74 datasets found
  1. World Latitude and Longitude Grids

    • hub.arcgis.com
    • onemap-esri.hub.arcgis.com
    Updated Dec 21, 2019
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    Esri (2019). World Latitude and Longitude Grids [Dataset]. https://hub.arcgis.com/maps/ece08608f53949a4a4ee827fd5c30da1
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    Dataset updated
    Dec 21, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    World,
    Description

    World Latitude and Longitude Grids represents five latitude-longitude grids covering the world. The grids are provided at intervals of 1, 5, 10, 15, and 30 degrees and have visibility and scale ranges set for each to provide continuous delivery of a grid at any scale. To download the data for this layer as a layer package for use in ArcGIS desktop applications, refer to World Latitude and Longitude Grids.

  2. 1:20,000 Grid

    • open.canada.ca
    • catalogue.arctic-sdi.org
    • +1more
    csv, geojson, html +5
    Updated Feb 26, 2025
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    Government of New Brunswick (2025). 1:20,000 Grid [Dataset]. https://open.canada.ca/data/en/dataset/5fb0f267-ff0e-6060-a0d4-da5e654b1c7a
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    geojson, shp, kml, csv, html, xml, rss, kmzAvailable download formats
    Dataset updated
    Feb 26, 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

    The boundaries of the map grid are defined by latitude and longitude. Each window is 6 minutes of latitude (approximately 11 km) by 12 minutes of longitude (approximately 15 km).

  3. a

    Reference Grids Sections

    • gis.data.alaska.gov
    • data.matsugov.us
    • +2more
    Updated Jul 11, 2016
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    Matanuska-Susitna Borough (2016). Reference Grids Sections [Dataset]. https://gis.data.alaska.gov/datasets/MSB::reference-grids-sections/about
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    Dataset updated
    Jul 11, 2016
    Dataset authored and provided by
    Matanuska-Susitna Borough
    Area covered
    Description

    Section boundaries as defined by the US Public Land Survey System (PLSS). PLSS is a way of subdividing and describing land in the United States. Most lands in the public domain are subject to subdivision by this rectangular system of surveys, which is regulated by the U.S. Department of the Interior, Bureau of Land Management. Section boundaries were generated from geodetic latitude and longitude coordinate pairs as recorded on BLM's official protraction diagrams of the state of Alaska. Most corners are protracted corners, calculated by the Bureau of Land Management in lieu of field or survey locations. In 2013 and 2015 the Matanuska-Susitna Borough (MSB) shifted portions of this dataset to more accurately reflect the actual locations of section corners on the ground. These shifts occurred in the more populated areas of the MSB. Contact the MSB GIS division for more information.

  4. g

    1:50,000 Grid | gimi9.com

    • gimi9.com
    Updated Dec 2, 2012
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    (2012). 1:50,000 Grid | gimi9.com [Dataset]. https://gimi9.com/dataset/ca_8f02ff20-59de-0313-7b1a-8f6d8d41d1fe
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    Dataset updated
    Dec 2, 2012
    Description

    The boundaries of the map grid are defined by latitude and longitude. Each window is 15 minutes of latitude (approximately 28 km) by 30 minutes of longitude (approximately 38 km).

  5. Well Program Atlas Grid for New Jersey

    • hub.arcgis.com
    • anrgeodata.vermont.gov
    • +1more
    Updated Jan 1, 1996
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    NJDEP Bureau of GIS (1996). Well Program Atlas Grid for New Jersey [Dataset]. https://hub.arcgis.com/datasets/a4cb35d63a8742cbaa6773d82c05cd50
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    Dataset updated
    Jan 1, 1996
    Dataset provided by
    New Jersey Department of Environmental Protectionhttp://www.nj.gov/dep/
    Authors
    NJDEP Bureau of GIS
    Area covered
    Description

