16 datasets found
  1. OpenStreetMap

    • esriindia.hub.arcgis.com
    • ethiopia.africageoportal.com
    • +46more
    Updated Nov 21, 2024
    + more versions
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    Esri India SAAS App (2024). OpenStreetMap [Dataset]. https://esriindia.hub.arcgis.com/maps/671a954016794bef88b76ac215ec5fef
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    Dataset updated
    Nov 21, 2024
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri India SAAS App
    License

    Attribution-ShareAlike 2.0 (CC BY-SA 2.0)https://creativecommons.org/licenses/by-sa/2.0/
    License information was derived automatically

    Description

    This web map references the live tiled map service from the OpenStreetMap (OSM) project. OpenStreetMap (OSM) is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap server: https://www.OpenStreetMap.org. See that website for additional information about OpenStreetMap. It is made available as a basemap for GIS work in ESRI products under a Creative Commons Attribution-ShareAlike license. Tip: This service is one of the basemaps used in the ArcGIS.com map viewer. Simply click one of those links to launch the interactive application of your choice, and then choose Open Street Map from the Basemap control to start using this service. You'll also find this service in the Basemap gallery in ArcGIS Explorer Desktop and ArcGIS Desktop 10. Tip: Here are some well known locations as they appear in this web map, accessed by launching the web map with a URL that contains location parameters: Athens, Cairo, Jakarta, Moscow, Mumbai, Nairobi, Paris, Rio De Janeiro, Shanghai

  2. MapMasq for Protected Health Data (by GISinc)

    • coronavirus-resources.esri.com
    • coronavirus-disasterresponse.hub.arcgis.com
    Updated Mar 30, 2020
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    Esri’s Disaster Response Program (2020). MapMasq for Protected Health Data (by GISinc) [Dataset]. https://coronavirus-resources.esri.com/documents/dc9af0164fd64a18866425db2e8df1d2
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    Dataset updated
    Mar 30, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri’s Disaster Response Program
    Description

    MapMasq for Protected Health Data (by GISinc).COVID-19 and regulations being put in place to slow the spread have affected all of us in many ways. There is potential for data science in conjunction with spatial analysis to inform decision-makers during this pandemic through broadly disseminated data—especially data that has protected or geomasked the PHI for HIPAA alignment. In the hope to promote additional data sharing that needs to take place, we at GISinc are offering free trial licenses (until September 20) of a tool that can help: MapMasq. About GISinc..._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

  3. a

    Open Data License Agreement for Peoria County

    • data-peoriacountygis.opendata.arcgis.com
    • hub.arcgis.com
    Updated Sep 14, 2017
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    County of Peoria (2017). Open Data License Agreement for Peoria County [Dataset]. https://data-peoriacountygis.opendata.arcgis.com/datasets/open-data-license-agreement-for-peoria-county
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    Dataset updated
    Sep 14, 2017
    Dataset authored and provided by
    County of Peoria
    Area covered
    Peoria County
    Description

    The Peoria County GIS open data website provides GIS data, interactive maps, and digital maps free of charge under an open data license agreement. Please click the Download button to download and view the current Peoria County GIS open data license agreement.Contact InformationEmail: gis@peoriacounty.orgPhysical AddressPeoria County CourthouseIT Service Department - GIS Division324 Main St.Room G11Peoria, IL 61602

  4. W

    Emergency Medical Service Stations

    • wifire-data.sdsc.edu
    • gis-calema.opendata.arcgis.com
    csv, esri rest +4
    Updated May 22, 2019
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    CA Governor's Office of Emergency Services (2019). Emergency Medical Service Stations [Dataset]. https://wifire-data.sdsc.edu/dataset/emergency-medical-service-stations
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    esri rest, kml, zip, geojson, csv, htmlAvailable download formats
    Dataset updated
    May 22, 2019
    Dataset provided by
    CA Governor's Office of Emergency Services
    License

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

    Description
    The dataset represents Emergency Medical Services (EMS) locations in the United States and its territories. EMS Stations are part of the Fire Stations / EMS Stations HSIP Freedom sub-layer, which in turn is part of the Emergency Services and Continuity of Government Sector, which is itself a part of the Critical Infrastructure Category. The EMS stations dataset consists of any location where emergency medical service (EMS) personnel are stationed or based out of, or where equipment that such personnel use in carrying out their jobs is stored for ready use. Ambulance services are included even if they only provide transportation services, but not if they are located at, and operated by, a hospital. If an independent ambulance service or EMS provider happens to be collocated with a hospital, it will be included in this dataset. The dataset includes both private and governmental entities. A concerted effort was made to include all emergency medical service locations in the United States and its territories. This dataset is comprised completely of license free data. Records with "-DOD" appended to the end of the [NAME] value are located on a military base, as defined by the Defense Installation Spatial Data Infrastructure (DISDI) military installations and military range boundaries. At the request of NGA, text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. At the request of NGA, all diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is indicated by the [CONTDATE] field. Based upon this field, the oldest record dates from 12/29/2004 and the newest record dates from 01/11/2010.

