32 datasets found
  1. 2022 Cartographic Boundary File (SHP), Current Block Group for United...

    • 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 Block Group for United States, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2022-cartographic-boundary-file-shp-current-block-group-for-united-states-1-500000
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    Dataset updated
    Dec 14, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    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. Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same decennial census. For example, tabulation blocks numbered 3001, 3002, 3003,.., 3999 within census tract 1210.02 are also within BG 3 within that census tract. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A BG usually covers a contiguous area but never crosses county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. The generalized BG boundaries in this release are based on those that were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

  2. d

    Textural Data from the Continental Margin Program (HATHAWAY71 shapefile)

    • catalog.data.gov
    • data.usgs.gov
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    Updated Nov 26, 2025
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    U.S. Geological Survey (2025). Textural Data from the Continental Margin Program (HATHAWAY71 shapefile) [Dataset]. https://catalog.data.gov/dataset/textural-data-from-the-continental-margin-program-hathaway71-shapefile
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    Dataset updated
    Nov 26, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    This data set contains sediment grain size and textural information from the Continental Margin Program. The program was a joint collaboration between the U.S. Geological Survey and the Woods Hole Oceanographic Institution during the 1960s to conduct a geological reconnaissance investigation of the continental shelf and slope off the Atlantic coast of the United States. Only those records with complete size analyses are included in this data set. Other stations where only lithologic descriptions are available have been excluded.

  3. d

    HUC8 - CONUS Shapefile

    • dataone.org
    • beta.hydroshare.org
    • +2more
    Updated Dec 5, 2021
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    Danielle Tijerina (2021). HUC8 - CONUS Shapefile [Dataset]. https://dataone.org/datasets/sha256%3A4200cfccdc2c3729d0b3d4e7f634f5608875a698ef63d25bac7c8637fa4171e9
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    Dataset updated
    Dec 5, 2021
    Dataset provided by
    Hydroshare
    Authors
    Danielle Tijerina
    Area covered
    Description

    This resource contains a shapefile of HUC-8 (eight digit Hydrologic Unit Codes) for the Continental United States (CONUS).

    The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" “Standard” (http://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level) for the entire United States. Some areas may also include additional subdivisions representing the 14- and 16-digit hydrologic unit (HU). At a minimum, the HUs are delineated at 1:24,000-scale in the conterminous United States, 1:25,000-scale in Hawaii, Pacific basin and the Caribbean, and 1:63,360-scale in Alaska, meeting the National Map Accuracy Standards (NMAS). Higher resolution boundaries are being developed where partners and data exist and will be incorporated back into the WBD. WBD data are delivered as a dataset of polygons and corresponding lines that define the boundary of the polygon. WBD polygon attributes include hydrologic unit codes (HUC), size (in the form of acres and square kilometers), name, downstream hydrologic unit code, type of watershed, non-contributing areas, and flow modifications. The HUC describes where the unit is in the country and the level of the unit. WBD line attributes contain the highest level of hydrologic unit for each boundary, line source information and flow modifications.

  4. U

    Data from: Lithologic Descriptions from the Continental Margin Program...

    • data.usgs.gov
    • datadiscoverystudio.org
    • +4more
    Updated Nov 16, 2021
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    Lawrence Poppe (2021). Lithologic Descriptions from the Continental Margin Program (HATHLITH71 shapefile) [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:ed505b62-e43d-4dc7-b68d-59d0d4ac9a6c
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    Dataset updated
    Nov 16, 2021
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Lawrence Poppe
    License

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

    Time period covered
    1971
    Description

    This data set contains lithologic information on bottom sediments from the Continental Margin Program. The program was a joint collaboration between the U.S. Geological Survey and the Woods Hole Oceanographic Institution during the 1960s to conduct a geological reconnaissance investigation of the continental shelf and slope off the Atlantic coast of the United States. Only those records without complete size analyses and only those stations from the Gulf of Maine, Georges Bank, and southeastern New England shelf and slope are included in this data set. Other stations where detailed textural analyses are available or are from other areas have been excluded. Furthermore, dredges were used to collect most of the bottom samples, resulting in winnowing that has resulted in lithologic descriptions that are texturally coarser than actually present. Care should be taken when using this dataset.