    This grid is based on an old map series called the New Jersey Atlas Sheets and on a reference system based on them called the New Jersey Rectangular Coordinate System. The grid system developed as the ATLAS_GRID does not exist on the atlas sheets but is based on latitude and longitude grids included on the sheets. The original 17 map sheets (numbered from 21 through 37) were produced with grid lines shown every 2 minutes of latitude and every 2 minutes of longitude, producing a regular grid of RECTANGLES. This rectangular grid forms the basis of the reference system. For each sheet, groups of RECTANGLES are aggregated together to form BLOCKS . Each BLOCK in each sheet is given a number from 1 to 45. Within each BLOCK, each RECTANGLE is numbered from 1 to 9. RECTANGLES are further divided into 9 sections called UNITS (numbered 1 to 9) and each UNIT divided into 9 sections called PARTS (also numbered 1 to 9). Each of these smallest sub divisions can be identified by a unique 7 digit code composed of the ATLAS SHEET number, and the number of the BLOCK, RECTANGLE, UNIT and PART. This 7 digit identifier is part of the historical well database and is still used on new permits.

  6. K

    Richardson, Texas US National Grid

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Aug 30, 2018
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    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
    Aug 30, 2018
    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

  7. e

    National topographic map grid 1: 50.000

    • data.europa.eu
    esri shape, wms
    Updated Jun 23, 2011
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    Centro Nacional de Información Geográfica (2011). National topographic map grid 1: 50.000 [Dataset]. https://data.europa.eu/data/datasets/https-datos-gob-es-catalogo-e00125901-spaigncuadriculamtn50201307150000?locale=en
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    wms, esri shapeAvailable download formats
    Dataset updated
    Jun 23, 2011
    Dataset authored and provided by
    Centro Nacional de Información Geográfica
    License

    https://www.ign.es/resources/licencia/Condiciones_licenciaUso_IGN.pdfhttps://www.ign.es/resources/licencia/Condiciones_licenciaUso_IGN.pdf

    Description

    Zip file containing several files in shape and text format (WKT) with the official MTN50 grid grids for the whole of Spain, in ED50 and ETRS89, in geographical coordinates longitude and latitude. The shape files are divided into three areas: Peninsula and Balearic Islands; Canary Islands; Ceuta, Melilla and Spanish possessions in northern Africa.This is the actual grid of MTN50, i.e. the grid that divides the current printed series on the map, taking into account special sheets and irregularities.

  8. a

    1 degree grid

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • mapdirect-fdep.opendata.arcgis.com
    • +1more
    Updated May 10, 2023
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    MapMaker (2023). 1 degree grid [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/mpmkr::latitudes-and-longitudes?layer=4
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    Dataset updated
    May 10, 2023
    Dataset authored and provided by
    MapMaker
    Area covered
    Earth
    Description

    A 1- by 1-degree latitude-longitude grid covering the world.

  9. c

    Data from: Connecticut State

    • geodata.ct.gov
    • data.ct.gov
    • +4more
    Updated Aug 22, 2019
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    Department of Energy & Environmental Protection (2019). Connecticut State [Dataset]. https://geodata.ct.gov/maps/ca35d94581834e3abf686f7354244858
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    Dataset updated
    Aug 22, 2019
    Dataset authored and provided by
    Department of Energy & Environmental Protection
    License

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

    Area covered
    Description

    Connecticut State Line includes the line features of a layer named Connecticut. Connecticut is a 1:24,000-scale, polygon and line feature-based layer that depicts the geographic area encompassed by and the boundary for the State of Connecticut. The State of Connecticut is represented as one polygon feature surrounded by linear boundary features. The layer is based on information from USGS topographic quadrangle maps published between 1969 and 1984 and latitude and longitude coordinates that define the boundary between the states of Connecticut and New York in Long Island Sound. Feature length and geographic area are encoded for linear and polygon features, respectively. This layer was originally published in 1994.

    Connecticut State Polygon includes the polygon features of a layer named Connecticut. Connecticut is a 1:24,000-scale, polygon and line feature-based layer that depicts the geographic area encompassed by and the boundary for the State of Connecticut. The State of Connecticut is represented as one polygon feature surrounded by linear boundary features. The layer is based on information from USGS topographic quadrangle maps published between 1969 and 1984 and latitude and longitude coordinates that define the boundary between the states of Connecticut and New York in Long Island Sound. Feature length and geographic area are encoded for linear and polygon features, respectively. This layer was originally published in 1994.

