AndreaBozzo/ceres-open-data-index huggingface dataset:
50-Meter Digital Elevation Model of Coastal Bathymetry Collected in 2012 from the Chandeleur Islands, Louisiana (U.S. Geological Survey Field Activity Numbers 12BIM03 and 12BIM04)

As part of the Barrier Island Evolution Research Project, scientists from the U.S. Geological Survey's St. Petersburg Coastal and Marine Science Center conducted nearshore geophysical surveys off the northern Chandeleur Islands, Louisiana, in Julyof 2012. The overall objective of the study is to better understand barrier-island geomorphic evolution, particularly storm-related depositional and erosional processes that shape the islands over annual to interannual timescales (1-5 years). The collection of geophysical data will allow us to identify relationships between the geologic history of the island and its present day morphology and sediment distribution. This mapping effort was the first in a series of three planned surveys in this area. High resolution geophysical data collected in each of 3 consecutive years along this rapidly changing barrier-island system will provide a unique time-series dataset that will significantly further the analyses and geomorphological interpretations of this and other coastal systems, improving our understanding of coastal response and evolution over short time scales (1-5 years).
This report serves as an archive of processed interferometric swath and single-beam bathymetry data that were collected during two cruises (USGS Field Activity Numbers 12BIM03 and 12BIM04) along the northern portion of the Chandeleur Islands, Breton National Wildlife Refuge, Louisiana, in July of 2012. Geographic information system data products include a 50 m-cell-size interpolated bathymetry grid surface, trackline maps, and point data files. Additional files include error analysis maps, Field Activity Collection System logs, and formal Federal Geographic Data Committee metadata.

Tags: 12bim03, 12bim04, 320-bathyprofiler, barrier-island-evolution-research-project, barrier-island-mapping, bathymetry, caris, chandeleur-islands, chandeleur-sound, cmgp, coastal-and-marine-geology-program, echosounder, elevation, geophysical, geoscientificinformation, gulf-of-mexico, hips-and-sips, hydrography, imagerybasemapsearthcover, interferometry, knudsen, louisiana, marine-geology, oceans, single-beam, spcmsc, st-petersburg-coastal-and-marine-science-center, swath, u-s-geological-survey, usgs, usgs-60229bff-83d7-487d-938b-3375f81fcd5f
Organization: Department of the Interior
Abiotic data collected in the St. Lawrence River and several tributaries in and adjacent to the Saint Regis Mohawk Tribe reservation in northern New York, 2004

This data set includes the sample site locations, site descriptions, and abiotic data used in the analyses reported in McKenna et al. 2008. The data represent selected abiotic conditions within the St. Lawrence and lower reaches of four US tributaries during 2004. Samples were collected from shallow, seinable areas (&lt; 1.5 m) of the St. Lawrence River, adjacent wetland channels, and the lower reaches of major tributaries (Grass River, Raquette River, St. Regis River, and Salmon River). This part of the St. Lawrence River is non-tidal fresh water. Sample locations were randomly selected from a grid of spatial cells (1 km x 1 km) encompassing the area within the 5,700 ha Akwesasne Wetland Complex (at the intersection of the New York, Ontario, and Quebec borders). Continuously recording temperature (Hobo H8 one channel) and pressure (Hobo-Atm; water-level) sensors (Onset, Bourne, Massachusetts) were installed at 12 of the sites. The variability of water level was represented by the spatially interpolated coefficient of variation (CV) of those continuous water pressure measurements.

