100+ datasets found
  1. Overwrite Hosted Feature Services, v2.1.4

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Apr 16, 2019
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    Esri (2019). Overwrite Hosted Feature Services, v2.1.4 [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/content/d45f80eb53c748e7aa3d938a46b48836
    Explore at:
    Dataset updated
    Apr 16, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    Description

    Want to keep the data in your Hosted Feature Service current? Not interested in writing a lot of code?Leverage this Python Script from the command line, Windows Scheduled Task, or from within your own code to automate the replacement of data in an existing Hosted Feature Service. It can also be leveraged by your Notebook environment and automatically managed by the MNCD Tool!See the Sampler Notebook that features the OverwriteFS tool run from Online to update a Feature Service. It leverages MNCD to cache the OverwriteFS script for import to the Notebook. A great way to jump start your Feature Service update workflow! RequirementsPython v3.xArcGIS Python APIStored Connection Profile, defined by Python API 'GIS' module. Also accepts 'pro', to specify using the active ArcGIS Pro connection. Will require ArcGIS Pro and Arcpy!Pre-Existing Hosted Feature ServiceCapabilitiesOverwrite a Feature Service, refreshing the Service Item and DataBackup and reapply Service, Layer, and Item properties - New at v2.0.0Manage Service to Service or Service to Data relationships - New at v2.0.0Repair Lost Service File Item to Service Relationships, re-enabling Service Overwrite - New at v2.0.0'Swap Layer' capability for Views, allowing two Services to support a View, acting as Active and Idle role during Updates - New at v2.0.0Data Conversion capability, able to invoke following a download and before Service update - New at v2.0.0Includes 'Rss2Json' Conversion routine, able to read a RSS or GeoRSS source and generate GeoJson for Service Update - New at v2.0.0Renamed 'Rss2Json' to 'Xml2GeoJSON' for its enhanced capabilities, 'Rss2Json' remains for compatability - Revised at v2.1.0Added 'Json2GeoJSON' Conversion routine, able to read and manipulate Json or GeoJSON data for Service Updates - New at v2.1.0Can update other File item types like PDF, Word, Excel, and so on - New at v2.1.0Supports ArcGIS Python API v2.0 - New at v2.1.2RevisionsSep 29, 2021: Long awaited update to v2.0.0!Sep 30, 2021: v2.0.1, Patch to correct Outcome Status when download or Coversion resulted in no change. Also updated documentation.Oct 7, 2021: v2.0.2, workflow Patch correcting Extent update of Views when Overwriting Service, discovered following recent ArcGIS Online update. Enhancements to 'datetimeUtil' Support script.Nov 30, 2021: v2.1.0, added new 'Json2GeoJSON' Converter, enhanced 'Xml2GeoJSON' Converter, retired 'Rss2Json' Converter, added new Option Switches 'IgnoreAge' and 'UpdateTarget' for source age control and QA/QC workflows, revised Optimization logic and CRC comparison on downloads.Dec 1, 2021: v2.1.1, Only a patch to Conversion routines: Corrected handling of null Z-values in Geometries (discovered immediately following release 2.1.0), improve error trapping while processing rows, and added deprecation message to retired 'Rss2Json' conversion routine.Feb 22, 2022: v2.1.2, Patch to detect and re-apply case-insensitive field indexes. Update to allow Swapping Layers to Service without an associated file item. Added cache refresh following updates. Patch to support Python API 2.0 service 'table' property. Patches to 'Json2GeoJSON' and 'Xml2GeoJSON' converter routines.Sep 5, 2024: v2.1.4, Patch service manager refresh failure issue. Added trace report to Convert execution on exception. Set 'ignore-DataItemCheck' property to True when 'GetTarget' action initiated. Hardened Async job status check. Update 'overwriteFeatureService' to support GeoPackage type and file item type when item.name includes a period, updated retry loop to try one final overwrite after del, fixed error stop issue on failed overwrite attempts. Removed restriction on uploading files larger than 2GB. Restores missing 'itemInfo' file on service File items. Corrected false swap success when view has no layers. Lifted restriction of Overwrite/Swap Layers for OGC. Added 'serviceDescription' to service detail backup. Added 'thumbnail' to item backup/restore logic. Added 'byLayerOrder' parameter to 'swapFeatureViewLayers'. Added 'SwapByOrder' action switch. Patch added to overwriteFeatureService 'status' check. Patch for June 2024 update made to 'managers.overwrite' API script that blocks uploads > 25MB, API v2.3.0.3. Patch 'overwriteFeatureService' to correctly identify overwrite file if service has multiple Service2Data relationships.Includes documentation updates!