  5. a

    Outer Continental Shelf Administrative Boundaries

    • new-york-opd-geographic-information-gateway-nysdos.hub.arcgis.com
    • opdgig.dos.ny.gov
    Updated Nov 8, 2022
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    New York State Department of State (2022). Outer Continental Shelf Administrative Boundaries [Dataset]. https://new-york-opd-geographic-information-gateway-nysdos.hub.arcgis.com/items/080109cb8b2e4ef2917f39fa8eee265a
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    Dataset updated
    Nov 8, 2022
    Dataset authored and provided by
    New York State Department of State
    Area covered
    Description

    This dataset contains the Federal Outer Continental Shelf (OCS) Administrative Boundaries Extending from the Submerged Lands Act Boundary seaward to the Limit of the United States Outer Continental Shelf (The U.S. 200 nautical mile limit, or other marine boundary), in ESRI shapefile format, for the MMS Atlantic Region. These shapefiles have been densified to approximately 1 nautical mile, so that when projected to something other than geographic, the lines will retain the proper shape. These boundaries will provide the basis for more accurate delineation of OCS planning areas; assist in determining affected state status under the Coastal Zone Management Act and OCS Lands Act; and assist in the section 18 comparative analysis to determine an equitable sharing of developmental benefits and environmental risks among regions. For further information please see the Federal Register Notice from January 3, 2006. See http://edocket.access.gpo.gov/2006/pdf/05-24659.pdfView Dataset on the Gateway

  6. d

    NODC Lithologic Descriptions (DEC41_GOM shapefile)

    • search.dataone.org
    • data.usgs.gov
    • +2more
    Updated Jun 1, 2017
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    Lawrence J. Poppe (2017). NODC Lithologic Descriptions (DEC41_GOM shapefile) [Dataset]. https://search.dataone.org/view/34bc6805-3189-4d87-8226-dbd350d46c89
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    Dataset updated
    Jun 1, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Lawrence J. Poppe
    Time period covered
    Jan 1, 1845 - Oct 23, 1966
    Area covered
    Variables measured
    FID, DATE, Shape, DEVICE, DEPTH_M, NODCREF, PROJECT, STATION, COMBINED, LATITUDE, and 5 more
    Description

    This is an original data file created by the Marine Geology and Geophysics group of NODC from 1970-1975, abstracted from published and unpublished material contributed to NODC in 1975, after which no updates were added.

  7. U

    Data from: Maine Inner Continental Shelf Sediment Data (BARNHARDT shapefile)...

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    Lawrence Poppe; Mary Hastings, Maine Inner Continental Shelf Sediment Data (BARNHARDT shapefile) [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:1477ea4a-0981-48db-9429-f3505adc9a6b
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    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Lawrence Poppe; Mary Hastings
    License

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

    Time period covered
    1998
    Area covered
    Maine
    Description

    Surficial geologic maps play and important role in understanding the present sea floor and the processes that shape it. Between 1984 and 1991, over 1,700 bottom sample stations were occupied in the northwestern Gulf of Maine. Although the data were originally collected for a variety of research projects, contracts, and graduate student theses, they were eventually compiled as part of a Maine Geological Survey and University of Maine program to map the inner continental shelf of this region.

  8. g

    North American Grid-Based Offshore Sampling Frame: Continental United States...

    • gimi9.com
    Updated Jan 25, 2022
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    (2022). North American Grid-Based Offshore Sampling Frame: Continental United States | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_north-american-grid-based-offshore-sampling-frame-continental-united-states/
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    Dataset updated
    Jan 25, 2022
    Area covered
    United States
    Description

    This shapefile represents the offshore grid-based sampling frame intended for use with the North American Bat Monitoring Program (NABat). The grid consists of 10 km x 10 km cells spanning the oceanic waters surrounding the continental United States.

  9. d

    Data from: Sediment Data from the Continental Rise (ZIMMERMAN72 shapefile)

    • dataone.org
    • data.usgs.gov
    • +3more
    Updated Apr 13, 2017
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    Lawrence J. Poppe (2017). Sediment Data from the Continental Rise (ZIMMERMAN72 shapefile) [Dataset]. https://dataone.org/datasets/51e1a13e-badf-453c-bdd3-bd52edff1847
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    Dataset updated
    Apr 13, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Lawrence J. Poppe
    Area covered
    Variables measured
    FID, MUD, SAND, Shape, DEVICE, DEPTH_M, STATION, LATITUDE, LENGTH_CM, LITHOLOGY, and 2 more
    Description

    Short cores were collected on the continental rise off Georges Bank. The character of the sediments and measured bottom currents show that the Western Boundary Undercurrent is a significant factor in sediment transport and deposition along the east coast continental rise. Size data for the sand and mud fractions were estimated by the compilers by subtracting the percent carbonate (composed largely of sand-sized planktonic foraminifera) from the coarse fraction. Silt and clay were not differentiated; the fine fraction is reported as mud.

