AndreaBozzo/ceres-open-data-index huggingface dataset:
Sidescan-sonar Image of the Eastern Portion of the John Day Reservoir - Washington State Plane South

A two-week field operation was conducted in the John Day Reservoir on the Columbia River to image the floor of the pool, to measure the distribution and thickness of post-impoundment sediment, and to verify these geophysical data with video photography and bottom sediment samples. The field program was a cooperative effort between the USGS Coastal and Marine Geology Team of the Geologic Division and the USGS Columbia River Research Laboratory of the Biological Resources Division. The data collection was completed aboard the R/V ESTERO during September 13-27, 2000. The interest in sediment accumulation in the reservoir was two-fold. First, it was unknown how effective this reservoir was as a sediment trap to material that otherwise would have been transported down-river to the estuary and eventually to the ocean. The recent erosion of beaches along the Washington coast has been attributed to a decreased contribution of sediment from the Columbia River to the coastal system due to the damming of the river. Second, sediment accumulation on the floors of reservoirs along the Columbia River has been suggested to be diminishing salmon spawning grounds. The extent of changes in habitat since construction of the John Day Dam, however, had not been documented. Common data sets were needed to address both of these questions, and for these reasons this geophysical and sampling program was undertaken.

Tags: cmgp, coastal-and-marine-geology-program, columbia-river, geophysics, geospatial-datasets, image-mosaics, images, john-day-dam, john-day-reservoir, lake-umatilla, lakebed-acoustic-reflectivity, mcnary-dam, mosaic, north-america, of-2004-1014, open-file-report, oregon, reservoir, sidescan, sidescan-sonar, tiff, u-s-geological-survey, united-states, usgs, usgs-5e3f305f-6d06-4c0e-a251-8c352a67fa85, washington, woods-hole-science-center
Organization: Department of the Interior
Passive seismic data collected along headwater stream corridors in Shenandoah National Park in 2016 - 2020

In July 2016, July 2019, and March 2020, 318 seismic recordings were acquired at  locations within Shenandoah National Park, Virginia, using MOHO Tromino Model TEP-3C three-component seismometers to assess depth to bedrock using the HVSR method. This method requires a measurement of estimate of shear wave velocity, which depends on the regolith sediment composition and density, for the conversion of measured resonance frequency to a depth to bedrock. Shear wave velocities were calculated for sediment in Shenandoah NP at locations where regolith thickness is known (e.g. at documented boreholes). The locations in this study were generally selected to characterize the depths to bedrock adjacent to streams monitored for coupled temperature and flow dynamics related to several ongoing USGS projects.

Tags: headwater-streams, hvsr, hydrogeology, regolith-thickness, usgs-5e3dd75ee4b0edb47be3d6c8
Organization: Department of the Interior
Magnetotelluric data from San Pablo Bay, California, station sp10

This dataset consists of 14 magnetotelluric (MT) stations collected in 2015 near San Pablo Bay, California along a east-northeast profile. The U.S. Geological Survey acquired these data understand fault geometry of the Hayward Fault and the Rodgers Creek Fault.

Tags: apparent-resistivity, california, cenozoic, contra-costa-county, earth-magnetic-field, electromagnetic-surveying, geology-minerals-energy-and-geophysics-science-center, geophysics, geoscientificinformation, gmegsc, impedance, magnetotelluric-surveying, magnetotellurics, mesozoic, mineral-resources-program, mrp, mt, phase, san-pablo-bay, time-series, tipper, usgs-5e460322e4b0ff554f662cdf
Organization: Department of the Interior
Mercury Concentrations and Stable Isotopes in Riparian Songbirds and Invertebrates from the Willamette River, Oregon, 2013

This dataset includes bird species, invertebrate order and family, sample identification codes, collection date, latitude, longitude, site name, bird age, invertebrate life stage, invertebrate trophic group, carbon and nitrogen stable isotopes in birds and invertebrates, total mercury concentrations in bird blood, and methylmercury concentrations in composite invertebrates.

