AndreaBozzo/ceres-open-data-index huggingface dataset:
National Assessment of Oil and Gas Project - Utica Shale Unconventional Assessment

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, continuous-assessment-unit, earth-science, economic-geology, energy-resources, geology, geoscientificinformation, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, natural-resources, noga2000, nogaappalachian, oil, oil-resources, oilgas, resource-assessment, u-s-a, u-s-geological-survey, unconventional-assessment-unit, united-states, usgs, usgs-5d1cdb5fe4b0941bde64b08b, usgs-world-energy-region-5, utica-shale-gas, utica-shale-oil
Organization: Department of the Interior
Southern hognose snake Species Status Assessment data products

The three datasets were used in a model estimating the current and future persistence of 222 populations of southern hognose snakes, as estimated as part of the USFWS Species Status Assessment. Because these datasets contain information about sensitive species at risk of overcollection and harassment, they do not contain any spatial identifying information.
The "HESIM_locs" dataset contains a list of southern hognose snake occurrence records with associated year of observation and population ID. The "SEsnakes_locs" dataset contains a list of non-target snake species occurrence records with associated year of observation and population ID. The "HESIM_pops_all" dataset contains a list of southern hognose snake populations with associated habitat metrics of current and future conditions derived from publically available spatial datasets, a habitat suitability model by Crawford et al. 2019, and estimated persistence probability from the analysis.
A full description of the methodology and results of the southern hognose snake status assessment is available in the publication: Crawford, B.A., Olds, M.J., Maerz, J.C., and Moore, C.T., 2019. Estimating population persistence for at-risk species using citizen science data. Biological Conservation. In review. The full Species Status Assessment: U.S. Fish and Wildlife Service, 2019. Species status assessment for the southern hognose snake (Heterodon simus). Version 1.1, April 2019. Atlanta, GA. Available at https://ecos.fws.gov/ServCat/DownloadFile/168148.

Tags: 3-rs, alabama, at-risk-species, coastal-plain, farming, florida, georgia, longleaf-pine-system, mississippi, north-carolina, population-persistence, south-carolina, southeast-us, southern-hognose-snake, species-status-assessment-ssa, usgs-5d1cb18ee4b0941bde646b03
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 ocean-currents projections: average conditions in San Luis Obispo County

This data contains maximum model-derived ocean currents (in meters per second) 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, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, san-luis-obispo-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, usgs-5d1bd83ce4b0941bde621235, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 ocean-currents projections: 20-year storm in San Luis Obispo County

This data contains maximum model-derived ocean currents (in meters per second) 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, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, san-luis-obispo-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, usgs-5d1bd7fee4b0941bde62122f, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 ocean-currents projections: 100-year storm in San Luis Obispo County

This data contains maximum model-derived ocean currents (in meters per second) 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, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, san-luis-obispo-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, usgs-5d1bd7d1e4b0941bde621229, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 water-level projections: average conditions in San Luis Obispo 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, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, san-luis-obispo-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, usgs-5d1bd111e4b0941bde621210, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 water-level projections: 20-year storm in San Luis Obispo 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, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, san-luis-obispo-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, usgs-5d1bd0e2e4b0941bde62120a, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 water-level projections: 100-year storm in San Luis Obispo 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, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, san-luis-obispo-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, usgs-5d1bd0b6e4b0941bde621204, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 wave-hazard projections: average conditions in San Luis Obispo 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, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, san-luis-obispo-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, usgs-5d1bd078e4b0941bde6211fe, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 wave-hazard projections: 100-year storm in San Luis Obispo 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, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, san-luis-obispo-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, usgs-5d1bd01ce4b0941bde6211f1, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 flood depth and duration projections: 20-year storm in San Luis Obispo 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, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, san-luis-obispo-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, usgs-5d1bcfb1e4b0941bde6211e2, water-depth, waves, wind
Organization: Department of the Interior
USGS National Assessment of Oil and Gas Project - Uteland Butte Assessment Units

