100+ datasets found
  1. Data from: Getting Started with ArcGIS Pro

    • lecturewithgis.co.uk
    • teach-with-gis-uk-esriukeducation.hub.arcgis.com
    Updated Oct 20, 2022
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    Esri UK Education (2022). Getting Started with ArcGIS Pro [Dataset]. https://lecturewithgis.co.uk/datasets/getting-started-with-arcgis-pro
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    Dataset updated
    Oct 20, 2022
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri UK Education
    Description

    As you might have already heard, after 20+ years of serving the GIS community ArcMap is finally retiring.The desktop role of the ArcGIS system is being replaced by ArcGIS Pro, which is more integrated with other ArcGIS solutions like ArcGIS Online, The Living Atlas, fieldwork and web applications.

  2. a

    Data from: Getting Started with ArcGIS Online

    • hub.arcgis.com
    Updated Dec 19, 2018
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    Clark County GIS Management Office (2018). Getting Started with ArcGIS Online [Dataset]. https://hub.arcgis.com/documents/df6b8fcf85a94849a996afb1aefb4864
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    Dataset updated
    Dec 19, 2018
    Dataset authored and provided by
    Clark County GIS Management Office
    Description

    Quick User Guide for using Clark County Map Services with ArcGIS Online

  3. l

    Place Vulnerability Analysis Solution for ArcGIS Pro (BETA)

    • visionzero.geohub.lacity.org
    • opendata.rcmrd.org
    • +2more
    Updated Feb 12, 2019
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    NAPSG Foundation (2019). Place Vulnerability Analysis Solution for ArcGIS Pro (BETA) [Dataset]. https://visionzero.geohub.lacity.org/content/ee44dd7cd11c4017a67d43fcbb1cb467
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    Dataset updated
    Feb 12, 2019
    Dataset authored and provided by
    NAPSG Foundation
    License

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

    Area covered
    Description

    Purpose: This is an ArcGIS Pro template that GIS Specialists can use to identify vulnerable populations and special needs infrastructure most at risk to flooding events.How does it work?Determine and understand the Place Vulnerability (based on Cutter et al. 1997) and the Special Needs Infrastructure for an area of interest based on Special Flood Hazard Zones, Social Vulnerability Index, and the distribution of its Population and Housing units. The final product will be charts of the data distribution and a Hosted Feature Layer. See this Story Map example for a more detailed explanation.This uses the FEMA National Flood Hazard Layer as an input (although you can substitute your own flood hazard data), check availability for your County before beginning the Task: FEMA NFHL ViewerThe solution consists of several tasks that allow you to:Select an area of interest for your Place Vulnerability Analysis. Select a Hazard that may occur within your area of interest.Select the Social Vulnerability Index (SVI) features contained within your area of interest using the CDC’s Social Vulnerability Index (SVI) – 2016 overall SVI layer at the census tract level in the map.Determine and understand the Social Vulnerability Index for the hazard zones identified within you area of interest.Identify the Special Needs Infrastructure features located within the hazard zones identified within you area of interest.Share your data to ArcGIS Online as a Hosted Feature Layer.FIRST STEPS:Create a folder C:\GIS\ if you do not already have this folder created. (This is a suggested step as the ArcGIS Pro Tasks does not appear to keep relative paths)Download the ZIP file.Extract the ZIP file and save it to the C:\GIS\ location on your computer. Open the PlaceVulnerabilityAnalysis.aprx file.Once the Project file (.aprx) opens, we suggest the following setup to easily view the Tasks instructions, the Map and its Contents, and the Databases (.gdb) from the Catalog pane.The following public web map is included as a Template in the ArcGIS Pro solution file: Place Vulnerability Template Web MapNote 1:As this is a beta version, please take note of some pain points:Data input and output locations may need to be manually populated from the related workspaces (.gdb) or the tools may fail to run. Make sure to unzip/extract the file to the C:\GIS\ location on your computer to avoid issues.Switching from one step to the next may not be totally seamless yet.If you are experiencing any issues with the Flood Hazard Zones service provided, or if the data is not available for your area of interest, you can also download your Flood Hazard Zones data from the FEMA Flood Map Service Center. In the search, use the FEMA ID. Once downloaded, save the data in your project folder and use it as an input.Note 2:In this task, the default hazard being used are the National Flood Hazard Zones. If you would like to use a different hazard, you will need to add the new hazard layer to the map and update all query expressions accordingly.For questions, bug reports, or new requirements contact pdoherty@publicsafetygis.org

