AndreaBozzo/ceres-open-data-index huggingface dataset:
CoSMoS (Coastal Storm Modeling System) Central California v3.1 wave-hazard projections: average conditions in Santa Barbara 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, santa-barbara-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, usgs-5d1284e2e4b0941bde56eb2f, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 wave-hazard projections: 20-year storm in Santa Barbara 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, santa-barbara-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, usgs-5d12847fe4b0941bde56eb24, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 flood depth and duration projections: 100-year storm in Santa Barbara 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, santa-barbara-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, usgs-5d128417e4b0941bde56eb1a, 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 Santa Barbara 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, santa-barbara-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, usgs-5d1283dce4b0941bde56eb13, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 wave-hazard projections: 1-year storm in Santa Barbara 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, santa-barbara-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, usgs-5d12829be4b0941bde56eb03, 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 Santa Barbara 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, santa-barbara-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, usgs-5d12825ce4b0941bde56eafe, water-depth, waves, wind
Organization: Department of the Interior
Soil-Water-Balance (SWB) model archive used to simulate potential mean annual recharge in the Grand Canyon region, Arizona

This model archive contains the Soil-Water-Balance (SWB) model used to simulate potential mean annual recharge in the Grand Canyon region for 1981 through 2016. The simulated results are described in the associated U.S. Geological Survey Scientific Investigations Report 2022-xxxx. The model archive includes all the necessary files to document and run the SWB model and process the results as displayed in the accompanying report. The directories in the archive are presented each as a separate .zip file and include an "ancillary" directory, a "bin" directory, a "georef" directory, a "model directory, an "output" directory, and a "source" directory. There is a README file describing all the files and directories in the archive and information on how to run the model.

Tags: environment, geoscientificinformation, grand-canyon, groundwater, groundwater-recharge, groundwater-recharge-model, inlandwaters, numerical-modeling, swb, usa, usgs-5d1281b1e4b0941bde56eafb, usgssoilwaterbalancemodel, water-availability
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 ocean-currents projections: 1-year storm in Santa Barbara 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, santa-barbara-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, usgs-5d126a7be4b0941bde56ea42, 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 Santa Barbara 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, santa-barbara-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, usgs-5d126a23e4b0941bde56ea3d, water-depth, waves, wind
Organization: Department of the Interior
Ship navigation tracklines from a 2017 multibeam survey near Noyes Submarine Canyon, southeast Alaska

These metadata describe ship navigation tracklines from a 2017 multibeam echosounder survey near Noyo Submarine Canyon and Dixon Entrance, southeast Alaska. Data were collected by the National Oceanic and Atmospheric Administration (NOAA) aboard the NOAA survey vessel Fairweather and the data were post-processed by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) for PCMSC research projects. The tracklines are provided as a GIS shapefile.

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, distributions, dixon-entrance, field-observation, geoscientificinformation, geospatial-datasets, marine-geophysics, navigation, navigational-data, noyes-canyon, pacific-coastal-and-marine-science-center, pcmsc, polyline-shapefile, state-of-alaska, tracklines, u-s-geological-survey, usgs, usgs-5d126193e4b0941bde56e9df
Organization: Department of the Interior
Measured and Modeled Water Velocities in the Detroit River Near Belle Isle from 2014-2017

This data set contains water depths and velocities measured with an acoustic Doppler current profiler (ADCP) used to develop a three-dimensional computational fluid dynamics (CFD) model. The CFD model was used to inform fish spawning habitat remediation projects in the Detroit River near Belle Isle. Prior to construction of three fish spawning reefs in 2016, ADCP measurements were made throughout the study area in 2014 and 2016. ADCP surveys were repeated in 2017 following the construction of the reefs. Water velocity measurements made prior to reef construction were used to calibrate the CFD model predicting the flow field over the remediation sites during pre-construction conditions. Following calibration, the three reefs were virtually added to the computational domain by manipulating the bathymetry to reflect post-construction conditions and the CFD model was repeated with the post-construction bathymetry. Post-construction ADCP measurements were then used to evaluate the ability of the model to predict flow patterns with the virtual addition of the reefs. Water velocities corresponding to specific latitude, longitude, and depth coordinates, as well as shear stress and vorticity predictions from the CFD models with and without the reefs are also included.

Tags: acoustic-doppler-current-profiling, anthropogenic-rock-reef-substrate, belle-isle, detroit-river, hydrodynamics, inlandwaters, michigan, remediation, river, usgs-5d114b06e4b0941bde550793
Organization: Department of the Interior
Seedling and tree data from Sequoia National Park and Yosemite National Park

These tables include data from 25 long-term forest plots located in either Sequoia or Yosemite national park. Trees in these plots (established between 1982 and 2001) are censused annually for mortality and measured for diameter every 4 to 6 years. Plots were mostly 1 hectare (ha) in size (range 0.9 – 2.5 ha) and contained at least two 25 by 25 meter seedling sub-plots to monitor natural seedling recruitment. The largest plot, at 2.5 ha, included four such seedling sub-plots. Each sub-plot was divided into 5 by 5 meter quadrats. In almost all the plots these seedling sub-plots were established in 1999, but four plots (those with names starting with FF) were added to the study in 2002 and seedling data was only available from this date. 
Seedlings taller than 10 centimeters (which were at least 3 years old) were given numbered tags so that their survival and height class could be recorded individually. If there were more than 20 seedlings per quadrat of a species entering the greater-than-10 centimeters category, a sample of 20 was tagged, but this was unusual. Individual-level mortality and growth could be tracked for these seedlings. In each annual seedling census, the presence of the tagged seedling (live or dead) was recorded and it was assigned to a height category (10-25 cm, 25-50 cm, 50-75 cm, 75-100 cm, and 100-137 cm). Those that grew to 137 centimeters (tall enough to record a diameter-at-breast height (DBH)) were re-tagged as trees.
This release contains 2 CSV and 3 TXT files: TaggedSdl.txt, PlotInfogeneral.txt, quadrat_precise.csv, treedata.csv, and treeyears.txt. 

