93 datasets found
  1. a

    Master Well Inventory

    • kgs-gis-data-and-maps-ku.hub.arcgis.com
    • hub.kansasgis.org
    Updated Dec 9, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    The University of Kansas (2024). Master Well Inventory [Dataset]. https://kgs-gis-data-and-maps-ku.hub.arcgis.com/datasets/master-well-inventory
    Explore at:
    Dataset updated
    Dec 9, 2024
    Dataset authored and provided by
    The University of Kansas
    Area covered
    Description

    The Kansas Master Ground-water Well Inventory (MWI) is a central repository that imports and links together the State's primary ground-water well data sets- KDHE's WWC5, KDA-DWR's WIMAS, and KGS' WIZARD into a single, online source. The most "accurate" of the common source fields are used to represent the well sites, for example- GPS coordinates if available are used over other methods to locate a well. The MWI maintains the primary identification tags to allow specific well records to be linked back to the original data sources.This data is compiled by the Kansas Geological Survey. For more information, please see the Groundwater Master Well Inventory page.

  2. US Fish and Wildlife Service Corporate Master Table (CMT)

    • share-open-data-njtpa.hub.arcgis.com
    • hub.arcgis.com
    • +2more
    Updated Oct 15, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    GeoPlatform ArcGIS Online (2024). US Fish and Wildlife Service Corporate Master Table (CMT) [Dataset]. https://share-open-data-njtpa.hub.arcgis.com/datasets/geoplatform::us-fish-and-wildlife-service-corporate-master-table-cmt
    Explore at:
    Dataset updated
    Oct 15, 2024
    Dataset provided by
    Authors
    GeoPlatform ArcGIS Online
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    The U.S. Fish and Wildlife Service Corporate Master Table (CMT) is the official source of Service organization codes and related information. Information in the CMT includes, but is not limited to, organization codes, organization names, Federal Budget Management System (FBMS), cost center codes, fire unit identifiers, program names, mailing and physical/shipping addresses, telephone and fax numbers as well as latitude and longitude coordinates. The CMT enables all Service automated systems to utilize a corporate data set of known quality, eliminating the workload required to maintain each system's data set, and thereby facilitating data sharing. Other customers for the CMT are Service personnel who maintain directories, communicate with Congress and with the Public, maintain World Wide Web sites, etc. These spatial data were created using the information in the CMT. The CMT contains location information on all the offices within the Service that have an organization code. Unstaffed offices and some other facilities may not be included. The latitude and longitude points used are usually the location of the main administrative site. The latitude and longitude data is not completely verified but is the best we have at this time. This data set is intended to give an overview of where USFWS has stations across the United States and Territories, including locations outside the 50 states. It is not intended to be the exact location of every USFWS office. The CMT is primarily used for accounting purposes and therefore one location in the CMT can represent many different offices. Some points are duplicates where a station, most usually an Ecological Field Office, may be associated with more than one USFWS program. This data is updated from an internal authoritative source every night at 2:30am EST.For a direct link to the official Enterprise Geospatial dataset and metadata: https://ecos.fws.gov/ServCat/Reference/Profile/60076.Dataset contact: fwsgis@fws.gov

  3. g

    Digital Bedrock Geologic-GIS Map of Minuteman National Historical Site and...

    • gimi9.com
    • catalog.data.gov
    Updated Jun 5, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). Digital Bedrock Geologic-GIS Map of Minuteman National Historical Site and Vicinity, Massachusetts (NPS, GRD, GRI, MIMA, mima bedrock digital map) adapted from a Boston College Master's Thesis map by Langford and Hepburn (2007), a U.S. Geological Survey Bulletin map by Hansen (1956) and a U.S. Geological Survey Open-File Report map by Stone and Stone (2006) [Dataset]. https://gimi9.com/dataset/data-gov_digital-bedrock-geologic-gis-map-of-minuteman-national-historical-site-and-vicinity-massac
    Explore at:
    Dataset updated
    Jun 5, 2024
    Area covered
    Boston
    Description

    The Digital Bedrock Geologic-GIS Map of Minuteman National Historical Site and Vicinity, Massachusetts is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (mima_bedrock_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (mima_bedrock_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 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.) this file (mima_geology.gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (mima_geology.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 (mima_bedrock_geology_metadata_faq.pdf). Please read the mima_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: http://www.google.com/earth/index.html. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. 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: 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: Boston College and U.S. 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 (mima_bedrock_geology_metadata.txt or mima_bedrock_geology_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) 25.4 meters or 83.3 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 Google Earth, ArcGIS, 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).