  10. G

    Latitude and Longitude of Canada

    • open.canada.ca
    • ouvert.canada.ca
    • +1more
    pdf
    Updated Mar 14, 2022
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    Natural Resources Canada (2022). Latitude and Longitude of Canada [Dataset]. https://open.canada.ca/data/en/dataset/39aec434-74a6-5ea4-8b9b-707966e1aa3e
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    pdfAvailable download formats
    Dataset updated
    Mar 14, 2022
    Dataset provided by
    Natural Resources Canada
    License

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

    Area covered
    Canada
    Description

    An outline map showing the coastline, boundaries and major lakes and rivers for Canada and nearby countries. Included are the locations of capitals and selected places, and major latitude and longitude lines (the graticule).

  11. c

    Lunar Grid Reference System (LGRS) Terrestrial Navigational Training Grids...

    • s.cnmilf.com
    Updated Feb 22, 2025
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    U.S. Geological Survey (2025). Lunar Grid Reference System (LGRS) Terrestrial Navigational Training Grids in Artemis Condensed Coordinate (ACC) Format [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/lunar-grid-reference-system-lgrs-terrestrial-navigational-training-grids-in-artemis-conden
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    Dataset updated
    Feb 22, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    USGS is assessing the feasibility of map projections and grid systems for lunar surface operations. We propose developing a new Lunar Transverse Mercator (LTM), the Lunar Polar Stereographic (LPS), and the Lunar Grid Reference Systems (LGRS). We have also designed additional grids to meet NASA requirements for astronaut navigation, referred to as LGRS in Artemis Condensed Coordinates (ACC). This data release includes LGRS grids finer than 25km (1km, 100m, and 10m) in ACC format for a small number of terrestrial analog sites of interest. The grids contained in this data release are projected in the terrestrial Universal Transverse Mercator (UTM) Projected Coordinate Reference System (PCRS) using the World Geodetic System of 1984 (WGS84) as its reference datum. A small number of geotiffs used to related the linear distortion the UTM and WGS84 systems imposes on the analog sites include: 1) a clipped USGS Nation Elevation Dataset (NED) Digital Elevation Model (DEM); 2) the grid scale factor of the UTM zone the data is projected in, 3) the height factor based on the USGS NED DEM, 4) the combined factor, and 5) linear distortion calculated in parts-per-million (PPM). Geotiffs are projected from WGS84 in a UTM PCRS zone. Distortion calculations are based on the methods State Plane Coordinate System of 2022. See Dennis (2021; https://www.fig.net/resources/proceedings/fig_proceedings/fig2023/papers/cinema03/CINEMA03_dennis_12044.pdf) for more information. Coarser grids, (>=25km) such as the lunar LTM, LPS, and LGRS grids are not released here but may be acceded from https://doi.org/10.5066/P13YPWQD and displayed using a lunar datum. LTM, LPS, and LGRS are similar in design and use to the Universal Transverse Mercator (UTM), Universal Polar Stereographic (LPS), and Military Grid Reference System (MGRS), but adhere to NASA requirements. LGRS ACC format is similar in design and structure to historic Army Mapping Service Apollo orthotopophoto charts for navigation. Terrestrial Locations and associated LGRS ACC Grids and Files: Projection Location Files UTM 11N Yucca Flat 1km Grid Shapefile 100m Grid Shapefile 10m Grid Shapefile USGS 1/3" DEM Geotiff UTM Projection Scale Factor Geotiff Map Height Factor Geotiff Map Combined Factor Geotiff Map Linear Distortion Geotiff UTM 12N Buffalo Park 1km Grid Shapefile 100m Grid Shapefile 10m Grid Shapefile USGS 1/3" DEM Geotiff UTM Projection Scale Factor Geotiff Map Height Factor Geotiff Map Combined Factor Geotiff Map Linear Distortion Geotiff Cinder Lake 1km Grid Shapefile 100m Grid Shapefile 10m Grid Shapefile USGS 1/3" DEM Geotiff UTM Projection Scale Factor Geotiff Map Height Factor Geotiff Map Combined Factor Geotiff Map Linear Distortion Geotiff JETT3 Arizona 1km Grid Shapefile 100m Grid Shapefile 10m Grid Shapefile USGS 1/3" DEM Geotiff UTM Projection Scale Factor Geotiff Map Height Factor Geotiff Map Combined Factor Geotiff Map Linear Distortion Geotiff JETT5 Arizona 1km Grid Shapefile 100m Grid Shapefile 10m Grid Shapefile USGS 1/3" DEM Geotiff UTM Projection Scale Factor Geotiff Map Height Factor Geotiff Map Combined Factor Geotiff Map Linear Distortion Geotiff Meteor Crater 1km Grid Shapefile 100m Grid Shapefile 10m