  2. d

    Ministry of Land, Infrastructure and Transport_GIS Building Integrated...

    • data.go.kr
    json+xml
    Updated Jul 1, 2025
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    (2025). Ministry of Land, Infrastructure and Transport_GIS Building Integrated Information (WMS/WFS) [Dataset]. https://www.data.go.kr/en/data/15123970/openapi.do
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    json+xmlAvailable download formats
    Dataset updated
    Jul 1, 2025
    License

    https://data.go.kr/ugs/selectPortalPolicyView.dohttps://data.go.kr/ugs/selectPortalPolicyView.do

    Description

    Based on continuous geographic information, building spatial information and building register attribute information of the architectural administration system (Seumteo) are integrated into a building unit, and when called with RestAPI, spatial information data such as building integrated information based on space (land) are returned in json/xml format.

  3. a

    Print Template CP

    • hub.arcgis.com
    Updated Jun 13, 2019
    + more versions
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    bderting1 (2019). Print Template CP [Dataset]. https://hub.arcgis.com/content/18fddfe6e29e4b13b288c1a9a1eb806a
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    Dataset updated
    Jun 13, 2019
    Dataset authored and provided by
    bderting1
    Area covered
    Description

    This tool takes the state of a web application (for example, included services, layer visibility settings, and client-side graphics) and returns a printable page layout or basic map of the specified area of interest., The input for Export Web Map is a piece of text in JavaScript object notation (JSON) format describing the layers, graphics, and other settings in the web map. The JSON must be structured according to the ExportWebMap specification in the ArcGIS Help., This tool is shipped with ArcGIS Server to support web services for printing, including the preconfigured service named PrintingTools. The ArcGIS web APIs for JavaScript, Flex and Silverlight use the PrintingTools service to generate images for simple map printing.

  4. D

    Detroit Street View Panoramic Imagery

    • detroitdata.org
    • data.detroitmi.gov
    • +1more
    Updated Mar 24, 2025
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    City of Detroit (2025). Detroit Street View Panoramic Imagery [Dataset]. https://detroitdata.org/dataset/detroit-street-view-panoramic-imagery
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    html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Mar 24, 2025
    Dataset provided by
    City of Detroit
    Area covered
    Detroit
    Description
    Detroit Street View (DSV) is an urban remote sensing program run by the Enterprise Geographic Information Systems (EGIS) Team within the Department of Innovation and Technology at the City of Detroit. The mission of Detroit Street View is ‘To continuously observe and document Detroit’s changing physical environment through remote sensing, resulting in freely available foundational data that empowers effective city operations, informed decision making, awareness, and innovation.’ 360° panoramic imagery (as well as LiDAR) is collected using a vehicle-mounted mobile mapping system.

    The City of Detroit distributes 360° panoramic street view imagery from the Detroit Street View program via Mapillary.com. Within Mapillary, users can search address, pan/zoom around the map, and load images by clicking on image points. Mapillary also provides several tools for accessing and analyzing information including:
    Please see Mapillary API documentation for more information about programmatic access and specific data components within Mapillary.
    DSV Logo
  5. Geographical and geological GIS boundaries of the Tibetan Plateau and...

    • zenodo.org
    • data.niaid.nih.gov
    Updated Apr 12, 2022
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    Jie Liu; Jie Liu; Guang-Fu Zhu; Guang-Fu Zhu (2022). Geographical and geological GIS boundaries of the Tibetan Plateau and adjacent mountain regions [Dataset]. http://doi.org/10.5281/zenodo.6432940
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    Dataset updated
    Apr 12, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Jie Liu; Jie Liu; Guang-Fu Zhu; Guang-Fu Zhu
    License

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

    Area covered
    Tibetan Plateau
    Description

    Introduction

    Geographical scale, in terms of spatial extent, provide a basis for other branches of science. This dataset contains newly proposed geographical and geological GIS boundaries for the Pan-Tibetan Highlands (new proposed name for the High Mountain Asia), based on geological and geomorphological features. This region comprises the Tibetan Plateau and three adjacent mountain regions: the Himalaya, Hengduan Mountains and Mountains of Central Asia, and boundaries are also given for each subregion individually. The dataset will benefit quantitative spatial analysis by providing a well-defined geographical scale for other branches of research, aiding cross-disciplinary comparisons and synthesis, as well as reproducibility of research results.