Tags: akwesasne-marsh, environment, grass-river, grasse-river, hogansburg, physical-chemical-features, raquette-river, saint-lawrence-river, saint-regis-mohawk-reservation, saint-regis-river, state-of-new-york, usgs-60228ef7d34e31ed20c86ef0, water-sampling, wetland-ecosystems
Organization: Department of the Interior
Geochemical data from laboratory and field experiments conducted to evaluate degradation of perchlorate and RDX in groundwater, White Sands Missile Range HTA site, New Mexico

This metadata record presents geochemical analytical data determined during laboratory experiments and a field pilot test collected during 2008-2010 to evaluate degradation of the cyclic nitramine explosive, hexahydro-1,3,4-trinitro-1,3,5-triazine (RDX), and perchlorate in a fractured rock aquifer.  These experiments were conducted as part of a study to evaluate the feasibility of enhanced bioremediation for treatment of groundwater contaminants at White Sands Missile Range HTA site, New Mexico.  Experiments included two anaerobic microcosm experiments, a culture enrichment test, and field injection test with the dechlorinating culture WBC-2. Data includes concentrations of nitrate, ammonium, perchlorate, RDX, and RDX metabolites. The field test data include concentrations of perchlorate and RDX and its metabolites in groundwater and in Bio-Sep beads that were suspended in wells.

Tags: bioremediation, field-injection-test, fractured-rock, inlandwaters, microcosms, new-mexico, perchlorate, rdx, usgs-60227f1fd34e31ed20c86edc, wbc-2-consortium, white-sands-missile-range
Organization: Department of the Interior
Bivalve metrics in the North San Francisco Bay and Sacramento-San Joaquin Delta

This data release contains eleven data tables and a data dictionary for the Department of Water Resources' and the Bureau of Reclamation’s Environmental Monitoring Program's (EMP) Benthic Monitoring program.

Tags: benthic-ecology, benthic-ecosystems, benthos, biota, bivalve, bivalves, california, community-ecology, sacramento-san-joaquin-delta, san-francisco-bay, san-pablo-bay, seasons, spatial-monitoring, suisun-bay, temporal-monitoring, time-periods, usgs-601e027dd34e94a4b9fc307f
Organization: Department of the Interior
Model parameters and output of net ecosystem carbon balance for the Great Dismal Swamp, Virginia and North Carolina, USA

In this study, we determined the carbon balance in the Great Dismal Swamp, a large forested peatland in the southeastern USA, which has been drained for over two hundred years and now is being restored through hydrologic management. We modeled future net ecosystem carbon balance over 100 years (2012 to 2112) using in situ field observations paired with simulations of water-table depth. The three scenarios used in the model were baseline conditions, flooded/wet conditions, and drained/dry conditions, which represent a range of potential management actions and climate conditions at the Great Dismal Swamp. This U.S. Geological Survey Data Release provides the modeled output estimating the net ecosystem carbon balance, on an annual time-step, from 2012 through 2112, for each scenario. The U.S. Geological Survey modeling framework is referred to as the Land Use and Carbon Scenario Simulator (LUCAS), which uses a state-and-transition simulation model coupled with a carbon stock-flow model. The model operates within an open source software environment (SyncroSim) to annually track changes in vegetation (i.e., cedar, maple-gum and pine-pocosin) and their corresponding carbon stocks. The modeled output for each scenario is provided in a tabular format (csv).

Tags: biota, carbon-cycling, ecosystem-management, environment, hydrology, peat, scenarios, usgs-601de12bd34e94a4b9fc304b
Organization: Department of the Interior
Python-HBRT model and groundwater levels used for estimating the static, shallow water table depth for the State of Wisconsin

