100+ datasets found
  1. v

    Property addresses

    • opendata.vancouver.ca
    • vancouver.opendatasoft.com
    csv, excel, geojson +1
    Updated Jun 30, 2025
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    (2025). Property addresses [Dataset]. https://opendata.vancouver.ca/explore/dataset/property-addresses/
    Explore at:
    excel, json, csv, geojsonAvailable download formats
    Dataset updated
    Jun 30, 2025
    License

    https://opendata.vancouver.ca/pages/licence/https://opendata.vancouver.ca/pages/licence/

    Description

    The property addresses dataset contains addresses used for parcel polygon display. Please note: these addresses are the primary addresses displayed in VanMap and do not represent a complete set of all addresses. Some addresses are duplicated because they appear more than once on VanMap.For other related property datasets, such as property parcel polygons and property cadastral boundaries, you may wish to filter datasets on the property keyword. Data currencyThis data in City systems is updated frequently in the normal course of business, however priorities and resources determine how fast a change in reality is reflected in the database. The extract on this website is updated weekly. Data accuracyMuch of the City's land base is created using survey accuracy however some features are not as precise.

  2. D

    Van Buren Township Tax Maps

    • detroitdata.org
    • hub.arcgis.com
    • +1more
    html
    Updated Aug 13, 2018
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    lhaygood_wayne (2018). Van Buren Township Tax Maps [Dataset]. https://detroitdata.org/dataset/van-buren-township-tax-maps
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Aug 13, 2018
    Dataset provided by
    lhaygood_wayne
    Area covered
    Van Buren Township
    Description

    Historical PDF copy of tax maps of Township of Van Buren


    Disclaimer: Wayne County is not responsible for the content or accuracy of the data contained in the tax maps. The information is as of 2010, and is provided for reference only and WITHOUT WARRANTY of any kind, expressed or inferred. Please contact the local municipality if you believe there are errors in this data.

  3. ESI-VI10 Jost Van Dyke, U.K. Virgin Islands 2000 (Environmental Sensitivity...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Mar 22, 2025
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    National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office of Response and Restoration (OR&R), Hazardous Materials Response Division (HAZMAT) (Point of Contact) (2025). ESI-VI10 Jost Van Dyke, U.K. Virgin Islands 2000 (Environmental Sensitivity Index Map) [Dataset]. https://catalog.data.gov/dataset/esi-vi10-jost-van-dyke-u-k-virgin-islands-2000-environmental-sensitivity-index-map4
    Explore at:
    Dataset updated
    Mar 22, 2025
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    Jost Van Dyke, British Virgin Islands
    Description

    Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the event of an oil spill incident. ESI maps contain three types of information: shoreline habitats (classified according to their sensitivity to oiling), sensitive biological resources, and human-use resources. Most often, this information is plotted on 7.5 minute USGS quadrangles, although in the Alaska ESI maps, USGS topographic maps at scales of 1:63,360 and 1:250,000 are used, and in other ESI maps, NOAA charts have been used as the base map. Collections of these maps, grouped by state or a logical geographic area, are published as ESI atlases. Digital data have been published for most of the U.S. shoreline, including Alaska, Hawaii, and Puerto Rico.

  4. d

    Van Deemen Property Plan

    • datadiscoverystudio.org
    pdf
    Updated May 7, 2014
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    Arizona Department of Mines and Mineral Resources (2014). Van Deemen Property Plan [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/78c2f2ce61dc44d6b8c96050fe68041c/html
    Explore at:
    pdfAvailable download formats
    Dataset updated
    May 7, 2014
    Authors
    Arizona Department of Mines and Mineral Resources
    Area covered
    Description

    ADMMR map collection: Van Deemen Property Plan; 1 in. to 1200 feet; 24 x 35 in.

