AndreaBozzo/ceres-open-data-index huggingface dataset:
In situ U-Pb dating of apatite and rutile from St. Francois Mountains IOA and IOCG deposits, southeast Missouri

Apatite (Ca5(PO4)3(Cl/F/OH)) and rutile (TiO2) samples were collected by the U.S. Geological Survey (USGS) from the iron oxide-apatite-rare earth element (IOA-REE) and iron oxide-copper-gold (IOCG) deposits hosted by the Mesoproterozoic, St. Francois Mountains terrane, southeast Missouri. Samples were prepared and analyzed for direct age dating on a laser ablation inductively coupled plasma mass spectrometer (LA-ICP-MS) system at the USGS in Denver, Colorado from May 2016 to June 2019.

Tags: apatite, boss-bixby, bourbon, crawford-county, dent-county, franklin-county, geochronology, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, gggsc, iron-county, kratz-spring, la-icp-ms, laser-ablation-inductively-coupled-plasma-mass-spectrometer, lead, mineral-deposits, mineral-resources-program, mrp, pea-ridge, pilot-knob, rutile, saint-francois-county, thorium, u-pb, u-s-geological-survey, uranium, uranium-lead-analysis, usgs, usgs-5fd7a280d34e30b9123cb492, washington-county
Organization: Department of the Interior
Soil properties dataset in the United States, Derived from 2020 gNATSGO database

The dataset consists of three raster GeoTIFF files describing the following soil properties in the US: available water capacity, field capacity, and soil porosity. The input data were obtained from the gridded National Soil Survey Geographic (gNATSGO) Database and the Gridded Soil Survey Geographic (gSSURGO) Database with Soil Data Development tools provided by the Natural Resources Conservation Service. The soil characteristics derived from the databases were Available Water Capacity (AWC), Water Content (one-third bar) (WC), and Bulk Density (one-third bar) (BD) aggregated as weighted average values in the upper 1 m of soil. AWC and WC layers were converted to mm/m to express respectively available water capacity and field capacity in 1 m of soil, and BD layer was used to produce soil porosity raster assuming that the average particle density of soils is equal to 2.65 g/cm3. For each soil property, soil maps with CONUS, Alaska, and Hawaii geographic coverages were derived from separate databases and combined into one file. To replace no data values within a raster, we used data values statistically derived from neighboring cell values. The final product is provided in a GeoTIFF format and therefore can be easily integrated into raster-based models requiring estimates of soil characteristics in the US.

Tags: agriculture, geoscientificinformation, inlandwaters, soil-moisture, usgs-5fd7c19cd34e30b9123cb51f, water-use
Organization: Department of the Interior
Electron Probe Microanalyses of apatite, rutile, and titanite from stream sediment and rock samples in the eastern Tanacross quadrangle, eastern Alaska

The exploration for porphyry deposits in some parts of Alaska may require unconventional exploration geochemical methods, depending on type of cover. The Taurus deposit and others in the region are mostly concealed by residual soils that in part include ash and loess, and therefore traditional stream sediment samples typically contain subdued geochemical signatures. Indicator mineral studies include collection of stream sediment samples and analysis using automated SEM mineralogical techniques. The presence of select minerals in the stream sediments may indicate mineralization. In addition, the chemistry of specific minerals may be used to distinguish a hydrothermal origin as opposed to others, and include apatite, rutile, and titanite. The electron probe data in this data release were collected for apatite, rutile, and titanite by personnel of the Geology, Geophysics, and Geochemistry Science Center in Denver, Colorado, for the U.S. Geological Survey (USGS) Mineral Resources Program (MRP). Appreciable differences in chemistry were noted for these minerals in mineralized rock and stream sediment samples draining these rocks compared to sediment samples away from mineralization.

Tags: alaska, apatite, chemical-analysis, eastern-alaska, electron-microprobe, electron-probe-microanalysis, epma, geochemistry, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, gggsc, mineral-resources, mineral-resources-program, mineralization, mineralogy, mrp, rutile, sediment-geochemistry, tanacross, taurus-poryphyry, titanite, usgs-5fd7c945d34e30b9123cb54c
Organization: Department of the Interior
The frequency of extreme rainfall intensities over a 24-hour duration

These GIS grids were produced from NOAA and NRCC precipitation frequency estimates for North America based on precipitation data collected from 1816 to 2014. The grids provide information for durations from 24-hour and for recurrence periods of 2 year through 500 years. Grid value units are inches * 1000.

