100+ datasets found
  1. 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
    Explore at:
    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

  2. Internet map page views per user in Poland 2019, by generation

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Internet map page views per user in Poland 2019, by generation [Dataset]. https://www.statista.com/statistics/1031383/poland-popularity-of-internet-maps-by-age-group/
    Explore at:
    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2019
    Area covered
    Poland
    Description

    The survey data shows that ** to 29-year-olds in Poland generated the most significant amount of page views in the in the "Maps and Locators" category in April 2019. Among users in this age group, the average number of page views per user was **.

  3. Data from: Map of ecological sites and ecological states for the USDA...

    • catalog.data.gov
    • portal.edirepository.org
    • +2more
    Updated Apr 21, 2025
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    Agricultural Research Service (2025). Map of ecological sites and ecological states for the USDA Jornada Experimental Range [Dataset]. https://catalog.data.gov/dataset/map-of-ecological-sites-and-ecological-states-for-the-usda-jornada-experimental-range-367fd
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Agricultural Research Servicehttps://www.ars.usda.gov/
    Description

    This data package includes an ArcMap geodatabase: a polygon feature class, associated attribute table and metadata. The spatial data, JERStateMap_v1.gdb.zip, represents the ecological sites and states on the Jornada Experimental Range. The attribute table for the spatial data, JERStateMap.csv, and a summary of the spatial metadata, JERStateMapMetadata.pdf, are also included.

  4. d

    Scanned Hardcopy Maps, Prince George's County Scanned ADC Map Pages Mosaic...

    • datadiscoverystudio.org
    • data.wu.ac.at
    Updated Aug 19, 2017
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    (2017). Scanned Hardcopy Maps, Prince George's County Scanned ADC Map Pages Mosaic from GIS Intergrated Solutions, Published in 2010, 1:12000 (1in=1000ft) scale, Prince George's County Government.. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/0b57458daeca40e088fdc9ad54900be8/html
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    Dataset updated
    Aug 19, 2017
    Description

    description: Scanned Hardcopy Maps dataset current as of 2010. Prince George's County Scanned ADC Map Pages Mosaic from GIS Intergrated Solutions.; abstract: Scanned Hardcopy Maps dataset current as of 2010. Prince George's County Scanned ADC Map Pages Mosaic from GIS Intergrated Solutions.

  5. a

    Cadastral Tax Map Grid

    • data1-msb.opendata.arcgis.com
    • gis.data.alaska.gov
    • +4more
    Updated Jul 16, 2016
    + more versions
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    Matanuska-Susitna Borough (2016). Cadastral Tax Map Grid [Dataset]. https://data1-msb.opendata.arcgis.com/maps/cadastral-tax-map-grid
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    Dataset updated
    Jul 16, 2016
    Dataset authored and provided by
    Matanuska-Susitna Borough
    Area covered
    Description

    Index map page boundaries of the Mat-Su Borough Tax Map Page Index. The entire Borough is divided into a series of "base maps" and "index" or "grid maps". Base maps are given names that represent the geographical area represented (similar to USGS quad mapping) and index maps are numbered sequentially within the base map. The result is a base map with a two-character name (for example: ("WA" for Wasilla) and numbered index maps (usually numbered "1" thru "16"). The Mat-Su Borough tax map set is published using these pages.

  6. d

    Emergency Services Map Book Pages - Dataset - data.sa.gov.au

    • data.sa.gov.au
    Updated Nov 7, 2023
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    (2023). Emergency Services Map Book Pages - Dataset - data.sa.gov.au [Dataset]. https://data.sa.gov.au/data/dataset/emergency-services-map-book-pages
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    Dataset updated
    Nov 7, 2023
    License

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

    Area covered
    South Australia
    Description

    A polygon dataset showing the extent of each of the pages within the regional CFS Map Book series used for Emergency Management within South Australia.

