79 datasets found
  1. OpenStreetMap Public Dataset

    • console.cloud.google.com
    Updated Jan 16, 2020
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    The citation is currently not available for this dataset.
    Explore at:
    Dataset updated
    Jan 16, 2020
    Dataset provided by
    OpenStreetMap//www.openstreetmap.org/
    Googlehttp://google.com/
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    Adapted from Wikipedia: OpenStreetMap (OSM) is a collaborative project to create a free editable map of the world. Created in 2004, it was inspired by the success of Wikipedia and more than two million registered users who can add data by manual survey, GPS devices, aerial photography, and other free sources. We've made available a number of tables (explained in detail below): history_* tables: full history of OSM objects planet_* tables: snapshot of current OSM objects as of Nov 2019 The history_* and planet_* table groups are composed of node, way, relation, and changeset tables. These contain the primary OSM data types and an additional changeset corresponding to OSM edits for convenient access. These objects are encoded using the BigQuery GEOGRAPHY data type so that they can be operated upon with the built-in geography functions to perform geometry and feature selection, additional processing. Example analyses are given below. This dataset is part of a larger effort to make data available in BigQuery through the Google Cloud Public Datasets program . OSM itself is produced as a public good by volunteers, and there are no guarantees about data quality. Interested in learning more about how these data were brought into BigQuery and how you can use them? Check out the sample queries below to get started. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

  2. Z

    Prebuilt Electricity Network for PyPSA-Eur based on OpenStreetMap Data

    • data.niaid.nih.gov
    • zenodo.org
    Updated Feb 21, 2025
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    Fioriti, Davide (2025). Prebuilt Electricity Network for PyPSA-Eur based on OpenStreetMap Data [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_12799201
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    Dataset updated
    Feb 21, 2025
    Dataset provided by
    Brown, Tom
    Neumann, Fabian
    Riepin, Iegor
    Xiong, Bobby
    Fioriti, Davide
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    This dataset contains a topologically connected representation of the European high-voltage grid (220 kV to 750 kV) constructed using OpenStreetMap data. Input data was retrieved using the Overpass turbo API (https://overpass-turbo.eu). A heurisitic cleaning process was used to for lines and links where electrical parameters are incomplete, missing, or ambiguous. Close substations within a radius of 500 m are aggregated to single buses, exact locations of underlying substations is preserved. Unique identifiers for lines and links are preserved, e.g. an AC line/cable with the ID way/83742802-1 can be viewed on OpenStreetMap using the query https://www.openstreetmap.org/way/83742802. A DC line/cable with the ID relation/15781671 can be accessed using the query https://www.openstreetmap.org/relation/15781671

    A detailed explanation on the background, methodology, and validation can be found in the article published in Nature Scientific Data:

    Xiong, B., Fioriti, D., Neumann, F., Riepin, I., Brown, T. Modelling the high-voltage grid using open data for Europe and beyond. Sci Data 12, 277 (2025). https://doi.org/10.1038/s41597-025-04550-7

    Countries included in the dataset:

    Albania (AL), Austria (AT), Belgium (BE), Bosnia and Herzegovina (BA), Bulgaria (BG), Croatia (HR), Czech Republic (CZ), Denmark (DK), Estonia (EE), Finland (FI), France (FR), Germany (DE), Greece (GR), Hungary (HU), Ireland (IE), Italy (IT), Kosovo (XK), Latvia (LV), Lithuania (LT), Luxembourg (LU), Moldova (MD), Montenegro (ME), Netherlands (NL), North Macedonia (MK), Norway (NO), Poland (PL), Portugal (PT), Romania (RO), Serbia (RS), Slovakia (SK), Slovenia (SI), Spain (ES), Sweden (SE), Switzerland (CH), Ukraine (UA), United Kingdom (GB)

    The dataset was constructed as part of the workflow within the open-source, sector-coupling model PyPSA-Eur and will be updated continuously as data and/or the cleaning process improves.

    PyPSA-Eur is an open model dataset of the European power system at the transmission network level that covers the full ENTSO-E area. It can be built using the code provided at https://github.com/PyPSA/PyPSA-eur.

    Not all data dependencies are shipped with the code repository, since git is not suited for handling large changing files. Instead we provide separate data bundles to be downloaded and extracted as noted in the documentation.