  4. n

    IRWIN Data Service User's Guide ( 20190325)

    • prep-response-portal.napsgfoundation.org
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +2more
    Updated Nov 5, 2019
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    NAPSG Foundation (2019). IRWIN Data Service User's Guide ( 20190325) [Dataset]. https://prep-response-portal.napsgfoundation.org/documents/29d7b53aecc1491b9d42fd559368b22f
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    Dataset updated
    Nov 5, 2019
    Dataset authored and provided by
    NAPSG Foundation
    Description

    IntroductionIRWIN ArcGIS Online GeoPlatform Services The Integrated Reporting of Wildland-Fire Information (IRWIN) Production data is replicated every 60 seconds to the ArcGIS Online GeoPlatform organization so that read-only views can be provided for consumers. This replicated view is called the hosted datastore. The “IRWIN Data” group is a set of Feature Layer views based on the replicated IRWIN layers. These feature layers provide a near real-time feed of all valid IRWIN data. All incidents that have been shared through the integration service since May 20, 2014 are available through this service. The incident data provides the location of existing fires, size, conditions and several other attributes that help classify fires. The IRWIN Data service allows users to create a web map, share it with their organization, or pull it into ArcMap or ArcGIS Pro for more in-depth analysis.InstructionsTo allow the emergency management GIS staff to join the IRWIN Data group, they will need to set up an ArcGIS Online account through our account manager. Please send the response to Samantha Gibbes (Samantha.C.Gibbes@saic.com) and Kayloni Ahtong (kayloni_ahtong@ios.doi.gov). Use the below template and fill in each part as best as possible, where the point of contact (POC) is the person responsible for the account.Reply Email Body: The (name of application) application requests the following user account and access to the IRWIN Data group.POC Name: First name Last name and titlePOC Email: Username: <>_irwin (choose a username, something short, followed by _irwin)Business Justification: Once you are set up with the account, I will coordinate a call to go over any questions.

  5. a

    ArcGIS Online Fundamentals

    • hub.arcgis.com
    Updated May 17, 2019
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    State of Delaware (2019). ArcGIS Online Fundamentals [Dataset]. https://hub.arcgis.com/documents/263e7ee8ae5a4416b3fe0c0bb7e9bd17
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    Dataset updated
    May 17, 2019
    Dataset authored and provided by
    State of Delaware
    Description

    Enroll in this plan to understand ArcGIS Online capabilities, publish content to an ArcGIS Online organizational site, create web maps and apps, and review common ArcGIS Online administrative tasks.

    Goals Access web maps, apps, and other GIS resources that have been shared to an ArcGIS Online organizational site. Publish GIS data as services to an ArcGIS Online organizational site. Create, configure, and share web maps and apps. Manage ArcGIS Online user roles and privileges.

  6. d

    GeoServer Tutorials

    • search.dataone.org
    • hydroshare.org
    • +1more
    Updated Aug 5, 2022
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    Jacob Wise Calhoon (2022). GeoServer Tutorials [Dataset]. https://search.dataone.org/view/sha256%3Aa7a065a4b8c7c5cfc1620ba2a12b9669ba4079e7b98983aeae4319eb9269fa92
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    Dataset updated
    Aug 5, 2022
    Dataset provided by
    Hydroshare
    Authors
    Jacob Wise Calhoon
    Description

    This resources contains PDF files and Python notebook files that demonstrate how to create geospatial resources in HydroShare and how to use these resources through web services provided by the built-in HydroShare GeoServer instance. Geospatial resources can be consumed directly into ArcMap, ArcGIS, Story Maps, Quantum GIS (QGIS), Leaflet, and many other mapping environments. This provides HydroShare users with the ability to store data and retrieve it via services without needing to set up new data services. All tutorials cover how to add WMS and WFS connections. WCS connections are available for QGIS and are covered in the QGIS tutorial. The tutorials and examples provided here are intended to get the novice user up-to-speed with WMS and GeoServer, though we encourage users to read further on these topic using internet searches and other resources. Also included in this resource is a tutorial designed to that walk users through the process of creating a GeoServer connected resource.