    The dataset comprises three subsets, and we provide three data formats (.shp, .geojson and .kmz) for each of them. Shapefile format (.shp) was generated in ArcGIS Pro, and the other two were converted from shapefile, the conversion steps refer to 'Data processing' section below. The following is a description of the three subsets:

    (1) The GIS boundaries we newly defined of the Pan-Tibetan Highlands and its four constituent sub-regions, i.e. the Tibetan Plateau, Himalaya, Hengduan Mountains and the Mountains of Central Asia. All files are placed in the "Pan-Tibetan Highlands (Liu et al._2022)" folder.

    (2) We also provide GIS boundaries that were applied by other studies (cited in Fig. 3 of our work) in the folder "Tibetan Plateau and adjacent mountains (Others’ definitions)". If these data is used, please cite the relevent paper accrodingly. In addition, it is worthy to note that the GIS boundaries of Hengduan Mountains (Li et al. 1987a) and Mountains of Central Asia (Foggin et al. 2021) were newly generated in our study using Georeferencing toolbox in ArcGIS Pro.

    (3) Geological assemblages and characters of the Pan-Tibetan Highlands, including Cratons and micro-continental blocks (Fig. S1), plus sutures, faults and thrusts (Fig. 4), are placed in the "Pan-Tibetan Highlands (geological files)" folder.

    Note: High Mountain Asia: The name ‘High Mountain Asia’ is the only direct synonym of Pan-Tibetan Highlands, but this term is both grammatically awkward and somewhat misleading, and hence the term ‘Pan-Tibetan Highlands’ is here proposed to replace it. Third Pole: The first use of the term ‘Third Pole’ was in reference to the Himalaya by Kurz & Montandon (1933), but the usage was subsequently broadened to the Tibetan Plateau or the whole of the Pan-Tibetan Highlands. The mainstream scientific literature refer the ‘Third Pole’ to the region encompassing the Tibetan Plateau, Himalaya, Hengduan Mountains, Karakoram, Hindu Kush and Pamir. This definition was surpported by geological strcture (Main Pamir Thrust) in the western part, and generally overlaps with the ‘Tibetan Plateau’ sensu lato defined by some previous studies, but is more specific.

    More discussion and reference about names please refer to the paper. The figures (Figs. 3, 4, S1) mentioned above were attached in the end of this document.

    Data processing

    We provide three data formats. Conversion of shapefile data to kmz format was done in ArcGIS Pro. We used the Layer to KML tool in Conversion Toolbox to convert the shapefile to kmz format. Conversion of shapefile data to geojson format was done in R. We read the data using the shapefile function of the raster package, and wrote it as a geojson file using the geojson_write function in the geojsonio package.

    Version

    Version 2022.1.

    Acknowledgements

    This study was supported by the Strategic Priority Research Program of Chinese Academy of Sciences (XDB31010000), the National Natural Science Foundation of China (41971071), the Key Research Program of Frontier Sciences, CAS (ZDBS-LY-7001). We are grateful to our coauthors insightful discussion and comments. We also want to thank professors Jed Kaplan, Yin An, Dai Erfu, Zhang Guoqing, Peter Cawood, Tobias Bolch and Marc Foggin for suggestions and providing GIS files.

    Citation

    Liu, J., Milne, R. I., Zhu, G. F., Spicer, R. A., Wambulwa, M. C., Wu, Z. Y., Li, D. Z. (2022). Name and scale matters: Clarifying the geography of Tibetan Plateau and adjacent mountain regions. Global and Planetary Change, In revision

    Jie Liu & Guangfu Zhu. (2022). Geographical and geological GIS boundaries of the Tibetan Plateau and adjacent mountain regions (Version 2022.1). https://doi.org/10.5281/zenodo.6432940

    Contacts

    Dr. Jie LIU: E-mail: liujie@mail.kib.ac.cn;

    Mr. Guangfu ZHU: zhuguangfu@mail.kib.ac.cn

    Institution: Kunming Institute of Botany, Chinese Academy of Sciences

    Address: 132# Lanhei Road, Heilongtan, Kunming 650201, Yunnan, China

    Copyright

    This dataset is available under the Attribution-ShareAlike 4.0 International (CC BY-SA 4.0).