Tags: biota, field-inventory-and-monitoring, forest-demography, forest-ecoystems, seedling-recruitment, sequoia-national-park, usgs-5d114632e4b0941bde55077e, yosemite-national-park
Organization: Department of the Interior
Organic Analysis of Oilfield Produced Water from the Williston Basin, North Dakota

The organic composition of produced waters (flowback and formation waters) from the Bakken Formation and the Three Forks Formation in the Williston Basin, North Dakota were examined in this study in order to aid in the remediation of surface contamination due to spills during transport and help develop treatment methods for recycling. Twelve produced water samples were collected from wells in the Bakken and Three Forks Formations at the well head and analyzed for non-purgable dissolved organic carbon (NPDOC), acetate, and extractable hydrocarbons. NPDOC and acetate concentrations from sampled wells from ranged from 33-190 milligrams per liter (mg/L) and 16-40 mg/L, respectively. Concentrations of individual extractable hydrocarbon compounds ranged from less than 1 to greater than 450 micrograms per liter (µg/L), and included polycyclic aromatic hydrocarbons (PAHs), phenolic compounds, glycol ethers, and cyclic ketones.

Tags: bakken-formation, devonian-period, dissolved-organic-compounds, hydraulic-fracturing, mass-spectroscopy, mississipian-subperiod, three-forks-formation, usgs-5d110923e4b0941bde5503c8, waste-treatment-and-disposal, water-chemistry
Organization: Department of the Interior
Great Dismal Swamp field measurements for aboveground and belowground biomass

Plot-level field data were collected in the summer of 2014 to estimate aboveground and belowground biomass in the Great Dismal Swamp National Wildlife Refuge and Dismal Swamp State Park in North Carolina and Virginia.  Data were collected at 85 plots.  The location of the center of each plot was recorded with a Trimble ProXH global positioning system (GPS) and differentially corrected.  Data files included 1: GDS_plots.csv, 2. GDS_FWD.csv, 3. GDS_LWD.csv, 4. GDS_Shrubs.csv, 5. GDS_Trees.csv, and 6. GDS_plot_summaries.csv.  The data contained in GDS_plot_summaries.csv were calculated from the GDS_plots.csv, GDS_FWD.csv, GDS_LWD.csv, GDS_Shrubs.csv, GDS_Trees.csv files using the R statistical software environment (R Core Team, 2019) and code in GDS_AGB_Summaries.R.
R Core Team, 2019, R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, https://www.R-project.org

Tags: biomass, carbon-sequestration, cover, dismal-swamp, duff, forest-ecosystems, great-dismal-swamp, height, herbaceous, litter, north-carolina, peat, shrub, tree, united-states, usgs-5d10fa9de4b0941bde5502e6, vegetation, virginia
Organization: Department of the Interior
Wave observations from bottom-mounted pressure sensors in Skagit Bay, Washington from Dec 2017 to Feb 2018

RBRduo pressure and temperature sensors (early 2015 generation), mounted on aluminum frames, were moored in shallow (&lt; 6 m) water depths in Skagit Bay to capture wave heights and periods. Continuous pressure fluctuations are transformed into surface-wave observations of wave heights, periods, and frequency spectra at 30-minute intervals.

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, distributions, field-inventory-and-monitoring, geoscientificinformation, ocean-sciences, ocean-temperature, ocean-waves, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-oceanography, skagit-bay, skagit-county, skagit-river, state-of-washington, u-s-geological-survey, usgs, usgs-5d2914e0e4b038fabe1b3264, water-column-features, waves, whatcom-county
Organization: Department of the Interior
Radiogenic heat content for selected cores recovered during T-3 Ice Island heat flow operations in the Arctic Ocean, 1963-74 (ver. 1.1, December 2022)

The T-3 (Fletcher's) Ice Island in the Arctic Ocean was the site of a scientific research station re-established by the Naval Arctic Research Laboratory starting in 1962. Starting in 1963, the USGS acquired marine heat flow data and coincident sediment cores at sites in Canada Basin, Nautilus Basin, Mendeleev Ridge, and Alpha Ridge as the ice island drifted in the Amerasian Basin. Radiogenic heat content in sediments can be an important contributor to measured heat flow.  The USGS therefore measured radiogenic heat content in sediments recovered at 26 of the attempted/successful heat flow measurement sites using the laboratory methods available at the time.  This dataset reports the measured radiogenic heat values and converts them to modern (SI) units.

Tags: alpha-ridge, amerasian-basin, arctic, arctic-ocean, canada-basin, chukchi-plataeu, cmhrp, coastal-and-marine-hazards-and-resources-program, field-monitoring-stations, fletchers-ice-island, geoscientificinformation, heat-flow-earth, lamont-doherty-earth-observatory, lamont-geological-observatory, location, marine-geology, marine-heat-flow, mendeleev-ridge, nautilus-basin, navigational-data, oceans, radiogenic-heat-content, t-3-ice-island, u-s-geological-survey, usgs, usgs-5d10eb70e4b0941bde55021a, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior