100+ datasets found
  1. d

    Bank Locations

    • catalog.data.gov
    • opendata.dc.gov
    • +4more
    Updated May 7, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Washington, DC (2025). Bank Locations [Dataset]. https://catalog.data.gov/dataset/bank-locations
    Explore at:
    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.

  2. d

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

    • search.dataone.org
    • data.usgs.gov
    • +3more
    Updated Feb 1, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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
    Explore at:
    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.

  3. c

    Conservation and Mitigation Banks [ds2782] GIS Dataset

    • map.dfg.ca.gov
    Updated Feb 8, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). Conservation and Mitigation Banks [ds2782] GIS Dataset [Dataset]. https://map.dfg.ca.gov/metadata/ds2782.html?5.76.22
    Explore at:
    Dataset updated
    Feb 8, 2024
    Description

    CDFW BIOS GIS Dataset, Contact: Diane Mastalir, Description: This data set is of locations for opan mitigation and conservation banks for which the California Department of Fish and Wildlife is a signatory. It does not include locations for banks which are approved only Federally or for credits for species for which the Department does not require mitigation. All data, including species and habitats covered, are draft and should be verified with the bank sponsor prior to making any decisions based on this data set.

  4. Data from: Banking Data

    • caliper.com
    cdf, dwg, dxf, gdb +9
    Updated Sep 23, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Caliper Corporation (2025). Banking Data [Dataset]. https://www.caliper.com/mapping-software-data/bank-credit-union-data.htm
    Explore at:
    kml, geojson, kmz, cdf, shp, dxf, ntf, dwg, sql server mssql, gdb, sdo, postgis, postgresqlAvailable download formats
    Dataset updated
    Sep 23, 2025
    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
    2025
    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.

  5. Seabed video GIS data from Anton Dohrn and East Rockall Bank - Dataset -...

    • ckan.publishing.service.gov.uk
    Updated Feb 4, 2016
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ckan.publishing.service.gov.uk (2016). Seabed video GIS data from Anton Dohrn and East Rockall Bank - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/seabed-video-gis-data-from-anton-dohrn-and-east-rockall-bank
    Explore at:
    Dataset updated
    Feb 4, 2016
    Dataset provided by
    CKANhttps://ckan.org/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    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

  6. Digital Geomorphic-GIS Map of the Shackleford Banks Area, North Carolina...

    • catalog.data.gov
    • datasets.ai
    Updated Nov 14, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Park Service (2025). Digital Geomorphic-GIS Map of the Shackleford Banks Area, North Carolina (1:24,000 scale 2008 mapping) (NPS, GRD, GRI, CALO, SHBK_geomorphology digital map) adapted from North Carolina Geological Survey unpublished digital data and maps by Coffey and Nickerson (2008) [Dataset]. https://catalog.data.gov/dataset/digital-geomorphic-gis-map-of-the-shackleford-banks-area-north-carolina-1-24000-scale-2008
    Explore at:
    Dataset updated
    Nov 14, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Shackleford Banks, North Carolina
    Description

    The Digital Geomorphic-GIS Map of the Shackleford Banks Area, North Carolina (1:24,000 scale 2008 mapping) is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (shbk_geomorphology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (shbk_geomorphology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (calo_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (calo_geomorphology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (shbk_geomorphology_metadata_faq.pdf). Please read the calo_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: North Carolina Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (shbk_geomorphology_metadata.txt or shbk_geomorphology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

  7. o

    National Neighborhood Data Archive (NaNDA): Post Offices and Banks by Census...

