AndreaBozzo/ceres-open-data-index huggingface dataset:
Surficial Sediment Data Collected During U.S. Geological Survey (USGS) Cruise R/V RAFAEL 2010-010 in Long Island Sound, North of Orient Point, New York (2010-010_OPSEDDATA.SHP)

The U.S. Geological Survey (USGS), in cooperation with the Connecticut Department of Environmental Protection and National Oceanic and Atmospheric Administration (NOAA), 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 Long Island Sound, shows the composition and terrain of the seabed, and provides information on sediment transport and benthic habitat. Interpretive data layers were derived from the multibeam echo-sounder data and sidescan-sonar data collected north of Orient Point, New York. During April 2010, bottom photographs and surficial sediment data were acquired as part of a USGS ground-truth reconnaissance survey. For more information on the ground-truth survey see http://quashnet.er.usgs.gov/data/2010/10010/.

Tags: atlantic-ocean, clay, cmgp, coastal-and-marine-geology-program, connecticut-department-of-environmental-protection, ct-dep, environment, esri-point-shapefile, field-activity-number-2010-010-fa, geoscientificinformation, geospatial-datasets, grain-size-analysis, gravel, ground-truth, info-bank-id-r-10-10-li, location, long-island, long-island-sound, marine-geology, navigational-data, new-york, north-america, northeast-united-states, oceans, ofr-2010-1100, open-file-report-2010-1100, orient-point, r-v-rafael, sand, sea-floor, sea-floor-characteristics, seaboss, sediment-data, sediment-samples, sediments, silt, stations, surficial-sediment-classification, u-s-geological-survey, united-states, usgs, usgs-a65f70b7-53b5-45c2-81d9-c4c38feaa6a4, van-veen-grab-sampler, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Backscatter B [Swath]--Drakes Bay and Vicinity, California

This part of DS 781 presents data for the acoustic-backscatter map of Drakes Bay and Vicinity, California. Backscatter data are provided as separate grids depending on mapping system or processing method. The raster data file is included in "BackscatterB_Swath_DrakesBay.zip", which is accessible from https://pubs.usgs.gov/ds/781/DrakesBay/data_catalog_DrakesBay.html. These data accompany the pamphlet and map sheets of Watt, J.T., Dartnell, P., Golden, N.E., Greene, H.G., Erdey, M.D., Cochrane, G.R., Johnson, S.Y., Hartwell, S.R., Kvitek, R.G., Manson, M.W., Endris, C.A., Dieter, B.E., Sliter, R.W., Krigsman, L.M., Lowe, E.N., and Chin, J.L. (J.T. Watt and S.A. Cochran, eds.), 2015, California State Waters Map Series—Drakes Bay and Vicinity, California: U.S. Geological Survey Open-File Report 2015–1041, pamphlet 36 p., 10 sheets, scale 1:24,000, https://doi.org/10.3133/ofr20151041.
The acoustic-backscatter map of Drakes Bay and Vicinity map area, California, was generated from backscatter collected by California State University, Monterey Bay (CSUMB), and by Fugro Pelagos. Mapping was completed between 2007 and 2010, using a combination of 200-kHz and 400-kHz Reson 7125, and 244-kHz Reson 8101 multibeam echosounders, as well as 468-kHz SEA SWATHPlus interferometric system. These mapping missions combined to collect backscatter data from about the 10-m isobath to beyond the 3-nautical-mile limit of California's State Waters. Within the acoustic-backscatter imagery, brighter tones indicate higher backscatter intensity, and darker tones indicate lower backscatter intensity. The intensity represents a complex interaction between the acoustic pulse and the seafloor, as well as characteristics within the shallow subsurface, providing a general indication of seafloor texture and composition. Backscatter intensity depends on the acoustic source level; the frequency used to image the seafloor; the grazing angle; the composition and character of the seafloor, including grain size, water content, bulk density, and seafloor roughness; and some biological cover.  Harder and rougher bottom types such as rocky outcrops or coarse sediment typically return stronger intensities (high backscatter, lighter tones), whereas softer bottom types such as fine sediment return weaker intensities (low backscatter, darker tones). These data are not intended for navigational purposes.