  7. N

    Digital City Map – Shapefile

    • data.cityofnewyork.us
    • datasets.ai
    application/rdfxml +5
    Updated May 3, 2024
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    Department of City Planning (DCP) (2024). Digital City Map – Shapefile [Dataset]. https://data.cityofnewyork.us/w/m2vu-mgzw/25te-f2tw?cur=1hzGIUree2t
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    json, csv, xml, application/rssxml, application/rdfxml, tsvAvailable download formats
    Dataset updated
    May 3, 2024
    Dataset authored and provided by
    Department of City Planning (DCP)
    Description

    The Digital City Map (DCM) data represents street lines and other features shown on the City Map, which is the official street map of the City of New York. The City Map consists of 5 different sets of maps, one for each borough, totaling over 8000 individual paper maps. The DCM datasets were created in an ongoing effort to digitize official street records and bring them together with other street information to make them easily accessible to the public. The Digital City Map (DCM) is comprised of seven datasets; Digital City Map, Street Center Line, City Map Alterations, Arterial Highways and Major Streets, Street Name Changes (areas), Street Name Changes (lines), and Street Name Changes (points).

    All of the Digital City Map (DCM) datasets are featured on the Streets App

    All previously released versions of this data are available at BYTES of the BIG APPLE- Archive

    Updates for this dataset, along with other multilayered maps on NYC Open Data, are temporarily paused while they are moved to a new mapping format. Please visit https://www.nyc.gov/site/planning/data-maps/open-data/dwn-digital-city-map.page to utilize this data in the meantime.

  8. O

    County Map Books

    • data.sccgov.org
    application/rdfxml +5
    Updated Aug 20, 2021
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    Santa Clara County Archives (2021). County Map Books [Dataset]. https://data.sccgov.org/Government/County-Map-Books/f5uv-khdt
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    csv, json, application/rssxml, tsv, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Aug 20, 2021
    Dataset authored and provided by
    Santa Clara County Archives
    Description

    The Map Books consist of approximately 5,900 maps recorded with the county dating from circa 1850 to 1957. Recorded documents include subdivisions, surveys of property, cemetery plans, and other maps. Information on each map includes date recorded, person recorded for, and title of survey. Additional information may include notarized statement by property owner, statement by licensed surveyor, notice of approval by board of supervisors, and additional approvals by county or city officials. These maps are bound into 108 volumes. The archives have volumes A through Z, and volumes 1 through 82. Volumes not included are 44, 46, 48, 50, 51, 53, 55, 57, 59, 66, 68, 71, 73, 76, and 81.

  9. C

    Quaternary profile type map map page 3 - 9 Maarle - Arendonk

    • processor1.francecentral.cloudapp.azure.com
    • ckan.mobidatalab.eu
    kml, wcs, wms, zip
    Updated Apr 7, 2023
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    Open Data Vlaanderen (2023). Quaternary profile type map map page 3 - 9 Maarle - Arendonk [Dataset]. http://processor1.francecentral.cloudapp.azure.com/dataset/quaternary-profile-type-map-map-3-9-maarle-arendonk
    Explore at:
    wcs, zip, wms, kmlAvailable download formats
    Dataset updated
    Apr 7, 2023
    Dataset provided by
    Open Data Vlaanderen
    Area covered
    Arendonk
    Description

    This map gives a picture of the Quaternary profile types that occur on the map sheet. The map shows the sequence of most recent deposits. These deposits are aeolian, fluvial, tidal deposits or slope deposits. The areas of the Quaternary map represent the zones where similar successions of specific Quaternary layers (profile types) occur. The supplementary isohypse and isopache maps and the supplementary texts should provide clues about the thickness of the various constituent layers of a profile type. The Quaternary deposits in Flanders are laterally and vertically heterogeneous and vary greatly in thickness.

  10. Average internet map and locator page view duration in Poland 2019, by age...

    • statista.com
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    Statista, Average internet map and locator page view duration in Poland 2019, by age group [Dataset]. https://www.statista.com/statistics/1031390/poland-map-and-locator-page-view-duration/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2019
    Area covered
    Poland
    Description

    In Poland, users aged 40-49 spent the most time on map and locator websites, an average of * minute and ** seconds per view. The oldest generation visited maps and locators for the shortest amount of time - * minute ** seconds.