    While the code and provided dataset in PyPSA-Eur is released as free software under the MIT, different licenses and terms of use apply to the underlying input data.

    Extract from OpenStreetMap Terms of Use

    OpenStreetMap® is open data, licensed under the Open Data Commons Open Database License (ODbL) by the OpenStreetMap Foundation (OSMF).

    You are free to copy, distribute, transmit and adapt our data, as long as you credit OpenStreetMap and its contributors. If you alter or build upon our data, you may distribute the result only under the same licence. The full legal code explains your rights and responsibilities.

    Our documentation is licensed under the Creative Commons Attribution-ShareAlike 2.0 license (CC BY-SA 2.0).

    This processed dataset is provided under the Open Data Commons Open Database License (ODbL 1.0) license.

    Changelog from version 0.5 to 0.6:

    Added electric parameters to lines (e.g. nominal current, resistance r, reactance x, susceptance b). This allows the dataset to be used outside of PyPSA/PyPSA-Eur.

    Interactive map.html now bundled with the dataset.

    Tags columns include what the element contains (e.g. merged lines contain lines that were aggregated together).

    Changelog from version 0.4 to 0.5:

    Exact locations of original substations and converter stations (interior point/Pole of Inaccessibility) are preserved.

    Clustering resolution improved from 5000 to 500 meters.

    Lines of same electric parameters are merged, if they cross a virtual bus (that is not a real substation).

    Information from OSM relations are used, wherever applicable. To avoid doubling, members (ways) of the relation are dropped in the set of lines, accordingly.

    There are now unique transformers for each voltage level in each station. Transformers now have a nominal capacity, representing the maximum of line capacities connected to either side/bus of the transformer (n-0, nominal capacity).

    Wherever applicable, OSM IDs are preserved and used in the index of the network components.

  3. Countries [ Latitude & Longitude ]

    • kaggle.com
    Updated Apr 17, 2020
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    Francke Peixoto (2020). Countries [ Latitude & Longitude ] [Dataset]. https://www.kaggle.com/franckepeixoto/countries/notebooks
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 17, 2020
    Dataset provided by
    Kaggle
    Authors
    Francke Peixoto
    License

    http://www.gnu.org/licenses/lgpl-3.0.htmlhttp://www.gnu.org/licenses/lgpl-3.0.html

    Description

    OpenStreetMap - The Map API

    https://upload.wikimedia.org/wikipedia/commons/thumb/b/b0/Openstreetmap_logo.svg/100px-Openstreetmap_logo.svg.png" alt="">

    Browsing our map is easy. Have a look around and see what you think of our coverage and detail. Over the years we've progressed quite spectacularly, achieving many mapping milestones. Individuals, governments and commercial companies have already begun putting this data to use, and in many countries, for many uses, OpenStreetMap is a viable alternative to other map providers. However the map isn't finished yet. The world is a big place. How does your neighbourhood look on OSM? There's lots of other ways to start using OpenStreetMap too.

    Development

    Extensive software development work is taking this project in many different directions. As mentioned above, we have created various map editing tools. In fact OpenStreetMap is powered by open-source software from its slippy map interface to the underlying data access API (a web service interface for reading and writing map data). There is opportunity for subprojects that work with or use our data, but we also need help fixing bugs and adding features to our core components.

    Developers and translators are always welcome!

    The OpenStreetMap Foundation

    The OpenStreetMap Foundation is an organization that performs fund-raising. One major expense is acquiring and maintaining the servers that host the OpenStreetMap project. While the foundation supports the project, it does not control the project or "own" the OSM data. The foundation is dedicated to encouraging the growth, development and distribution of free geospatial data and to providing geospatial data for anyone to use and share.

    Inspiration

    I LOVE IT!

