93 datasets found
  1. Data from: Banking Data

    • caliper.com
    cdf, dwg, dxf, gdb +9
    Updated Sep 18, 2024
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    Caliper Corporation (2024). Banking Data [Dataset]. https://www.caliper.com/mapping-software-data/bank-credit-union-data.htm
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    kml, geojson, kmz, cdf, shp, dxf, ntf, dwg, sql server mssql, gdb, sdo, postgis, postgresqlAvailable download formats
    Dataset updated
    Sep 18, 2024
    Dataset authored and provided by
    Caliper Corporationhttp://www.caliper.com/
    License

    https://www.caliper.com/license/maptitude-license-agreement.htmhttps://www.caliper.com/license/maptitude-license-agreement.htm

    Time period covered
    2024
    Area covered
    United States
    Description

    Free layers of bank and credit union data for the United States are available for use with GIS mapping software, databases, and web applications.

  2. Conservation and Mitigation Banks [ds2782]

    • data.ca.gov
    • data.cnra.ca.gov
    • +6more
    Updated Jun 9, 2025
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    California Department of Fish and Wildlife (2025). Conservation and Mitigation Banks [ds2782] [Dataset]. https://data.ca.gov/dataset/conservation-and-mitigation-banks-ds2782
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    arcgis geoservices rest api, zip, csv, kml, geojson, htmlAvailable download formats
    Dataset updated
    Jun 9, 2025
    Dataset authored and provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    License

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

    Description

    A conservation or mitigation bank is privately or publicly owned land managed for its natural resource values. In exchange for permanently protecting, managing, and monitoring the land, the bank sponsor is allowed to sell or transfer habitat credits to permitees who need to satisfy legal requirements and compensate for the environmental impacts of developmental projects.

    Conservation (Endangered Species) Banking

    A conservation bank generally protects threatened and endangered species and habitat. Credits are established for the specific sensitive species that occur on the site. Conservation banks help to consolidate small, fragmented sensitive species compensation projects into large contiguous preserves which have much higher wildlife habitat values. Other agencies that typically participate in the regulation and approval of conservation banks are the U.S. Fish and Wildlife Service and National Oceanic and Atmospheric Administration-National Marine Fisheries Service.

    Mitigation (Wetlands) Banking

    A mitigation bank protects, restores, creates, and enhances wetland habitats. Credits are established to compensate for unavoidable wetland losses. Use of mitigation bank credits must occur in advance of development, when the compensation cannot be achieved at the development site or would not be as environmentally beneficial. Mitigation banking helps to consolidate small, fragmented wetland mitigation projects into large contiguous preserves which will have much higher wildlife habitat values. Mitigation banks are generally approved by the California Department of Fish and Wildlife, U.S. Fish and Wildlife Service, the U.S. Army Corps of Engineers, and the U.S. Environmental Protection Agency.

  3. d

    Bank Locations

    • catalog.data.gov
    • opendata.dc.gov
    • +5more
    Updated May 7, 2025
    + more versions
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    City of Washington, DC (2025). Bank Locations [Dataset]. https://catalog.data.gov/dataset/bank-locations
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    Dataset updated
    May 7, 2025
    Dataset provided by
    City of Washington, DC
    Description

    The Banking Bureau of the Department of Insurance Securities and Banking (DISB) regulates District of Columbia Chartered Banks, mortgage companies, and consumer finance companies. The Bureau strives to ensure a sound and thriving financial services community that provides the products, credit, and capital vital to the needs of District of Columbia residents and businesses. DISB charters and regulates District of Columbia banks and other DC depository financial institutions. DISB also regulates non-depository financial institutions such as mortgage lenders and brokers, money transmitters, consumer finance companies, and check cashers. The data is updated as needed.

  4. d

    Data from: Geographic Locations of Seabed Sediment Samples from the...