Grid Shapefile USGS 1/3" DEM Geotiff UTM Projection Scale Factor Geotiff Map Height Factor Geotiff Map Combined Factor Geotiff Map Linear Distortion Geotiff UTM 13N HAATS 1km Grid Shapefile 100m Grid Shapefile 10m Grid Shapefile 1km Grid Shapefile Derby LZ Clip 100m Grid Shapefile Derby LZ Clip 10m Grid Shapefile Derby LZ Clip 1km Grid Shapefile Eagle County Regional Airport KEGE Clip 100m Grid Shapefile Eagle County Regional Airport KEGE Clip 10m Grid Shapefile Eagle County Regional Airport KEGE Clip 1km Grid Shapefile Windy Point LZ Clip 100m Grid Shapefile Windy Point LZ Clip 10m Grid Shapefile Windy Point LZ Clip USGS 1/3" DEM Geotiff UTM Projection Scale Factor Geotiff Map Height Factor Geotiff Map Combined Factor Geotiff Map Linear Distortion Geotiff UTM 15N Johnson Space Center 1km Grid Shapefile 100m Grid Shapefile 10m Grid Shapefile USGS 1/3" DEM Geotiff UTM Projection Scale Factor Geotiff Map Height Factor Geotiff Map Combined Factor Geotiff Map Linear Distortion Geotiff UTM 28N JETT2 Icelandic Highlands 1km Grid Shapefile 100m Grid Shapefile 10m Grid Shapefile USGS 1/3" DEM Geotiff UTM Projection Scale Factor Geotiff Map Height Factor Geotiff Map Combined Factor Geotiff Map Linear Distortion Geotiff The shapefiles and rasters utilize UTM projections. For GIS utilization of grid shapefiles projected in Lunar Latitude and Longitude should utilize a registered PCRS. To select the correct UTM EPSG code, determine the zone based on longitude (zones are 6° wide, numbered 1–60 from 180°W) and hemisphere (Northern Hemisphere uses EPSG:326XX; Southern Hemisphere uses EPSG:327XX), where XX is the zone number. For display in display in latitude and longitude, select a correct WGS84 EPSG code, such as EPSG:4326. Note: The Lunar Transverse Mercator (LTM) projection system is a globalized set of lunar map projections that divides the Moon into zones to provide a uniform coordinate system for accurate spatial representation. It uses a Transverse Mercator projection, which maps the Moon into 45 transverse Mercator strips, each 8°, longitude, wide. These Transverse Mercator strips are subdivided at the lunar equator for a total of 90 zones. Forty-five in the northern hemisphere and forty-five in the south. LTM specifies a topocentric, rectangular, coordinate system (easting and northing coordinates) for spatial referencing. This projection is commonly used in GIS and surveying for its ability to represent large areas with high positional accuracy while maintaining consistent scale. The Lunar Polar Stereographic (LPS) projection system contains projection specifications for the Moon’s polar regions. It uses a polar stereographic projection, which maps the polar regions onto an azimuthal plane. The LPS system contains 2 zones, each zone is located at the northern and southern poles and is referred to as the LPS northern or LPS southern zone. LPS, like its equatorial counterpart LTM, specifies a topocentric, rectangular, coordinate system (easting and northing coordinates) for spatial referencing. This projection is commonly used in GIS and surveying for its ability to represent large polar areas with high positional accuracy while maintaining consistent scale across the map region. LGRS is a globalized grid system for lunar navigation supported by the LTM and LPS projections. LGRS provides an alphanumeric grid coordinate structure for both the LTM and LPS systems. This labeling structure is utilized similarly to MGRS. LGRS defines a global area grid based on latitude and longitude and a 25×25 km grid based on LTM and LPS coordinate values. Two implementations of LGRS are used as polar areas require an LPS projection and equatorial areas a Transverse Mercator. We describe the differences in the techniques and methods reported in this data release. Request McClernan et. al. (in-press) for more information. ACC is a method of simplifying LGRS coordinates and is similar in use to the Army Mapping Service Apollo orthotopophoto charts for navigation. These grids are designed to condense a full LGRS coordinate to a relative coordinate of 6 characters in length. LGRS in ACC format is completed by imposing a 1km grid within the LGRS 25km grid, then truncating the grid precision to 10m. To me the character limit, a coordinate is reported as a relative value to the lower-left corner of the 25km LGRS zone without the zone information; However, zone information can be reported. As implemented, and 25km^2 area on the lunar surface will have a set of a unique set of ACC coordinates to report locations The shape files provided in this data release are projected in the LTM or LPS PCRSs and must utilize these projections to be dimensioned correctly.

