100+ datasets found
  1. CA Geographic Boundaries

    • catalog.data.gov
    • data.ca.gov
    • +1more
    Updated May 14, 2024
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    California Department of Technology (2024). CA Geographic Boundaries [Dataset]. https://catalog.data.gov/dataset/ca-geographic-boundaries
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    Dataset updated
    May 14, 2024
    Dataset provided by
    California Department of Technologyhttp://cdt.ca.gov/
    Description

    This dataset contains shapefile boundaries for CA State, counties and places from the US Census Bureau's 2023 MAF/TIGER database. Current geography in the 2023 TIGER/Line Shapefiles generally reflects the boundaries of governmental units in effect as of January 1, 2023.

  2. d

    TIGER/Line Shapefile, 2019, state, California, Current County Subdivision...

    • catalog.data.gov
    Updated Oct 12, 2021
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    (2021). TIGER/Line Shapefile, 2019, state, California, Current County Subdivision State-based [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2019-state-california-current-county-subdivision-state-based
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    Dataset updated
    Oct 12, 2021
    Area covered
    California
    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. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally- recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2019, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CCDs, delineated in 20 states, are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2010 Census.

  3. 2023 Cartographic Boundary File (SHP), County Subdivision for California,...

    • datasets.ai
    • catalog.data.gov
    33, 55, 57
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    U.S. Census Bureau, Department of Commerce, 2023 Cartographic Boundary File (SHP), County Subdivision for California, 1:500,000 [Dataset]. https://datasets.ai/datasets/2023-cartographic-boundary-file-shp-county-subdivision-for-california-1-500000
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    55, 57, 33Available download formats
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau, Department of Commerce
    Area covered
    California 1, California
    Description

    The 2023 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

    County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. In MCD states where no MCD exists or no MCD is defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions.

    The generalized boundaries of legal MCDs are based on those as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CCDs, delineated in 21 states, are based on those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

  4. d

    Data from: Coverage Polygons for DEMs of the North-Central California Coast...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Coverage Polygons for DEMs of the North-Central California Coast (DEM_coverage_areas.shp) [Dataset]. https://catalog.data.gov/dataset/coverage-polygons-for-dems-of-the-north-central-california-coast-dem-coverage-areas-shp
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Central Coast, California
    Description

    A GIS polygon shapefile outlining the extent of the 14 individual DEM sections that comprise the seamless, 2-meter resolution DEM for the open-coast region of the San Francisco Bay Area (outside of the Golden Gate Bridge), extending from Half Moon Bay to Bodega Head along the north-central California coastline. The goal was to integrate the most recent high-resolution bathymetric and topographic datasets available (for example, Light Detection and Ranging (lidar) topography, multibeam and single-beam sonar bathymetry) into a seamless surface model extending offshore at least 3 nautical miles and inland beyond the +20 meter elevation contour.

  5. Kelp distribution off California

    • fisheries.noaa.gov
    • datadiscoverystudio.org
    • +3more
    shapefile
    Updated Jan 1, 2004
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    Randy Clark (2004). Kelp distribution off California [Dataset]. https://www.fisheries.noaa.gov/inport/item/39359
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    shapefileAvailable download formats
    Dataset updated
    Jan 1, 2004
    Dataset provided by
    National Centers for Coastal Ocean Science
    Authors
    Randy Clark
    Time period covered
    1989 - 2002
    Area covered
    Description

    This data set delineates kelp beds (Nereocystis leutkeana and Macrocystis spp.) along the Pacific Coast of California. Multiple years of kelp mapping data for the state have been compiled into a single coastwide data set. Due to variability in oceanographic and climatic conditions, kelp bed abundance and distribution is extremely variable from year to year. Therefore kelp bed locations and...

  6. Humpback whale at-sea density off California

    • fisheries.noaa.gov
    • gimi9.com
    • +1more
    zip
    Updated Jan 1, 2006
    + more versions
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    Randy Clark (2006). Humpback whale at-sea density off California [Dataset]. https://www.fisheries.noaa.gov/inport/item/39276
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    zipAvailable download formats
    Dataset updated
    Jan 1, 2006
    Dataset provided by
    National Centers for Coastal Ocean Science
    Authors
    Randy Clark
    Time period covered
    2006
    Area covered
    Description

    The National Marine Sanctuary Program (NMSP) updates and revises the management plans for each of its 13 sanctuaries. This process, which is open to the public, enables each site to revisit the reasons for sanctuary designation and assess whether they are meeting their goals, as well as to set new goals consistent with the mandates of the National Marine Sanctuaries Act. Issues raised by the pu...

