AndreaBozzo/ceres-open-data-index huggingface dataset:
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 wave-hazard projections: average conditions in Orange County

Model-derived significant wave height (in meters) for the given storm condition and sea-level rise (SLR) scenario.
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. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/57f1d4f3e4b0bc0bebfee139?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception. Several changes from Phase 1 projections are reflected in many areas; please read the Summary of methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, climate-change, climatologymeteorologyatmosphere, coastal-erosion, erosion, extreme-weather, floods, hazards-planning, ocean-waves, ocean-winds, oceans, orange-county, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, southern-california-bight, state-of-california, storm-surge, storms, usgs-5953f687e4b062508e3c7c49, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 wave-hazard projections: 100-year storm in Orange County

Model-derived significant wave height (in meters) for the given storm condition and sea-level rise (SLR) scenario.
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. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/57f1d4f3e4b0bc0bebfee139?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception. Several changes from Phase 1 projections are reflected in many areas; please read the Summary of methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, climate-change, climatologymeteorologyatmosphere, coastal-erosion, erosion, extreme-weather, floods, hazards-planning, ocean-waves, ocean-winds, oceans, orange-county, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, southern-california-bight, state-of-california, storm-surge, storms, usgs-5953f666e4b062508e3c7c44, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 flood-hazard projections: average conditions in Orange County

Geographic extent of projected coastal flooding, low-lying vulnerable areas, and maxium/minimum flood potential (flood uncertainty) associated with the sea-level rise 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. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/57f1d4f3e4b0bc0bebfee139?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception. Several changes from Phase 1 projections are reflected in many areas; please read the Summary of methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, climate-change, climatologymeteorologyatmosphere, coastal-erosion, erosion, extreme-weather, floods, hazards-planning, ocean-waves, ocean-winds, oceans, orange-county, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, southern-california-bight, state-of-california, storm-surge, storms, usgs-5953f60ce4b062508e3c7c37, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 flood-hazard projections: 100-year storm in Orange County

Geographic extent of projected coastal flooding, low-lying vulnerable areas, and maxium/minimum flood potential (flood uncertainty) associated with the sea-level rise 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. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/57f1d4f3e4b0bc0bebfee139?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception. Several changes from Phase 1 projections are reflected in many areas; please read the Summary of methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, climate-change, climatologymeteorologyatmosphere, coastal-erosion, erosion, extreme-weather, floods, hazards-planning, ocean-waves, ocean-winds, oceans, orange-county, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, southern-california-bight, state-of-california, storm-surge, storms, usgs-5953f5eae4b062508e3c7c30, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 flood-hazard depth and duration projections: average conditions in Orange County

Maximum depth of flooding surface (in cm) in the region landward of the present day shoreline that is inundated for the storm condition and sea-level rise (SLR) scenario indicated. Note: Duration datasets may have occasional gaps in open-coast sections.
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. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/57f1d4f3e4b0bc0bebfee139?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception. Several changes from Phase 1 projections are reflected in many areas; please read the Summary of methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, climate-change, climatologymeteorologyatmosphere, coastal-erosion, erosion, extreme-weather, floods, hazards-planning, ocean-waves, ocean-winds, oceans, orange-county, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, southern-california-bight, state-of-california, storm-surge, storms, usgs-5953f55ee4b062508e3c7c20, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 flood-hazard depth and duration projections: 100-year storm in Orange County

Maximum depth of flooding surface (in cm) in the region landward of the present day shoreline that is inundated for the storm condition and sea-level rise (SLR) scenario indicated. Note: Duration datasets may have occasional gaps in open-coast sections.
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. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/57f1d4f3e4b0bc0bebfee139?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception. Several changes from Phase 1 projections are reflected in many areas; please read the Summary of methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, climate-change, climatologymeteorologyatmosphere, coastal-erosion, erosion, extreme-weather, floods, hazards-planning, ocean-waves, ocean-winds, oceans, orange-county, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, southern-california-bight, state-of-california, storm-surge, storms, usgs-5953f53be4b062508e3c7c16, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 flood-hazard depth and duration projections: 20-year storm in Orange County

Maximum depth of flooding surface (in cm) in the region landward of the present day shoreline that is inundated for the storm condition and sea-level rise (SLR) scenario indicated. Note: Duration datasets may have occasional gaps in open-coast sections.
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. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/57f1d4f3e4b0bc0bebfee139?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception. Several changes from Phase 1 projections are reflected in many areas; please read the Summary of methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, climate-change, climatologymeteorologyatmosphere, coastal-erosion, erosion, extreme-weather, floods, hazards-planning, ocean-waves, ocean-winds, oceans, orange-county, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, southern-california-bight, state-of-california, storm-surge, storms, usgs-5953f50de4b062508e3c7c10, water-depth, waves, wind
Organization: Department of the Interior
Climate, Wildfire, and Erosion Data, Western US