A histrogram-based boosted regression tree (HBRT) method was used to predict the depth to the surficial aquifer water table (in feet) throughout the State of Wisconsin. This method used a combination of discrete groundwater levels from the U.S. Geological Survey National Water Information System, continuous groundwater levels from the National Groundwater Monitoring Network, the State of Wisconsin well-construction database, and NHDPlus version 2.1-derived points. The predicted water table depth utilized the HBRT model available through Scikit-learn in Python version 3.10.10. The HBRT model can predict the surficial water table depth for any latitude and longitude for Wisconsin. A total of 48 predictor variables were used for model development, including basic well characteristics, soil properties, aquifer properties, hydrologic position on the landscape, recharge and evapotranspiration rates, and bedrock characteristics. Model results indicate that the mean surficial water table depth across Wisconsin is 28.3 feet below land surface, with a root mean square error of 7.40 feet for the holdout data to the HBRT model. Aside from the overall HBRT methods contained as part of the Python script, this data release includes a self-contained model directory for recreating the HBRT model published in this data release. The model directory also includes a model object for the HBRT model used to predict the surficial aquifer water table depth (in feet) for the State of Wisconsin. Three separate directories are available within this data release that define the input predictor variables, water levels, and NHD points for the HBRT model. The 'bedrock-overlay' sub-directory contains geospatial data that define the special selection zones used in the depth-to-water well selection (DTW_well_selection_zones.docx). The 'water-levels' sub-directory contains input files for the NHDPlus version 2.1 points, the State of Wisconsin well construction spreadsheets, and water level summary files. The 'python-attributes' sub-directory contains predictor variable rasters and vector data that predict the surficial water table depth for Wisconsin and a Jupyter Notebook used for the attribution and input files for well and NHD points.

Tags: aquifer-system, groundwater, hydrogeology, hydrology, inlandwaters, usgs-601ddaead34e94a4b9fc3036
Organization: Department of the Interior
Argon data for Santa Cruz Basin, Arizona (ver. 1.1, November 2022)

This data release includes 40Ar/39Ar data from the U.S. Geological Survey for samples from the Santa Cruz Basin, Arizona. Mineral samples were collected by Kenzie Turner and William Page from the upper Santa Cruz Basin, Arizona. Potassium-bearing mineral grains were separated from the bulk sample and analyzed by argon geochronology at the U.S. Geological Survey Argon Geochronology Laboratory in Denver, Colorado. The data provide age constraints on units in the relevant geologic mapping area.

Tags: 40ar-39ar, argon-geochronology-laboratory, geologic-mapping, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, gggsc, mineral-resource-program, mrp, u-s-geological-survey, usgs, usgs-601dae18d34e94a4b9fc2e83
Organization: Department of the Interior
Interpolated Hydrogeologic Framework and Digitized Datasets for Upstate New York Study Areas

The town of Ellicottville is located in Cattaraugus County, New York. There are no previous USGS reports here. 
The four child pages below break the data up into interpreted geologic information, well logs, supplemental point data., and interpolation statistics.

Tags: aquifer-mapping, bedrock-mapping, cattaraugus-county, ellicottville, glacial-geology, new-york, sourcewater, usgs-601d9cf0d34e94a4b9fc2d06, valley-fill, well-log
Organization: Department of the Interior
Interpolated hydrogeologic framework and digitized datasets for upstate New York study areas: Jamestown study area

The Jamestown study area is located within the counties of Chautauqua and Cattaraugus, New York. The predominant population center is the city of Jamestown. Previous USGS reports here include Open-File Report 82-113 (Stelz and others 1982) and Bulletin 58-1960 (Crain, 1966)
The five child pages below break the data up into georeferenced and digitized previous report data, interpreted geologic information, well logs, supplemental point data, and interpolation statistics.

Tags: aquifer-mapping, bedrock-mapping, cattaraugus-county, chautauqua-county, glacial-geology, jamestown, new-york, sourcewater, usgs-601d9cc6d34e94a4b9fc2cfe, valley-fill, well-log
Organization: Department of the Interior
Humpback chub (Gila cypha) capture history data (2009-2020), Grand Canyon, Arizona

