AndreaBozzo/ceres-open-data-index huggingface dataset:
Borehole hydrogeologic-unit top-surface altitudes, aquifer hydraulic properties, and groundwater-sample chloride-concentration data from 1906 through 2016 for the Virginia Eastern Shore

A hydrogeologic framework was developed by USGS during 2016-19 to describe the groundwater system on the Virginia Eastern Shore. This USGS data release contains text files of (1) interpreted borehole hydrogeologic-unit top-surface altitudes, (2) summary values of previously documented estimates of aquifer hydraulic properties, and (3) groundwater-sample chloride concentrations and well summary statistics. In addition are shapefiles of altitude contours for 10 hydrogeologic-unit top surfaces, and for the groundwater 250 milligrams per liter chloride-concentration surface.
This data release supports the following publication:
McFarland, E.R., and Beach, T.A., 2019, Hydrogeologic framework of the Virginia Eastern Shore: U.S. Geological Survey Scientific Investigations Report 2019-5093, 26 p., 13 pl., https://doi.org/10.3133/sir20195093.

Tags: accomack-county-virginia, aquifers, atlantic-coastal-plain-physiographic-province, chloride, confining-units, delaware, delmarva-peninsula, groundwater, groundwater-flow, hydraulic-properties, hydrogeologic-framework, maryland, northampton-county-virginia, paleochannels, saint-marys-confining-unit, saltwater-intrusion, saltwater-movement, storativity, transmissivity, usgs-5d13708fe4b0941bde57785f, virginia, virginia-eastern-shore, washington-dc, water-resource-management, water-supply, water-supply-and-demand, yorktown-eastover-aquifer-system
Organization: Department of the Interior
Basin Characteristic Rasters for Puerto Rico StreamStats, 2021

In cooperation with the Puerto Rico Environmental Quality Board, the U.S. Geological Survey (USGS) calculated over 40 different basin characteristics as part of preparing the Puerto Rico StreamStats application. These data were used to update the peak flow and low flow regression equations for Puerto Rico. These datasets are raster representations of various environmental, geological, and land use attributes within the Puerto Rico StreamStats 2020 study area, and will be served in the Puerto Rico StreamStats 2020 application to describe delineated watersheds. The StreamStats application provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate drainage areas, retrieve basin characteristics and estimates of flow statistics, and more.

Tags: atmosphere, bedrock-geologic-units, climatology, climatologymeteorologyatmosphere, environment, evaporation, geology, geoscientificinformation, hydrology, imagerybasemapsearthcover, land-surface-characteristics, land-use-and-land-cover, meteorology, precipitation, precipitation-atmospheric, precipitation-frequency, puerto-rico, runoff, soil-horizons, soil-sciences, storms, transpiration, u-s-possessions-and-associated-areas, usgs-5d1362f5e4b0941bde5711e0
Organization: Department of the Interior
Terrestrial Laser Scanning Data from the Confluence of the South Yuba River and Humbug Creek, Nevada County, California, 2011-2013

High-resolution, terrestrial laser scanning, also known as ground-based lidar (light detection and ranging), was used to quantify the volume of mercury-contaminated sediment eroded from an outcrop of historical placer-mining debris at the confluence of the South Yuba River and Humbug Creek in the Sierra Nevada mountains, about 17 kilometers northeast of Grass Valley, California. The outcrop could not be mapped non-destructively or in sufficient detail by traditional surveying techniques. Terrestrial laser scanning was used to produce centimeter-scale, three-dimensional maps of the complex outcrop surface at the study site, which was approximately 70 meters long, 30 meters wide and 20 meters high. The outcrop surface was composed of an upper erosional area (cliff area) and a lower depositional area (colluvial slope). The study site was surveyed four times in 2 years (December 15, 2011; October 25, 2012; January 4, 2013; and November 22, 2013). For each survey, the upper erosional area and a lower depositional area were isolated and separated so that volumetric comparisons could be made.

Tags: humbug-creek, mercury-contaminated-sediment, nevada-county-california, sediment-erosion, south-yuba-river, terrestrial-laser-scanning-tls, usgs-5d129ce0e4b0941bde56ecd0
Organization: Department of the Interior
Navigation tracklines from a 2015 multibeam survey near Cross Sound, southeast Alaska, during field activity 2015-629-FA

These metadata describe navigation tracklines from a 2015 multibeam echosounder survey near Cross Sound, southeast Alaska. Data were collected by the U.S. Geological Survey (USGS) and the Alaska Department of Fish and Game (ADFG) aboard the ADFG R/V Solstice during USGS field activity 2015-629-FA. The trackline data are provided as a GIS shapefile.

