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Passive seismic data collected along headwater stream corridors in Shenandoah National Park in 2016 - 2020 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...

Hydrologic and Geochemical Data and Models Supporting Integrated Evaluation of the Captain Jack Superfund Site, Boulder County, Colorado Hydrologic and Geochemical Data and Models Supporting Integrated Evaluation of the Captain Jack Superfund Site, Boulder County, Colorado

The Captain Jack Superfund site near Ward, Colorado hosts extensive interconnected underground mine workings, which drain via the Big Five Adit. Drainage from the adit has historically been acidic with elevated concentrations of metals. In 2018 the U.S. Environmental Protection Agency (EPA) utilized a subsurface remediation strategy consisting of the installation of a hydraulic bulkhead...

Flood frequency and source data used in the regional regression analysis of annual peak flows in Connecticut (2020) (ver. 2.0, April 2021) Flood frequency and source data used in the regional regression analysis of annual peak flows in Connecticut (2020) (ver. 2.0, April 2021)

Current estimates of the magnitude and frequency of floods at gaged and ungaged stream sites are critical for assessing flood risk, delineating flood zones, designing hydraulic structures, and managing flood plains. The Connecticut Department of Transportation collaborated with U.S. Geological Survey (USGS) in a study to improve the flood-frequency estimates in Connecticut and develop...

Aerial Imagery of the North Carolina Coast: 2019-10-11 Aerial Imagery of the North Carolina Coast: 2019-10-11

The U.S. Geological Survey (USGS) Remote Sensing Coastal Change (RSCC) project collects aerial imagery along coastal swaths, in response to storm events, with optimized endlap/sidelap and precise position information to create high-resolution orthomosaics, three-dimensional (3D) point clouds, and digital elevation/surface models (DEMs/DSMs) using Structure-from-Motion (SfM)...

Predicted Avian Influenza Prevalence for Wild Waterfowl Species Across the Continental United States. Predicted Avian Influenza Prevalence for Wild Waterfowl Species Across the Continental United States.

This data release provides the predicted proportion of birds testing positive for IAV for each species at weekly intervals for each county centroid in the continental United States. This data supports a paired USGS publication.
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