Tags: biota, environment, mercury-contamination, oregon, usgs-5e3d8e8ce4b0edb47be29943, willamette-river
Organization: Department of the Interior
Cladophora biomass and supporting data collected in the Great Lakes, 2019 (ver. 2.0, December 2023)

This dataset records Cladophora and associated submerged aquatic vegetation (SAV) biomass collected approximately monthly during the growing season of 2019 at stations located along the U.S. shoreline of Lakes Michigan, Huron, Erie, and Ontario.  It also records a variety of supporting data collected at Cladophora measurement stations.  These supporting data include: 
- seasonal time series of light, currents, wave action, temperature, specific conductivity, turbidity, pH, phycocyanin, chlorophyll, and dissolved oxygen from moored sensors at a subset of stations; 
- measurements of Secchi disk depth and water chemistry; 
- water column profiles of temperature, specific conductivity, turbidity, pH, phycocyanin, chlorophyll, and dissolved oxygen; 
- diver observations of SAV, dreissenid mussels, round goby abundance, and substrate properties; 
- measurements of dreissenid mussel abundance and size class distribution coincident with SAV biomass; 
- nutrient content of SAV, dreissenid mussels, and sediments;
- and information about sampling locations and operations.
Similar data were collected in 2018 at seven of the same transects within four Great Lakes and is available at https://doi.org/10.5066/P9E570JS. 
This is a revised version of data release; all changes are described in the ReleaseHistory_Cladophora2019_v2.txt. 
First posted: September 25, 2020
Revised: December, 2023

Tags: acoustic-doppler-current-profiling, algae, algal-blooms, aquatic-biology, aquatic-vegetation, benthos, biota, ctd-measurement, environment, eutrophication, freshwater-ecosystems, great-lakes-region, habitat-alteration-and-disturbance, inlandwaters, invasive-species, lake-erie, lake-huron, lake-michigan, lake-ontario, mollusks, nuisance-species, nutrient-content-water, optical-methods, oxygen-content-water, phosphorus, submerged-aquatic-vegetation, surface-water-quality, suspended-material-water, turbidity, usgs-5e3d8879e4b0edb47be258c7, water-ph, water-sampling, water-temperature
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 wave-hazard projections: 1-year storm in Santa Cruz 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, santa-cruz-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, u-s-geological-survey, usgs, usgs-5e3ca0e9e4b0edb47be1bdd5, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 ocean-currents projections: 1-year storm in Santa Cruz 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, santa-cruz-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, u-s-geological-survey, usgs, usgs-5e3ca07ae4b0edb47be1bdce, 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 Santa Cruz 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, santa-cruz-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, u-s-geological-survey, usgs, usgs-5e3c9f19e4b0edb47be1bdc5, 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 Cruz 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, santa-cruz-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, u-s-geological-survey, usgs, usgs-5e3c9e4ae4b0edb47be1bdb9, water-depth, waves, wind
Organization: Department of the Interior
Radar-based field measurements of surface velocity and discharge from 10 U.S. Geological Survey streamgages for various locations in the United States, 2002-19 (ver 2.0, January 2022).

Near-field remote sensing methods were used to collect Doppler velocity and pulsed stage radar data at 10 conventional U.S. Geological Survey (USGS) streamgages in river reaches with varying hydrologic and hydraulic characteristics. Basin sizes ranged from 381 to 66,200 square kilometers and included agricultural, desert, forest, mixed, and high-gradient mountain environments. During the siting and operational phases, radar-derived mean-channel (mean) velocity and discharge were computed using the Probability Concept (PC) and were compared against conventional instantaneous measurements and stage-discharge time series. During siting phase, radars were located, installed, and PC parameters computed. To test the efficacy of the remote-sensing methods, radars were deployed for extended periods of time to capture a range of hydraulic conditions. During operational phase, continuous time series of radar-derived surface velocity and discharge and stage-discharge were recorded, computed, and transmitted contemporaneously and continuously in real time every 5 to 15 minutes. Data are presented in two compressed (zipped) folders and one comma-separated value (CSV) file. One folder contains the radar-derived discharge values. One folder contains the stage-discharge values that were used to check the accuracy of radar-derived values. The CSV file contains siting and validation values used to derive the discharge values for the radar time series.
Version 2.0 contains an additional CSV file named "ST_Stage_Gunnison.csv" (in the folder "Radar_derived_Gunnison_stage_timeseries") with 15-minute radar-derived stage data from the Gunnison River site (USGS Site identification 09152500), which was not included in the original data release.
First posted - June 01, 2020
Revised – January XX, 2022 (version 2.0)

