AndreaBozzo/ceres-open-data-index huggingface dataset:
Structure Contour of the Top of the Lower Miocene 2 Sequence, Gulf Coast

The structure contours were created using biostratigraphic data in the Paleo-Data, Inc., Tenroc Regional Geologic Database.  The depths of the microfossil locations were associated with the wells data provided by the Louisiana Department of Natural Resources.  Because of the proprietary nature of the Tenroc database, no actual data can be shown and only those data points contained in the Louisiana State wells database are included in the control points layer.  Contouring was accomplished in Dynamic Graphics, Inc., EarthVision modeling software (v.5) using minimum tension gridding.  Three custom programs were used to convert contour lines generated from grids in EarthVision to Arc/Info coverages and then to shapefiles.  The data are provided as both lines and polygons (lm2toplg.shp and lm2toppg.shp), and the public wells that penetrate the top of the Lower Miocene 2 (LM2) sequence are provided in a point shapefile (lm2topptg.shp).
These datasets contain basic data and interpretations developed and compiled by the U.S. Geological Survey's Framework Studies and Assessment of the Gulf Coast Project.  Other major sources of data include publicly available information from state agencies as well as publications of the U.S. Geological Survey and other scientific organizations.  In cases where company proprietary data were used to produce various derivatives such as contour surfaces, the source is cited but the data are not displayed.

Tags: coal, coalbed-methane, coalbed-methane-resources, contours, earth-science, economic-geology, economy, energy-resources, geology, geoscientificinformation, gulf-coast, gulf-coast-framework-studies, gulf-of-mexico-coast, gulfcoastframework, gulfroom, la, louisiana, miocene, natural-gas, natural-gas-resources, natural-resources, oil, oil-sand-resources, oilgas, petroleum, resource-assessment, surface, tertiary-systems, u-s-geological-survey, united-states, usgs, usgs-60c8e600d34e86b9389dcf26
Organization: Department of the Interior
Water withdrawal and consumption estimates for thermoelectric power plants in the United States, 2015 (ver. 1.1, February 2021)

This dataset presents water withdrawal estimates, consumption estimates, and associated information for 1,122 water-using, utility-scale thermoelectric power plants in the United States for 2015. The U.S. Geological Survey (USGS) developed models to estimate thermoelectric water use based on linked heat-and-water budgets, including thermodynamically plausible ranges of minimum and maximum withdrawal and consumption, to provide a consistent method for water-use estimation across the fleet of U.S. thermoelectric plants.  Historically, thermoelectric water withdrawal and consumption has been estimated by the Department of Energy's Energy Information Administration (EIA) based on surveys of plant operator-reported data, and the USGS's 5-year water-use reports based on compiling data from State water agencies, plant operators, and the EIA. The USGS models provide independent estimates from plant operator-reported data. The total estimated withdrawal for 2015 was about 103 billion gallons per day (Bgal/d), and total estimated consumption was about 2.7 Bgal/d.  This data release supports the findings published in Harris and Diehl (2019).

Tags: groundwater, hydrology, power-generation-water-use, surface-water, thermoelectric-power-generation-water-use, usgs-5f63be9a82ce38aaa23b0739, water-availability, water-budget, water-consumptive-use, water-energy-nexus, water-supply-and-demand, water-use, water-withdrawal
Organization: Department of the Interior
Shapefile of Areal Reduction Factor (ARF) regions for the state of Florida (ARF_regions.shp)

The Florida Flood Hub for Applied Research and Innovation and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future to historical extreme-precipitation depths fitted to extreme-precipitation data from downscaled climate datasets using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093. The change factors correspond to the periods 2020-59 (centered in the year 2040) and 2050-89 (centered in the year 2070) as compared to the 1966-2005 historical period. 
An areal reduction factor (ARF) is computed to convert rainfall statistics of a point, such as at a weather station, to an area, such as a watershed or model grid cell.  Regions considered for the development of change factors as part of this study study are taken from NOAA National Center for Environmental Information (NCEI) U.S. Climate Divisions for the state of Florida with some modifications in south Florida.  Geospatial data provided in an ArcGIS shapefile are described herein. Areal reduction factors (ARF) and their standard deviation have been calculated for each region. For each model grid cell closest to each NOAA Atlas 14 station, return levels for extreme precipitation depth are adjusted from the area-scale to the station-scale by dividing by the areal reduction factor (ARF) for the ARF region where the station is located. See Areal_reduction_factors.xlsx and Table 1 of Datasets_station_information.xlsx for the ARF data by ARF region, event duration, and model grid-cell area.