  12. Weddell seal reporting grid of the Vestfold Hills, Antarctica

    • catalogue-temperatereefbase.imas.utas.edu.au
    • researchdata.edu.au
    • +1more
    Updated Feb 28, 2019
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    AU/AADC > Australian Antarctic Data Centre, Australia (2019). Weddell seal reporting grid of the Vestfold Hills, Antarctica [Dataset]. https://catalogue-temperatereefbase.imas.utas.edu.au/geonetwork/srv/api/records/Wed_map
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    www:link-1.0-http--linkAvailable download formats
    Dataset updated
    Feb 28, 2019
    Dataset provided by
    Australian Antarctic Divisionhttps://www.antarctica.gov.au/
    Australian Antarctic Data Centre
    Time period covered
    Sep 30, 1989 - Mar 31, 1990
    Area covered
    Description

    This is a digital version of the grid reference map used to plot all sightings of Weddell seals in the Vestfold Hills. The point of origin is the same as the original map and each grid cell is numbered with the same numbering scheme. This can be used to plot any data using the same numbering scheme by joining (ArcInfo) or linking (ArcView) records to this coverage's polygon attribute table (pat) through the item GRIDREF.

    The original map was a 1:100 000 map of the Vestfolds, provided by Harry Burton, with a grid drawn over it. The grid references were given as either six or four figure values on which field scientists are to plot their data.

    This map has the following Antarctic Division drawing reference number:

    M/75/05A

    Some research with John Cox revealed that this grid was drawn up over a map digitised from another map with the following specifications:

    Scale 1: 100 000 Date: 1958 (reprinted 1972) Projection: Polyconic Published by: Division of National Mapping, Canberra Reference number: NMP/58/084

    Data are referenced to a 'grid' of 1 minute spacing in x axis and 30 second spacing in y axis. The point of origin is apparently 68 20 S 77 48 E. There are 45 rows and 47 columns.

    The 'grid reference' is in fact in geographic coordinates (but using arbitrary units) so the projection of the original map became irrelevant.

    The procedure adopted to create a new digital grid was as follows:

    (Carried out in Arc/Info)

    1. Generate a coverage using the original 'grid references'.
    2. Tics were also generated using the corners of the 'grid reference' system.
    3. A new coverage was created with tics at the same locations but given the true latitude/longitude vales.
    4. The original coverage was then transformed to the new coverage based on the new tic values.
    5. The new coverage was then projected from geographic coordinates to UTM metres.