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, cross-sound, distributions, field-observation, geoscientificinformation, geospatial-datasets, graves-harbor, icy-point, lisianski-inlet, marine-geophysics, navigation, navigational-data, pacific-coastal-and-marine-science-center, pcmsc, polyline-shapefile, queen-charlotte-fault, state-of-alaska, tracklines, u-s-geological-survey, usgs, usgs-5d1292f2e4b0941bde56ebaa, yakobi-sea-valley
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 ocean-currents projections: average conditions 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-5d12895ae4b0941bde56eb7d, 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 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-5d128920e4b0941bde56eb76, water-depth, waves, wind
Organization: Department of the Interior
Transgressive Contours--Punta Gorda to Point Arena, California

This part of DS 781 presents data for the transgressive contours of the Punta Gorda to Point Arena, California, region. The vector data file is included in the "TransgressiveContours_PuntaGordaToPointArena.zip," which is accessible from https://doi.org/10.5066/P9PNNI9H.
As part of the USGS's California State Waters Mapping Project, a 50-m grid of sediment thickness for the seafloor within the 3-nautical mile limit between Punta Gorda and Point Arena was generated from seismic-reflection data collected between 2010 and 2012, and supplemented with geologic structure (fault) information following the methodology of Wong (2012). Water depths determined from bathymetry data were added to the sediment thickness data to provide information on the depth to base of the post-LGM unit.
Reference Cited: Wong, F. L., Phillips, E.L., Johnson, S.Y., and Sliter, R.W., 2012, Modeling of depth to base of Last Glacial Maximum and seafloor sediment thickness for the California State Waters Map Series, eastern Santa Barbara Channel, California: U.S. Geological Survey Open-File Report 2012-1161, 16 p. (available at https://pubs.usgs.gov/of/2012/1161/).

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, delgada-canyon, distributions, environment, fort-bragg, geoscientificinformation, geospatial-datasets, maps-and-atlases, marine-geology, mendocino, noyo-canyon, oceans, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, physical-habitats-and-geomorphology, point-arena, point-delgada, punta-gorda, sediment-deposition, seismic-reflection-methods, seismic-reflection-profiling, shelter-cove, spanish-canyon, state-of-california, stratigraphic-thickness, u-s-geological-survey, usgs, usgs-5d1288efe4b0941bde56eb71
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 ocean-currents projections: 20-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-5d1288e3e4b0941bde56eb6d, water-depth, waves, wind
Organization: Department of the Interior
Waihou Bat Guano OTU Matrix of Individuals Epp Primer 2016 to 2017

Habitat use, diet, prey availability and foraging ecology of the endangered Hawaiian hoary bat (Lasiurus cinereus semotus, Vespertilionidae), was examined in the east Maui region inclusive of the Waihou Mitigation Area, Pu‘u Makua Restoration Area and the wind power facility operated by Auwahi Wind Energy, LLC. Research funding to study bat ecology was provided by Auwahi Wind Energy, LLC in order to fulfill requirements for mitigating bat fatalities under it's approved incidental take permit. This study included the first genetic analysis of Hawaiian hoary bat diet items, and broadly confirms the major arthropod orders (Coleoptera, Lepidoptera, Diptera, Hemiptera, and Blattodea) found in previous microscopy-based studies of guano samples. This dataset describes the representative DNA sequences of operational taxonomic units (OTU) of prey items found in bat guano, derived with the Epp primer and it's count sequence reads in each bat sample.

Tags: biota, dietary-analysis, epp, guano, hawaii-usa, hawaiian-hoary-bat, metabarcoding, usgs-5d2524d2e4b0941bde64fe16, waihou-maui
Organization: Department of the Interior
Sediment Thickness--Punta Gorda to Point Arena, California

This part of DS 781 presents data for the sediment-thickness map of the Punta Gorda to Point Arena, California, region. The raster data file is included in the "SedimentThickness_PuntaGordaToPointArena.zip," which is accessible from https://doi.org/10.5066/P9PNNI9H.
As part of the USGS's California State Waters Mapping Project, a 50-m grid of sediment thickness for the seafloor within the 3-nautical mile limit between Point Sur and Point Arguello was generated from seismic-reflection data collected between 2010 and 2012, and supplemented with geologic structure (fault) information following the methodology of Wong (2012).
Reference Cited: Wong, F. L., Phillips, E.L., Johnson, S.Y., and Sliter, R.W., 2012, Modeling of depth to base of Last Glacial Maximum and seafloor sediment thickness for the California State Waters Map Series, eastern Santa Barbara Channel, California: U.S. Geological Survey Open-File Report 2012-1161, 16 p. (available at https://pubs.usgs.gov/of/2012/1161/).