These tabular data were compiled to estimate abundance from paired physical capture and antenna detection data in closed, open, and robust design mark-recapture models. These data represent humpback chub capture histories in the Little Colorado River (LCR) and in the juvenile chub monitoring (JCM) reach of the Colorado River in the Grand Canyon, Arizona. The dataset includes multistate capture histories that describe both physical captures and antenna detections. The 'LCR chub' dataset was collected from long-term monitoring efforts by the US Fish and Wildlife Service in the lower 13.56 river km of the LCR (2009-2020), as well as a summer sampling trip conducted by US Geological Survey (2013-2020). Also, the LCR chub dataset includes data from the juvenile chub monitoring (JCM) reach, which was located 63.4-65.0 river miles downstream of Lees Ferry (2009-2016) and expanded from river mile 62.8-66.0 from 2017-2020.  Data from the JCM reach was collected as part of the Near Shore Ecology (NSE) project by the University of Florida (2009-2011) and by US Geological Survey (2012-2020). These data can be used to help inform more complex models, such as models that use robust design to estimate temporary emigration from the study area.

Tags: abundance-organisms, aggregations-monitoring, antenna, arizona, autonomous-passive-integrated-transponder-antenna, biota, capture-histories, capture-recapture, colorado-river, field-inventory-and-monitoring, grand-canyon, humpback-chub, lees-ferry, little-colorado-river, long-term-ecological-monitoring, mathematical-modeling, multistate-model, pit-antenna, usgs-601d7009d34e94a4b9fc2b92
Organization: Department of the Interior
Groundwater-quality data in the Coachella Valley Domestic Supply Aquifer Study Unit, 2020: Results from the California GAMA Priority Basin Project (ver. 2.0, April 2022)

The U.S. Geological Survey collected groundwater samples from 38 wells used for domestic and small system drinking water supply in the Coachella Valley of California in 2020. The wells were sampled for the Coachella Valley Basin (CODA) Domestic Aquifer Study Unit of the California State Water Resources Control Board Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project’s assessment of the quality of groundwater resources used for domestic and small system drinking water supplies. Coachella Valley is located in the Desert hydrogeologic province (Johnson and Belitz, 2003) and is structurally divided into four subbasins by the San Andreas fault: the Indio subbasin, the Mission Creek subbasin, the Desert Hot Springs subbasin, and the San Gorgonio Pass subbasin (California Department of Water Resources, 2016). These basins have CA basin designations 7-21.01, 7-21.02, 7-21.03, and 7-21.04 respectively. The study area was divided into 30 equal-area grid cells with at least one well sampled in 26 of the 30 cells. The 10 understanding wells were selected to provide more data in areas where wells were more abundant and to provide more water quality data for wells in the State Small Water System program. In three cases, Sampled wells within 1 mile of an unsampled cell were used to represent unsampled grid cells. Groundwater samples from all 38 wells were analyzed for field water-quality parameters and microbial indicators, volatile organic compounds, pesticides and pesticide degradates, major ions and trace elements, chromium (VI), perchlorate, nutrients, carbon-14 in dissolved inorganic carbon, stable isotopic ratios of water, tritium, per- and polyfluoroalkyl substances (PFAS), sulfur hexafluoride, and noble gases. Groundwater levels were measured in 31 of the 38 wells. All results are presented in this data release, except results sulfur hexafluoride and noble gases.
NOTE: The only difference between the original version of this data release and this version is that  this data release includes results for tritium. Tritium results were not included in the original version because they were not available at the time of publication.

Tags: california, coachella-valley, datasets, domestic-well-water-use, drinking-water-use, environment, gama, groundwater, groundwater-ambient-monitoring-and-assessment-program, groundwater-level, indio, inlandwaters, riverside-county, salton-sea, sonoran-desert, usgs-601d609ad34e94a4b9fc2b48, water-chemistry, water-quality, water-resources, water-sampling
Organization: Department of the Interior
Groundwater-quality data in the Coachella Valley Domestic Supply Aquifer Study Unit, 2020: Results from the California GAMA Priority Basin Project (ver. 2.0, April 2022)

