AndreaBozzo/ceres-open-data-index huggingface dataset:
Airborne geophysical survey: South Powder River Basin, Wyoming

Aeromagnetic data were collected along flight lines by instruments in an
aircraft that recorded magnetic-field values and locations.  This dataset
presents latitude, longitude, altitude, and magnetic-field values.

Tags: aeromagnetic-data, aeromagnetic-surveying, airborne-surveys, f56009-converse, field-monitoring-stations, geophysical-surveys, geophysics, geospatial-datasets, magnetic, magnetic-field-earth, magnetic-surveys, residual-magnetic-field, south-power-river-basin, total-field, united-states, usgs-f648fb59-117c-4fea-89e5-949f2fad75da, wy, wyoming
Organization: Department of the Interior
Image showing bathymetry data for the coastal region of Rincon, Puerto Rico (rincon_lidar.tif)

These data were collected by the SHOALS (Scanning Hydrographic Operational Airborne Lidar Survey) system which consists of an airborne laser transmitter/receiver capable of measuring 400 soundings per second.  The system operates from a deHavilland DHC-6 Twin Otter flying at altitudes between 200 and 400 meters with a ground speed of about 100 knots.  The SHOALS system also includes a ground-based data processing system for calculating acurate horizontal position and water depth. Lidar is an acronym for LIght Detection And Ranging.  The system operates by emitting a pulse of light that travels from an airborne platform to the water surface where a small portion of the laser energy is backscattered to the airborne receiver.  The remaining energy at the water's surface propogates through the water column and reflects off the sea bottom and back to the airborne detector.  The time difference between the surface return and the bottom return corresponds to water depth.  The maximum depth the system is able to sense is related to the complex interaction of radiance of bottom material, incident sun angle and intensity, and the type and quantity of organics or sediments in the water column.  As a rule-of-thumb, the SHOALS system should be capable of sensing bottom to depths equal to two or three times the Secchi depth.

Tags: bathymetry, cmgp, coastal-and-marine-geology-program, elevation, geospatial-datasets, geotiff-image, image-mosaics, imagerybasemapsearthcover, joint-airborne-lidar-bathymetry-technical-center-of-expertise-jalbtcx, lidar, light-detection-and-ranging-lidar, oceans, puerto-rico, punta-cadena, punta-higuero, rincon, scanning-hydrographic-operational-airborne-lidar-survey-shoals, u-s-army-corps-of-engineers, u-s-geological-survey, usgs, usgs-f67227b7-c77a-4853-8dea-7900f61bd7aa, whsc, woods-hole-science-center
Organization: Department of the Interior
Evapotranspiration Input Data for the Central Valley Hydrologic Model (CVHM)

This digital dataset contains monthly reference evapotranspiration (ETo) data for the Central Valley Hydrologic 
Model (CVHM).  The Central Valley encompasses an approximate 50,000 square-kilometer region of California. 
The complex hydrologic system of the Central Valley is simulated using the USGS numerical modeling code 
MODFLOW-FMP (Schmid and others, 2006b).  This simulation is referred to here as the CVHM (Faunt, 2009). 
Utilizing MODFLOW-FMP, the CVHM simulates groundwater and surface-water flow, irrigated agriculture, land 
subsidence, and other key processes in the Central Valley on a monthly basis from 1961-2003.  The total active 
modeled area is 20,334 square-miles on a finite-difference grid comprising 441 rows and 98 columns. Slightly 
less that 50 percent of the cells are active. The CVHM grid has a uniform horizontal discretization of 1x1 square 
mile and is oriented parallel to the valley axis, 34 degrees west of north (Faunt, 2009). The main climatic contributors 
to the CVHM are ETo and precipitation.  Data from Parameter-Elevation Regressions on Independent Slopes Model 
(PRISM) (Climate Source, 2006) provide the temperature and precipitation on a monthly basis for a 2-kilometer grid. 
Mapping land-use type and distribution is integral to calculating the crop irrigation demand and, ultimately, the water 
use in the Central Valley. For a given land use, the demand can be calculated from two variables: crop coefficient 
(Kc) and reference evapotranspiration (ETo).  For the CVHM, ETo is calculated from the daily minimum and maximum 
air temperatures derived from PRISM data and the extraterrestrial solar radiation (Faunt, 2009, p. 151). The CVHM is 
the most recent regional-scale model of the Central Valley developed by the U.S. Geological Survey (USGS).  The 
CVHM was developed as part of the USGS Groundwater Resources Program (see "Foreword", Chapter A, page iii, 
for details).