  10. sstates2m: State boundaries of the Southern United States at 1:200,000 scale...

    • agdatacommons.nal.usda.gov
    bin
    Updated Nov 24, 2025
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    M. Negri; John M. Pye (2025). sstates2m: State boundaries of the Southern United States at 1:200,000 scale [Dataset]. http://doi.org/10.2737/RDS-2011-0009
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    binAvailable download formats
    Dataset updated
    Nov 24, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    M. Negri; John M. Pye
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Southern United States, United States
    Description

    This coverage was identified on the USGS Water Resources NSDI Node site at https://www.usgs.gov/ngpo/. The coverage contains the state boundaries of the southern region of the continental United States. These boundaries were derived from the Digital Line Graph (DLG) files representing the 1:2,000,000 scale map in the National Atlas of the United States. The data was then modified by USDA Forest Service Personnel for use in the Southern Forest Resource Assessment and exported to a shapefile (please see Process Steps below).This shapefile is used as a base map for a variety of applications.Metadata was updated on 6/08/2011 when data became available through this archive. Minor metadata updates on 04/18/2013. Minor metadata updates on 12/06/2016.

    Data were originally made available at //www.srs.fs.usda.gov/sustain/data/.

  11. U

    Interpretation of the distribution of Holocene fine sand deposits on the...

    • data.usgs.gov
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    Updated Jan 22, 2025
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    U.S. Geological Survey (2025). Interpretation of the distribution of Holocene fine sand deposits on the inner-continental shelf within the New York Bight, derived from seismic data collected by the U.S. Geological Survey, 1995 - 1999 (Esri polygon shapefile, Geographic, WGS84) [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:2dd6d213-0885-4844-ae71-e286e621e111
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    Dataset updated
    Jan 22, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    U.S. Geological Survey
    License

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

    Time period covered
    May 13, 1995 - Oct 13, 1999
    Area covered
    New York/New Jersey Bight
    Description

    These data orginate from interpretations of seismic reflection and sidescan-sonar data. The derivative data are in an ESRI shapefile, polygon vector format and are intended to represent the distribution of Holocene fine sand deposits throughout the inner-continental shelf within the New York Bight. These data are helpful in understanding the stratigraphic evolution of the inner-continental shelf, the regional sediment transport system, and the influence of the inner-shelf framework on coastal processes.

  12. d

    Samples collected along transects off the Eastern United States in 1938...

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    • data.usgs.gov
    • +2more
    Updated Jun 1, 2017
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    Lawrence J. Poppe (2017). Samples collected along transects off the Eastern United States in 1938 (STETSON38 shapefile) [Dataset]. https://search.dataone.org/view/52c2784b-7bcd-45b6-891a-586060024e4c
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    Dataset updated
    Jun 1, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Lawrence J. Poppe
    Area covered
    Variables measured
    FID, CLAY, SAND, SILT, CLAYX, DEPTH, Shape, TOTAL, GRAVEL, COLLOID, and 6 more
    Description

    This study was undertaken to provide information on the characteristics and distribution of surficial sediments off the eastern United States. Accordingly, long traverses were run across the continental shelf and in most case carrying over the shelf break. This data set includes data from those 9 traverses which were conducted north of Virginia. These data constitute the first systematic sampling of the U.S. Atlantic margin to show the effects of environmental factors (e.g. increasing distance from shore, water depth) on the sediment distribution. Sampling was performed with a primitive grab sampler; navigational methods were not discussed in this report.

  13. d

    New York Bight and Gulf of Maine bathymetric contours (NY_GOME_CONTOURS)

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    • data.usgs.gov
    • +2more
    Updated Feb 1, 2018
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    U.S. Geological Survey; Valerie Paskevich (2018). New York Bight and Gulf of Maine bathymetric contours (NY_GOME_CONTOURS) [Dataset]. https://search.dataone.org/view/66de1b17-995a-4739-9399-44be0e7fe289
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    Dataset updated
    Feb 1, 2018
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    U.S. Geological Survey; Valerie Paskevich
    Area covered
    Variables measured
    FID, Shape, elev_m
    Description

    This bathymetric shapefile contains 10 m contours for the continental shelf and 100 m beyond the 200 m shelf edge. The contours have been derived from the National Oceanic and Atmospheric Administration (NOAA), National Geophysical Data Center (NGDC), Coastal Relief Models volume 1 and 2.