  6. World Topographic Map (with Contours and Hillshade)

    • hub.arcgis.com
    Updated Jul 6, 2020
    + more versions
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    Esri (2020). World Topographic Map (with Contours and Hillshade) [Dataset]. https://hub.arcgis.com/maps/18d32a699af64bfba4e78eba5a4dd705
    Explore at:
    Dataset updated
    Jul 6, 2020
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This vector tile layer presents the World Topographic Map (with Contours and Hillshade) style (World Edition) and provides a basemap for the world, symbolized with a classic Esri topographic map style, including both vector contour lines and vector hillshade. This layer includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries. This vector tile layer provides unique capabilities for customization and high-resolution display.This is a multisource vector map style. The root.json style file calls three vector tile services to display all the data in the map. The "esri" source contains all the basemap tiles for this layer. The other two sources are "contours" and "hillshade". Click the View style button on right to see the json. The multisource section of this code is shown below."sources": { "esri": { "type": "vector", "url": "https://basemaps.arcgis.com/arcgis/rest/services/World_Basemap_v2/VectorTileServer" }, "contours": { "type": "vector", "url": "https://basemaps.arcgis.com/arcgis/rest/services/World_Contours_v2/VectorTileServer" }, "hillshade": { "type": "vector", "url": "https://basemaps.arcgis.com/arcgis/rest/services/World_Hillshade_v2/VectorTileServer" } },This vector tile layer is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.This layer is used in the Topographic (Vector) web map included in ArcGIS Living Atlas of the World.See the Vector Basemaps group for other vector tile layers. Customize this StyleLearn more about customizing this vector basemap style using the Vector Tile Style Editor. Additional details are available in ArcGIS Online Blogs and the Esri Vector Basemaps Reference Document.

  7. Hong Kong Market Town boundary for Rural Representative Election of Tai Po...

    • opendata.esrichina.hk
    • livingatlas-dcdev.opendata.arcgis.com
    • +1more
    Updated Jul 5, 2021
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    Esri China (Hong Kong) Ltd. (2021). Hong Kong Market Town boundary for Rural Representative Election of Tai Po Rural Committee [Dataset]. https://opendata.esrichina.hk/datasets/hong-kong-market-town-boundary-for-rural-representative-election-of-tai-po-rural-committee
    Explore at:
    Dataset updated
    Jul 5, 2021
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri China (Hong Kong) Ltd.
    Area covered
    Description

    This layer shows the Hong Kong Market Town boundary for Rural Representative Election of Tai Po Rural Committee. It is a subset of the data made available by the Home Affairs Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://DATA.GOV.HK/ (“DATA.GOV.HK”). The source data is in JSON format and has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of DATA.GOV.HK at https://data.gov.hk.

  8. h

    Cricket Ground (Artificial Turf Pitch) in Hong Kong

    • datastudio-geo.hkstp.org
    • opendata.esrichina.hk
    • +3more
    Updated Aug 17, 2020
    + more versions
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    HKSTP (2020). Cricket Ground (Artificial Turf Pitch) in Hong Kong [Dataset]. https://datastudio-geo.hkstp.org/items/39aa407205964a33b2ecdd724c72d37e
    Explore at:
    Dataset updated
    Aug 17, 2020
    Dataset authored and provided by
    HKSTP
    Area covered
    Description

    This layer shows the location of Cricket Ground (Artificial Turf Pitch) in Hong Kong. It is a subset of the geo-referenced public facility data made available by the Leisure and Cultural Services Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://DATA.GOV.HK/ (“DATA.GOV.HK”). The source data is in JSON format and has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of DATA.GOV.HK at https://data.gov.hk.

  9. Road Safety Towns in Hong Kong

    • opendata.esrichina.hk
    • hub.arcgis.com
    Updated Jul 16, 2018
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    Esri China (Hong Kong) Ltd. (2018). Road Safety Towns in Hong Kong [Dataset]. https://opendata.esrichina.hk/maps/ee3a97784f694cd4b0e81f3f31cf7739
    Explore at:
    Dataset updated
    Jul 16, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri China (Hong Kong) Ltd.
    Area covered
    Description

    This web map shows the location of Road Safety Towns in Hong Kong. It is a subset of the geo-referenced public facility data made available by the Leisure and Cultural Services Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://DATA.GOV.HK/ (“DATA.GOV.HK”). The source data is in JSON format and has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of DATA.GOV.HK at https://data.gov.hk.

  10. e

    Historic Traffic Data at Signalised Intersections - ArcGIS Online Item Page

    • esriaustraliahub.com.au
    Updated Apr 9, 2025
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    Main Roads Western Australia (2025). Historic Traffic Data at Signalised Intersections - ArcGIS Online Item Page [Dataset]. https://www.esriaustraliahub.com.au/documents/1162b9a95c85436abc23ad2c63f8e4d2
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    Dataset updated
    Apr 9, 2025
    Dataset authored and provided by
    Main Roads Western Australiahttp://www.mainroads.wa.gov.au/
    License

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

    Description

    Monthly extracts of historic Traffic Data at Signalised derived by SCATS.

