AndreaBozzo/ceres-open-data-index huggingface dataset:
Electrical resistivity tomography processed data on irrigated fields at Fort Irwin National Training Center, San Bernardino County, California, 2019-2020

The U.S. Army Fort Irwin National Training Center (NTC), approximately 35 miles north-northeast of Barstow, California, obtains all of its potable water supply from three groundwater basins (Irwin, Langford, and Bicycle Basins) within the NTC boundaries.  In these basins, groundwater withdrawals exceed natural recharge, resulting in water-level declines. However, managed aquifer recharge using treated wastewater has offset water-level declines in Irwin Basin. Additionally, localized water-quality changes have occurred in some parts of Irwin Basin as a result of human activities (for example, wastewater disposal practices, landscape irrigation, and (or) leaking pipes). As part of a research study in cooperation with the U.S. Environmental Protection Agency (EPA) and the U.S. Army, the U.S. Geological Survey (USGS) collected eight electrical resistivity tomography (ERT) surveys on irrigated fields in the Irwin Basin in July 2019 and February 2020. The ERT geophysical technique injects direct-current electricity with known voltage and current into the earth using a series of electrodes and measures the resulting resistivity. This technique is generally limited to investigations of aquifer properties that are less than 100 meters below land surface.

Tags: california, electrical-resistivity-imaging, electrical-resistivity-logging, environment, fort-irwin, geoscientificinformation, groundwater, hydrologic-processes, resistivity, san-bernardino, usgs-5e5ea422e4b01d5092513ce8, water-resources
Organization: Department of the Interior
Data Report for Nodal Seismograph Recording at the Byerly Seismographic Vault, University of California, Berkeley, California

In September and October 2019, the USGS and UC Berkeley (UCB) deployed two nodal seismographs at the Byerly Seismographic Vault (station BRK), east of the UCB campus.  One of the nodes was located immediately outside the vault, and the other was located within the vault, adjacent to a broadband seismometer.  The objective of this deployment was to compare recordings of local earthquakes and ambient noise as recorded by very stable broadband recorders in the vault with nodes that were placed within and outside of the vault. The node within the vault was placed in a barrel filled with sand, and the node outside of the vault was placed a few inches below the surface.  Both nodes recorded for approximately 28 days.

Tags: earthquakes, faulting-geologic, hazards, seismic-methods, seismology, usgs-5e5d85b5e4b01d50924f2dca
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 wave-hazard projections: 100-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-5e5d783fe4b01d50924f2d82, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 wave-hazard projections: 20-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-5e5d7810e4b01d50924f2d7d, water-depth, waves, wind
Organization: Department of the Interior
Summary of the characteristics of commercial tows passing through the Electrical Dispersal Barrier System on the Chicago Sanitary and Ship Canal at Romeoville, Illinois, October 1, 2018, to July 3, 2019

A motion-activated video camera documented the passage of commercial tows through the Electric Dispersal Barrier System (EDBS) on the Chicago Sanitary and Ship Canal at Romeoville, Illinois, over the period October 1, 2018, to July 3, 2019. Videos were manually screened and analyzed to extract tow characteristics including date and time of video recording, number and configuration of barges, loading of barges (loaded, unloaded, or mixed), direction of travel, and bow type (rake or box). Only commercial vessels were logged and no identifying data about the tow vessels were maintained. All videos triggered by recreational vessels or other objects were permanently removed from the database during analysis. Any periods of missing data due to instrument malfunction are documented in the metadata.

Tags: chicago-sanitary-and-ship-canal, commercial-barges, hydrodynamics, illinois, romeoville, usgs-5e66b474e4b01d50925a1272, will-county
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 flood depth and duration projections: 100-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-5e5d77c6e4b01d50924f2d74, 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 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-5e5d6a33e4b01d50924f2d41, water-depth, waves, wind
Organization: Department of the Interior
Seismic Reflection, Boomer shot points collected in the vicinity of Buffalo Reef, Michigan, within Lake Superior, during USGS field activity 2018-043-FA, (CSV text and Esri point shapefile, GCS WGS 84)