Tags: arf, boundaries, climate-divisions, florida, florida-flood-hub-for-applied-research-and-innovation, usgs-64a2e831d34ef77fcb056ba6
Organization: Department of the Interior
Oxide and Cation Compositions of Feldspar Grains from Drill Core of the Duluth Complex, Minnesota

The table contains oxide and cation compositions of feldspar grains from drill core of the Duluth Complex. The oxides were determined by electron probe microanalysis (EPMA) and are are reported in weight percent (wt%). The cations were then calculated and are reported in mole percent (mol%). Feldspar grains are a group of rock-forming tectosilicate minerals with potassium (K), sodium (Na), and calcium (Ca) endmembers. Anorthite has a chemical formula CaAlSi3O8; albite has the formula NaAlSi3O8; and orthoclase has the chemical formula KAlSi3O8. To better understand the composition of the measured feldspars, we calculated the anorthite content (An%) as (Ca/(Ca+Na+K)) x 100 and report the values in mol%. Albite (Ab%) was calculated as (Na/(Ca+Na+K))x100, and orthoclase (Or%) as (K/(Ca+Na+K)) x 100.

Tags: cook-county, duluth, electron-microscopy, lake-county, mineralogy, minnesota, st-louis-county, usgs-59dcd1a3e4b05fe04ccbd549
Organization: Department of the Interior
Geospatial data and model archive associated with the two-dimensional hydraulic analysis of Joachim Creek, De Soto, Missouri

Digital flood-inundation maps for a 6.7-mile reach of Joachim Creek within and near the City of De Soto, Missouri, were created by the U.S. Geological Survey (USGS) in cooperation with the City of De Soto, Missouri. The flood-inundation maps depict estimates of the spatial extent, depth, and velocity corresponding to select flood events.
Flood elevations were computed for Joachim Creek by means of a two-dimensional, finite-volume numerical model for river hydraulics. The hydraulic model was calibrated by using global positioning system measurements of water-surface elevations of high-water marks from the April 18, 2013 flood and the maximum measured discharge at the USGS streamgage Joachim Creek at De Soto, Missouri (station number 07019500). The calibrated hydraulic model was then used to compute the hydraulic conditions associated with the 10-, 4-, 2-, 1-, and 0.2-annual exceedance probability (AEP) flows  (10-year, 25-year, 50-year, 100-year and 500-year recurrence interval). The water-surface elevation, velocity, and water depth maps associated with the 1- and 0.2-percent AEP flood events are available in GeoTIFF format. The hydraulic model is available as a model archive.

Tags: desoto, geospatial-analysis, joachim-creek, missouri, usgs-5fc96c05d34e4b9faad8a5f9
Organization: Department of the Interior
Unprocessed aerial imagery from 3 September 2020 coastal survey of Oregon and Washington.

This is a set of 2158 oblique aerial photogrammetric images and their derivatives, collected from NW WA to Seaside OR with a fixed-lens digital camera from a crewed light aircraft, for processing using structure-from-motion photogrammetry and machine learning to study coastal geomorphic processes at high temporal and spatial resolution. JPG files in each folder follow the following naming convention: {CAM###}_{YYYYMMDDHHMMSS_ss}.jpg, where {CAM###} is the last 3 digits of the camera serial number, preceded by the letters "cam", and where {YYYYMMDDHHMMSS_ss} is the image acquisition time in {YearMonthDayHourMinuteSecond_hundredths} expressed in 24-hour time, as recorded by the camera's internal clock and written to the SubSecondDateTime field in the image EXIF data (for example CAM001_202009182311_50 would be the timestamp for an image with a SubSecondDateTime EXIF time/date stamp of September 18th, 2020 at 11:11.50 pm.