    SCATS (Sydney Coordinated Adaptive Traffic System) is an intelligent transportation system that manages the dynamic timing of signal phases at traffic signals in real time. The system estimates the number of vehicles passing through the intersection and other information related to traffic signal timing. There is no guarantee this data is accurate or was used to make internal decisions in SCATS.

    The data is provided by controller site. Each site has its own parquet file for the month, which contains SCATS data produced by that site. The files use the LM site number format (e.g. – Site 1 is LM00001).

    Note that you are accessing the data provided by the links below pursuant to a Creative Commons (Attribution) Licence which has a disclaimer of warranties and limitation of liability. You accept that the data provided pursuant to the Licence is subject to changes and may have errors.

    Pursuant to section 3 of the Licence you are provided with the following notice to be included when you Share the Licenced Material:- “The Commissioner of Main Roads is the creator and owner of the data and Licenced Material, which is accessed pursuant to a Creative Commons (Attribution) Licence, which has a disclaimer of warranties and limitation of liability.”

    A data dictionary is provided at the document link.

    Monthly data extracts are in parquet format.

    The locations of the traffic signals are found at the link below.

    https://portal-mainroads.opendata.arcgis.com/datasets/traffic-signal-sitesAvailable in JSON format below.gisservices.mainroads.wa.gov.au/arcgis/rest/services/Connect/MapServer/0/query?where=1%3D1&outFields=*&returnGeometry=true&f=pjson

    The mapping of the detectors to the strategic approaches at an intersection is given at the link below.

    https://mainroadsopendata.mainroads.wa.gov.au/swagger/ui/index#/LmSaDetector

    Further information, including SCATS graphics, is available via the Traffic Signal information on Main Roads TrafficMap

    trafficmap - Main Roads WA

  11. c

    Amtrak Train Current Locations

    • geodata.colorado.gov
    • hub.arcgis.com
    Updated Dec 4, 2024
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    State of Colorado (2024). Amtrak Train Current Locations [Dataset]. https://geodata.colorado.gov/datasets/amtrak-train-current-locations
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    Dataset updated
    Dec 4, 2024
    Dataset authored and provided by
    State of Colorado
    Area covered
    Description

    Amtrak train locations are updated every 15 minutes in this dataset via an automation in FME Flow. FME uses an HTTP Caller to extract JSON data from api-v3.amtraker.com, an API made and updated by piemadd on GitHub. The GitHub library and its creator have no relation to Amtrak. Once the JSON data is pulled in to FME, it is flattened and formatted so individual train locations can be mapped via provided coordinates. Users can compare this feature layer to the Track Your Train Map hosted by Amtrak; the original intent of this layer was to provide the Amtrak train location data in a useable GIS format rather than an app that cannot be expanded upon with extra detail or functionality.

  12. Parks, Zoos and Gardens in Hong Kong

    • opendata.esrichina.hk
    • hub.arcgis.com
    • +1more
    Updated Jul 20, 2018
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    Esri China (Hong Kong) Ltd. (2018). Parks, Zoos and Gardens in Hong Kong [Dataset]. https://opendata.esrichina.hk/maps/811666f42fdc415ea7f1fa3d32183268
    Explore at:
    Dataset updated
    Jul 20, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri China (Hong Kong) Ltd.
    Area covered
    Description

    This web map shows the location of the Parks, Zoos and Gardens in Hong Kong. It is a subset of the data made available by the Office of the Government Chief Information Officer under the Government of Hong Kong Special Administrative Region (the “Government”) at https://DATA.GOV.HK/ (“DATA.GOV.HK”). The source data is in JSON format and has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of DATA.GOV.HK at https://data.gov.hk.

