AndreaBozzo/ceres-open-data-index huggingface dataset:
Raster Dataset Model of Oil Shale Resources in the Piceance Basin, Colorado

ESRI GRID raster datasets were created to display and quantify oil shale resources for seventeen zones in the Piceance Basin, Colorado as part of a 2009 National Oil Shale Assessment. The oil shale zones in descending order are: Bed 44, A Groove, Mahogany Zone, B Groove, R-6, L-5, R-5, L-4, R-4, L-3, R-3, L-2, R-2, L-1, R-1, L-0, and R-0. Each raster cell represents a one-acre square of the land surface and contains values for either oil yield in barrels per acre, gallons per ton, or isopach thickness, in feet, as defined by the grid name: *_b (barrels per acre), *_g (gallons per ton), and *_i (isopach thickness) where "*" can be replaced by the name of the oil shale zone.

Tags: co, colorado, earth-science, economic-geology, energy-resources, eocene-green-river-formation, geology, geoscientificinformation, natural-resources, oil, oil-shale, oil-shale-resources, oilshale, piceance-basin, piceanceoilshale, resource-assessment, u-s-geological-survey, united-states, usgs, usgs-60de0fa7d34e3a6dca2943fe
Organization: Department of the Interior
Raster Dataset Model of Nahcolite Resources in the Piceance Basin, Colorado

ESRI GRID raster datasets were created to display and quantify nahcolite resources for eight oil shale zones in the Piceance Basin, Colorado as part of a 2009 National Oil Shale and Nahcolite Assessment. The zones in descending order are: L-5, R-5, L-4, R-4, L-3, R-3, L-2, and R-2. Each raster cell represents a one-acre square of the land surface and contains values for nahcolite tonnage. The gridnames follow the naming convention *_n, where "*" can be replaced by the name of the oil shale zone.

Tags: co, colorado, earth-science, economic-geology, energy-resources, eocene-green-river-formation, geology, geoscientificinformation, nahcolite, nahcolite-resources, natural-resources, oil, oil-shale, oil-shale-resources, oilshale, piceance-basin, piceanceoilshale, resource-assessment, u-s-geological-survey, united-states, usgs, usgs-60de0b8dd34e3a6dca291e26
Organization: Department of the Interior
Temperature data collected from the Lower Yakima River from October 2018 to October 2020

A total of 27 temperature sensors were deployed along the lower 90 miles of the Yakima River at 7 locations where cold water had been previously observed. These 7 cold-water areas had 3 to 6 temperature sensors installed to document the extent and duration of these cold-water areas and their impacts on mainstem temperatures of the Lower Yakima River. Cold-water areas included the mouths of tributaries, alongside channels, and within alcoves. Sensor deployments ranged from 1 to 2 years beginning in October 2018.
All temperature data are included in the Yakima.temperatures.zip folder. Details of each monitoring location are provided in the site.locs.csv file. In addition to the raw data and site location information, an html file for each of the 7 cold water locations is provided so the user can visually explore the data. 
The 7 cold water areas included: Amon Creek at river mile (RM) 3.0, a side channel/tributary input located near I-182 at RM 4.7, a side channel at Fox Island near Van Giesen road at RM 8.5, A side channel in Benton CIty at RM 29, at Corral creek at RN 33.4, at Spring/Snipes creeks at RM 41.7, and in side channel and alvoce ares near Zillah, WA and RM 90.

Tags: benton-county, cold-water-areas, inlandwaters, richland-wa, usgs-60de08dcd34e3a6dca291494, washington-state, water-temperature, yakima-river
Organization: Department of the Interior
National Oil and Gas Assessment Province Boundaries through 2012

The USGS Central Region Energy Team assesses oil and gas resources of the United States. The onshore and State water areas of the United States comprise 71 provinces. Within these provinces, Total Petroleum Systems are defined and Assessment Units are defined and assessed. Each of province is defined geologically, and most province boundaries are defined by major geologic changes. This dataset is a compilation of data that has been studied and published separately, and in some cases adjacent provinces do not share a common boundary. As a consequence, there are numerous gaps and overlaps in this layer.

