AndreaBozzo/ceres-open-data-index huggingface dataset:
Thermoelectric-power condenser duty estimates by month and cooling type for use to calculate water use by power plant for the 2008-2020 reanalysis period for the conterminous United States

The U.S. Geological Survey (USGS) developed models to estimate the amount of water that is withdrawn and consumed by thermoelectric power plants (Diehl and others, 2013; Diehl and Harris, 2014; Harris and Diehl, 2019). The thermoelectric water use models are based on linked heat-and-water budgets that are constrained by power plant generation and cooling system technologies, the amount of fuels consumed and electricity generated, and environmental variables. The heat-budget side of the models calculates the amount of waste heat (fuel heat that is not converted to electricity) that is removed from the steam used to drive the turbines that generate electricity and transferred to the cooling system in a thermoelectric power plant’s condenser, which is defined as the condenser duty (Diehl and others, 2013). Condenser duty is an intermediate calculation and an input to the water-budget side of the thermoelectric water use models that estimates plant-specific water withdrawal and consumption. The models provide consistent methods for water-use estimation across U.S. thermoelectric plants and estimates independent of plant operator-reported data. This dataset presents a historical reanalysis of monthly condenser duty estimates from 2008 to 2020, and associated information for 1360 water-using, utility-scale thermoelectric power plants in the conterminous United States operational within the time period.  These monthly condenser duty estimates were input to the water-budget side of the thermoelectric water-use models for the 2008-2020 historical reanalysis of water withdrawals and consumption by HUC12, month, and year for the conterminous United States (Galanter and others, 2023).

Tags: anthropogenic-impacts-on-water-resources, hydrology, thermoelectric-power-generation, usgs-63dbfac3d34e9fa19a98a10f, water-availability, water-budget, water-census, water-consumptive-use, water-energy-nexus, water-supply-and-demand, water-use, water-withdrawal
Organization: Department of the Interior
Thermal evolution of graptolite and solid bitumen properties at high maturity under natural and artificial conditions

To refine the use of graptolite and solid bitumen properties as thermal proxies at overmature conditions, we evaluated their evolution via Raman and infrared spectroscopies, reflectance, and geochemical screening in high-temperature hydrous and anhydrous experiments in comparison to naturally matured samples. Naturally matured samples included four overmature Wufeng-Longmaxi marine shales from the Sichuan Basin, China, with solid bitumen reflectance (BRo) values of 2.5-3.6% and graptolite reflectance (GRo) values of 2.3-3.9%. Immature starting materials for pyrolysis experiments included Mesoproterozoic (Ectasian) Xiamaling marine shale from Hebei, China (0.34% BRo, graptolite absent) and graptolite-bearing Ordovician (Tremadocian) Alum marine shale from Grönhögen, Sweden (0.50% BRo, 1.00% GRo). Pyrolysis experiments were carried out at 360°C for 10 days and 27 days (hydrous conditions), and 450°C 3 days, 550°C 3 days, and 550°C 10 days (all anhydrous). The experiments created Xiamaling and Alum residues with solid bitumen and graptolite, respectively, of similar and higher maturity (1.8-5.7% BRo, 1.8-5.3% GRo) compared to the naturally matured Wufeng-Longmaxi samples. Compositional proxies from infrared spectroscopy were inconclusive. Raman spectral properties including Raman band separation (RBS) and the full-width at half-maximum of the G-band (G-FWHM) exhibited robust positive and inverse relationships with increasing reflectance in pyrolysis residues, respectively. Similar to previous work, RBS and G-FWHM values were systematically lower and higher, respectively, in artificially matured samples versus naturally matured samples with equivalent reflectance values. This observation indicates the limited duration or low internal reactor pressure of pyrolysis experiments is insufficient to allow alignment of aromatic carbon arrays, or the ordering of aromatic clusters present in both organic matter types, relative to natural maturation occurring at geologic time scales. Reflectance of graptolite was usually but not always higher than co-occurring solid bitumen in all samples, suggesting inherently higher aromaticity. However, aromaticity in pyrolysis residues was systematically higher in solid bitumen compared to graptolite with equivalent reflectance values, indicating a higher kinetic barrier to molecular rearrangement in graptolite versus solid bitumen. These data further clarify differences in the molecular evolution of sedimentary organic matter in natural versus analogue laboratory environments and distinguish the properties of individual organic matter types in response to thermal stress.