    The data locations were then viewed in Arc/Info using a coverage of the coastline supplied by the Mapping Officer, Antarctic Division. This had previously been determined to be in the UTM projection.

    An offset was clearly visible between the data locations and the coastline. In order to determine whether the offset was more or less uniform, ten locations were plotted from the original data onto the original map using the 'grid'. Finally a manual corrected was made by moving all the data locations by a uniform distance of 508 metres north and 68 metres west.

    Information from John van den Hoff, February 2019: The grid cells were originally labelled from 1 to 47 along the x axis and 1 to 45 along the y axis. The four digit values in the GRIDREF field of the attribute table are the x value followed by the y value. To avoid confusion between x and y values, the grid was later revised so that the y values were prefixed with a ‘1’ so for example 01 became 101. The GRIDREF_X and GRIDREF_Y fields have the x and y values of the revised grid. This needs to be kept in mind when data is sourced from field books. The map shows the revised grid.

  13. w

    USGS Map Indices Overlay Map Service from The National Map

    • data.wu.ac.at
    • catalog.data.gov
    esri rest, wfs, wms
    Updated Sep 13, 2018
    + more versions
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    U.S. Geological Survey, Department of the Interior (2018). USGS Map Indices Overlay Map Service from The National Map [Dataset]. https://data.wu.ac.at/schema/data_gov/M2JkYzUzZGUtZGExYS00NDMzLThiYWItMGNjNDdlZjVhM2Mx
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    esri rest, wfs, wmsAvailable download formats
    Dataset updated
    Sep 13, 2018
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    4b301c9da3a7ce0de7bc410ce6e3aa64ac0e14ec
    Description

    The USGS Map Indices service from The National Map (TNM) consists of 1x1 Degree, 30x60 Minute (100K), 15 Minute (63K), 7.5 Minute (24K), and 3.75 Minute grid polygons used in The National Map viewer for reference and to download data. At 1:24,000-scale (24K), the standard map size is 7.5 minutes of latitude by 7.5 minutes of longitude. At 1:100,000-scale (100K), the standard map size is 30 minutes of latitude by 60 minutes of longitude. The National Map viewer allows free download of public domain USGS map indices data in Esri File Geodatabase format.

  14. 1:20,000 Grid / Grille 1:20,000

    • gnb.socrata.com
    Updated Mar 22, 2025
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    Service New Brunswick / Service Nouveau-Brunswick (2025). 1:20,000 Grid / Grille 1:20,000 [Dataset]. https://gnb.socrata.com/GeoNB/1-20-000-Grid-Grille-1-20-000/js6t-a99d
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    tsv, application/rdfxml, csv, application/geo+json, xml, application/rssxml, kmz, kmlAvailable download formats
    Dataset updated
    Mar 22, 2025
    Dataset provided by
    Service New Brunswick
    Authors
    Service New Brunswick / Service Nouveau-Brunswick
    Description

    The boundaries of the map grid are defined by latitude and longitude. Each window is 6 minutes of latitude (approximately 11 km) by 12 minutes of longitude (approximately 15 km). / Les limites de la grille sont définies selon la latitude et la longitude. Chaque fenêtre correspond à 6 minutes de latitude (environ 11 km) sur 12 minutes de longitude (environ 15 km).

  15. g

    An introduction to topographic maps

    • ecat.ga.gov.au
    Updated Feb 4, 2025
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    (2025). An introduction to topographic maps [Dataset]. https://ecat.ga.gov.au/geonetwork/fonts/search?keyword=cartography
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    Dataset updated
    Feb 4, 2025
    Description

    A booklet that explains scale, distances, directions, map projections, latitude and longitude, grid references, legends and contours. Utilises the Rockhampton 1:100,000 topographic map for examples. Student activities included.