The U.S. Geological Survey collected groundwater samples from 38 wells used for domestic and small system drinking water supply in the Coachella Valley of California in 2020. The wells were sampled for the Coachella Valley Basin (CODA) Domestic Aquifer Study Unit of the California State Water Resources Control Board Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project’s assessment of the quality of groundwater resources used for domestic and small system drinking water supplies. Coachella Valley is located in the Desert hydrogeologic province (Johnson and Belitz, 2003) and is structurally divided into four subbasins by the San Andreas fault: the Indio subbasin, the Mission Creek subbasin, the Desert Hot Springs subbasin, and the San Gorgonio Pass subbasin (California Department of Water Resources, 2016). These basins have CA basin designations 7-21.01, 7-21.02, 7-21.03, and 7-21.04 respectively. The study area was divided into 30 equal-area grid cells with at least one well sampled in 26 of the 30 cells. This dataset identifies the well locations, study unit boundary, and grid cells for the Coachella Valley Domestic-Supply Aquifer study unit.
Note: The only difference between the original version of this data release and this version is that  this data release includes results for tritium. Tritium results were not included in the original version because they were not available at the time of publication.

Tags: california, coachella-valley, datasets, domestic-well-water-use, drinking-water-use, environment, gama, groundwater, groundwater-ambient-monitoring-and-assessment-program, groundwater-level, indio, inlandwaters, riverside-county, salton-sea, sonoran-desert, usgs-601d5efdd34e94a4b9fc2b3d, water-chemistry, water-quality, water-sampling
Organization: Department of the Interior
Groundwater-quality data in the Coachella Valley Domestic Supply Aquifer Study Unit, 2020: Results from the California GAMA Priority Basin Project (ver. 2.0, April 2022)

The U.S. Geological Survey collected groundwater samples from 38 wells used for domestic and small system drinking water supply in the Coachella Valley of California in 2020. The wells were sampled for the Coachella Valley Basin (CODA) Domestic Aquifer Study Unit of the California State Water Resources Control Board Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project’s assessment of the quality of groundwater resources used for domestic and small system drinking water supplies. Coachella Valley is located in the Desert hydrogeologic province (Johnson and Belitz, 2003) and is structurally divided into four subbasins by the San Andreas fault: the Indio subbasin, the Mission Creek subbasin, the Desert Hot Springs subbasin, and the San Gorgonio Pass subbasin (California Department of Water Resources, 2016). These basins have CA basin designations 7-21.01, 7-21.02, 7-21.03, and 7-21.04 respectively. The study area was divided into 30 equal-area grid cells with at least one well sampled in 26 of the 30 cells. The 10 understanding wells were selected to provide more data in areas where wells were more abundant and to provide more water quality data for wells in the State Small Water System program. In three cases, Sampled wells within 1 mile of an unsampled cell were used to represent unsampled grid cells. Groundwater samples from all 38 wells were analyzed for field water-quality parameters and microbial indicators, volatile organic compounds, pesticides and pesticide degradates, major ions and trace elements, chromium (VI), perchlorate, nutrients, carbon-14 in dissolved inorganic carbon, stable isotopic ratios of water, tritium, per- and polyfluoroalkyl substances (PFAS), sulfur hexafluoride, and noble gases. Groundwater levels were measured in 31 of the 38 wells. All results are presented in this data release, except results sulfur hexafluoride and noble gases. 
NOTE: The only difference between the original version of this data release and this version is that  this data release includes results for tritium. Tritium results were not included in the original version because they were not available at the time of publication.

Tags: california, coachella-valley, datasets, domestic-well-water-use, drinking-water-use, environment, gama, groundwater, groundwater-ambient-monitoring-and-assessment-program, groundwater-level, indio, inlandwaters, riverside-county, salton-sea, sonoran-desert, usgs-601d54b7d34e94a4b9fc2b1b, water-chemistry, water-quality, water-sampling
Organization: Department of the Interior
HW3_Q72.TIF - Hawaii III - Northwestern Hawaii U.S. EEZ GLORIA sidescan-sonar data mosaic (20 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-601c830c-9208-4484-98d1-f4646a79cbb8, wcmg, western-coastal-and-marine-geology
Organization: Department of the Interior