusetts-bay-map-quadrangle-1-
    Explore at:
    55Available download formats
    Dataset updated
    Sep 27, 2024
    Dataset authored and provided by
    Department of the Interior
    Area covered
    Western Massachusetts, Massachusetts
    Description

    The U.S. Geological Survey has conducted geologic mapping to characterize the sea floor offshore of Massachusetts. The mapping was carried out using a Simrad Subsea EM 1000 Multibeam Echo Sounder on the Frederick G. Creed on four cruises conducted between 1994 and 1998. The mapping was conducted in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and with support from the Canadian Hydrographic Service and the University of New Brunswick. The long-term goal of this mapping effort is to produce high-resolution geologic maps and a Geographic Information System (GIS) project that presents images and grids of bathymetry, shaded relief bathymetry, and backscatter intensity data from these surveys that will serve the needs of research, management and the public.

  10. a

    Santa Clara County Map Grid

    • hub.arcgis.com
    • gis-cupertino.opendata.arcgis.com
    Updated Aug 18, 2016
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    City of Cupertino (2016). Santa Clara County Map Grid [Dataset]. https://hub.arcgis.com/maps/Cupertino::santa-clara-county-map-grid
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    Dataset updated
    Aug 18, 2016
    Dataset authored and provided by
    City of Cupertino
    License

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

    Area covered
    Description

    Santa Clara County Map Grid is a Polygon FeatureClass representing a map grid for Santa Clara County. It is primarily used as a reference layer. The layer is updated as needed by the GIS Division. Santa Clara County Map Grid has the following fields:

    OBJECTID_1: Unique identifier automatically generated by Esri type: OID, length: 4, domain: none

    Shape: Field that stores geographic coordinates associated with feature type: Geometry, length: 4, domain: none

    OBJECTID: Unique identifier automatically generated by Esri type: Integer, length: 4, domain: none

    GRID_NO: Field indicating the grid number type: String, length: 10, domain: none

    Label_MB:

    type: String, length: 4, domain: none

    Label11x17: Field containing the label for 11 x 17 formats type: String, length: 3, domain: none

    Label_Esize: Field containing the label for E file formats type: String, length: 3, domain: none

    GlobalID: Unique identifier automatically generated for features in enterprise database type: GlobalID, length: 38, domain: none

    SHAPE_Leng: The length of the shape - in feet type: Double, length: 8, domain: none

    IsCupertino: Field indicating whether or not the map grid section is within the City of Cupertino city limits type: String, length: 3, domain: shdBooleanYesNo domain values:['Yes', 'No']

    Shape.STArea(): The area of the shape - in square feet type: Double, length: 0, domain: none

    Shape.STLength(): The length of the shape - in feet type: Double, length: 0, domain: none

  11. k

    US National Grid HFL-V

    • hub.kansasgis.org
    Updated Aug 27, 2021
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    Kansas State Government GIS (2021). US National Grid HFL-V [Dataset]. https://hub.kansasgis.org/maps/c3fe0b263a5c4c5ebc3ef676ed811ad9
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    Dataset updated
    Aug 27, 2021
    Dataset authored and provided by
    Kansas State Government GIS
    Area covered
    Description

    US National Grid- nationally consistent grid reference system in the USA. USNG enables a practical system of geo-addresses and a universal map index. This data resides in the GCS 1983 coordinate system and is most suitable for viewing over North America. This data support work done by the Kansas Adjutant General's Emergency Management Department (KDEM).The full Kansas geospatial catalog is administered by the Kansas Data Access & Support Center (DASC) and can be found at the following URL: https://hub.kansasgis.org/

  12. k

    KyTopo Quad Index Grid

    • opengisdata.ky.gov
    • data.lojic.org
    • +2more
    Updated Feb 25, 2023
    + more versions
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    KyGovMaps (2023). KyTopo Quad Index Grid [Dataset]. https://opengisdata.ky.gov/maps/kygeonet::kytopo-quad-index-grid/explore
    Explore at:
    Dataset updated
    Feb 25, 2023
    Dataset authored and provided by
    KyGovMaps
    License