  16. l

    Kentucky One-Minute Carter Coordinate Grid

    • data.lojic.org
    • hamhanding-dcdev.opendata.arcgis.com
    Updated Jan 1, 1998
    + more versions
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    KyGovMaps (1998). Kentucky One-Minute Carter Coordinate Grid [Dataset]. https://data.lojic.org/maps/kygeonet::kentucky-one-minute-carter-coordinate-grid
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    Dataset updated
    Jan 1, 1998
    Dataset authored and provided by
    KyGovMaps
    License

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

    Area covered
    Description

    One-minute Carter Coordinate Grid. The Carter coordinate system is a grid, based on latitude and longitude, used to locate oil and gas wells in Kentucky. The system was developed by the Carter Oil Company to mimic the township and range location system in areas that had not been surveyed. The State is divided into a regular grid with each cell (or quad) being five minutes of latitude by five minutes of longitude. These quads are assigned letters (equivalent of the township) beginning with A in the south and increasing through Z and AA to GG northward. The quads are assigned numbers (equivalent of the range) beginning with zero (0) in the west and increasing to 92 in the east. Each five-minute by five-minute quad is further subdivided into 25 one-minute by one-minute sections. Within the one-minute section, the location is pinpointed by specifying the distance from an adacent pair of one-minute section boundaries to the well. The Carter coordinate is written by specifying a pair of footages from the one-minute section boundaries and the reference boundary (north, south, east, or west) for each, the one-minute section number, the five-minutes quad letter, and the five-minute quad number. A Carter coordinate and topographic index map of Kentucky is available from Publication Sales at the Kentucky Geological Survey.Data Download: https://kgs.uky.edu/kgsweb/download/state/CARTER1.ZIP

  17. u

    1:10,000 Grid - Catalogue - Canadian Urban Data Catalogue (CUDC)

    • data.urbandatacentre.ca
    Updated Oct 1, 2024
    + more versions
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    (2024). 1:10,000 Grid - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-69942bdb-560e-7420-e784-d7eaaed053a1
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    Dataset updated
    Oct 1, 2024
    Area covered
    Canada
    Description

    The boundaries of the map grid are defined by latitude and longitude. Each window is 3 minutes of latitude (approximately 5.5 km) by 6 minutes of longitude (approximately 7.5 km).

  18. d

    Geospatial Data from the Alpine Treeline Warming Experiment (ATWE) on Niwot...

    • search.dataone.org
    • data.ess-dive.lbl.gov
    • +2more
    Updated Jul 7, 2021
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    Fabian Zuest; Cristina Castanha; Nicole Lau; Lara M. Kueppers (2021). Geospatial Data from the Alpine Treeline Warming Experiment (ATWE) on Niwot Ridge, Colorado, USA [Dataset]. http://doi.org/10.15485/1804896
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    Dataset updated
    Jul 7, 2021
    Dataset provided by
    ESS-DIVE
    Authors
    Fabian Zuest; Cristina Castanha; Nicole Lau; Lara M. Kueppers
    Time period covered
    Jan 1, 2008 - Jan 1, 2012
    Area covered
    Description

