AndreaBozzo/ceres-open-data-index huggingface dataset:
usSEABED EXTracted data for the entire U.S. Gulf of Mexico and Caribbean (GMX_EXT, Puerto Rico and U.S. Virgin Islands)

This data layer is a point coverage of known sediment samplings, inspections and probings from the usSEABED data collection and integrated using the software system dbSEABED. This data layer represents the extracted (EXT) output of the dbSEABED mining software. It contains data items which were simply extracted from the data resources through data mining. The EXT data is usually based on instrumental analyses (probe or laboratory) but may apply to just a subsample of the sediment (eg. no large shells).

Tags: analyses, benthic-habitats-pacific-project, caribbean-sea, cmgp, coastal-and-marine-geology-program, continental-island-shelf, continental-island-slope, dbseabed, descriptions, distributions, estuarine-coastal, floridian-ecoregion, geology, geoscientificinformation, grain-size, gravel-deposits, greater-antilles-ecoregion, gulf-of-mexico, instaar, institute-of-arctic-and-alpine-research, location, marine-aggregates-resources-and-processes, marine-nearshore, marine-offshore, nonmetallic-mineral-resources, northern-gulf-of-mexico-ecoregion, oceans, pacific-science-center, psc, puerto-rico, sand-deposit, sand-deposits, sand-resources, sea-floor-characteristics, seabed, seafloor, sediment-data, sediment-resources, substrate, texture, u-s-geological-survey, u-s-gulf-coast, u-s-virgin-islands, unconsolidated-mineral-substrate, united-states, university-of-colorado, usgs, usgs-cb20440f-ff99-4bb4-8f6d-23a08dd3d0b7, usseabed, whsc, woods-hole-science-center
Organization: Department of the Interior
1m Sidescan-Sonar Mosaic of St. George Sound, Florida Collected 8 April 2005 (JD098) (STGSNDJD0981M.TIF )

These data were collected under a cooperative mapping program between the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration Coastal Services Center (NOAA\CSC), and the Apalachicola National Estuarine Research Reserve (NERR). The primary objectives of this program were to collect marine geophysical data to develop a suite of seafloor maps to better define the extent of oyster habitats, the overall seafloor geology of the bay and provide updated information for management of this resource. In addition to their value for management of the bay's oyster resources, the maps also provide a geologic framework for scientific research and the public.
High resolution bathymetry, backscatter intensity, and seismic profile data were collected over a 230 square kilometers of the floor of the bay. The study focused on the Apalachicola Bay and Western St. George Sound portions of the estuary in mostly in depths &gt; 2.0 meters.

Tags: apalachicola-bay, apalachicola-national-estuarine-research-reserve, backscatter-imagery, cmgp, coastal-and-marine-geology-program, field-activity-serial-number-05001, field-activity-serial-number-06001, florida, geologic-mapping, geoscientificinformation, geospatial-datasets, geotiff-image, gray-scale-imagery, grey-scale-imagery, gulf-of-mexico, image-mosaics, imagerybasemapsearthcover, klein-3000, marine-geology, marine-geophysics, oceans, sea-floor, sea-floor-acoustic-reflectivity, seafloor, seafloor-mapping, sidescan, sidescan-sonar, st-george-sound, u-s-geological-survey, united-states, usgs, usgs-cb402343-ca61-431f-8bb4-8701cc47c529, whsc, woods-hole-science-center
Organization: Department of the Interior
Sprague River Oregon Centerline North Fork 2000

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-b5384723-7b40-456e-b1a9-83a075d14066
Organization: Department of the Interior
Airborne geophysical survey: Chelan, 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, chelan, f53007-chelan, f53017-douglas, f53047-okanogan, field-monitoring-stations, geophysical-surveys, geophysics, geospatial-datasets, magnetic, magnetic-field-earth, magnetic-surveys, residual-magnetic-field, total-field, united-states, usgs-bdfedaf1-1d4b-460b-82a2-5b421b1907db, wa, washington
Organization: Department of the Interior
LANDFIRE 2016 Remap Forest Canopy Cover (CC) AK 2020 Capable Fuels

LANDFIRE's (LF) 2016 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 calculate 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: ak, alaska, biota, canopy-cover, cc, 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-bde824ee-a87a-42d6-9d4a-260e8742a546
Organization: Department of the Interior
Raw and modified raw continuous resistivity profile data collected in Northport Harbor on Long Island, New York on May 12, 2008

An investigation of coastal groundwater systems was performed along the north shore of Long Island, New York during May 2008 to constrain nutrient delivery to Northport Harbor and Manhasset Bay by delineating locations of likely groundwater discharge. The embayments are bounded by steep moraines and are underlain by thick fine-grained sediments deposited in proglacial lakes during the last ice age. Beach sand and gravel overlie the glacial deposits along the coast. The continuous resistivity profiling (CRP) surveys that were conducted indicate the existence of low-salinity groundwater in shore-parallel bands, typically 25 to 50 meters wide, along the shorelines of both bays. Piezometer sampling and seepage meter deployments in intertidal and subtidal areas of the two bays confirmed the presence and discharge of brackish and low-salinity groundwater. The large tidal ranges (up to 3 meters), and the steep onshore topography and hydraulic gradients are important variables controlling coastal groundwater discharge in these areas. For more information on the survey involved in this project, see https://cmgds.marine.usgs.gov/fan_info.php?fan=2008-007-FA.