  4. a

    Sustrans NCN and OSM NCN Differences

    • hub.arcgis.com
    • data-sustrans-uk.opendata.arcgis.com
    Updated Mar 6, 2024
    + more versions
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    SustransGIS_Public (2024). Sustrans NCN and OSM NCN Differences [Dataset]. https://hub.arcgis.com/datasets/6336de1429c5459a92563464a6820486
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    Dataset updated
    Mar 6, 2024
    Dataset authored and provided by
    SustransGIS_Public
    Area covered
    Description

    This dataset is automatically generated from a GIS process that identifies route alignment differences between the National Cycle Network as drawn in OpenStreetMap (OSM) and the National Cycle Network as drawn by Sustrans. Use this data to spot-check and rectify alignment differences in OSM.The dataset is updated every Sunday morning. OSM data is derived from Overpass Turbo using the following query: [out:json];area[name="United Kingdom"];(rel(area)[network~"rcn"][state!="proposed"][route!="mtb"][!operator]->.a;rel(area)[network~"rcn"][state!="proposed"][route!="mtb"][operator~"sustrans",i]->.b;nwr(area)[network~"ncn"][state!="proposed"][route!="mtb"][!operator]->.c;nwr(area)[network~"ncn"][state!="proposed"][route!="mtb"][operator~"sustrans",i]->.d;nwr(area)[network="ncn"][state!="proposed"][route!="mtb"][cycle_network="UK:National CycleNetwork"]->.e;);(._;>>;);out;If you can think of a better query to extract Sustrans data from OSM, please let us know. Sustrans and OSM NCN are buffered by 100m and three alignment differences are captured where the areas don't overlap:OpenStreetMap aligns with Sustrans 'reclassifed' routeSustrans reclassified this route in 2020 and no longer considers it part of the National Cycle Network.OpenStreetMap does not align with Sustrans NCN routeThis feature is drawn in OpenStreetMap data but not in Sustrans data. Sustrans NCN does not align with OpenStreetMapThis feature is drawn in Sustrans data but not in OpenStreetMap.Use this web application to identify and correct the alignment differences.

  5. OpenStreetMap Settlement Place Names, West Africa

    • cloud.csiss.gmu.edu
    • data.amerigeoss.org
    • +1more
    json, link to csv
    Updated Jun 18, 2019
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    UN Humanitarian Data Exchange (2019). OpenStreetMap Settlement Place Names, West Africa [Dataset]. https://cloud.csiss.gmu.edu/uddi/id/dataset/53c4b579-7e0a-49a2-8bd2-f882d2577d72
    Explore at:
    json, link to csvAvailable download formats
    Dataset updated
    Jun 18, 2019
    Dataset provided by
    United Nationshttp://un.org/
    Area covered
    West Africa, Africa
    Description

    Overpass Service Query to extract from the live OpenStreetMap database the Settlement place names for Guinea, Liberia, Mali and Sierra Leone. OpenStreetMap Ebola Response

    These links launch the Overpass Turbo web application to extract live data. Data is downloaded automatically. Rename the file called "interpreter" for better documentation of the Query content.

    More information

  6. Review of OpenStreetMap research publications from 2016 to 2019

    • zenodo.org
    • data.niaid.nih.gov
    csv
    Updated Jan 28, 2021
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    A. Yair Grinberger; A. Yair Grinberger; Marco Minghini; Marco Minghini; Godwin Yeboah; Godwin Yeboah; Levente Juhász; Levente Juhász; Peter Mooney; Peter Mooney (2021). Review of OpenStreetMap research publications from 2016 to 2019 [Dataset]. http://doi.org/10.5281/zenodo.4474588
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    csvAvailable download formats
    Dataset updated
    Jan 28, 2021
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    A. Yair Grinberger; A. Yair Grinberger; Marco Minghini; Marco Minghini; Godwin Yeboah; Godwin Yeboah; Levente Juhász; Levente Juhász; Peter Mooney; Peter Mooney
    License

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

    Description

    This dataset consists of a review of research publications about the OpenStreetMap (OSM) project published from 2016 to 2019.

    The dataset was obtained as follows. First, papers published between 2016 and 2019 were extracted using Google Scholar with a query identifying all records with at least one of the keywords “OpenStreetMap” and “OSM” in the title. The extracted records were further filtered to only keep papers having a minimum length of 4 pages and published in academic journals or conference proceedings. In addition, irrelevant papers (e.g. using “OSM” as an acronym for another purpose) and non-English papers were removed from the dataset. The remaining paper were then analyzed and manually classified.

