AndreaBozzo/ceres-open-data-index huggingface dataset:
Topobathy grid representing the backshore to the nearshore at Marconi Beach, Wellfleet from data collected on March 11 and 16, 2022

The data in this release map the beach and nearshore environment at Marconi Beach in Wellfleet, MA and provide updated environmental context for the 2021 CoastCam installation that looks out at the coast shared by beachgoers, shorebirds, seals, and sharks. This is related to the field activity 2022-014-FA and a collaboration with the National Park Service at Cape Cod National Seashore to monitor the region that falls within the field of view of CoastCam CACO-02, which are two video cameras aimed at the beach. In March 2022, U.S Geological Survey and Woods Hole Oceanographic Institute (WHOI) scientists conducted field surveys to map the CoastCam field of view. Aerial images of the beach for use in structure from motion were taken with a camera (Sony a6000) and a post-processed kinematic (PPK) system attached to a helium filled balloon-kite (Helikite). High-precision GPS targets (AeroPoints) and numbered black and white tarps were used as ground control points. Bathymetry was collected in the nearshore using a single-beam echosounder mounted on a surf capable self-righting electric autonomous surface vehicle. Agisoft Metashape (v. 1.8.1) was used to create a digital surface model with the collected imagery, which was merged with the bathymetry in MATLAB (v. 2020b) to create a continuous topobathy product.

Tags: bathymetry, cape-cod, cmhrp, coastal-and-marine-hazards-and-resources-program, coastcam, datasets, geoscientificinformation, geospatial-datasets, helikite, marconi-beach, massachusetts, oceans, remote-sensing, single-beam-echo-sounder, topography, u-s-geological-survey, united-states, usgs, usgs-62deede0d34e952be909419c, wellfleet, whcmsc, whoi, woods-hole-coastal-and-marine-science-center, woods-hole-oceanographic-institution, yellowfin
Organization: Department of the Interior
Orthomosaic representing Marconi Beach, Wellfleet, MA March 11, 2022

The data in this release map the beach and nearshore environment at Marconi Beach in Wellfleet, MA and provide updated environmental context for the 2021 CoastCam installation that looks out at the coast shared by beachgoers, shorebirds, seals, and sharks. This is related to the field activity 2022-014-FA and a collaboration with the National Park Service at Cape Cod National Seashore to monitor the region that falls within the field of view of CoastCam CACO-02, which are two video cameras aimed at the beach. In March 2022, U.S Geological Survey and Woods Hole Oceanographic Institute (WHOI) scientists conducted field surveys to map the CoastCam field of view. Aerial images of the beach for use in structure from motion were taken with a camera (Sony a6000) and a post-processed kinematic (PPK) system attached to a helium filled balloon-kite (Helikite). High-precision GPS targets (AeroPoints) and numbered black and white tarps were used as ground control points. Bathymetry was collected in the nearshore using a single-beam echosounder mounted on a surf capable self-righting electric autonomous surface vehicle. Agisoft Metashape (v. 1.8.1) was used to create a digital surface model with the collected imagery, which was merged with the bathymetry in MATLAB (v. 2020b) to create a continuous topobathy product.

Tags: aerial-photography, agisoft-metashape, cape-cod, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, datasets, geomorphology, geoscientificinformation, helikite, imagerybasemapsearthcover, marconi-beach, massachusetts, remote-sensing, structure-from-motion, u-s-geological-survey, united-states, usgs, usgs-62deefcdd34e952be90941a0, wellfleet, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Orthomosaic representing Head of the Meadow Beach, Truro on March 10, 2022

These data map the beach and nearshore environment at Head of the Meadow Beach in Truro, MA, providing updated regional context for the 2019 CoastCam installation. CoastCam CACO-01 are two video cameras aimed at the beach that view the coast shared by beachgoers, shorebirds, seals, and sharks. These data were collected as part of field activity 2022-015-FA and a collaboration with the National Park Service at Cape Cod National Seashore to monitor the region. In March 2022, U.S. Geological Survey and Woods Hole Oceanographic Institution (WHOI) scientists conducted field surveys to re-map the field of view of the CoastCam. Aerial images of the beach for use in structure from motion were taken with a camera (Sony a6000) and a post-processed kinematic (PPK) system attached to a helium filled balloon-kite (Helikite). High-precision GPS targets (AeroPoints) and numbered black and white tarps were used as ground control points. Bathymetry was collected in the nearshore using a single-beam echosounder mounted on a surf capable self-righting electric autonomous surface vehicle. Agisoft Metashape (v. 1.8.1) was used to create a digital surface model with the collected imagery, which was merged with the bathymetry in MATLAB (v. 2020) to create a continuous topobathy product.