Tags: agi-supersting, bathymetry, cmgp, coastal-and-marine-geology-program, continuous-resistivity-profile, continuous-resistivity-profiling, crp, elevation, field-activity-number-2008-007-fa, geoscientificinformation, groundwater, info-bank-id-t-1-08-li, location, long-island, long-island-sound, lowrance-gps, navigation, navigational-data, new-york, north-america, north-atlantic, northport-harbor, oceans, r-v-terrapin, raw-data, submarine-groundwater, suffolk-county, u-s-geological-survey, united-states, usgs, usgs-b4ce7941-00a9-4dba-a601-29578c833692, water-temperature, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Functional gene microarray data from cold-water corals (Acanthogorgia spp., Desmophyllum dianthus, Desmophyllum pertusum, and Enallopsammia profunda) from the Atlantic Ocean off the Southeast Coast of the United States–Raw Data and Sample Site Information

The files in this data release (Kellogg and Voelschow, 2023) contain normalized microarray probe intensity values from GeoChip 5.0S microarrays referenced in the journal article entitled “Functional gene composition and metabolic potential of deep-sea coral-associated microbial communities” by Pratte and others (2023). The GeoChip 5.0S microarrays, provided by Glomics Inc., contain 57,498 oligonucleotide probes that target 383 microbial (archaeal, bacterial, and fungal) genes and cover 151,797 coding sequences within the following metabolic categories: carbon, sulfur, and nitrogen cycling, as well as metal homeostasis, antibiotic resistance, and contaminant degradation. One microarray was run per coral (number of samples [n] = 11), using 400 nanograms (ng) of DNA extracted from the sample, plus a microarray run as a reagent blank (n = 1). The coral samples included one Acanthogorgia aspera, one Acanthogorgia spissa, three Desmophyllum dianthus, three Desmophyllum pertusum (formerly Lophelia pertusa) and three Enallopsammia profounda species. Corals were collected during two research cruises: the first in August 2018 and the second in April 2019, from six sites offshore of the southeastern coast of the United States in water depths ranging from 296–1567 meters (m). Coral samples were flash frozen in liquid nitrogen on the ship and stored at -80 degrees Celsius (°C) until processed. Extraction of deoxyribose nucleic acid (DNA) from the coral samples and kit blank occurred on August 5, 2019, at the Coral Microbial Ecology Laboratory in St. Petersburg, Florida (FL) using a QIAGEN DNeasy PowerBiofilm kit. Then, DNA samples were sent to Glomics Inc. on August 6, 2019, for application of GeoChip 5.0S microarrays. For more information, please see the README file and metadata files.

Tags: atlantic-ocean, biota, blake-deep, cape-lookout, coelenterates, dna-sequencing, marine-biology, microbiology, oceans, pamlico-canyon, pea-island-seep, richardson-ridge, savannah-bank, united-states, usgs-bde2bcd6-a8c3-4397-8d66-99698e57a4c4
Organization: Department of the Interior
Airborne geophysical survey: San Francisco Peaks, Arizona Survey Part 2 of 3

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, arizona, az, f04005-coconino, field-monitoring-stations, geophysical-surveys, geophysics, geospatial-datasets, magnetic, magnetic-field-earth, magnetic-surveys, residual-magnetic-field, san-francisco-peaks, total-field, united-states, usgs-bde07151-60cd-4dd2-9d6e-aaf13092448b
Organization: Department of the Interior
Digital Shoreline Analysis System version 4.3 shoreline intersection points used to calculate long-term shoreline change statistics within the Martha's Vineyard coastal region including the Vineyard Sound-, Nantucket Sound- and Atlantic Ocean- facing coasts of Martha's Vineyard and Nomans Land (MarthasVineyard_intersects_LTw.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 in total length) 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, digital-shoreline-analysis-system, dsas, erosion, esri-point-shapefile, geospatial-datasets, historic-shoreline, intersects, long-term, marthas-vineyard, massachusetts, massachusetts-office-of-coastal-zone-management, measurement-locations, new-england, nomans-land, oceans, shoreline, shoreline-change-rate, transect, u-s-geological-survey, united-states, usgs, usgs-bdd543a2-3d55-4da8-9192-6005e8f31e46, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Airborne geophysical survey: San Gregorio-Hollister, California

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, ca, california, f06053-monterey, f06069-san-benito, f06081-san-mateo, f06085-santa-clara, f06087-santa-cruz, field-monitoring-stations, geophysical-surveys, geophysics, geospatial-datasets, hollister, magnetic, magnetic-field-earth, magnetic-surveys, residual-magnetic-field, san-gregorio, total-field, united-states, usgs-bdc00384-132b-4d73-86a3-2f0c29692c1b
Organization: Department of the Interior
2015 Mississippi and Alabama USGS Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. 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 2015 Mississippi and Alabama USGS 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: alabama, cmgp, coastal-and-marine-geology-program, coastal-processes, elevation, environment, geoscientificinformation, gulf-of-mexico, hazards, marine-geology, mississippi, ocean-sciences, oceans, spcmsc, st-petersburg-coastal-and-marine-science-center, u-s-geological-survey, united-states-of-america, usgs, usgs-bdbaf461-0bb4-4d0d-bea2-2f1586bbd6df
Organization: Department of the Interior
Bathymetric Contours for Lake Minnewashta, Dickinson County, Iowa

This data set consists of digital bathymetry contours for Lake Minnewashta in Dickinson Co., Iowa. 
The U.S. Geological Survey conducted a bathymetric survey of Lake Minnewashta in 2004.