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

    Area covered
    Description

    This Kentucky-specific quadrangle index grid was developed for the KyTopo Map Series. The 60,000' x 40,000' grid tiles are landscape oriented, fit on a standard Arch-D sized sheet, and have contours based on a LiDAR-derived DEM. This Kentucky-specific quadrangle index grid was developed for the KyTopo Map Series. The 60,000' x 40,000' grid tiles are landscape oriented, fit on a standard Arch-D sized sheet, and have newly generated contours based on a KyFromAbove LiDAR-derived DEM. The 60k x 40k grid is a superset of the Kentucky Single Zone based 5k grid that is utilized for organizing and distributing most all of the Commonwealth's raster data holdings. Quadrangle names were developed utilizing a USGS methodology that focuses on the most prominent map features. Clicking on a grid tile shows the names, contour interval, contour index interval, and provides links to download currently available versions of that map.Data Download: https://ky.box.com/v/kymartian-KyTopo-QuadTiles

  13. K

    Richardson, Texas US National Grid

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Oct 5, 2016
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    City of Richardson, Texas (2016). Richardson, Texas US National Grid [Dataset]. https://koordinates.com/layer/15610-richardson-texas-us-national-grid/
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    csv, mapinfo mif, geopackage / sqlite, geodatabase, shapefile, dwg, kml, pdf, mapinfo tabAvailable download formats
    Dataset updated
    Oct 5, 2016
    Dataset authored and provided by
    City of Richardson, Texas
    Area covered
    Description

    The USNG is an alpha-numeric reference system that overlays the UTM coordinate system. This is a polygon feature data layer of United States National Grid (1000m x 1000m polygons ) constructed by the Center for Interdisciplinary Geospatial Information Technologies at Delta State University with support from the US Geological Survey under the Cooperative Agreement 07ERAG0083. For correct display, please set the base coordinate system and projection such that it matches the UTM zone for which these data were constructed using the NAD 83 datum. Further information about the US National Grid is available from http://www.fgdc.gov/usng and a viewing of these layers as applied to local geography may be seen at the National Map, http://www.nationalmap.gov.Fields to be considered:GZD: Grid Zone Designation -identifies the longitude zone number and the latitude band letter; SQID: 100,000 Meter Square ID -indicated the 100,000-meter square that is specific to the GZD.http://resources.arcgis.com/en/help/localgovernment/10.2./028s/other/DataDictionary.htm#FeatureClassUSNationalGridmetadata edited 08/2014

    © Center for Interdisciplinary Geospatial Information Technologies, Delta State University, Cleveland Mississippi 38733 This layer is sourced from maps.cor.gov.

    A map that tracks damage assessed parcels during or after an emergency. This map is meant to be used with the Operations Dasboard.

    © City of Richardson

  14. IRC Grid Map

    • redistricting-irc-az.hub.arcgis.com
    Updated Sep 3, 2021
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    Arizona Independent Redistricting Commission (2021). IRC Grid Map [Dataset]. https://redistricting-irc-az.hub.arcgis.com/maps/f66090c9a7fc4a379d33aa284397b41a
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    Dataset updated
    Sep 3, 2021
    Dataset provided by
    Redistricting commission
    Authors
    Arizona Independent Redistricting Commission
    Area covered
    Description

    This data represents a version of balanced (9) Congressional and (30) Legislative Districts.

  15. d

    Index Grids, Map index grid, Published in 2008, 1:2400 (1in=200ft) scale,...

    • datadiscoverystudio.org
    Updated Dec 14, 2017
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    (2017). Index Grids, Map index grid, Published in 2008, 1:2400 (1in=200ft) scale, Lane County Government.. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/a83c27e310d5432abe84222aefdac37e/html
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    Dataset updated
    Dec 14, 2017
    Description

    description: Index Grids dataset current as of 2008. Map index grid.; abstract: Index Grids dataset current as of 2008. Map index grid.

  16. n

    Atlas Grid

    • nebraskamap.gov
    • map-nebraska.hub.arcgis.com
    Updated Jun 3, 2021
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    Nebraska Game & Parks Commission (2021). Atlas Grid [Dataset]. https://www.nebraskamap.gov/datasets/outdoornebraska::atlas-grid/explore
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    Dataset updated
    Jun 3, 2021
    Dataset authored and provided by
    Nebraska Game & Parks Commission
    Area covered
    Description

    Data layer showing the map sheet GRID layer used to generate the public access ATLAS.The Nebraska Game and Parks Commission has joined Pheasants Forever, Inc. (PF), the Nebraska Environmental Trust, National Wild Turkey Federation (NWTF), the U.S. Department of Agriculture (USDA), Natural Resource Districts (NRDs), landowners, private organizations and government agencies, to deliver an access program designed to enhance wildlife habitat and increase hunting, fishing and trapping opportunities throughout the state. This Public Access Atlas identifies and consolidates these access resources for the benefit of our hunters, trappers and anglers.