    The current list of available tutorials: - Creating a Resource - ArcGIS Pro - ArcMap - ArcGIS Story Maps - QGIS - IpyLeaflet - Folium

  7. a

    OGC Web Map Service (WMS):Petroleum System and Assessment of Oil and Gas,...

    • catalogue.arctic-sdi.org
    Updated May 23, 2022
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    (2022). OGC Web Map Service (WMS):Petroleum System and Assessment of Oil and Gas, Travis Peak-Hosston Formations, East Texas Basin and Louisiana-Mississippi Salt Basins Provinces, Texas, Louisiana, Mississippi, Alabama, and Florida [Dataset]. https://catalogue.arctic-sdi.org/geonetwork/srv/resources/datasets/c8997b22-359e-4046-a988-f67ee73f034a
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    Dataset updated
    May 23, 2022
    Area covered
    Travis Peak, Texas
    Description

    (See USGS Digital Data Series DDS-69-E) A geographic information system focusing on the Cretaceous Travis Peak and Hosston Formations was developed for the U.S. Geological Survey's (USGS) 2002 assessment of undiscovered, technically recoverable oil and natural gas resources of the Gulf Coast Region. The USGS Energy Resources Science Center has developed map and metadata services to deliver the 2002 assessment results GIS data and services online. The Gulf Coast assessment is based on geologic elements of a total petroleum system (TPS) as described in Dyman and Condon (2005). The estimates of undiscovered oil and gas resources are within assessment units (AUs). The hydrocarbon assessment units include the assessment results as attributes within the AU polygon feature class (in geodatabase and shapefile format). Quarter-mile cells of the land surface that include single or multiple wells were created by the USGS to illustrate the degree of exploration and the type and distribution of production for each assessment unit. Other data that are available in the map documents and services include the TPS and USGS province boundaries. To easily distribute the Gulf Coast maps and GIS data, a web mapping application has been developed by the USGS, and customized ArcMap (by ESRI) projects are available for download at the Energy Resources Science Center Gulf Coast website. ArcGIS Publisher (by ESRI) was used to create a published map file (pmf) from each ArcMap document (.mxd). The basemap services being used in the GC map applications are from ArcGIS Online Services (by ESRI), and include the following layers: -- Satellite imagery -- Shaded relief -- Transportation -- States -- Counties -- Cities -- National Forests With the ESRI_StreetMap_World_2D service, detailed data, such as railroads and airports, appear as the user zooms in at larger scales. This map service shows the structural configuration of the top of the Travis Peak or Hosston Formations in feet below sea level. The map was produced by calculating the difference between a datum at the land surface (either the Kelly bushing elevation or the ground surface elevation) and the reported depth of the Travis Peak or Hosston. This map service also shows the thickness of the interval from the top of the Travis Peak or Hosston Formations to the top of the Cotton Valley Group.

  8. w

    FSTopo Tiled Basemap ArcGIS Online Web Map

    • data.wu.ac.at
    • hamhanding-dcdev.opendata.arcgis.com
    html
    Updated Aug 24, 2017
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    Department of Agriculture (2017). FSTopo Tiled Basemap ArcGIS Online Web Map [Dataset]. https://data.wu.ac.at/schema/data_gov/MDA2NDJiOTMtNzE2OS00NzVkLTg1MDQtNzIzMmM4YWNjZjhj
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    htmlAvailable download formats
    Dataset updated
    Aug 24, 2017
    Dataset provided by
    Department of Agriculture
    Area covered
    0121b4cdb9adacedb181af6a151de2e598625c94
    Description

    ArcGIS Online Web Map containing ESRI Streets at small scales and FSTopo Basemap at scales larger than 1:144,448. This basemap web map is designed to be used in ArcGIS Online mapping applications with other map services or features services overlayed on the FSTopo basemap.