    This dataset represents the EMS stations of any location where emergency medical service (EMS) personnel are stationed or based out of, or where equipment that such personnel use in carrying out their jobs is stored for ready use. Homeland Security Use Cases: Use cases describe how the data may be used and help to define and clarify requirements. 1. An assessment of whether or not the total emergency medical services capability in a given area is adequate. 2. A list of resources to draw upon by surrounding areas when local resources have temporarily been overwhelmed by a disaster - route analysis can determine those entities that are able to respond the quickest. 3. A resource for Emergency Management planning purposes. 4. A resource for catastrophe response to aid in the retrieval of equipment by outside responders in order to deal with the disaster. 5. A resource for situational awareness planning and response for Federal Government events.


  5. d

    USGS Imagery Only Base Map Service from The National Map.

    • datadiscoverystudio.org
    • data.wu.ac.at
    xml
    Updated Feb 8, 2018
    + more versions
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    (2018). USGS Imagery Only Base Map Service from The National Map. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/c02a45986160400ca5bc3a71cb554a7f/html
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    xmlAvailable download formats
    Dataset updated
    Feb 8, 2018
    Description

    description: USGS Imagery Only is a tile cache base map of orthoimagery in The National Map visible to the 1:18,000 scale. Orthoimagery data are typically high resolution images that combine the visual attributes of an aerial photograph with the spatial accuracy and reliability of a planimetric map. USGS digital orthoimage resolution may vary from 6 inches to 1 meter. In the former resolution, every pixel in an orthoimage covers a six inch square of the earth's surface, while in the latter resolution, one meter square is represented by each pixel. Blue Marble: Next Generation source is displayed at small to medium scales. However, the majority of the imagery service source is from the National Agriculture Imagery Program (NAIP) for the conterminous United States. The data is 1-meter pixel resolution with "leaf-on". Collection of NAIP imagery is administered by the U.S. Department of Agriculture's Farm Service Agency (FSA). In areas where NAIP data is not available, other imagery may be acquired through partnerships by the USGS. The National Map program is working on acquisition of high resolution orthoimagery (HRO) for Alaska and Hawaii. Most of the new Alaska imagery data will not be available in this service due to license restrictions. The National Map viewer allows free downloads of public domain, 1-meter resolution orthoimagery in JPEG 2000 (jp2) format for the conterminous United States, with many urban areas and other locations at 1-foot (or better) resolution also in JPEG 2000 (jp2) format. For scales below 1:18,000, use the dynamic USGS Imagery Only Large service, https://services.nationalmap.gov/arcgis/rest/services/USGSImageOnlyLarge/MapServer.; abstract: USGS Imagery Only is a tile cache base map of orthoimagery in The National Map visible to the 1:18,000 scale. Orthoimagery data are typically high resolution images that combine the visual attributes of an aerial photograph with the spatial accuracy and reliability of a planimetric map. USGS digital orthoimage resolution may vary from 6 inches to 1 meter. In the former resolution, every pixel in an orthoimage covers a six inch square of the earth's surface, while in the latter resolution, one meter square is represented by each pixel. Blue Marble: Next Generation source is displayed at small to medium scales. However, the majority of the imagery service source is from the National Agriculture Imagery Program (NAIP) for the conterminous United States. The data is 1-meter pixel resolution with "leaf-on". Collection of NAIP imagery is administered by the U.S. Department of Agriculture's Farm Service Agency (FSA). In areas where NAIP data is not available, other imagery may be acquired through partnerships by the USGS. The National Map program is working on acquisition of high resolution orthoimagery (HRO) for Alaska and Hawaii. Most of the new Alaska imagery data will not be available in this service due to license restrictions. The National Map viewer allows free downloads of public domain, 1-meter resolution orthoimagery in JPEG 2000 (jp2) format for the conterminous United States, with many urban areas and other locations at 1-foot (or better) resolution also in JPEG 2000 (jp2) format. For scales below 1:18,000, use the dynamic USGS Imagery Only Large service, https://services.nationalmap.gov/arcgis/rest/services/USGSImageOnlyLarge/MapServer.

