AndreaBozzo/ceres-open-data-index huggingface dataset:
CoSMoS (Coastal Storm Modeling System) Central California v3.1 water-level projections: 20-year storm in San Francisco 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-francisco-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, u-s-geological-survey, usgs, usgs-5d84fa1ce4b0c4f70d083cfc, water-depth, waves, wind
Organization: Department of the Interior
The Lethality of Hot Water, Chlorine, and Ozone on Aquatic Invasive Species

This data describes the use of hot water, chlorine, and ozone as a potential lock treatment to prevent the spread of Aquatic Invasive Species (AIS) during boat transfers. Laboratory exposures where conducted to determine combinations of time, temperature, and chlorine or dissolved ozone induced complete morality to select AIS. Induced mortality from exposure to these variables are provided in this data set. This data set is closely related to toxicity data.

Tags: aquatic-invasive-species, chicago-area-waterway-system, great-lakes, mississippi-river-basin, non-physical-barrier, usgs-5d84f870e4b0c4f70d083a34
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 ocean-currents projections: 20-year storm in San Francisco 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, 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-francisco-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, u-s-geological-survey, usgs, usgs-5d84f5aee4b0c4f70d082fcd, water-depth, waves, wind
Organization: Department of the Interior
UPPER_PLAINS_REGION_supporting_attribution_data

The ancillary data contained in this data release include the results from statistical analyses that were done in support of attributing causal factors to significant trends in 50- and 75-year peak-flow records for select streamgages in the Upper Plains region. There are two Microsoft Excel workbooks included in this data releast. The workbook titled "PrecipitationAnalysisResults" contains the results from analyses relevant to identifying the relation between various precipitation characteristics and gages with significant 50-year and 75-year monotonic peak-flow trends. The workbook titled "TemperatureAnalysisResults" contains the results from analyses relevant to identifying the relation between various minimum and maximum monthly temperature characteristics and gages with significant 50-year and 75-year monotonic peak-flow trends.

Tags: datasets, flooding, peak-flow, trends, usgs-5d8a312ee4b0c4f70d0ae563
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 flood-hazard projections: 20-year storm in San Francisco 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-francisco-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, u-s-geological-survey, usgs, usgs-5d84f541e4b0c4f70d082d81, 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 Francisco 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-francisco-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, u-s-geological-survey, usgs, usgs-5d84f4e1e4b0c4f70d082c01, water-depth, waves, wind
Organization: Department of the Interior
Hydrogeologic Framework of the Treasure Valley and Surrounding Area, Idaho and Oregon; Hydrogeologic Framework Model Animation

A three-dimensional hydrogeologic framework model (3D HFM) of the westernmost western Snake River Plain (WSRP) aquifer system was prepared to represent the subsurface distribution and thickness of four hydrogeologic units. The primary source of data for the 3D HFM was lithologic data from a total of 291 well-driller reports. These data were then processed using Rockware Rockworks17 three-dimensional modeling software. This dataset consists of a MP4 video file showing the 3D HFM model as it is revealed by slices and then rotated. It is one of three related datasets.

Tags: ada-county, animations, boise, canyon-county, elmore-county, environment, gem-county, geology, geoscientificinformation, geospatial-datasets, groundwater, groundwater-flow, hydrogeology, hydrology, id, idaho, location, malheur-county, mathematical-modeling, natural-resource-assessment, natural-resource-exploration, or, oregon, payette-county, rocks-and-deposits, scientific-interpretation, snake-river-plain, treasure-valley, usa, usgs-5d83cfb4e4b0c4f70d06f113, water-resource-management, water-resources, well-drilling
Organization: Department of the Interior
Hydrogeologic Framework of the Treasure Valley and Surrounding Area, Idaho and Oregon; Hydrogeologic Framework Model

A three-dimensional hydrogeologic framework model (3D HFM) of the westernmost western Snake River Plain (WSRP) aquifer system was prepared to represent the subsurface distribution and thickness of four hydrogeologic units. The primary source of data for the 3D HFM was lithologic data from a total of 291 well-driller reports. These data were then processed using Rockware Rockworks17 three-dimensional modeling software. This dataset is an ASCII text file of the 3D HFM containing XYZ data. It is one of three related datasets.