Tags: acoustic-reflectivity, continental-island-shelf, distributions, drakes-bay, environment, geoscientificinformation, geospatial-datasets, image-mosaics, imagerybasemapsearthcover, interferometric-sonar, maps-and-atlases, marin-county, marine-geophysics, marine-nearshore-subtidal, marine-offshore-subtidal, multibeam-echo-sounder, northern-california-ecoregion, oceans, pacific-ocean, physical-habitats-and-geomorphology, rock-substrate, sea-floor-acoustic-reflectivity, sea-floor-characteristics, seabed, sonar-methods, state-of-california, transform-continental-margin, unconsolidated-mineral-substrate, usgs-a65a7611-5cba-47df-afdb-851eacca363f
Organization: Department of the Interior
Deserts of the southwestern United States, for the Death Valley regional ground-water flow system study, Nevada and California

This digital data set defines the boundaries of the deserts of the southwestern United States.  
Those deserts include the Great Basin, Mojave, Colorado, and Sonoran Deserts as defined 
by Benson and Darrow (1981).  The study by Benson and Darrow (1981) was a historical 
reference used to support development of the transient ground-water model of Death Valley 
regional ground-water flow system (DVRFS) completed in 2004 by the USGS (see "Larger 
Work Citation", Chapter A, page 8, for details).

Tags: amargosa-desert, arizona-sonoran-desert, ash-meadows, california, california-valley, chicago-valley, china-ranch, clark-county, clayton-valley, coal-valley, colorado-sonoran-desert, death-valley, death-valley-regional-ground-water-flow-system, eastern-california, esmeralda-county, eureka-valley, evapotranspiration, flow-model, franklin-lake, franklin-well, garden-valley, great-basin-desert, ground-water, ground-water-discharge, ground-water-pumping, ground-water-recharge, hydraulic-conductivity, hydraulic-head, hydrogeologic-framework-model, hydrogeology, hydrology, inyo-county, kern-county, las-vegas-valley, lateral-ground-water-model-boundary, lincoln-county, mesquite-valley, mineral-county, mojave-desert, mono-county, net-infiltration, nevada, nevada-test-site, nye-county, oasis-valley, owlshead-mountains, pahranagat-range, pahrump-valley, panamint-range, penoyer-valley, railroad-valley, resting-spring, saline-valley, san-bernardino-county, sarcobatus-flat, sheep-range, shoshone, silurian-valley, southern-nevada, spring-flow, spring-mountains, steady-state-ground-water-model, stewart-valley, stone-cabin-valley, tecopa, transient-ground-water-model, usgs-a6559ab4-ae92-4764-b929-720edf51a6eb, water-well, yucca-mountain
Organization: Department of the Interior
Depth to top of the Inyan Kara Group

This data set is a polygon coverage created in ARC/INFO that
represents the depth to the top of the Inyan Kara Group
below the land surface, Black Hills, South Dakota.

Tags: black-hills, depth, environment, geology, geoscientificinformation, inlandwaters, inyan-kara-group, south-dakota, usgs-a1f3ae4e-e81d-4001-8a18-3269ad6195ed
Organization: Department of the Interior
Parsed HYPACK navigation from April 13, 2010 of U.S. Geological Survey Field Activity 2010-006-FA in Indian River Bay, Delaware (JD103HYPACK.SHP, Geographic, WGS 84)