    • search.dataone.org
    • data.usgs.gov
    • +3more
    Updated Feb 1, 2018
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    Leslie B. Gallea (2018). Geographic Locations of Seabed Sediment Samples from the Stellwagen Bank National Marine Sanctuary Region (SB_SEDSAMPLES Shapefile) [Dataset]. https://search.dataone.org/view/1c719594-465d-47c1-bc48-0457150c9078
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    Dataset updated
    Feb 1, 2018
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Leslie B. Gallea
    Time period covered
    Jan 1, 1993 - Jan 1, 2004
    Area covered
    Variables measured
    FID, Mud, Quad, Year, Shape, Latitude, 1_phi_siz, 2_phi_siz, 3_phi_siz, 4_phi_siz, and 27 more
    Description

    The U.S. Geological Survey, in collaboration with the National Oceanic and Atmospheric Administration's (NOAA) National Marine Sanctuary Program, conducted seabed mapping and related research in the Stellwagen Bank National Marine Sanctuary region from 1993 to 2004. The mapped area is approximately 3,700 square km (1,100 square nm) in size and was subdivided into 18 quadrangles. Several series of sea floor maps of the region based on multibeam sonar surveys have been published. In addition, 2,628 seabed sediment samples were collected and analyzed and approximately 10,600 still photographs of the seabed were acquired during the project. These data provide the basis for scientists, policymakers, and managers for understanding the complex ecosystem of the sanctuary region and for monitoring and managing its economic and natural resources.

  5. a

    FDIC Insured Banks

    • sdgs.amerigeoss.org
    • disasters-geoplatform.hub.arcgis.com
    • +4more
    Updated Jun 29, 2018
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    GeoPlatform ArcGIS Online (2018). FDIC Insured Banks [Dataset]. https://sdgs.amerigeoss.org/maps/geoplatform::fdic-insured-banks/about
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    Dataset updated
    Jun 29, 2018
    Dataset authored and provided by
    GeoPlatform ArcGIS Online
    Area covered
    Description

    The annual Summary of Deposits (SOD) survey data provides a number of opportunities to better understand the status of our banking system. With the holistic aggregations of the Summary Tables, the geographically sensitive Market Share Reports, and the institution-centric Branch Office Deposits, you will be able to see a clear view of where the deposits are and how they changed over time. The Summary of Deposits (SOD) application will be discontinued by the end of 2024. A new and improved SOD application is being developed and is available for preview now. Explore the latest beta version of the application https://banks.data.fdic.gov/bankfind-suite/SOD. The Deposit Market Share is the percentage of deposits an FDIC-insured institution has within a defined geographic market. This data is based on the annual Summary of Deposits (SOD) survey for FDIC-insured institutions as of June 30. The Deposit Market Share and the Pro Forma (HHI) Reports provide information for all institutions within a specific geographic market for a specific time period. The Market Presence and Growth Rate Reports provide similar information, but from the perspective of one institution. All reports provide data back to 1994 and are available by institution or bank holding company.

  6. l

    Banking and Finance

    • visionzero.geohub.lacity.org
    • geohub.lacity.org
    • +1more
    Updated Nov 17, 2015
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    lahub_admin (2015). Banking and Finance [Dataset]. https://visionzero.geohub.lacity.org/maps/lahub::banking-and-finance
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    Dataset updated
    Nov 17, 2015
    Dataset authored and provided by
    lahub_admin
    License

    Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
    License information was derived automatically

    Area covered
    Description

    Locations for banking and finance in Los Angeles CountyThis dataset is maintained through the County of Los Angeles Location Management System. The Location Management System is used by the County of Los Angeles GIS Program to maintain a single, comprehensive geographic database of locations countywide. For more information on the Location Management System, visit http://egis3.lacounty.gov/lms/.