  9. a

    Mapper Base - Feature Service

    • gis.data.alaska.gov
    • data-soa-dnr.opendata.arcgis.com
    • +1more
    Updated Dec 20, 2024
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    Alaska Department of Natural Resources ArcGIS Online (2024). Mapper Base - Feature Service [Dataset]. https://gis.data.alaska.gov/content/649d2278ca7949bcb114590adbc3ba1c
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    Dataset updated
    Dec 20, 2024
    Dataset authored and provided by
    Alaska Department of Natural Resources ArcGIS Online
    Area covered
    Earth
    Description

    **Suggested to use 'Download' button instead of 'Open in ArcGIS Pro'The REST service page displays all data provided in this layer package: https://arcgis.dnr.alaska.gov/arcgis/rest/services/Mapper/Base_Layers/FeatureServer

  10. d

    California State Waters Map Series--Offshore of Point Conception Web...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Nov 26, 2025
    + more versions
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    U.S. Geological Survey (2025). California State Waters Map Series--Offshore of Point Conception Web Services [Dataset]. https://catalog.data.gov/dataset/california-state-waters-map-series-offshore-of-point-conception-web-services
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    Dataset updated
    Nov 26, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Point Conception, California
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Offshore of Point Conception map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Offshore of Point Conception map area data layers. Data layers are symbolized as shown on the associated map sheets.

  11. a

    OPUS Shared Solutions

    • gis.data.alaska.gov
    • statewide-geoportal-1-soa-dnr.hub.arcgis.com
    Updated Mar 3, 2022
    + more versions
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    Alaska Department of Natural Resources ArcGIS Online (2022). OPUS Shared Solutions [Dataset]. https://gis.data.alaska.gov/datasets/opus-shared-solutions
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    Dataset updated
    Mar 3, 2022
    Dataset authored and provided by
    Alaska Department of Natural Resources ArcGIS Online
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Description

    This is the Feature Layer that supports the National Geodetic Survey (NGS) OPUS Shared solution dashboard as well as the OPUS Solutions Monthly Map. This data layer contains user-contributed geodetic control marks with shared GPS observations, which provide local ties to the National Spatial Reference System. This data layer will be updated monthly by the opus team. For more information about OPUS please visit the About OPUS page. If you would like to upload your own opus solution please visit our upload opus solution page. For additional information about shared solution please visit our shared solutions page.

  12. a

    Mapper Surface Classification - Feature Service

    • gis.data.alaska.gov
    • data-soa-dnr.opendata.arcgis.com
    • +1more
    Updated Dec 20, 2024
    + more versions
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    Alaska Department of Natural Resources ArcGIS Online (2024). Mapper Surface Classification - Feature Service [Dataset]. https://gis.data.alaska.gov/content/e0e3c0047ba141d992a7eee170e8123d
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    Dataset updated
    Dec 20, 2024
    Dataset authored and provided by
    Alaska Department of Natural Resources ArcGIS Online
    Area covered
    Description

    **Suggested to use 'Download' button instead of 'Open in ArcGIS Pro'The REST service page displays all data provided in this layer package: https://arcgis.dnr.alaska.gov/arcgis/rest/services/Mapper/Surface_Classification/FeatureServer

  13. d

    Water Services

    • catalog.data.gov
    • data.seattle.gov
    • +1more
    Updated Nov 29, 2025
    + more versions
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    City of Seattle ArcGIS Online (2025). Water Services [Dataset]. https://catalog.data.gov/dataset/water-services
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    Dataset updated
    Nov 29, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Description

    A grouped feature layer that includes Water Mains, Water Services, Same Side Tap Only and No New Taps layers.Water Mains are large buried pipes that distribute water from a supply source ultimately to customer's service lines. Water Services are lines representing a water service delivered from a watermain to a property.Same Side Tap Only and No New Taps are water main restrictions which represent the availability or access to water main assets. Same Side Tap Only are lines representing where water services are only allowed to be tapped on one side of the water main. No New Taps are lines representing water mains where new water services are no longer permitted to tap into the water main.This data provides a limited view of Seattle's water infrastructure. For example, the data does not include transmission pipelines or feeder mains for reasons of water system network security. The data may show water mains that are not eligible for new water service connections (e.g., obsolete or "no-tap" water mains).