Tags: 24, 2_, extreme, frequency, geographic-information-systems, hour, intensity, rain, rainfall, usgs-5fd7d244d34e30b9123cb5a8, year
Organization: Department of the Interior
Model archive for assessing long-term annual yields of highway and urban runoff in selected areas of California with the Stochastic Empirical Loading Dilution Model (SELDM)

Municipal Separate Storm Sewer System (MS4) permitees including the California Department of Transportation need information about potential loads and yields (loads per unit area) of constituents of concern in stormwater runoff. These entities also need information about the potential effectiveness of stormwater best management practices (BMPs) used to mitigate the effects of runoff. This information is needed to address total maximum daily load (TMDL) regulations. This model archive describes approaches used by the U.S. Geological Survey in cooperation with CalTrans for assessing long-term annual yields of highway and urban runoff in selected areas of California with version 1.1.0 of the Stochastic Empirical Loading and Dilution Model (SELDM). In this study SELDM was used to do 368 analyses to examine highway- and urban-runoff yields for 53 runoff-quality constituents. The analyses include 222 random-seed analyses, 60 regional highway-runoff analyses, 24 regional urban-runoff analyses, and 62 focused TMDL-area analyses. Results for all these analyses are provided in this model archive. Although application of results from this study may have considerable uncertainty for predicting loads from any particular stormwater outfall, the results do provide robust estimates to support basin-scale planning-level analyses in California. These analyses also provide regional estimates inside and outside California for the 12 U.S. Environmental Protection Agency level III ecoregions that lie in-whole or in-part within the state of California.

Tags: environment, runoff, usgs-5fd7eb08d34e30b9123cb603
Organization: Department of the Interior
Continuous multi-GAS monitoring of ambient H2O, CO2, SO2, and H2S, Newberry Volcano, Oregon

In response to reports of anomalous degassing at Newberry Volcano during summer 2020 a multi-GAS station (multiple Gas Analyzer System) was deployed to continuously monitor water vapor (H2O), carbon dioxide (CO2), sulfur dioxide (SO2), and hydrogen sulfide (H2S) levels in ambient air at East Lake campground. In addition to gas sensors the station included an anemometer for measurement of wind speed and direction, and sensors to record ambient temperature and relative humidity. The gas sensors' span responses were verified automatically every 7.25 days using CO2/SO2 and H2S gas standards deployed in the field and zeroes were checked automatically every six hours with field-installed soda lime and anhydrite canisters. The station was powered using AC line power from a nearby campsite and ran 24/7. Data were sampled and recorded at 1 Hz and also recorded as hourly average values by the datalogger. Raw timeseries data collected at 1 Hz sample rate were divided into files with a maximum of 10^6 rows for convenience. The station's datalogger recorded span and zero values by taking the median of the last thirty seconds of automated 3-minute-long span and zero cycles. The data reported herein have not been post-processed or adjusted for baseline variations or span drift. This type of instrument has been described in detail by Lewicki et al. (2017) and additional site-specific details are provided in the SiteInfo.csv file. Definitions of monitored features are provided in the "Definitions" file found on the parent directory of this release. A faulty power supply intermittently impacted the station's operation in mid-August and was replaced with a properly functioning unit on August 24, 2020. No further power issues were experienced for the remainder of the deployment.
References
Lewicki, J.L., Kelly, P.J., Bergfeld, D., Vaughan, R.G., Lowenstern, J.B., 2017. Monitoring gas and heat emissions at Norris Geyser Basin, Yellowstone National Park, USA based on a combined eddy covariance and Multi-GAS approach. J. Volcanol. Geotherm. Res. 347, 312–326. https://doi.org/10.1016/J.JVOLGEORES.2017.10.001

Tags: east-lake-campground, hydrothermal-processes, newberry-volcano, oregon, usgs-5fd8081fd34e30b9123cb648, volcanic-gas-emission
Organization: Department of the Interior
Campaign GPS measurements on the Island of Hawai`i collected by the Hawaiian Volcano Observatory in 2020

This dataset includes raw and rinex data from 2020 campaign gps data from the Island of Hawai`i in 2020. There was a total of 57 sites occupied. All data are included along with metadata, log sheets and raw/rinex data.