  7. CDFW Approved Mitigation Service Areas [ds2659]

    • catalog.data.gov
    • data.ca.gov
    • +4more
    Updated Nov 27, 2024
    + more versions
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    California Department of Fish and Wildlife (2024). CDFW Approved Mitigation Service Areas [ds2659] [Dataset]. https://catalog.data.gov/dataset/cdfw-approved-mitigation-service-areas-ds2659-7dae7
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    Description

    This data set is of service areas for mitigation and conservation banks for which the California Department of Fish and Wildlife is a signatory. It does not include service areas for banks which are approved only Federally or for credits for species for which the Department does not require mitigation. All data, including boundaries and species covered and should be verified with the bank sponsor prior to making any decisions based on this data set. The contact information for the bank sponsor can be found at https://wildlife.ca.gov/conservation/planning/banking/approved-banks. Please look at the "Comment" field for important information regarding individual Service Area limitations. A Conservation or Mitigation Bank is privately or publicly owned land managed for its natural resource values. In exchange for permanently protecting, managing, and monitoring the land, the bank sponsor is allowed to sell or transfer habitat credits to perrmitees who need to satisfy legal requirements and compensate for the environmental impacts of developmental projects.Conservation (Endangered Species) BankingA conservation bank generally protects threatened and endangered species and habitat. Credits are established for the specific sensitive species that occur on the site. Conservation banks help to consolidate small, fragmented sensitive species compensation projects into large contiguous preserves which have much higher wildlife habitat values. Other agencies that typically participate in the regulation and approval of conservation banks are the U.S. Fish and Wildlife Service and National Oceanic and Atmospheric Administration-National Marine Fisheries Service.Mitigation (Wetlands) BankingA mitigation bank protects, restores, creates, and enhances wetland habitats. Credits are established to compensate for unavoidable wetland losses. Use of mitigation bank credits must occur in advance of development, when the compensation cannot be achieved at the development site or would not be

  8. d

    Non-Depository Banks

    • catalog.data.gov
    • opendata.dc.gov
    • +5more
    Updated Feb 4, 2025
    + more versions
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    Department of Insurance Securities and Banking (2025). Non-Depository Banks [Dataset]. https://catalog.data.gov/dataset/non-depository-banks
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    Dataset updated
    Feb 4, 2025
    Dataset provided by
    Department of Insurance Securities and Banking
    Description

    The dataset contains locations and attributes of Non-Depository Licensed Branch locations provided by the Department of Insurance, Securities and Banking (DISB).

  9. L

    Location Analysis Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 15, 2025
    + more versions
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    Archive Market Research (2025). Location Analysis Report [Dataset]. https://www.archivemarketresearch.com/reports/location-analysis-58429
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Location Analysis market is experiencing robust growth, driven by the increasing adoption of location-based services across diverse sectors. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated value of $45 billion by 2033. This expansion is fueled by several key factors. The burgeoning adoption of IoT devices and the exponential growth of location data are significantly contributing to this market's expansion. Furthermore, the increasing need for real-time location intelligence in sectors like transportation and logistics, retail, and financial services is driving demand for sophisticated location analysis solutions. Advanced analytics capabilities, including predictive modeling and machine learning, are enhancing the value proposition of these solutions, enabling businesses to make more informed decisions based on precise location-based insights. The market segmentation reflects this breadth of application, with Banking and Financial Services, Medical and Life Sciences, and Telecommunications and Information Technology leading the way in adoption. The growth is also geographically diverse, with North America and Europe currently dominating the market, followed by a rapidly expanding Asia-Pacific region. However, challenges remain. Data privacy concerns and the complexity of integrating location data from various sources continue to pose obstacles for market growth. Overcoming these challenges will require robust data governance frameworks and the development of user-friendly, scalable solutions. The increasing availability of open-source location data and the development of more sophisticated analytical tools, however, are mitigating these challenges and driving further innovation. The competitive landscape is fiercely contested, with major technology companies and specialized location analytics providers vying for market share. This competition is likely to further stimulate innovation and drive down costs, ultimately benefiting end-users across various industries. The ongoing evolution of location technologies, coupled with the growing reliance on location data across sectors, promises sustained growth for the Location Analysis market in the coming years.

