AndreaBozzo/ceres-open-data-index huggingface dataset:
Location of Sea-Floor Photographs Acquired During U.S. Geological Survey (USGS) Cruise 2012-002-FA in Block Island Sound (2012-002_023BOTPHOTOS shapefile, Geographic)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetric and sidescan-sonar data, originally collected by NOAA for charting purposes, provide a fundamental framework for research and management activities along this part of Block Island Sound, show the composition and terrain of the seabed, and provide information on sediment transport and benthic habitat. During June 2012, bottom photographs and surficial sediment data were acquired as part of a ground-truth reconnaissance survey of this area. Interpretations were derived from the multibeam-echosounder, sidescan-sonar, sedimentary, and photographic data collected in Block Island Sound. For more information on the ground-truth survey see &lt;http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2012-002-FA&gt;.

Tags: atlantic-ocean, block-island-sound, bottom-photograph-locations, cmgp, coastal-and-marine-geology-program, esri-shapefile, field-activity-number-2012-002-fa, geoscientificinformation, geospatial-datasets, ground-truth, info-bank-id-r-02-12-li, location, navigational-data, north-america, oceans, ofr-2013-1003, open-file-report-2013-1003, photo-locations, point-shapefile, r-v-rafael, rhode-island, sea-floor, seaboss, stations, u-s-east-coast, u-s-geological-survey, underwater-photography, united-states, usgs, usgs-a1c49e16-6e51-4deb-8a6b-7aaa1949b834, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
2018 East Coast (VA, NC, SC) USACE NCMP Post-Florence Topobathy Lidar-Derived Dune Crest, Toe, and Shoreline

The storm-induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards (NACCH) project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Light detection and ranging (lidar)-derived beach morphologic features such as dune crest, toe, and shoreline help define the vulnerability of the beach to storm impacts. This dataset defines the elevation and position of the seaward-most dune crest and toe and the mean high-water shoreline derived from the 2018 United States Army Corps of Engineers (USACE) National Coastal Mapping Project (NCMP) Post-Florence Topobathy Lidar: Southeast Coast lidar survey. Beach width is included and is defined as the distance between the dune toe and shoreline along a cross-shore profile. The beach slope is calculated using this beach width and the elevation of the shoreline and dune toe.

Tags: atlantic-ocean, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, elevation, environment, geomorphology, geoscientificinformation, hazards, hurricanes, lidar, marine-geology, north-carolina, ocean-sciences, oceans, south-carolina, spcmsc, st-petersburg-coastal-and-marine-science-center, u-s-geological-survey, usgs, usgs-a1b6af3a-cdb1-4fbd-a5ee-af1ba7817287, virginia
Organization: Department of the Interior
OahuS_LT - Digital Shoreline Analysis System (DSAS) version 4.2 transects with long-term weighted linear regression rate calculations for the Oahu south region from Barbers Point to Sandy Beach, Hawaii

Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate.  Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion.  As a result, there is an increased demand for accurate information regarding past and present shoreline changes.  To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project.
There is no widely accepted standard for analyzing shoreline change.  Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments.  The impetus behind the National Assessment project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast.  The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner.

Tags: accretion, barbers-point-hawaii, baseline, cmgp, coastal-and-marine-geology-program, coastal-processes, continental-island-shore-complex, digital-shoreline-analysis-system, dsas, effects-of-coastal-change, endpoint-rate, environment, erosion, geoscientificinformation, hawaii, hawaii-ecoregion, historic-shoreline, national-assessment-of-shoreline-change-project, oahu, oceans, sandy-beach-hawaii, shoreline, shoreline-accretion, shoreline-change-rate, shoreline-erosion, south-oahu, transect, u-s-geological-survey, united-states, university-of-hawaii-coastal-geology-group, usgs, usgs-a192ca16-7d63-4ed5-ba70-02ba19deec41, weighted-linear-regression-rate, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Chirp seismic-reflection data collected in the San Pedro Basin, offshore of southern California, from 2009-07-06 to 2009-07-10 (USGS field activity S-5-09-SC)