  4. d

    Master Address File (MAF)

    • catalog.data.gov
    • data.amerigeoss.org
    • +1more
    Updated Dec 19, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Seattle GIS Program (2018). Master Address File (MAF) [Dataset]. https://catalog.data.gov/bg/dataset/master-address-file-maf
    Explore at:
    Dataset updated
    Dec 19, 2018
    Dataset provided by
    City of Seattle GIS Program
    Description

    Displays citywide address points using TRANSPO.MAFDAP_PV. Differs from TRANSPO.DAP in that it contains address data. Attributes include house number and modifier, directional, street name, and street type. Does not display when zoomed out beyond 1:10,000. Labels are based on the attribute MAF_HSENUMMOD and do not display when zoomed out beyond 1:3,000. ATTRIBUTE INFORMATION: MAILUSECODE ? Identifies suitability of MAF address and associated MAFUNIT record(s) for use as a mailing address. This field serves as an indicator whether the address is being utilized in the City?s Utility Billing System. If so, it is more likely (but still not guaranteed) to be a valid mailing address. DCLUSTAT - Description of address establishment and validation status related to DCLU business process. Valid values: ?INITIAL VALUE? ? SPU-added records are assigned this value upon creation. ?DRAFT? ? only DPD-added records are assigned this value upon creation. ?FIELD VERIFIED? ? only DPD can assign this value. Indicates that DPD at some point conducted a site visit. This value is not reliably assigned and is not necessarily an indicator of a correct address. ?CANCELED? ? only DPD can assign this value. The address was never utilized. ?RETIRED? ? DPD or SPU can assign this value. The address may have been utilized for some period of time but was then replaced by a different address for the location or retired from use completely. DCLUSTATDT - Date of creation or modification of record. SOURCENAME - Descriptive character string identifying agency, department or divisional record source or usage. Valid values: ?DPD_MAF? ? Added or modified by DPD ?CGDB_MAFEDITS? ? Added or modified by SPU ?INIT_MAF? ? The initial record value, likely harvested from King County Assessor data when the MAF/DAP was first implemented.

  5. m

    MassGIS Master Address Points (Feature Service)

    • gis.data.mass.gov
    • hub.arcgis.com
    • +1more
    Updated Feb 1, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MassGIS - Bureau of Geographic Information (2024). MassGIS Master Address Points (Feature Service) [Dataset]. https://gis.data.mass.gov/datasets/massgis-master-address-points-feature-service
    Explore at:
    Dataset updated
    Feb 1, 2024
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    MassGIS is working very closely with the State 911 Department in the state’s Executive Office of Public Safety and Security on the Next Generation 911 Emergency Call System. MassGIS developed and is maintaining the map and address information that are at the heart of this new system. Statewide deployment of this new 9-1-1 call routing system was completed in 2018.Address sources include the Voter Registration List from the Secretary of the Commonwealth, site addresses from municipal departments (primarily assessors), and customer address lists from utilities. Addresses from utilities were “anonymized” to protect customer privacy. The MAD was also validated for completeness using the Emergency Service List (a list of telephone land line addresses) from Verizon.The MAD contains both tabular and spatial data, with addresses being mapped as point features. At present, the MAD contains 3.2 million address records and 2.2 million address points. As the database is very dynamic with changes being made daily, the data available for download will be refreshed weekly.A Statewide Addressing Standard for Municipalities is another useful asset that has been created as part of this ongoing project. It is a best practices guide for the creation and storage of addresses for Massachusetts Municipalities.Points features with each point having an address to the building/floor/unit level, when that information is available. Where more than one address is located at a single location multiple points are included (i.e. "stacked points"). The points for the most part represent building centroids. Other points are located as assessor parcel centroids.Points will display at scales 1:75,000 and closer.MassGIS' service does not contain points for Boston; they may be accessed at https://data.boston.gov/dataset/live-street-address-management-sam-addresses/resource/873a7659-68b6-4ac0-98b7-6d8af762b6f1.More details about the MAD and Master Address Points.Map service also available.