Tags: alameda-county, amador-county, boundary, butte-county, calaveras-county, california, central-valley, central-valley-aquifer, central-valley-california, central-valley-hydrologic-model, colusa-county, contra-costa-county, cv-rasa, el-dorado-county, evapotranspiration, finite-difference-model-grid, fresno-county, glenn-county, grid, groundwater, groundwater-availability-of-the-central-valley-aquifer, humboldt-county, hydrogeology, hydrology, inlandwaters, kern-county, kings-county, lake-county, madera-county, mariposa-county, mendocino-county, merced-county, monterey-county, napa-county, nevada-county, placer-county, sacramento-county, sacramento-valley, san-benito-county, san-joaquin-county, san-joaquin-valley, san-luis-obispo-county, santa-barbara-county, santa-clara-county, shasta-county, solano-county, sonoma-county, stanislaus-county, sutter-county, tehama-county, trinity-county, tulare-county, tuolumne-county, usgs-f67e9683-884b-4a89-a444-19351293ed08, ventura-county, yolo-county, yuba-county
Organization: Department of the Interior
ds765_metadata: Coastal Topography--Northeast Atlantic Coast, Post-Hurricane Sandy, 2012

Dune features (dune crest and toe elevations) and mean-high-water shoreline data for a portion of the New York, Delaware, Maryland, Virginia, and North Carolina coastlines, post-Hurricane Sandy (Sandy was an October 2012 hurricane that made landfall as an extratropical cyclone on the 29th), were produced by the U.S. Geological Survey (USGS) from remotely sensed, geographically referenced elevation measurements collected by Photo Science and Woolpert using using airborne lidar sensors. Binary point-cloud data, as well as digital elevation models (DEM), were also produced by Photo Science and Woolpert and are included in this Data Series.

Tags: 2012, altimetry, bathymetry-and-elevation, cessna-206, cessna-310, delaware, delmarva-peninsula, dem, dhigh, digital-elevation-model, digital-elevation-models, distributions, dlow, doi-usgs-cmg-gt-coastal-and-marine-geology-u-s-geological-survey-u-s-department-of-interior, dune-crest, dune-toe, elevation, extratropical-cyclone, fire-island, land-surface-gt-topography-gt-terrain-elevation, laser-altimetry, lidar, lidar-gt-light-detection-and-ranging, long-island, maryland, new-york, north-carolina, ocean-gt-coastal-processes-gt-barrier-islands, ocean-gt-coastal-processes-gt-beaches, ocean-gt-coastal-processes-gt-shoreline-displacement, post-hurricane-sandy, remote-sensing, shoreline, topographic-mapping, topography, united-states, usgs-f692f2b9-1e99-4556-8a88-0bb8cd8d1547, virginia
Organization: Department of the Interior
5-meter acoustic backscatter image collected by Alpine Ocean Seismic Survey, Inc., offshore of Fire Island, NY in 2014, as part of a collaborative U.S. Army Corp of Engineers and U.S. Geological Survey mapping effort (UTM zone 18N, WGS 84, Esri binary grid file format)

Hurricane Sandy, the largest storm of historical record in the Atlantic basin, severely impacted southern Long Island, New York in October 2012. In 2014, the U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers (USACE), conducted a high-resolution multibeam echosounder survey with Alpine Ocean Seismic Survey, Inc., offshore of Fire Island and western Long Island, New York to document the post-storm conditions of the inner continental shelf.  The objectives of the survey were to determine the impact of Hurricane Sandy on the inner continental shelf morphology and modern sediment distribution, and provide additional geospatial data for sediment transport studies and coastal change model development. 
For more information about the WHCMSC Field Activity, see https://cmgds.marine.usgs.gov/fan_info.php?fan=2014-072-FA.

Tags: acoustic-backscatter, alpine-seismic-survey-inc, cmgp, coastal-and-marine-geology-program, elevation, field-activity-number-2015-072-fa, fire-island, fire-island-national-seashore, geoscientificinformation, geospatial-datasets, image-mosaics, imagerybasemapsearthcover, marine-geology, marine-geophysics, multibeam-echosounder, multibeam-sonar, new-york, north-america, oceans, r-v-shearwater, r2sonic-2024, sea-floor-acoustic-reflectivity, swath-bathymetry, u-s-geological-survey, united-states, usgs, usgs-f6a3730f-f887-4d72-a68a-67f68310b74f, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
SIR2015-5175, Pahute Mesa-Oasis Valley and surrounding groundwater basins, Nevada and California, version 1.1

This vector data set contains polygons representing the Pahute Mesa-Oasis Valley 
groundwater basin and surrounding groundwater basins in Nevada and California.