  14. m

    Maryland Community Support - Non Government Community Support Services

    • data.imap.maryland.gov
    • data-maryland.opendata.arcgis.com
    • +3more
    Updated May 1, 2014
    + more versions
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    ArcGIS Online for Maryland (2014). Maryland Community Support - Non Government Community Support Services [Dataset]. https://data.imap.maryland.gov/datasets/c6f91793d0e5436d8aea6ea08607564d
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    Dataset updated
    May 1, 2014
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Area covered
    Description

    Point layer of the locations of non-government community support services.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Structure/MD_CommunitySupport/FeatureServer/1

  15. W

    Wildfire Perimeters (NIFC)

    • wifire-data.sdsc.edu
    • gis-calema.opendata.arcgis.com
    csv, esri rest +4
    Updated Jun 22, 2020
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    CA Governor's Office of Emergency Services (2020). Wildfire Perimeters (NIFC) [Dataset]. https://wifire-data.sdsc.edu/dataset/wildfire-perimeters-nifc
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    kml, html, esri rest, geojson, csv, zipAvailable download formats
    Dataset updated
    Jun 22, 2020
    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

    This ArcGIS Online hosted feature service displays perimeters from the National Incident Feature Service (NIFS) that meet ALL of the following criteria:

    • FeatureCategory = 'Wildfire Daily Fire Perimeter'
    • IsVisible = 'Yes'
    • FeatureAccess = 'Public'
    • FeatureStatus = 'Approved'.

    This dataset is made up of current, active wildfires. On a weekly basis, fires meeting specific criteria are removed from the source service. After removal, those perimeters can be found in the associated "Archived Wildfire Perimeters" service. Criteria include:
    • Perimeters are identified with an IRWIN ID that has non-null values in IRWIN for ContainmentDateTime, ControlDateTime, or FireOutDateTime
    • The most recent controlled/contained/fire out date is greater than 14 days old
    • No IRWIN ID
    • Last edit (based on DateCurrent) is greater than 30 days old
    This hosted feature service is not "live", but is updated every 5 minutes to reflect changes to perimeters posted to the National Incident Feature Service. It is updated from operational data and may not reflect current conditions on the ground. For a better understanding of the workflows involved in mapping and sharing fire perimeter data, see the NWCG Geographic Information System Standard Operating Procedures On Incidents (GSTOP) and most recent addendums: https://www.nwcg.gov/publications/936.

    To use this service from the Open Data site in a web map, click the APIs down arrow, copy the GeoService URL (remove the /query? statement) or just copy and paste this URL and add it to a web map (Add > Add Layer from Web): https://services3.arcgis.com/T4QMspbfLg3qTGWY/arcgis/rest/services/Public_Wildfire_Perimeters_View/FeatureServer

    From within ArcGIS Online, open this feature service in a new web map by clicking Open in Map Viewer.

    Once this service has been added to a web map, the features can be filtered by incident name, GACC, Create Date, or Current Date, keeping in mind that not all perimeters are fully attributed. Not all data are editable through this service and delete is disabled. To delete features, open in ArcGIS Pro or ArcMap.

    If your perimeter is not found in the Current Wildfire Perimeters, check in the Archived dataset: https://nifc.maps.arcgis.com/home/item.html?id=090a23c0470d4ef9a27142ee9b200023

  16. a

    Lead Service Line Inventory Web Symbols

    • lead-service-line-inventory-statelocaltryit.hub.arcgis.com
    Updated Jul 8, 2025
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    ArcGIS Solutions Demonstration organization (2025). Lead Service Line Inventory Web Symbols [Dataset]. https://lead-service-line-inventory-statelocaltryit.hub.arcgis.com/items/4d03908d47ca4e0f8ab33c50a6379bdc
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    ArcGIS Solutions Demonstration organization
    License
    Description

    An ArcGIS Web Style containing the Service Line symbols for the Lead Service Line Inventory solution.

