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Coastal Bathymetry and Backscatter Data Collected in August 2019 from Cedar Island, Virginia Coastal Bathymetry and Backscatter Data Collected in August 2019 from Cedar Island, Virginia
Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida (USGS SPCSMC), conducted a geophysical survey of Cedar Island, Virginia, August 2019. During this study, multibeam bathymetry and backscatter data were collected aboard the R/V Sallenger, while single-beam bathymetry were collected aboard a towed seismic sled. Efforts...
Prediction grids of pH for the Mississippi River Valley Alluvial and Claiborne Aquifers Prediction grids of pH for the Mississippi River Valley Alluvial and Claiborne Aquifers
Groundwater is a vital resource to the Mississippi embayment region of the central United States. Regional and integrated assessments of water availability that link physical flow models and water quality in principal aquifer systems provide context for the long-term availability of these water resources. An innovative approach using machine learning was employed to predict groundwater...
New England Below Normal 28-day average streamflow compared to historical streamflow for the day of year New England Below Normal 28-day average streamflow compared to historical streamflow for the day of year
Below Normal 28-day average streamflow compared to historical streamflow for the day of year
Time Series of Aerial Imagery from Small Unmanned Aircraft Systems and Associated Ground Control Points: Madeira Beach, Florida, July 2017 to June 2018 Time Series of Aerial Imagery from Small Unmanned Aircraft Systems and Associated Ground Control Points: Madeira Beach, Florida, July 2017 to June 2018
Aerial imagery acquired with a small unmanned aircraft system (sUAS), in conjunction with surveyed ground control points (GCP) visible in the imagery, can be processed with structure-from-motion (SfM) photogrammetry techniques to produce high-resolution orthomosaics, three-dimensional (3D) point clouds and digital elevation models (DEMs). This dataset, prepared by the U.S. Geological...
GeoPhys GeoPhys
This set of utilities is used to extract geophysical information from the NCM (Boyd, 2020) including, for example, S-wave, P-wave, and density profiles, as well as attributes for ground motions models including VS30, Z1.0, and Z2.5. Running the code in either MATLAB or Python requires all of the NCM databases (https://doi.org/10.5066/P9T96Q67).
Combined Occurrence Frequency of Wind Speeds and Precipitation Amounts Conducive to Dust Dispersion from Disturbed Mine and Mill Sites in the United States, 2007?16 Combined Occurrence Frequency of Wind Speeds and Precipitation Amounts Conducive to Dust Dispersion from Disturbed Mine and Mill Sites in the United States, 2007?16
Dispersion of dust depends on many complex factors related to the nature of the disturbed materials, climate, dust control measures, and localized weather patterns. This dataset presents wind speed and rainfall as climate factors that influence dust dispersion. These two basic factors were identified as a subset of the many factors that can lead to dust dispersion. Arpacioglu and Er...