  11. k

    Mapbook Pages

    • hub.k3gis.com
    Updated Oct 27, 2016
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    Kankakee County GIS (2016). Mapbook Pages [Dataset]. https://hub.k3gis.com/datasets/mapbook-pages
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    Dataset updated
    Oct 27, 2016
    Dataset authored and provided by
    Kankakee County GIS
    Description

    The old map suffered a basemap failure in July 2016 due to Mapquest tile policy revision. This NEW map allows the user improved search functionality, embedded pdf mapping with and without 2015 arieal basemap, as well as general housing and population census information at the 400 scale.

  12. a

    Fire District Map Pages

    • hub.arcgis.com
    Updated Mar 15, 2023
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    Clark County, Washington (2023). Fire District Map Pages [Dataset]. https://hub.arcgis.com/datasets/7da226f32a89488c81d720c4115b1ba5
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    Dataset updated
    Mar 15, 2023
    Dataset authored and provided by
    Clark County, Washington
    Area covered
    Description

    Fire District Map Pages - Map pages represent square mile rectangles covering Clark County, southern Cowlitz County and western Skamania County. They are used by fire agencies as map extents for the map books they may carry in their vehicles. Map pages are loosely based on Public Land Survey System sections (square miles), and the unique four-digit code for each map page is based on the township, range, and section numbers. However, they should not be used as a survey or legal description reference. Map pages are also a component of CRESA's Public Alert Grid map.See Clark County Metadata Data source: ..\FGDB\dw_PubSafety.gdb\MapPages

  13. a

    Potential Public Nourishment Sites Map

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • mapthatcapecod.com
    Updated Nov 30, 2023
    + more versions
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    Center for Coastal Studies (2023). Potential Public Nourishment Sites Map [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/9f25156797b44aa984755edc2eb748de
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    Dataset updated
    Nov 30, 2023
    Dataset authored and provided by
    Center for Coastal Studies
    Area covered
    Description

    This map includes identified public shoreline parcels that could potentially serve as public nourishment sites. Parcels have been organized into tiers ranging from highest to lowest nourishment site potential. Beach nourishment along the Cape Cod Bay shoreline and within the ISM planning area is typically performed on a parcel by-parcel basis as partial mitigation for potential impacts associated with projects requiring approval under the state wetland regulations (310 CMR 10.00) and local wetland bylaws. As a proactive shoreline management strategy an alternative to the parcel-by-parcel nourishment approach was explored to identify potential public nourishment sites that could more effectively achieve nourishment goals based on their location within a littoral cell. Parcels have been organized into tiers ranging from highest to lowest nourishment site potential based on location within a littoral cell, distances from mean high water and the highest high tide of the year to the base of a coastal landform (e.g., the bottom of a coastal bank), proximity to sensitive environmental features (e.g., salt marshes, tidal creeks), proximity to shoreline alterations and uses (e.g., groins, aquaculture), distance from mean high water and the highest high tide of the year to shore parallel coastal engineering structures (e.g., rock walls, revetments). Do to the dynamic nature of the shoreline, final determinations of the nourishment potential of public parcels will necessarily be dependent on the results of a contemporary field survey.

  14. l

    LACoFD Map Index (Feature Layer)

    • data.lacounty.gov
    • geohub.lacity.org
    • +3more
    Updated Jun 5, 2020
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    County of Los Angeles (2020). LACoFD Map Index (Feature Layer) [Dataset]. https://data.lacounty.gov/maps/lacofd-map-index-feature-layer
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    Dataset updated
    Jun 5, 2020
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    This map page grid was designed and implemented by the Los Angeles County Fire Department, Information Management Division, and Geographic Information Systems Section. Wholly based on the United States National Grid (USNG), it aims to be the Los Angeles County regional grid because of its ease of use and extensive coverage.

    Each block measures 2,000 meters by 2,000 meters and are comprised of four 1,000 meter/1 kilometer USNG blocks. i.e. 11SLT4771, 11SLT4871, 11SLT4770 and 11SLT4870; left to right and up to down. For ease of use each 2,000 meter block is designated by a page number from 1 to 9,750, and it is inferred that the 1,000 meter divisions of each page are designated A, B, C or D; left to right and up to down. Therefore, each 1,000 meter block within this regional grid has a unique descriptor of 4 numerals and 1 letter.