  6. Driver licence holders dataset & API

    • opendata-nzta.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jan 1, 2023
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    Waka Kotahi (2023). Driver licence holders dataset & API [Dataset]. https://opendata-nzta.opendata.arcgis.com/datasets/driver-licence-holders-dataset-api
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    Dataset updated
    Jan 1, 2023
    Dataset provided by
    NZ Transport Agency Waka Kotahihttp://www.nzta.govt.nz/
    Authors
    Waka Kotahi
    License

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

    Description

    The information was extracted from the Driver Licence Register (DLR) and is current as at 1 July 2023.The data is a distinct count of individuals.An snapshot of licence holders is taken every year covering the annual period of 1st July to 30th June which covers Waka Kotahi's financial year. The data is limited to current licence holders with the following licence classes:Class 1 Motor Cars and Light Motor Vehicles - learner, restricted or fullClass 6 Motorcycles, Moped or ATV - learner, restricted or full.An individual licence holder will be included in more than one count if both class 1 and class 6 are held.A licence holder must hold a full Class 1 (Car) licence before they can apply for a heavy vehicle licence.The data is also limited to current licence holders issued with a photo driver licence (PDL).Region is determined by the physical town or suburb recorded for the driver. It may not reflect the driver's current address.We added low-population regions into a 'Misc' grouping. These regions are Gisborne, Tasman and West Coast.We have not included license holders under 16, because the legal age to get a learner's license increased from from 15 to 16 on 1 August 2011.Data quality statement: Address fields are free text and may contain errors which lead to incorrect coding.Addresses in the driver licence register can often be out of date. It’s therefore difficult to establish what proportion of licence holders are actually still based in a certain location.Address fields are updated when we receive notification of a change of address from the licence holder.Notifications for a change of address may come:directly from the licence holder (for example, the licence holder calling the contact centre and updating their address)as an outcome of a transaction against the licence holder on the DLR (including the processing of an application at a driver licensing outlet with an address update).Data quality caveats: See data quality statement.A legacy Excel file is available here (current to 1 July 2023) but will not be updated in future.

  7. LINZ Aerial Imagery Basemap - Web Mercator

    • anrgeodata.vermont.gov
    • opendata.rcmrd.org
    • +1more
    Updated Jun 10, 2021
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    Land Information New Zealand (2021). LINZ Aerial Imagery Basemap - Web Mercator [Dataset]. https://anrgeodata.vermont.gov/maps/850d6096d89b48228a0638842fa3801c
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    Dataset updated
    Jun 10, 2021
    Dataset authored and provided by
    Land Information New Zealandhttps://www.linz.govt.nz/
    License

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

    Area covered
    South Pacific Ocean, Pacific Ocean
    Description

    An aerial imagery basemap of New Zealand in Web Mercator (WGS 1984) using the latest quality data from Land Information New Zealand.Add the map service directly to your ArcGIS Online map, or copy the Web Map Tile Service (WMTS) URL below for use in the desktop.This basemap is also available in NZTM from: https://linz.maps.arcgis.com/home/item.html?id=39cf07ebf8a2413696d8fd4d80570b84 The LINZ Aerial Imagery Basemap details New Zealand in high resolution - from a nationwide view all the way down to individual buildings.This basemap combines the latest high-resolution aerial imagery down to 5cm in urban areas and 10m satellite imagery to provide full coverage of mainland New Zealand, Chathams and other offshore islands.LINZ Basemaps are powered by data from the LINZ Data Service and other authoritative open data sources, providing you with a basemap that is free to use under an open licence.A XYZ tile API (Web Mercator only) is also available for use in web and mobile applications.See more information or provide your feedback at https://basemaps.linz.govt.nz/.For attribution requirements and data sources see: https://www.linz.govt.nz/data/linz-data/linz-basemaps/data-attribution.