Tags: aerial-and-satellite-photography, aerial-photography, agents-of-coastal-change, anthropogenic-agents-of-coastal-change, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-development, coastal-ecosystems, coastal-erosion, coastal-landslides, coastal-processes, datasets, distributions, earth-sciences, ecology, environment, geography, geologic-processes, geology, geoscientificinformation, geospatial-datasets, habitat, image-analysis, image-collections, imagerybasemapsearthcover, infrastructure, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, remote-sensing, slope-processes, structures, u-s-geological-survey, united-states, united-states-and-territories, usgs, usgs-1d1ee1c4-6171-47bd-80ba-9b4e5fdb8a10, visible-light-imaging
Organization: Department of the Interior
usSEABED PaRSed data for the New York-New Jersey Region (NYNJ_PRS)

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 parsed (PRS) output of the dbSEABED mining software. It contains the results of parsing descriptions in the data resources. The PRS data is less precise because it comes from word-based descriptions, but will include information on outsized elements, consolidation that are not usually in EXT data.

Tags: analyses, atlantic-coast, atlantic-ocean, benthic-habitats-pacific-project, biogenic-sediments, cmgp, coastal-and-marine-geology-program, dbseabed, descriptions, east-coast, geology, geoscientificinformation, geospatial-datasets, grain-size, instaar, institute-of-arctic-and-alpine-research, location, marine-aggregates-resources-and-processes, marine-sediments, new-jersey, new-york, new-york-bight, oceans, pacific-science-center, psc, sea-floor-characteristics, seabed, seafloor, sediment-chemistry, sediment-composition, sediment-data, sediment-textures, sedimentation, terrigenous-sediments, texture, u-s-geological-survey, united-states, university-of-colorado, usgs, usgs-f82fd249-bbc0-4dd0-a6c1-20567927efb9, usseabed, whsc, woods-hole-science-center
Organization: Department of the Interior
Imputedsalt_MissS

The dataset entitled “imputedsalt_MissS” holds data structures to be relayed to statistical modeling of salinity in near-coastal environments of the Northern Gulf of Mexico. The content therein is created by the ‘covardr2formodel.R’ script that represents terminal decisions on variable setup and transformations). The design ideal is that the content of this directory would be copied to some path of “input” within a model building repository. The table in this directory would be especially suitable for both (1) formal data releases supporting as needed interpretive publications and (2) simultaneous long-term storage as copies within a model building repository in some specific terminal decisions (variable transforms or even dropping of whole data classes by switches in ‘covardr2formodel.R) are reflected in these data and they are a step removed as it were from the “raw” data in the ‘covardr/’ directory.

Tags: estuary, gulf-of-mexico, mississippi-sound, modeling, salinity, usgs-6471048cd34e4e58932d2ab5
Organization: Department of the Interior
Geochemical and spectroscopic data on core samples from Lake Tanganyika in Tanzania

This data release contains geochemical and spectroscopic laboratory results associated with the journal article "Middle-Late Holocene paleolimnological changes in central Lake Tanganyika: Integrated evidence from the Kavala Island Ridge (Tanzania)". Data include bulk organic geochemistry, organic stable carbon isotope, and infrared spectroscopic analyses. 
Location for LT-TANG17-9B-1U-1: latitude: -5.952900, longitude: 29.639700. Coring site is located ~ 14 km offshore in ~ 420 m of water.

Tags: east-african-rift, geoscientificinformation, isotopes, lake-tanganyika, sediment-geochemistry, tanzania, usgs-65ae8f54d34ef34c3506d568
Organization: Department of the Interior
Dreissenid mussel eDNA results for streamgage water samples in the Columbia and Colorado River basin

Environmental DNA results for water samples collected at USGS streamgages in the Columbia and Colorado river basins. Water samples were collected by USGS hydrologic technicians May - September 2018 and analyzed for presence of dreissenid mussel DNA. In this dataset, we report quantitative PCR results for each streamgage locations.