  6. a

    Master RC Geo States 2025

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Nov 15, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    American Red Cross, National Headquarters (2022). Master RC Geo States 2025 [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/arc-nhq-gis::master-arc-geography-fy25-january-2025/explore?layer=3&showTable=true
    Explore at:
    Dataset updated
    Nov 15, 2022
    Dataset authored and provided by
    American Red Cross, National Headquarters
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    This feature layer replaces the Master_RC_Geo_July_2022 feature layer. The original name does not change to allow future data updates without generating a new feature layer. This feature layer represents the changes to the Red Cross corporate geography for Fiscal Year 2025. The data was updated in January 2025 based on the January 2025 update from the original source files from Humanitarian Services, Operations. This Feature Layer supersedes all previous versions of the Red Cross Master Geography and should be used to update any Web Maps using a previous version.

  7. m

    MassGIS Data: Master Address Data

    • mass.gov
    Updated Jan 25, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MassGIS (Bureau of Geographic Information) (2021). MassGIS Data: Master Address Data [Dataset]. https://www.mass.gov/info-details/massgis-data-master-address-data
    Explore at:
    Dataset updated
    Jan 25, 2021
    Dataset authored and provided by
    MassGIS (Bureau of Geographic Information)
    Area covered
    Massachusetts
    Description

    Updated Continually

  8. C

    UniGR - Formation transfrontalière: Erasmus Mundus Master in Language and...

    • grandest-moissonnage.data4citizen.com
    • grandestprod-backoffice.data4citizen.com
    • +1more
    Updated Jan 17, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    sig-grande-region (2025). UniGR - Formation transfrontalière: Erasmus Mundus Master in Language and Communication Technologies (MA) [Dataset]. https://grandest-moissonnage.data4citizen.com/dataset/5a4afa26-fa3b-4557-88d5-be6353bd321c
    Explore at:
    Dataset updated
    Jan 17, 2025
    Dataset provided by
    sig-grande-region
    Description

    Formation transfrontalière UniGR: Erasmus Mundus Master in Language and Communication Technologies (MA) - Source: UniGR

  9. O

    Master Addresses List

    • data.cambridgema.gov
    application/rdfxml +5
    Updated Mar 24, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Cambridge GIS Department (2025). Master Addresses List [Dataset]. https://data.cambridgema.gov/w/vup6-kpwv/t8rt-rkcd?cur=Mdq6aYcfAXN
    Explore at:
    application/rssxml, application/rdfxml, csv, tsv, json, xmlAvailable download formats
    Dataset updated
    Mar 24, 2025
    Dataset authored and provided by
    City of Cambridge GIS Department
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    Addresses of buildings, businesses, parks, and open spaces in the City of Cambridge. This dataset contains the complete list of addresses in Cambridge, along with each address's geospatial coordinates and relevant administrative boundaries (e.g., Census block, polling district, public safety area). The dataset does not include individual apartment units.The dataset is sourced from Cambridge's master address and GIS databases. Shapefiles for this data and other Cambridge geospatial data can be found on on the City's GIS Data Dictionary at https://www.cambridgema.gov/GIS/gisdatadictionary

  10. Digital Geologic-GIS Map of Knife River Indian Villages National Historic...

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Jun 4, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Park Service (2024). Digital Geologic-GIS Map of Knife River Indian Villages National Historic Site and Vicinity, North Dakota (NPS, GRD, GRI, KNRI, KNRI digital map) adapted from a University of North Dakota, Department of Anthropology and Archeology Master's Thesis map by Reiten (1983) [Dataset]. https://catalog.data.gov/dataset/digital-geologic-gis-map-of-knife-river-indian-villages-national-historic-site-and-vicinit
    Explore at:
    Dataset updated
    Jun 4, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Knife River, North Dakota
    Description

    The Digital Geologic-GIS Map of Knife River Indian Villages National Historic Site and Vicinity, North Dakota 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 (knri_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (knri_geology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. 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 (knri_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (knri_geology.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 (knri_geology_metadata_faq.pdf). Please read the knri_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. 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: University of North Dakota, Department of Anthropology and Archeology. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (knri_geology_metadata.txt or knri_geology_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 Google Earth, 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).

  11. a

    Shoreline Management Master Program / shorelinemmp area

    • gis-kingcounty.opendata.arcgis.com
    • king-snocoplanning.opendata.arcgis.com
    • +1more
    Updated Sep 18, 2003
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    King County (2003). Shoreline Management Master Program / shorelinemmp area [Dataset]. https://gis-kingcounty.opendata.arcgis.com/datasets/shoreline-management-master-program-shorelinemmp-area
    Explore at:
    Dataset updated
    Sep 18, 2003
    Dataset authored and provided by
    King County
    Area covered
    Description

    K.C. Shoreline Management Master Program. Related to SAO wetlands and FEMA floodpln (has boolean attributes floodpln and wetlands).