Tags: alum-shale, china, ectasian-period, graptolite-reflectance, infrared-spectroscopy, mesoproterozoic-era, ordovician-period, raman-spectroscopy, sichuan, solid-bitumen-reflectance, sweden, tremadocian-stage, usgs-63dbd7c1d34e9fa19a989fd2, wufeng-longmaxi-formation, xiamaling-shale
Organization: Department of the Interior
Peak-Flow Frequency Analysis for 464 U.S. Geological Survey Streamgages in Illinois, Indiana, and Wisconsin, Based on Data Through Water Year 2017

The U.S. Geological Survey (USGS) Central Midwest Water Science Center (CMWSC) completed a report (Over and others, 2023) documenting methods for peak-flow frequency analysis in Illinois following Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected USGS streamgages. This data release presents peak-flow frequency analyses for selected streamgages in Illinois, Indiana, and Wisconsin, based on data through water year 2017 (a water year is the period from October 1 to September 30 and is designated by the year in which it ends; for example, water year 2017 was from October 1, 2016, to September 30, 2017).
References Cited:
England, J.F., Jr., Cohn, T.A., Faber, B.A., Stedinger, J.R., Thomas, W.O., Jr., Veilleux, A.G., Kiang, J.E., and Mason, R.R., Jr., 2019, Guidelines for determining flood flow frequency — Bulletin 17C (ver. 1.1, May 2019): U.S. Geological Survey Techniques and Methods, book 4, chap. B5, 148 p., https://doi.org/10.3133/tm4B5.
Over, T.M., Marti, M.K., O'Shea, P.S., Sharpe, J.B., 2023, Estimating peak-flow quantiles for selected annual exceedance probabilities in Illinois (Report No. FHWA-ICT-23-014). Illinois Center for Transportation. https://doi.org/10.36501/0197-9191/23-019.

Tags: annual-exceedance-probability, floods, hydrologic-processes, hydrology, illinois, indiana, inlandwaters, north-america, peak-flow-frequency, statistical-analysis, stream-gage-measurement, streamflow, time-series-analysis, united-states, usgs-63dbd454d34e9fa19a989fa3, wisconsin
Organization: Department of the Interior
United States Gulf Coast Basin Curated Wells and Logs Database (ver. 4.0, September 2025)

The United States (US) Gulf Coast Basin Curated Wells and Logs Database (CWLDB) is an online repository with stratigraphic information for petroleum wells in the United States portion of the onshore US Gulf Coast Basin that provides several of the following attributes: a) deep penetrations (generally, total depth of 10,000 feet or more), b) high quality and diverse geophysical well log suites, c) lithostratigraphic logs, d) biostratigraphic units (biozones) and reports, and/or e) core or cuttings samples.

Tags: alabama, albian, aptian, barremian, bartonian, berriasian, biostratigraphy, callovian, campanian, cenomanian, cenozoic, chattian, coahuilan, comanchean, coniacian, core-cuttings, cretaceous, danian, eocene, faunal-and-floral-census-microscopic, florida, formation, fossils, geochemistry, geology, geophysical-well-logs, geophysics, geoscientificinformation, gulfian, hauterivian, jurassic, kimmeridgian, lithostratigraphy, louisiana, lutetian, maastrichtian, mesozoic, micropaleontology, miocene, mississippi, neogene, oligocene, oxfordian, paleocene, paleogene, petrography, priabonian, reservoir-conditions, reservoir-properties, santonian, texas, thanetian, turonian, unconformities, usgs-63e25e99d34e9fa19a9b84fc, valanginian
Organization: Department of the Interior
Stage contour data for Cabeza Prieta National Wildlife Refuge (CPNWR), Arizona, February 2022

These data were compiled for Cabeza Prieta National Wildlife Refuge (CPNWR) in southern Arizona, to support managment efforts of water resources and wildlife conservation. Objective(s) of our study were to 1) measure water storage capacity at select stage heights in three tanks (also termed tinajas), 2) build a stage storage model to help CPNWR staff accurately estimate water volumes throughout the year, and 3) collect topographic data adjacent to the tanks as a means to help connect these survey data to past or future work. These data represent high-resolution (sub-meter) ground based lidar measurements used to meet these objectives and are provided as: processed lidar files (point clouds), rasters (digital elevation models), and vectors (shapefiles). These data were collected in Southern Arizona at Buckhorn, Eagle, and Senita tanks in the CPNWR from February 13-18, 2022. These data were collected by U.S. Geological Survey - Southwest Biological Science Center - Grand Canyon Monitoring and Research Center (GCMRC) staff for the CPNWR using a Riegl VZ 1000 ground-based lidar to produces ground elevation models georeferenced using control target coordinates collected by a Trimble real-time kinematic (RTK) rover and base station. These data which represent maximum water storage capacity at Buckhorn, Eagle and Senita tanks following sediment removal by CPNWR staff less than one month prior can be used to support management efforts for water resources at these tanks, and wildlife conservation in the CPNWR. Additionally, these data can be used as baseline conditions for evaluating changes in water storage and water storage capacity.