    • openicpsr.org
    Updated Aug 7, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Robert Melendez; Jessica Finlay; Philippa Clarke; Grace Noppert; Lindsay Gypin; Ellis Dyke (2024). National Neighborhood Data Archive (NaNDA): Post Offices and Banks by Census Tract and ZCTA, United States, 1990-2021 [Dataset]. http://doi.org/10.3886/E208366V1
    Explore at:
    Dataset updated
    Aug 7, 2024
    Dataset provided by
    University of Michigan. Institute for Social Research
    University of Colorado-Boulder. Department of Geography and Institute of Behavioral Science
    Authors
    Robert Melendez; Jessica Finlay; Philippa Clarke; Grace Noppert; Lindsay Gypin; Ellis Dyke
    License

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

    Time period covered
    Jan 1, 1990 - Dec 31, 2021
    Area covered
    District of Columbia, North Dakota, Delaware, Oklahoma, Kansas, Minnesota, Maine, United States, Arizona, Mississippi
    Description

    This dataset contains measures of the number and density of post offices and banks per United States Census Tract or ZIP Code Tabulation Area (ZCTA) from 1990 through 2021. The dataset includes four separate files for four different geographic areas (GIS shapefiles from the United States Census Bureau). The four geographies include: Census Tract 2010 Census Tract 2020 ZIP Code Tabulation Area (ZCTA) 2010 ZIP Code Tabulation Area (ZCTA) 2020Information about which dataset to use can be found in the Usage Notes section of this document.

  8. a

    Banks

    • gis-bradd-ky.opendata.arcgis.com
    Updated Apr 22, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Barren River Area Development District (2022). Banks [Dataset]. https://gis-bradd-ky.opendata.arcgis.com/datasets/banks
    Explore at:
    Dataset updated
    Apr 22, 2022
    Dataset authored and provided by
    Barren River Area Development District
    Area covered
    Description

    This feature service contains bank locations in the Barren River region of Kentucky.Last updated April 2022

  9. Seabed still images logs and GIS from Solan Bank Reef - Dataset -...

    • ckan.publishing.service.gov.uk
    Updated Jul 7, 2016
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ckan.publishing.service.gov.uk (2016). Seabed still images logs and GIS from Solan Bank Reef - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/seabed-still-images-logs-and-gis-from-solan-bank-reef
    Explore at:
    Dataset updated
    Jul 7, 2016
    Dataset provided by
    CKANhttps://ckan.org/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Seabed still images logs and GIS from the from Solan Bank Reef cSAC/SCI survey, which was planned with the aim of informing development of a national indicator of ‘Good Environmental Status’ focusing on sponge morphology, as part of the UK’s obligations under the Marine Strategy Framework Directive (MSFD).

  10. c

    CDFW Approved Mitigation Service Areas [ds2659] GIS Dataset

    • map.dfg.ca.gov
    Updated Feb 8, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). CDFW Approved Mitigation Service Areas [ds2659] GIS Dataset [Dataset]. https://map.dfg.ca.gov/metadata/ds2659.html
    Explore at:
    Dataset updated
    Feb 8, 2024
    Description

    CDFW BIOS GIS Dataset, Contact: Diane Mastalir, Description: This Mitigation Bank Service Area Dataset was created to depict mitigation and conservation bank credit service areas spatially for analysis and mapping. These data are DRAFT and may contain errors and/or omissions.

  11. d

    American Recovery and Reinvestment Act 2009 Section 110 Compliance Report...

    • search.dataone.org
    Updated Aug 7, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Heilen, Michael (Statistical Research, Inc); Mayer, James; Leckman, Phillip O.; Phillips, Shaun; Riddle, David (2017). American Recovery and Reinvestment Act 2009 Section 110 Compliance Report for the U.S. Army Corps of Engineers, Omaha District, NHPA, Cultural Resources Investigations, Technical Report No. 26, Geographic Information Systems and Bank-Recession Modeling along the Missouri River Reservoir System [Dataset]. http://doi.org/10.6067/XCV8DN476J
    Explore at:
    Dataset updated
    Aug 7, 2017
    Dataset provided by
    the Digital Archaeological Record
    Authors
    Heilen, Michael (Statistical Research, Inc); Mayer, James; Leckman, Phillip O.; Phillips, Shaun; Riddle, David
    Area covered
    Description

    Between July 20 and September 3, 2010, Statistical Research, Inc. (SRI), conducted geomorphic investigations of a sample of reservoir banks located on U.S. Army Corps of Engineers (USACE) fee-title land around three reservoirs administered by the USACE, Omaha District (NWO): Lake Sakakawea in North Dakota, Lake Oahe in North and South Dakota, and Lake Francis Case in South Dakota. SRI investigated a total of 105 field stations in order to develop field data in support of operationalizing in a geographic information system (GIS) an existing geomorphic model for predicting bank recession. As requested, the model variables and equations were operationalized in a GIS and evaluated for each of the three lakes by SRI and their subcontractor Miratek Corporation.