Tags: cmhrp, coastal-marine-hazards-and-resources-program, delgada-canyon, distributions, environment, fort-bragg, geoscientificinformation, geospatial-datasets, maps-and-atlases, marine-geology, mendocino, noyo-canyon, oceans, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, physical-habitats-and-geomorphology, point-arena, point-delgada, punta-gorda, sediment-deposition, seismic-reflection-methods, seismic-reflection-profiling, shelter-cove, spanish-canyon, state-of-california, stratigraphic-thickness, u-s-geological-survey, usgs, usgs-5d1288b0e4b0941bde56eb68
Organization: Department of the Interior
Isopachs--Punta Gorda to Point Arena, California

This part of DS 781 presents data for the isopachs of the Punta Gorda to Point Arena, California, region. The vector data file is included in the "Isopachs_PuntaGordaToPointArena.zip," which is accessible from https://doi.org/10.5066/P9PNNI9H.
As part of the USGS's California State Waters Mapping Project, a 50-m grid of sediment thickness for the seafloor within the 3-nautical mile limit between Punta Gorda and Point Arena was generated from seismic-reflection data collected between 2010 and 2012, and supplemented with geologic structure (fault) information following the methodology of Wong (2012).
Reference Cited: Wong, F. L., Phillips, E.L., Johnson, S.Y., and Sliter, R.W., 2012, Modeling of depth to base of Last Glacial Maximum and seafloor sediment thickness for the California State Waters Map Series, eastern Santa Barbara Channel, California: U.S. Geological Survey Open-File Report 2012-1161, 16 p. (available at https://pubs.usgs.gov/of/2012/1161/).

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, delgada-canyon, distributions, environment, fort-bragg, geoscientificinformation, geospatial-datasets, maps-and-atlases, marine-geology, mendocino, noyo-canyon, oceans, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, physical-habitats-and-geomorphology, point-arena, point-delgada, punta-gorda, sediment-deposition, sediment-isopach, sediment-thickness, seismic-reflection-methods, seismic-reflection-profiling, shelter-cove, spanish-canyon, state-of-california, stratigraphic-thickness, u-s-geological-survey, usgs, usgs-5d128898e4b0941bde56eb62
Organization: Department of the Interior
Faults--Punta Gorda to Point Arena, California

This part of DS 781 presents data for the faults of the Punta Gorda to Point Arena, California, region. The vector data file is included in the "Faults_PuntaGordaToPointArena.zip," which is accessible from https://doi.org/10.5066/P9PNNI9H.
Faults in the Punta Gorda and Point Arena region are identified on seismic-reflection data based on abrupt truncation or warping of reflections and (or) juxtaposition of reflection panels with different seismic parameters such as reflection presence, amplitude, frequency, geometry, continuity, and vertical sequence. Faults were primarily mapped by interpretation of seismic reflection profile data collected by the U.S. Geological Survey between 2010 and 2012.

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, delgada-canyon, distributions, environment, fault, faulting-geologic, fort-bragg, geologic-structure, geoscientificinformation, geospatial-datasets, maps-and-atlases, marine-geology, mendocino, noyo-canyon, oceans, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, physical-habitats-and-geomorphology, point-arena, point-delgada, punta-gorda, sea-floor-characteristics, seabed, shelter-cove, spanish-canyon, state-of-california, structural-geology, u-s-geological-survey, usgs, usgs-5d128865e4b0941bde56eb5d
Organization: Department of the Interior
Depth to Transition--Punta Gorda to Point Arena, California

This part of DS 781 presents data for the depth-to-transition map of the Punta Gorda to Point Arena, California, region. The raster data file is included in the "DepthToTransition_PuntaGordaToPointArena.zip," which is accessible from https://doi.org/10.5066/P9PNNI9H.
As part of the USGS's California State Waters Mapping Project, a 50-m grid of sediment thickness for the seafloor within the 3-nautical mile limit between Punta Gorda and Point Arena was generated from seismic-reflection data collected between 2010 and 2012, and supplemented with geologic structure (fault) information following the methodology of Wong (2012). Water depths determined from bathymetry data were added to the sediment thickness data to provide information on the depth to base of the post-LGM unit.
Reference Cited: Wong, F. L., Phillips, E.L., Johnson, S.Y., and Sliter, R.W., 2012, Modeling of depth to base of Last Glacial Maximum and seafloor sediment thickness for the California State Waters Map Series, eastern Santa Barbara Channel, California: U.S. Geological Survey Open-File Report 2012-1161, 16 p. (available at https://pubs.usgs.gov/of/2012/1161/).

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, delgada-canyon, distributions, environment, fort-bragg, geoscientificinformation, geospatial-datasets, maps-and-atlases, marine-geology, mendocino, noyo-canyon, oceans, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, physical-habitats-and-geomorphology, point-arena, point-delgada, punta-gorda, sediment-deposition, seismic-reflection-methods, seismic-reflection-profiling, shelter-cove, spanish-canyon, state-of-california, stratigraphic-thickness, u-s-geological-survey, usgs, usgs-5d12884de4b0941bde56eb59
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 water-level projections: 100-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-5d1285a4e4b0941bde56eb41, 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 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-5d128527e4b0941bde56eb35, water-depth, waves, wind
Organization: Department of the Interior