AndreaBozzo/ceres-open-data-index huggingface dataset:
Data Release for 'The Susceptibility of Oklahoma’s Basement to Seismic Reactivation' NGEO 2019

Recent widespread seismicity in Oklahoma is attributed to the reactivation of pre
existing, critically-stressed, and seismically unstable faults due to decades of wastewater
injection. However, the structure and properties of the reactivated faults remain concealed by the
sedimentary cover. Here, we explore the major ingredients needed to induce earthquakes in
Oklahoma by characterizing basement faults in the field, in seismic surveys and via rock
mechanics experiments. Outcrop and satellite mapping reveal widespread fracture/fault systems
with trends that display a marked similarity to the trends of recent earthquake lineaments. Our
3D seismic analyses show steeply-dipping basement-rooted faults that penetrate the overlying
sedimentary sequences, representing pathways for wastewater migration. Experimental stability
analysis indicates that Oklahoma’s basement rocks become seismically unstable at conditions
relevant to the dominant hypocentral depths of the recent earthquakes. These analyses
demonstrate that the geometry, structure and mechanical stability of Oklahoma’s basement make
it critically susceptible to seismic reactivation.

Tags: geoscientificinformation, seismology, usgs-5d41e0ebe4b01d82ce8da75d
Organization: Department of the Interior
Air, plant, and unsaturated-zone tritium and plant-metrics data, Amargosa Desert Research Site, Nye County, Nevada, 2012–2016

These data comprise air, plant (creosote bush, Larrea tridentata), and unsaturated-zone tritium measurements and plant metrics collected during 2012 to 2016 from three sampling areas at the Amargosa Desert Research Site (ADRS) near Beatty, Nevada: (1) within a low-level radioactive waste facility, (2) buffer area adjacent to the waste facility, and (3) reference area 3 kilometers from the waste facility. Plant metrics include foliage-water content and canopy and stem dimensions. Supporting information includes a list of publications that provide descriptions of methods used to collect the data and results of previous tritium research at the ADRS. All data and supporting information are compiled in an electronic spreadsheet that is included with this release.

Tags: amargosa-desert, biota, climatologymeteorologyatmosphere, contaminant-transport, contamination-and-pollution, disposal-sites, environment, environmental-health-human, geoscientificinformation, health, hydrology, inlandwaters, mojave-desert, nevada, nye-county, plant-and-animal-testing, soil-resources, toxic-radionuclide-contamination, tritium-analysis, united-states-of-america, unsaturated-zone, usgs-5d41c367e4b01d82ce8da5c0, water-quality, water-resources
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 wave-hazard projections: 1-year storm in San Mateo County

This data contains maximum model-derived significant wave height (in meters) for the sea-level rise (SLR) and storm condition indicated. 
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions) and simulated 1-year/20-year/100-year return interval coastal storms. Methods and processes used in Central California are replicated from and described in O'Neill and others (2018).Please read metadata and inspect output carefully.  Data are complete for the information presented.
      

Tags: beaches, central-california, central-california-coast, climate-change, climatologymeteorologyatmosphere, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, san-mateo-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, u-s-geological-survey, usgs, usgs-5d41c135e4b01d82ce8da5a0, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 water-level projections: 1-year storm in San Mateo County

This data contains model-derived total water levels (in meters) for the sea-level rise (SLR) and storm condition indicated. 
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions) and simulated 1-year/20-year/100-year return interval coastal storms. Methods and processes used in Central California are replicated from and described in O'Neill and others (2018).Please read metadata and inspect output carefully.  Data are complete for the information presented.
      

Tags: beaches, central-california, central-california-coast, climate-change, climatologymeteorologyatmosphere, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, san-mateo-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, u-s-geological-survey, usgs, usgs-5d41c0eae4b01d82ce8da593, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 flood-hazard projections: 1-year storm in San Mateo County

This data contains geographic extents of projected coastal flooding, low-lying vulnerable areas, and maximum/minimum flood potential (flood uncertainty) associated with the sea-level rise (SLR) and storm condition indicated.
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions) and simulated 1-year/20-year/100-year return interval coastal storms. Methods and processes used in Central California are replicated from and described in O'Neill and others (2018).Please read metadata and inspect output carefully.  Data are complete for the information presented.
      