  5. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
    Updated Apr 6, 2013
    + more versions
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    U.S. Geological Survey (2013). ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/4d5d7e4c194b4f0bbd184a9e77c352e1/html
    Explore at:
    Dataset updated
    Apr 6, 2013
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Description

    Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

  6. s

    ScienceBase Item Summary Page

    • cinergi.sdsc.edu
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    U.S. Geological Survey, ScienceBase Item Summary Page [Dataset]. http://cinergi.sdsc.edu/geoportal/rest/metadata/item/8687f4b5d7124cf69c4180870dbbafec/html
    Explore at:
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Description

    Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

  7. Cape Van Diemen 1:250 000, R502 historical topographic map

    • devweb.dga.links.com.au
    • dev.ecat.ga.gov.au
    • +1more
    Updated Jan 13, 2025
    + more versions
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    Geoscience Australia (2025). Cape Van Diemen 1:250 000, R502 historical topographic map [Dataset]. https://devweb.dga.links.com.au/data/dataset/cape-van-diemen-1-250-000-r502-historical-topographic-map
    Explore at:
    jpeg, 0main%20features32008Available download formats
    Dataset updated
    Jan 13, 2025
    Dataset authored and provided by
    Geoscience Australiahttp://ga.gov.au/
    Description

    The R502 series of maps has been replaced by the National Topographic Map Series (NTMS). The R502 series consists of 542 map sheets and covers Australia at a scale of 1:250,000. It was compiled from aerial photography, but only about one quarter of the series was contoured. The standard sheet size is 1 degree of latitude by 1.5 degrees of longitude. Transverse Mercator map projection and Clark 1858 datum were used. Coverage of the country was completed in 1968.

  8. d

    Data from: Geologic map of Van Bremmer Park Quadrangle, Colfax County, New...

    • search.dataone.org
    • data.doi.gov
    Updated Oct 29, 2016
    + more versions
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    Charles L. Pillmore (2016). Geologic map of Van Bremmer Park Quadrangle, Colfax County, New Mexico [Dataset]. https://search.dataone.org/view/15fca723-ec45-498f-a6f3-65e1de016992
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Charles L. Pillmore
    Area covered
    Description

    The Raton basin is a large asymmetric syncline (2500 mi2 area) that extends from Huerfano Park, Colorado to Cimarron, New Mexico. As used here, the basin is defined by the limits of the outcrop of the Trinidad Sandstone. The Cretaceous and Tertiary rocks are sharply flexed to form hogbacks along the western margin of the basin on the east flank of the Sangre de Cristo Mountains. These rocks assume more gentle dips along the other margins of the Raton basin and are highly dissected. The Late Cretaceous in the Raton basin was a period of emergence of land and retreat of the Cretaceous epeiric sea. The coastline advanced eastward across New Mexico, as broad prograding deltaic and barrier coastal plains were formed seaward of aggrading fluvial systems. This map depicts the stratigraphic context and areal extent of uppermost Cretaceous and Paleocene rocks in the Raton basin including the marine Pierre Shale, marginal-marine Trinidad Sandstone, non-marine coal-bearing Vermejo Formation, non-marine coal-bearing Raton Formation and non-marine, non-coal-bearing Poison Canyon Formation.

  9. C

    Historical map 1557a (J. van Deventer)

    • ckan.mobidatalab.eu
    Updated Jul 13, 2023
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    OverheidNl (2023). Historical map 1557a (J. van Deventer) [Dataset]. https://ckan.mobidatalab.eu/dataset/odn-historische-kaart-1557a-j-van-deventer
    Explore at:
    http://publications.europa.eu/resource/authority/file-type/wms_srvc, http://publications.europa.eu/resource/authority/file-type/pngAvailable 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

    Area covered
    Deventer
    Description

    This map layer shows Nijmegen in the year 1557. This dataset is offered as an OGC:WMS service. In addition, it is possible to download the data directly in two resolutions (png file format).

