100+ datasets found
  1. Continental Mapping Of African Sand Mining Shows Contrasting Links To Urban...

    • zenodo.org
    csv
    Updated Jan 27, 2025
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    Nakiya Noorbhai; Nakiya Noorbhai; Mette Bendixen; Iversen Lars; Zhu Joy; Kübler Simon; Mette Bendixen; Iversen Lars; Zhu Joy; Kübler Simon (2025). Continental Mapping Of African Sand Mining Shows Contrasting Links To Urban Development [Dataset]. http://doi.org/10.5281/zenodo.13334410
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    csvAvailable download formats
    Dataset updated
    Jan 27, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Nakiya Noorbhai; Nakiya Noorbhai; Mette Bendixen; Iversen Lars; Zhu Joy; Kübler Simon; Mette Bendixen; Iversen Lars; Zhu Joy; Kübler Simon
    Description

    Continental African sand mining detection data used in 'Continental Mapping Of African Sand Mining Shows Contrasting Links To Urban Development'

  2. U

    Continental Margin Mapping Program (CONMAP) sediments grainsize distribution...

    • data.usgs.gov
    • datasets.ai
    • +3more
    Updated Jan 22, 2025
    + more versions
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    U.S. Geological Survey (2025). Continental Margin Mapping Program (CONMAP) sediments grainsize distribution for the United States East Coast Continental Margin (CONMAPSG) [Dataset]. https://data.usgs.gov/datacatalog/data/USGS:cecb9691-1d98-4178-a20b-e7606e537fc2
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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
    1982 - 1999
    Area covered
    United States, East Coast of the United States
    Description

    Sediments off the eastern United States vary markedly in texture - the size, shape, and arrangement of their grains. However, for descriptive purposes, it is typically most useful to classify these sediments according to their grain-size distributions. Starting in 1962, the U.S. Geological Survey (USGS) and the Woods Hole Oceanographic Institution (WHOI) began a joint program to study the marine geology of the continental margin off the Atlantic coast of the United States. As part of this program and numerous subsequent projects, thousands of sediment samples were collected and analyzed for particle size. The sediment map of the Continental Margin Mapping Program (CONMAP) series is a compilation of grain-size data produced in the sedimentation laboratory of the Woods Hole Science Center (WHSC) of the Coastal and Marine Geology Program (CMGP) of the U.S. Geological Survey (USGS) and from both published and unpublished studies. Sediment was classified using the Wentworth (1929) gr ...

  3. Z

    Land surface phenology based crop maps for Continental United States...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Sep 27, 2020
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    Kumar, JItendra (2020). Land surface phenology based crop maps for Continental United States 2000-2018 [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3478335
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    Dataset updated
    Sep 27, 2020
    Dataset provided by
    Konduri, Venkata Shashank
    Hargrove, William W.
    Ganguly, Auroop R.
    Kumar, JItendra
    Hoffman, Forrest M.
    License

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

    Area covered
    Contiguous United States, United States
    Description

    This data collection contains annual maps of crop types for Continental United States for the period 2000-2018 at spatial resolution of ~231m derived using MODIS Land Surface Phenology. This data collection is a companion to the paper Konduri, V., Kumar, J., Hargrove, W. W., Hoffman, F. M., Ganguly, A. R. (2020) Mapping Crops Within the Growing Season Across the United States. Remote Sensing of Environment (in revision), which describes the methodology for development of these datasets, validation metrics and analysis.

    Files in collection (20):

    crop_map_predicted_[YEAR].nc: Annual crop type maps for YEAR = 2000-2018

    Crop_map_legend.csv: Legend for crop type categories in the maps (Category numbers and legends for crop types are consistent with those used by USDA Crop Data Layer)

    Data formats:

    Annual crop type maps are in gridded NetCDF format.

