OSM is a free, editable map of the world, created and maintained by volunteers. Regular OSM data archives are made available in Amazon S3 in both standard formats (OSM PBF, XML) and cloud-native formats optimized for analytics workloads.

This feature layer provides access to OpenStreetMap (OSM) amenity data for North America, 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.

This feature layer provides access to OpenStreetMap (OSM) buildings data for North 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. Buildings level of 1:2.5k 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.

Data files for the fast reverse geocoder available at https://github.com/kno10/reversegeocode For source code to generate or use the data, see above URL.

Daylight is a complete distribution of global, open map data that’s freely available with support from community and professional mapmakers. Meta combines the work of global contributors to projects like OpenStreetMap with quality and consistency checks from Daylight mapping partners to create a free, stable, and easy-to-use street-scale global map.

The Daylight Map Distribution contains a validated subset of the OpenStreetMap database. In addition to the standard OpenStreetMap PBF format, Daylight is available in two parquet formats that are optimized for AWS Athena including geometries (Points, LineStrings, Polygons, or MultiPolygons). First, Daylight OSM Features contains the nearly 1B renderable OSM features. Second, Daylight OSM Elements contains all of OSM, including all 7B nodes without attributes, and relations that do not contain geometries, such as turn restrictions.

Daylight Earth Table is a new data schema that classifies OpenStreetMap-style tags into a 3-level ontology (theme, class, subclass) and is the result of running the earth table classification over the latest release (v1.18) of the Daylight Map Distribution. The Daylight Earth Table is available as parquet files on Amazon S3.

OpenStreetMap is a project founded in 2004 with the aim of creating a free world map. We collect data on roads, railways, rivers, forests, houses and everything else that is commonly seen on maps from all over the world. Because we collect the data ourselves and do not copy it from existing maps, we also have all the rights to it ourselves. Anyone can use the OpenStreetMap data without a license fee and process it as they wish. This dataset contains the Berlin section of the Planet File. Other formats such as OSM-XML, shapefiles, SVG, Adobe Illustrator, Garmin GPS, GPX, GML, KML, Manifold GIS, raster graphics can be exported at http://wiki.openstreetmap.org/wiki/Export. Questions about the OpenStreetMap data can be discussed here: http://forum.openstreetmap.org/viewforum.php?id=14

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.

This dataset includes OpenStreetMap extracts for places in Nepal. The data is hosted on the Nepal OpenStreetMap Extracts website managed by GeoFabrik and GFDRR.

The placenames.* files include all city/hamlet/neighborhood/village/etc features in the OpenStreetMap database. The cities, hamlets, and neighborhood files include subsets of the placename dataset, for:

• cities.* matches tags: place=city,
• hamlets.* matches tags: place=hamlet,
• neighborhoods.* matches tags: place=neighborhood, place=neighbourhood

The data is updated every 30 minutes.

Other OpenStreetMap extracts

OSM layers / 30 minutes updates from nepal.piensa.co

Hosted on the Nepal OpenStreetMap Extracts website.

Roads

Nepal OpenStreetMap Extracts, Roads dataset on HDX.

OpenStreetMap Daily / 30 minutes updates

Various formats including for small devices (GPS, phones, tablets) on 2015 Nepal Earthquake

See the 2015 Nepal Earthquake OSM wiki page for more information on the Humanitarian OpenStreetMap Team (or HOT) response.

This road network dataset was created from data extracted from OpenStreetMap (OSM) across the geographic area of Australia on 05 August 2020. Its purpose is to represent motor-vehicle traversable public roads within Australia. Note, however, as the original dataset is built by a community of mappers, there is no guarantee of its spatial or attribute accuracy. Use at your own risk. This road network has been topologically corrected for the purposes of network analysis for motor vehicles. For more information about the map features represented in this dataset (including their attributes), refer to the OpenStreetMap Wiki. Please note: The original data for this dataset has been downloaded from Geofabrik on 05 August 2020. AURIN has filtered the original data and omitted features to present the topologically correct, motor-vehicle traversable road network.

This feature layer provides access to OpenStreetMap (OSM) point of interest (POI) data for Asia, which is updated every 1-2 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. The layer includes POIs with a large number of tags, including amenity, shop, tourism, and several more.Zoom in to large scales (e.g. City level or 1:80k scale) to see the POI features display. You can click on the feature to get the name of the POI. The name of the POI 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 POI layer displaying just one or two 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 bar or shop is alcohol), 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 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.