Tags: beaches, central-california, central-california-coast, climate-change, climatologymeteorologyatmosphere, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, san-mateo-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, u-s-geological-survey, usgs, usgs-5d41bfb0e4b01d82ce8da57b, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 flood depth and duration projections: 1-year storm in San Mateo County

This data contains maximum depth of flooding (cm) in the region landward of the present-day shoreline for the sea-level rise (SLR) and storm condition indicated. 
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions) and simulated 1-year/20-year/100-year return interval coastal storms. Methods and processes used in Central California are replicated from and described in O'Neill and others (2018).Please read metadata and inspect output carefully.  Data are complete for the information presented.
      

Tags: beaches, central-california, central-california-coast, climate-change, climatologymeteorologyatmosphere, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, san-mateo-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, u-s-geological-survey, usgs, usgs-5d41beaee4b01d82ce8da56d, water-depth, waves, wind
Organization: Department of the Interior
USGS National and Global Oil and Gas Assessment Project-Los Angeles Basin Province, Monterey Formation Assessment Unit Boundaries

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.

Tags: assessment-unit, california, central-and-eastern-los-angeles-basin-monterey, continuous-assessment-unit, earth-science, economic-geology, energy-resources, geology, geoscientificinformation, los-angeles-western-shelf-nodular-shale, monterey, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, natural-resources, noga2000, oil, oil-resources, oilgas, petroleum, resource-assessment, u-s-geological-survey, unconventional-assessment-unit, usgs, usgs-5d419ef1e4b01d82ce8da496, usgs-world-energy-region-5
Organization: Department of the Interior
Digital data from USGS OFR 83-250: Selected data for low-temperature (less than 90 degrees C) geothermal systems in the United States; reference data for U.S. Geological Survey Circular 892

The data in the csv and text files provided in this release are an update to the data tables originally published in USGS Open-File Report (OFR) 83-250 (https://doi.org/10.3133/cir892).  Those data were published as paper tables and have until now only been available as pdf image documents that were not machine readable.  USGS OFR 83-250 presented data for 2071 geothermal sites which are representative of 1168 low-temperature geothermal systems identified in 26 states. The low-temperature geothermal systems consist of 978 isolated hydrothermal-convection systems, 148 delineated-area hydrothermal-convection systems, and 42 delineated-area conduction-dominated systems.  The basic data and estimates of reservoir conditions are presented for each geothermal system, and energy estimates are given for the accessible resource base, resource, and beneficial heat for each isolated system. 
This electronic version of USGS OFR 83-250 tables includes several changes.  Typographical errors were corrected.  The location accuracy of many wells and springs was improved by comparing the original locations with other databases and with USGS topographic maps.  Charge balance and additional geothermometer calculations made by the original authors that have become available since the original publication were also included.

Tags: alaska, arizona, arkansas, california, colorado, energy-resources, georgia, geothermal-resources, hydrothermal-processes, idaho, massachusetts, montana, nevada, new-mexico, new-york, north-carolina, oregon, south-dakota, texas, united-states, usgs-5d40b3f3e4b01d82ce8d9df5, utah, virginia, washington, water-chemistry, water-temperature, west-virginia, wyoming
Organization: Department of the Interior
Gridded risk-targeted spectral response acceleration data and 84th-percentile spectral acceleration data used to calculate the Risk-Targeted Maximum Considered Earthquake (MCER) spectral response accelerations of the 2020 NEHRP Recommended Seismic Provisions, and 2022 ASCE/SEI 7 Standard for Guam and the Northern Mariana Islands.

The Risk-Targeted Maximum Considered Earthquake (MCER) spectral response accelerations of the 2020 NEHRP Recommended Seismic Provisions and 2022 ASCE/SEI 7 Standard are derived from the downloadable data files.  For each spectral period and site class, the MCER spectral response acceleration (S_aM) is calculated via the following equation:
S_aM = min[ S_aRT , max( S_a84th , S_aDLL ) ]
where
S_aRT = risk-targeted spectral acceleration
S_a84th = 84th-percentile spectral acceleration
S_aDLL = deterministic lower limit spectral acceleration

Tags: 2020, 2020-nehrp, 2022, 2022-asce-sei-7, earthquakes, engineering-sciences, guam, hazards, northern-mariana-islands, risk, seismic, seismology, standards, united-states, usa, usgs-5d40a5dbe4b01d82ce8d9d7e
Organization: Department of the Interior
Gridded risk-targeted spectral response acceleration data and 84th-percentile spectral acceleration data used to calculate the Risk-Targeted Maximum Considered Earthquake (MCER) spectral response accelerations of the 2020 NEHRP Recommended Seismic Provisions, and 2022 ASCE/SEI 7 Standard for Alaska.