Tags: alkali-flat, ash-meadows, bullfrog-hills, california, death-valley, elevation, furnace-creek-ranch, geoscientificinformation, groundwater, groundwater-basin, inlandwaters, nevada, oasis-valley, pahrump, pahute-mesa, penoyer-valley, railroad-valley, sarcobatus-flat, usgs-f6a7a697-0685-474e-9995-490795b40c09
Organization: Department of the Interior
BITH2014_BigSandyCreekUnit_EAARLB_BE_z15_n88g12A_mosaic_metadata: EAARL-B Topography-Big Thicket National Preserve: Big Sandy Creek Unit, Texas, 2014

A bare-earth topography digital elevation model (DEM) mosaic for the Big Sandy Creek Unit of Big Thicket National Preserve in Texas, was produced from remotely sensed, geographically referenced elevation measurements collected on January 19, 21, 22, and 30, 2014 by the U.S. Geological Survey, in cooperation with the National Park Service - Gulf Coast Network. Elevation measurements were collected over the area using the second-generation Experimental Advanced Airborne Research Lidar, 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 55 meters per second at an elevation of approximately 300 meters, resulting in a laser swath of approximately 240 meters with an average point spacing of 0.5-1.6 meters. A peak sampling rate of 15-30 kilohertz results in an extremely dense spatial elevation dataset. More than 100 kilometers of coastline can be surveyed easily within a 3- to 4-hour mission. When resultant elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding land development.

Tags: airborne-lidar-processing-system, alps, altimetry, bathymetry-and-elevation, big-sandy-creek-unit, big-thicket-national-preserve, cessna-310, dem, digital-elevation-model, digital-elevation-models, distributions, doi-usgs-cmg-gt-coastal-and-marine-geology-u-s-geological-survey-u-s-department-of-interior, eaarl-b, elevation, experimental-advanced-airborne-research-lidar, land-surface-gt-topography-gt-terrain-elevation, laser-altimetry, lidar, lidar-gt-light-detection-and-ranging, polk-county, remote-sensing, texas, topographic-mapping, topography, usgs-f6c8d2c7-8142-4a3d-bf36-978279383e18
Organization: Department of the Interior
Unprocessed aerial imagery from 18 December 2017 coastal survey of Central California.

This is a set of 2948 oblique aerial photogrammetric images and their derivatives, collected from San Francisco to Monterey with a fixed-lens digital camera from a crewed light aircraft, for processing using structure-from-motion photogrammetry and machine learning to study coastal geomorphic processes at high temporal and spatial resolution. JPG files in each folder follow the following naming convention: {CAM###}_{YYYYMMDDHHMMSS_ss}.jpg, where {CAM###} is the last 3 digits of the camera serial number, preceded by the letters "cam", and where {YYYYMMDDHHMMSS_ss} is the image acquisition time in {YearMonthDayHourMinuteSecond_hundredths} expressed in 24-hour time, as recorded by the camera's internal clock and written to the SubSecondDateTime field in the image EXIF data (for example CAM001_202009182311_50 would be the timestamp for an image with a SubSecondDateTime EXIF time/date stamp of September 18th, 2020 at 11:11.50 pm.

Tags: aerial-and-satellite-photography, aerial-photography, agents-of-coastal-change, anthropogenic-agents-of-coastal-change, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-development, coastal-ecosystems, coastal-erosion, coastal-landslides, coastal-processes, datasets, distributions, earth-sciences, ecology, environment, geography, geologic-processes, geology, geoscientificinformation, geospatial-datasets, habitat, image-analysis, image-collections, imagerybasemapsearthcover, infrastructure, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, remote-sensing, slope-processes, structures, u-s-geological-survey, united-states, united-states-and-territories, usgs, usgs-f6c9664d-98a7-46cc-a309-bef7485292e5, visible-light-imaging
Organization: Department of the Interior
Unprocessed aerial imagery from 29 January 2018 coastal survey of Central California.