  10. s

    Van Dyke Copper Company Assay Map of 1212 Level Underground Workings

    • cinergi.sdsc.edu
    pdf
    Updated May 7, 2014
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    Brichta, L. C. (2014). Van Dyke Copper Company Assay Map of 1212 Level Underground Workings [Dataset]. http://cinergi.sdsc.edu/geoportal/rest/metadata/item/d1201d8989b143ce877d27da4bf25431/html
    Explore at:
    pdfAvailable download formats
    Dataset updated
    May 7, 2014
    Authors
    Brichta, L. C.
    Area covered
    Description

    ADMMR map collection: Van Dyke Copper Company Assay Map of 1212 Level Underground Workings; 1 in. to 20 feet; 37 x 36 in.

  11. D

    Map Comparison data

    • dataverse.nl
    application/dbf, bin +4
    Updated Jan 20, 2025
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    CJE Schulp; Benjamin Burkhard; Joachim Maes; Jasper Van Vliet; Peter H Verburg; CJE Schulp; Benjamin Burkhard; Joachim Maes; Jasper Van Vliet; Peter H Verburg (2025). Map Comparison data [Dataset]. http://doi.org/10.34894/80AA6V
    Explore at:
    tiff(121631), xml(1903), tiff(614665), tiff(114407), xml(7178), tiff(129037), xml(1891), xml(6813), xml(7185), tiff(245103), xml(6778), dir(6840), application/dbf(288), tiff(2646606), application/dbf(250), tiff(612404), xml(2655), tiff(2646728), xml(6779), tiff(611006), tiff(252097), xml(1844), xml(1854), xml(7043), bin(98), tiff(1301407), tiff(245137), xml(6792), tiff(122961), xml(2652), tiff(2645817), tiff(614601), xml(2657), xml(2656), pdf(222790), xml(7182), tiff(178866), xml(2469), tiff(251511), xml(7184), tiff(251825), tiff(120245), tiff(599422), xml(1926), tiff(9128423), tiff(9127160), tiff(123631), xml(7193), tiff(630605), xml(1819), xml(7165), xml(7206)Available download formats
    Dataset updated
    Jan 20, 2025
    Dataset provided by
    DataverseNL
    Authors
    CJE Schulp; Benjamin Burkhard; Joachim Maes; Jasper Van Vliet; Peter H Verburg; CJE Schulp; Benjamin Burkhard; Joachim Maes; Jasper Van Vliet; Peter H Verburg
    License

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

    Description

    Spatial data from Schulp et al., 2014. Uncertainties in ecosystem service maps: A comparison on the European scale. PloS ONE 9, e109643. Safeguarding the benefits that ecosystems provide to society is increasingly included as a target in international policies. To support such policies, ecosystem service maps are made. However, there is little attention for the accuracy of these maps. We made a systematic review and quantitative comparison of ecosystem service maps on the European scale to generate insights in the uncertainty of ecosystem service maps and discuss the possibilities for quantitative validation. This data package contains maps of the ecosystem services climate regulation, erosion protection, flood regulation, pollination, and recreation. For each service, a map of the average supply according to all analyzed maps is included, as well as a map of the uncertainty of the service. The data package contains a detailed read-me.

  12. C

    Historical map 1639 (Van Geelkercken)

    • ckan.mobidatalab.eu
    Updated Jul 13, 2023
    + more versions
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    OverheidNl (2023). Historical map 1639 (Van Geelkercken) [Dataset]. https://ckan.mobidatalab.eu/dataset/odn-historische-kaart-1639-van-geelkercken
    Explore at:
    http://publications.europa.eu/resource/authority/file-type/wms_srvc, http://publications.europa.eu/resource/authority/file-type/pngAvailable 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

    This map layer shows Nijmegen in the year 1639. This dataset is offered as an OGC:WMS service. In addition, it is possible to download the data directly in two resolutions (png file format).