  10. e

    Seabed video GIS data from Anton Dohrn and East Rockall Bank

    • data.europa.eu
    • data.wu.ac.at
    esri shape
    Updated Oct 11, 2021
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    Joint Nature Conservation Committee (2021). Seabed video GIS data from Anton Dohrn and East Rockall Bank [Dataset]. https://data.europa.eu/data/datasets/seabed-video-gis-data-from-anton-dohrn-and-east-rockall-bank?locale=en
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    esri shapeAvailable download formats
    Dataset updated
    Oct 11, 2021
    Dataset authored and provided by
    Joint Nature Conservation Committee
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Area covered
    Rockall
    Description

    Seabed video GIS data from Anton Dohrn and East Rockall Bank (2009_07-RVFranklin-AntonDhorn-RockallBank). The cruise 2009_03_MV_Franklin Surveyed two Areas of Search for offshore SACs Anton Dohrn and East Rockall Bank. The main aims of the survey were to acquire acoustic and photographic ground-truthing data to enable geological, geomorphological and biological characterisation of the Anton Dohrn Seamount and East Rockall Bank AoS

  11. A

    African Development Bank Project Report

    • data.amerigeoss.org
    • sdgs.amerigeoss.org
    • +1more
    esri rest, html
    Updated Oct 26, 2015
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    AmeriGEO ArcGIS (2015). African Development Bank Project Report [Dataset]. https://data.amerigeoss.org/dataset/african-development-bank-project-report
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    html, esri restAvailable download formats
    Dataset updated
    Oct 26, 2015
    Dataset provided by
    AmeriGEO ArcGIS
    Description

    To create this app:

    1. Make a map of the AfDB projects CSV file in the Training Materials group.
      1. Download the CSV file, click Map (at the top of the page), and drag and drop the file onto your map
      2. From the layer menu on your Projects layer choose Change Symbols and show the projects using Unique Symbols and the Status of field.
    2. Make a second map of the AfDB projects shown using Unique Symbols and the Sector field.
      • HINT: Create a copy of your first map using Save As... and modify the copy.
    3. Assemble your story map on the Esri Story Maps website
      1. Go to storymaps.arcgis.com
      2. At the top of the site, click Apps
      3. Find the Story Map Tabbed app and click Build a Tabbed Story Map
      4. Follow the instructions in the app builder. Add the maps you made in previous steps and copy the text from this sample app to your app. Explore and experiment with the app configuration settings.
    =============

    OPTIONAL - Make a third map of the AFDB projects summarized by country and add it to your story map.
      1. Add the World Countries layer to your map (Add > Search for Layers)
      2. From the layer menu on your Projects layer choose Perform Analysis > Summarize Data > Aggregate Points and run the tool to summarize the projects in each country.
        • HINT: UNCHECK "Keep areas with no points"
      3. Experiment with changing the symbols and settings on your new layer and remove other unnecessary layers.
      4. Save AS... a new map.
      5. At the top of the site, click My Content.
      6. Find your story map application item, open its Details page, and click Configure App.
      7. Use the builder to add your third map and a description to the app and save it.

  12. f

    Data from: UAV-based remote sensing of immediate changes in geomorphology...

    • tandf.figshare.com
    pdf
    Updated May 30, 2023
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    Aleksandra M. Tomczyk; Marek W. Ewertowski (2023). UAV-based remote sensing of immediate changes in geomorphology following a glacial lake outburst flood at the Zackenberg river, northeast Greenland [Dataset]. http://doi.org/10.6084/m9.figshare.12108642.v1
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    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Aleksandra M. Tomczyk; Marek W. Ewertowski
    License

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

    Area covered
    Zackenberg
    Description

    Two detailed geomorphological maps (1:2000) depicting landscape changes as a result of a glacial lake outburst flood were produced for the 2.1-km-long section of the Zackenberg river, NE Greenland. The maps document the riverscape before the flood (5 August 2017) and immediately after the flood (8 August 2017), illustrating changes to the riverbanks and morphology of the channel. A series of additional maps (1:800) represent case studies of different types of riverbank responses, emphasising the importance of the lateral thermo-erosion and bank collapsing as significant immediate effects of the flood. The average channel width increased from 40.75 m pre-flood to 44.59 m post-flood, whereas the length of active riverbanks decreased from 1729 to 1657 m. The new deposits related to 2017 flood covered 93,702 m2. The developed maps demonstrated the applicability of small Unmanned Aerial Vehicles (UAVs) for investigating the direct effects of floods, even in the harsh Arctic environment.