This dataset includes raw and processed, high-resolution seismic-reflection data collected in 2009 to explore a possible connection between the San Diego Trough Fault and the San Pedro Basin Fault. The survey is in the San Pedro Basin between Santa Catalina Island and San Pedro, California. The data were collected aboard the U.S. Geological Survey R/V Parke Snavely. The seismic-reflection data were acquired using an EdgeTech 512 chirp subbottom profiler. Subbottom acoustic penetration spanned tens to about 50 meters, variable by location.

Tags: bathymetry, bathymetry-and-elevation, chirp, cmg, cmgp, coastal-and-marine-geology-program, continental-margins, geoscientificinformation, los-angeles-county, oceans, orange-county, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, san-pedro, santa-catalina-island, seismic-reflection-profiling, state-of-california, sub-bottom-profiling, u-s-geological-survey, usgs, usgs-a1911d43-2c96-4648-be13-1a67fbbad95f
Organization: Department of the Interior
Vegetation survey in a coastal marsh at the Grand Bay National Estuarine Research Reserve, Mississippi

To better understand sediment deposition in marsh environments, scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center (USGS-SPCMSC) selected four study sites (Sites 5, 6, 7, and 8) along the Point Aux Chenes Bay shoreline of the Grand Bay National Estuarine Research Reserve, Mississippi (GNDNERR). These datasets were collected to serve as baseline data prior to the installation of a living shoreline (a subtidal sill). Each site consisted of five plots located along a transect perpendicular to the marsh-estuary shoreline at 5-meter (m) increments (5, 10, 15, 20, and 25 m from the shoreline). Each plot contained four net sedimentation tiles (NST) that were secured flush to the marsh surface using polyvinyl chloride (PVC) pipe. NST are an inexpensive and simple tool to assess short- and long-term deposition that can be deployed in highly dynamic environments without the compaction associated with traditional coring methods. The NST were deployed for three month sampling periods, measuring sediment deposition from July 2018 to January 2020, with one set of NST being deployed for six months. Sediment deposited on the NST were processed to determine physical characteristics, such as deposition thickness, volume, wet weight/dry weight, grain size, and organic content (loss-on-ignition [LOI]). For select sampling periods, ancillary data (water level, elevation, turbidity, and wave data) are also provided in this data release. Data were collected during Field Activities Numbers (FAN) 2018-332-FA (18CCT01), 2018-358-FA (18CCT10), 2019-303-FA (19CCT01, 19CCT02, 19CCT03, and 19CCT04, respectively), and 2020-301-FA (20CCT01). Additional survey and data details are available from the U.S. Geological Survey Coastal and Marine Geoscience Data System (CMGDS) at, https://cmgds.marine.usgs.gov/. Data from a related NST study in the GNDNERR (Middle Bay and North Rigolets) can be found in Smith and others (2020). Data collected after the living shoreline (subtidal sill) installation can be found in Terrano and others (2025). For additional information on data processing and analysis, refer to the accompanying journal publication Smith and others (2025). Please read the full metadata for details on data collection, dataset variables, and data quality.

Tags: coastal-processes, deposition, environment, geology, geomorphology, geoscientificinformation, grand-bay-national-estuarine-research-reserve, gulf-of-mexico, land-use-and-land-cover, marsh, mississippi, nerr, net-sedimentation-tile, nst, oceans, physical-parameters, plot-sampling, sediment, sediment-plate, spcmsc, surface, u-s-geological-survey, u-s-geological-survey-st-petersburg-coastal-and-marine-science-center, unconsolidated-deposits, united-states, usgs, usgs-a1888bbc-b5f1-413a-a1f9-8a560a92f6fa, vegetation, wetland-ecosystems
Organization: Department of the Interior
1990 point population coverage for the Conterminous United States

This is a point coverage of the 1990 Census of Population and
Housing for the conterminous United States.  (Alaska and Hawaii are
available separately).  The coverage contains the location of
population points retrieved at the block group summary level and
shows the total number of persons and housing units enumerated in
the "100 percent processing" component of the decennial census.
The data was extracted from CD-ROMs containing Public Law 94-171
counts.  These are counts that States use in redistricting.

