AndreaBozzo/ceres-open-data-index huggingface dataset:
Stillwater Complex, Montana—logs of core drilled by Stillwater Mining Company and Anaconda Copper Corp. in the Stillwater Mine area, 1983 to 1989

This dataset includes TIFF (Tagged Image File Format) images of graphic drill core logs showing associated drill core information, a TIFF image of the explanation for the lithology and structure sections of the logs, an Esri shapefile of the locations of the drill holes, and 12 .csv files of tabular data that were compiled from handwritten drill core logs. The drill core is from the Stillwater Mine area of the Stillwater Complex, Montana and was drilled from 1983 to 1989 by the Stillwater Mining Company and Anaconda Copper Corp. The data shown in the graphic drill logs and contained within the .csv files includes lithologic, structure, percent recovery, grain size, sulfide, nickel, copper, platinum, and palladium mineralization information. The graphic drill logs were created using Golden software's Strater 5 drill core visualization software and are provided with both logarithmic and linear scales where applicable. The graphic drill logs are plotted using the depth recorded in the drill logs and do not reflect stratigraphic true thickness.
All instances of question marks ("?") represent original data as written by the geologist. In areas where the hand-written notes were unreadable, the notation of "[unreadable]" was used.
See USGS SIR 2014-5183 (https://pubs.usgs.gov/sir/2014/5183/) for report and spatial data relating to the Stillwater Complex.

Tags: core-analysis, geochemistry, geoscientificinformation, montana, stillwater, usgs-641c7817d34e807d39b647e2
Organization: Department of the Interior
Summary data on the forage base and critical forage taxa for Chesapeake waterbirds

We collated existing quantitative data on avian dietary composition of 58 waterbird species that make use of the Chesapeake Bay. From this database, we quantified the relative importance of forage taxa to the diets of each waterbird species. This data will enable us to develop a comprehensive suite of forage taxa indicators whose abundance and distributions can be monitored as a proxy for Chesapeake Bay ecosystem health. These data support a paired USGS authored publication.

Tags: biota, foodweb, usgs-642199b8d34e807d39ba8067, waterbirds
Organization: Department of the Interior
VA Bias_Feature – Feature class containing Virginia proxy-datum bias information to be used in the Digital Shoreline Analysis System.

Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change.
This data release includes a compilation of previously published historical shoreline positions for Virginia spanning 148 years (1849-1997), and two new mean high water (MHW) shorelines extracted from lidar data collected in 2010 and 2017. These data provide a standardized shoreline database for the state. This release includes both long-term (up to 168 years) and short term (~20 years) rates. Files associated with the long-term and short-term rates are appended with "LT" and "ST", respectively. A proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (e.g. High Water Line (HWL) shoreline) and a datum shoreline (e.g. MHW shoreline) is also included in this release.

Tags: atlantic-coast, cmgp, coastal-and-marine-geology-program, coastal-processes, coastal-services-center, csc, digital-shoreline-analysis-system, dsas, endpoint-rate, environment, erosion, geoscientificinformation, geospatial-datasets, high-water-line-offsets, high-water-line-uncertainty, lidar-uncertainty, linear-regression-rate, national-oceanic-and-atmospheric-administration, noaa, oceans, pdb, proxy-datum-bias, shoreline-accretion, shoreline-change-rate, u-s-geological-survey, united-states, usgs, usgs-641c773fd34e807d39b647df, usgs-national-shoreline-change-project, virginia, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Intersects for the coastal region of Virginia generated to calculate long-term shoreline change rates using the Digital Shoreline Analysis System version 5.1

The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change.  
This data release includes a compilation of previously published historical shoreline positions for Virginia spanning 148 years (1849-1997), and two new mean high water (MHW) shorelines extracted from lidar data collected in 2010 and 2017. These data provide a standardized shoreline database for the state. This release includes both long-term (up to 168 years) and short term (~20 years) rates. Files associated with the long-term and short-term rates are appended with "LT" and "ST", respectively. A proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (e.g. High Water Line (HWL) shoreline) and a datum shoreline (e.g. MHW shoreline) is also included in this release.