Tags: aerial-photography, cape-cod, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, datasets, geomorphology, geoscientificinformation, head-of-the-meadow-beach, helikite, imagerybasemapsearthcover, massachusetts, remote-sensing, structure-from-motion, truro, u-s-geological-survey, united-states, usgs, usgs-62dff9eed34e952be90980ea, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Topobathy grid representing the backshore to the nearshore at Head of the Meadow Beach, Truro from data collected on March 10 and 18, 2022

These data map the beach and nearshore environment at Head of the Meadow Beach in Truro, MA, providing updated regional context for the 2019 CoastCam installation. CoastCam CACO-01 are two video cameras aimed at the beach that view the coast shared by beachgoers, shorebirds, seals, and sharks. These data were collected as part of field activity 2022-015-FA and a collaboration with the National Park Service at Cape Cod National Seashore to monitor the region. In March 2022, U.S. Geological Survey and Woods Hole Oceanographic Institute (WHOI) scientists conducted field surveys to re-map the field of view of the CoastCam. Aerial images of the beach for use in structure from motion were taken with a camera (Sony a6000) and a post-processed kinematic (PPK) system attached to a helium filled balloon-kite (Helikite). High-precision GPS targets (AeroPoints) and numbered black and white tarps were used as ground control points. Bathymetry was collected in the nearshore using a single-beam echosounder mounted on a surf capable self-righting electric autonomous surface vehicle. Agisoft Metashape (v. 1.8.1) was used to create a digital surface model with the collected which was merged with the bathymetry in MATLAB (v. 2020b) to create a continuous topobathy product.

Tags: bathymetry, cape-cod, cmhrp, coastal-and-marine-hazards-and-resources-program, coastcam, datasets, elevation, geoscientificinformation, geospatial-datasets, head-of-the-meadow-beach, helikite, massachusetts, oceans, remote-sensing, single-beam-echo-sounder, topography, truro, u-s-geological-survey, united-states, usgs, usgs-62e0031ad34e952be9098102, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Chemistry data for assessment of the containment pond water at Pinyon Plain Mine, 2021

These data are comprised of measurements of elements (e.g., uranium, cobalt, nickel, copper, zinc, cadmium, lead, etc.), major anions (chloride, nitrite+nitrate as nitrogen, sulfate, etc.), organic carbon, and general water quality characteristics in Pinyon Plain Mine containment pond water samples collected in calendar year 2021.

Tags: arizona, coconino, dissolved-organic-carbon, environment, grand-canyon, metals, mine-sites, mining-and-mineral-extraction, mining-hazards, pinyon-plain-mine, u-s-geological-survey-columbia-environmental-research-center, usgs-62e145e1d34e10763b598fc6
Organization: Department of the Interior
Digital surface model representing Head of the Meadow Beach, Truro on March 10, 2022

These data map the beach and nearshore environment at Head of the Meadow Beach in Truro, MA, providing updated regional context for the 2019 CoastCam installation. CoastCam CACO-01 are two video cameras aimed at the beach that view the coast shared by beachgoers, shorebirds, seals, and sharks. These data were collected as part of field activity 2022-015-FA and a collaboration with the National Park Service at Cape Cod National Seashore to monitor the region. In March 2022, U.S. Geological Survey and Woods Hole Oceanographic Institute (WHOI) scientists conducted field surveys to re-map the field of view of the CoastCam. Aerial images of the beach for use in structure from motion were taken with a camera (Sony a6000) and a post-processed kinematic (PPK) system attached to a helium filled balloon-kite (Helikite). High-precision GPS targets (AeroPoints) and numbered black and white tarps were used as ground control points. Bathymetry was collected in the nearshore using a single-beam echosounder mounted on a surf capable self-righting electric autonomous surface vehicle. Agisoft Metashape (v. 1.8.1) was used to create a digital surface model with the collected imagery, which was merged with the bathymetry in MATLAB (v. 2020b) to create a continuous topobathy product.