    Projection for geospatial data (in PROJ4 format):

    PROJCS["US_National_Atlas_Equal_Area", GEOGCS["sphere", DATUM["unknown", SPHEROID["Spherical_Earth",6370997,"inf"]], PRIMEM["Greenwich",0], UNIT["degree",0.0174532925199433]], PROJECTION["Lambert_Azimuthal_Equal_Area"], PARAMETER["latitude_of_center",45], PARAMETER["longitude_of_center",-100], PARAMETER["false_easting",0], PARAMETER["false_northing",0], UNIT["Meter",1]]

    Paper Citation:

    Konduri, V., Kumar, J., Hargrove, W. W., Hoffman, F. M., Ganguly, A. R. (2020) Mapping Crops Within the Growing Season Across the United States. Remote Sensing of Environment (in revision)

  4. a

    Cross-Continental Sustainable Governance Mapping

    • hub.arcgis.com
    Updated Apr 3, 2024
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    Northeastern University (2024). Cross-Continental Sustainable Governance Mapping [Dataset]. https://hub.arcgis.com/maps/c1480de573dc4a40b63b584652d358e5
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    Dataset updated
    Apr 3, 2024
    Dataset authored and provided by
    Northeastern University
    Area covered
    Description

    The maps contain information on the progress made by Southeast Asia and West Africa on UNSDG 1 and 4 mapped across 2018-2023. Created as part of graduate student project for Global Governance course supervised by Dr. Denise Garcia. Created by Nidhi Polekar, Orlane Bisamaza, Emily Tychoniak.

  5. 2012 FWS Lidar DEM: Wapato, OR

    • fisheries.noaa.gov
    geotiff
    Updated Dec 11, 2019
    + more versions
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    OCM Partners (2019). 2012 FWS Lidar DEM: Wapato, OR [Dataset]. https://www.fisheries.noaa.gov/inport/item/58312
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    geotiffAvailable download formats
    Dataset updated
    Dec 11, 2019
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    May 15, 2012
    Area covered
    Description

    Continental Mapping Consultants, Inc. (CMC) acquired LiDAR data and imagery for the Tualatin National Wildlife Refuge on May 15, 2012. The project area was expanded to include a 100m buffer around the area of interest to ensure complete coverage. The dataset encompasses 19.24 square miles in the Tualatin National Wildlife Refuge, Wapato, Oregon. The lidar was collected with a pulse density of...

  6. United States Continental Divide

    • usfs.hub.arcgis.com
    Updated Apr 3, 2023
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    U.S. Forest Service (2023). United States Continental Divide [Dataset]. https://usfs.hub.arcgis.com/datasets/usfs::wsreligevaldatalayers?layer=3
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    Dataset updated
    Apr 3, 2023
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    U.S. Forest Service
    Area covered
    United States,
    Description


    The Continental Divide in the Americas is the line that divides the flow of water between the Pacific Ocean and the Atlantic Ocean. Rain or snow that drains on the east side of the Continental Divide flows toward the Atlantic Ocean. Precipitation on the west side drains and flows toward the Pacific Ocean.

  7. d

    Okeanos Explorer (EX1903L1): Southeastern US Atlantic Continental Margin...

    • catalog.data.gov
    • cloud.csiss.gmu.edu
    • +1more
    Updated Oct 19, 2024
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    (Principal Investigator) (2024). Okeanos Explorer (EX1903L1): Southeastern US Atlantic Continental Margin Mapping [Dataset]. https://catalog.data.gov/dataset/okeanos-explorer-ex1903l1-southeastern-us-atlantic-continental-margin-mapping2
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    Dataset updated
    Oct 19, 2024
    Dataset provided by
    (Principal Investigator)
    Area covered
    Southeastern United States, United States
    Description

    Acoustic sonar and oceanographic data from the oceanographic and acoustic sensors aboard - multibeam bathymetry, single beam sonar, XBT, CTD, Scientific Computing System, sub-bottom profiler.

  8. 2017 FEMA Lidar: Branch and Calhoun Counties, MI

    • fisheries.noaa.gov
    las/laz - laser
    Updated Sep 1, 2017
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    OCM Partners (2017). 2017 FEMA Lidar: Branch and Calhoun Counties, MI [Dataset]. https://www.fisheries.noaa.gov/inport/item/60108
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    las/laz - laserAvailable download formats
    Dataset updated
    Sep 1, 2017
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    Mar 22, 2017 - Apr 24, 2017
    Area covered
    Description

    The Federal Emergency Management Agency (FEMA) required high accuracy classified LiDAR data in combination with raster digital elevation models and hydrographic breaklines. For this effort, Continental Mapping Consultants (Continental) collected and processed high accuracy classified LiDAR data in .LAS format as well as a combination of raster digital elevation models.

    Branch County: Acquired...

  9. f

    Geological map of Continental Part of Vietnam (2nd ed.)