The Risk-Targeted Maximum Considered Earthquake (MCER) spectral response accelerations of the 2020 NEHRP Recommended Seismic Provisions and 2022 ASCE/SEI 7 Standard are derived from the downloadable data files.  For each spectral period and site class, the MCER spectral response acceleration (S_aM) is calculated via the following equation:
S_aM = min[ S_aRT , max( S_a84th , S_aDLL ) ]
where
S_aRT = risk-targeted spectral acceleration
S_a84th = 84th-percentile spectral acceleration
S_aDLL = deterministic lower limit spectral acceleration

Tags: 2020, 2020-nehrp, 2022, 2022-asce-sei-7, alaska, earthquakes, engineering-sciences, hazards, risk, seismic, seismology, standards, united-states, usa, usgs-5d4055cae4b01d82ce8d9a46
Organization: Department of the Interior
Gridded risk-targeted spectral response acceleration data and 84th-percentile spectral acceleration data used to calculate the Risk-Targeted Maximum Considered Earthquake (MCER) spectral response accelerations of the 2020 NEHRP Recommended Seismic Provisions, and 2022 ASCE/SEI 7 Standard for American Samoa.

The Risk-Targeted Maximum Considered Earthquake (MCER) spectral response accelerations of the 2020 NEHRP Recommended Seismic Provisions and 2022 ASCE/SEI 7 Standard are derived from the downloadable data files.  For each spectral period and site class, the MCER spectral response acceleration (S_aM) is calculated via the following equation:
S_aM = min[ S_aRT , max( S_a84th , S_aDLL ) ]
where
S_aRT = risk-targeted spectral acceleration
S_a84th = 84th-percentile spectral acceleration
S_aDLL = deterministic lower limit spectral acceleration

Tags: 2020, 2020-nehrp, 2022, 2022-asce-sei-7, american-samoa, earthquakes, engineering-sciences, hazards, risk, seismic, seismology, standards, united-states, usa, usgs-5d4055b2e4b01d82ce8d9a43
Organization: Department of the Interior
Location, description, and whole rock geochemistry of rocks from the Coles Hill uranium deposit and vicinity, south-central Virginia

Major-element and trace-element concentrations in 76 core samples and seven surface samples of rocks from the Coles Hill uranium deposit and vicinity, Pittsylvania County, south-central Virginia are presented as tabular digital data. The Coles Hill deposit is the largest unmined uranium deposit in the United States. The data were collected to 1) characterize the chemistry of variably uranium-mineralized rock units within the deposit and 2) to compare with the chemistry of un-mineralized surface exposures of the same rock units. Cores were sampled in 2017 by U.S. Geological Survey (USGS) personnel from archived historical collections of the Virginia Museum of Natural History. Core samples were selected based on measurable differences in radioactivity and/or visual differences in alteration, fracturing, and brecciation. Rock units present within the deposit are Leatherwood Granite (granite-gneiss of upper Ordovician age) and Rich Acres Formation (amphibolite of Silurian age).

Tags: coles-hill-uranium-deposit, geochemistry, geoscientificinformation, granite-gneiss, icp-ms, icp-oes, ore-deposit, pittsylvania-county, rare-earth-elements, uranium, usgs-5d40458de4b01d82ce8d9a25, virginia, wdxrf
Organization: Department of the Interior
Metal-mixtures experimental stream study, part 4 (2016): Co, Cu, and Ni exposures: aquatic, biofilm, tissue and sediment chemistry; larval aquatic insect counts, and algal biomass

This dataset is from the fourth of four experiments which test the toxicity of several metals with aquatic insect communities that were colonized in the field and then transferred and tested in experimental streams. Here we report original data from testing the toxicity of cobalt (Co), copper (Cu), and nickel (Ni), singly and in mixtures, to natural benthic communities including aquatic insect and algal communities. The methods are the same as those used in Experiment 3, except for the metals combinations. Trays of cleaned gravel were placed in a stream (the Cache La Poudre River, Colorado) and allowed to colonize for about 40 days before being translocated to Aquatic Experimental Stream Laboratory (AXL) which was located at the USGS Fort Collins Science Center.  There the insects were exposed for 30 days to metal mixtures in ratios and concentrations similar to those occurring in ambient conditions.  Emerging adult insects were captured and collected daily throughout the experiment, and larvae were collected at the end of the experiment. Additionally, metal residues were measured in sediments, periphyton and Brachycentrus caddisflies (a common, large-bodied, robust taxa that could survive high metals accumulations).  Algal biomass responses to metals were measured in situ by in-vivo fluorescence.

