AndreaBozzo/ceres-open-data-index huggingface dataset:
1.5-m Bathymetric Grid of National Oceanic and Atmospheric Administration (NOAA) Survey H11077 in the Vicinity of Woods Hole, Massachusetts (H11077_1-5UTM, UTM Zone 19)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM), is producing detailed geologic maps of the coastal sea floor. Imagery, originally collected by NOAA for charting purposes, provides a fundamental framework for research and management activities along this part of the Massachusetts coastline, shows the composition and terrain of the seabed, and provides information on sediment transport and benthic habitat. Interpretive data layers were derived from multibeam echo-sounder and sidescan-sonar data collected in the vicinity of Woods Hole, a passage between the Elizabeth Islands and Cape Cod, Massachusetts.  In November 2007, bottom photographs, seismic-reflection profiles and surficial sediment data were acquired as part of a ground-truth reconnaissance survey.

Tags: arcraster-grid, atlantic-ocean, barnstable-county, bathymetry, cape-cod, cmgp, coastal-and-marine-geology-program, elevation, elizabeth-islands, geospatial-datasets, great-harbor, grid, h11077, little-harbor, marine-geophysics, massachusetts, multibeam-bathymetry, multibeam-sonar, national-oceanic-and-atmospheric-administration, noaa, noaa-survey-h11077, nonamesset-island, north-america, oceans, ofr-2008-1004, open-file-report-2008-1004, penzance-point, reson-8101, sea-floor-characteristics, u-s-east-coast, u-s-geological-survey, united-states, usgs, usgs-49c8837e-95f0-48c1-be3c-2c5b55bc69d9, vineyard-sound, whsc, woods-hole, woods-hole-science-center
Organization: Department of the Interior
Atlantic and Gulf coast sandy coastline topo-bathy profile and characteristic database

Seamless topographic-bathymetric (topo-bathy) profiles and their derived morphologic characteristics were developed for sandy coastlines along the Atlantic and Gulf coasts of the United States. As such, the rocky coasts of Maine, the coral reefs in southern Florida and the Keys, and the marsh coasts in the Mississippi Delta and the Florida Big Bend region and are not included in this dataset. Topographic light detection and ranging (lidar) data (dune crest, dune toe, and shorelines) from Doran and others (2017) were stitched together with bathymetric data (nearshore slope) from the Continuously Updated Digital Elevation Model (CUDEM, 2014) to generate the seamless topo-bathy profiles. The topo-bathy profiles are published as a database in the Hierarchical Data Format version 5 (HDF5) which contain cross-shore distance coordinates, Universe Transverse Mercator (UTM) coordinate system Easting and Northing coordinates, and various morphologic characteristics are provided here. A total of 3,897 topo-bathy profiles are included in the HDF5 database file. For further information regarding generation of these seamless topo-bathy profiles refer to Mickey and Passeri, 2022b.

Tags: alabama, atlantic-ocean, bathymetry, beach, coastal-processes, conneticut, delaware, dune, florida, geomorphology, georgia, geoscientificinformation, gulf-of-mexico, maryland, massachusetts, mississippi, morphology, nearshore, new-hampshire, new-jersey, new-york, north-carolina, oceans, profiles, rhode-island, slope, south-carolina, texas, topo-bathy, topography, usgs-49c7942e-bcdb-4b83-8467-79db3631aba0, virginia
Organization: Department of the Interior
Depth to ground water of Nevada

This is a raster-based, depth to ground-water data set for the State of Nevada. 
The source of this data set is a statewide water-table contour data set constructed 
from water-table contours collected from 1947 to 2004 and published in 38 reports 
from 1961 to 2004, depth to ground water contours from Static Ground Water 
Levels of Nevada published in 1974, and depth to ground water contours from 
Diamond Valley published in 2006.

Tags: depth-to-ground-water, depth-to-ground-water-surface, great-basin, ground-water, inlandwaters, nevada, usgs-49bea8c2-28a9-475a-8590-1bcc33c42d2f
Organization: Department of the Interior
AA_Q03.TIF - Aleutian Arc U.S. EEZ GLORIA sidescan-sonar data mosaic (3 of 31) (LCC, 50 m, WGS84)

During late July through September 1987 and June and July 1988 the U.S. Geological Survey (USGS) conducted four cruises to cover the U.S. Exclusive Economic Zone (EEZ) region of the Aleutian Arc. As in earlier EEZ reconnaissance surveys, the USGS utilized the GLORIA (Geological LOng-Range Inclined Asdic) sidescan-sonar system to complete the geologic mapping. The collected GLORIA data were processed and digitally mosaicked to produce continuous imagery of the seafloor. A total of 31 digital mosaics of a 3 degree by 3 degree (or smaller) area with a 50-meter pixel resolution were completed for the region.