Tags: ajo, arizona, buckhorn-tank, cabeza-prieta-national-wildlife-refuge, conservation, data-release, eagle-tank, elevation, elevation-surface, environment, imagerybasemapsearthcover, inlandwaters, natural-resource-management, remote-sensing, sedimentation, senita-tank, shapefiles, southern-arizona, stage-storage, tinaja, topographic-maps, topography, usgs-63dad468d34e9fa19a989cc2, vector-data, volume, water-resources, water-storage, water-surface-area, wildlife-management, wildlife-tank
Organization: Department of the Interior
Digital elevation model (DEM) data for Cabeza Prieta National Wildlife Refuge (CPNWR), Arizona, February 2022

These data were compiled for Cabeza Prieta National Wildlife Refuge (CPNWR) in southern Arizona, to support managment efforts of water resources and wildlife conservation. Objective(s) of our study were to 1) measure water storage capacity at select stage heights in three tanks (also termed tinajas), 2) build a stage storage model to help CPNWR staff accurately estimate water volumes throughout the year, and 3) collect topographic data adjacent to the tanks as a means to help connect these survey data to past or future work. These data represent high-resolution (sub-meter) ground based lidar measurements used to meet these objectives and are provided as: processed lidar files (point clouds), rasters (digital elevation models), and vectors (shapefiles). These data were collected in Southern Arizona at Buckhorn, Eagle, and Senita tanks in the CPNWR from February 13-18, 2022. These data were collected by U.S. Geological Survey - Southwest Biological Science Center - Grand Canyon Monitoring and Research Center (GCMRC) staff for the CPNWR using a Riegl VZ 1000 ground-based lidar to produces ground elevation models georeferenced using control target coordinates collected by a Trimble real-time kinematic (RTK) rover and base station. These data which represent maximum water storage capacity at Buckhorn, Eagle and Senita tanks following sediment removal by CPNWR staff less than one month prior can be used to support management efforts for water resources at these tanks, and wildlife conservation in the CPNWR. Additionally, these data can be used as baseline conditions for evaluating changes in water storage and water storage capacity.

Tags: ajo, arizona, buckhorn-tank, cabeza-prieta-national-wildlife-refuge, conservation, data-release, digital-elevation-models, eagle-tank, elevation, elevation-surface, environment, imagerybasemapsearthcover, inlandwaters, natural-resource-management, raster-data, remote-sensing, sedimentation, senita-tank, southern-arizona, surface-model, three-dimensional-model, tinaja, topographic-maps, topography, usgs-63dad410d34e9fa19a989cbe, volume, water-resources, water-storage, water-surface-area, wildlife-management, wildlife-tank
Organization: Department of the Interior
Lidar point cloud data for Cabeza Prieta National Wildlife Refuge (CPNWR), Arizona, February 2022

These data were compiled for Cabeza Prieta National Wildlife Refuge (CPNWR) in southern Arizona, to support managment efforts of water resources and wildlife conservation. Objective(s) of our study were to 1) measure water storage capacity at select stage heights in three tanks (also termed tinajas), 2) build a stage storage model to help CPNWR staff accurately estimate water volumes throughout the year, and 3) collect topographic data adjacent to the tanks as a means to help connect these survey data to past or future work. These data represent high-resolution (sub-meter) ground based lidar measurements used to meet these objectives and are provided as: processed lidar files (point clouds), rasters (digital elevation models), and vectors (shapefiles). These data were collected in Southern Arizona at Buckhorn, Eagle, and Senita tanks in the CPNWR from February 13-18, 2022. These data were collected by U.S. Geological Survey - Southwest Biological Science Center - Grand Canyon Monitoring and Research Center (GCMRC) staff for the CPNWR using a Riegl VZ 1000 ground-based lidar to produces ground elevation models georeferenced using control target coordinates collected by a Trimble real-time kinematic (RTK) rover and base station. These data which represent maximum water storage capacity at Buckhorn, Eagle and Senita tanks following sediment removal by CPNWR staff less than one month prior can be used to support management efforts for water resources at these tanks, and wildlife conservation in the CPNWR. Additionally, these data can be used as baseline conditions for evaluating changes in water storage and water storage capacity.