Tags: alaska, colorado, discharge, doppler, environment, geoscientificinformation, inlandwaters, montana, new-mexico, north-america, north-dakota, pennsylvania, pulsed-stage, radar, stream-velocity, united-states, usgs-5e3c9e34e4b0edb47be1bdb6, virginia
Organization: Department of the Interior
Alamagan, Commonwealth of the Northern Mariana Islands, Nightingale Reed-warbler point transect survey data, 2010

Point transect distance sampling data collected during the 2010 surveys of Alamagan, Commonwealth of the Northern Mariana Islands (CNMI). Data were collected at points along transects where trained observers recorded the detection type (heard, seen, or heard then seen) and horizontal distance (exact distance in m) from the station center point to individual birds detected during an 8-min count. To increase the numbers of detections, survey data from 40 detections from the CNMI Division of Fish and Wildlife (DFW; 2000) surveys of Alamagan, and 46 detections from Saipan surveys described in Camp et al. (2009). The count length of the DFW surveys was only 5 minutes; therefore, we included detections from the first 5 minutes of the 2010 survey. The data set also includes covariates that may influence the detectability of birds.
Camp, R. J., Pratt, T. K., Marshall, A. P., Amidon, F. and Williams, L. (2009) Status and trends of the land bird avifauna on Saipan, Mariana Islands, with emphasis on the endangered Nightingale Reed-warbler (Acrocephalus luscinia). Bird Conservation International 19: 323–337.
Division of Fish and Wildlife (2000) Wildlife and vegetation surveys: Pagan 2000. Technical Report 7. CNMI Division of Fish and Wildlife, Saipan, MP.

Tags: alamagan, commonwealth-of-the-northern-mariana-islands, economy, point-transect-distance-sampling, population-declines, population-status, usgs-5e3b3a67e4b0edb47bddae6b
Organization: Department of the Interior
XYZ files of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019

This dataset is comprised of three files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (LiDAR) data representing beach topography and sonar data representing near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota.  The point data is the same as that in LAS (industry-standard format for storing large point cloud datasets) files that were used to create a digital elevation model (DEM) of the approximately 5.9 square kilometer (2.3 square mile) surveyed area.  LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019).  Multi-beam sonar data were collected August 7-11, 2019 using an R2Sonic 2024 sonar unit and methodology similar to that described by Richards and Huizinga (2018).  Single-beam sonar data were collected August 27-28, 2019 using a CEESCOPE single-beam echosounder and methodology similar to that described by Wilson and Richards (2006).

Tags: bathymetry, bathymetry-and-elevation, dem, digital-elevation-models, duluth, elevation, great-lakes, hydroacoustic, inlandwaters, lake-superior, las, lidar, limnology, sonar, southwestern-lake-superior, superior, usgs-5e3ad833e4b0edb47bddabdb, xyz
Organization: Department of the Interior
Magnetotelluric data from San Pablo Bay, California, station sp07

This dataset consists of 14 magnetotelluric (MT) stations collected in 2015 near San Pablo Bay, California along a east-northeast profile. The U.S. Geological Survey acquired these data understand fault geometry of the Hayward Fault and the Rodgers Creek Fault.