Tags: acoustic-receivers, acoustic-reflectivity, alaska, aleutian-arc, aleutian-islands-ecoregion, aleutian-trench, amchitka-island, backscatter, bowers-basin, bowers-ridge, cmgp, coastal-and-marine-geology-program, continental-island-slope, distributions, eez, exclusive-economic-zone, exclusive-economic-zone-eez, geological-long-range-inclined-asdic, geoscientificinformation, geotiff-image, gloria, gloria-gt-geological-long-range-inclined-asdic, grey-scale-image, image-mosaics, imagerybasemapsearthcover, infobank-identifier-f-2-87-aa, infobank-identifier-f-3-87-aa, infobank-identifier-f-7-88-aa, infobank-identifier-f-8-88-aa, marine-basin-floor, marine-geology, marine-geophysics, marine-oceanic, ocean-gt-pacific-ocean, ocean-gt-pacific-ocean-gt-north-pacific-ocean, ocean-gt-pacific-ocean-gt-north-pacific-ocean-gt-aleutian-arc, oceans, oceans-gt-ocean-acoustics-gt-acoustic-reflectivity, physical-habitats-and-geomorphology, sea-floor-acoustic-reflectivity, sea-floor-characteristics, seabed, side-scan-sonar, sidescan-sonar, sidescan-sonar-mosaic, stalemate-ridge, tectonic-trench, u-s-geological-survey, usgs, usgs-49ab8ce7-5bc7-468d-865a-94c29c5fc378, wcmg, western-coastal-and-marine-geology, zodiac-fan
Organization: Department of the Interior
LANDFIRE Remap Forest Canopy Cover (CC) CONUS

LANDFIRE's (LF) Remap Forest Canopy Cover (CC) describes the percent cover of the tree canopy in a stand, CC is a vertical projection of the tree canopy cover onto an imaginary horizontal plane. In disturbed locations CC is calculated from linear regression equations derived from Forest Vegetation Simulator (FVS) plot data output, but at non-disturbed locations it is assigned the midpoint of Fuel Vegetation Cover (FVC) forested classes. In some instances, LF Remap assumes the potential burnable biomass in the tree canopy has been accounted for in the surface fuel model. For example, young or short conifer stands where the trees are represented by a shrub type fuel model will not have canopy characteristics.
LF Remap Annual Disturbance products are incorporated into CC to provide informed changes by disturbance type, severity, and time since disturbance (TSD). Annual Disturbance products provide a pre-disturbance scenario represented by LF Remap existing vegetation products. Reporting of the pre-disturbance scenario helps to calculate CC, by providing information about vegetation impacted by a disturbance. Then, vegetation adjustments are modeled in disturbance areas based on disturbance type and severity. CC is then used in the calculation of Canopy Bulk Density (CBD) and Canopy Base Height (CBH). CC supplies information to fire behavior models in order to; determine the probability of crown fire initiation, provide input in the spotting model, calculate wind reductions, and to calculate fuel moisture conditioning. 
CC also has capable fuels functionality. Capable fuels calculates TSD assignments for disturbed areas using an effective year. For example, year 2020 fuels may be calculated for the year 2020. This new process considers all the existing disturbances included in LF Remap and adjusts the TSD for these to the effective year (2020 in this example), making the products "2020 capable fuels." More information about capable fuels can be found at https://www.landfire.gov/lf_remap.php.

Tags: biota, canopy-cover, cc, conterminous-united-states, continental-u-s, conus, fires, geographic-information-systems, geospatial-datasets, hazard-preparedness, image-collections, imagerybasemapsearthcover, landfire-2016, landfire-remap, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-49a753a7-6c6b-4a85-9020-dd42791d59fe
Organization: Department of the Interior
Sprague River Oregon Centerline Sycan 1968

The Sprague River drains 4090 square kilometers in south-central Oregon before flowing into the Williamson 
River and upper Klamath Lake. In cooperation with the U.S. Fish and Wildlife Service, the USGS and University 
of Oregon conducted a study to evaluate channel and floodplain processes for the 131 km of the Sprague River 
and its major tributaries, including the lower 20 km of the South Fork Sprague River, the lower 16 km of the North 
Fork Sprague River, and the lower 62 km of the Sycan River. The study involved multiple analyses, including 
assessments of historical channel change, riparian and floodplain vegetation, and surficial geology. To support 
these analyses, digital floodplain and channel maps were prepared from historic notes, maps, and aerial photos 
to depict channel and floodplain conditions at different times between 1866 and 2005. The geospatial database 
of current and historic channel and floodplain conditions will also enable evaluation of long-term trends pertaining 
to aquatic and riparian habitat conditions.