Tags: adirondack-uplift, albuquerque-santa-fe-rift, anadarko-basin, appalachian-basin, arkoma-basin, atlantic-coastal-plain, bend-arch-fort-worth-basin, big-horn-basin, black-warrior-basin, blue-ridge-thrust-belt, cambridge-arch-central-kansas-uplift, central-alaska, central-coastal, cherokee-platform, cincinnati-arch, denver-basin, earth-science, east-texas-basin, eastern-great-basin, eastern-oregon-washington, energy-resources, florida-peninsula, forest-city-basin, geology, geoscientificinformation, hanna-laramie-shirley-basins, idaho-snake-river-downwarp, illinois-basin, iowa-shelf, klamath-sierra-nevada, las-animas-arch, los-angeles-basin, louisiana-mississippi-salt-basins, marathon-thrust-belt, michigan-basin, montana-thrust-belt, national-oil-and-gas-assessment, natural-gas, natural-resources, nemaha-uplift, new-england, noga2000, north-central-montana, northern-alaska, northern-arizona, northern-coastal, oceans, oil, oilgas, ozark-uplift, palo-duro-basin, paradox-basin, park-basins, pedernal-uplift, permian-basin, piedmont, powder-river-basin, province-boundary, raton-basin-sierra-grande-uplift, resource-assessment, sacramento-basin, salina-basin, salton-trough, san-diego-oceanside, san-joaquin-basin, san-juan-basin, santa-maria-basin, sedgwick-basin, sedimentary-basin, sioux-arch, sonoma-livermore-basin, south-central-new-mexico, southern-alaska, southern-arizona-southwestern-new-mexico, southern-oklahoma, southwest-montana, southwestern-wyoming, superior, u-s-geological-survey, uinta-piceance-basin, united-states, usgs, usgs-60de2fe9d34e3a6dca299fb5, ventura-basin, western-great-basin, western-gulf, western-oregon-washington, williston-basin, wind-river-basin, wyoming-thrust-belt
Organization: Department of the Interior
TIN Dataset Model of the Mahogany Bed Structure in the Uinta Basin, Utah and Colorado

An ESRI TIN data model of the Mahogany bed structure was needed to perform overburden calculations in the Uinta Basin, Utah and Colorado as part of a 2009 National Oil Shale Assessment.

Tags: co, colorado, earth-science, economic-geology, energy-resources, eocene-green-river-formation, geology, geoscientificinformation, mahogany, mahogany-bed, natural-resources, oil, oil-shale, oil-shale-resources, oilshale, overburden, resource-assessment, structure, u-s-geological-survey, uinta-basin, uintaoilshale, united-states, usgs, usgs-60de03bad34e3a6dca29065b, ut, utah
Organization: Department of the Interior
TIN Dataset Model of Overburden Above the Mahogany Bed in the Uinta Basin, Utah and Colorado

An ESRI TIN data model of the overburden material above the Mahogany bed was needed to perform calculations in the Uinta Basin, Utah and Colorado as part of a 2009 National Oil Shale Assessment.

Tags: co, colorado, earth-science, economic-geology, energy-resources, eocene-green-river-formation, geology, geoscientificinformation, mahogany, mahogany-bed, natural-resources, oil, oil-shale, oil-shale-resources, oilshale, overburden, resource-assessment, structure, u-s-geological-survey, uinta-basin, uintaoilshale, united-states, usgs, usgs-60ddf247d34e3a6dca28950b, ut, utah
Organization: Department of the Interior
Interpolation statistics for the Cortland sourcewater study area in upstate New York

This dataset includes spreadsheets with statistical data (mean and median absolute error) used in deciding which interpolation method best fit the corresponding dataset.  All statistical data were paired with a visual inspection of the interpolation prior to determining the final raster product. All spreadsheets were generated using an automated Python script (Jahn, 2020).

Tags: aquifer-mapping, bedrock-mapping, cortland, cortland-county, glacial-geology, new-york, sourcewater, statistics, usgs-60ddc85ad34e3a6dca27ffeb, valley-fill
Organization: Department of the Interior
GRID Raster Dataset Model of Oil Shale Resources in the Green River and Washakie Basins, southwestern Wyoming

ESRI GRID raster datasets were created to display and quantify oil shale resources for three zones in the Green River and Washakie Basins, southwestern Wyoming as part of a National Oil Shale Assessment. The oil shale zones in descending order are: LaClede Bed of the Laney Member of the Eocene Green River Formation, Wilkins Peak Member of the Eocene Green River Formation , and the Tipton Member of the Eocene Green River Formation. Each raster cell represents a one-acre square of the land surface and contains values for either oil yield in barrels per acre, gallons per ton, or isopach thickness, in feet, as defined by the grid name: *_b (barrels per acre), *_g (gallons per ton), and *_i (isopach thickness) where "*" can be replaced by the name of the oil shale zone.