Tags: aquatic-biology, biota, ecology, environmental-dna, invasive-species, pacific-northwest, snake-river, stream-gage-measurement, usgs-5c9c1738e4b0b8a7f62c3617
Organization: Department of the Interior
Hanna and Carbon Basin boundaries, Wyoming, 1999 National Coal Resource Assessment (hcbbndg)

This ArcView shapefile contains a polygon representation
of the Hanna and Carbon Basins, Wyoming.  This shapefile
was created as part of the  National Coal resource
Assessment in the Northern Rocky Mountains and Great
Plains Region.

Tags: basins, carbon-basin, carbon-county, coal, coal-basins, economy, environment, geoscientificinformation, hanna-basin, hannabasincoal, national-coal-resource-assessment, nca2000, ncra-assessment-area, northern-rocky-mountain-and-great-plains-fort-union-coal-resources-assessment-area, northern-rocky-mountains-and-great-plains-region, nrockiescoal, usgs-60ac00d7d34ea221ce51f9fc, wyoming
Organization: Department of the Interior
Aboveground Net Primary Production Estimates from the Yukon Flats National Wildlife Refuge

This dataset is a single comma-delimited text file (.csv). Data include the name of lakes where samples were obtained, the historical dynamics of that lake, the sampled community type, and the dry mass of annual new growth. Shrub community measurements are a combination of understory mass from quadrat harvests and shrub stem mass derived from published allometric equations.

Tags: alaska, biogeochemical-cycles, biomass, biomass-dynamics, biota, community-ecology, community-structure, environment, lake-drying, landscape-ecology, plants, primary-production, soil-carbon-storage, succession-biological, terrestrial-ecosystems, usgs-62181c8cd34ec739b2dd28f6, vegetation-cover, wetland-ecosystems, yukon-flats, yukon-flats-national-wildlife-refuge
Organization: Department of the Interior
Shapefile of the Single-beam Bathymetry Tracklines Surveyed in July 2015 from Point Au Fer to Raccoon Pint, Louisiana

As part of the Barrier Island Comprehensive Monitoring Program (BICM), scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted a nearshore single-beam bathymetry survey along the south-central coast of Louisiana, from Raccoon Point to Point Au Fer Island, in July 2015. The goal of the BICM program is to provide long-term data on Louisiana’s coastline and use this data to plan, design, evaluate, and maintain current and future barrier island restoration projects. The data described in this report will provide baseline bathymetric information for future research investigating island evolution, sediment transport, and recent and long term geomorphic change, and will support modeling of future changes in response to restoration and storm impacts. The survey area encompasses more than 300 square kilometers (km2) of nearshore environment from Raccoon Point to Point Au Fer Island. This data series serves as an archive of processed single-beam bathymetry data, collected from July 22–29, 2015, under USGS Field Activity Number 2015-320-FA. Geographic information system data products include a 200-meter-cell-size interpolated bathymetry grid, trackline maps, and point data files.

Tags: 15bim05, 15bim06, 15bim07, 15bim08, 2015-320-fa, atchafalaya-bay, atchafalaya-river, barrier-island-comprehensive-monitoring-program, barrier-island-mapping, bathymetry, cmgp, coastal-and-marine-geology-program, datum, geophysical, geophysics, geoscientificinformation, gulf-of-mexico, hydrography, hypack, imagerybasemapsearthcover, location, louisiana, marine-geology, oceans, point-au-fer, raccoon-point, shoreline, single-beam, spcmsc, st-petersburg-coastal-and-marine-science-center, tracklines, u-s-geological-survey, usgs, usgs-09aab08c-c08f-44ef-8404-de00d54a6593, water
Organization: Department of the Interior
Annual California Sea Otter Census: 2019 Range Extent Shapefile

The GIS shapefile Range extent of southern sea otters 2019.shp is a simple polyline representing the geographic distribution of the southern sea otter (Enhydra lutris nereis) in mainland California, based on data collected during the spring 2019 range-wide census. The USGS range-wide sea otter census has been undertaken each year since 1982, using consistent methodology involving both ground-based and aerial-based counts. The spring provides the primary basis for gauging population trends by State and Federal management agencies. Sea otter distribution in California (the mainland range) is considered to comprise a band of potential habitat stretching along the coast of California, and bounded to the north and south by range limits defined by combining independent otters within a moving window of 10-kilometer stretches of coastline (as measured along the 10-meter bathymetric contour; 20 contiguous ATOS intervals each) and taking the northern and southern ATOS values, respectively, of the northernmost and southernmost stretches in which at least five otters were counted for at least 2 consecutive spring surveys during the last 3 years.