  13. Land Use Map of Vietnam (2018) used in the making of Vietnam Biomass Atlas

    • zenodo.org
    zip
    Updated Jan 24, 2020
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    Albertine Potter van Loon; Albertine Potter van Loon (2020). Land Use Map of Vietnam (2018) used in the making of Vietnam Biomass Atlas [Dataset]. http://doi.org/10.5281/zenodo.2643323
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jan 24, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Albertine Potter van Loon; Albertine Potter van Loon
    License

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

    Area covered
    Vietnam
    Description

    Albertine Potter van Loon. (2018). Land Use Map of Vietnam used in the making of Vietnam Biomass Atlas [Raster file]. Available from Energydata.info Website: https://energydata.info/dataset/vietnam-biomass-atlas-2017 #VIETSE

  14. C

    Salinization map 2014/2017 conservative (mTAW)

    • ckan.mobidatalab.eu
    kml, wcs, wms
    Updated Jul 27, 2023
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    Open Data Vlaanderen (2023). Salinization map 2014/2017 conservative (mTAW) [Dataset]. https://ckan.mobidatalab.eu/dataset/verziltingskaart-2014-2017-conservatief-mtaw
    Explore at:
    kml, wms, wcsAvailable download formats
    Dataset updated
    Jul 27, 2023
    Dataset provided by
    Open Data Vlaanderen
    Description

    The map, based on the helicopter measurements of 2014 and 2017, shows a conservative estimate of the depth of the interface between fresh and brackish groundwater in meters TAW. Taking into account the uncertainty of the measurements, two versions of the salinization map were drawn up: 1. A conservative estimate of the depth of the interface, assuming a 96% chance that fresh groundwater will be found above this interface. 2. An optimistic estimate of the depth of the interface assuming an 89% chance of fresh groundwater being found above this interface. Fresh water means a conductivity less than 2000 µS/cm. It is recommended to consult both interfaces to estimate the fresh-brackish water distribution at a particular location. In addition, the data points are available (“versiltingskaart_2014/2017_helicopter measurements”) so that it can be checked where effective measurements were taken and where interpolation took place. The data points are located on flight lines where a vertical profile can be consulted showing the salinity, the bulk resistivity, the lithology and the stratigraphy. The profiles show the boundary between fresh and brackish (optimistic and conservative) and between brackish and saline groundwater. The boundary between brackish and saline groundwater is defined as 25000 µS/cm. Due to buildings and other obstacles, certain zones within the coastal and polder area could not be measured. For these areas, one can fall back on the 1974 salinization map.

  15. C

    Salinization map 2014 - eastern coastal area (m-mv)

    • ckan.mobidatalab.eu
    kml, wcs, wms, zip
    Updated Jul 27, 2023
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    Open Data Vlaanderen (2023). Salinization map 2014 - eastern coastal area (m-mv) [Dataset]. https://ckan.mobidatalab.eu/pl/dataset/verziltingskaart-2014-oostelijk-kustgebied-m-mv
    Explore at:
    zip, wcs, kml, wmsAvailable download formats
    Dataset updated
    Jul 27, 2023
    Dataset provided by
    Open Data Vlaanderen
    Description

    The map shows the depth of the 6 ?m interface in meters relative to ground level. This interface can be regarded as the interface between fresh and saline groundwater. By visualizing the map together with the data points, you know where measurements were taken and where interpolation took place. The map is the result of electromagnetic measurements carried out from the air in April 2014. The resistance of the subsurface was determined. The 6 ?m interface was derived from this. Resistivities (or resistances) of the subsoil less than 6 ?m can almost always be attributed to the presence of brackish or saline groundwater. The map is indicative and gives a global picture of the spatial distribution of saline and non-saline sediments in the eastern coastal plain. To know the local salinity distribution and lithological variation in detail, further research by the end user is necessary.

  16. N

    The subcortical and neurochemical organization of the ventral and dorsal...

    • neurovault.org
    nifti
    Updated Jan 4, 2022
    + more versions
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    (2022). The subcortical and neurochemical organization of the ventral and dorsal attention networks: VAN statistical map [Dataset]. http://identifiers.org/neurovault.image:772901
    Explore at:
    niftiAvailable download formats
    Dataset updated
    Jan 4, 2022
    License

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

    Description

    Ventral Attention Network group t-stat map, after functional alignment.