  12. f

    PERM cases by degree level

    • f1hire.com
    Updated Oct 21, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    F1 Hire (2024). PERM cases by degree level [Dataset]. https://www.f1hire.com/major/Geographic%20Information%20Systems%20%28Gis%29
    Explore at:
    Dataset updated
    Oct 21, 2024
    Dataset authored and provided by
    F1 Hire
    Description

    This pie chart illustrates the distribution of degrees—Bachelor’s, Master’s, and Doctoral—among PERM graduates from Geographic Information Systems (Gis). It shows the educational composition of students who have pursued and successfully obtained permanent residency through their qualifications in Geographic Information Systems (Gis). This visualization helps to understand the diversity of educational backgrounds that contribute to successful PERM applications, reflecting the major’s role in fostering students’ career paths towards permanent residency in the U.S.

  13. V

    City Master Plans - Small Areas

    • data.virginia.gov
    • data.amerigeoss.org
    • +4more
    Updated Apr 29, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Alexandria GIS Portal (2024). City Master Plans - Small Areas [Dataset]. https://data.virginia.gov/dataset/city-master-plans-small-areas
    Explore at:
    html, geojson, arcgis geoservices rest api, zip, csv, kmlAvailable download formats
    Dataset updated
    Apr 29, 2024
    Dataset provided by
    City of Alexandria GIS
    Authors
    City of Alexandria GIS Portal
    Description

    Small Area plan polygons as determined by the planning department of the City of Alexandria. Small Area Plans are the 18 geographic planning areas within the City that together create the City Master Plan. These master plans are guiding documents that provide community-based long-range planning and analysis regarding the physical development and appearance of neighborhoods across the City. Overlay plans are Supplemental plans and amendments to existing Small Area Plans that provide greater standards or regulations. Properties located within the boundaries are subject to the requirements and regulations per the overlay plan in addition to other City standards and policies. If the overlay plan is silent to or does not address a specific issue or topic, the underlying Small Area Plan applies.

  14. a

    Master Address File (MAF)

    • hub.arcgis.com
    • rlisdiscovery.oregonmetro.gov
    • +3more
    Updated Aug 26, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Metro (2021). Master Address File (MAF) [Dataset]. https://hub.arcgis.com/datasets/drcMetro::master-address-file-maf?uiVersion=content-views
    Explore at:
    Dataset updated
    Aug 26, 2021
    Dataset authored and provided by
    Metro
    Area covered
    Description

    Comprehensive address point file for the region. The normalized address data is a composition of imported data from regional counties and cities. Addresses are represented as individual points and are positioned inside or adjacent to taxlot parcels or on buildings within a parcel. Date of last data update: 2025-02-03 This is official RLIS data. Contact Person: Alicia Wood alicia.wood@oregonmetro.gov 503-813-7561 RLIS Metadata Viewer: https://gis.oregonmetro.gov/rlis-metadata/#/details/656 RLIS Terms of Use: https://rlisdiscovery.oregonmetro.gov/pages/terms-of-use

  15. S

    Public Services - Master Storm Drainage Index

    • opendata.sjgov.org
    • hub.arcgis.com
    html
    Updated Mar 22, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department of Public Works (2022). Public Services - Master Storm Drainage Index [Dataset]. https://opendata.sjgov.org/dataset/public-services-master-storm-drainage-index
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Mar 22, 2022
    Dataset provided by
    San Joaquin County, CA - GIS
    Authors
    Department of Public Works
    Description

    These maps represent conceptual master storm drainage plans for various areas of the County. They were created as a tool to exact fees from properties within each area that would be deposited into independent Drainage Trust Funds with the purpose of eventually having sufficient funds to build storm drainage facilities. All of these Drainage Trust Fund areas except the following have been eliminated:

    • Lockeford
    • Escalon
    • Manteca
    • Woodbridge
    Main Index Page

    Last Updated: 12/1/2016

    Official Seal of San Joaquin County

  16. f

    PERM cases by degree level

    • f1hire.com
    Updated Aug 23, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    F1 Hire (2024). PERM cases by degree level [Dataset]. https://www.f1hire.com/major/Gis
    Explore at:
    Dataset updated
    Aug 23, 2024
    Dataset authored and provided by
    F1 Hire
    Description

    This pie chart illustrates the distribution of degrees—Bachelor’s, Master’s, and Doctoral—among PERM graduates from Gis. It shows the educational composition of students who have pursued and successfully obtained permanent residency through their qualifications in Gis. This visualization helps to understand the diversity of educational backgrounds that contribute to successful PERM applications, reflecting the major’s role in fostering students’ career paths towards permanent residency in the U.S.