Tags: aerial-counts, biogeography, biota, california, central-california-coastal, distribution, environment, mammals, ocean, range, sea-otter-census, sea-otters, shore-counts, southern-california-coastal, usgs-5d85427ce4b0c4f70d086f23
Organization: Department of the Interior
Data for Occurrence and Sources of Lead in Private Wells, Sturbridge, Massachusetts

Lead (Pb) occurrence and sources and aqueous geochemistry were assessed in private wellhead and tap water at a targeted area of concern for possible exceedances and at a control area in the same geologic formation, and in wells at a nearby landfill in south-central Massachusetts (MA). Total Pb concentrations were below the U.S. Environmental Protection Agency (USEPA) Action Level of 15 μg/L in all samples, and about 6% of unfiltered samples contained Pb concentrations that exceeded 1.0 μg/L. Pb concentrations were higher under conditions that are acidic and oxic (pH ≤ 6.5 and dissolved oxygen [DO] ≥ 2 mg/L), in which minerals that could sequester lead or manganese typically are undersaturated, and adsorption by hydrous ferric oxide is limited. Under more neutral to alkaline conditions, the precipitation of Pb in solid solution series minerals such as (Ca,Pb)CO3 and (Ba,Pb)SO4 2, and adsorption by amorphous ferric hydroxides, could limit Pb solubility in the bedrock aquifer or in the plumbing. The low Pb concentrations and the absence of distinctive Pb and strontium (Sr) isotope ratio patterns in samples indicate that a nearby landfill is not likely a significant Pb source. Dissolved concentrations of Pb, copper (Cu), and zinc (Zn) in tap samples were significantly greater than those in wellhead samples, indicating that some Pb is derived from plumbing. Wellhead or tap samples with the highest Pb concentrations also had the greatest corrosivity potential based on the calcite saturation index and the PPGC (Potential to Promote Galvanic Corrosion) and supports the premise that Pb concentrations in tap samples were derived partly from corrosion of plumbing. Concentrations of other constituents, including arsenic (As), uranium (U), Sr, boron (B), and lithium (Li) were not statistically different between the tap and wellhead samples but, apart from Sr, all were statistically higher in the control area than in the target area. This variation in constituent concentrations suggests geochemical variation within the host Paxton Formation, possibly related to faulting and contact with the Ayer granite east of the control area.

Tags: charlton-massachusetts, corrosivity, drinking-water, dudley-massachusetts, geochemical-modeling, isotopes, lead, private-wells, sturbridge-massachusetts, usgs-60b6a011d34e86b9388487bc, worchester-county-massachusetts
Organization: Department of the Interior
Chalk Cliffs Channel Surveys derived from Structure-from-Motion

This data release contains two point clouds derived from structure-from-motion photogrammetry.  The first survey was conducted on 10 September 2015 and the second survey was conducted on 1 June 2016.  Each survey was designed to capture a 35-meter channel reach using digital photos (1187 photos were taken in the first survey and 1085 photos were taken in the second survey).  Twenty-five bolts were drilled into the bedrock channel to serve as ground control points. Agisoft photoscan was used to construct point clouds from the digital photos, and then sub-sampled the point clouds to a 1 cm spacing.  The two subsampled point clouds are provided here in a las format.

Tags: earth-science, geologic-hazards-science-center, ghsc, landslide-hazard, landslide-hazards-program, lhp, structure-from-motion-photogrammetry, usgs, usgs-5a0b2426e4b09af898cb6efa
Organization: Department of the Interior