    The region covered by the grid includes Los Angeles County completely and 2 of the islands in the Channel Islands archipelago that fall into the Los Angeles County jurisdiction. It also covers close to 100% of Orange County, 50% of Ventura County, and the Los Angeles County adjacent portions of Kern County, San Bernardino County and Riverside County, and a portion of Marine Corps Base Camp Pendleton in Northwest San Diego County.

    PAGE = Grid Number

    Reference Date: 2016

    Contact Information:

    Los Angeles County Fire Department Geographic Information Systems Section LACoFDGIS@fire.lacounty.gov

  15. C

    River Map 2nd Revision Series 2 Edition

    • ckan.mobidatalab.eu
    Updated Jul 13, 2023
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    OverheidNl (2023). River Map 2nd Revision Series 2 Edition [Dataset]. https://ckan.mobidatalab.eu/dataset/24516-rivierkaart-2e-herziening-serie-2-uitgave
    Explore at:
    http://publications.europa.eu/resource/authority/file-type/map_srvc, http://publications.europa.eu/resource/authority/file-type/wcs_srvc, http://publications.europa.eu/resource/authority/file-type/jpeg, http://publications.europa.eu/resource/authority/file-type/wms_srvcAvailable download formats
    Dataset updated
    Jul 13, 2023
    Dataset provided by
    OverheidNl
    License

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

    Description

    Mosaic of old river maps in ECW made from old river maps that have been scanned. After this, the leaf margins were removed and the images were georeferenced in RD. After this, a mosaic was made in ECW format for each edition, series or revision. In an accompanying index file (shape) you can find the year of each separate card. Pannerdensch Canal, Lower Rhine, Lek, Nieuwe Maas, Scheur, Nieuwe Waterweg / [Rijkswaterstaat]. - Scale 1:5,000 / 1:10,000. - [Second revision]. - 's-Gravenhage : Staatsdrukkerij, 1914-1961. - 1 series in 31 sheets: lithography; various formats. Title taken from map page 1 Herwen. For page 2, see the statement at series II of the "Vassenreview" . Author credits and impression vary. Map sheets 15-29 on a scale of 1:5,000. The map sheets on the scales 1:10,000 and 1:5,000 also appear as a separate series. The cover titles along the top of the card vary. Single map sheets in combination with other series. Some pages 3rd and 4th edition. This mosaic contains the extra editions of this series.

  16. f

    Step-wise reduction in candidate map pages.

    • plos.figshare.com
    xls
    Updated Jun 10, 2023
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    Jonathan Tollefson; Scott Frickel; Maria I. Restrepo (2023). Step-wise reduction in candidate map pages. [Dataset]. http://doi.org/10.1371/journal.pone.0255507.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jonathan Tollefson; Scott Frickel; Maria I. Restrepo
    License

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

    Description

    Step-wise reduction in candidate map pages.

  17. C

    Quaternary profile type map map page 5 - 6 Sint-Margriete - Watervliet

    • processor1.francecentral.cloudapp.azure.com
    • ckan.mobidatalab.eu
    kml, wcs, wms, zip
    Updated Apr 12, 2023
    + more versions
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    Open Data Vlaanderen (2023). Quaternary profile type map map page 5 - 6 Sint-Margriete - Watervliet [Dataset]. http://processor1.francecentral.cloudapp.azure.com/dataset/activity/quaternary-profile-type-map-card-page-5-6-sint-margriete-watervliet
    Explore at:
    wms, wcs, zip, kmlAvailable download formats
    Dataset updated
    Apr 12, 2023
    Dataset provided by
    Open Data Vlaanderen
    Area covered
    Sint-Margriete
    Description

    This map gives a picture of the Quaternary profile types that occur on the map sheet. The map shows the sequence of most recent deposits. These deposits are aeolian, fluvial, tidal deposits or slope deposits. The areas of the Quaternary map represent the zones where similar successions of specific Quaternary layers (profile types) occur. The supplementary isohypse and isopache maps and the supplementary texts should provide clues about the thickness of the various constituent layers of a profile type. The Quaternary deposits in Flanders are laterally and vertically heterogeneous and vary greatly in thickness. This map has been prepared separately, but without accompanying explanation.