In September 2018, the U.S. Geological Survey, in collaboration with the U.S. Army Corps of Engineers, conducted high-resolution geophysical mapping and sediment sampling to determine the distribution of historical mine tailings on the floor of Lake Superior. Large amounts of waste material from copper mining, locally known as “stamp sands,” were dumped into the lake in the early 20th century, with wide-reaching consequences that have continued into the present. Mapping was focused offshore of the town of Gay on the Keweenaw Peninsula of Michigan, where ongoing erosion and re-deposition of the stamp sands has buried miles of native, white-sand beaches.  Stamp sands are also encroaching onto Buffalo Reef, a large area of cobble/boulder substrate that supports productive fisheries in the lake. 
The objectives of this cooperative mapping project are to develop a framework for scientific research and provide baseline information required for management of resources within the coastal zone of northern Michigan.  High-resolution bathymetry and backscatter data reveal the irregular topography of the shallow, cobble-covered Buffalo Reef and the relatively smooth surface of finer-grained sediment that covers adjacent, deeper parts of the lake floor. Previous research used numerous sediment samples to determine the general distribution of mine tailings on the lake floor in this area, but little information exists on the extent and thickness of the surficial deposits. The main priority of this project is to image the near-surface stratigraphy, specifically the thickness of surficial sand and mud that threaten to cover the reef, with seismic-reflection profiling systems.  In addition to continuous coverage of bathymetric and backscatter data, this report includes a dense grid of closely spaced seismic profiles, which will guide efforts to mitigate the environmental impacts of the shifting stamp sands.

Tags: aa-251, applied-acoustics, boomer, buffalo-reef, cmhrp, coastal-and-marine-hazards-and-resources-program, department-of-the-interior, doi, field-activity-number-2018-043-fa, geology, geophysics, geoscientificinformation, geospatial-datasets, houghton-county, inlandwaters, keweenaw-county, keweenaw-peninsula, lacustrine-geology, lake-floor, lake-superior, lakefloor, location, navigational-data, r-v-rafael, seismic-navigation, seismic-profile, seismic-reflection, seismic-reflection-methods, shapefile, shot-point-navigation, state-of-michigan, traverse-bay, u-s-geological-survey, united-states-of-america, usgs, usgs-5e5d6911e4b01d50924f2d3a, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Hybrid lidar/imagery sensor validation survey data, 2019

U.S. Geological Survey (USGS) scientists conducted field data collection efforts during the weeks of September 9-13 and November 18-22, 2019, using a combination of technologies to map and validate topography, vegetation, and features in two areas of interest (AOI's) in north central Colorado.  The western AOI included land managed by the Bureau of Land Management and the U.S. Forest Service.  The eastern AOI included agricultural and urban areas.  The work was initiated as an effort to test and evaluate the Leica Geosystems CountryMapper* sensor.  The CountryMapper is a hybrid sensor that collects imagery and light detection and ranging (lidar) data simultaneously.  The CountryMapper has the potential to collect data that satisfies both USGS National Geospatial Program (NGP) 3D Elevation Program (3DEP) and U.S. Department of Agriculture (USDA) National Agriculture Imagery Program (NAIP) requirements in a single collection.  Real Time Kinematic Global Navigational Satellite System (RTK-GNSS), total station, ground based lidar (GBL), Unmanned Aerial System (UAS) lidar, and UAS imagery data were collected to compare to the data collected by the CountryMapper.
* Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Tags: 3d-elevation-program, 3dep, aim, arapahoe-national-forest, assessment-inventory-and-monitoring-plot, biota, blm, bureau-of-land-management, chimney-park, dji, earth-resources-observation-and-science-center, eastman-park, elevation, eros, fort-collins, gbl, geoscientificinformation, global-navigational-satellite-system, gnss, granby, ground-based-lidar, headwaters-extensive-recreation-management-area, lidar, light-detection-and-ranging, location, main-park, national-geospatial-program, national-uas-project-office, ngp-elevation-applied-research-calibration-validation, nupo, sfm, state-of-colorado, structure-from-motion, terrestrial-laser-scanner, tls, total-station, u-s-forest-service, u-s-geological-survey, uas, uav, unmanned-aerial-system, unmanned-aerial-vehicle, usfs, usgs, usgs-5e5d679ae4b01d50924f2d23, windsor, windy-gap-wildlife-viewing-area, yellowscan
Organization: Department of the Interior
Potomac River Topobathymetric Lidar Validation Survey Data

U.S. Geological Survey (USGS) scientists completed a multidisciplinary data collection effort during the week of October 21-25, 2019, using new technologies to map and validate bathymetry over a large stretch of the non-tidal Potomac River.  The work was initiated as an effort to validate commercially-acquired topobathymetric light detection and ranging (lidar) data funded through a partnership between the USGS and the Interstate Commission on the Potomac River Basin (ICPRB).  The goal was to compare airborne lidar data to bathymetric data collected through more traditional means (boat-based sonar, wading Real Time Kinematic Global Navigational Satellite System (RTK-GNSS) surveys) and through unmanned aerial systems (UAS).  In addition to accurately measuring river bottom elevations with GNSS and sonar, remote sensing imagery was collected with optical, multispectral, thermal, and ground-based lidar (GBL) sensors to test new technologies.  The bathymetric lidar data, once delivered, will be used for hydrodynamic and water supply risk modeling, aquatic habitat assessments, and to test inland bathymetry mapping capabilities for inclusion in the USGS National Geospatial Program (NGP) 3D Elevation Program (3DEP).
The data contained within this particular release are comprised of conventional survey (i.e. total station and GNSS) and GBL data.