Tags: channel-analysis, floodplain-analysis, geomorphology, inlandwaters, klamath-basin, sprague-river-oregon, usgs-4aff4a44-5fa0-46f7-b596-cc4347aa654e
Organization: Department of the Interior
BITH2014_BeaumontLNRUnits_EAARLB_BE_z15_n88g12A_mosaic_metadata: EAARL-B Topography-Big Thicket National Preserve: Beaumont and Lower Neches River Units, Texas, 2014

A bare-earth topography Digital Elevation Model (DEM) mosaic for the Beaumont and Lower Neches River Units of Big Thicket National Preserve in Texas, was produced from remotely sensed, geographically referenced elevation measurements collected on January 11, 15, 17, 18, 19, 21, 22, 23, 25, 26, 27, and 29, 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 (EAARL-B), 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, beaumont-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, jasper-county, land-surface-gt-topography-gt-terrain-elevation, laser-altimetry, lidar, lidar-gt-light-detection-and-ranging, lower-neches-river-unit, orange-county, remote-sensing, texas, topographic-mapping, topography, usgs-49a3373d-66b3-4ecc-a166-88b347e07445
Organization: Department of the Interior
HW3_Q61.TIF - Hawaii III - Northwestern Hawaii U.S. EEZ GLORIA sidescan-sonar data mosaic (9 of 22) (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 1989 through 1991, the USGS and IOS (Institute of Oceanographic Sciences, U.K.) scientists conducted several surveys within the EEZ off Hawaii. Six surveys during that time period focused on the northwestern Hawaii region. The results of these surveys were 22 digital mosaics of approximately of approximately a 2 degree by 2 degree area with a 50-meter pixel resolution.

Tags: acoustic-receivers, acoustic-reflectivity, backscatter, central-pacific-ocean, cmgp, coastal-and-marine-geology-program, distributions, eez, exclusive-economic-zone, exclusive-economic-zone-eez, field-activity-number-f-1-90-hw, field-activity-number-f-10-91-hw, field-activity-number-f-13-89-hw, field-activity-number-f-2-90-hw, field-activity-number-f-5-91-cp, field-activity-number-f-6-91-cp, geological-long-range-inclined-asdic, geoscientificinformation, geotiff-image, gloria, gloria-gt-geological-long-range-inclined-asdic, grey-scale-image, hawaii, hawaii-ecoregion, hawaiian-emperor-chain, hawaiian-islands, hawaiian-ridge, image-mosaics, imagerybasemapsearthcover, kure-island, lisianski-island, marine-basin-floor, marine-geology, marine-geophysics, marine-oceanic, midway-islands, nero-seamount, neva-shoal, ocean-gt-pacific-ocean, ocean-gt-pacific-ocean-gt-central-pacific-ocean, oceans, oceans-gt-ocean-acoustics-gt-acoustic-reflectivity, oceans-gt-pacific-ocean-gt-central-pacific-ocean-gt-hawaiian-islands, pearl-and-hermes-shelf, physical-habitats-and-geomorphology, pioneer-bank, salmon-bank, sea-floor-acoustic-reflectivity, sea-floor-characteristics, seabed, side-scan-sonar, sidescan-sonar, sidescan-sonar-mosaic, u-s-geological-survey, usgs, usgs-49941468-b471-4c38-a9d0-78c1058cac04, wcmg, western-coastal-and-marine-geology
Organization: Department of the Interior
10 meter bathymetric grid of Barnegat Bay, New Jersey produced from trackline bathymetry collected by the U.S. Geological Survey in 2011, 2012, and 2013 (Esri binary grid, UTM 18N, WGS 84)

Water quality in the Barnegat Bay-Little Egg Harbor estuary along the New Jersey coast is the focus of a multidisciplinary research project begun in 2011 by the U.S. Geological Survey (USGS)in partnership with the New Jersey Department of Environmental Protection. This narrow estuary is the drainage for the Barnegat Watershed and flushed by just three inlets connecting it to the Atlantic Ocean, is experiencing degraded water quality, algal blooms, loss of seagrass, and increases in oxygen -depletion events, seaweed, stinging nettles, and brown tide. The scale of the estuary and the scope of the problems within it necessitate a multidisciplinary approach that includes characterizing its physical characteristics (for example, depth, magnitude and direction of tidal currents, distribution of seafloor and subseafloor sediment) and modeling how the physical characteristics interact to affect the estuary's water quality. Scientists from USGS Coastal and Marine Geology Program offices in Woods Hole, Massachusetts, and St. Petersburg, Florida, began mapping the seafloor of the Barnegat Bay-Little Egg Harbor estuary in November 2011 and completed in September 2013. With funding from the New Jersey Department of Environmental Protection and logistical support from the USGS New Jersey Water Science Center, they collected data with a suite of geophysical tools, including swath bathymetric sonar for measuring seafloor depth, a sidescan sonar for collecting acoustic-backscatter data (which provides information about seafloor texture and sediment type), subbottom profiler for imaging sediment layers beneath the floor of the estuary, and sediment samples with bottom photographs for ground validation of the acoustic data. 2011-041-FA: http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2011-041-FA 2012-003-FA: http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2012-003-FA 2013-014-FA: http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2013-014-FA 2013-030-FA: http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2013-030-FA