    The attributes included in the dataset are the following:

    • id [paper ID]
    • Paper Citation [citation of the paper]
    • Authors’ disciplines — multiplicity: 1-7; allowed values: computer science, informatics, social sciences, geo-information, engineering, exact sciences, interdisciplinary
    • Journal’s discipline — multiplicity: 1; allowed values: computer science, informatics, social sciences, geo-information, engineering, exact sciences, interdisciplinary
    • Topic(s) — multiplicity: 1:10; allowed values: application, data quality, contribution behaviours, analyzing contributions, contributors, shaping contributions, OSM effects, data enrichment, development, review
    • Authors' Geography (countries) — multiplicity: 1:n; allowed values: [list of countries]
    • Authors' Geography (continents) — multiplicity: 1:n; allowed values: [list of continents]
    • Study Area Geography (countries) — multiplicity: 1:n; allowed values: [list of countries], [list of continents], Global, NA
    • Geographic Correspondence— multiplicity: 1; allowed values: no correspondence, partial affiliation/partial location, partial affiliation/full location , full correspondence, NA
    • Perspective on the community — multiplicity: 1; allowed values: OSM as a data source, data produced by contributors, a collaborative project based on contributors, contributors producing data, a unified community, a diverse community, a social product
    • Evidence of engagement — multiplicity: 1-8; allowed values: none, acknowledgement, meaningful development, occasional development, object of study - direct, object of study - indirect, contribution, participation
    • General comments [comments on the paper]
  7. OpenStreetMap Buildings for South America

    • keep-cool-global-community.hub.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Jul 15, 2021
    + more versions
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    OpenStreetMap (2021). OpenStreetMap Buildings for South America [Dataset]. https://keep-cool-global-community.hub.arcgis.com/maps/openstreetmap::openstreetmap-buildings-for-south-america-1
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    Dataset updated
    Jul 15, 2021
    Dataset authored and provided by
    OpenStreetMap//www.openstreetmap.org/
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description

    This feature layer provides access to OpenStreetMap (OSM) buildings data for South America, which is updated every 1 minute with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM polygon (closed way) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes building features defined as a query against the hosted feature layer (i.e. building is not blank).In OSM, a building is a man-made structure with a roof, standing more or less permanently in one place. These features are identified with a building tag. There are thousands of different tag values for building used in the OSM database. In this feature layer, unique symbols are used for several of the most popular building types, while lesser used types are grouped in an "other" category.Zoom in to large scales (e.g. Streets level or 1:10k scale) to see the building features display. You can click on a feature to get the name of the building (if available). The name of the building will display by default at large scales (e.g. Street level of 1:5k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this buildings layer displaying just one or two building types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. building is apartments), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like. Esri may publish a few such layers (e.g. parks) that are ready to use, but not for every type of building.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.

  8. e

    Colleges in Gironde in OpenStreetMap

    • data.europa.eu
    json
    Updated Sep 28, 2017
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    Ressourcerie datalocale (2017). Colleges in Gironde in OpenStreetMap [Dataset]. https://data.europa.eu/data/datasets/59cf1aaab59508043ce9b862
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    jsonAvailable download formats
    Dataset updated
    Sep 28, 2017
    Dataset authored and provided by
    Ressourcerie datalocale
    Description

    The list of colleges referenced in OpenStreetMap using the following overpass request: ‘PRE’ /* This has been generated by the overpass-turbo wizard. The original search was: “School:FR=college in Gironde” *// [out:json][timeout:25]; //fetch Area “Gironde” to search in {{geocodeArea:Gironde}}->.searchArea; //gather Results ( //query part for: “School:FR=college” Node“school:FR”=“college”; way“school:FR”=“college”; ); //print Results out body; ’; out skel qt;

    Automatic update here

  9. c

    OpenStreetMap Waterways for Asia

    • cacgeoportal.com
    • hub.arcgis.com
    Updated May 17, 2021
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    smoore3_osm (2021). OpenStreetMap Waterways for Asia [Dataset]. https://www.cacgeoportal.com/items/3b89b8d6cb2f4183b8a45defc06dc66b
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    Dataset updated
    May 17, 2021
    Dataset authored and provided by
    smoore3_osm
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description

    This feature layer provides access to OpenStreetMap (OSM) waterways data for Asia, which is updated every 15 minutes with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM line (way) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes waterway features defined as a query against the hosted feature layer (i.e. waterway is not blank).In OSM, a waterway describes rivers, streams and ditches with a flow of water from one place to another. These features are identified with a waterway tag. There are hundreds of different tag values for waterway used in the OSM database. In this feature layer, unique symbols are used for several of the most popular waterway types, while lesser used types are grouped in an "other" category.Zoom in to large scales (e.g. City level or 1:80k scale) to see the waterway features display. You can click on a feature to get the name of the waterway (if available). The name of the waterway will display by default at large scales (e.g. Street level of 1:5k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this waterway layer displaying just one or two waterway types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. waterway is dam), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like. Esri may publish a few such layers (e.g. streams and rivers) that are ready to use, but not for every type of waterway.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.