  13. K

    New York State Cities

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 6, 2018
    + more versions
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    State of New York (2018). New York State Cities [Dataset]. https://koordinates.com/layer/96214-new-york-state-cities/
    Explore at:
    dwg, shapefile, csv, geodatabase, pdf, mapinfo tab, geopackage / sqlite, kml, mapinfo mifAvailable download formats
    Dataset updated
    Sep 6, 2018
    Dataset authored and provided by
    State of New York
    Area covered
    Description

    Publication Date: APR 2018. A polygon layer of all city boundaries in New York State. The city features and attributes in this layer are the same as those in the Cities_Towns layer in this service. The data was originally a compilation of U.S. Geological Survey 1:100,000-scale digital vector files and NYS Department of Transportation 1:24,000-scale and 1:75,000-scale digital vector files. Boundaries were revised to 1:24,000-scale positional accuracy and selectively updated based on municipal boundary reviews, court decisions and NYS Department of State Local Law filings for annexations, dissolutions, and incorporations. Currently, boundary changes are made based on NYS Department of State Local Law filings (http://locallaws.dos.ny.gov/). Additional updates and corrections are made as needed in partnership with municipalities. Additional metadata, including field descriptions, can be found at the NYS GIS Clearinghouse: http://gis.ny.gov/gisdata/inventories/details.cfm?DSID=927.

    © NYS Office of Information Technology Services GIS Program Office (GPO) This layer is a component of New York State Civil Boundaries.

  14. Skateboard Ground in Hong Kong

    • opendata.esrichina.hk
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Jul 17, 2018
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    Esri China (Hong Kong) Ltd. (2018). Skateboard Ground in Hong Kong [Dataset]. https://opendata.esrichina.hk/maps/858f05f3d4af429490bd1e79ec9cd8c0
    Explore at:
    Dataset updated
    Jul 17, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri China (Hong Kong) Ltd.
    Area covered
    Description

    This web map shows the location of Skateboard Ground in Hong Kong. It is a subset of the geo-referenced public facility data made available by the Leisure and Cultural Services Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://DATA.GOV.HK/ (“DATA.GOV.HK”). The source data is in JSON format and has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of DATA.GOV.HK at https://data.gov.hk.

  15. B

    GIS2DJI: GIS file to DJI Pilot kml conversion tool

    • borealisdata.ca
    • search.dataone.org
    Updated Feb 22, 2024
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    Nicolas Cadieux (2024). GIS2DJI: GIS file to DJI Pilot kml conversion tool [Dataset]. http://doi.org/10.5683/SP3/AFPMUJ
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 22, 2024
    Dataset provided by
    Borealis
    Authors
    Nicolas Cadieux
    License

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

    Description

    GIS2DJI is a Python 3 program created to exports GIS files to a simple kml compatible with DJI pilot. The software is provided with a GUI. GIS2DJI has been tested with the following file formats: gpkg, shp, mif, tab, geojson, gml, kml and kmz. GIS_2_DJI will scan every file, every layer and every geometry collection (ie: MultiPoints) and create one output kml or kmz for each object found. It will import points, lines and polygons, and converted each object into a compatible DJI kml file. Lines and polygons will be exported as kml files. Points will be converted as PseudoPoints.kml. A PseudoPoints fools DJI to import a point as it thinks it's a line with 0 length. This allows you to import points in mapping missions. Points will also be exported as Point.kmz because PseudoPoints are not visible in a GIS or in Google Earth. The .kmz file format should make points compatible with some DJI mission software.

  16. h

    Dog Gardens or Pet Gardens in Hong Kong

    • datastudio-geo.hkstp.org
    Updated Sep 3, 2020
    + more versions
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    HKSTP (2020). Dog Gardens or Pet Gardens in Hong Kong [Dataset]. https://datastudio-geo.hkstp.org/datasets/dog-gardens-or-pet-gardens-in-hong-kong/explore?showTable=true
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    Dataset updated
    Sep 3, 2020
    Dataset authored and provided by
    HKSTP
    Area covered
    Description

    This layer shows the location of Dog Gardens/Pet Gardens in Hong Kong. It is a subset of the data made available by the Leisure and Cultural Services Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://DATA.GOV.HK/ (“DATA.GOV.HK”). The source data is in JSON format and has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of DATA.GOV.HK at https://data.gov.hk.

  17. Jogging Tracks and Fitness Trails in Hong Kong

    • opendata.esrichina.hk
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Jul 31, 2018
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    Esri China (Hong Kong) Ltd. (2018). Jogging Tracks and Fitness Trails in Hong Kong [Dataset]. https://opendata.esrichina.hk/maps/4d170866f62544a09357833d6087c6c9
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    Dataset updated
    Jul 31, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri China (Hong Kong) Ltd.
    Area covered
    Description

    This web map shows the location of Jogging Tracks and Fitness Trails in Hong Kong. It is a subset of the geo-referenced public facility data made available by the Leisure and Cultural Services Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://DATA.GOV.HK/ (“DATA.GOV.HK”). The source data is in JSON format and has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of DATA.GOV.HK at https://data.gov.hk.