Tags: accretion, atlantic-coast, baseline, coastal-processes, digital-shoreline-analysis-system, dsas, environment, erosion, geoscientificinformation, geospatial-datasets, long-term-change, mid-atlantic, north-america, oceans, shoreline, shoreline-accretion, shoreline-change, short-term-change, u-s-geological-survey, united-states, usgs, usgs-641c6d69d34e807d39b643db, virginia, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Intersects for coastal region of Virginia generated to calculate short-term shoreline change rates using the Digital Shoreline Analysis System version 5.1

The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change.
This data release includes a compilation of previously published historical shoreline positions for Virginia spanning 148 years (1849-1997), and two new mean high water (MHW) shorelines extracted from lidar data collected in 2010 and 2017. These data provide a standardized shoreline database for the state. This release includes both long-term (up to 168 years) and short term (~20 years) rates. Files associated with the long-term and short-term rates are appended with "LT" and "ST", respectively. A proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (e.g. High Water Line (HWL) shoreline) and a datum shoreline (e.g. MHW shoreline) is also included in this release.

Tags: accretion, atlantic-coast, baseline, coastal-processes, digital-shoreline-analysis-system, dsas, environment, erosion, geoscientificinformation, geospatial-datasets, long-term-change, mid-atlantic, north-america, oceans, shoreline, shoreline-accretion, shoreline-change, short-term-change, u-s-geological-survey, united-states, usgs, usgs-641c681fd34e807d39b643b9, virginia, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Baseline for the Virginia coastal region, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1

The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change.
This data release includes a compilation of previously published historical shoreline positions for Virginia spanning 148 years (1849-1997), and two new mean high water (MHW) shorelines extracted from lidar data collected in 2010 and 2017. These data provide a standardized shoreline database for the state. This release includes both long-term (up to 168 years) and short term (~20 years) rates. Files associated with the long-term and short-term rates are appended with "LT" and "ST", respectively. A proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (e.g. High Water Line (HWL) shoreline) and a datum shoreline (e.g. MHW shoreline) is also included in this release.

Tags: atlantic-coast, baseline, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, mid-atlantic, north-america, oceans, shoreline, shoreline-change, u-s-geological-survey, united-states, usgs, usgs-641c63e4d34e807d39b63fc6, virginia, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Long-term shoreline change rates for the Virginia coastal region, calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1

The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. 
This data release includes a compilation of previously published historical shoreline positions for Virginia spanning 148 years (1849-1997), and two new mean high water (MHW) shorelines extracted from lidar data collected in 2010 and 2017. These data provide a standardized shoreline database for the state. This release includes both long-term (up to 168 years) and short term (~20 years) rates. Files associated with the long-term and short-term rates are appended with "LT" and "ST", respectively. A proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (e.g. High Water Line (HWL) shoreline) and a datum shoreline (e.g. MHW shoreline) is also included in this release.

Tags: accretion, atlantic-coast, baseline, coastal-processes, digital-shoreline-analysis-system, dsas, environment, erosion, geoscientificinformation, geospatial-datasets, long-term-change, mid-atlantic, north-america, oceans, shoreline, shoreline-accretion, shoreline-change, short-term-change, u-s-geological-survey, united-states, usgs, usgs-641c6393d34e807d39b63fc4, virginia, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
A GIS compilation of vector shorelines for the Virginia coastal region from the 1840s to 2010s

The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change.
This data release includes a compilation of previously published historical shoreline positions for Virginia spanning 148 years (1849-1997), and two new mean high water (MHW) shorelines extracted from lidar data collected in 2010 and 2017. These data provide a standardized shoreline database for the state. This release includes both long-term (up to 168 years) and short term (~20 years) rates. Files associated with the long-term and short-term rates are appended with "LT" and "ST", respectively. A proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (e.g. High Water Line (HWL) shoreline) and a datum shoreline (e.g. MHW shoreline) is also included in this release.

Tags: atlantic-coast, baseline, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, high-water-line, historical-shorelines, hwl, mean-high-water, mhw, oceans, shoreline, shoreline-change, u-s-geological-survey, united-states, usgs, usgs-641c6304d34e807d39b63fc0, virginia, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Elevation and mangrove cover projections under sea-level rise scenarios at J.N. Ding Darling National Wildlife Refuge, Sanibel Island, Florida, 2020-2100

Elevation projections from the WARMER-Mangroves model for J N. "Ding" Darling National Wildlife Refuge across a range of sea-level rise scenarios (53, 115, and 183 cm by 2100). The model was calibrated using dated soil cores sampled from the basin hydrologic zone.