  10. p

    Open Street Map Medical Facilities for Pacific Region

    • pacificgeoportal.com
    • digital-earth-pacificcore.hub.arcgis.com
    • +1more
    Updated Oct 16, 2023
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    Pacific GeoPortal - Core Organization (2023). Open Street Map Medical Facilities for Pacific Region [Dataset]. https://www.pacificgeoportal.com/maps/7c3dbd2121a84667bfb3477e53628084
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    Dataset updated
    Oct 16, 2023
    Dataset authored and provided by
    Pacific GeoPortal - Core Organization
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description

    This web map is a subset of OpenStreetMap (OSM) point data of medical facilities for Australia and Oceania for the Pacific Region, which is updated every 15 minutes with the latest edits. You can access the Source Feature Service from here. This hosted feature layer view is referencing a hosted feature layer of OSM point (node) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes amenity features defined as a query against the hosted feature layer where the amenity value is any of 'hospital', 'clinic', 'doctors', or 'pharmacy'.In OSM, amenities are useful and important facilities for visitors and residents, such as hospitals and clinics. These features are identified with an amenity tag. There are thousands of different tag values used in the OSM database. In this feature layer, unique symbols are used for the most common amenity tags used for medical facilities.Zoom in to large scales (e.g. Neighborhood level or 1:20k scale) to see the amenity features display. You can click on a feature to get the name of the amenity. The name of the amenity will display by default at very large scales (e.g. Building level of 1:2k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this medical facilities layer displaying just one or two amenity types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. amenity is hospital), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like. Esri will publish a few such layers (e.g. Places of Worship, Schools, and Parking) that are ready to use, but not for every type of amenity.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.

  11. a

    OpenStreetMap Highways for Africa

    • africageoportal.com
    • angola.africageoportal.com
    • +6more
    Updated May 18, 2021
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    smoore2_osm (2021). OpenStreetMap Highways for Africa [Dataset]. https://www.africageoportal.com/datasets/6d78851a40f54041a775d7c6f4b2633e
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    Dataset updated
    May 18, 2021
    Dataset authored and provided by
    smoore2_osm
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description

    This feature layer provides access to OpenStreetMap (OSM) highways data for Africa, which is updated every 5 minutes with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM line (way) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes highway features defined as a query against the hosted feature layer (i.e. highway is not blank).In OSM, a highway describes any kind of motorway, road, street or path. These features are identified with a highway tag. There are hundreds of different tag values for highway used in the OSM database. In this feature layer, unique symbols are used for several of the most popular highway types, while lesser used types are grouped in an "other" category.Zoom in to large scales (e.g. Streets level or 1:20k scale) to see the highway features display. You can click on a feature to get the name of the highway (if available). The name of the highway will display by default at large scales (e.g. Street level of 1:5k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this highway layer displaying just one or two highway types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. highway is path), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like. Esri may publish a few such layers (e.g. cycleway and pedestrian) that are ready to use, but not for every type of highway.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.

  12. p

    OpenStreetMap Amenities for Pacific Region

    • pacificgeoportal.com
    • digital-earth-pacificcore.hub.arcgis.com
    • +2more
    Updated Oct 6, 2023
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    Pacific GeoPortal - Core Organization (2023). OpenStreetMap Amenities for Pacific Region [Dataset]. https://www.pacificgeoportal.com/maps/c4d8d18083254ddc8a2e7d3cf6d056c9
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    Dataset updated
    Oct 6, 2023
    Dataset authored and provided by
    Pacific GeoPortal - Core Organization
    Area covered
    Description

    This WebMap is a subset of OpenStreetMap Amenities for Australia and Oceania Feature Service for Pacific Regions. This feature layer provides access to OpenStreetMap (OSM) amenity data for Australia and Oceania, which is updated every 5 minutes with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM point (node) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes amenity features defined as a query against the hosted feature layer (i.e. amenity is not blank).In OSM, amenities are useful and important facilities for visitors and residents, such as places of worship, restaurants, banks, and schools. These features are identified with an amenity tag. There are thousands of different tag values used in the OSM database. In this feature layer, unique symbols are used for several of the most popular amenity types, while lesser used types are grouped in an "other" category.Zoom in to large scales (e.g. City level or 1:80k scale) to see the amenity features display. You can click on a feature to get the name of the amenity. The name of the amenity will display by default at very large scales (e.g. Building level of 1:2k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this amenity layer displaying just one or two amenity types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. amenity is fire station), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like. Esri will publish a few such layers (e.g. Schools, Medical Facilities, and Places of Worship) that are ready to use, but not for every type of amenity.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.