    • data.apps.fao.org
    Updated Jul 2, 2024
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    (2024). Geological map of Continental Part of Vietnam (2nd ed.) [Dataset]. https://data.apps.fao.org/map/catalog/srv/resources/datasets/e6a271c0-88fd-11da-a88f-000d939bc5d8
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    Dataset updated
    Jul 2, 2024
    Area covered
    Vietnam
    Description

    Geological map of Continental Part of Vietnam (2nd ed.); Description of the mapping units; (2 Sheets)

  10. Data from: Digital Geologic Map of the Penokean Continental Margin, Northern...

    • data.doi.gov
    • search.dataone.org
    Updated Mar 22, 2021
    + more versions
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    Eastern Mineral Resources, USGS, Department of the Interior (Point of Contact) (2021). Digital Geologic Map of the Penokean Continental Margin, Northern Michigan and Wisconsin [Dataset]. https://data.doi.gov/dataset/digital-geologic-map-of-the-penokean-continental-margin-northern-michigan-and-wisconsin
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    Dataset updated
    Mar 22, 2021
    Dataset provided by
    United States Department of the Interiorhttp://www.doi.gov/
    Area covered
    Wisconsin, Michigan
    Description

    The data on this CD consist of geographic information system (GIS) coverages and tabular data on the geology of Early Proterozoic and Archean rocks in part of the Early Proterozoic Penokean orogeny. The map emphasizes metasedimentary and metavolcanic rocks that were deposited along the southern margin of the Superior craton and were later deformed during continental collision at about 1850 Ma. The area includes the famous iron ranges of the south shore region of the Lake Superior district. Base maps, both as digital raster graphics (DRG) and digital line graphs (DLG) are also provided for the convenience of users. The map has been compiled from many individual studies, mostly by USGS researchers, completed during the past 50 years, including many detailed (1:24,000 scale) geologic maps. Data was compiled at 1:100,000 scale and preserves most of the details of source materials. This product is a preliminary release of the geologic map data bases during ongoing studies of the geology and metallogeny of the Penokean continental margin. Files are provided in three formats: Federal Spatial Data Transfer format (SDTS), Arc export format (.e00) files, and Arc coverages. All files can be accessed directly from the CD-ROM using either ARC/INFO 7.1.2 or later or Arc View 3.0 or later software. ESRI's Arc Explorer, a free GIS data viewer also provides display and querying capability for these files.

  11. World Continents

    • hub.arcgis.com
    • pacificgeoportal.com
    • +1more
    Updated May 5, 2022
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    Esri (2022). World Continents [Dataset]. https://hub.arcgis.com/datasets/esri::world-continents/about
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    Dataset updated
    May 5, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    World,
    Description

    World Continents represents the boundaries for the continents of the world. It provides a basemap layer of the continents, delivering a straightforward method of selecting a small multicountry area for display or study.This layer is best viewed out beyond a scale of 1:3,000,000. The original source was extracted from the ArcWorld Supplement database in 2001 and updated as country boundaries coincident to regional boundaries change. To download the data for this layer as a layer package for use in ArcGIS desktop applications, refer to World Continents.

  12. s

    Africa (Raster Image)

    • searchworks.stanford.edu
    zip
    Updated Jun 13, 2025
    + more versions
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    (2025). Africa (Raster Image) [Dataset]. https://searchworks.stanford.edu/view/gk357zj6283
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    zipAvailable download formats
    Dataset updated
    Jun 13, 2025
    License

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

    Description

    This historic paper map provides an historical perspective of the cultural and physical landscape during this time period. The wide range of information provided on these maps make them useful in the study of historic geography. As this map has been georeferenced, it also can be used as a background layer in conjunction with other GIS data.

  13. d

    An updated stress map of the continental U.S. reveals heterogeneous...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). An updated stress map of the continental U.S. reveals heterogeneous intraplate stress [Dataset]. https://catalog.data.gov/dataset/an-updated-stress-map-of-the-continental-u-s-reveals-heterogeneous-intraplate-stress
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Contiguous United States, United States
    Description

    Earthquake focal mechanisms and stress inversion results for the conterminous United States.

  14. d

    Continental Mine 3rd Level

    • datadiscoverystudio.org
    pdf
    Updated May 7, 2014
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    C. S. H. (2014). Continental Mine 3rd Level [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/6b8a2f7bf6fb47d1810f723bdfef11cd/html
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    pdfAvailable download formats
    Dataset updated
    May 7, 2014
    Authors
    C. S. H.
    Area covered
    Description

    ADMMR map collection: Continental Mine 3rd Level; 1 in. to 50 feet; 24 x 19 in.