These data were used to examine how post-fire sedimentation might change in western USA watersheds with future fire from the decade of 2001-10 through 2041-50. The data include previously published projections (Hawbaker and Zhu, 2012a, b) of areas burned by future wildfires for several climate change scenarios and general circulation models (GCMs) that we summarized for 471 watersheds of the western USA. The data also include previously published predictions (Miller et al., 2011) of first year post-fire hillslope soil erosion from GeoWEPP that we summarized for 471 watersheds of the western USA. We synthesized these summarized data in order to project sediment yield from future fires for 471 watersheds through the year 2050 at the hydrologic unit 8 (HUC8) scale. The detailed methods, results, and original data sources (i.e.: Hawbaker and Zhu, 2012a, b; Miller et al., 2011) were reported in the manuscript.

Tags: a1b-emission-scenario, a2-emission-scenario, annual-post-fire-sediment-yield, arizona, average-burned-area, b1-emission-scenario, burned-area-projections, california, climate-change, colorado, decadal-summaries, erosion, first-year-post-fire, future-post-fire-sediment-yield, future-wildfires, gcm, general-circulation-model, gis-based-erosion-model, hillslope-soil-erosion-rates, huc, huc8, hydrologic-unit-code, idaho, montana, nevada, new-mexico, oregon, post-fire, projected-watershed-sediment-yield, sediment, sediment-yield, simulations, usgs-59541714e4b062508e3c7d98, utah, washington, watershed-sediment-yield-estimates, watersheds, western-us, wildfire-perimeters, wildfires
Organization: Department of the Interior
Evapotranspiration, Groundwater, and Unsaturated-Zone Data, Amargosa Desert, Nye County, Nevada, 2011-13

Abstract from SIR 2017-5079: This report documents methodology and results of a study to evaluate groundwater discharge by evapotranspiration (GWET) in sparsely vegetated areas of Amargosa Desert and improve understanding of hydrologic-continuum processes controlling groundwater discharge. Evapotranspiration and GWET rates were computed and characterized at three sites over 2 years using a combination of micrometeorological, unsaturated zone, and stable-isotope measurements. One site (Amargosa Flat Shallow [AFS]) was in a sparse and isolated area of saltgrass (Distichlis spicata) where the depth to groundwater was 3.8 meters (m). The second site (Amargosa Flat Deep [AFD]) was in a sparse cover of predominantly shadscale (Atriplex confertifolia) where the depth to groundwater was 5.3 m. The third site (Amargosa Desert Research Site [ADRS]), selected as a control site where GWET is assumed to be zero, was located in sparse vegetation dominated by creosote bush (Larrea tridentata) where the depth to groundwater was 110 m. 
Results indicated that capillary rise brought groundwater to within 0.9 m (at AFS) and 3 m (at AFD) of land surface, and that GWET rates were largely controlled by the slow but relatively persistent upward flow of water through the unsaturated zone in response to atmospheric-evaporative demands. Greater GWET at AFS (50 ± 20 millimeters per year [mm/yr]) than at AFD (16 ± 15 mm/yr) corresponded with its shallower depth to the capillary fringe and constantly higher soil-water content. The stable-isotope dataset for hydrogen (δ2H) and oxygen (δ18O) illustrated a broad range of plant-water-uptake scenarios. The AFS saltgrass and AFD shadscale responded to changing environmental conditions and their opportunistic water use included the time- and depth-variable uptake of unsaturated-zone water derived from a combination of groundwater and precipitation. These results can be used to estimate GWET in other areas of Amargosa Desert where hydrologic conditions are similar.

Tags: amargosa-desert, amargosa-flat, evapotranspiration, groundwater-levels, nevada, nye-county, soil-chemical-properties, soil-hydraulic-properties, soil-physical-properties, unsaturated-zone, usgs-5953eccde4b062508e3c7bed
Organization: Department of the Interior
Pressure Transducer Location Data of the South Platte River near Fort Morgan, Colorado, 2017

The USGS Colorado Water Science Center, in cooperation with the Colorado Water Conservation Board, collected hydraulic data for the South Platte River for areas adjacent to Fort Morgan, Colo., based on the USGS streamgage 06759500 South Platte River at Fort Morgan, CO. The hydraulic data include survey point data for 54 cross sections and 10 pressure transducers, which are used to record the river stage beginning at Morgan County Road 16 and extending downstream to Morgan County Road 20.5 near Fort Morgan, Colo. The cross-section and pressure transducer location data were collected using real-time kinematic Global Navigation Satellite Systems by USGS personnel from February 15, 2017, through April 18, 2017. These data can be used to develop inundation maps, which could be available to emergency personnel, public officials, and the general public using an online public mapping application at the USGS Flood Inundation Mapper website (http://water.usgs.gov/osw/flood_inundation/), which contains flood inundation map libraries from throughout the country created by the USGS.