  17. g

    UTM (Universal Transverse Mercator) 1 Km Grid

    • geohub.lio.gov.on.ca
    • hub.arcgis.com
    Updated Apr 11, 2011
    + more versions
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    Land Information Ontario (2011). UTM (Universal Transverse Mercator) 1 Km Grid [Dataset]. https://geohub.lio.gov.on.ca/datasets/5e8aecaa02834fd68e614844cfb276b2
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    Dataset updated
    Apr 11, 2011
    Dataset authored and provided by
    Land Information Ontario
    Area covered
    Description

    Many geometrical schemes – or map projections – are used to represent the curved surface of the Earth on map sheets.Canada uses the Universal Transverse Mercator (UTM) system. It is called transverse because the strips run north-south rather than east-west along the equator.This data class shows a 1 km x 1 km UTM NAD83 grid that is a standard reference index for Ontario.It includes:Military Grid ReferenceFire Base Map identifierFire Base Map BlockAtlas identifierAdditional Documentation UTM Grid - User Guide (Word) UTM 1KM Grid - Data Description (PDF) UTM 1KM Grid - Documentation (Word)

    Status Completed: production of the data has been completed Maintenance and Update Frequency As needed: data is updated as deemed necessary Contact Jennifer McMurray, Office of the Surveyor General, jennifer.mcmurray@ontario.ca

  18. d

    Digital data grids for the magnetic anomaly map of North America.

    • datadiscoverystudio.org
    htm
    Updated Jun 8, 2018
    + more versions
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    (2018). Digital data grids for the magnetic anomaly map of North America. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/69ad2c7b6c5844e48dd3e0782c98b7bb/html
    Explore at:
    htmAvailable download formats
    Dataset updated
    Jun 8, 2018
    Area covered
    North America
    Description

    description: A digital magnetic anomaly database and map for the North American continent is the result of a joint effort by the Geological Survey of Canada (GSC), U. S. Geological Survey (USGS), and Consejo de Recursos Minerales of Mexico (CRM). The database and map represent a substantial upgrade from the previous compilation of magnetic anomaly data for North America, now over a decade old. This report presents three unique, gridded data sets used to make the magnetic anomaly map of North America. All three grids have 1-km spacing and are projected to the DNAG projection. These grids are provided in Geosoft binary grid format, with two files describing each of the grids (suffixes .grd and .gi). The first grids (NAmag_origmrg.grd and USmag_origmrg.grd) show the magnetic field at 1,000 m. above terrain. For the second grids (NAmag_hp500.grd and USmag_hp500.grd) we removed long-wavelength anomalies (500 km and greater) from the first grid. This grid was used for the published map. Although the North American merged grid represents a significant upgrade to older compilations, the existing patchwork of surveys is inherently unable to accurately represent anomalies with long (greater than roughly 150 km) wavelengths, particularly in the US and Canada (U.S. Magnetic- Anomaly Data Set Task Group, 1994). The lack of information about long wavelength anomalies is primarily related to datum shifts between merged surveys, caused by data acquisition at widely different times and by differences in merging procedures. Therefore, we removed anomalies with wavelengths greater than 500 km from the merged grid to reduce the effects caused by the spurious long wavelengths but still maintain the continuity of anomalies. The correction was accomplished by transforming the merged grid to the frequency domain, filtering the transformed data with a long-wavelength cutoff at 500 km, and subtracting the long-wavelength data grid from the merged grid. In addition to the 500-km high pass filter, an equivalent source method, based on long-wavelength characterization using satellite data (CHAMP satellite anomalies, Maus and others, 2002), was also used to correct for spurious shifts in the original magnetic anomaly grid (Ravat and others, 2002). These results are presented in the third grids (NAmag_CM.grd and USmag_CM.grd), in which the wavelengths longer than 500 km have been replaced by downward-continued satellite data.; abstract: A digital magnetic anomaly database and map for the North American continent is the result of a joint effort by the Geological Survey of Canada (GSC), U. S. Geological Survey (USGS), and Consejo de Recursos Minerales of Mexico (CRM). The database and map represent a substantial upgrade from the previous compilation of magnetic anomaly data for North America, now over a decade old. This report presents three unique, gridded data sets used to make the magnetic anomaly map of North America. All three grids have 1-km spacing and are projected to the DNAG projection. These grids are provided in Geosoft binary grid format, with two files describing each of the grids (suffixes .grd and .gi). The first grids (NAmag_origmrg.grd and USmag_origmrg.grd) show the magnetic field at 1,000 m. above terrain. For the second grids (NAmag_hp500.grd and USmag_hp500.grd) we removed long-wavelength anomalies (500 km and greater) from the first grid. This grid was used for the published map. Although the North American merged grid represents a significant upgrade to older compilations, the existing patchwork of surveys is inherently unable to accurately represent anomalies with long (greater than roughly 150 km) wavelengths, particularly in the US and Canada (U.S. Magnetic- Anomaly Data Set Task Group, 1994). The lack of information about long wavelength anomalies is primarily related to datum shifts between merged surveys, caused by data acquisition at widely different times and by differences in merging procedures. Therefore, we removed anomalies with wavelengths greater than 500 km from the merged grid to reduce the effects caused by the spurious long wavelengths but still maintain the continuity of anomalies. The correction was accomplished by transforming the merged grid to the frequency domain, filtering the transformed data with a long-wavelength cutoff at 500 km, and subtracting the long-wavelength data grid from the merged grid. In addition to the 500-km high pass filter, an equivalent source method, based on long-wavelength characterization using satellite data (CHAMP satellite anomalies, Maus and others, 2002), was also used to correct for spurious shifts in the original magnetic anomaly grid (Ravat and others, 2002). These results are presented in the third grids (NAmag_CM.grd and USmag_CM.grd), in which the wavelengths longer than 500 km have been replaced by downward-continued satellite data.