This is a set of 5365 oblique aerial photogrammetric images and their derivatives, collected from San Francisco to Big Sur with a fixed-lens digital camera from a crewed light aircraft, for processing using structure-from-motion photogrammetry and machine learning to study coastal geomorphic processes at high temporal and spatial resolution. JPG files in each folder follow the following naming convention: {CAM###}_{YYYYMMDDHHMMSS_ss}.jpg, where {CAM###} is the last 3 digits of the camera serial number, preceded by the letters "cam", and where {YYYYMMDDHHMMSS_ss} is the image acquisition time in {YearMonthDayHourMinuteSecond_hundredths} expressed in 24-hour time, as recorded by the camera's internal clock and written to the SubSecondDateTime field in the image EXIF data (for example CAM001_202009182311_50 would be the timestamp for an image with a SubSecondDateTime EXIF time/date stamp of September 18th, 2020 at 11:11.50 pm.

Tags: aerial-and-satellite-photography, aerial-photography, agents-of-coastal-change, anthropogenic-agents-of-coastal-change, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-development, coastal-ecosystems, coastal-erosion, coastal-landslides, coastal-processes, datasets, distributions, earth-sciences, ecology, environment, geography, geologic-processes, geology, geoscientificinformation, geospatial-datasets, habitat, image-analysis, image-collections, imagerybasemapsearthcover, infrastructure, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, remote-sensing, slope-processes, structures, u-s-geological-survey, united-states, united-states-and-territories, usgs, usgs-f6cdc4b2-e182-45b6-887b-ceb4a94b1388, visible-light-imaging
Organization: Department of the Interior
Effects of Late Holocene Climate and Coastal Change in Mobile Bay, Alabama: ADCIRC Model Input and Results (Water_Level_RS)

Using version 52.30 of the ADvanced CIRCulation (ADCIRC) numerical model (Luettich and others, 1992), astronomic tides were simulated at Mobile Bay, Alabama (AL), under scenarios of Holocene geomorphic configurations representing the period of 3500 to 2300 years before present including a breach in the Morgan Peninsula and a land bridge at Pass aux Herons, as described in Smith and others (2020). The two-dimensional ADCIRC model can be applied to coastal and estuarine systems to solve for time-dependent hydrodynamic circulation and transport scenarios. For this study, the ADCIRC unstructured finite element mesh domain spans to the 60th meridian west in the Atlantic Ocean and has higher spatial resolution elements (20 - 100 meters (m)) along the northern Gulf of Mexico coast from Louisiana through the Florida Panhandle. The ADCIRC model setup requires the input of topographic and bathymetric elevations at each mesh node. Model inputs in the form of topography and bathymetry and model outputs in the form of water levels and velocities at each mesh node are provided in this data release. For further information regarding model input generation and visualization of model output, refer to Smith and others (2020).

Tags: alabama, bathymetry, coastal-processes, digital-elevation-models, elevation, estuarine-processes, geomorphology, geoscientificinformation, gulf-of-mexico, marine-geology, mobile-bay, morphologic-change, north-america, oceans, spcmsc, st-petersburg-coastal-and-marine-science-center, tides-oceanic, topography, u-s-geological-survey, united-states, usgs, usgs-f6d2effd-1643-403d-9c9c-46af8728ec8d
Organization: Department of the Interior
Airborne geophysical survey: Continental Divide, New Mexico

Aeromagnetic data were collected along flight lines by instruments in an
aircraft that recorded magnetic-field values and locations.  This dataset
presents latitude, longitude, altitude, and magnetic-field values.

Tags: aeromagnetic-data, aeromagnetic-surveying, airborne-surveys, continental-divide, f35003-catron, field-monitoring-stations, geophysical-surveys, geophysics, geospatial-datasets, horse-springs, magnetic, magnetic-field-earth, magnetic-surveys, new-mexico, nm, residual-magnetic-field, total-field, united-states, usgs-f6d73a01-0a50-4fe8-9fd4-f76a172bca60, western-new-mexico
Organization: Department of the Interior
Grain-size data of percussion driven gravity cores collected in Alaskan lakes and fjords following the 2018 Anchorage earthquake

This dataset includes grain-size data from sediment cores collected from lacustrine and fjord basins in southcentral Alaska following the 2018 Anchorage earthquake. The cores were collected with a percussion driven gravity corer for use in regional hazard assessments relating to Alaska’s seismic hazard.