Tags: bathymetry, contours, dickinson-county, environment, geoscientificinformation, hydrology, inlandwaters, iowa, lake-minnewashta, lakes, usgs, usgs-bdba1a26-45a2-467e-9f90-44c186ec478e
Organization: Department of the Interior
LANDFIRE Remap Annual Disturbance CONUS 2016

LANDFIRE's (LF) Annual Disturbance (Dist) product provides temporal and spatial information related to landscape change. Dist depicts areas that have experienced a disturbance within a given year of 4.5 hectares (11 acres) or larger, along with cause and severity. Information sources include national fire mapping programs such as Monitoring Trends in Burn Severity (MTBS), Burned Area Reflectance Classification (BARC), and Rapid Assessment of Vegetation Condition after Wildfire (RAVG), local user/agency contributed data (LF Events Geodatabase), and remotely sensed Landsat imagery. Composite Landsat image pairs from the current year, prior year, and following year are spectrally compared to determine where change occurred and its corresponding severity. Additionally, vegetation indices (Normalized Differenced Vegetation Index [NDVI] and Normalized Burn Ratio [NBR]) serve as inputs into the Multi-Index Integrated Change Algorithm (MIICA) (Jin et al. 2013); MIICA outputs and differenced products (e.g., dNDVI and dNBR) are used to locate change.  Predictive modeling based on the previous 10 years of disturbance data provides an additional dataset useful for locating disturbance.  Image analysts use the aforementioned datasets separately or in combination to isolate true change from false change (e.g., change caused by stark differences in phenology rather than a true disturbance event). The accuracy of the final product is often related to the quality of the Landsat image composite.  Areas with persistent cloud cover are particularly challenging (e.g., the northeast US). Fire caused disturbances sourced from MTBS may contain data gaps where clouds, smoke, water or Landsat7 SLC-off stripes exist. Models trained from pre-fire and post-fire Landsat data are used to fill the gaps. The result is continuous severity and extent information for all MTBS fire disturbances. MTBS pixels derived from gap filling techniques, such as modeling, are noted as such in their corresponding attribute table. Smaller fires that do not meet the size criteria set forth by MTBS) may be attributed as a Burned Area Essential Climate Variable (BAECV), which are only produced for the lower 48 states. Causality and severity information assigned to a disturbance are prioritized by source, with the highest priorities reserved for fire mapping programs (MTBS, BARC and RAVG) followed by user-contributed events contained in the LF Events Geodatabase, and lastly, Landsat image based change.

Tags: annual-disturbance, annual-disturbance-2016, biota, 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-bdb69dc3-c053-410a-af98-de993e1a2e9e, yearly-disturbance
Organization: Department of the Interior
EAARL Topography-Padre Island National Seashore

Elevation maps (also known as Digital Elevation Models or DEMs) of Padre Island National Seashore were produced from remotely-sensed, geographically-referenced elevation measurements in cooperation with NASA and NPS. Point data in ascii text files were interpolated in a GIS to create a grid or digital elevation model (DEM) of each beach surface. Elevation measurements were collected in Texas, over Padre Island National Seashore, using the NASA Experimental Advanced Airborne Research Lidar (EAARL), a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation 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 beach at approximately 60 meters per second while surveying from the low-water line to the landward base of the sand dunes. The EAARL, developed by the National Aeronautics and Space Administration (NASA) located at Wallops Flight Facility in Virginia, measures ground elevation with a vertical resolution of 15 centimeters. A sampling rate of 3 kHz or higher results in an extremely dense spatial elevation data set. Over 100 kilometers of coastline can be easily surveyed within a 3- to 4-hour mission time period. The ability to sample large areas rapidly and accurately is especially useful in morphologically dynamic areas such as barrier beaches. Quick assessment of topographic change can be made following storms comparing measurements against baseline data. When subsequent elevation maps for an area are analyzed, they provide a useful tool to make management decisions regarding coastal 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, bare-earth-elevation, bathymetry-and-elevation, derived-surface, digital-elevation-model, digital-elevation-models, distributions, elevation, elevation-change, experimental-advanced-airborne-research-lidar, laser-altimetry, lidar, padre-island-national-seashore, resource-management, texas, topographic-mapping, topography, united-states-gulf-of-mexico, usgs-bd96a723-0756-4244-ba31-934fffaf4674
Organization: Department of the Interior