  7. Seagrass distribution off California

    • fisheries.noaa.gov
    • gimi9.com
    • +2more
    shapefile
    Updated Jan 1, 2006
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    Randy Clark (2006). Seagrass distribution off California [Dataset]. https://www.fisheries.noaa.gov/inport/item/39488
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    shapefileAvailable download formats
    Dataset updated
    Jan 1, 2006
    Dataset provided by
    National Centers for Coastal Ocean Science
    Authors
    Randy Clark
    Time period covered
    1987 - 2003
    Area covered
    Description

    These data are a compilation of currently available seagrass GIS data sets for the west coast of the United States. These data have been compiled from seventeen different data sources. The source data were acquired over a large range of time periods, at many different spatial resolutions using a variety of methods, including aerial photography, videography, multispectral sensors, sonar, and f...

  8. 2022 Cartographic Boundary File (SHP), Current State Legislative...

    • catalog.data.gov
    • datasets.ai
    Updated Dec 14, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2022 Cartographic Boundary File (SHP), Current State Legislative District-Upper Chamber for California, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2022-cartographic-boundary-file-shp-current-state-legislative-district-upper-chamber-for-califo
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The 2022 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. State Legislative Districts (SLDs) are the areas from which members are elected to state legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by state participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, New Hampshire, Wisconsin, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated as a single SLD for purposes of data presentation. The generarlized boundaries in this file are based on the most recent state legislative district boundaries collected by the Census Bureau for the 2022 election year and provided by state-level participants through the RDP.

  9. d

    Input Data Boundary Outlines for DEMs of the North-Central California Coast...

    • datasets.ai
    • data.usgs.gov
    • +3more
    55
    Updated Sep 9, 2024
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    Department of the Interior (2024). Input Data Boundary Outlines for DEMs of the North-Central California Coast (DEM_source_data.shp) [Dataset]. https://datasets.ai/datasets/input-data-boundary-outlines-for-dems-of-the-north-central-california-coast-dem-source-dat
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    55Available download formats
    Dataset updated
    Sep 9, 2024
    Dataset authored and provided by
    Department of the Interior
    Area covered
    Central Coast, California
    Description

    A GIS polygon shapefile outlining the boundaries of the native input datasets used to construct a seamless, 2-meter resolution digital elevation model (DEM) was constructed for the open-coast region of the San Francisco Bay Area (outside of the Golden Gate Bridge), extending from Half Moon Bay to Bodega Head along the North-central California coastline. The goal was to integrate the most recent high-resolution bathymetric and topographic datasets available (for example, Light Detection and Ranging (lidar) topography, multibeam and single-beam sonar bathymetry) into a seamless surface model extending offshore at least 3 nautical miles and inland beyond the +20 m elevation contour.

  10. 2020 Cartographic Boundary File (SHP), Current Elementary School District...

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Dec 14, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2020 Cartographic Boundary File (SHP), Current Elementary School District for California, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2020-cartographic-boundary-file-shp-current-elementary-school-district-for-california-1-500000
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The 2020 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from state officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts. The cartographic boundary files include separate files for elementary, secondary and unified school districts. The generalized school district boundaries in this file are based on those in effect for the 2019-2020 school year, i.e., in operation as of January 1, 2020.

  11. T

    Baja California Mexico Shape File

    • opendata.sandag.org
    Updated Jun 16, 2022
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    (2022). Baja California Mexico Shape File [Dataset]. https://opendata.sandag.org/dataset/Baja-California-Mexico-Shape-File/w58y-9vte
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    csv, application/rssxml, tsv, xml, application/rdfxml, kml, kmz, application/geo+jsonAvailable download formats
    Dataset updated
    Jun 16, 2022
    Area covered
    Mexico, Baja California
    Description