  14. U

    Prospective regions for marine minerals on the Alaska Outer Continental...

    • data.usgs.gov
    • s.cnmilf.com
    • +1more
    Updated May 27, 2024
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    Theresa Fregoso; Manda Au; Kira Mizell; Amy Gartman (2024). Prospective regions for marine minerals on the Alaska Outer Continental Shelf [Dataset]. http://doi.org/10.5066/P1KXSYGD
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    Dataset updated
    May 27, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Theresa Fregoso; Manda Au; Kira Mizell; Amy Gartman
    License

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

    Time period covered
    Jun 2, 2022
    Area covered
    Alaska
    Description

    This shapefile is of prospective regional outlines of where marine minerals may occur on the Alaska Outer Continental Shelf (OCS). Polygons were hand digitized based on a U.S. Geological Survey (USGS) data review that considers the state of knowledge regarding marine mineral occurrences within the Alaska OCS. This data release is a companion to the USGS Professional Paper, Gartman and others, 2022.

  15. d

    Data from: Shelf Sediments off Long Island (MCKINNEY70 shapefile)

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    • data.usgs.gov
    • +2more
    Updated Feb 1, 2018
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    Lawrence J. Poppe; Ben Hallett (2018). Shelf Sediments off Long Island (MCKINNEY70 shapefile) [Dataset]. https://search.dataone.org/view/64739503-7844-4a46-8985-2f1c1c1e3d21
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    Dataset updated
    Feb 1, 2018
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Lawrence J. Poppe; Ben Hallett
    Area covered
    Variables measured
    FID, FINES, Shape, STDDEV, DEPTH_M, LATITUDE, MEAN_PHI, SAMPLEID, LITHOLOGY, LONGITUDE, and 1 more
    Description

    The detailed nature of relict sediments resulting from and related to the Holocene transgression is revealed through this sedimentological study of a densely sampled corridor across the southern New England continental shelf. These shelf sediments can be divided into an inner and middle clean sand facies and an outer shelf muddy sand facies. Sediment data supports the view that the outer muddy sediment is relict; the sharp "mud line" at about 35 fathoms results not from modern deposition, but from the winnowing more extensive muddy sediment.

  16. d

    TIGER/Line Shapefile, 2017, nation, U.S., Current State and Equivalent...

    • catalog.data.gov
    • datasets.ai
    • +2more
    Updated Jan 13, 2021
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    (2021). TIGER/Line Shapefile, 2017, nation, U.S., Current State and Equivalent National [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2017-nation-u-s-current-state-and-equivalent-national
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    Dataset updated
    Jan 13, 2021
    Area covered
    United States
    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. States and equivalent entities are the primary governmental divisions of the United States. In addition to the fifty States, the Census Bureau treats the District of Columbia, Puerto Rico, and each of the Island Areas (American Samoa, the Commonwealth of the Northern Mariana Islands, Guam, and the U.S. Virgin Islands) as the statistical equivalents of States for the purpose of data presentation.

  17. TIGER/Line Shapefile, 2022, State, District of Columbia, DC, Block Group

    • catalog.data.gov
    Updated Jan 28, 2024
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    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, State, District of Columbia, DC, Block Group [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-state-district-of-columbia-dc-block-group
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    Dataset updated
    Jan 28, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Washington, District of Columbia
    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. Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same decennial census. For example, tabulation blocks numbered 3001, 3002, 3003,.., 3999 within census tract 1210.02 are also within BG 3 within that census tract. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A BG usually covers a contiguous area but never crosses county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. The BG boundaries in this release are those that were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

  18. d

    Data from: Geospatial Data for a Preliminary GIS Representation of Deep Coal...