A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was carried out in April 2010. This included surveying at higher spatial resolution in the vicinity of a study site at Holts Landing, where intensive onshore and offshore studies were subsequently completed. The total length of continuous resistivity profiling (CRP) survey lines was 145 kilometers (km), with 36 km of chirp seismic lines surveyed around the perimeter of the bay. Medium-resolution CRP surveying was performed using a 50-meter streamer in a bay-wide grid. Results of the surveying and data inversion showed the presence of many buried paleochannels beneath Indian River Bay that generally extended perpendicular from the shoreline in areas of modern tributaries, tidal creeks, and marshes. An especially wide and deep paleochannel system was imaged in the southeastern part of the bay near White Creek. Many paleochannels also had high-resistivity anomalies corresponding to low-salinity groundwater plumes associated with them, likely due to the presence of fine-grained estuarine mud and peats in the channel fills that act as submarine confining units. Where present, these units allow plumes of low-salinity groundwater that was recharged onshore to move beyond the shoreline, creating a complex fresh-saline groundwater interface in the subsurface. The properties of this interface are important considerations in construction of accurate coastal groundwater flow models. These models are required to help predict how nutrient-rich groundwater, recharged in agricultural watersheds such as this one, makes its way into coastal bays and impacts surface water quality and estuarine ecosystems. For more information on the survey conducted for this project, see https://cmgds.marine.usgs.gov/fan_info.php?fan=2010-006-FA.

Tags: bathymetry, cmgp, coastal-and-marine-geology-program, continuous-resistivity-profiling, delaware, elevation, field-activity-number-2010-006-fa, geospatial-datasets, holts-landing, hypack, indian-river-bay, indian-river-inlet, info-bank-id-k-6-10-dl, location, lowrance-gps, navigation, navigational-data, north-america, north-atlantic-ocean, oceans, open-file-report-2011-1039, piney-neck, point-shapefile, r-v-knob, rosedale-beach, sussex-county, u-s-geological-survey, united-states, usgs, usgs-a6410fdd-cf1a-4527-ae73-cba8c02d9950, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Hydrogeologic unit map coverage for the Black Hills of South Dakota

This data set represents surficial hydrogeology for the Black
Hills of South Dakota.

Tags: black-hills, environment, geology, geoscientificinformation, hydrogeology, inlandwaters, outcrop, south-dakota, surficial-geology, usgs-a62e8ef9-c698-47b7-96b7-0c6e31b73434
Organization: Department of the Interior
Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: NLCD 2001 Imperviousness

This tabular data set represents the mean percent impervious surface from the Imperviousness 
Layer of the National Land Cover Dataset 2001,  (LaMotte and Wieczorek, 2010), compiled for 
every MRB_E2RF1 catchment of selected Major River Basins (MRBs, Crawford and others, 2006). 
The source data set represents imperviousness for the conterminous United States for 2001. The 
Imperviousness Layer of the National Land Cover Data Set for 2001 was produced through a 
cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. 
The MRLC Consortium is a partnership of Federal agencies (http://www.mrlc.gov), consisting of 
the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), 
the U.S. Environmental Protection Agency (USEPA), the U.S. Department of Agriculture (USDA), 
the U.S. Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service 
(USFWS), the Bureau of Land Management (BLM), and the USDA Natural Resources Conservation 
Service (NRCS).
		
The MRB_E2RF1 catchments are based on a modified version of the U.S. Environmental Protection 
Agency's (USEPA) ERF1_2 and include enhancements to support national and regional-scale 
surface-water quality modeling (Nolan and others, 2002;Brakebill and others, 2011).
		
Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering 
New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, 
Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, 
Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), 
the Pacific Northwest (MRB7) river basins, and California (MRB8).

Tags: cali, california, catchment, cogb, conterminous-united-states, environment, geoscientificinformation, glmr, great-lakes-ohio-upper-mississippi-and-souris-red-rainy, imperviousness, inlandwaters, lmtg, lower-mississippi-arkansas-white-red-and-texas-gulf, major-river-basins, missouri, mori, mrb, mrb1, mrb2, mrb3, mrb4, mrb5, mrb6, mrb7, mrb8, mrb_e2rf1, mrb_e2rf1ws, nawqa, nema, new-england-and-mid-atlantic, pacific-northwest, panw, rio-grande-colorado-and-great-basin, sagt, south-atlantic-gulf-and-tennessee, sparrow, usgs-a61b2c2e-c1b6-4948-9e31-aff030eceaa1
Organization: Department of the Interior
Interpretation of Bottom Features from National Oceanic and Atmospheric Administration (NOAA) Survey H12023 in Block Island Sound (H12023_INTERP shapefile, Geographic, WGS84)