    Baja Shape File

  12. Blue whale at-sea density off California

    • fisheries.noaa.gov
    • gimi9.com
    • +2more
    shapefile
    Updated Jan 1, 2006
    + more versions
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    Randy Clark (2006). Blue whale at-sea density off California [Dataset]. https://www.fisheries.noaa.gov/inport/item/39265
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    shapefileAvailable download formats
    Dataset updated
    Jan 1, 2006
    Dataset provided by
    National Centers for Coastal Ocean Science
    Authors
    Randy Clark
    Time period covered
    2006
    Area covered
    Description

    The Office of National Marine Sanctuary (ONMS) updates and revises the management plans for each of its 13 sanctuaries. This process, which is open to the public, enables each site to revisit the reasons for sanctuary designation and assess whether they are meeting their goals, as well as to set new goals consistent with the mandates of the National Marine Sanctuaries Act. Issues raised by the...

  13. C

    Shapefile for Coastal Zone Management Program counties of the United States...

    • data.cnra.ca.gov
    Updated May 8, 2019
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    Ocean Data Partners (2019). Shapefile for Coastal Zone Management Program counties of the United States and its territories, 2009 (CZMP_counties_2009.shp) [Dataset]. https://data.cnra.ca.gov/dataset/shapefile-for-coastal-zone-management-program-counties-of-the-united-states-and-its-territories
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    Dataset updated
    May 8, 2019
    Dataset authored and provided by
    Ocean Data Partners
    Description

    Shapefile for 492 Coastal Zone Management Program (CZMP) counties and county equivalents, 2009, extracted from the U.S. Census Bureau's MAF/TIGER database of U.S. counties and cross-referenced to a list of CZMP counties published by the NOAA/NOS Office of Ocean and Coastal Resource Management (OCRM). Data extent to the nearest quarter degree is 141.00 E to 64.50 W longitude and 14.75 S to 71.50 N latitude. TL2009 in this document refers to metadata content inherited from the original U.S. Census Bureau (2009) TIGER/Line shapefile. TL2009: The TIGER/Line Shapefiles are an extract of selected geographic and cartographic information from the Census MAF/TIGER database. The Census MAF/TIGER database 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 dataset or the shapefiles can be combined to cover the whole nation.

  14. 2022 Cartographic Boundary File (SHP), Current Secondary School District for...

    • s.cnmilf.com
    • catalog.data.gov
    Updated Dec 14, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Customer Engagement Branch (Point of Contact) (2023). 2022 Cartographic Boundary File (SHP), Current Secondary School District for California, 1:500,000 [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/2022-cartographic-boundary-file-shp-current-secondary-school-district-for-california-1-500000
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Department of Commercehttp://www.commerce.gov/
    United States Census Bureauhttp://census.gov/
    Area covered
    California
    Description

    The 2022 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from state officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts. The cartographic boundary files include separate files for elementary, secondary and unified school districts. The generalized school district boundaries in this file are based on those in effect for the 2021-2022 school year, i.e., in operation as of January 1, 2022.

  15. Bocaccio larvae distribution off California

    • fisheries.noaa.gov
    • data.cnra.ca.gov
    • +2more
    shapefile
    Updated Jan 1, 2006
    + more versions
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    Randy Clark (2006). Bocaccio larvae distribution off California [Dataset]. https://www.fisheries.noaa.gov/inport/item/38737
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    shapefileAvailable download formats
    Dataset updated
    Jan 1, 2006
    Dataset provided by
    National Centers for Coastal Ocean Science
    Authors
    Randy Clark
    Time period covered
    Jan 2006
    Area covered
    Description

    The National Marine Sanctuary Program (NMSP) updates and revises the management plans for each of its 13 sanctuaries. This process, which is open to the public, enables each site to revisit the reasons for sanctuary designation and assess whether they are meeting their goals, as well as to set new goals consistent with the mandates of the National Marine Sanctuaries Act. Issues raised by the pu...

  16. Fish assemblages in central and southern California using fish catch and...

    • fisheries.noaa.gov
    • data.cnra.ca.gov
    • +5more
    shapefile
    Updated Jan 1, 2006
    + more versions
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    Randy Clark (2006). Fish assemblages in central and southern California using fish catch and effort data from the Recreational Fisheries Information Network [Dataset]. https://www.fisheries.noaa.gov/inport/item/39074
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    shapefileAvailable download formats
    Dataset updated
    Jan 1, 2006
    Dataset provided by
    National Centers for Coastal Ocean Science
    Authors
    Randy Clark
    Area covered
    Description

    This dataset was provided by the Recreational Fisheries Information Network (RecFIN), and contained GPS coordinates for 680 CPFV trips during 1999 and 2001 at depths ranging from 0 - 2200 m. Fishers targeted specific species during each trip, and visited between 1 and 22 locations. Each trip/location combination was considered a unique site and was used as a sample unit in analyses. RecFIN p...