  8. Torres Strait Sentinel 2 Satellite Regional Maps and Imagery 2015 – 2021...

    • researchdata.edu.au
    Updated Oct 1, 2022
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    Lawrey, Eric, Dr; Lawrey, Eric, Dr (2022). Torres Strait Sentinel 2 Satellite Regional Maps and Imagery 2015 – 2021 (AIMS) [Dataset]. http://doi.org/10.26274/3CGE-NV85
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    Dataset updated
    Oct 1, 2022
    Dataset provided by
    Australian Institute Of Marine Sciencehttp://www.aims.gov.au/
    Australian Ocean Data Network
    Authors
    Lawrey, Eric, Dr; Lawrey, Eric, Dr
    License

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

    Time period covered
    Oct 1, 2015 - Mar 1, 2022
    Area covered
    Description

    This dataset contains both large (A0) printable maps of the Torres Strait broken into six overlapping regions, based on a clear sky, clear water composite Sentinel 2 composite imagery and the imagery used to create these maps. These maps show satellite imagery of the region, overlaid with reef and island boundaries and names. Not all features are named, just the more prominent features. This also includes a vector map of Ashmore Reef and Boot Reef in Coral Sea as these were used in the same discussions that these maps were developed for. The map of Ashmore Reef includes the atoll platform, reef boundaries and depth polygons for 5 m and 10 m.

    This dataset contains all working files used in the development of these maps. This includes all a copy of all the source datasets and all derived satellite image tiles and QGIS files used to create the maps. This includes cloud free Sentinel 2 composite imagery of the Torres Strait region with alpha blended edges to allow the creation of a smooth high resolution basemap of the region.

    The base imagery is similar to the older base imagery dataset: Torres Strait clear sky, clear water Landsat 5 satellite composite (NERP TE 13.1 eAtlas, AIMS, source: NASA).

    Most of the imagery in the composite imagery from 2017 - 2021.

    Method: The Sentinel 2 basemap was produced by processing imagery from the World_AIMS_Marine-satellite-imagery dataset (not yet published) for the Torres Strait region. The TrueColour imagery for the scenes covering the mapped area were downloaded. Both the reference 1 imagery (R1) and reference 2 imagery (R2) was copied for processing. R1 imagery contains the lowest noise, most cloud free imagery, while R2 contains the next best set of imagery. Both R1 and R2 are typically composite images from multiple dates.

    The R2 images were selectively blended using manually created masks with the R1 images. This was done to get the best combination of both images and typically resulted in a reduction in some of the cloud artefacts in the R1 images. The mask creation and previewing of the blending was performed in Photoshop. The created masks were saved in 01-data/R2-R1-masks. To help with the blending of neighbouring images a feathered alpha channel was added to the imagery. The processing of the merging (using the masks) and the creation of the feathered borders on the images was performed using a Python script (src/local/03-merge-R2-R1-images.py) using the Pillow library and GDAL. The neighbouring image blending mask was created by applying a blurring of the original hard image mask. This allowed neighbouring image tiles to merge together.

    The imagery and reference datasets (reef boundaries, EEZ) were loaded into QGIS for the creation of the printable maps.

    To optimise the matching of the resulting map slight brightness adjustments were applied to each scene tile to match its neighbours. This was done in the setup of each image in QGIS. This adjustment was imperfect as each tile was made from a different combinations of days (to remove clouds) resulting in each scene having a different tonal gradients across the scene then its neighbours. Additionally Sentinel 2 has slight stripes (at 13 degrees off the vertical) due to the swath of each sensor having a slight sensitivity difference. This effect was uncorrected in this imagery.

    Single merged composite GeoTiff: The image tiles with alpha blended edges work well in QGIS, but not in ArcGIS Pro. To allow this imagery to be used across tools that don't support the alpha blending we merged and flattened the tiles into a single large GeoTiff with no alpha channel. This was done by rendering the map created in QGIS into a single large image. This was done in multiple steps to make the process manageable.

    The rendered map was cut into twenty 1 x 1 degree georeferenced PNG images using the Atlas feature of QGIS. This process baked in the alpha blending across neighbouring Sentinel 2 scenes. The PNG images were then merged back into a large GeoTiff image using GDAL (via QGIS), removing the alpha channel. The brightness of the image was adjusted so that the darkest pixels in the image were 1, saving the value 0 for nodata masking and the boundary was clipped, using a polygon boundary, to trim off the outer feathering. The image was then optimised for performance by using internal tiling and adding overviews. A full breakdown of these steps is provided in the README.md in the 'Browse and download all data files' link.

    The merged final image is available in export\TS_AIMS_Torres Strait-Sentinel-2_Composite.tif.