Tags: earth-science, economic-geology, energy-resources, eocene-green-river-formation, geology, geoscientificinformation, green-river-basin, greenriveroilshale, natural-resources, oil, oil-shale, oil-shale-resources, oilshale, resource-assessment, u-s-geological-survey, united-states, usgs, usgs-60dcedf4d34e3a6dca233559, washakie-basin, wy, wyoming
Organization: Department of the Interior
Data for methane gas ebullition dynamics from different wetland vegetation communities in Big Cypress National Preserve (Florida) evaluated using a multi-method, multi-scale approach

This dataset consists of methane flux data collected with eddy covariance methods; and methane ebullition data collected with gas traps, time-lapse cameras, and capacitance probe measurements. Inferred bubble production and soil volumetric gas content data from capacitance probe measurements also are included. These data were collected from July to November 2016 at two forested wetlands in Big Cypress National Preserve, Florida. Gas trap, time-lapse camera, and capacitance probe data were collected at platforms located within the source area of each eddy covariance tower in forested wetlands. Each platform consisted of an array of gas traps, one time-lapse camera, and one capacitance probe. The location (geographic coordinates, in degrees-minutes-seconds) of the platforms for data collection were - Site 1a (25°49' 20.16" N, 81° 6' 6.45" W); Site 1b (25°49' 20.70" N, 81° 6' 19.88" W); Site 2a (25°45' 42.70" N, 80° 53' 36.23" W); Site 2b (25° 45' 42.91" N, 80° 53' 39.52" W).

Tags: carbon-cycling, ebullition, eddy-covariance, methane, soils, usgs-60dce2ead34e3a6dca231582, wetlands
Organization: Department of the Interior
Evapotranspiration within Blue Cypress Marsh, Indian River County, Florida, 2018 to 2020

The dataset includes a table in comma delimited format of daily evapotranspiration (ET) from 6/14/2018 to 12/31/2020 from an ET station within the Blue Cypress Marsh Conservation Area, within Indian River County, Florida. Evapotranspiration was estimated using eddy-covariance methods and missing records were gap-filled with a version of the Turc equation (Trajkovic and Kolakovic, 2009) that was regressed against observed values of eddy-covariance ET. The Turc equation performed exceptionally well (r-squared value of 0.94) for reproducing observed daily ET rates. Daily ET values estimated with the Turc equation are identified by a column with a "T" value indicator.  Data processing methods were similar to methods outlined by Shoemaker and others (2011). Ancillary data includes net radiation, relative humidity, air temperature, soil temperature, land surface temperature, water depth above land surface (+) or depth to water below land surface (-).  The site location is 27°41'46",  -80°42'43".  Released data include evapotranspiration (ET, in millimeters per day), net radiation (Rn, in watts per square meter), minimum and maximum daily relative humidity and air temperature (RH_max, RH_min in percent; AT_max, AT_min in degrees Celsius), mean daily air temperature (AT_average, in degrees Celsius), water distance above (+) and below (-) land surface (WD, in meters), land surface temperature (Tls, in degrees Celsius), soil temperature (Ts, in degrees Celsius), and evapotranspiration (ET, in millimeters per day). These data provide updates to prior releases of evapotranspiration data from this station extending back to June 1, 1995.

Tags: blue-cypress-marsh-conservation-area, eddy-covariance-method, evapotranspiration, florida, hydrology, net-radiation, usa, usgs-60dcd13ed34e3a6dca22e4d2, weather, wetlands
Organization: Department of the Interior
Riverine Sand Mining/Scofield Island Restoration (BA-40): 2018 habitat classification, detailed habitat classes

The Barrier Island Comprehensive Monitoring (BICM) program was developed by Louisiana’s Coastal Protection and Restoration Authority (CPRA) and is implemented as a component of the System Wide Assessment and Monitoring Program (SWAMP). The program uses both historical data and contemporary data collections to assess and monitor changes in the aerial and subaqueous extent of islands, habitat types, sediment texture and geotechnical properties, environmental processes, and vegetation composition. Examples of BICM datasets include still and video aerial photography for documenting shoreline changes, shoreline positions, habitat mapping, land change analyses, light detection and ranging (lidar) surveys for topographic elevations, single-beam and swath bathymetry, and sediment grab samples. For more information about the BICM program, see Kindinger and others (2013).
The U.S. Geological Survey, Wetland and Aquatic Research Center provides support to the BICM program through the development of habitat map products using aerial imagery and lidar elevation data and assessing change in habitats over time. These data provide a snapshot of barrier island habitats and can be combined with other past and/or future maps to monitor these valuable natural resources over time. 
CPRA conducts restoration and monitoring activities on barrier islands in Louisiana. The BICM habitat classification scheme and methodology are used for Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) restoration projects that fall on barrier islands.
This product is a detailed habitat map for the Riverine Sand Mining/Scofield Island Restoration (BA-40) CWPPRA project area. This product also includes recommended symbology for BICM detailed habitat classes with and without outlines. Please see the Entity and Attribute Information section in this metadata file for the BICM barrier island habitat and habitat descriptions and the Processing Steps section for information on methodology for map development. For more information about recent BICM habitat mapping, see Enwright and others (2020).