  19. 1:250,000 Grid

    • open.canada.ca
    • catalogue.arctic-sdi.org
    • +1more
    csv, geojson, html +5
    Updated May 21, 2025
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    Government of New Brunswick (2025). 1:250,000 Grid [Dataset]. https://open.canada.ca/data/en/dataset/82d30e5f-6e12-3198-1f6a-a5d0857d54e3
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    csv, kml, shp, kmz, geojson, html, rss, xmlAvailable download formats
    Dataset updated
    May 21, 2025
    Dataset provided by
    Government of New Brunswickhttps://www.gnb.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    he boundaries of the map grid are defined by latitude and longitude. Each window is 1 degree of latitude (approximately 110 km) by 2 degrees of longitude (approximately 153 km).

  20. G

    BCGS 1:2,500 Mapsheet Grid - NAD 83

    • open.canada.ca
    • catalogue.arctic-sdi.org
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    html, kml, wms
    Updated Jun 18, 2025
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    Government of British Columbia (2025). BCGS 1:2,500 Mapsheet Grid - NAD 83 [Dataset]. https://open.canada.ca/data/en/dataset/b42f4037-7d88-46df-886d-178813f84b05
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    html, kml, wmsAvailable download formats
    Dataset updated
    Jun 18, 2025
    Dataset provided by
    Government of British Columbiahttps://www2.gov.bc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    BCGS 1:2,500 scale grid, North Amercian Datum 1983. The British Columbia Geographic System is a geographic system in which the coverage in minutes and seconds of longitude is double the coverage in minutes and seconds of latitude for sheets at all scales

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Virginia Geographic Information Network (2021). USGS Map Grid Indices [Dataset]. https://vgin.vdem.virginia.gov/documents/9cef7a68c47e40e6aa8a3a91d6a78be4

USGS Map Grid Indices

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Dataset updated
Jul 7, 2021
Dataset authored and provided by
Virginia Geographic Information Network
Description

Download Virginia Grid ShapefilesDownload Virginia Grid GDBGrid REST ServiceThis data represents the map extent for current and historical USGS topographic maps for the United States and Territories, including 1 X 2 Degree, 1 X 1 Degree, 30 X 60 Minute, 15 X 15 Minute, 7.5 X 7.5 Minute, and 3.75 X 3.75 Minute. The grid was generated using ESRI ArcInfo GIS software.

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