    Change Log: 2023-03-02: Eric Lawrey Created a merged version of the satellite imagery, with no alpha blending so that it can be used in ArcGIS Pro. It is now a single large GeoTiff image. The Google Earth Engine source code for the World_AIMS_Marine-satellite-imagery was included to improve the reproducibility and provenance of the dataset, along with a calculation of the distribution of image dates that went into the final composite image. A WMS service for the imagery was also setup and linked to from the metadata. A cross reference to the older Torres Strait clear sky clear water Landsat composite imagery was also added to the record.

    22 Nov 2023: Eric Lawrey Added the data and maps for close up of Mer. - 01-data/TS_DNRM_Mer-aerial-imagery/ - preview/Torres-Strait-Mer-Map-Landscape-A0.jpeg - exports/Torres-Strait-Mer-Map-Landscape-A0.pdf Updated 02-Torres-Strait-regional-maps.qgz to include the layout for the new map.

    Source datasets: Complete Great Barrier Reef (GBR) Island and Reef Feature boundaries including Torres Strait Version 1b (NESP TWQ 3.13, AIMS, TSRA, GBRMPA), https://eatlas.org.au/data/uuid/d2396b2c-68d4-4f4b-aab0-52f7bc4a81f5

    Geoscience Australia (2014b), Seas and Submerged Lands Act 1973 - Australian Maritime Boundaries 2014a - Geodatabase [Dataset]. Canberra, Australia: Author. https://creativecommons.org/licenses/by/4.0/ [license]. Sourced on 12 July 2017, https://dx.doi.org/10.4225/25/5539DFE87D895

    Basemap/AU_GA_AMB_2014a/Exclusive_Economic_Zone_AMB2014a_Limit.shp The original data was obtained from GA (Geoscience Australia, 2014a). The Geodatabase was loaded in ArcMap. The Exclusive_Economic_Zone_AMB2014a_Limit layer was loaded and exported as a shapefile. Since this file was small no clipping was applied to the data.

    Geoscience Australia (2014a), Treaties - Australian Maritime Boundaries (AMB) 2014a [Dataset]. Canberra, Australia: Author. https://creativecommons.org/licenses/by/4.0/ [license]. Sourced on 12 July 2017, http://dx.doi.org/10.4225/25/5539E01878302 Basemap/AU_GA_Treaties-AMB_2014a/Papua_New_Guinea_TSPZ_AMB2014a_Limit.shp The original data was obtained from GA (Geoscience Australia, 2014b). The Geodatabase was loaded in ArcMap. The Papua_New_Guinea_TSPZ_AMB2014a_Limit layer was loaded and exported as a shapefile. Since this file was small no clipping was applied to the data.

    AIMS Coral Sea Features (2022) - DRAFT This is a draft version of this dataset. The region for Ashmore and Boot reef was checked. The attributes in these datasets haven't been cleaned up. Note these files should not be considered finalised and are only suitable for maps around Ashmore Reef. Please source an updated version of this dataset for any other purpose. CS_AIMS_Coral-Sea-Features/CS_Names/Names.shp CS_AIMS_Coral-Sea-Features/CS_Platform_adj/CS_Platform.shp CS_AIMS_Coral-Sea-Features/CS_Reef_Boundaries_adj/CS_Reef_Boundaries.shp CS_AIMS_Coral-Sea-Features/CS_Depth/CS_AIMS_Coral-Sea-Features_Img_S2_R1_Depth5m_Coral-Sea.shp CS_AIMS_Coral-Sea-Features/CS_Depth/CS_AIMS_Coral-Sea-Features_Img_S2_R1_Depth10m_Coral-Sea.shp

    Murray Island 20 Sept 2011 15cm SISP aerial imagery, Queensland Spatial Imagery Services Program, Department of Resources, Queensland This is the high resolution imagery used to create the map of Mer.

    Marine satellite imagery (Sentinel 2 and Landsat 8) (AIMS), https://eatlas.org.au/data/uuid/5d67aa4d-a983-45d0-8cc1-187596fa9c0c - World_AIMS_Marine-satellite-imagery

    Data Location: This dataset is filed in the eAtlas enduring data repository at: data\custodian\2020-2029-AIMS\TS_AIMS_Torres-Strait-Sentinel-2-regional-maps. On the eAtlas server it is stored at eAtlas GeoServer\data\2020-2029-AIMS.