  17. Fish diversity in southern California using trawl data from the National...

    • fisheries.noaa.gov
    • data.cnra.ca.gov
    • +5more
    shapefile
    Updated Jan 1, 2006
    + more versions
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    Randy Clark (2006). Fish diversity in southern California using trawl data from the National Marine Fisheries Service [Dataset]. https://www.fisheries.noaa.gov/inport/item/38936
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    shapefileAvailable download formats
    Dataset updated
    Jan 1, 2006
    Dataset provided by
    National Centers for Coastal Ocean Science
    Authors
    Randy Clark
    Area covered
    Description

    The Shannon Index of diversity was calculated from National Marine Fisheries Service Groundfish Survey Program (NMFS GSP) fish trawl data. Data from 477 fishery independent trawls ranging from 55-1200 m in depth were collected June-November in 1977, 1989, 1992, 1995, and 1997-2002. Including all fish identified to the species level resulted in 189 fish species. Using ArcGIS, 5 x 5 minute gr...

  18. County Boundaries

    • gisdata-caltrans.opendata.arcgis.com
    • data-outdoornebraska.opendata.arcgis.com
    Updated Oct 27, 2021
    + more versions
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    California_Department_of_Transportation (2021). County Boundaries [Dataset]. https://gisdata-caltrans.opendata.arcgis.com/datasets/111030d0d67e49d789080c47d9e4e618
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    Dataset updated
    Oct 27, 2021
    Dataset provided by
    California Department of Transportationhttp://dot.ca.gov/
    Authors
    California_Department_of_Transportation
    License

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

    Area covered
    Description

    The TIGER/Line Files are shapefiles and related database files (.dbf) that 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 File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The primary legal divisions of most States are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, and municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four States (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their States. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The 2010 Census boundaries for counties and equivalent entities are as of January 1, 2010, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).

  19. a

    SHP EarthquakeHazardParcels 20210923

    • maps-cadoc.opendata.arcgis.com
    Updated Sep 14, 2021
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    California Department of Conservation (2021). SHP EarthquakeHazardParcels 20210923 [Dataset]. https://maps-cadoc.opendata.arcgis.com/maps/47c577acc961487988b5e5008f6add91
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    Dataset updated
    Sep 14, 2021
    Dataset authored and provided by
    California Department of Conservation
    Area covered
    Description

    The California parcel dataset was processed to determine whether a parcel is within an earthquake fault zone, a liquefaction zone, and/or a landslide zone. The main purpose of these data are to be used in the Earthquake Zones of Required Investigation GeoApp.

  20. Fish assemblages in southern California kelp forests.

    • fisheries.noaa.gov
    • data.cnra.ca.gov
    • +3more
    shapefile
    Updated Jan 1, 2006
    + more versions
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    Randy Clark (2006). Fish assemblages in southern California kelp forests. [Dataset]. https://www.fisheries.noaa.gov/inport/item/38966
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    shapefileAvailable download formats
    Dataset updated
    Jan 1, 2006
    Dataset provided by
    National Centers for Coastal Ocean Science
    Authors
    Randy Clark
    Area covered
    Description

    This is a point file of fish assemblages calculated from diver surveys in kelp forests in Southern California. Visual census data was combined for two separate southern California datasets. The Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO) provided information collected at 15 sites, and Vantuna Research Group (VRG) at 29 sites. Visual transect surveys were completed by...

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California Department of Technology (2024). CA Geographic Boundaries [Dataset]. https://catalog.data.gov/dataset/ca-geographic-boundaries
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CA Geographic Boundaries

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Dataset updated
May 14, 2024
Dataset provided by
California Department of Technologyhttp://cdt.ca.gov/
Description

This dataset contains shapefile boundaries for CA State, counties and places from the US Census Bureau's 2023 MAF/TIGER database. Current geography in the 2023 TIGER/Line Shapefiles generally reflects the boundaries of governmental units in effect as of January 1, 2023.

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