    Collection description

    Subject species

    homo sapiens

    Modality

    fMRI-BOLD

    Analysis level

    group

    Cognitive paradigm (task)

    rest eyes open

    Map type

    T

  17. Dutch grid map layers for biodiversity surveys

    • zenodo.org
    bin
    Updated Apr 23, 2024
    + more versions
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    Laurens Sparrius; Laurens Sparrius (2024). Dutch grid map layers for biodiversity surveys [Dataset]. http://doi.org/10.5281/zenodo.7640805
    Explore at:
    binAvailable download formats
    Dataset updated
    Apr 23, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Laurens Sparrius; Laurens Sparrius
    License

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

    Description

    This dataset contains map layers in GeoPackage format with the following grids used in biodiversity surveys in the Netherlands:

    Layer nameSize (m)Description
    IvonGrid Kwartierhok1250x1042 Used between 1902 and 1950 by IVON botanical surveys.
    IvonGrid Uurhok5000x4168 Used between 1902 and 1950 by IVON botanical surveys. Each square contains 16 'kwartierhok' squares with corresponding first four characters in column name.
    RdGrid Kilometerhok1000Used since 1950 in biodiversity surveys. Squares that fall within the same 5 km square have the same value
    RdGrid Uurhok5000Used since 1950 in biodiversity surveys. Each square contains 25 kilometer squares.

    The RdGrid maps are available in the WGS84 and RD New (EPSG:28992) spatial reference systems, as they are aligned to rounded RD coordinates. IvonGrid is only available in WGS84.

    Grid square codes

    Kilometerhok (1x1 km) and Uurhok (5x5) grids have corresponding grid square codes. A code consists of three concatenated numbers for map sheat (1-62), 5 km square (11-58) and 1 km square (11-55). E.g. a 5 km square code looks like 4017. In literature and on collection labels this often written as 40.17 or 40-17.

    Maintanance

    This dataset is being curated by FLORON Plant Conservation Netherlands since 1988 for use in botanical surveys (Theo Peterbroers, Bart Vreeken and Ruud Beringen).

    History

    IVON stands for "Instituut voor Vegetatie-onderzoek Nederland", an NGO founded in 1930 was most active until the 1950's and then succeeded by FLORON in 1988. More information about the repartition of the IVON grid can be found in Atlas van de Nederlandse Flora part 1 (Mennema et al. 1989). The original map was hand drawn on topographical maps by J.W.C. Goethart en W. J. Jongmans (Van Ooststroom 1956) originally following the Bessel 1841 projection (EPSG:7004). The grid cells are equal in size, although not rounded to kilometers. The size was probably chosen to fit maps that were commercially available at that time.

    References

    Mennema, J., Quene-Boterenbrood, Plate, C. L., Van der Meijden, R., & Weeda, E. J. (1989). Atlas van de Nederlandse flora. Kosmos, Amsterdam.

    van Ooststroom, S.J. (1956). Het I.V.O.N. – Werk. Correspondentieblad ten dienste van de floristiek en het vegetatie-onderzoek van Nederland 1: 2–3.

  18. e

    H3O-De Kempen - Hydrogeology- Altitude map Top Klei van Veldhoven

    • data.europa.eu
    geotiff, kml, wcs +1
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    Databank Ondergrond Vlaanderen (DOV), H3O-De Kempen - Hydrogeology- Altitude map Top Klei van Veldhoven [Dataset]. https://data.europa.eu/data/datasets/edd30e31-5957-45ae-ac99-eb2cea6a0f54?locale=en
    Explore at:
    geotiff, wms, wcs, kmlAvailable download formats
    Dataset authored and provided by
    Databank Ondergrond Vlaanderen (DOV)
    License

    http://data.vlaanderen.be/id/licentie/modellicentie-gratis-hergebruik/v1.0http://data.vlaanderen.be/id/licentie/modellicentie-gratis-hergebruik/v1.0

    Description

    This height map shows the modelled height (mTAW) of the top of the Klei van Veldhoven. 'Hightmap Top Klei van Veldhoven' is a map layer that is part of the dataset 'H3O-De Kempen - Hydrogeology'.