  9. c

    County Boundary

    • gis.sonomacounty.ca.gov
    • gis-sonomacounty.hub.arcgis.com
    Updated Jun 15, 2020
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    The County of Sonoma (2020). County Boundary [Dataset]. https://gis.sonomacounty.ca.gov/datasets/county-boundary/explore
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    Dataset updated
    Jun 15, 2020
    Dataset authored and provided by
    The County of Sonoma
    License

    Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
    License information was derived automatically

    Area covered
    Description

    You are free to: Share - copy and redistribute the data in any medium or format. Adapt - You may make derivative works, transform, and build upon the data for any purpose, even commercial. The licensor cannot revoke these freedoms as long as you follow the license terms.License terms: Attribution - You must give appropriate credit (if supplied, you must provide the name of the creator and attribution parties, a copyright notice, a license notice, a disclaimer notice and a link to the material) and indicate if any changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you, your organization, or your use of the data. ShareAlike - if you modify, transform, or build on the data, you must distribute your contributions under the same license as the original.No additional Restrictions - You may not apply legal terms or technological measures that legally restrict others form doing anything the license permits.Notices: You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation. No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the data.EXCEPT TO THE EXTENT REQUIRED BY APPLICABLE LAW, IN NO EVENT WILL LICENSOR BE LIABLE TO YOU ON ANY LEGAL THEORY FOR ANY SPECIAL, INCIDENTAL, CONSEQUENTIAL, PUNITIVE OR EXEMPLARY DAMAGES ARISING OUT OF THIS LICENSE OR THE USE OF THE DATA, EVEN IF LICENSOR HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.The above is an easily understandable summary of and not a substitute for the license and disclaimer for the Attribution-ShareAlike 3.0 United States (CC BY-SA 3.0 US) the full text is available at creativecommons.org.https://creativecommons.org/licenses/by-sa/3.0/us/legalcode

  10. a

    New Hampshire Fire Stations

    • hub.arcgis.com
    • nhgeodata.unh.edu
    • +1more
    Updated Sep 19, 2008
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    New Hampshire GRANIT GIS Clearinghouse (2008). New Hampshire Fire Stations [Dataset]. https://hub.arcgis.com/datasets/58b3e4b55c844263a9ca3a1e29678986
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    Dataset updated
    Sep 19, 2008
    Dataset authored and provided by
    New Hampshire GRANIT GIS Clearinghouse
    Area covered
    Description

    Fire Stations in New Hampshire Any location where fire fighters are stationed or based out of, or where equipment that such personnel use in carrying out their jobs is stored for ready use. Fire Departments not having a permanent location are included, in which case their location has been depicted at the city/town hall or at the center of their service area if a city/town hall does not exist. This dataset includes those locations primarily engaged in forest or grasslands fire fighting, including fire lookout towers if the towers are in current use for fire protection purposes. This dataset includes both private and governmental entities. Fire fighting training academies are also included. This dataset is comprised completely of license free data. The Fire Station dataset and the EMS dataset were merged into one working file. TGS processed as one file and then separated for delivery purposes. Records with "-DOD" appended to the end of the [NAME] value are located on a military base, as defined by the Defense Installation Spatial Data Infrastructure (DISDI) military installations and military range boundaries. Text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. All diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is indicated by the [CONTDATE] field. Based upon this field, the oldest record dates from 01/07/2005 and the newest record dates from 07/14/2008.

  11. a

    Data from: Public Parking

    • greeleygis2017-02-01t212304815z-greeley.opendata.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Feb 5, 2024
    + more versions
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    City of Greeley, Colorado (2024). Public Parking [Dataset]. https://greeleygis2017-02-01t212304815z-greeley.opendata.arcgis.com/datasets/public-parking
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    Dataset updated
    Feb 5, 2024
    Dataset authored and provided by
    City of Greeley, Colorado
    Area covered
    Description

    Downtown Parking Map depicts the City of Greeley's public and permit parking information as polygons outlining each parking area's description of use. All vehicles must comply with Greeley City Municipal Code requirements while parked in public space/public right-of-way including, but not limited to, being properly licensed/registered and being operable.Free parking areas allow free all day parking. Exceptions to free parking zones include: Any sign restrictions andVehicles that have not moved more than 72 hours may be tagged as abandoned per Municipal Code. Timed parking offers two hours of free parking, with the option to "Pay to Stay" through the Passport parking phone application.Permit parking offers longer parking for permit holders in designated permit parking lots. Parking permits may be purchased online on an annual or quarterly basis as availability allows at: https://greeleygov.com/services/parking/permitsParking restrictions are enforced 7 AM to 5 PM weekdays in permit areas and timed parking zones using license plate recognition software. Additional information regarding Downtown Parking can be accessed on our website: www.greeleygov.com/services/parkingParking standards are updated annually. This data is active for January 1st to December 31st, 2024.