  17. d

    Offshore Aptos Web Services

    • catalog.data.gov
    • s.cnmilf.com
    Updated Nov 26, 2025
    + more versions
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    U.S. Geological Survey (2025). Offshore Aptos Web Services [Dataset]. https://catalog.data.gov/dataset/offshore-aptos-web-services
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    Dataset updated
    Nov 26, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. These data are a part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Offshore Aptos map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://cmgds.marine.usgs.gov/data/csmp/OffshoreAptos/data_catalog_OffshoreAptos.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samples, digital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Offshore Pigeon Point map area data layers. Data layers are symbolized as shown on the associated map sheets for USGS Open-File Report 2015-1232 (https://doi.org/10.3133/ofr20151232).

  18. a

    Imagery with Labels

    • africageoportal.com
    • ethiopia.africageoportal.com
    Updated May 19, 2020
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    Africa GeoPortal (2020). Imagery with Labels [Dataset]. https://www.africageoportal.com/maps/458752360a9641a597d8d9a1e94afe4d
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    Dataset updated
    May 19, 2020
    Dataset authored and provided by
    Africa GeoPortal
    Area covered
    Description

    This web map contains the same layers as the Imagery with Labels basemap that is available in the basemap gallery of ArcGIS.com's map viewer, ArcGIS Explorer Online, ArcGIS Explorer Desktop, and the mobile clients. The Imagery with Labels basemap contains the World Imagery map service with the Boundaries and Places map service drawn on top. When you use this basemap in a web map, any map services that you add into the map get sandwiched between the imagery and the labels drawn on top, so this is a good basemap you use if you want to see services that don't contain their own labels with imagery drawn behind them and reference labels drawn on top.This web map also includes the World Transportation map service. This service shows streets, roads and highways and their names. When you zoom in to the highest level of detail the lines disappear and you just see the street names and road numbers.Feedback: Have you ever seen a problem in the Esri World Imagery Map that you wanted to see fixed? You can use the Imagery Map Feedback web map to provide feedback on issues or errors that you see. The feedback will be reviewed by the ArcGIS Online team and considered for one of our updates.Tip: This same web map is also available with transportation and road names turned on: Imagery with Labels and Transportation.Tip: Here are some famous locations as they appear in this web map, accessed by including their location in the URL that launches the map:Grand Canyon, Arizona, USAGolden Gate, California, USATaj Mahal, Agra, IndiaVatican CityBronze age white horse, Uffington, UKUluru (Ayres Rock), AustraliaMachu Picchu, Cusco, PeruOkavango Delta, Botswana

  19. d

    webFACILITY

    • catalog.data.gov
    • oregon-open-data-geo.hub.arcgis.com
    Updated Nov 29, 2025
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    Oregon ArcGIS Online (2025). webFACILITY [Dataset]. http://catalog.data.gov/dataset/webfacility
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    Dataset updated
    Nov 29, 2025
    Dataset provided by
    Oregon ArcGIS Online
    Description

    This map is used for this web feature layer hosted on ArcGIS Online.https://services.arcgis.com/uUvqNMGPm7axC2dD/arcgis/rest/services/webFACILITY/FeatureServer/0

  20. 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
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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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Esri UK Education (2022). Getting Started with ArcGIS Pro [Dataset]. https://lecturewithgis.co.uk/datasets/getting-started-with-arcgis-pro
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Data from: Getting Started with ArcGIS Pro

Related Article
Explore at:
Dataset updated
Oct 20, 2022
Dataset provided by
Esrihttp://esri.com/
Authors
Esri UK Education
Description

As you might have already heard, after 20+ years of serving the GIS community ArcMap is finally retiring.The desktop role of the ArcGIS system is being replaced by ArcGIS Pro, which is more integrated with other ArcGIS solutions like ArcGIS Online, The Living Atlas, fieldwork and web applications.

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