  19. Z

    Data from: Occupations on the map: Using a super learner algorithm to...

    • data.niaid.nih.gov
    Updated Dec 8, 2022
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    Philippe Debie (2022). Occupations on the map: Using a super learner algorithm to downscale labor statistics, data [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_6419272
    Explore at:
    Dataset updated
    Dec 8, 2022
    Dataset provided by
    Michiel van Dijk
    Paul van Leeuwen
    Thijs de Lange
    Philippe Debie
    License

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

    Description

    This repository contains all the input and output data (including maps) related to Van Dijk et al. (2022), Occupations on the map: Using a super learner algorithm to downscale labor statistics. It does not contain several large (> 4GB) intermediate files, which summarize the results of the large number of machine learning models that were trained and tuned as part of the super learner algorithm. These files can be created by running the scripts in the supplementary GitHub repository: https://github.com/michielvandijk/occupations_on_the_map. All input and output maps produced as part of this study can also be accessed by means of an interactive web application: https://shiny.wur.nl/occupation-map-vnm.

    In this paper, we demonstrated an approach to create fine-scale gridded occupation maps by means of downscaling district-level labor statistics informed by remote sensing and other spatial information. We applied a super-learner algorithm that combined the results of different machine learning models to predict the shares of six major occupation categories and the labor force participation rate at a resolution of 30 arc seconds (~1x1 km) in Vietnam. The results were subsequently combined with gridded information on the working-age population to produce maps of the number of workers per occupation. The proposed approach can also be applied to produce maps of other (labor) statistics, which are only available at aggregated levels.

  20. e

    H3O-De Voorkempen - Hydrogeology - Altitude map Basis Schelpenrijke zand van...

    • data.europa.eu
    kml, wcs, wms
    Updated Aug 31, 2023
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    Databank Ondergrond Vlaanderen (DOV) (2023). H3O-De Voorkempen - Hydrogeology - Altitude map Basis Schelpenrijke zand van Sprundel [Dataset]. https://data.europa.eu/88u/dataset/580caf55-894e-4480-b53e-eb58cc12b8e5
    Explore at:
    kml, wms, wcsAvailable download formats
    Dataset updated
    Aug 31, 2023
    Dataset authored and provided by
    Databank Ondergrond Vlaanderen (DOV)
    License

    http://data.vlaanderen.be/id/licentie/modellicentie-gratis-hergebruik/v1.0http://data.vlaanderen.be/id/licentie/modellicentie-gratis-hergebruik/v1.0

    Description

    This raster layer of project H3O - De Voorkempen gives the height of the base (mTAW) of the model unit Shell-rich sand from Sprundel.

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(2025). Property addresses [Dataset]. https://opendata.vancouver.ca/explore/dataset/property-addresses/

Property addresses

Explore at:
excel, json, csv, geojsonAvailable download formats
Dataset updated
Jun 30, 2025
License

https://opendata.vancouver.ca/pages/licence/https://opendata.vancouver.ca/pages/licence/

Description

The property addresses dataset contains addresses used for parcel polygon display. Please note: these addresses are the primary addresses displayed in VanMap and do not represent a complete set of all addresses. Some addresses are duplicated because they appear more than once on VanMap.For other related property datasets, such as property parcel polygons and property cadastral boundaries, you may wish to filter datasets on the property keyword. Data currencyThis data in City systems is updated frequently in the normal course of business, however priorities and resources determine how fast a change in reality is reflected in the database. The extract on this website is updated weekly. Data accuracyMuch of the City's land base is created using survey accuracy however some features are not as precise.

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