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, bedforms, block-island-sound, boulders, cmgp, coastal-and-marine-geology-program, erosional-outliers, esri-shapefile, field-activity-number-2012-002-fa, geoscientificinformation, geospatial-datasets, h12023, info-bank-id-r-02-12-li, interpretations, marine-geology, national-oceanic-and-atmospheric-administration, noaa, noaa-survey-h12023, north-america, oceans, ofr-2013-1003, open-file-report-2013-1003, polygon-shapefile, rhode-island, scientific-interpretation, scour-depressions, sea-floor-characteristics, u-s-east-coast, u-s-geological-survey, united-states, usgs, usgs-a5f974a9-761e-4b78-9540-1f60e0fa45f9, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
LANDFIRE Remap 2016 Succession Class (SClass) HI

LANDFIRE's (LF) Remap Succession Class (SClass) categorizes current vegetation composition and structure into up to five successional classes, with successional classes defined in the appropriate Biophysical Settings (BpS) Model. There are two additional categories for uncharacteristic species (exotic or invasive vegetation), and uncharacteristic native vegetation cover, structure, or composition. Current successional classes and their historical reference conditions are compared to assess departure of vegetation characteristics. To calculate vegetation departure from historical reference conditions, SClass is combined with BpS and LF map zone data to create LF Historical Reference Condition tables. The classification schemes used to produce BpS and SClass may vary slightly between adjacent map zones, and reference conditions are simulated independently for each map zone. Departure can be further quantified by using the Interagency Fire Regime Condition Class Guidebook (FRCC Guidebook) methods (Hann et al. 2010).

Tags: biota, fires, geographic-information-systems, geospatial-datasets, hawaii, hazard-preparedness, hi, image-collections, imagerybasemapsearthcover, landfire-2016, landfire-remap, oconus, raster-digital-data, remote-sensing, sclass, succession-class, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-a5f76b80-8a3b-4a83-a83d-db419df2f231
Organization: Department of the Interior
Seafloor Elevation Change From 2016 to 2017 at Looe Key, Florida Keys-Impacts From Hurricane Irma (version 2.0)

The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted research to quantify bathymetric changes at Looe Key near Big Pine Key, Florida (FL), within a 19.7 square-kilometer area following Hurricane Irma's landfall in September 2017. USGS staff used light detection and ranging (lidar)-derived data acquired by the National Oceanic and Atmospheric Administration (NOAA) between July 21 and November 21, 2016 and USGS multibeam data collected December 12-17, 2017 (Fredericks and others, 2019) to assess changes in seafloor elevation and structure that occurred after the passage of Hurricane Irma. An elevation change analysis between the 2016 NOAA lidar data and the 2017 USGS multibeam data was performed to quantify and map impacts to seafloor elevation and determine elevation and volume change statistics for ten habitat types found at Looe Key. Data were collected under Florida Keys National Marine Sanctuary permit FKNMS-2016-068.

Tags: altimetry, coelenterates, digital-elevation-models, doi-usgs-cmg-gt-coastal-and-marine-geology-u-s-geological-survey-u-s-department-of-interior, elevation, elevation-change, florida, florida-keys, florida-keys-national-marine-sanctuary, florida-reef-tract, geoscientificinformation, lidar, lidar-gt-light-detection-and-ranging, looe-key, marine-geology, mbes-gt-multibeam-mapping-system, multibeam-sonar, ocean-gt-bathymetry-seafloor-topography-gt-water-depth, ocean-gt-coastal-processes-gt-coastal-elevation, ocean-gt-coastal-processes-gt-coral-reefs, ocean-gt-coastal-processes-gt-erosion, ocean-gt-coastal-processes-gt-sea-level-rise, oceans, reef-ecosystems, sea-floor-characteristics, sea-level-change, sea-level-rise, seafloor, seafloor-accretion, seafloor-elevation, seafloor-erosion, submerged, submerged-topography, usgs-a5d923cb-bccc-4e53-93c7-886d9feb0758
Organization: Department of the Interior
BITH2014_LanceRosierUnit_EAARLB_BE_z15_n88g12A_mosaic_metadata: EAARL-B Topography-Big Thicket National Preserve: Lance Rosier Unit, Texas, 2014