  12. l

    Banking and Finance

    • visionzero.geohub.lacity.org
    • geohub.lacity.org
    • +2more
    Updated Nov 17, 2015
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    lahub_admin (2015). Banking and Finance [Dataset]. https://visionzero.geohub.lacity.org/datasets/banking-and-finance
    Explore at:
    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/.

  13. w

    Medusa Banks 1:250 000 GIS Dataset

    • data.wu.ac.at
    • researchdata.edu.au
    kml, shp, zip
    Updated Jun 26, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2018). Medusa Banks 1:250 000 GIS Dataset [Dataset]. https://data.wu.ac.at/schema/data_gov_au/YmJkYzdmOGQtMTY3Yy00YTg5LWJmNDAtODI0ZGZkM2I2YmI2
    Explore at:
    kml, zip, shpAvailable download formats
    Dataset updated
    Jun 26, 2018
    License

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

    Area covered
    c96d00251d5f004ec801eec4582937c3929a0304
    Description

    This data is part of the series of maps that covers the whole of Australia at a scale of 1:250 000 (1cm on a map represents 2.5km on the ground) and comprises 513 maps. This is the largest scale at which published topographic maps cover the entire continent. Data is downloadable in various distribution formats.

  14. c

    Banks

    • data.clevelandohio.gov
    • hub.arcgis.com
    Updated Aug 16, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Cleveland | GIS (2022). Banks [Dataset]. https://data.clevelandohio.gov/datasets/banks
    Explore at:
    Dataset updated
    Aug 16, 2022
    Dataset authored and provided by
    Cleveland | GIS
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description

    TO VIEW AND DOWNLOAD THE ACTUAL DATA, CLICK ON ONE OF THE LAYERS BELOW DescriptionVersion 6 Location data for the 15 Minute Neighborhood analysis corresponding 15 Minute City Index . These are various amenities and points of interest that City Planning collected city-wide. Using these locations, City Planning generated appropriate walksheds (how far you can walk within a certain time) that were then used in our 15 Minute City model that combines all walksheds into a weighted score of "access". The animation below demonstrates how all the different locations are combined according to weight to create a total index score. The higher the score, the more services, amenities, and stores someone can walk to from that point. This indicates what is nearby but we understand there are many other factors that affect "walkability", like urban design, safety, culture, street design, and more.This work is preliminary and in development. City Planning assumes no liability regarding accuracy or usage of this information.This data is a work in progress that City Planning is using for exploratory planning research, and not an authoritative collection of all locations. This dataset is featured on the following app(s):15-Minute City Planning Introduction Story MapUpdate FrequencyAnnually ContactsCleveland City Planning Commission, Strategic Initiativescityplanning@clevelandohio.gov

  15. t

    Bank Protections - Open Data

    • gisdata.tucsonaz.gov
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Aug 14, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Tucson (2018). Bank Protections - Open Data [Dataset]. https://gisdata.tucsonaz.gov/datasets/bank-protections-open-data
    Explore at:
    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.

  16. a

    Banks

    • hub.arcgis.com
    • data-jeffco-al.opendata.arcgis.com
    Updated Apr 9, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    JeffersonCountyALgis (2018). Banks [Dataset]. https://hub.arcgis.com/maps/jeffco-al::banks
    Explore at:
    Dataset updated
    Apr 9, 2018
    Dataset authored and provided by
    JeffersonCountyALgis
    License

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

    Area covered
    Description

    Jefferson County Banks location information data. Published via ArcServer for Open Data portal. Project document location: \gis-gis\gis\library\ESRI\services1041\OpenData\Banks.mxd