  18. G

    Canada Basemap – Transportation (CBMT) - Vector Tile (EPSG: 3857 WGS84...

    • open.canada.ca
    • catalogue.arctic-sdi.org
    html, pdf
    Updated Oct 15, 2025
    + more versions
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    Natural Resources Canada (2025). Canada Basemap – Transportation (CBMT) - Vector Tile (EPSG: 3857 WGS84 Pseudo-Mercator) [Dataset]. https://open.canada.ca/data/dataset/7dd22445-fa7f-49f4-ae9a-2cf70af8f875
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    html, pdfAvailable download formats
    Dataset updated
    Oct 15, 2025
    Dataset provided by
    Natural Resources Canada
    License

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

    Area covered
    Canada
    Description

    The Canada Basemap – Transportation (CBMT) is a vector tile service that provides spatial reference context with an emphasis on transportation networks across Canada. It is designed especially for use as a background layer in a web mapping application or geographic information system (GIS). Access: Access is free of charge under the terms of the Open Government Licence - Canada. Data Sources: Data for the CBMT is sourced from multiple datasets. - Topographic data of Canada - CanVec Series. - “Automatically Extracted Buildings” GeoBase (a raw digital product in vector format automatically extracted from airborne Lidar data, high-resolution optical imagery or other sources). - Open Street Map (OSM) data available under the Open Database License (https://www.openstreetmap.org/copyright). - Official names from the Canadian Geographical Names Database (CGNDB). Geographic Coverage: CBMT has complete coverage of the world, with full datasets in Canada and only partial data in other parts of the world including boundaries, Country Names, and major cities. Data Update Frequency: Updates are applied monthly to reflect the latest updates in the source datasets. Projection: Data is provided in the EPSG:3857 (WGS84 Pseudo-Mercator) projected coordinate system. Layer Access: - CBMT is accessible via the ArcGIS Online item link with the applied style or it can also be accessed directly with the default style using the following Vector Tile Server: https://tiles.arcgis.com/tiles/HsjBaDykC1mjhXz9/arcgis/rest/services/CBMT_CBCT_3857_V_OSM/VectorTileServer - In QGIS or other applications that require the style JSON, the following link can be used: https://arcgis.com/sharing/rest/content/items/800d755712e8415aab301b9d55bc2800/resources/styles/root.json Use Cases: This layer is suitable for use in any map as a basemap layer and can be modified to meet the needs of the project by editing the JSON style in the Vector Tile Style editor. Additional Versions: - A geometry-only version (CBMT3857GEOM) and a text-only version (CBMT3857TXT) are available. - French versions of the basemap are accessible via the Carte de base du Canada - Transport 3857 V (CBCT3857).

  19. h

    Basketball Courts (Free Outdoor Pitches/Courts) in Hong Kong

    • datastudio-geo.hkstp.org
    • opendata.esrichina.hk
    • +1more
    Updated Aug 12, 2020
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    HKSTP (2020). Basketball Courts (Free Outdoor Pitches/Courts) in Hong Kong [Dataset]. https://datastudio-geo.hkstp.org/items/d5f222d9ed7e4d258ce6ff3a41b66367
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    Dataset updated
    Aug 12, 2020
    Dataset authored and provided by
    HKSTP
    Area covered
    Description

    This layer shows the location of Basketball Courts (Free Outdoor Pitches/Courts) in Hong Kong. It is a subset of the geo-referenced public facility data made available by the Leisure and Cultural Services Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://DATA.GOV.HK/ (“DATA.GOV.HK”). The source data is in JSON format and has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of DATA.GOV.HK at https://data.gov.hk.

  20. Model Car Play Area in Hong Kong

    • opendata.esrichina.hk
    • hub.arcgis.com
    • +1more
    Updated Jul 16, 2018
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    Esri China (Hong Kong) Ltd. (2018). Model Car Play Area in Hong Kong [Dataset]. https://opendata.esrichina.hk/maps/af7caeb4dbaa40cdb94f0d291b3bd7c8
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    Dataset updated
    Jul 16, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri China (Hong Kong) Ltd.
    Area covered
    Description

    This web map shows the location of Model Car Play Area in Hong Kong. It is a subset of the geo-referenced public facility data made available by the Leisure and Cultural Services Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://DATA.GOV.HK/ (“DATA.GOV.HK”). The source data is in JSON format and has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of DATA.GOV.HK at https://data.gov.hk.