Tags: agisoft-metashape, cape-cod, cmhrp, coastal-and-marine-hazards-and-resources-program, coastcam, datasets, digital-elevation-models, elevation, geoscientificinformation, helikite, massachusetts, remote-sensing, structure-from-motion, truro, u-s-geological-survey, united-states, usgs, usgs-62e0077bd34e952be9098180, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Bathymetric data and grid of offshore Head of the Meadow Beach, Truro, on March 18, 2022

These data map the beach and nearshore environment at Head of the Meadow Beach in Truro, MA, providing updated regional context for the 2019 CoastCam installation. CoastCam CACO-01 are two video cameras aimed at the beach that view the coast shared by beachgoers, shorebirds, seals, and sharks. These data were collected as part of field activity 2022-015-FA and a collaboration with the National Park Service at Cape Cod National Seashore to monitor the region. In March 2022, U.S. Geological Survey and Woods Hole Oceanographic Institute (WHOI) scientists conducted field surveys to re-map the field of view of the CoastCam. Aerial images of the beach for use in structure from motion were taken with a camera (Sony a6000) and a post-processed kinematic (PPK) system attached to a helium filled balloon-kite (Helikite). High-precision GPS targets (AeroPoints) and numbered black and white tarps were used as ground control points. Bathymetry was collected in the nearshore using a single-beam echosounder mounted on a surf capable self-righting electric autonomous surface vehicle. Agisoft Metashape (v. 1.8.1) was used to create a digital surface model with the collected imagery, which was merged with the bathymetry in MATLAB (v. 2020b) to create a continuous topobathy product.

Tags: autonomous-surface-vehicle, bathymetry, cape-cod, cmhrp, coastal-and-marine-hazards-and-resources-program, coastcam, geoscientificinformation, head-of-the-meadow-beach, massachusetts, oceans, remote-sensing, single-beam-echo-sounder, truro, u-s-geological-survey, united-states, usgs, usgs-62e009cfd34e952be9098186, whcmsc, woods-hole-coastal-and-marine-science-center, woods-hole-oceanographic-institution, yellowfin
Organization: Department of the Interior
Ground control points at Head of the Meadow Beach, Truro on March 10, 2022

These data map the beach and nearshore environment at Head of the Meadow Beach in Truro, MA, providing updated regional context for the 2019 CoastCam installation. CoastCam CACO-01 are two video cameras aimed at the beach that view the coast shared by beachgoers, shorebirds, seals, and sharks. These data were collected as part of field activity 2022-015-FA and a collaboration with the National Park Service at Cape Cod National Seashore to monitor the region. In March 2022, U.S. Geological Survey and Woods Hole Oceanographic Institute (WHOI) scientists conducted field surveys to re-map the field of view of the CoastCam. Aerial images of the beach for use in structure from motion were taken with a camera (Sony a6000) and a post-processed kinematic (PPK) system attached to a helium filled balloon-kite (Helikite). High-precision GPS targets (AeroPoints) and numbered black and white tarps were used as ground control points. Bathymetry was collected in the nearshore using a single-beam echosounder mounted on a surf capable self-righting electric autonomous surface vehicle. Agisoft Metashape (v. 1.8.1) was used to create a digital surface model with the collected imagery, which was merged with the bathymetry in MATLAB (v. 2020b) to create a continuous topobathy product.

Tags: cape-cod, cmhrp, coastal-and-marine-hazards-and-resources-program, datasets, geolocation-measurement, geoscientificinformation, gps-measurement, gps-navigation, head-of-the-meadow-beach, location, massachusetts, oceans, truro, u-s-geological-survey, united-states, usgs, usgs-62e00d3cd34e952be90981fe, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Surveyed coordinates and elevations in a 2017 resurvey of previously established cross sections on the Little Snake and Yampa rivers in Lily and Deerlodge parks, Colorado

These data were compiled for the National Park Service and Upper Colorado River Endangered Fish Recovery Program. Objective(s) of our study were to resurvey previously established cross sections on the Yampa and Little Snake rivers in the Deerlodge Park area to document changes in channel width, depth, and cross-sectional area. These data represent the 2017 resurvey coordinates and elevations of previously established cross sections on the Little Snake and Yampa rivers. These data were collected in Lily and Deerlodge parks, Colorado  on October 17 and 18, 2017. These data were collected by Ronald Griffiths and Joel Unema (U.S. Geological Survey), and Christina Leonard (Utah State University) using real-time kinematic (RTK) GPS positioning. These data can be used to locate previously surveyed cross sections compute channel changes.