  17. TIGER/Line Shapefile, 2022, County, Pearl River County, MS, Topological...

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Jan 28, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2022, County, Pearl River County, MS, Topological Faces (Polygons With All Geocodes) [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-county-pearl-river-county-ms-topological-faces-polygons-with-all-geoc
    Explore at:
    Dataset updated
    Jan 28, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Commercehttp://commerce.gov/
    Area covered
    Pearl River County
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.

  18. d

    Master Plan Neighborhoods

    • data.detroitmi.gov
    • detroitdata.org
    • +3more
    Updated Jan 29, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Detroit (2019). Master Plan Neighborhoods [Dataset]. https://data.detroitmi.gov/maps/master-plan-neighborhoods
    Explore at:
    Dataset updated
    Jan 29, 2019
    Dataset authored and provided by
    City of Detroit
    Area covered
    Description

    The 54 Official Master Plan Neighborhoods based on the 2010 Census Tract boundary.

  19. V

    City Master Plans - Overlays

    • data.virginia.gov
    • data.amerigeoss.org
    • +5more
    Updated Apr 29, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Alexandria GIS Portal (2024). City Master Plans - Overlays [Dataset]. https://data.virginia.gov/dataset/city-master-plans-overlays
    Explore at:
    arcgis geoservices rest api, kml, geojson, csv, html, zipAvailable download formats
    Dataset updated
    Apr 29, 2024
    Dataset provided by
    City of Alexandria GIS
    Authors
    City of Alexandria GIS Portal
    Description

    Overlays polygons as determined by the planning department of the City of Alexandria. Small Area Plans are the 18 geographic planning areas within the City that together create the City Master Plan. These master plans are guiding documents that provide community-based long-range planning and analysis regarding the physical development and appearance of neighborhoods across the City. Overlay plans are Supplemental plans and amendments to existing Small Area Plans that provide greater standards or regulations. Properties located within the boundaries are subject to the requirements and regulations per the overlay plan in addition to other City standards and policies. If the overlay plan is silent to or does not address a specific issue or topic, the underlying Small Area Plan applies.

  20. m

    MDCOVID19 MASTER ZIP CODE CASES

    • data.imap.maryland.gov
    • dev-maryland.opendata.arcgis.com
    • +2more
    Updated May 22, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ArcGIS Online for Maryland (2020). MDCOVID19 MASTER ZIP CODE CASES [Dataset]. https://data.imap.maryland.gov/datasets/mdcovid19-master-zip-code-cases/data
    Explore at:
    Dataset updated
    May 22, 2020
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Description

    Deprecated as of 4/27/2023On 4/27/2023 several COVID-19 datasets were retired and no longer included in public COVID-19 data dissemination. For more information, visit https://imap.maryland.gov/pages/covid-dataSummaryThe cumulative number of positive COVID-19 cases among Maryland residents within a single Maryland ZIP code.DescriptionThe MD COVID-19 - Cases by ZIP Code data layer is a collection of positive COVID-19 test results that have been reported each day by the local health department via the NEDSS system.COVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
The University of Kansas (2024). Master Well Inventory [Dataset]. https://kgs-gis-data-and-maps-ku.hub.arcgis.com/datasets/master-well-inventory

Master Well Inventory

Explore at:
14 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Dec 9, 2024
Dataset authored and provided by
The University of Kansas
Area covered
Description

The Kansas Master Ground-water Well Inventory (MWI) is a central repository that imports and links together the State's primary ground-water well data sets- KDHE's WWC5, KDA-DWR's WIMAS, and KGS' WIZARD into a single, online source. The most "accurate" of the common source fields are used to represent the well sites, for example- GPS coordinates if available are used over other methods to locate a well. The MWI maintains the primary identification tags to allow specific well records to be linked back to the original data sources.This data is compiled by the Kansas Geological Survey. For more information, please see the Groundwater Master Well Inventory page.

Search
Clear search
Close search
Google apps
Main menu