Tags: barrier-islands, barrier-vegetation, beach, coastal-wetlands, dune, elevation, environment, geoscientificinformation, gulf-of-mexico, habitat-map, louisiana, mangrove, marsh, plaquemines, remote-sensing, scrub-shrub, usgs-60afb6c6d34e4043c85648b4
Organization: Department of the Interior
Lake, stream, meteorology, and atmospheric deposition data

In this data release, we provide data to describe the water quality in Green Lake, Wisconsin, from 1905 to 2020, primarily the constituents for which it is impaired, including near-surface total phosphorus concentrations and metalimnetic dissolved oxygen concentrations, and quantify the water and phosphorus inputs to the lake. We also provide inputs to and outputs from the General Lake Model coupled to the Aquatic Ecodynamics modeling library (GLM-AED) hydrodynamic water-quality model to describe the factors that have caused low dissolved oxygen concentrations in the metalimnion of Green Lake; and quantify how changes in phosphorus loading should affect near-surface total phosphorus and chlorophyll-a concentrations, water clarity, and the minimum dissolved oxygen concentrations in the metalimnion the lake. This data release includes 5 zipped files in child items: (1) Met_Stream_Lake_data, which contains morphology, meteorology, atmospheric deposition, water quality data and mass balance data for the lake; (2) GLM_calibration, which contains inputs to and outputs from the GLM model for which physical parameters in the model were calibrated; (3) GLMAED_Calibration, which contains inputs to and outputs from the GLM-AED model for which physical, chemical, and biological parameters in the model were calibrated; (4) GLMAED_MOMCauses, which contains all of the data needed to run the model to determine the causes of metalimnetic oxygen minima (MOM), and the outputs from the model; and (5) GLMAED_ChangesInPhosphorusLoading, which contains all of the data needed to run the model to determine how dissolved oxygen, near surface total phosphorus, and near-surface chlorophyll-a concentrations respond to changes in phosphorus loading from the watershed, and the outputs from the model.

Tags: aquatic-biology, atmospheric-deposition, biota, chlorophyll, dissolved-oxygen, freshwater-ecosystems, glm-aed-model, green-lake, green-lake-county, lake, limnology, metalimnetic, meteorology, minimum, morphology, nutrients, plankton, secchi-depth, streams, surface-water-quality, temperature, total-phosphorus, usgs-60dcc0c8d34e3a6dca226285, water-quality, wisconsin
Organization: Department of the Interior
GLM-AED response to changes in phosphorus loading

In this data release, we provide data to describe the water quality in Green Lake, Wisconsin, from 1905 to 2020, primarily the constituents for which it is impaired, including near-surface total phosphorus concentrations and metalimnetic dissolved oxygen concentrations, and quantify the water and phosphorus inputs to the lake. We also provide inputs to and outputs from the General Lake Model coupled to the Aquatic Ecodynamics modeling library (GLM-AED) hydrodynamic water-quality model to describe the factors that have caused low dissolved oxygen concentrations in the metalimnion of Green Lake; and quantify how changes in phosphorus loading should affect near-surface total phosphorus and chlorophyll-a concentrations, water clarity, and the minimum dissolved oxygen concentrations in the metalimnion the lake. This data release includes 5 zipped files in child items: (1) Met_Stream_Lake_data, which contains morphology, meteorology, atmospheric deposition, water quality data and mass balance data for the lake; (2) GLM_calibration, which contains inputs to and outputs from the GLM model for which physical parameters in the model were calibrated; (3) GLMAED_Calibration, which contains inputs to and outputs from the GLM-AED model for which physical, chemical, and biological parameters in the model were calibrated; (4) GLMAED_MOMCauses, which contains all of the data needed to run the model to determine the causes of metalimnetic oxygen minima (MOM), and the outputs from the model; and (5) GLMAED_ChangesInPhosphorusLoading, which contains all of the data needed to run the model to determine how dissolved oxygen, near surface total phosphorus, and near-surface chlorophyll-a concentrations respond to changes in phosphorus loading from the watershed, and the outputs from the model.