  13. c

    OpenStreetMap Leisure Areas for Central Asia and Caucasus Region

    • cacgeoportal.com
    • hub.arcgis.com
    Updated May 17, 2024
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    Central Asia and the Caucasus GeoPortal (2024). OpenStreetMap Leisure Areas for Central Asia and Caucasus Region [Dataset]. https://www.cacgeoportal.com/datasets/openstreetmap-leisure-areas-for-central-asia-and-caucasus-region
    Explore at:
    Dataset updated
    May 17, 2024
    Dataset authored and provided by
    Central Asia and the Caucasus GeoPortal
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description

    This Web Map is a subset of OpenStreetMap Leisure Areas for Asia Feature Layer to focus on Central Asia and Caucasus Region. If you would like to access the data please use the feature layer that provides access to OpenStreetMap. This feature layer provides access to OpenStreetMap (OSM) leisure areas data for Asia, which is updated every 15 minutes with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM polygon (closed way) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes leisure features defined as a query against the hosted feature layer (i.e. leisure is not blank).In OSM, a leisure area is a place where people go in their spare time. These features are identified with a leisure tag. There are thousands of different tag values for leisure used in the OSM database. In this feature layer, unique symbols are used for several of the most popular leisure types, while lesser used types are grouped in an "other" category.Zoom in to large scales (e.g. City level or 1:80k scale) to see the leisure area features display. You can click on a feature to get the name of the leisure area (if available). The name of the leisure area will display by default at large scales (e.g. Street level of 1:5k scale). Labels can be turned off in your map if you prefer.

  14. a

    OpenStreetMap - Highways

    • hub.arcgis.com
    • up-state-observatory-esriindia1.hub.arcgis.com
    • +1more
    Updated Nov 3, 2021
    + more versions
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    GIS Online (2021). OpenStreetMap - Highways [Dataset]. https://hub.arcgis.com/maps/esriindia1::openstreetmap-highways-1
    Explore at:
    Dataset updated
    Nov 3, 2021
    Dataset authored and provided by
    GIS Online
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description

    This feature layer provides access to OpenStreetMap (OSM) highways data for India, which is updated every 5 minutes with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM line (way) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes highway features defined as a query against the hosted feature layer (i.e. highway is not blank).In OSM, a highway describes any kind of motorway, road, street or path. These features are identified with a highway tag. There are hundreds of different tag values for highway used in the OSM database. In this feature layer, unique symbols are used for several of the most popular highway types, while lesser used types are grouped in an "other" category.Zoom in to large scales (e.g. Streets level or 1:20k scale) to see the highway features display. You can click on a feature to get the name of the highway (if available). The name of the highway will display by default at large scales (e.g. Street level of 1:5k scale). Labels can be turned off in your map if you prefer.

  15. OpenStreetMap Buildings for Central America

    • prep-response-portal.napsgfoundation.org
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Jan 1, 2021
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    OpenStreetMap (2021). OpenStreetMap Buildings for Central America [Dataset]. https://prep-response-portal.napsgfoundation.org/datasets/openstreetmap::openstreetmap-buildings-for-central-america-1
    Explore at:
    Dataset updated
    Jan 1, 2021
    Dataset authored and provided by
    OpenStreetMap//www.openstreetmap.org/
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description

    This feature layer provides access to OpenStreetMap (OSM) buildings data for Central America and Caribbean, which is updated every 1 minute with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM polygon (closed way) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes building features defined as a query against the hosted feature layer (i.e. building is not blank).In OSM, a building is a man-made structure with a roof, standing more or less permanently in one place. These features are identified with a building tag. There are thousands of different tag values for building used in the OSM database. In this feature layer, unique symbols are used for several of the most popular building types, while lesser used types are grouped in an "other" category.Zoom in to large scales (e.g. Streets level or 1:10k scale) to see the building features display. You can click on a feature to get the name of the building (if available). The name of the building will display by default at large scales (e.g. Street level of 1:5k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this buildings layer displaying just one or two building types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. building is apartments), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like. Esri may publish a few such layers (e.g. parks) that are ready to use, but not for every type of building.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.