Tags: ajo, arizona, buckhorn-tank, cabeza-prieta-national-wildlife-refuge, conservation, data-release, digital-elevation-models, eagle-tank, elevation, elevation-surface, environment, imagerybasemapsearthcover, inlandwaters, lidar, lidar-data, lidar-point-cloud, natural-resource-management, raster-data, remote-sensing, sedimentation, senita-tank, shapefiles, southern-arizona, stage-storage, surface-model, three-dimensional-model, tinaja, topographic-maps, topography, usgs-63dad31cd34e9fa19a989cac, vector-data, volume, water-resources, water-storage, water-surface-area, wildlife-management, wildlife-tank
Organization: Department of the Interior
Prioritized sites for conifer removal within the Utah portion of Bird Conservation Region 16, 2020

Individual species often drive habitat restoration action; however, management under this paradigm may negatively affect non-target species.  Prioritization frameworks which explicitly consider benefits to target species while minimizing consequences for non-target species may drastically improve management strategies. We examined extents to which conifer removal, an approach frequently implemented to restore sagebrush ecosystems, can be conducted without detrimental effects to conifer-associated species, including the imperiled Pinyon Jay (Gymnorhinus cyanocephalus). Additionally, we predicted abundance responses for multiple species following simulated conifer removal at sites selected to achieve variable management objectives.  We used model-predicted changes in species’ densities following simulated conifer removal to identify optimal removal sites under single species, multi-species (ecosystem), and multi-ecosystem management scenarios. We simulated conifer removal at prioritized sites under these scenarios using an integer linear programming algorithm and evaluated resulting abundances for six songbird species. The resulting maps represent prioritized pixels for conifer removal inside of priority areas for conservation (PACs) which occur within the Utah portion of Bird Conservation Region 16. Sites identified to receive conifer removal treatments which minimize effects to the pinyon jay, under three different budget scenarios, are represented in three raster layers: pija_3.tif, pija_6.tif, pija_9.tif. Sites identified for conifer removal treatments which maximize outcomes for Brewer’s Sparrow are represented in brsp_6.tif. Sites identified for conifer removal treatments which maximize outcomes for sagebrush-associated species; Brewer’s Sparrow (Spizella breweri), Sagebrush Sparrow (Artemisiospiza nevadensis), and Sage Thrasher (Oreoscoptes montanus) are represented in sb_ecosystem_6.tif. Sites identified for conifer removal which minimize negative outcomes for pinyon-juniper associated species; Bewick’s Wren (Thryomanes bewickii), Gray Flycatcher (Empidonax wrightii), and Pinyon Jay are represented in pj_ecosystem_6.tif.  Sites identified for conifer removal treatments which maximize outcomes for all six songbird species are represented in multi_ecosystem_6.tif. Sites identified for conifer removal treatments which maximize outcomes for Brewer’s Sparrow, Sagebrush Sparrow, and Sage Thrasher and which weight outcomes for Pinyon Jay three times more heavily than the other species are represented in sb_ecoystem_pijawt_6.tif. Finally, sites identified for conifer removal treatments which maximize outcomes for all six species, while weighting outcomes for Pinyon Jay three times more heavily than all other species are represented in multi_ecoystem_pijawt_6.tif.

Tags: biota, conifer-removal, multi-species-management, non-target-species, pinyon-juniper, sagebrush, songbirds, united-states, usgs-63dad28ad34e9fa19a989c99, utah
Organization: Department of the Interior
Microanalysis of samples collected from sandstone-hosted uranium and vanadium deposits in the Colorado Plateau: Utah, New Mexico and Colorado, USA