    • catalog.data.gov
    • data.usgs.gov
    Updated Oct 1, 2025
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    U.S. Geological Survey (2025). Geospatial Data for a Preliminary GIS Representation of Deep Coal Areas for Carbon Dioxide Storage in the Contiguous United States and Alaska [Dataset]. https://catalog.data.gov/dataset/geospatial-data-for-a-preliminary-gis-representation-of-deep-coal-areas-for-carbon-dioxide
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    Dataset updated
    Oct 1, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Contiguous United States, Alaska, United States
    Description

    These geospatial data and their accompanying report outline many areas of coal in the United States beneath more than 3,000 ft of overburden. Based on depth, these areas may be targets for injection and storage of supercritical carbon dioxide. Additional areas where coal exists beneath more than 1,000 ft of overburden are also outlined; these may be targets for geologic storage of carbon dioxide in conjunction with enhanced coalbed methane production. These areas of deep coal were compiled as polygons into a shapefile for use in a geographic information system (GIS). The coal-bearing formation names, coal basin or field names, geographic provinces, coal ranks, coal geologic ages, and estimated individual coalbed thicknesses (if known) of the coal-bearing formations were included. An additional point shapefile, coal_co2_projects.shp, contains the locations of pilot projects for carbon dioxide injection into coalbeds. This report is not a comprehensive study of deep coal in the United States. Some areas of deep coal were excluded based on geologic or data-quality criteria, while others may be absent from the literature and still others may have been overlooked by the authors.

  19. d

    Massachusetts Bay and adjacent land: Polygon boundaries for source data of a...

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Nov 20, 2025
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    U.S. Geological Survey (2025). Massachusetts Bay and adjacent land: Polygon boundaries for source data of a continuous bathymetry and topography terrain model of the Massachusetts coastal zone and continental shelf: (Esri polygon shapefile, Geographic, NAD 83). [Dataset]. https://catalog.data.gov/dataset/massachusetts-bay-and-adjacent-land-polygon-boundaries-for-source-data-of-a-continuous-bat
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    Dataset updated
    Nov 20, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Massachusetts Bay, Massachusetts
    Description

    Integrated terrain models covering 16,357 square kilometers of the Massachusetts coastal zone and offshore waters were built to provide a continuous elevation and bathymetry terrain model for ocean planning purposes. The area is divided into the following four geographical areas to reduce file size and facilitate publishing: Massachusetts Bay from the Massachusetts-New Hampshire border south to Provincetown and Scituate and east to Stellwagen Bank; Cape Cod Bay from Provincetown to Scituate and south to Hyannis; Buzzards Bay from the Cape Cod Canal southwest to the State border including the Elizabeth Islands and extending north to Fall River and Mount Hope Bay; and Nantucket and Vineyard Sounds, from Hyannis south to the border of the Massachusetts Coastal zone approximately 8 kilometers south of Nantucket. A Triangulated Irregular Network was created from public-domain bathymetric and LiDAR data using the ArcGIS terrain-model framework and then interpolated into a 32-bit GeoTiff of 10 meter resolution. The grids for each of the four geographical areas are referenced to the Universal Transverse Mercator, Zone 19, North American Datum of 1983 coordinate system, and the North American Vertical Datum of 1988. A polygon shapefile recording the source datasets accompanies each of the four grids.

  20. d

    Continental Divide Trail

    • catalog.data.gov
    • gstore.unm.edu
    • +1more
    Updated Dec 2, 2020
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    Earth Data Analysis Center (EDAC) (Point of Contact) (2020). Continental Divide Trail [Dataset]. https://catalog.data.gov/dataset/continental-divide-trail
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    Dataset updated
    Dec 2, 2020
    Dataset provided by
    Earth Data Analysis Center (EDAC) (Point of Contact)
    Area covered
    Continental Divide Trail
    Description

    This shapefile was created to show the proximity of the Continental Divide to the Continental Divide National Scenic Trail in New Mexico. This work was done as part of Kurt Menke's Masters Thesis in Geography at the University of New Mexico.

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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 Block Group for United States, 1:500,000 [Dataset]. https://catalog.data.gov/dataset/2022-cartographic-boundary-file-shp-current-block-group-for-united-states-1-500000
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2022 Cartographic Boundary File (SHP), Current Block Group for United States, 1:500,000

Explore at:
Dataset updated
Dec 14, 2023
Dataset provided by
United States Census Bureauhttp://census.gov/
Area covered
United States
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. Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same decennial census. For example, tabulation blocks numbered 3001, 3002, 3003,.., 3999 within census tract 1210.02 are also within BG 3 within that census tract. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A BG usually covers a contiguous area but never crosses county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas. The generalized BG boundaries in this release are based on those that were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

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