Tags: effects-of-climate-change, elevation, florida, modeling, sea-level-change, southern-florida, usgs-641b67a5d34e4c337f0c3663
Organization: Department of the Interior
Data for Per- and Polyfluoroalkyl Substances (PFAS) in groundwater samples collected by the California Groundwater Ambient Monitoring and Assessment Priority Basin Project, 2019-2023

The California Groundwater Ambient Monitoring and Assessment Program Priority Basin Project (GAMA-PBP) analyzed for per-and polyfluoroalkyl substances (PFAS) in groundwater samples collected from domestic and public drinking water supply wells in California. GAMA-PBP is a cooperative program between the U.S. Geological Survey and the California State Water Resources Control Board. 
This data release contains data for samples collected from May 2019 through December 2022 and includes revisions 
to earlier data (Kent, 2021) that were either screened or removed after analysis of quality-control data. Please see the quality-control and other 
descriptions of the data in the processing steps in the xml file. Subsequent updates will include data for samples collected after 
December 2022. Data are also publicly available for download from Jurgens and others (2018).
The dataset consists of 4 tables. 
Table 1 lists the names and abbreviations of the twenty-eight PFAS constituents analyzed. 
Table 2 contains information about each site visited, including location and well depth information. 
Table 3 contains results for each PFAS constituent analyzed and includes quality-control sample results where applicable. 
Table 4 contains a list of every sample collected at each site and has a summary of all the PFAS detections for each sample.
This data release supercedes previous PFAS data release versions reported by Kent (2021).
Version 2.0 of the previous data release (Kent, 2021) contained data for samples collected from May 2019 through June 2021. Data from
Kent (2021) is available upon request from the authors of this data release.
References:
Kent, R.H., 2021, Data sets for: Sampling for Per-and Polyfluoralkly Substances (PFAS) by the GAMA Priority Basin Project (GAMA-PBP)(2019-2021) (ver. 2.0, October 2021): U.S. Geological Survey data release, https://doi.org/10.5066/P92IPRJD.
Jurgens, B.C., Jasper, M., Nguyen, D.H., and Bennett, G.L., 2018, USGS CA GAMA-PBP Groundwater Quality Results--Assessment and Trends: U.S. Geological Survey website, available at https://doi.org/10.5066/P91WJ2G1.

Tags: biota, butte-county, california, colusa-county, del-norte-county, environment, fresno-county, groundwater, humboldt-county, imperial-county, kern-county, kings-county, lassen-county, los-angeles-county, madera-county, marin-county, mariposa-county, mendocino-county, merced-county, modoc-county, monterey-county, napa-county, nevada-county, orange-county, placer-county, plumas-county, riverside-county, sacramento-county, san-bernardino-county, san-diego-county, san-joaquin-county, san-luis-obispo-county, santa-barbara-county, santa-cruz-county, shasta-county, sierra-county, siskiyou-county, solano-county, sonoma-county, stanislaus-county, tehama-county, trinity-county, tulare-county, united-states, usgs-641b44f8d34e4c337f0c31d7, ventura-county, water-quality, water-sampling, western-united-states, yolo-county, yuba-county
Organization: Department of the Interior
Data for Tritium deposition in precipitation in the United States, 1953 - 2023 (ver. 2.0, May 2023)

This data release documents three Microsoft Excel tables (and corresponding comma separated data files) that contain estimates of tritium in precipitation data for the continental United States. Versions of this data release contain additional tritium data for more recent years. The current version has tritium data through 2022.
Table 1 contains estimates of tritium in precipitation for precipitation stations located in the continental United States. Measured precipitation data are formatted in regular font while correlated data are italicized. 
Table 2 contains tritium in precipitation for ninety-six 2-degree latitude by 5-degree longitude quadrangles covering the continental U.S. Latitudes are north of the equator and longitudes are west of the prime meridian. Please see the processing steps below and the main manuscript for additional details on the results presented in this table.
Table 3 contains the correlation coefficients used to correlate tritium in precipitation data from Vienna, Austria to the station or quadrangle for dates after January 1, 1987. The coefficient of determination, also known as the R-squared values is listed for each month. Copies of each table also are provided in comma separated formats.
Version 1 of this data release (published 7/31/2018) contained estimates of tritium in precipitation for the period 1953-2012. This new version appends estimates for the period from 2013 to 2023.