Tags: ada-county, animations, boise, canyon-county, elmore-county, environment, gem-county, geology, geoscientificinformation, geospatial-datasets, groundwater, groundwater-flow, hydrogeology, hydrology, id, idaho, location, malheur-county, mathematical-modeling, natural-resource-assessment, natural-resource-exploration, or, oregon, payette-county, rocks-and-deposits, scientific-interpretation, snake-river-plain, treasure-valley, usa, usgs-5d83cb77e4b0c4f70d06eada, water-resource-management, water-resources, well-drilling
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 flood depth and duration projections: 1-year storm in  San Francisco 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-francisco-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, u-s-geological-survey, usgs, usgs-5d83c726e4b0c4f70d06e1cf, 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 Francisco 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-francisco-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, u-s-geological-survey, usgs, usgs-5d83c665e4b0c4f70d06df6f, water-depth, waves, wind
Organization: Department of the Interior
Annual California sea otter census - 2019 spring census summary

The spring 2019 mainland sea otter count began on May 1 and was completed by July 9. Overall viewing conditions this year were very good, better than those encountered during the 2018 spring census (View Score = 3.0 this year compared to 2.4 last year, where 0=poor, 1=fair, 2=good, 3=very good, and 4=excellent). The surface canopies of kelp (predominantly Macrocystis pyrifera) were qualitatively noted by observers to be much less than the seasonal normal in the central portions of the range (from Monterey to Cayucos) and about normal near both ends of the range. Sea otters along the mainland coast were surveyed from Pigeon Point in San Mateo County in the north, to Santa Barbara Harbor in Santa Barbara County in the south. A separate, ground-based survey of the sea otter population at San Nicolas Island was completed earlier in the spring (April 19 - 23) under good-very good survey viewing conditions (View Score = 2.5). Macrocystis canopies at San Nicolas Island were estimated to be below normal for the time of year.
These data support the following U.S. Geological Survey Data Series:

Tags: aerial-counts, biogeography, biota, california, central-california-coastal, distribution, environment, mammals, ocean, range, sea-otter-census, sea-otters, shore-counts, southern-california-coastal, usgs-5d83c013e4b0c4f70d06c9c0
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 ocean-currents projections: 1-year storm in San Francisco 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, 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-francisco-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, u-s-geological-survey, usgs, usgs-5d83bde8e4b0c4f70d06c5fa, 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 Francisco 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-francisco-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, u-s-geological-survey, usgs, usgs-5d83bd92e4b0c4f70d06c465, 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 San Francisco 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-francisco-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, u-s-geological-survey, usgs, usgs-5d83bd1de4b0c4f70d06c3fc, water-depth, waves, wind
Organization: Department of the Interior
Model input for Precipitation-Runoff Modeling System simulations in the Rio Grande Headwaters, Colorado, for water years 1980 through 2017

The U.S. Geological Survey Precipitation-Runoff Modeling System (PRMS) was used to assess the effects of changing climate and land disturbance on seasonal streamflow in the Rio Grande Headwaters (RGHW) region. Three applications of PRMS in the RGHW were used to simulate 1) baseline effects of climate (see RGHW-PRMS_baseline_input.zip), 2) effects of bark-beetle induced tree mortality (see RGHW-PRMS_BB_input.zip), and 3) effects of wildfire (see RGHW-PRMS_fire_input.zip), on components of the hydrologic cycle by hydrologic response unit (HRU) and subsequent seasonal streamflow runoff from April through September for water years 1980 through 2017. PRMS input files (control, climate-by-hru, data, parameter, dynamic parameter, and initial condition, where applicable) for each simulation are contained in this data release. Common input used in each simulation (climate_by_hru, static parameter, and data files) are contained in the RGHW-PRMS_common_input.zip file.

Tags: beartown-historical-gnis-id-187812-populated-place, creede-gnis-id-190444-populated-place, del-norte-gnis-id-190305-populated-place, effects-of-climate-change, fires, forest-ecosystems, goose-creek-gnis-id-190436-stream, land-use-and-land-cover, north-clear-creek-gnis-id-187055-stream, rio-grande-gnis-id-1385432-stream, snow-and-ice-cover, south-fork-gnis-id-203420-populated-place, south-fork-rio-grande-gnis-id-190279-stream, streamflow-modeling, usgs-5d83b217e4b0c4f70d06b2a9, water-supply-and-demand
Organization: Department of the Interior