  13. t

    Bank Protections - Open Data

    • gisdata.tucsonaz.gov
    Updated Aug 14, 2018
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    City of Tucson (2018). Bank Protections - Open Data [Dataset]. https://gisdata.tucsonaz.gov/datasets/bank-protections-open-data
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    Dataset updated
    Aug 14, 2018
    Dataset authored and provided by
    City of Tucson
    Area covered
    Description

    Bank protection in the City of Tucson maintained by the Pima County Regional Flood Control District. It is from AutoCAD drawing and displays all drainage features from drainage plans, construction plans and bridge plans.PurposeLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Dataset ClassificationLevel 0 - OpenKnown UsesLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Known ErrorsLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Data ContactLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Update FrequencyLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

  14. s

    Ghana - Average Global Horizontal (GHI) GIS Data (2015)

    • searchworks.stanford.edu
    zip
    Updated Jul 16, 2021
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    (2021). Ghana - Average Global Horizontal (GHI) GIS Data (2015) [Dataset]. https://searchworks.stanford.edu/view/tg763tn5652
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    zipAvailable download formats
    Dataset updated
    Jul 16, 2021
    Area covered
    Ghana
    Description

    Data of high resolution (10kmx10km) Global Horizontal Irradiance (GHI) for Ghana for the years 2000, 2001 and 2002. The data are available for monthly and annual sums stored in a ESRI-Shapefile. The data are helpful for the assessment of the solar potential of the country and can give project developer a first impression of the solar resource of the country. Citation: DLR & Negawatt challenge.

  15. M

    Mitigation Banking Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 5, 2025
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    Data Insights Market (2025). Mitigation Banking Report [Dataset]. https://www.datainsightsmarket.com/reports/mitigation-banking-1961128
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    May 5, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The mitigation banking market is experiencing robust growth, driven by increasing regulatory pressure to offset wetland and habitat loss from development projects. The market's value, while not explicitly stated, can be reasonably estimated based on typical growth rates in environmentally focused sectors. Considering a plausible market size of $5 billion in 2025 and a CAGR of, for example, 8%, the market is projected to reach significant value within the forecast period (2025-2033). Key drivers include stringent environmental regulations, particularly in North America and Europe, coupled with a rising awareness of biodiversity conservation. The construction and mining sectors are major consumers of mitigation banking services, followed by transportation and energy & utilities, reflecting the significant ecological footprint of these industries. Emerging trends point towards a greater emphasis on ecosystem restoration, incorporating innovative technologies for monitoring and verification of mitigation projects. This involves increased use of remote sensing, GIS, and advanced data analytics for precise assessments and long-term monitoring of ecological health. However, the market also faces significant restraints. High upfront costs associated with creating and maintaining mitigation banks can deter participation from smaller developers. Furthermore, complexities in regulatory approvals and permitting processes can significantly delay projects and increase costs, hindering market expansion. The segmentation by application (Construction & Mining, Transportation, etc.) and type (Wetland, Stream, Forest, etc.) reveals a diverse market landscape, with significant regional variations. North America is currently the largest market due to well-established regulations and a high volume of development projects, but regions like Asia-Pacific are expected to show considerable growth in the coming years as environmental regulations strengthen and economies continue to expand. This presents opportunities for expansion and diversification within the sector for established players and new entrants alike. The ongoing focus on sustainable development practices and increased investor interest in ESG (Environmental, Social, and Governance) initiatives will likely propel the growth trajectory of the mitigation banking market in the coming decade.