Tags: environment, geoscientificinformation, housing, inlandwaters, population, united-states, usgs-a1870135-3ed6-453f-9d0d-6c661132f616
Organization: Department of the Interior
Sea Turtle Nesting Decision Points and Cross-Shore Beach Profile Data Collected on July 17, 2018, from Jensen Beach, Florida

On July 17, 2018, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jensen Beach, Florida. This dataset, Jensen_20180717.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown and others, 2018), data were acquired by USGS scientists walking along cross-shore transect lines while carrying a survey backpack that was equipped with a Global Navigation Satellite System (GNSS) receiver and GNSS antenna. The horizontal position data are provided in the Universal Transverse Mercator (UTM) coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD83), and the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD88), GEOID12B.

Tags: altimetry, beach, cmhrp, coastal-and-marine-hazards-and-resources-program, distributions, earth-science-gt-land-surface-gt-topography-gt-terrain-elevation, earth-science-gt-oceans-gt-coastal-processes-gt-beaches, elevation, elevation-data, florida, geology, geomorphology, geoscientificinformation, global-navigation-satellite-system-gnss-observations, gnss-measurement, marine-geology, oceans, providers-gt-government-agencies-u-s-federal-agencies-gt-doi-gt-usgs-gt-doi-usgs-cmg, south-atlantic, spcmsc, st-petersburg-coastal-and-marine-science-center, topographic-mapping, topography, u-s-geological-survey, united-states, usgs, usgs-a182bd28-dd59-40dc-a75a-288cc17a2f32
Organization: Department of the Interior
Digital Shoreline Analysis System version 4.3 transects and long-term linear regression shoreline change statistics without shorelines from 1970-1979 and 1994 in the Elizabeth Islands coastal region from Nonamesset Island southwest of Woods Hole to Cuttyhunk Island north of Martha's Vineyard (ElizabethIslands_transects_rates_LTwo.shp)

Due to continued coastal population growth and increased threats of erosion, current data on trends and rates of shoreline movement are required to inform shoreline and floodplain management. The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates at 40-meter intervals along ocean-facing sections of the Massachusetts coast.
The Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) in cooperation with the Massachusetts Office of Coastal Zone Management, has compiled reliable historical shoreline data along open-facing sections of the Massachusetts coast under the Massachusetts Shoreline Change Mapping and Analysis Project 2013 Update. Two oceanfront shorelines for Massachusetts (approximately 1,800 km) were (1) delineated using 2008/09 color aerial orthoimagery, and (2) extracted from topographic LIDAR datasets (2007) obtained from NOAA's Ocean Service, Coastal Services Center. The new shorelines were integrated with existing Massachusetts Office of Coastal Zone Management and USGS historical shoreline data in order to compute long- and short-term rates using the latest version of the Digital Shoreline Analysis System (DSAS).

Tags: accretion, atlantic-coast, baseline, cmgp, coastal-and-marine-geology-program, coastal-processes, cuttyhunk-island, digital-shoreline-analysis-system, dsas, elizabeth-islands, erosion, esri-polyline-shapefile, geoscientificinformation, geospatial-datasets, historic-shoreline, linear-regression-rate, long-term, lrr, massachusetts, massachusetts-office-of-coastal-zone-management, net-shoreline-movement, new-england, nonamesset-island, nsm, oceans, sce, shoreline, shoreline-change-envelope, shoreline-change-rate, transect, u-s-geological-survey, united-states, usgs, usgs-a17af29e-ddd0-4b6e-891e-cab9c400d525, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
JI_Q06.TIF - Johnston Island U.S. EEZ GLORIA sidescan-sonar data mosaic (6 of 16) (LCC, 50 m, WGS84)