A bare-earth topography Digital Elevation Model (DEM) mosaic for the Lance Rosier Unit of Big Thicket National Preserve in Texas, was produced from remotely sensed, geographically referenced elevation measurements collected on January 15, 21, 22, 25, 26, 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 (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, 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, hardin-county, lance-rosier-unit, land-surface-gt-topography-gt-terrain-elevation, laser-altimetry, lidar, lidar-gt-light-detection-and-ranging, remote-sensing, texas, topographic-mapping, topography, usgs-a5d3ddcc-e6fd-4083-9e11-addc15daa33d
Organization: Department of the Interior
2023-310-FA_sol: Digital Chirp Subbottom Profile Start of Line Data Collected During USGS Field Activity Number 2023-310-FA Offshore of Kailua, Hawaii, May 2023

From May 7-13, 2022, the U.S. Geological Survey (USGS) conducted a geologic assessment, including bathymetric mapping, near Kailua, Hawaii in support of efforts to construct an artificial coral reef offshore of Marine Corps Base Hawaii (MCBH). Geophysical data were collected as part of the Coastal Sediment Availability and Flux and Defense Advanced Research Protection Agency (DARPA) Reefense projects. Geophysical data were collected as part of the Coastal Sediment Availability and Flux and Defense Advanced Research Protection Agency (DARPA) Reefense projects. This shapefile represents a point dataset of field activity number (FAN) 2023-310-FA chirp subbottom profile start of trackline locations.

Tags: 2023-310-fa, barrier-island-mapping, chirp, coastal-processes, geology, geoscientificinformation, geospatial-datasets, hawaii, kailua, location, marine-geology, navigational-data, oahu, oceans, seismic-reflection, southwest-pacific, start-of-line-locations, sub-bottom-profiling, usgs-a5a6423b-8e8c-4a3c-b929-77aac1edf179
Organization: Department of the Interior
LANDFIRE 2016 Remap Existing Vegetation Height (EVH) AK

LANDFIRE's (LF) Existing Vegetation Height (EVH) represents the average height of the dominant vegetation for a 30m cell. EVH is produced separately for tree, shrub, and herbaceous lifeforms using training data depicting the average height weighted by species cover and Existing Vegetation Type (EVT) lifeform. Decision tree models using field reference data, lidar, Landsat, and ancillary data are developed separately for each lifeform, then lifeform specific height class layers are merged along with land cover into a single EVH product. EVH ranges are continuous for herbaceous lifeform ranging from 0.1 to 1 meter with decimeter increments, 0.1 to 3 meters for shrub lifeform, and 1 to 99 meters for tree lifeform. If the height values of each lifeform exceed the continuous value range, they are binned into the appropriate maximum height class. EVH is then reconciled through QA/QC measures to ensure lifeform is synchronized with both Existing Vegetation Cover (EVC) and EVT products. Disturbance events not visible in the source imagery are accounted for by using LF Remap Annual Disturbance products. LF uses EVH as an input for LF Remap Fuel Vegetation Cover (FVH).

Tags: ak, alaska, biota, evh, existing-vegetation-height, fires, geographic-information-systems, geospatial-datasets, hazard-preparedness, image-collections, imagerybasemapsearthcover, landfire-2016-remap, lf-2016-remap, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-a596c940-5b54-4d46-8d74-1fa00d7f4249
Organization: Department of the Interior