Tags: bathymetry, bathymetry-measurement, channel-change, channel-depth, channel-width, colorado, cross-section-endpoint-coordinates, cross-section-topography, cross-sectional-area, cross-sections, data-release, deerlodge-park, dinosaur-national-monument, elevation, gps-measurement, horizontal-coordinates, inlandwaters, lily-park, little-snake-river, map-coordinate-systems, real-time-kinematic-gps-positioning, resurvey-coordinates, river-reaches, topography, usgs-62e03799d34e952be90982a8, yampa-river
Organization: Department of the Interior
PeakFQ version 7.4 specifications file for peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021

This file (wymt_ffa_2021B.psf) contains specifications to run PeakFQ version 7.4 for peak-flow frequency analyses for selected streamgages based on data through water year 2021.

Tags: annual-exceedance-probability, bighorn, bighorn-county, computational-methods, floods, hazard-preparedness, hazards, hydrologic-processes, hydrology, inlandwaters, land, little-bighorn, lower-bighorn, lower-yellowstone, montana, north-america, peak-flow-frequency, rosebud, rosebud-county, statistical-analysis, stream-gage-measurement, streamflow, time-series-analysis, tongue, treasure-county, united-states, usgs-62e0636dd34e10763b5951ac, usgs-cc-natural-hazards, watershed-management, yellowstone, yellowstone-county
Organization: Department of the Interior
WATSTORE Peak flow data for peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021

This file (wymt_ffa_2021B_WATSTORE.txt) contains peak-flow input data for PeakFQ for peak-flow frequency analyses for selected streamgages based on data through water year 2021. The file format is called WATSTORE (National Water Data Storage and Retrieval System) available from NWISWeb (http://nwis.waterdata.usgs.gov/usa/nwis/peak).

Tags: annual-exceedance-probability, bighorn, bighorn-county, computational-methods, floods, hazard-preparedness, hazards, hydrologic-processes, hydrology, inlandwaters, land, little-bighorn, lower-bighorn, lower-yellowstone, montana, north-america, peak-flow-frequency, rosebud, rosebud-county, statistical-analysis, stream-gage-measurement, streamflow, time-series-analysis, tongue, treasure-county, united-states, usgs-62e06395d34e10763b5951ae, usgs-cc-natural-hazards, watershed-management, yellowstone, yellowstone-county
Organization: Department of the Interior
Evaluation of Hydrodynamic Mixing in Keswick Reservoir, California, 2021-22

California’s State Water Resources Control Board (SWRCB) wishes to quantify how water and constituents introduced via the outflow from the Spring Creek Diversion Dam mix with water within Keswick Reservoir. Of primary interest is the degree of dilution that exists when this introduced flow reaches the main stem of Keswick Reservoir, and how this mixing is influenced by different operational parameters of the system. In addition to flows through the three relevant dams (Spring Creek Debris Dam, Keswick Dam, and Shasta Dam) that must be considered, there is additional flow entering the Spring Creek Arm of the Keswick Reservoir via two penstocks that carry water from Whiskeytown Lake to the Spring Creek Power Plant. In total there are thus four different flow rates to consider, all controlled by the U.S. Bureau of Reclamation to manage a combination of water supply, water quality and ecological interests.
The problem was investigated by an approach that combines three-dimensional numerical modeling of hydrodynamics and an assumed conserved tracer with a small field measurement campaign to measure short-term mixing processes via monitoring of released dye for comparison to model results. The project involves the use of the public domain Delft3d hydrodynamic model, which includes conserved constituent transport.
This data release contains data from:
1) a small-footprint bathymetric survey performed at the upstream end of the Spring Creek Arm on 12/3/21, and
2) Data from a Rhodamine dye mixing experiment conducted 4/4-4/8/22. This dataset includes:
- discharge data to and from Keswick reservoir
- some water level and water temperature data
- a bathymetric survey dataset assembled from three different surveys, differing in scope, in 2010, 2016 and 2021.
- data from 10 sondes deployed in Keswick Reservoir 4/4-4/8/22 to record Rhodamine dye concentration, water temperature, and specific conductivity, along with pressure head.
- data from three GPS-equipped drifters that recorded surface flow pathlines for the first half-day of the April 2022 experiment.
This data release includes all of the measurements required to run the hydrodynamic model to simulate the April 2022 field experiment.