Tags: field-inventory-and-monitoring, geodesy, geophysics, hawaii-volcanoes-national-park, island-of-hawaii, klauea-volcano, mauna-loa-volcano, usgs-5fd80b7ed34e30b9123cb65a, volcanic-activity
Organization: Department of the Interior
Land Cover, Climate, and Geological conditions summarized within Maryland DNR Biological Stream Survey (MBSS) Catchments

This dataset consists of several measures of landscape characteristics, each of which is summarized from raster data within spatial polygons. These spatial polygons represent the land area upstream of sampled stream reaches. These stream reaches were sampled by the Maryland Department of Natural Resources for the Maryland Biological Stream Survey program during survey rounds one, two, and four. Landscape characteristics summarized here are either represented by continuous or discrete raster layers which are summarized as the average value of a given characteristic (continuous data) or the area occupied by each class (discrete data).  
The continuous datasets summarized included percentage of area occupied by tree canopy (for the years 2011 and 2016) and urban land cover (for the years 2001, 2006, 2011, and 2016); the percentage of the surficial geology made up of various chemical constituents (including aluminum oxide, calcium oxide, ferric oxide, potassium oxide, magnesium oxide, sodium oxide, nitrogen, phosphorus pentoxide, silicon dioxide, and sulfur); surficial geology physical characteristics (including hydraulic conductivity and uniaxial compressive strength); top soil characteristics (percentage of layer made up of clay, sand, and silt as well as soil K-factor/soil erodibility); topographic conditions (including elevation and topographic wetness index); annual and monthly climate conditions for the years 1994-1997,1999-2004, and 2013-2018 (average air temperature and total precipitation). 
The discrete datasets summarized included land cover classifications for the years 2001, 2004, 2006, 2008, 2011, 2016; land cover change index values for the period between 2001 and 2016.

Tags: air-temperature, climatology, geochemistry, geographic-information-systems, geologic-maps, geomorphology, geospatial-datasets, hydrogeology, land-surface-characteristics, land-use-and-land-cover, precipitation-atmospheric, soil-sciences, usgs-5fd8deaed34e30b9123cbab9
Organization: Department of the Interior
USGS National and Global Oil and Gas Assessment Project - Williston Basin, Tyler Formation Assessment Unit Boundaries and Assessment Input Data Forms

This data release contains the boundaries of assessment units and input data for the assessment of undiscovered oil and gas resources in the Tyler formation of the Williston Basin province in Montana, North Dakota and South Dakota. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources.  The Assessment Unit is defined within the context of the higher-level Total Petroleum System.  The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type.  The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies.  The only exceptions to this are Assessment Units that border the Federal-State water boundary.  In these cases, the Federal-State water boundary forms part of the Assessment Unit boundary.  Methodology of assessments are documented in USGS Data Series 547 for continuous assessments (https://pubs.usgs.gov/ds/547) and USGS DDS69-D, Chapter 21 for conventional assessments (https://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_21.pdf).  See supplemental information for a detailed list of files included this data release.

Tags: assessment-unit, continuous-assessment-unit, energy-resources, geology, geoscientificinformation, lower-tyler-continuous-oil, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, noga2000, oil, oil-resources, oilgas, petroleum, resource-assessment, state-of-montana, state-of-north-dakota, tyler-conventional-reservoirs, unconventional-assessment-unit, united-states-of-america, upper-tyler-continuous-oil, usgs-5fd8effad34e30b9123cbb7f
Organization: Department of the Interior
Digital map of iron sulfate minerals, other mineral groups, and vegetation of the western United States derived from automated analysis of Landsat 8 satellite data