  16. c

    OpenStreetMap Landuse Areas for Asia

    • cacgeoportal.com
    • gis-for-secondary-schools-schools-be.hub.arcgis.com
    • +1more
    Updated Aug 19, 2021
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    smoore3_osm (2021). OpenStreetMap Landuse Areas for Asia [Dataset]. https://www.cacgeoportal.com/items/69ff44dc0a9f4ac49079f8cc4510a411
    Explore at:
    Dataset updated
    Aug 19, 2021
    Dataset authored and provided by
    smoore3_osm
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description

    This feature layer provides access to OpenStreetMap (OSM) landuse areas data for Asia, which is updated every 15 minutes with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM polygon (closed way) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes landuse features defined as a query against the hosted feature layer (i.e. landuse is not blank).In OSM, landuse describes the primary use of land by humans. These features are identified with a landuse tag. There are thousands of different tag values for landuse used in the OSM database. In this feature layer, unique symbols are used for several of the most popular landuse types, while lesser used types are grouped in an "other" category.Zoom in to large scales (e.g. City level or 1:80k scale) to see the landuse area features display. You can click on a feature to get the name of the landuse area (if available). The name of the landuse area will display by default at large scales (e.g. Street level of 1:5k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this landuse areas layer displaying just one or two landuse types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. landuse is commercial), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like. Esri may publish a few such layers (e.g. residential, forest) that are ready to use, but not for every type of landuse area.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.

  17. c

    OpenStreetMap Amenities for Asia

    • cacgeoportal.com
    Updated May 20, 2021
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    smoore3_osm (2021). OpenStreetMap Amenities for Asia [Dataset]. https://www.cacgeoportal.com/items/6ca5c7e7d3ab42b59c3b0796b81b8805
    Explore at:
    Dataset updated
    May 20, 2021
    Dataset authored and provided by
    smoore3_osm
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description

    This feature layer provides access to OpenStreetMap (OSM) amenity data for Asia, which is updated every 5 minutes with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM point (node) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes amenity features defined as a query against the hosted feature layer (i.e. amenity is not blank).In OSM, amenities are useful and important facilities for visitors and residents, such as places of worship, restaurants, banks, and schools. These features are identified with an amenity tag. There are thousands of different tag values used in the OSM database. In this feature layer, unique symbols are used for several of the most popular amenity types, while lesser used types are grouped in an "other" category.Zoom in to large scales (e.g. City level or 1:80k scale) to see the amenity features display. You can click on a feature to get the name of the amenity. The name of the amenity will display by default at very large scales (e.g. Building level of 1:2k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this amenity layer displaying just one or two amenity types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. amenity is fire station), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like. Esri will publish a few such layers (e.g. Schools, Medical Facilities, and Places of Worship) that are ready to use, but not for every type of amenity.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.

  18. c

    OpenStreetMap Highways for Asia

    • cacgeoportal.com
    • onemap-training-sdi.hub.arcgis.com
    Updated May 18, 2021
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    smoore3_osm (2021). OpenStreetMap Highways for Asia [Dataset]. https://www.cacgeoportal.com/items/a9f8d83a69fc4f2c92e5f83f87df6aaf
    Explore at:
    Dataset updated
    May 18, 2021
    Dataset authored and provided by
    smoore3_osm
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description

    This feature layer provides access to OpenStreetMap (OSM) highways data for Asia, which is updated every 5 minutes with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM line (way) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes highway features defined as a query against the hosted feature layer (i.e. highway is not blank).In OSM, a highway describes any kind of motorway, road, street or path. These features are identified with a highway tag. There are hundreds of different tag values for highway used in the OSM database. In this feature layer, unique symbols are used for several of the most popular highway types, while lesser used types are grouped in an "other" category.Zoom in to large scales (e.g. Streets level or 1:20k scale) to see the highway features display. You can click on a feature to get the name of the highway (if available). The name of the highway will display by default at large scales (e.g. Street level of 1:5k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this highway layer displaying just one or two highway types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. highway is path), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like. Esri may publish a few such layers (e.g. cycleway and pedestrian) that are ready to use, but not for every type of highway.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.