Tags: aquatic-biology, atmospheric-deposition, biota, chlorophyll, dissolved-oxygen, freshwater-ecosystems, glm-aed-model, green-lake, green-lake-county, lake, limnology, metalimnetic, meteorology, minimum, morphology, nutrients, plankton, secchi-depth, streams, surface-water-quality, temperature, total-phosphorus, usgs-60dcbf93d34e3a6dca22580b, water-quality, wisconsin
Organization: Department of the Interior
GLM calibration inputs and outputs

In this data release, we provide data to describe the water quality in Green Lake, Wisconsin, from 1905 to 2020, primarily the constituents for which it is impaired, including near-surface total phosphorus concentrations and metalimnetic dissolved oxygen concentrations, and quantify the water and phosphorus inputs to the lake. We also provide inputs to and outputs from the General Lake Model coupled to the Aquatic Ecodynamics modeling library (GLM-AED) hydrodynamic water-quality model to describe the factors that have caused low dissolved oxygen concentrations in the metalimnion of Green Lake; and quantify how changes in phosphorus loading should affect near-surface total phosphorus and chlorophyll-a concentrations, water clarity, and the minimum dissolved oxygen concentrations in the metalimnion the lake. This data release includes 5 zipped files in child items: (1) Met_Stream_Lake_data, which contains morphology, meteorology, atmospheric deposition, water quality data and mass balance data for the lake; (2) GLM_calibration, which contains inputs to and outputs from the GLM model for which physical parameters in the model were calibrated; (3) GLMAED_Calibration, which contains inputs to and outputs from the GLM-AED model for which physical, chemical, and biological parameters in the model were calibrated; (4) GLMAED_MOMCauses, which contains all of the data needed to run the model to determine the causes of metalimnetic oxygen minima (MOM), and the outputs from the model; and (5) GLMAED_ChangesInPhosphorusLoading, which contains all of the data needed to run the model to determine how dissolved oxygen, near surface total phosphorus, and near-surface chlorophyll-a concentrations respond to changes in phosphorus loading from the watershed, and the outputs from the model.

Tags: aquatic-biology, atmospheric-deposition, biota, chlorophyll, dissolved-oxygen, freshwater-ecosystems, glm-aed-model, green-lake, green-lake-county, lake, limnology, metalimnetic, meteorology, minimum, morphology, nutrients, plankton, secchi-depth, streams, surface-water-quality, temperature, total-phosphorus, usgs-60dcbe19d34e3a6dca22493f, water-quality, wisconsin
Organization: Department of the Interior
Magnetotelluric and TEM Data from the Umatilla Indian Reservation Geothermal Resources  Assessment: Phase 2, 2020

This data set consists of 19 wideband magnetotelluric (MT) and 23 transient electromagnetic (TEM) soundings collected by the U.S. Geological Survey in June 2020 as part of the Umatilla Indian Reservation Geothermal Resources Assessment: Phase 2 project. Each MT station had 4 components, 2 orthogonal magnetic induction coils and 2 horizontal orthogonal electric dipoles.  Data were collected for an average of 18 hours on a repeating schedule of alternating sampling rates of 256 samples/second for 5 hours and 50 minutes and 4096 samples/second for 10 minutes.  The schedules were set such that each station was recording the same schedule to allow for remote reference processing.  Data were processed with a bounded-influence robust remote reference processing scheme (BIRRP v5.2.1, Chave and Thomson, 2004).  Data quality were generally poor due to episodic spikes in the electromagnetic fields likely caused by the power grid.  TEM data were collected in 100 x 100 m loops or 40 x 40 m loops along 4 profiles in areas of interest for geothermal potential.  Files included in this publication include measured electric- and magnetic-field time series for MT data, MT transfer functions, TEM soundings, and 1-D resistivity models from the TEM soundings.

Tags: apparent-resistivity, cenozoic, conductivity, confederated-tribes-of-the-umatilla-indian-reservation, electromagnetic-surveying, energy-resources-program, exploration, geologic-structure, geology-minerals-energy-and-geophysics-science-center, geophysics, geoscientificinformation, gmegsc, impedance, magnetic-field-earth, magnetotelluric-surveying, magnetotellurics, mesozoic, miocene, mt, oregon, pendleton, phase, quaternary, tectonics, time-series, tipper, umatilla-county, usgs-60dcb4c5d34e3a6dca21f73d
Organization: Department of the Interior