Tags: apparent-resistivity, california, cenozoic, contra-costa-county, earth-magnetic-field, electromagnetic-surveying, geology-minerals-energy-and-geophysics-science-center, geophysics, geoscientificinformation, gmegsc, impedance, magnetotelluric-surveying, magnetotellurics, mesozoic, mineral-resources-program, mrp, mt, phase, san-pablo-bay, time-series, tipper, usgs-5e460214e4b0ff554f662cd6
Organization: Department of the Interior
Data release of Bathymetric Map, Surface Area, and Capacity of Grand Lake O' the Cherokees, Northeastern Oklahoma, 2019

The U.S. Geological Survey in cooperation with the Grand River Dam Authority completed a high-resolution multibeam bathymetric survey to compute a new capacity and surface-area table. The capacity and surface-area tables describe the relation between the elevation of the water surface and the volume of water that can be impounded at each given water-surface elevation. The capacity and surface area of Grand Lake O’ the Cherokees were computed from a Triangular Irregular Network (TIN) surface created in Global Mapper Version 21.0.1. The TIN surface was created from three datasets: (1) a multibeam bathymetric survey of Grand Lake O’ the Cherokees in 2019 (Hunter and others 2020), (2) a 2017 USGS bathymetric survey of the Neosho, Spring, and Elk Rivers (Hunter and others, 2017; Smith and others, 2017), and (3) a 2010 lidar-derived digital elevation model (DEM) (USGS, 2016). Where the USGS 2019 and USGS 2017 survey data overlapped, the more recently collected 2019 USGS data were given preference. The DEM data were used in areas with land-surface elevations of more than 744 ft. above NAVD 88 where the multibeam data could not be collected. With the 2019 multibeam data being the predominant source of data this data set reflects lake conditions from 2019 when the multibeam data were collected.

Tags: bathymetry, bathymetry-and-elevation, climatologymeteorologyatmosphere, grand-lake-o-the-cherokees, inlandwaters, multibeam-echo-sounder, oklahoma, u-s-geological-survey, usgs, usgs-5e4c001fe4b0ff554f6c6531, utilitiescommunication
Organization: Department of the Interior
Channel-Bed Elevations of the White River Immediately Downstream of the Beaver Reservoir Dam, Carroll County, Arkansas, 2020

The U.S. Geological Survey (USGS) in cooperation with the U.S. Army Corps of Engineers (USACE) conducted a bathymetric survey of the White River immediately downstream of the Beaver Reservoir Dam in Carroll County, Arkansas, on January 22, 2020. Channel-bed elevations were collected to support a USACE hydraulic modeling effort on the White River. Cross-sectional data within the river channel were collected using an acoustic Doppler current profiler (ADCP) coupled with a differentially corrected global positioning system (GPS) receiver. Water-depth data were converted to channel-bed elevation data by subtracting the depth value from the GPS derived water-surface elevation. Additional channel elevations (topographic data) were surveyed directly using survey-grade GPS along the channel bed and banks where the water depth was too shallow to be measured with the ADCP.
Positional location of the surveyed points was referenced to the North American Datum of 1983, and channel bed elevation, reported in feet, was referenced to the North American Vertical Datum of 1988. Surveying was done according to the standards described in Rydlund and Densmore, 2012.
Review of the global positioning system survey data shows a maximum vertical uncertainty of about 0.34 feet. This vertical uncertainty applies to the water surface elevations throughout the surveyed area, the bed elevations derived from water surface elevations, and land surface points. The vertical uncertainty of the global positioning system data in this survey was likely affected by multipath issues and varying degrees of tree cover along the riverbanks.
The data are provided in the Environmental Systems Research Institute (ESRI) shapefile format consisting of a group of files that have been compressed into a zip archive that is named Beaver_Bathy.zip.
References
Rydlund, P.H., Jr., and Densmore, B.K., 2012, Methods of practice and guidelines for using survey-grade global navigation satellite systems (GNSS) to establish vertical datum in the United States Geological Survey: U.S. Geological Survey Techniques and Methods, book 11, chap. D1, 102 p. with appendixes. [Also available at https://pubs.usgs.gov/tm/11d1/.]

Tags: bathymetry, bathymetry-and-elevation, beaver-lake, carroll-county-arkansas, channel-bed-elevation, state-of-arkansas, u-s-geological-survey, usgs, usgs-5e39d170e4b0a79317e15da6, white-river
Organization: Department of the Interior