These data are microanalyses of 91 polished thin sections that were examined using a scanning electron microscope (SEM) equipped with an energy dispersive spectrometer (EDS) to identify minerals and observe their relationships at high magnification. Samples are from the Triassic Chinle and Jurassic Morrison Formations and adjacent units, which are the main hosts for sandstone-hosted uranium-vanadium deposits in the Colorado Plateau region. The samples were collected in 2019, 2020, and 2021 from mine dumps and surface mineralized rock at deposits throughout the Colorado Plateau in Utah and Colorado. Samples from New Mexico were from archival drill core and outcropping mineralized rock collected by Alexandra Pearce as part of her dissertation research at the New Mexico Institute of Mining and Technology, Socorro, New Mexico (Pearce, 2020) and were provided to USGS by Dr. Pearce for this study. 
The spectra for each EDS measurement are provided in separate documents in Portable Data Format (pdf), with one document for each thin section (e.g., BC-20-01B) that was examined. Element spectra were collected at multiple sites within each thin section, and at multiple spots at each site. Sites are arranged in numeric order in the PDF file for each thin section. The separation between sites is marked by a new image of the site showing the numbered spots for each site. For each sample site in the thin sections, three images (BSE, SEI, and MAP) are provided as part of this data release. The images are titled (e.g., BC-20-01B_BSE _001, BC-20-01B_SEI_001 and BC-20-01B_MAP_001), with the sample name (e.g., BC-20-01B) followed by the image type (e.g., SEI or BSE), then site number (e.g., 001). The naming convention for image types is "SEI” for images taken using a secondary electron detector and “BSE” for images taken using the backscattered electron detector. An image “MAP” is also provided for each analyzed site showing the location of this site on a composite BSE image of the thin section. These thin sections and rock samples are stored in the hot rocks room, Building 810, Denver Federal Center, Lakewood, Colorado, USA. 
Raw EDS data are saved in the vendor’s proprietary data formats. Visual displays of the EDS spectrum can be saved by the laboratory analyst or ser in any image format or in a MS Word document. Report options exist that will output elemental compositions based on the vendor’s standardless analysis routines. These data are for informational purposes and are not to be used in publication. Quantitative elemental composition by EDS in the DML is not routine and outside the scope of this SOP

Tags: colorado, colorado-plateau, geoscientificinformation, new-mexico, uranium, usgs-63daa73cd34e9fa19a97e9c7, utah, vanadium
Organization: Department of the Interior
Manatee tracking, sighting and environmental data from the Northern Gulf of Mexico, 2013-2019

Data sets collected for manatee movement and habitat research in the Northern Gulf of Mexico from 2013-2019. These include manatee GPS tracking, manatee sightings, aquatic vegetation from manatee use areas, and environmental data (salinity and bathymetry at vegetation sampling sites).

Tags: aquatic-vegetation, farming, habitat, northern-gulf-of-mexico, telemetry, usgs-63da9959d34e9fa19a97d617, usgs-ema-low-sb-tampe-manatee, usgs-ema-low-ss-oil-and-gas
Organization: Department of the Interior
Database of historical anthracite coal-mining infrastructure at the northern end of the Lackawanna syncline, Wayne, Susquehanna, and Lackawanna counties, Pennsylvania

Abandoned railroads and infrastructure from the anthracite coal mining industry are significant features in abandoned mine lands and are an important part of history; however, these features are often lost and masked by the passage of time and the regrowth of forests. The application of modern light detection and ranging (lidar) topographic analysis, combined with ground-truthing "boots on the ground" mapping, enable recovery of the location of these historical features. Waste rock piles and abandoned mine lands from historical mining locally appear as distinct features on the landscape depicted on the percent slope map. Abandoned, and in many places demolished, infrastructure such as breakers, turntables, rail beds, water tanks, tram piers, and bridge abutments, to name a few, were confirmed in the field and located with a global positioning system (GPS) receiver. This map captures the locations of many of the abandoned features from the coal mining industry near Forest City, Pennsylvania, and preserves a time that was an important part of the industrial revolution and a way of life that has been quiet for over half a century. The data layers should be used in conjunction with lidar data available separately at https://www.pasda.psu.edu.

Tags: abandoned-mine-land, anthracite, breaker, browndale, canaan, clifford, clinton, coal, fell, forest-city, infrastructure, lackawanna, lackawanna-syncline, pennsylvania, railroad, simpson, susquehanna, usgs-63da97f9d34e9fa19a97d60a, vandling, wayne
Organization: Department of the Interior
Geochronologic and isotopic data for Paleohydrologic history of Pluvial Lake San Agustin, New Mexico

This dataset includes tables of radiocarbon, uranium thorium series, and luminescence geochronologic ages and stable carbon and oxygen isotope compositions for sedimentary and organic samples.

Tags: catron-county, datil, geochemistry, geochronology, holocene, new-mexico, plains-of-san-agustin, pleistocene, usgs-63da94dfd34e9fa19a97d5f5
Organization: Department of the Interior