  12. CGG Digital Well Logs

    • opendata-nstauthority.hub.arcgis.com
    • find.data.gov.scot
    • +1more
    Updated Jul 1, 2019
    + more versions
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    Oil and Gas Authority (2019). CGG Digital Well Logs [Dataset]. https://opendata-nstauthority.hub.arcgis.com/datasets/cgg-digital-well-logs
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    Dataset updated
    Jul 1, 2019
    Dataset provided by
    North Sea Transition Authorityhttp://nstauthority.co.uk/
    Authors
    Oil and Gas Authority
    Description

    The NSTA has recently purchased digital well data from CGG for an additional 2235 E&A wells. These have been selected from across the UKCS to complement the existing joined digital well logs that the NSTA has previously released either in support of licence rounds (e.g. 30th Licensing Round, Greater Buchan Area Supplementary Round) or as part of the Government Seismic Data initiatives. Where available, the NSTA has purchased joined digital well logs, deviation data and checkshot data for these additional wells. These data have been loaded to the National Data Repository (NDR). The NSTA’s Well Data Availability layer has also been updated to reflect which well data has been purchased. These data are being released under the OGA Licence (OGAL), the terms of which are available on download from the NDR.

  13. a

    DOC Public Conservation Land

    • doc-deptconservation.opendata.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Mar 7, 2018
    + more versions
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    DOC_admin (2018). DOC Public Conservation Land [Dataset]. https://doc-deptconservation.opendata.arcgis.com/datasets/72354ba9bf7a4706af3fdfe60f86eea1
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    Dataset updated
    Mar 7, 2018
    Dataset authored and provided by
    DOC_admin
    License

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

    Area covered
    Description

    Spatial representation of DOC's land management units defined by various acts of parliament and legislation. The attributes in this dataset are derived from the National Property and Land Information System (NaPALIS), which is a centralised database for all Land Information New Zealand (LINZ) and Department of Conservation (DOC) administered land. Public Conservation Land (abbreviated to PCL) parcels are defined geographically, recognised, dedicated and managed, through legal or other effective means, to achieve the long term conservation of nature with associated ecosystem services and cultural values.New Zealand's Public Conservation Land is managed under four main laws.Conservation Act 1987National Parks Act 1980Reserves Act 1977Wildlife Act 1953These manifest in numerous different types of protected area, the most important of which are:National ParksConservation ParksNature ReservesScientific ReservesScenic ReservesRecreation (and other) ReservesN.B. Combining Public Conservation Land, with Marine Reserves and Sanctuaries to Protect Marine Mammals is collectively known as Public Conservation Areas (PCA).*****LICENCE*****This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA.*****DISCLAIMER***** 1. DOC makes no express or implied warranties as to the accuracy or completeness of the data or information, nor its suitability for any purpose. Errors are inevitably part of any database, and can arise by a number of means, from errors during field data collection, to errors during data entry. 2. DOC makes no warranties or representations as to possible infringement upon copyrights or other intellectual property rights of others in the data or information. 3. DOC will not accept liability for any direct, indirect, special or consequential damages, losses or expenses howsoever arising and relating to use, or lack of use, of the data or information supplied.*****GUIDELINES FOR THE USE OF THE INFORMATION***** 4. Care should be taken in deriving conclusions from any data or information supplied. 5. Any use of the data or information supplied should state when the data or information was acquired and that it may now be out-of-date.*****COPYRIGHT OBLIGATIONS***** 6. All proprietary rights to the intellectual property in the data or information remain with the Crown as its sole property. 7. Modification of the data and information or the addition of the information does not confer copyright or any other form of property of the original material to a user. 8. All maps or reports that are derived from the data or information must acknowledge the Crown copyright, in the following way: Crown Copyright: Department of Conservation Te Papa Atawhai [year]. 9. This information resource may be passed onto another party, in either hard copy or electronic form. If a user does this, then it is recommended that they also supply this metadata record with the information resource.