In 1984, the U.S. Geological Survey (USGS), Office of Marine Geology, launched a program using the Geological LOng-Range Inclined Asdic (GLORIA) sidescan-sonar system to study the entire U.S. Exclusive Economic Zone (EEZ). From December 1990 through February 1991, the USGS and IOS (Institute of Oceanographic Sciences, U.K.) scientists conducted three surveys within the Johnston Atoll U.S. EEZ surrounding Johnston Island. The results of these surveys were 16 digital mosaics of a 2 degree by 2 degree area with a 50-meter pixel resolution.

Tags: acoustic-receivers, acoustic-reflectivity, akau-island, backscatter, central-pacific-ocean, cmgp, coastal-and-marine-geology-program, distributions, eez, exclusive-economic-zone, exclusive-economic-zone-eez, field-activity-number-f-1-91-cp, field-activity-number-f-13-90-cp, field-activity-number-f-2-91-cp, geological-long-range-inclined-asdic, geoscientificinformation, geotiff-image, gloria, gloria-gt-geological-long-range-inclined-asdic, grey-scale-image, hawaii-ecoregion, hikina-island, image-mosaics, imagerybasemapsearthcover, johnston-atoll-eez, johnston-atoll-exclusive-economic-zone, johnston-island, marine-basin-floor, marine-geology, marine-geophysics, marine-oceanic, oceans, oceans-gt-ocean-acoustics-gt-acoustic-reflectivity, oceans-gt-pacific-ocean-gt-central-pacific-ocean, physical-habitats-and-geomorphology, sand-island, sea-floor-acoustic-reflectivity, sea-floor-characteristics, seabed, side-scan-sonar, sidescan-sonar, sidescan-sonar-mosaic, u-s-geological-survey, usgs, usgs-a1f84c13-e99d-46a4-941c-49022d5f138d, whsc, woods-hole-science-center
Organization: Department of the Interior
Equal-area polygons used in design and installation of a well network for long-term monitoring of agricultural chemicals in the High Plains Aquifer, Colorado

These data are in support of report DS 456 (Arnold and others, 2009).  30 equal-area polygons generated using 
techniques described in Scott (1990). Polygons include areas overlying the High Plains Aquifer in Colorado having 
a depth to water less than 180 feet, a saturated thickness greater than 50 feet, and underlying irrigated agricultural
lands.  Described in Arnold and others (2009).
		
Input saturated thickness and depth to water data from V.L. McGuire, written communication, 2008.  Irrigated 
agricultural lands from Bauder and others (2004).

Tags: eastern-colorado, environment, geoscientificinformation, high-plains-aquifer, inlandwaters, united-states-of-america, usa, usgs-a174ea57-b29a-4063-89f2-42b95742d990
Organization: Department of the Interior
EAARL Coastal Topography-Fire Island National Seashore 2007

A bare earth/first surface elevation map (also known as a Digital Elevation Model, or DEM) of the Fire Island National Seashore in New York was produced from remotely sensed, geographically referenced elevation measurements cooperatively by the U.S. Geological Survey (USGS), the National Park Service (NPS), and the National Aeronautics and Space Administration (NASA). Elevation measurements were collected over the area using the NASA Experimental Advanced Airborne Research Lidar (EAARL), a pulsed-laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography. The system uses high frequency laser beams directed at the Earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The plane travels over the target area at approximately 50 meters per second at an elevation of approximately 300 meters. The EAARL, developed by NASA at Wallops Flight Facility in Virginia, measures ground elevation with a vertical resolution of 15 centimeters. A sampling rate of 3 kilohertz or higher results in an extremely dense spatial elevation dataset. Over 100 kilometers of coastline can be easily surveyed within a 3- to 4-hour mission. When subsequent elevation maps for an area are analyzed, they provide resource managers with a useful tool regarding land development.
For more information on Lidar science and the Experimental Advanced Airborne Research Lidar (EAARL) system and surveys, see http://ngom.usgs.gov/dsp/overview/index.php and http://ngom.usgs.gov/dsp/tech/eaarl/index.php .