Multispectral remote sensing data acquired by Landsat 8 Operational Land Imager (OLI) sensor were analyzed using an automated technique to generate surficial mineralogy and vegetation maps of the conterminous western United States. Six spectral indices (e.g. band-ratios), highlighting distinct spectral absorptions, were developed to aid in the identification of mineral groups in exposed rocks, soils, mine waste rock, and mill tailings across the landscape. The data are centered on the Western U.S. and cover portions of Texas, Oklahoma, Kansas, the Canada-U.S. border, and the Mexico-U.S. border during the summers of 2013 – 2014. Methods used to process the images and algorithms used to infer mineralogical composition of surficial materials are detailed in Rockwell and others (2021) and were similar to those developed by Rockwell (2012; 2013). Final maps are provided as ERDAS IMAGINE (.img) thematic raster images and contain pixel values representing mineral and vegetation group classifications.
Rockwell, B.W., 2012, Description and validation of an automated methodology for mapping mineralogy, vegetation, and hydrothermal alteration type from ASTER satellite imagery with examples from the San Juan Mountains, Colorado: U.S. Geological Survey Scientific Investigations Map 3190, 35 p. pamphlet, 5 map sheets, scale 1:100,000, http://doi.org/10.13140/RG.2.1.2769.9365.
Rockwell, B.W., 2013, Automated mapping of mineral groups and green vegetation from Landsat Thematic Mapper imagery with an example from the San Juan Mountains, Colorado: U.S. Geological Survey Scientific Investigations Map 3252, 25 p. pamphlet, 1 map sheet, scale 1:325,000, http://doi.org/10.13140/RG.2.1.2507.7925.
Rockwell, B.W., Gnesda, W.R., and Hofstra, A.H., 2021, Improved automated identification and mapping of iron sulfate minerals, other mineral groups, and vegetation from Landsat 8 Operational Land Imager Data: San Juan Mountains, Colorado, and Four Corners Region: U.S. Geological Survey Scientific Investigations Map 3466, scale 1:325,000, 51 p. pamphlet, https://doi.org/10.3133/sim3466/.

Tags: agricultural-fields, argillic, arizona, california, canada, clay, colorado, computational-methods, ferric-iron, ferrous-iron, geoscientificinformation, green-vegetation, hydrothermal-alteration, idaho, image-analysis, iron-hydroxide-minerals, iron-sulfate-minerals, kansas, land-use-and-land-cover, marble, mexico, mica, mine-waste, minnesota, montana, multispectral-imaging, nebraska, nevada, new-mexico, north-dakota, oklahoma, oregon, oxides, pyrite, remote-sensing, south-dakota, texas, united-states, usgs-5fd90505d34e30b9123cbbf3, washington, wyoming
Organization: Department of the Interior
Dataset of C1-C6 Dissolved Trace Hydrocarbon Measurements in the Western "Wet Gas" Part of the Marcellus Shale Oil and Gas Play in West Virginia, U.S.A. Collected between June and August 2018

This dataset contains measurements of dissolved hydrocarbons in from groundwater samples collected in the shale gas producing regions of West Virginia, USA, between June and August of 2018.
The target analytes in this study were: methane (CH4), ethane (C2H6), ethene (C2H4), ethyne (C2H2), propane (C3H8), propene (C3H6), i-butane (C4H10), n-butane (C4H10), 1-butene (C4H8), propyne (C3H4), i-pentane (C5H12), n-pentane (C5H12), 2-methyl-pentane (C6H14), 3-methyl-pentane (C6H14), hexane (C6H14), and benzene (C6H6). 
This dataset also contains corresponding measurements of chlorofluorocarbons (CFCs), Sulfurhexafluoride (SF6), dissolved permanent gases (N2/Ar), tritium, the isotope ratio of helium dissolved in water, the concentration of neon dissolved in water, the isotope ratios of hydrogen-2 and oxygen-18 in water, and the isotope ratio of carbon-13 in dissolved inorganic carbon (DIC).

Tags: biota, dissolved-gases, environment, gas-chromatography, greenhouse-gases, groundwater, groundwater-geochemistry, groundwater-quality, natural-gas-resources, usgs-5fd94615d34e30b9123cd00b, usgs-ema-low-ss-oil-and-gas
Organization: Department of the Interior
SPARROW cover crop model coefficients, summary statistics, inputs and simulated total phosphorus loads in streams of the Midwest United States, 2012 Base Year

The U.S. Geological Survey’s (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate nutrient loads in streams across the Midwest Region of the United States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based water-quality load estimates. This USGS data release includes input, output, control, model coefficient and summary statistic files associated with 2012 SPARROW simulations of total phosphorus load in streams of the Midwest and represents a variation of a similar model described in Robertson and Saad (2019, https://doi.org/10.3133/sir20195114). This version of the model utilizes cover crops as a land-to-water delivery term in place of the phosphorus loss rate term included in the original model.  The impacts of cover crops on total phosphorus load in streams was evaluated by increasing and decreasing the percent of cover crop in catchments of the Midwest.  The results of this evaluation are described in Roland and others (2022, https://doi.org/10.2489/jswc.2022.00162).