  14. a

    Tunbridge Wells Open Data - Card Spend - Financial Year 2019 to 2020

    • opendatanew-tunbridgewells.opendata.arcgis.com
    • opendata.tunbridgewells.gov.uk
    • +3more
    Updated Aug 15, 2019
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    Tunbridge Wells Borough Council (2019). Tunbridge Wells Open Data - Card Spend - Financial Year 2019 to 2020 [Dataset]. https://opendatanew-tunbridgewells.opendata.arcgis.com/datasets/0a61b9f706f84dbfba913454a96724fc
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    Dataset updated
    Aug 15, 2019
    Dataset authored and provided by
    Tunbridge Wells Borough Council
    Description

    The Local Government Transparency Code 2015 was published by the Department for Communities and Local Government in February 2015. The Code sets out key principles for local authorities in creating greater transparency through the publication of public data.This data is published under The Open Government Licence. This is a free open licence for public sector bodies to license the use and re-use of their information and data easily. If you are intending to use or re-use any of our data please note the conditions of the licence.The Government's transparency agenda encourages local authorities to make public data openly available, as part of this items of spending via our Purchase Cards can be seen by financial year.Certain data may be redacted to comply with the Freedom of Information and Data Protection Acts

  15. a

    Structures

    • portal-mainroads.opendata.arcgis.com
    • esriaustraliahub.com.au
    • +1more
    Updated Oct 19, 2016
    + more versions
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    Main Roads Western Australia (2016). Structures [Dataset]. https://portal-mainroads.opendata.arcgis.com/datasets/structures
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    Dataset updated
    Oct 19, 2016
    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

    Area covered
    Description

    Layer of Structures (road and pedestrian bridges, rail bridges, sign gantries and tunnels), in Western Australia. This layer provides general inventory information for all Structures on State roads, Local roads or Department of Environment and Conservation (DEC) roads. A road structure is that portion of the carriageway that carries vehicular, pedestrian, and bicycle traffic over or under an obstruction such as a watercourse, another road or railway line. This layer shows the location of Structures on all public access roads in Western Australia and is provided for information only.Note that you are accessing this data 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.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.Creative Commons CC BY 4.0 https://creativecommons.org/licenses/by/4.0/

  16. a

    Tunbridge Wells Open Data - Card Spend - Financial Year 2016 to 2017

    • opendatanew-tunbridgewells.opendata.arcgis.com
    • opendata.tunbridgewells.gov.uk
    • +2more
    Updated Aug 14, 2019
    + more versions
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    Tunbridge Wells Borough Council (2019). Tunbridge Wells Open Data - Card Spend - Financial Year 2016 to 2017 [Dataset]. https://opendatanew-tunbridgewells.opendata.arcgis.com/datasets/tunbridgewells::tunbridge-wells-open-data-card-spend-financial-year-2016-to-2017-1
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    Dataset updated
    Aug 14, 2019
    Dataset authored and provided by
    Tunbridge Wells Borough Council
    Area covered
    Royal Tunbridge Wells
    Description

    The Local Government Transparency Code 2015 was published by the Department for Communities and Local Government in February 2015. The Code sets out key principles for local authorities in creating greater transparency through the publication of public data.This data is published under The Open Government Licence. This is a free open licence for public sector bodies to license the use and re-use of their information and data easily. If you are intending to use or re-use any of our data please note the conditions of the licence.The Government's transparency agenda encourages local authorities to make public data openly available, as part of this items of spending via our Purchase Cards can be seen by financial year.Certain data may be redacted to comply with the Freedom of Information and Data Protection Acts.

  17. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Esri India SAAS App (2024). OpenStreetMap [Dataset]. https://esriindia.hub.arcgis.com/maps/671a954016794bef88b76ac215ec5fef
Organization logo

OpenStreetMap

Explore at:
Dataset updated
Nov 21, 2024
Dataset provided by
Esrihttp://esri.com/
Authors
Esri India SAAS App
License

Attribution-ShareAlike 2.0 (CC BY-SA 2.0)https://creativecommons.org/licenses/by-sa/2.0/
License information was derived automatically

Description

This web map references the live tiled map service from the OpenStreetMap (OSM) project. OpenStreetMap (OSM) is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap server: https://www.OpenStreetMap.org. See that website for additional information about OpenStreetMap. It is made available as a basemap for GIS work in ESRI products under a Creative Commons Attribution-ShareAlike license. Tip: This service is one of the basemaps used in the ArcGIS.com map viewer. Simply click one of those links to launch the interactive application of your choice, and then choose Open Street Map from the Basemap control to start using this service. You'll also find this service in the Basemap gallery in ArcGIS Explorer Desktop and ArcGIS Desktop 10. Tip: Here are some well known locations as they appear in this web map, accessed by launching the web map with a URL that contains location parameters: Athens, Cairo, Jakarta, Moscow, Mumbai, Nairobi, Paris, Rio De Janeiro, Shanghai

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