Tags: biota, contaminants, hydrodynamics, inlandwaters, keswick-reservoir, redding, rhodamine-dye, sacramento-river, shasta-lake, spring-creek-debris-dam, three-dimensional-numerical-modeling, usgs-62e16507d34e10763b599008
Organization: Department of the Interior
Geochemical and fallout radionuclide data for sediment source fingerprinting studies of the Loutsenhizer Arroyo and Sunflower Drain watersheds in western Colorado

This data release includes geochemical and fallout radionuclide data for suspended sediments and potential sediment source types for the Loutsenhizer Arroyo and Sunflower Drain watersheds in western Colorado. Suspended sediments were collected by passive samplers deployed in the stream channel of the watershed outlets during four study periods between August 2018 and August 2019. Potential sediment source type samples were collected in the watersheds in duplicate using compositing techniques that targeted the top 5 centimeters of soil. The four potential sediment source-types were: agricultural fields, rangeland, arroyo walls, and streambanks. Source type samples were wet sieved to less than (&lt;) 63 microns (µm) to target the size fraction likely to be entrained in streamflow as suspended sediments. Geochemical analyses were conducted by AGAT Laboratories (Canada) and data are reported for concentrations of 42 elements along with total carbon, carbonate, and organic carbon. Selenium concentrations were measured by hydride generation atomic absorption spectroscopy. Fallout radionuclide analyses were conducted at the USGS St. Petersburg Coastal and Marine Science Center by gamma-ray spectrometry methods. Activity ratios for total lead-210 to radium-226 and ratios of radium-226 to uranium-238 are reported along with propagated uncertainty for the ratios.

Tags: chemical-analysis, colorado, fallout, geoscientificinformation, inlandwaters, loutsenhizer-arroyo, radionuclide, sediment-fingerprinting, selenium, sunflower-drain, suspended-material-water, usgs-62e1817bd34e10763b59906a
Organization: Department of the Interior
Spatial data from An Inventory of U.S. Geological Survey Three-Dimensional Geologic Models, Volume 1, 2004–2022

Within the U.S. Geological Survey (USGS), three-dimensional (3D) geologic models are created as part of geologic framework studies, to support energy, minerals, or water resource assessments, and to inform geologic hazard assessments. Such models are often used within the organization as digital input into process and predictive models. 3D geological modeling typically supports research and project work within a specific part of the USGS – called Mission Areas – and as a result, 3D modeling activities are decentralized and model results are released on a project-by-project basis. This digital data release inventories and catalogs, for the first time, 3D geological models constructed by the USGS across all Mission Areas. This inventory assembles in catalog form the spatial locations and salient characteristics of previously published USGS 3D geological models. This inventory covers the time period from 2004, the date of the earliest published model through 2022.
This digital dataset contains spatial extents of the 3D geologic models as polygon features that are attributed with unique identifiers that link the spatial data to nonspatial tables that define the data sources used and describe various aspects of each published model. The nonspatial DataSources table includes full citation and URL address for both published model reports and any digital model data released as a separate publication. The nonspatial ModelAttributes table classifies the type of model, using several classification schemes, identifies the model purpose and originating agency, and describes the spatial extent, depth, and number of layers included in each model. A tabular glossary defines terms used in the dataset. A tabular data dictionary describes the entity and attribute information for all attributes of the geospatial data and the accompanying nonspatial tables.

Tags: 3d-model, geology, geoscientificinformation, maps-and-atlases, subsurface-maps, usgs-62e18c3dd34e10763b59912c
Organization: Department of the Interior