Tags: chelatna-lake, cmhrp, coastal-and-marine-hazards-and-resources-program, core-analysis, geoscientificinformation, inlandwaters, kenai-lake, oceans, pacific-coastal-and-marine-science-center, pacific-ocean, passage-canal, pcmsc, prince-william-sound, sediment, skilak-lake, state-of-alaska, substrate, tustumena-lake, u-s-geological-survey, usgs, usgs-f6ef3eb5-c8ff-4378-9df6-1a200897b74e
Organization: Department of the Interior
Discharge measurements from transects of a tidal creek in Corte Madera Marsh, Northern San Francisco Bay, California, during 2022 and 2023.

Corte Madera Marsh, located in northern San Francisco Bay, California, is experiencing shoreline erosion. Determining whether the eroded sediment is exported to the bay or imported via tidal channels and deposited on the marsh platform is critical to understanding the long-term response of the marsh to wave attack and sea-level rise. Quantifying water-column sediment flux helps to characterize the role of tidal channels in this process, and water discharge is a key component of sediment flux. Tidal creek discharge was measured repeatedly over diurnal tidal cycles in a tidal channel located in the central, Muzzi marsh region of Corte Madera marsh, California during the summer of 2022 and during the winter of 2023. These transect data were collected using a downward-looking Teledyne RDI RiverPro 1200-kilohertz acoustic Doppler current profiler (ADCP) from a moving boat.

Tags: acoustic-doppler-current-profiling, cmhrp, coastal-and-marine-hazards-and-resources-program, corte-madera-bay, corte-madera-marsh, geoscientificinformation, inlandwaters, marin-county, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-oceanography, san-francisco-bay, san-pablo-bay-national-wildlife-refuge, san-pablo-baye, sediment-transport, state-of-california, stream-discharge, streamflow, tidal-currents, tidal-height, u-s-geological-survey, usgs, usgs-f6f760a0-4cd8-452b-be16-1481b4efb4d4, water-column-features, water-depth, water-pressure
Organization: Department of the Interior
FIIS2002_EAARLA_BE_z18_n88g99_mosaic_metadata: Lidar-Derived Bare-Earth Digital Elevation Model (DEM) Mosaic for EAARL Coastal Topography—Fire Island, New York, 2002

A digital elevation model (DEM) mosaic for Fire Island, New York, was produced from remotely sensed, geographically referenced elevation measurements collected October 25 and November 8, 2002 by the U.S. Geological Survey, in cooperation with the National Park Service (NPS) and the National Aeronautics and Space Administration (NASA). Elevation measurements were collected over the area using the first-generation Experimental Advanced Airborne Research Lidar (EAARL-A), 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 55 meters per second at an elevation of approximately 300 meters, resulting in a laser swath of approximately 240 meters. More than 100 kilometers of coastline can be surveyed easily within a 3- to 4-hour mission. When resultant elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding land development.

Tags: airborne-lidar-processing-system, alps, altimetry, bathymetry-and-elevation, cessna-310, digital-elevation-models, distributions, doi-usgs-cmg-gt-coastal-and-marine-geology-u-s-geological-survey-u-s-department-of-interior, eaarl, elevation, experimental-advanced-airborne-research-lidar, fire-island, laser-altimetry, lidar, lidar-gt-light-detection-and-ranging, long-island, new-york, ocean-gt-bathymetry-seafloor-topography-gt-seafloor-topography, ocean-gt-coastal-processes-gt-coastal-elevation, remote-sensing, topographic-mapping, topography, usgs-f6f838bf-8c2f-4c05-87fb-8f1f6266fa72
Organization: Department of the Interior
2010 Digitized Shoreline for Breton Island, Louisiana (Geographic, NAD83)

Shorelines were derived from the National Agriculture Imagery Program (NAIP) digital ortho imagery collected on May 10, 2010. This dataset contains digitized shorelines created from the NAIP imagery for Breton Island, Louisiana. Shorelines were digitized in ArcMap 10.2.2 so they could be used for area and shoreline change analysis using the Digital Shoreline Analysis System (DSAS) version 4.0.

Tags: barrier-island-migration, boundaries, breton-island, coastal, coastal-processes, digitization, elevation, environment, erosion, geoscientificinformation, gulf-of-mexico, la, louisiana, mapping, mean-high-water, naip, oceans, shore, shoreline, shoreline-accretion, shoreline-data, shoreline-erosion, shoreline-map, usa, usgs-f6ff9093-1b26-4dd0-b5ed-52c9a42f8418
Organization: Department of the Interior