This dataset includes OpenStreetMap extracts for buildings in Ecuador. The data is hosted on the Ecuador OpenStreetMap Extracts website. Additional extracts of OSM for different themes are hosted on the Ecuador OpenStreetMap Extracts website. Also, see the Ecuador OpenStreetMap Extracts, Places dataset on HDX.

The buildings.* files include all building features in the OpenStreetMap database for Ecuador:

• buildings.* matches tags: building=*,

See the 2016 Ecuador Earthquake OSM wiki page for more information on the Humanitarian OpenStreetMap Team (or HOT) response.

The data is updated daily.

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.

This Web Map is a subset of OpenStreetMap Waterways 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) 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.

This feature layer provides access to OpenStreetMap (OSM) landuse areas data for Africa, 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.

weeklyOSM Stats

Statistical files for the weeklyOSM, initially static and considering the numbers WN272 (29/09/2015-05/10/2015) to WN768 (03/04/2025-09/04/2025).

> Disclaimer: these datasets are licensed under the GPL 3.0.

> For more information, please refer to https://www.gnu.org/licenses/gpl-3.0.pt-br.htm.

> How to refer this research:

SOUTO, R.D. weeklyOSM-stats. Available at https://github.com/raqueldeziderio/weeklyOSM-stats. GPL 3.0. https://doi.org/10.5281/zenodo.15263792

> This analysis is under development. To keep contact about this initiative: ivides@ivides.org, a/c: Dr. Raquel Dezidério Souto. Colaborated to this research: Strubbl, derFred and TheFive.

Scope and general objective

The actual weeklyOSM is multilingual and is considering 15 languages. It has the English version as the standard to the AI translation to the other 14 languages, using the Deepl. Initially, it was published in five other languages - Inglês, Espanhol, Turco, Romeno and Japonês, translated from the [Wochennotiz](https://wiki.openstreetmap.org/wiki/Wochennotiz), the German blog, starting in July 2010, http://blog.openstreetmap.de/blog/2010/07/osm-wochennotiz-nr-1/

The objective of this analysis is to prospect the most cited categories and softwares, considering the period from 2015 (WN272) to 2025 (WN768), since the adoption of the OpenStreetMap Blog Collector or OSMBC system, https://github.com/TheFive/osmbc, developed by TheFive.

But... why calculate it?

These statistics can be a proxy for understanding the use of OSM-related software by the OSM mappers community and which categories have received the most attention in various media, such as social networks, blogs, OSMF channels or institutional news sites.

About the files in this dataset

The statistics generated by PGSQL queries. These files are stored also on the folder /statistics on GitHub., where is offered a explanation about the developed methodology for this research.

Note: There is another dataset corresponding to the files with specific selection according to the application type - editors, navigators, QA analysis and others, please, see at Zenodo.org or in the folder /selection on the same GitHub above.

Note: the .csv files has these overall delimiters: comma (,) for records and double quote (") for quote and scape.

This feature layer provides access to OpenStreetMap (OSM) waterways data for North America, 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.

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.

This dataset includes OpenStreetMap extracts for places in Ecuador. The data is hosted on the Ecuador OpenStreetMap Extracts website. Additional extracts of OSM for different themes are hosted on the Ecuador OpenStreetMap Extracts website. Also, see the Ecuador OpenStreetMap Extracts, Roads dataset on HDX.

The placenames.* files include all city/hamlet/neighborhood/village/etc features in the OpenStreetMap database. The cities, hamlets, and neighborhood files include subsets of the placename dataset, for:

• cities.* matches tags: place=city,
• hamlets.* matches tags: place=hamlet,
• neighborhoods.* matches tags: place=neighborhood, place=neighbourhood

See the 2016 Ecuador Earthquake OSM wiki page for more information on the Humanitarian OpenStreetMap Team (or HOT) response.

The data is updated daily.

This dataset was used in the experimental evaluation of the MUSE route planning algorithm. It encompasses the Ile-de-France multimodal network. The dataset contains:

1. The raw osm file of the Ile-de-France region from OpenStreetMap.

2. The raw GTFS data for the public transit network.

3. The multimodal graph based on 5 partitions: 100, 200, 300, 400, and 500 cells.

4. The Nondeterministic Finite Automata (NFA) used during the preprocessing and query stages of MUSE.

5. The graph overlay evaluated during the preprocessing stage of MUSE.

To test MUSE and review the details of this dataset, please visit https://github.com/aminefalek/muse

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.