  17. Digital Geomorphic-GIS Map of the South Core Banks Area, North Carolina...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Nov 11, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Park Service (2025). Digital Geomorphic-GIS Map of the South Core Banks Area, North Carolina (1:24,000 scale 2008 mapping) (NPS, GRD, GRI, CALO, SCBK_geomorphology digital map) adapted from North Carolina Geological Survey unpublished digital data and maps by Coffey and Nickerson (2008) [Dataset]. https://catalog.data.gov/dataset/digital-geomorphic-gis-map-of-the-south-core-banks-area-north-carolina-1-24000-scale-2008-
    Explore at:
    Dataset updated
    Nov 11, 2025
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    South Core Banks, North Carolina
    Description

    The Digital Geomorphic-GIS Map of the South Core Banks Area, North Carolina (1:24,000 scale 2008 mapping) is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (scbk_geomorphology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (scbk_geomorphology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (calo_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (calo_geomorphology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (scbk_geomorphology_metadata_faq.pdf). Please read the calo_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: North Carolina Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (scbk_geomorphology_metadata.txt or scbk_geomorphology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

  18. Seabed video transects GIS data from East Rockall Bank SAC - Dataset -...

    • ckan.publishing.service.gov.uk
    Updated Feb 21, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ckan.publishing.service.gov.uk (2019). Seabed video transects GIS data from East Rockall Bank SAC - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/seabed-video-transects-gis-data-from-east-rockall-bank-sac
    Explore at:
    Dataset updated
    Feb 21, 2019
    Dataset provided by
    CKANhttps://ckan.org/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    Rockall
    Description

    Seabed video transects GIS data from East Rockall Bank SAC (1113S). One objective of this Marine Scotland Science fisheries cruise 1113S was to map the seabed habitats and coral reef using a towed VMUX chariot video system. The seabed video data consisted of four tows which were conducted at night at East Rockall Bank SAC (then cSAC).

  19. Indonesia - Small Hydro GIS Database

    • cloud.csiss.gmu.edu
    • energydata.info
    • +2more
    geojson, zip
    Updated Jun 13, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    World Bank (2019). Indonesia - Small Hydro GIS Database [Dataset]. https://cloud.csiss.gmu.edu/uddi/mk/dataset/indonesia-small-hydro-gis-database-2017
    Explore at:
    zip, geojsonAvailable download formats
    Dataset updated
    Jun 13, 2019
    Dataset provided by
    World Bankhttp://topics.nytimes.com/top/reference/timestopics/organizations/w/world_bank/index.html
    License

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

    Area covered
    Indonesia
    Description

    The GIS database has been developed by under the Small Hydropower Mapping and Improved Geospatial Electrification Planning in Indonesia Project [Project ID: P145273]. The scope of the project was to facilitate and improve the planning and investment process for small hydro development both grid and isolated systems through: building up a central database on smal hydro at national scale and validating the mapping of small hydro in NTT, Maluku, Maluku Utara and Sulawesi improved electrification planning by integrating small hydro potential for the provinces of NTT, Maluku, Maluku Utara and Sulawesi into the planning process. Please refer to the country project page for additional outputs and reports: http://esmap.org/re_mapping_indonesia The GIS database contains the following datasets: SHP(promising sites) Admin Divisions Topomas_grid Rivers, Geology Forest_areas Roads RainfallGauges RunoffGauges ElectricSystem, each accompanied by a metadata file. 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: Indonesia Small Hydro GIS Atlas, 2017, https://energydata.info/dataset/indonesia-small-hydro-gis-database-2017"

  20. L

    Location Analysis Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Archive Market Research (2025). Location Analysis Report [Dataset]. https://www.archivemarketresearch.com/reports/location-analysis-58429
    Explore at:
    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 booming, projected to reach $45 billion by 2033 with a 15% CAGR. Discover key trends, drivers, and restraints shaping this dynamic industry across sectors like banking, healthcare, and retail. Explore regional market share and leading companies in this insightful market analysis.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
City of Washington, DC (2025). Bank Locations [Dataset]. https://catalog.data.gov/dataset/bank-locations

Bank Locations

Explore at:
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.

Search
Clear search
Close search
Google apps
Main menu