Tags: bioaccumulation, biota, ecotoxicology, experimental-streams, mesocosm, metals-mixture-toxicity, usgs-5d3f893de4b01d82ce8d96d1
Organization: Department of the Interior
Metal-mixtures experimental stream study, part 3 (2015): Cu, Ni, and Zn exposures: aquatic, biofilm, tissue and sediment chemistry; larval aquatic insect counts, and algal biomass

This dataset is from the third of four experiments which test the toxicity of several metals with aquatic insect communities that were colonized in the field and then transferred and tested in experimental streams. Here we report original data from testing the toxicity of copper (Cu), nickel (Ni), and zinc (Zn), singly and in mixtures, to natural aquatic insect communities. Methods are the same as those in Experiment 2, with the addition of in situ, in-vivo fluorescence measurements of benthic algae. Trays of cleaned gravel were placed in a stream (the Cache La Poudre River, Colorado) and allowed to colonize for about 40 days before being translocated to Aquatic Experimental Stream Laboratory (AXL) which was located at the USGS Fort Collins Science Center. There the insects were exposed for 30 days to metal mixtures in ratios and concentrations similar to those occurring in ambient conditions. Emerging adult insects were captured and collected daily throughout the experiment, while larvae and metal residues were measured in periphyton and Brachycentrus caddisflies (a common, large-bodied, robust insect that could survive high metals accumulations) at the end of the experiment. In addition, algal biomass was measured in situ by in-vivo fluorescence at the end of the experiment.

Tags: bioaccumulation, biota, ecotoxicology, experimental-streams, mesocosm, metals-mixture-toxicity, usgs-5d3f8902e4b01d82ce8d96bf
Organization: Department of the Interior
Metal-mixtures experimental stream study, part 2 (2014): Cd, Cu, and Zn exposures: aquatic, biofilm, tissue and sediment chemistry and larval aquatic insect counts

This dataset is from the second of four experiments which test the toxicity of several metals with aquatic insect communities that were colonized in the field and then transferred and tested in experimental streams. Here we report original data from testing the toxicity of cadmium (Cd), zinc (Zn), and copper (Cu) singly and in mixtures, to natural aquatic insect communities. Thus, the exposures reproduced those in experiment 1, with the addition of a third metal, Cu Trays of cleaned gravel were placed in a stream (the Cache La Poudre River, Colorado) and allowed to colonize for about 40 days before being translocated to Aquatic Experimental Stream Laboratory (AXL) which was located at the USGS Fort Collins Science Center. There the insects were exposed for 30 days to metal mixtures in ratios and concentrations similar to those occurring in ambient conditions.  Emerging adult insects were captured and collected daily throughout the experiment, while larvae and metal residues in periphyton, sediment, and Brachycentrus caddisflies (a common, large-bodied, robust taxa that could survive high metals accumulations) were collected on the final day of the experiment.

Tags: bioaccumulation, biota, ecotoxicology, experimental-streams, mesocosm, metals-mixture-toxicity, usgs-5d3f88e9e4b01d82ce8d96ae
Organization: Department of the Interior
Metal-mixtures experimental stream study 1 (2013): Cd and Zn exposures: aquatic chemistry and larval counts

This dataset is from the first of four experiments which test the toxicity of several metals with aquatic insect communities that were colonized in the field and then transferred and tested in experimental streams. Here we report original data from an experiment testing the toxicity of cadmium (Cd) and zinc (Zn), singly and in mixtures, to natural aquatic insect communities. Trays of cleaned gravel were placed in a stream (the Cache La Poudre River, Colorado) and allowed to colonize for about 40 days before being translocated to Aquatic Experimental Stream Laboratory (AXL) which was located at the USGS Fort Collins Science Center.  There the insects were exposed for 30 days to metal mixtures in ratios and concentrations similar to those occurring in ambient conditions.

Tags: benthic-communities, biota, dissolved-metals, ecology, ecotoxicology, environment, experimental-streams, experimentation, mesocosm, usgs-5d3f8887e4b01d82ce8d9673
Organization: Department of the Interior