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, continuous-assessment-unit, earth-science, economic-geology, energy-resources, geology, geoscientificinformation, national-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, natural-resources, noga2000, nogaupiceance, oil, oil-resources, oilgas, resource-assessment, u-s-a, u-s-geological-survey, unconventional-assessment-unit, united-states, usgs, usgs-5d1bc7aae4b0941bde6211a6, usgs-world-energy-region-5, uteland-butte-carbonate-continuous-oil, uteland-butte-marginal-lacustrine-conventional-oil-and-gas
Organization: Department of the Interior
USGS National and Global Oil and Gas Assessment Project-Burgos, Tampico-Misantla, and Sabinas Provinces, Northeast Mexico, Assessment Unit Boundaries

The Assessment Unit is the fundamental unit used in the National and Global Petroleum 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.

Tags: 2000assessment, agua-nueva-shale-gas-au, agua-nueva-shale-oil-au, assessment-unit, burgos-basin-province, continuous-assessment-unit, conventional-assessment-unit, earth-science, economic-geology, energy-resources, geology, geoscientificinformation, la-casita-shale-gas-au, mexico, national-and-global-assessment-of-oil-and-gas, natural-gas, natural-gas-resources, natural-resources, northeast-mexico, oil, oil-resources, pimienta-shale-gas-au, pimienta-shale-oil-au, resource-assessment, rio-escondido-basin-olmos-coalbed-gas-au, sabinas-basin-province, tampico-misantla-basin-province, u-s-geological-survey, unconventional-assessment-unit, usgs, usgs-5d1bb809e4b0941bde6210f3, usgs-world-energy-region-5, wep, wilcox-lobo-tight-gas-au
Organization: Department of the Interior
Landsat-derived wintertime greenness datasets and results from cover crop performance analysis within the Tuckahoe Creek watershed, Maryland, from 1984 to 2017.

This metadata record documents data files, an analysis script, and results from a land-surface greenness analysis of the Tuckahoe Creek watershed, covering parts of Caroline, Queen Anne's and Talbot Counties in Maryland from 1984 to 2017.  Included in this record are: 1) 34 raster datasets containing maximum wintertime greenness values on an annual basis from 1984 to 2017, 2) a script used in Google Earth Engine to create the raster datasets, 3) tabular output from vegetation biomass analysis for 1984 to 2017 using a composite cropland layer, 4) a raster of the composite cropland layer, 5) tabular output from vegetation biomass analysis by preceding summer crop type for 2008 to 2017 using year-specific annual cropland data layers, and 6) tabular data of winter cover crop enrollment in the Maryland Agricultural Cost-Share program within the Tuckahoe Creek watershed for available years from 2008 to 2017.

Tags: agricultural-bmp, chesapeake-bay-watershed, choptank-river, cover-crop, eastern-shore, greenness-analysis, inlandwaters, ndvi, remote-sensing, tuckahoe-river, usgs-5d1ba05ce4b0941bde62100d
Organization: Department of the Interior
Data release for Middle Pleistocene formation of the Rio Grande Gorge, San Luis Valley, south-central Colorado and north-central New Mexico, USA: Process, timing, and downstream implications

This dataset includes tables of He-isotopic data used to calculate surface exposure ages for samples of basalt, and U- and Th-isotopic data used to calculate uranium-series age estimates (230Th/U method) and initial 234U/238U activity ratios for samples of pedogenic carbonate formed in soils on alluvial fans in the San Luis Valley, Colorado, USA.

Tags: colorado, conejos-county, costilla-county, geochronology, holocene, isotope-analysis, new-mexico, pleistocene, radiometric-dating, rio-grande-del-norte-national-monument, rio-grande-gorge, san-luis-valley, taos-county, usgs-5d1b7ff1e4b0941bde620e1e
Organization: Department of the Interior