Tags: 3d-elevation-program, 3dep, brunswick-family-campground, elevation, geoscientificinformation, global-navigational-satellite-system, gnss, ground-based-lidar, harpers-ferry, lidar, lidar-validation, light-detection-and-ranging, location, millville-dam, national-geospatial-program, ngp-inland-bathymetry-research, point-of-rocks, potomac-river, shenandoah-river, shepherdstown, state-of-maryland, state-of-virginia, state-of-west-virginia, terrestrial-laser-scanning, topobathy, topobathymetric-lidar, total-station, u-s-geological-survey, usgs, usgs-5e5d460ee4b01d50924f2c85, whites-ferry
Organization: Department of the Interior
Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 5 Model prediction data

Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. state of Minnesota. Uncalibrated models used default configurations (PB0; see Read et al. 2019 for details) of the General Lake Model version 3.1 (Hipsey et al. 2019) and no parameters were further adjusted according to model fit with observations. Process-Guided Deep Learning (PGDL; see Read et al. 2019 and Jia et al. 2019) models were deep learning models pre-trained PB0 outputs and a physical constraint for energy conservation as a loss term. After pre-training, these PGDL models were training on actual temperature observations.

Tags: climate-change, deep-learning, environment, hybrid-modeling, inlandwaters, machine-learning, minnesota, mn, modeling, reservoirs, sd, south-dakota, temperate-lakes, temperature, thermal-profiles, united-states, us, usgs-5e5d0bb9e4b01d50924f2b36, water, water-resources
Organization: Department of the Interior
Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 4 Model inputs (meteorological inputs, clarity, and ice flags)

This dataset includes model inputs (specifically, weather, water clarity, and flags for predicted ice-cover) and is part of a larger data release of lake temperature model inputs and outputs for 881 lakes in the U.S. state of Minnesota (https://doi.org/10.5066/P9PPHJE2).

Tags: climate-change, deep-learning, environment, hybrid-modeling, inlandwaters, machine-learning, minnesota, mn, modeling, reservoirs, sd, south-dakota, temperate-lakes, temperature, thermal-profiles, united-states, us, usgs-5e5d0b96e4b01d50924f2b34, water, water-resources
Organization: Department of the Interior
Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 3 Model configurations (lake model parameter values)

This dataset provides model parameters used to estimate water temperature from a process-based model (Hipsey et al. 2019) using uncalibrated model configurations (PB0) and the trained model parameters for process-guided deep learning models (PGDL; Read et al. 2019). This dataset is part of a larger data release of lake temperature model inputs and outputs for 881 lakes in the U.S. state of Minnesota(https://doi.org/10.5066/P9PPHJE2).

Tags: climate-change, deep-learning, environment, hybrid-modeling, inlandwaters, machine-learning, minnesota, mn, modeling, reservoirs, sd, south-dakota, temperate-lakes, temperature, thermal-profiles, united-states, us, usgs-5e5c1c36e4b01d50924f27ea, water, water-resources
Organization: Department of the Interior
Ground conductivity measurements at selected National Wildlife Refuges: Lindell, North Dakota, 2018

Shallow subsurface electrical conductivity was mapped at Lindell National Wildlife Refuge (NWR) in northwest North Dakota using the DUALEM421 electromagnetic sensor (Dualem, Inc., ON, Canada) in the winter of 2018. Data were acquired by towing the DUALEM421 sensor on a sled behind an all-terrain vehicle or snow machine, with the sensor at a nominal height of 0.3 meters (m) above ground surface. Approximately 18 line-kilometers (km) of data were acquired over an area of approximately 1 square-kilometer. At this survey location, the 4m transmitter-receiver horizontal co-panar and perpendicular coil orientations did not function due to equipment malfunction. Data were manually edited to remove sensor dropouts, lag corrected for apparent offsets between recorded GPS location and data locations for each coil pair, and averaged to a sounding distance of 1m along the survey path; data were not decoupled from infrastructure noise sources (powerlines, pipelines, fences, etc.) or corrected for sensor pitch or roll. This data release contains raw and processed electromagnetic data. Digital data are described by the data dictionaries. Additional details regarding the processing steps are described in the metadata.

Tags: electromagnetic-surveying, electromagnetics, environment, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, groundwater, hydrogeology, lindell, national-wildlife-refuge, norock, north-dakota, northern-rocky-mountain-science-center, prairie-pothole-region, resistivity, salinity, science-team-about-energy-and-plains-and-potholes-environments, steppe, usgs-5e751963e4b01d50926e6545, water-resources, williston-basin
Organization: Department of the Interior