  15. 4

    100-year flood susceptibility maps for the continental U.S. derived with a...

    • data.4tu.nl
    • figshare.com
    zip
    Updated Jan 3, 2017
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    Caterina Samela (2017). 100-year flood susceptibility maps for the continental U.S. derived with a geomorphic method [Dataset]. http://doi.org/10.4121/uuid:4dc7ef9f-80d0-4b78-8161-ca35f215d547
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    zipAvailable download formats
    Dataset updated
    Jan 3, 2017
    Dataset provided by
    University of Basilicata
    Authors
    Caterina Samela
    License

    https://doi.org/10.4121/resource:terms_of_usehttps://doi.org/10.4121/resource:terms_of_use

    Area covered
    United States
    Description

    Binary raster dataset (.txt format) containing flood susceptibility maps related to 100-year river floods occurring in the continental U.S. These mapping products were derived through terrain analysis and a technique of pattern classification performed on DEMs obtained from HydroSHEDS (http://hydrosheds.cr.usgs.gov/overview.php) with a 3 arc-second resolution (0.00083333 degree, approximatively 90 m at the equator). Specifically, the flood-prone areas were identified by applying a linear binary classifier based upon the Geomorphic Flood Index (Manfreda et al., 2015; Samela et al., 2015; Samela et al., 2016 ). The raster maps have a 90 m resolution and are geo-referenced. The coordinate system of the maps is UTM (Universal Transverse Mercator) Zone 17N, the projection is Transverse Mercator, and the geodetic system is NAD (North American Datum) 1983. To simplify the management and the use of the data, the continental U.S. was divided into eighteen major water resources regions according to the hydrologic units identified by the United States Geological Survey.

  16. s

    Africa (Raster Image)

    • searchworks.stanford.edu
    zip
    Updated Sep 16, 2021
    + more versions
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    (2021). Africa (Raster Image) [Dataset]. https://searchworks.stanford.edu/view/qf941zk2030
    Explore at:
    zipAvailable download formats
    Dataset updated
    Sep 16, 2021
    License

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

    Description

    This historic paper map provides an historical perspective of the cultural and physical landscape during this time period. The wide range of information provided on these maps make them useful in the study of historic geography. As this map has been georeferenced, it also can be used as a background layer in conjunction with other GIS data.

  17. d

    Outer Continental Shelf (OCS) Protraction Diagrams & Leasing Maps

    • catalog.data.gov
    Updated Nov 2, 2022
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    HIFLD (2022). Outer Continental Shelf (OCS) Protraction Diagrams & Leasing Maps [Dataset]. https://catalog.data.gov/dataset/outer-continental-shelf-ocs-protraction-diagrams-leasing-maps
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    Dataset updated
    Nov 2, 2022
    Dataset provided by
    HIFLD
    Description

    Homeland Infrastructure Foundation-Level Data (HIFLD) geospatial data sets containing information on Outer Continental Shelf (OCS) Protraction Diagrams & Leasing Maps.

  18. s

    Continental Margin Mapping (CONMAP) Sediments Grain Size Distribution, East...

    • searchworks.stanford.edu
    zip
    Updated May 11, 2021
    + more versions
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    (2021). Continental Margin Mapping (CONMAP) Sediments Grain Size Distribution, East Coast Continental Margin, United States, 1982-1989 [Dataset]. https://searchworks.stanford.edu/view/mh652bh8460
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    zipAvailable download formats
    Dataset updated
    May 11, 2021
    Area covered
    East Coast of the United States, United States
    Description

    The purpose of the CONMAPSG sediment layer is to show the sediment grain size distributions. The maps depicted in this series are old and do not accurately depict small-scale sediment distributions or sea-floor variability. This data layer is supplied primarily as a gross overview and to show general textural trends.

  19. C

    Outer Continental Shelf Submerged Lands Act Boundary - Pacific Region - West...