  19. a

    OpenStreetMap Amenities for Africa

    • rwanda.africageoportal.com
    • republiqueducongo.africageoportal.com
    • +8more
    Updated May 17, 2021
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    smoore2_osm (2021). OpenStreetMap Amenities for Africa [Dataset]. https://rwanda.africageoportal.com/datasets/f5ffdff732c34885bcac4c5a87ae78e0
    Explore at:
    Dataset updated
    May 17, 2021
    Dataset authored and provided by
    smoore2_osm
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description

    This feature layer provides access to OpenStreetMap (OSM) amenity data for Africa, which is updated every 5 minutes with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM point (node) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes amenity features defined as a query against the hosted feature layer (i.e. amenity is not blank).In OSM, amenities are useful and important facilities for visitors and residents, such as places of worship, restaurants, banks, and schools. These features are identified with an amenity tag. There are thousands of different tag values used in the OSM database. In this feature layer, unique symbols are used for several of the most popular amenity types, while lesser used types are grouped in an "other" category.Zoom in to large scales (e.g. City level or 1:80k scale) to see the amenity features display. You can click on a feature to get the name of the amenity. The name of the amenity will display by default at very large scales (e.g. Building level of 1:2k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this amenity layer displaying just one or two amenity types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. amenity is fire station), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like. Esri will publish a few such layers (e.g. Schools, Medical Facilities, and Places of Worship) that are ready to use, but not for every type of amenity.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.

  20. a

    OpenStreetMap Medical Facilities for Asia

    • hub.arcgis.com
    • cacgeoportal.com
    Updated Aug 19, 2021
    + more versions
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    smoore3_osm (2021). OpenStreetMap Medical Facilities for Asia [Dataset]. https://hub.arcgis.com/datasets/72cd0b2fc84245b195a027c6b57b370c
    Explore at:
    Dataset updated
    Aug 19, 2021
    Dataset authored and provided by
    smoore3_osm
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description

    This feature layer provides access to OpenStreetMap (OSM) polygon data of medical facilities for Asia, which is updated every 15 minutes with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM polygon (way) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes amenity and building features defined as a query against the hosted feature layer where amenity or building value is any of 'hospital', 'clinic', 'doctors', or 'pharmacy'.In OSM, amenities are useful and important facilities for visitors and residents, such as hospitals and clinics. These features are identified with an amenity tag. In OSM, a building is a man-made structure with a roof, standing more or less permanently in one place. These features are identified with a building tag. There are thousands of different tag values used in the OSM database. In this feature layer, unique symbols are used for the most common amenity and building tags used for medical facilities.Zoom in to large scales (e.g. City level or 1:160k scale) to see the amenity features display. You can click on a feature to get the name of the feature. The name of the feature will display by default at very large scales (e.g. Building level of 1:2k scale). Labels can be turned off in your map if you prefer.

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Organization logoOrganization logo

OpenStreetMap Public Dataset

Explore at:
Dataset updated
Jan 16, 2020
Dataset provided by
OpenStreetMap//www.openstreetmap.org/
Googlehttp://google.com/
License

Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically

Description

Adapted from Wikipedia: OpenStreetMap (OSM) is a collaborative project to create a free editable map of the world. Created in 2004, it was inspired by the success of Wikipedia and more than two million registered users who can add data by manual survey, GPS devices, aerial photography, and other free sources. We've made available a number of tables (explained in detail below): history_* tables: full history of OSM objects planet_* tables: snapshot of current OSM objects as of Nov 2019 The history_* and planet_* table groups are composed of node, way, relation, and changeset tables. These contain the primary OSM data types and an additional changeset corresponding to OSM edits for convenient access. These objects are encoded using the BigQuery GEOGRAPHY data type so that they can be operated upon with the built-in geography functions to perform geometry and feature selection, additional processing. Example analyses are given below. This dataset is part of a larger effort to make data available in BigQuery through the Google Cloud Public Datasets program . OSM itself is produced as a public good by volunteers, and there are no guarantees about data quality. Interested in learning more about how these data were brought into BigQuery and how you can use them? Check out the sample queries below to get started. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

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