Tags: 2011, 2012, 2013, arcgis-raster, barnegat-bay, barnegat-inlet, bathymetry, coastal-and-marine-geology-program, field-activity-serial-number-2011-041-fa, field-activity-serial-number-2012-003-fa, field-activity-serial-number-2013-014-fa, field-activity-serial-number-2013-030-fa, forked-river, geospatial-datasets, interferometric-sonar, little-egg-harbor, little-egg-inlet, mantoloking, marine-geology, marine-geophysics, metedeconk-river, oceans, rv-rafael, sea-floor, sea-floor-characteristics, seafloor, st-petersburg-coastal-and-marine-science-center, state-of-new-jersey, swathplus-h, toms-river, tuckerton, u-s-geological-survey, united-states-of-america, usgs, usgs-49799b7b-bd7e-4462-951c-fda497fe0cf0, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
molo_ero - Erosion Hazard Intensity Level in the coastal zone of Molokai, Hawaii

Erosion Hazard Intensity Level in the coastal zone of Molokai,
Hawaii

Tags: coast, coastal, coastal-erosion, coastal-processes, continental-island-shore-complex, effects-of-coastal-change, erosion, geoscientificinformation, hawaii, hawaii-ecoregion, hazard, hazards, island, kauai, lanai, level, maui, molokai, oahu, oceans, oceans-and-coastal, oceans-and-estuaries, pacific, risk-assessment, shoreline-erosion, usgs-4976d07e-7563-49ed-a740-0d8926a483e2
Organization: Department of the Interior
Airborne geophysical survey: Dome Peak, Washington

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, dome-peak, f53007-chelan, f53057-skagit, f53061-snohomish, field-monitoring-stations, geophysical-surveys, geophysics, geospatial-datasets, magnetic, magnetic-field-earth, magnetic-surveys, residual-magnetic-field, total-field, united-states, usgs-49677c3f-5d30-458a-aabe-84651e6a3582, wa, washington
Organization: Department of the Interior
Sea Turtle Nesting Decision Points and Cross-Shore Beach Profile Data Collected on July 16, 2019, from Melbourne Beach, Florida

On July 16, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20190716.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-4957443f-bf92-4239-a77f-2d689c8303d2
Organization: Department of the Interior
Uncertainty table for lidar-derived shorelines used when calculating rates in the Digital Shoreline Analysis System software for Washington (WA_shorelines_uncertainty.dbf)

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: cmgp, coastal-and-marine-geology-program, coastal-processes, coastal-services-center, columbia-river, continental-island-shore-complex, csc, database-iv-format, digital-shoreline-analysis-system, dsas, effects-of-coastal-change, environment, erosion, geoscientificinformation, high-water-line, high-water-line-offsets, high-water-line-uncertainty, hwl, lidar-uncertainty, mean-high-water, mhw, national-assessment-of-shoreline-change-project, national-oceanic-and-atmospheric-administration, noaa, north-america, oceans, oregon-washington-vancouver-coast-and-shelf-ecoregion, pacific-coast, pacific-northwest, proxy-datum-bias, shoreline-accretion, shoreline-change, shoreline-erosion, u-s-geological-survey, united-states, usgs, usgs-4932c47d-e57a-4585-b941-b589d05a6c10, washington, willapa-bay, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Upper Klamath Basin Landsat Image for October 7, 2004: Path 45 Rows 30 and 31

This image is a mosaic of Landsat-5 images of the upper Klamath Basin. 
The original images were obtained from the U.S. Geological Survey Earth 
Resources Observation and Science Center (EROS). EROS is responsible 
for archive management and distribution of Landsat data products. The 
Landsat-5 satellite is part of an ongoing mission to provide quality remote 
sensing data in support of research and applications activities. The launch 
of Landsat-5 on March 1, 1984 marks the addition of the fifth satellite to the 
Landsat series. The Landsat-5 satellite carries the Thematic Mapper (TM) 
sensor. More information on the Landsat program can be found online at 
http://landsat.usgs.gov/.

Tags: environment, geoscientificinformation, inlandwaters, klamath-basin-restoration-agreement, landsat, oregon, sprague-river-basin, upper-klamath-basin, usgs-492f51de-8e4f-4cf3-b68a-83e6de61630c, williamson-river-basin, wood-river-basin
Organization: Department of the Interior