    • data.cnra.ca.gov
    • data.amerigeoss.org
    Updated May 8, 2019
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    Ocean Data Partners (2019). Outer Continental Shelf Submerged Lands Act Boundary - Pacific Region - West Coast NAD83 [Dataset]. https://data.cnra.ca.gov/dataset/outer-continental-shelf-submerged-lands-act-boundary-pacific-region-west-coast-nad83
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    Dataset updated
    May 8, 2019
    Dataset authored and provided by
    Ocean Data Partners
    Description

    This data set contains the Submerged Lands Act (SLA)boundary line (also known as the State Seaward Boundary (SSB) and Fed State Boundary) for the BOEM Pacific Region in ESRI ArcGIS shape file format. The SLA defines the seaward limit of a state owned submerged lands and the landward boundary of federally managed Outer Continental Shelf (OCS) lands. In the BOEM Pacific Region the SLA is projected 3 nautical miles offshore from the coastal baseline. Further information on the SLA and development of this line from baseline points can be found in OCS Report BOEM 99-0006: Boundary Development on the Outer Continental Shelf. The SLA boundary was developed using nautical charts, topographic maps, and hydrographic surveys to identify coastal baseline points. For California, there was a wide range of map scales used (1:200 – 1:100,000). The Minerals Management Service (MMS - the predecessor bureau to BOEM) used mapping software that was developed in-house to mathematically project the SLA boundary 3 nautical miles seaward from the baseline. For purposes of the SLA, all coordinates are assumed as absolute values with a precision of three decimals of a meter. For purposes other than the SLA, the actual positional precision for a scale of 1:40,000 is approximately 23 meters. In 1992, MMS adopted NADCON v.2.00 or better as the bureau standard horizontal datum transformation software, and reiterated that, for its purposes, “the World Geodetic System of 1984 (WGS 84) is considered equivalent to NAD 83 offshore of Alaska and the conterminous United States.” 57 Fed. Reg. 5168 (February 12, 1992). On December 24, 2014, the SLA boundary offshore of California was fixed (permanently immobilized) by a decree issued by the U.S. Supreme Court. United States v. California, 135 S. Ct. 563 (2014). For a detailed discussion on the fixing of the SLA boundary for California, please see http://www.boem.gov/Oil-and-Gas-Energy-Program/Mapping-and-Data/Multi-Purpose-Marine-Cadastre-Map-Viewer/Court-Decisions.aspx Because GIS projection and topology functions can change or generalize coordinates, these GIS shape files are NOT an OFFICIAL record for the exact Submerged Lands Act Boundary.The official record is reflected through the coordinates listed in the decree, and the boundary shown on the BOEM Supplemental Official Block Diagrams, which are available at http://www.boem.gov/Oil-and-Gas-Energy-Program/Mapping-and-Data/Pacific.aspx

  20. d

    Regional-Scale Forest Management Maps for the Continental United States

    • search.dataone.org
    • doi.pangaea.de
    Updated Feb 14, 2018
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    Marsik, Matthew; Staub, Caroline; Kleindl, William; Fu, Chiung-Shiuan; Hall, Jaclyn; Yang, Di; Stevens, Forrest R; Binford, Michael (2018). Regional-Scale Forest Management Maps for the Continental United States [Dataset]. http://doi.org/10.1594/PANGAEA.880304
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    Dataset updated
    Feb 14, 2018
    Dataset provided by
    PANGAEA Data Publisher for Earth and Environmental Science
    Authors
    Marsik, Matthew; Staub, Caroline; Kleindl, William; Fu, Chiung-Shiuan; Hall, Jaclyn; Yang, Di; Stevens, Forrest R; Binford, Michael
    Area covered
    Description

    One main challenge in environmental and ecological research is to map land use, the human intent to modify the earth's cover, using satellite data. We have mapped forest management, a land use, in the southeastern and northwestern United States, 1.5 million square kilometers, at high spatial. This is a novel study using spectral time series analysis, expert derived training data and a random forest classifier to map forest management, calculate probability and uncertainty of class membership.

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Nakiya Noorbhai; Nakiya Noorbhai; Mette Bendixen; Iversen Lars; Zhu Joy; Kübler Simon; Mette Bendixen; Iversen Lars; Zhu Joy; Kübler Simon (2025). Continental Mapping Of African Sand Mining Shows Contrasting Links To Urban Development [Dataset]. http://doi.org/10.5281/zenodo.13334410
Organization logo

Continental Mapping Of African Sand Mining Shows Contrasting Links To Urban Development

Explore at:
csvAvailable download formats
Dataset updated
Jan 27, 2025
Dataset provided by
Zenodohttp://zenodo.org/
Authors
Nakiya Noorbhai; Nakiya Noorbhai; Mette Bendixen; Iversen Lars; Zhu Joy; Kübler Simon; Mette Bendixen; Iversen Lars; Zhu Joy; Kübler Simon
Description

Continental African sand mining detection data used in 'Continental Mapping Of African Sand Mining Shows Contrasting Links To Urban Development'

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