  16. Ethiopia - GIS Dataset

    • cloud.csiss.gmu.edu
    • data.amerigeoss.org
    • +1more
    zip
    Updated Jun 13, 2019
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    World Bank (2019). Ethiopia - GIS Dataset [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/ethiopia-gis-dataset
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    zipAvailable download formats
    Dataset updated
    Jun 13, 2019
    Dataset provided by
    World Bankhttp://worldbank.org/
    License

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

    Area covered
    Ethiopia
    Description

    This dataset includes rivers, towns, lakes, basins and demographic and climate indicators.

  17. Bank Swallow Range - CWHR B342 [ds606]

    • data.cnra.ca.gov
    • data.ca.gov
    • +6more
    Updated Nov 2, 2023
    + more versions
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    California Department of Fish and Wildlife (2023). Bank Swallow Range - CWHR B342 [ds606] [Dataset]. https://data.cnra.ca.gov/dataset/bank-swallow-range-cwhr-b342-ds606
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    zip, geojson, arcgis geoservices rest api, html, kml, csvAvailable download formats
    Dataset updated
    Nov 2, 2023
    Dataset authored and provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    License

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

    Description

    Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for California's wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR" STYLE="text-decoration:underline;">https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.

  18. Madagscar - Small Hydro GIS Atlas

    • cloud.csiss.gmu.edu
    • data.amerigeoss.org
    geojson, zip
    Updated Jun 13, 2019
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    World Bank (2019). Madagscar - Small Hydro GIS Atlas [Dataset]. http://cloud.csiss.gmu.edu/uddi/bg/dataset/madagscar-small-hydro-gis-atlas-2017
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    geojson, zipAvailable download formats
    Dataset updated
    Jun 13, 2019
    Dataset provided by
    World Bankhttp://worldbank.org/
    License

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

    Description

    The GIS HydroAtlas of Madagascar is the final output from the small hydro resource mapping component of the activity “ Renewable Energy Resource Mapping and Geospatial Planning – Madagascar” [Project ID: P145350]. You can find more information about the project here: https://www.esmap.org/re_mapping_madagascar Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Madagascar Small Hydro GIS Atlas, 2017, https://energydata.info/dataset/madagscar-small-hydro-gis-atlas-2017"

  19. d

    ATM Banking

    • catalog.data.gov
    • opendata.dc.gov
    • +3more
    Updated May 28, 2025
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    City of Washington, DC (2025). ATM Banking [Dataset]. https://catalog.data.gov/dataset/atm-banking
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    Dataset updated
    May 28, 2025
    Dataset provided by
    City of Washington, DC
    Description

    The Chief Technology Office (OCTO) has captured the majority of ATM banking locations in the District of Columbia.

  20. f

    African Banks Island Exposed Reefs

    • data.apps.fao.org
    Updated Apr 28, 2021
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    (2021). African Banks Island Exposed Reefs [Dataset]. https://data.apps.fao.org/map/catalog/sru/search?keyword=Environment
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    Dataset updated
    Apr 28, 2021
    Description

    This is a vector layer of African Banks Island's exposed reefs. The African bank layer was created by the Centre for GIS.

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Caliper Corporation (2024). Banking Data [Dataset]. https://www.caliper.com/mapping-software-data/bank-credit-union-data.htm
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Data from: Banking Data

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kml, geojson, kmz, cdf, shp, dxf, ntf, dwg, sql server mssql, gdb, sdo, postgis, postgresqlAvailable download formats
Dataset updated
Sep 18, 2024
Dataset authored and provided by
Caliper Corporationhttp://www.caliper.com/
License

https://www.caliper.com/license/maptitude-license-agreement.htmhttps://www.caliper.com/license/maptitude-license-agreement.htm

Time period covered
2024
Area covered
United States
Description

Free layers of bank and credit union data for the United States are available for use with GIS mapping software, databases, and web applications.

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