Tags: colorado, flood, flood-inundation-map, fort-morgan, hazard, hydraulic-modeling, morgan-county, south-platte-river, streamgage, usgs-5953bedde4b062508e3c7b76
Organization: Department of the Interior
Cross-Section Data of the South Platte River near Fort Morgan, Colorado, 2017

The USGS Colorado Water Science Center, in cooperation with the Colorado Water Conservation Board, collected hydraulic data for the South Platte River for areas adjacent to Fort Morgan, Colo., based on the USGS streamgage 06759500 South Platte River at Fort Morgan, CO. The hydraulic data include survey point data for 54 cross sections and 10 pressure transducers, which are used to record the river stage beginning at Morgan County Road 16 and extending downstream to Morgan County Road 20.5 near Fort Morgan, Colo. The cross-section and pressure transducer location data were collected using real-time kinematic Global Navigation Satellite Systems by USGS personnel from February 15, 2017, through April 18, 2017. These data can be used to develop inundation maps, which could be available to emergency personnel, public officials, and the general public using an online public mapping application at the USGS Flood Inundation Mapper website (http://water.usgs.gov/osw/flood_inundation/), which contains flood inundation map libraries from throughout the country created by the USGS.

Tags: colorado, flood, flood-inundation-map, fort-morgan, hazard, hydraulic-modeling, morgan-county, south-platte-river, streamgage, usgs-5953be36e4b062508e3c7b72
Organization: Department of the Interior
Coastal Groundwater Chemical Data from the North and South Shores of Long Island, New York

Groundwater data were collected in the spring and fall of 2008 from three sites representing different geological settings and biogeochemical conditions within the surficial glacial aquifer of Long Island, NY. Investigations were designed to examine the extent to which average vadose zone thickness in contributing watersheds controlled biogeochemical conditions and processes, including dissolved oxygen concentration (DO), oxidation-reduction potential (Eh), dissolved organic carbon concentration (DOC), and microbial dinitrogen (N2) production. Greatest N2 production was observed at the south shore of Long Island, which is characterized by a thin vadose zone, low DO and Eh, and relatively high DOC. Limited N2 production occurred at the north shore of Long Island, which is characterized by a thick vadose zone, higher DO, higher Eh, and lower DOC. Our results show that vadose zone thickness exerts an important control on the extent of microbial N2 production in aquifers that lack a significant supply of sediment-bound reducing potential. We interpret heterotrophic denitrification to be the primary driver of N2 production in the present study, while acknowledging that anaerobic ammonium oxidation (anammox) likely plays an unquantified role as well.

Tags: climate-change, denitrification, dissolved-organic-carbon, dissolved-oxygen, environment, excess-air, geoscientificinformation, great-south-bay, groundwater, groundwater-discharge, hydrogeology, long-island-ny-united-states, long-island-sound, manhasset-bay, membrane-inlet-mass-spectrometry-mims, nitrate, northport-harbor, northport-ny-united-states, oxygen-content-water, patchogue-ny-united-states, port-washington-ny-united-states, recharge-temperature, salinity, tritium-analysis, usgs-5953a36de4b062508e3c7b5a, vadose-zone-thickness, water-chemistry, water-ph
Organization: Department of the Interior
Airborne imaging spectrometer data collected for characterizing mineral resources near Nabesna, Alaska, 2014: CAL03

Imaging spectrometer (hyperspectral) data were collected using the HyMap™ sensor over the Nabesna Area of Interest (AOI) in the eastern Alaska Range, July 14 and July 21, 2014. The primary study area was a remote part of the eastern Alaska Range where porphyry deposits are exposed. The HyMap imaging spectrometer measured reflected sunlight in 126 narrow channels spanning the 0.4 to 2.5 micron wavelength region of the electromagnetic spectrum. The data were collected at a nominal 6-m ground-instantaneous field of view (GIFOV). A total 1,900 square kilometers were collected. This data release provides flight line data for the survey and a report describing the dataset and procedures

Tags: alaska, alaska-range, bond-creek, canada, chisana-river, envi, environment-for-visualizing-images, hymap, hyperspectral-imaging, imaging-spectroscopy, infrared-imaging, mineral-resources-program, mrp, nabesna, nabesna-glacier, nabesna-river, nutzotin-mountains, orange-hill, remote-sensing, shortwave-infrared, spectroscopy, swir, usgs-5953463de4b062508e3c7a29, visible-light-imaging, visible-near-infrared, vnir, wrangell-mountains, wrangell-saint-elias-national-park, wrangell-saint-elias-national-preserve, yukon-territory
Organization: Department of the Interior