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Federal
Compilation of Geospatial Data (GIS) for the Mineral Industries and Related Infrastructure of Africa
Department of the Interior —
This geodatabase reflects the U.S. Geological Survey’s (USGS) ongoing commitment to its mission of understanding the nature and distribution of global mineral... -
Federal
National Hydrography Dataset Plus High Resolution (NHDPlus HR) - USGS National Map Downloadable Data Collection
Department of the Interior —
The High Resolution National Hydrography Dataset Plus (NHDPlus HR) is an integrated datset of geospatial data layers, including the most current National Hydrography... -
Federal
Marine mineral geochemical data - Part One: Pacific Ocean USGS-affiliated historical data
Department of the Interior —
This data release compiles element composition data for more than 600 deep-ocean mineral samples from more than 25 research cruises in the Pacific Ocean since 1979... -
Federal
The Reynolds Creek Long-Term Dataset: A long-term meteorological dataset derived from station observations in the Reynolds Creek Experimental Watershed
Department of Agriculture —
AbstractA forty-year gridded meteorological forcing dataset spanning the water years 1984 to 2023 (October 1st to September 30th) has been compiled for the Reynolds... -
Federal
Geology of the Grandfather Mountain Window and Vicinity, North Carolina and Tennessee
Department of the Interior —
The Blue Ridge belt in northwestern North Carolina and northeastern Tennessee is composed chiefly of 1,000-million to 1,100-million-year-old metamorphic and plutonic... -
Federal
Projected flood water depths on Roi-Namur, Kwajalein Atoll, Republic of the Marshall Islands
Department of the Interior —
Projected future wave-driven flooding depths on Roi-Namur Island on Kwajalein Atoll in the Republic of the Marshall Islands for a range of climate-change scenarios.... -
Federal
Database for the geologic map of the South Boston 30' x 60' Quadrangle, Virginia and North Carolina
Department of the Interior —
The 1:100,000-scale geologic map of the South Boston 30' x 60' quadrangle, Virginia and North Carolina, provides geologic information for the Piedmont along the I-85... -
Federal
Projections of compound floodwater depths for the lower Nooksack River and delta, western Washington State
Department of the Interior —
Computed flood depths associated with the combined influence of sea level position, tides, storm surge, and streamflow under existing conditions and projected future... -
Federal
Unprocessed aerial imagery from 11 March 2019 coastal survey of Central California.
Department of the Interior —
This is a set of 1967 oblique aerial photogrammetric images and their derivatives, collected from Monterey to Big Sur with a fixed-lens digital camera from a crewed... -
Federal
Digital elevation models of the coast of Alaska from Icy Cape to Cape Prince of Wales, 2016
Department of the Interior —
This part of the data release presents digital elevation models (DEMs) spanning the ocean shoreline of Alaska from Icy Cape to Cape Prince of Wales. Aerial images... -
Federal
Projections of coastal flood hazards and flood potential for North Carolina and South Carolina
Department of the Interior —
Projected impacts by compound coastal flood hazards for future sea-level rise (SLR) and storm scenarios are shown for North Carolina and South Carolina. Accompanying... -
Federal
CoSMoS (Coastal Storm Modeling System) Central California v3.1 flood depth and duration projections: 100-year storm in San Mateo County
Department of the Interior —
This data contains maximum depth of flooding (cm) in the region landward of the present-day shoreline for the sea-level rise (SLR) and storm condition indicated. The... -
Federal
Hydrologic, water-quality, fire, forest-cover, and other data, the Great Dismal Swamp, Virginia and North Carolina
Department of the Interior —
The Great Dismal Swamp (the swamp) is a forested peatland in southeastern Virginia and northeastern North Carolina. Since early colonial times, timber harvesting and... -
Federal
Unprocessed aerial imagery from 6 January 2023 coastal-landslides survey of Central California.
Department of the Interior —
This is a set of 8762 oblique aerial photogrammetric images and their derivatives, collected from San Francisco to Ragged Point with a fixed-lens digital camera from... -
Federal
Basin characteristics rasters for New Jersey StreamStats 2022
Department of the Interior —
The U.S. Geological Survey (USGS), in cooperation with the New Jersey Department of Environmental Protection (NJDEP), calculated several basin characteristics as part... -
Federal
Coast Train--Labeled imagery for training and evaluation of data-driven models for image segmentation
Department of the Interior —
Coast Train is a library of images of coastal environments, annotations, and corresponding thematic label masks (or ‘label images’) collated for the purposes of... -
Federal
Projected sea-level rise flooding inundation extents for 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in the Hawaiian Islands (ver. 1.1, February 2025)
Department of the Interior —
This data release provides flooding extent polygons based on potential future sea-level rise (SLR) water levels for the coast of the most populated Hawaiian Islands... -
Federal
RGB-averaged orthoimagery of coastal North Carolina, from 2020-02-08 to 2020-02-09
Department of the Interior —
RGB-averaged orthoimages were created from aerial imagery collected February 08 and 09, 2020, along the North Carolina coast between the Virginia-North Carolina... -
Federal
Northern California cross-shore transects for CoSMoS 3.2
Department of the Interior —
Cross-shore transects (CSTs) developed for Coastal Storm Model (CoSMoS) work in Northern California 3.2 are presented. 3,528 CSTs are numbered consecutively from 8067... -
Federal
Projected groundwater emergence and shoaling in coastal areas around Puget Sound, Washington
Department of the Interior —
Groundwater emergence and shoaling extents are derived from water table depth GeoTIFFs, which are calculated as steady-state groundwater model heads subtracted from...