Tags: alabama, arkansas, colorado, georgia, illinois, indiana, iowa, kansas, kentucky, louisiana, maryland, michigan, minnesota, mississippi, missouri, montana, nebraska, new-mexico, new-york, north-dakota, nutrient-content-water, ohio, oklahoma, pennsylvania, river-systems, south-dakota, tennessee, texas, usgs-5fd94692d34e30b9123cd0a0, virginia, water-quality, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Earthquake geology inputs for the National Seismic Hazard Model (NSHM) 2023, version 1.0

This Data Release contains preliminary versions of two related databases: 1) A fault sections database (“NSHM2023_FaultSections_v1”), which depicts the geometry of faults capable of hosting independent earthquakes, and 2) An earthquake geology site information database (“NSHM2023_EQGeoDB_v1”), which contains fault slip-rate constraints at points.  These databases were prepared in anticipation of updates to the National Seismic Hazard Model (NSHM) 2023. Fault-specific geologic parameters for the NSHM have not been updated since the 2014 NSHM release. The datasets include the states of Washington, Oregon, California, Idaho, Nevada, Arizona, Montana, Wyoming, Colorado, New Mexico and Texas.  Datasets containing fault information for Alaska and the Central and Eastern United States will be the subject of future efforts. These databases are provided as geospatial data (e.g., .SHP, .KML, .GeoJSON file formats) and tables (.CSV format).

Tags: arizona, california, colorado, hazards, idaho, montana, new-mexico, oregon, usgs-5fd95c6fd34e30b9123cdde9, utah, washington, wyoming
Organization: Department of the Interior
2017 Yellowstone River Dye-Trace Experiment

Data consist of geolocation, temperature, turbidity, time, and dye concentrations collected at four downstream locations from Rhodamine WT dye injection point on Yellowstone River in June 2017

Tags: biota, hydrodynamic-dispersion, hydrology, inlandwaters, larval-drift, missouri-river, montanna, rhodamine, rwt, usgs-5fda1cdad34e30b9123ce3bc, yellowstone-river
Organization: Department of the Interior
Database for the geologic map of the central San Juan caldera cluster, southwestern Colorado

This geodatabase contains all the geologic map information for the Geologic Map of the San Juan caldera cluster, southwestern Colorado and is part of U.S. Geological Survey Geologic Investigations Map Series I-2799. The San Juan Mountains are the largest erosional remnant of a composite volcanic field that covered much of the southern Rocky Mountains in middle Tertiary time. The San Juan field consists mainly of intermediate-composition lavas and breccias, erupted about 35-30 Ma from scattered central volcanoes (Conejos Formation) and overlain by voluminous ash-flow sheets erupted from caldera sources. In the central San Juan Mountains, eruption of at least 8,800 km3 of dacitic-rhyolitic magma as nine major ash flow sheets (individually 150-5,000 km3) was accompanied by recurrent caldera subsidence between 28.3 Ma and about 26.5 Ma. Voluminous andesitic-dacitic lavas and breccias were erupted from central volcanoes prior to the ash-flow eruptions, and similar lava eruptions continued within and adjacent to the calderas during the period of more silicic explosive volcanism. Exposed calderas vary in size from 10 to 75 km in maximum dimension, the largest calderas being associated with the most voluminous eruptions.

Tags: andesite, ash-flow-tuff, basalt, caldera, central-san-juan-caldera-cluster, central-san-juan-mountains, colorado, faulting-geologic, geoscientificinformation, gunnison, holocene, lava-flow, miocene, oligocene, pleistocene, pliocene, pyroclastic-rock, quaternary, rhyolite, san-juan, tertiary, tuff, united-states, usgs-5fdbac48d34e30b9123d24ff, volcanic-activity, volcanic-breccia, volcanic-eruptions, volcanic-features, volcanic-rocks, volcanology, welded-tuff
Organization: Department of the Interior