    This is a collection of all GPS- and computer-generated geospatial data specific to the Alpine Treeline Warming Experiment (ATWE), located on Niwot Ridge, Colorado, USA. The experiment ran between 2008 and 2016, and consisted of three sites spread across an elevation gradient. Geospatial data for all three experimental sites and cone/seed collection locations are included in this package. ––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– Geospatial files include cone collection, experimental site, seed trap, and other GPS location/terrain data. File types include ESRI shapefiles, ESRI grid files or Arc/Info binary grids, TIFFs (.tif), and keyhole markup language (.kml) files. Trimble-imported data include plain text files (.txt), Trimble COR (CorelDRAW) files, and Trimble SSF (Standard Storage Format) files. Microsoft Excel (.xlsx) and comma-separated values (.csv) files corresponding to the attribute tables of many files within this package are also included. A complete list of files can be found in this document in the “Data File Organization” section in the included Data User's Guide. Maps are also included in this data package for reference and use. These maps are separated into two categories, 2021 maps and legacy maps, which were made in 2010. Each 2021 map has one copy in portable network graphics (.png) format, and the other in .pdf format. All legacy maps are in .pdf format. .png image files can be opened with any compatible programs, such as Preview (Mac OS) and Photos (Windows). All GIS files were imported into geopackages (.gpkg) using QGIS, and double-checked for compatibility and data/attribute integrity using ESRI ArcGIS Pro. Note that files packaged within geopackages will open in ArcGIS Pro with “main.” preceding each file name, and an extra column named “geom” defining geometry type in the attribute table. The contents of each geospatial file remain intact, unless otherwise stated in “niwot_geospatial_data_list_07012021.pdf/.xlsx”. This list of files can be found as an .xlsx and a .pdf in this archive. As an open-source file format, files within gpkgs (TIFF, shapefiles, ESRI grid or “Arc/Info Binary”) can be read using both QGIS and ArcGIS Pro, and any other geospatial softwares. Text and .csv files can be read using TextEdit/Notepad/any simple text-editing software; .csv’s can also be opened using Microsoft Excel and R. .kml files can be opened using Google Maps or Google Earth, and Trimble files are most compatible with Trimble’s GPS Pathfinder Office software. .xlsx files can be opened using Microsoft Excel. PDFs can be opened using Adobe Acrobat Reader, and any other compatible programs. A selection of original shapefiles within this archive were generated using ArcMap with associated FGDC-standardized metadata (xml file format). We are including these original files because they contain metadata only accessible using ESRI programs at this time, and so that the relationship between shapefiles and xml files is maintained. Individual xml files can be opened (without a GIS-specific program) using TextEdit or Notepad. Since ESRI’s compatibility with FGDC metadata has changed since the generation of these files, many shapefiles will require upgrading to be compatible with ESRI’s latest versions of geospatial software. These details are also noted in the “niwot_geospatial_data_list_07012021” file.

  19. BLM AK Protracted Grids

    • catalog.data.gov
    • gis.data.alaska.gov
    • +2more
    Updated Feb 5, 2024
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    Bureau of Land Management (2024). BLM AK Protracted Grids [Dataset]. https://catalog.data.gov/dataset/blm-ak-protracted-grids
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    Dataset updated
    Feb 5, 2024
    Dataset provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Description

    Township and section boundaries were generated from geodetic latitude and longitude coordinate pairs as recorded on BLM's official protraction diagrams of the state of Alaska.

  20. Firefly Grid Lines

    • s.cnmilf.com
    • ncei.noaa.gov
    • +1more
    Updated Oct 19, 2024
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    NOAA National Centers for Environmental Information (Point of Contact) (2024). Firefly Grid Lines [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/firefly-grid-lines3
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    Dataset updated
    Oct 19, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    Description

    Layers of 1, 5, 10, and 20 degree latitude and longitude intervals are provided to establish an optional cartographic hierarchy for enhanced figure/ground presentation. Finer grid lines (1 degree interval) are given a thinner line weight. The courser grid lines (through 20 degree interval) are shown with thicker line weight. The stacking of these grid lines create an additive opacity effect so that the courser lines appear more boldly. This sort of nested mesh provides visual interest, a consistent referential framework as the map reader zooms in and out, and the ability to visually track and compare the relative _location of features across ordinate lines. Grid lines have been clipped by their coincident _location over land or ocean. This provides the cartographer an added level of stylistic freedom when choosing to show or hide and symbolize various graticule scales depending on the underlying feature.

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Esri (2019). World Latitude and Longitude Grids [Dataset]. https://hub.arcgis.com/maps/ece08608f53949a4a4ee827fd5c30da1
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World Latitude and Longitude Grids

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5 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Dec 21, 2019
Dataset authored and provided by
Esrihttp://esri.com/
Area covered
World,
Description

World Latitude and Longitude Grids represents five latitude-longitude grids covering the world. The grids are provided at intervals of 1, 5, 10, 15, and 30 degrees and have visibility and scale ranges set for each to provide continuous delivery of a grid at any scale. To download the data for this layer as a layer package for use in ArcGIS desktop applications, refer to World Latitude and Longitude Grids.

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