Tags: groundwater, groundwater-age, precipitation, tracers, tritium, usgs-641b2a9bd34e4c337f0c246a, water-quality
Organization: Department of the Interior
MODFLOW6 models used to evaluate potential stresses and hydrologic conditions driving water-level fluctuations in well ER-5-3-2, Frenchman Flat, Southern Nevada

The hydrograph for well ER-5-3-2 in Frenchman Flat, southern Nevada, has previously unexplained water-level fluctuations. Four, three-dimensional, groundwater models (MODFLOW 6) were developed to evaluate potential stresses and hydrologic conditions affecting the well ER-5-3-2 hydrograph. Four model scenarios were developed that simulated: (1) wellbore leakage without recharge, (2) wellbore leakage with recharge, (3) shallow (low transmissivity) and deep (high transmissivity) carbonate rocks, and (4) lateral heterogeneity of carbonate rocks. Input and output files for the four model scenarios are in the model and output directories, respectively. Hydraulic conductivity, specific storage, and wellbore-leakage rates (when simulated) were estimated with parameter estimation (PEST) by minimizing a weighted composite, sum-of-squares objective function. The objective function was informed by measurement and Tikhonov regularization observations. Measurement observations included drawdowns from the constant-rate aquifer test and water-level altitudes measured in well ER-5-3-2 from 2001-2021. Tikhonov regularization informed hydraulic conductivity and specific storage parameters that were insensitive to measurement observations, where homogeneity was the preferred relation. Batch files, executables, and MODFLOW 6, PEST, and post-processing utilities are in the ancillary directory. Supplementary data also are included in the ancillary directory, including site information, high-frequency water-level and aquifer-test data, transmissivity estimates, water-chemistry data, and water-temperature analyses. This USGS data release contains data, analyses, and model files for the simulations and analysis results described in U.S. Geological Survey Scientific Investigations Report (https://doi.org/10.3133/sir20225132).

Tags: borehole-leakage, clark-county, environment, frenchman-flat, geoscientificinformation, groundwater, groundwater-model, inlandwaters, lincoln-county, modflow, modflow-6, nevada, nevada-test-site, nye-county, pest, usgs-641a1b51d34eb496d1d2a1fd, usgsgroundwatermodel, yucca-flat
Organization: Department of the Interior
Bathymetry and Velocity Data from Surveys at Highway Bridges crossing the Missouri and Mississippi Rivers on the Periphery of Missouri, June 13–22, 2022

These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in comma-delimited table format, generated from hydrographic and velocimetric surveys near highway bridge structures over the Missouri and Mississippi Rivers on the periphery of Missouri, June 13-22, 2021. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and the horizontal and vertical position and attitude data of the vessel from the INS in real time. Data processing required specialized computer software to extract bathymetry data from the raw data files and to summarize and map the information.
Velocity data for the surveys were collected using an acoustic Doppler current profiler (ADCP) mounted on a survey vessel equipped with a differential global positioning system (DGPS). Data were collected as the vessel traversed the river along seven planned transect lines distributed throughout the reach. Velocity data were processed using the Velocity Mapping Toolbox (Parsons and others, 2013), and smoothed using neighboring nodes.
There is a zip file for each of the 6 surveyed sites available for download containing the bathymetric data and depth-averaged velocities. The files follow the format of "site-##_##River_HWY#_2022-06.zip", where "site-##" is the site number (ranges from 01 to 38), "##River" is either the Missouri or Mississippi River (as appropriate), and "HWY#" is the highway type and route number. The zip files each contain two comma-delimited text files, one with the bathymetry and uncertainty data and one with the depth-averaged velocity data, as well as associated metadata and thumbnail images.
Reference cited:
Parsons, D.R., Jackson, P.R., Czuba, J.A., Engel, F.L., Rhoads, B.L., Oberg, K.A., Best, J.L., Mueller, D.S., Johnson, K.K., and Riley, J.D., 2013, Velocity Mapping Toolbox (VMT) A process and visualization suite for moving-vessel ADCP measurements: Earth Surface Processes and Landforms, v. 38, no. 11, p. 1244-1260. [Also available at https://doi.org/10.1002/esp.3367.]

Tags: acoustic, adcp, bathymetry, brownville, cape-girardeau, caruthersville, chester, doppler, elevation, geology, geoscientificinformation, hannibal, illinois, imagerybasemapsearthcover, inland-waters, inlandwaters, kansas, location, mississippi-river, missouri, missouri-river, multibeam, nebraska, point-cloud, saint-joseph, structure, tennessee, u-s-geological-survey, usa, usgs, usgs-641a0fb6d34eb496d1d2a1b7, velocity, water-depth, xyz
Organization: Department of the Interior