  18. Data from: Leaf Area Index Maps at 30-m Resolution, Selected Sites, Canada

    • s.cnmilf.com
    • datasets.ai
    • +7more
    Updated Jun 28, 2025
    + more versions
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    ORNL_DAAC (2025). Leaf Area Index Maps at 30-m Resolution, Selected Sites, Canada [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/leaf-area-index-maps-at-30-m-resolution-selected-sites-canada-6b55a
    Explore at:
    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Oak Ridge National Laboratory Distributed Active Archive Center
    Area covered
    Canada
    Description

    This data set provides local LAI maps for the selected measured sites in Canada. These derived maps may also be useful for validating other LAI maps over these same sites given that the areas are protected from disturbance. The maps should be used for the given period of validity. The LAI data are suitable for use in modeling the carbon, water, energy, energy and trace gas exchange between the land surface and the atmosphere at regional scales. The data set may also be useful for monitoring changes in the land surface.The Leaf Area Index (LAI) maps are at 30-m resolution for the selected sites. LAI is defined here as half the total (all-sided) live foliage area per unit horizontal projected ground surface area. Overstory LAI corresponds to all tree foliage except for treeless areas where it corresponds to total foliage. The algorithms were developed from ground measurements and Landsat TM and ETM+ images (Fernandes et. al., 2003). A mask was developed using the Landsat ETM+/TM5 image and available land cover map to identify only those areas with land cover belonging to the sample land cover classes and with Landsat ETM+/TM5 spectral reflectance values that fell within the convex hull of the spectral reflectance values over the plots. LAI was mapped within the masked region using the Landsat ETM+/TM5 image and the developed transfer function. The final LAI map was scaled by a factor of 20 (offset 0). The LAI maps are in Tagged Image File Format (TIFF).

  19. s

    World map of Astronomical Observatory Sites (ESO)

    • data.smartidf.services
    • datastro.eu
    • +1more
    csv, excel, geojson +1
    Updated Jun 27, 2022
    + more versions
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    (2022). World map of Astronomical Observatory Sites (ESO) [Dataset]. https://data.smartidf.services/explore/dataset/eso-astronomical-observatory-sites/
    Explore at:
    csv, json, excel, geojsonAvailable download formats
    Dataset updated
    Jun 27, 2022
    Area covered
    World
    Description

    This worldwide list & map of Astronomical Observatory Sites is issued from this page http://www.eso.org/~ndelmott/obs_sites.html, on the ESO (European Southern Observatory) website.Some of the coordinates are reproduced from The Astronomical Almanac Online and produced by the U.S. Naval Observatory and H.M. Nautical Almanac Office.

  20. d

    References Check In Map Index 3

    • catalog.data.gov
    • data.oregon.gov
    Updated Jan 31, 2025
    + more versions
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    State of Oregon (2025). References Check In Map Index 3 [Dataset]. https://catalog.data.gov/dataset/references-check-in-map-index-3
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    Dataset updated
    Jan 31, 2025
    Dataset provided by
    State of Oregon
    Description

    SLIDO-4.5 is an Esri ArcGIS version 10.7 file geodatabase which can be downloaded here: https://www.oregon.gov/dogami/slido/Pages/data.aspx The geodatabase contains two feature datasets (a group of datasets within the geodatabase) containing six feature classes total, as well as two raster data sets, one individual table, and two individual feature classes. The original studies vary widely in scale, scope and focus which is reflected in the wide range of accuracy, detail, and completeness with which landslides are mapped. In the future, we propose a continuous update of SLIDO. These updates should take place: 1) each time DOGAMI publishes a new GIS dataset that contains landslide inventory or susceptibility data or 2) at the end of each winter season, a common time for landslide occurrences in Oregon, which will include recent historic landslide point data. In order to keep track of the updates, we will use a primary release number such as Release 4.0 along with a decimal number identifying the update such as 4.5.

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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

Key Map Grid Index

Explore at:
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

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