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Esri (2019). Overwrite Hosted Feature Services, v2.1.4 [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/content/d45f80eb53c748e7aa3d938a46b48836
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Overwrite Hosted Feature Services, v2.1.4

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Dataset updated
Apr 16, 2019
Dataset authored and provided by
Esrihttp://esri.com/
Description

Want to keep the data in your Hosted Feature Service current? Not interested in writing a lot of code?Leverage this Python Script from the command line, Windows Scheduled Task, or from within your own code to automate the replacement of data in an existing Hosted Feature Service. It can also be leveraged by your Notebook environment and automatically managed by the MNCD Tool!See the Sampler Notebook that features the OverwriteFS tool run from Online to update a Feature Service. It leverages MNCD to cache the OverwriteFS script for import to the Notebook. A great way to jump start your Feature Service update workflow! RequirementsPython v3.xArcGIS Python APIStored Connection Profile, defined by Python API 'GIS' module. Also accepts 'pro', to specify using the active ArcGIS Pro connection. Will require ArcGIS Pro and Arcpy!Pre-Existing Hosted Feature ServiceCapabilitiesOverwrite a Feature Service, refreshing the Service Item and DataBackup and reapply Service, Layer, and Item properties - New at v2.0.0Manage Service to Service or Service to Data relationships - New at v2.0.0Repair Lost Service File Item to Service Relationships, re-enabling Service Overwrite - New at v2.0.0'Swap Layer' capability for Views, allowing two Services to support a View, acting as Active and Idle role during Updates - New at v2.0.0Data Conversion capability, able to invoke following a download and before Service update - New at v2.0.0Includes 'Rss2Json' Conversion routine, able to read a RSS or GeoRSS source and generate GeoJson for Service Update - New at v2.0.0Renamed 'Rss2Json' to 'Xml2GeoJSON' for its enhanced capabilities, 'Rss2Json' remains for compatability - Revised at v2.1.0Added 'Json2GeoJSON' Conversion routine, able to read and manipulate Json or GeoJSON data for Service Updates - New at v2.1.0Can update other File item types like PDF, Word, Excel, and so on - New at v2.1.0Supports ArcGIS Python API v2.0 - New at v2.1.2RevisionsSep 29, 2021: Long awaited update to v2.0.0!Sep 30, 2021: v2.0.1, Patch to correct Outcome Status when download or Coversion resulted in no change. Also updated documentation.Oct 7, 2021: v2.0.2, workflow Patch correcting Extent update of Views when Overwriting Service, discovered following recent ArcGIS Online update. Enhancements to 'datetimeUtil' Support script.Nov 30, 2021: v2.1.0, added new 'Json2GeoJSON' Converter, enhanced 'Xml2GeoJSON' Converter, retired 'Rss2Json' Converter, added new Option Switches 'IgnoreAge' and 'UpdateTarget' for source age control and QA/QC workflows, revised Optimization logic and CRC comparison on downloads.Dec 1, 2021: v2.1.1, Only a patch to Conversion routines: Corrected handling of null Z-values in Geometries (discovered immediately following release 2.1.0), improve error trapping while processing rows, and added deprecation message to retired 'Rss2Json' conversion routine.Feb 22, 2022: v2.1.2, Patch to detect and re-apply case-insensitive field indexes. Update to allow Swapping Layers to Service without an associated file item. Added cache refresh following updates. Patch to support Python API 2.0 service 'table' property. Patches to 'Json2GeoJSON' and 'Xml2GeoJSON' converter routines.Sep 5, 2024: v2.1.4, Patch service manager refresh failure issue. Added trace report to Convert execution on exception. Set 'ignore-DataItemCheck' property to True when 'GetTarget' action initiated. Hardened Async job status check. Update 'overwriteFeatureService' to support GeoPackage type and file item type when item.name includes a period, updated retry loop to try one final overwrite after del, fixed error stop issue on failed overwrite attempts. Removed restriction on uploading files larger than 2GB. Restores missing 'itemInfo' file on service File items. Corrected false swap success when view has no layers. Lifted restriction of Overwrite/Swap Layers for OGC. Added 'serviceDescription' to service detail backup. Added 'thumbnail' to item backup/restore logic. Added 'byLayerOrder' parameter to 'swapFeatureViewLayers'. Added 'SwapByOrder' action switch. Patch added to overwriteFeatureService 'status' check. Patch for June 2024 update made to 'managers.overwrite' API script that blocks uploads > 25MB, API v2.3.0.3. Patch 'overwriteFeatureService' to correctly identify overwrite file if service has multiple Service2Data relationships.Includes documentation updates!

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