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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...
Photoluminescence Imaging of Whole Zircon Grains on a Petrographic Microscope - An Underused Aide for Geochronologic Studies Photoluminescence Imaging of Whole Zircon Grains on a Petrographic Microscope - An Underused Aide for Geochronologic Studies
The refractory nature of zircon to temperature and pressure allows even a single zircon grain to preserve a rich history of magmatic, metamorphic, and hydrothermal processes. Isotopic dating of micro-domains exposed in cross-sections of zircon grains allows us to interrogate this history. Unfortunately, our ability to select the zircon grains in a heavy mineral concentrate that records...
Water quality and gas fluxes of Interior Alaska (2014-2018) Water quality and gas fluxes of Interior Alaska (2014-2018)
This product consists of multiple tabular datasets and associated metadata of water quality information related to rivers, streams, and lakes in the Yukon River watershed between 2014 and 2018. This data release is apart of the National Aeronautics and Space Administration (NASA) funded Arctic-Boreal Vulnerability Experiment (ABoVE) and is an assessment of water quality and greenhouse...
Digitized datasets of the structure of Cenozoic and late Cretaceous strata along the Atlantic and Gulf Coastal Plains from Texas to New Jersey Digitized datasets of the structure of Cenozoic and late Cretaceous strata along the Atlantic and Gulf Coastal Plains from Texas to New Jersey
This dataset consists of shapefiles that are digitized contours of the structure of Cenozoic and late Cretaceous strata along the Gulf and Atlantic Coastal plains from Texas to New Jersey, not including Maryland and Delaware. Well depths and seismic profiles indicating depth to or elevation of subsurface geologic contacts present in some datasets have also been digitized. Metadata files...
Cladophora biomass and supporting data collected in the Great Lakes, 2019 (ver. 2.0, December 2023) 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...
Microplastics data collected from streams in the northeastern United States, 2017-2018 Microplastics data collected from streams in the northeastern United States, 2017-2018
This dataset describes the quantity and morphology of microplastics in water, surficial sediment, sediment core, fish, and shellfish samples from Lake Mead National Recreation Area (Nevada/Arizona). Water and surficial sediment samples were collected once at 9 locations. A sediment core (33 cm long) was extracted from Las Vegas Bay to assess changes in microplastic deposition over time...
2019 Hydrologic Data Summary for the Central Pine Barrens Region, Suffolk County, New York (ver. 2.0, February 2024) 2019 Hydrologic Data Summary for the Central Pine Barrens Region, Suffolk County, New York (ver. 2.0, February 2024)
This U.S. Geological Survey data release provides surface-water quality, streamflow, and groundwater-elevation data collected within the Central Pine Barrens (CPB) Region of Suffolk County, New York. The data were collected in cooperation with the Central Pine Barrens Commission and the Town of Brookhaven as part of a five-year comprehensive water-resources monitoring program. Water...