Tags: airborne-lidar-processing-system, alps, altimetry, bathymetry-and-elevation, dem, digital-elevation-model, digital-elevation-models, distributions, eaarl, elevation, experimental-advanced-airborne-research-lidar, fire-island-national-seashore, laser-altimetry, lidar, long-island, new-york, remote-sensing, topographic-mapping, topography, usgs-a17278bb-f329-4903-b1cc-ddcf5dad2fd2
Organization: Department of the Interior
Grain size of bed sediment surface samples from south San Francisco Bay, California, summer 2020

Bed sediment samples were collected in south San Francisco Bay on two days in July 2020 to analyze for sediment grain size distributions. Sediment samples were collected from the R/V Snavely near pre-established U.S. Geological Survey instrument moorings using a Gomex or Ponar box corer that was subsampled by scraping the top 0.5 cm of the core. Data are provided in a comma-delimited values spreadsheet.

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, grab-sampling, grain-size-analysis, oceans, pacific-coastal-and-marine-science-center, pcmsc, san-francisco-bay, sea-floor-characteristics, sediment, sediment-transport, state-of-california, substrate, u-s-geological-survey, unconsolidated-deposits, usgs, usgs-a171bd80-34e0-40c2-a6b2-238ad72920ab
Organization: Department of the Interior
BSYC1M.TIF - Big Sycamore Reserve sidescan sonar backscatter image in the Nearshore Benthic Habitat Mapping Project S. California map series. (UTM 11N, NAD83)

The sidescan sonar image of the nearshore seafloor (0 to 100 m water depths) of the Big Sycamore reserve area was mosaicked from data collected in 1998.  A Klein 2000 sidescan system was used for geophysical surveying. A Triton Elics Isis brand side-scan data recording system was used on the cruise.  The 1998 survey was navigated with a Leica Differential Global Positioning System (DGPS) which provided a ship position with accuracy of 1-5 m in DGPS mode. At times during the cruise differential signal was interrupted. In non-differential mode, the receiver provided a position with 30-50 m accuracy. A KVH Industries Inc. azimuth digital gyro-compass provided ship headings with 0.5 degree accuracy. Navigation data were recorded using Yo-Nav version 1.19 (Gann, 1992). The sidescan fish was towed approximately 30 m above the seafloor. The distance of the fish behind the ship was not known during this survey and must be estimated when the data are processed in order to produce the sidescan image mosaics.  The resolution of the processed data mosaics is 0.2 m. The data are presented here at a resolution of 1 m. This is one of a collection of digital files of a geographic information system of spatially referenced data related to the USGS Coastal and Marine Geology Program Nearshore Benthic Habitat Mapping Project.  See &lt;http://walrus.wr.usgs.gov/nearshorehab&gt; for more information.

Tags: big-sycamore-reserve, ca, channel-islands, channel-islands-national-marine-sanctuary, cmgp, coastal-and-marine-geology-program, coastal-geology, field-activity-identifier-b-1-98-sc, geoscientificinformation, geospatial-datasets, geotiff, grey-scale-image, habitat-mapping, habitats, image-mosaics, imagerybasemapsearthcover, isis, klein, marine-geology, marine-geophysics, mips, nearshore-benthic-habitat, north-pacific-ocean, northern-pacific-ocean, pacific-coastal-and-marine-science-center, pcmsc, point-dume, point-mugu, r-v-ballena, remote-sensing-image, santa-barbara, sea-floor-acoustic-reflectivity, sea-floor-characteristics, seafloor-mapping, sidescan-sonar, southern-california, u-s-geological-survey, united-states, usa, usgs, usgs-a16e025d-c068-4f98-99e4-78b0fbbd12e2, ventura, west-coast
Organization: Department of the Interior