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Hydrodynamic and sediment transport data from San Pablo Bay and Grizzly Bay, California, 2019 Hydrodynamic and sediment transport data from San Pablo Bay and Grizzly Bay, California, 2019
The U.S. Geological Survey Pacific Coastal and Marine Science Center collected hydrodynamic and sediment-transport data at shallow water sites in San Pablo Bay and Grizzly Bay, in northern San Francisco Bay between June and November 2019. The data were collected to determine hydrodynamic forcing, bed roughness, suspended-sediment concentration, and physical properties of the sediment bed...
Mouse predation on Laysan albatross Mouse predation on Laysan albatross
Invasive rodents on islands have adverse impacts on native birds in island ecosystems, and rats are the most common culprits. Recently, house mice (Mus musculus) in the South Atlantic were found preying on three species of albatross chicks. Here, we show that house mice can also prey on nesting adult Laysan albatross (Phoebastrea immutabilis) on Midway Atoll National Wildlife Refuge (USA...
Total monthly water withdrawal and consumption estimates by 12-digit hydrologic unit code for surface-water and groundwater sourced utility-scale thermoelectric plants in the conterminous United States for 2015. Total monthly water withdrawal and consumption estimates by 12-digit hydrologic unit code for surface-water and groundwater sourced utility-scale thermoelectric plants in the conterminous United States for 2015.
This dataset presents the total monthly water withdrawal and consumption estimates for surface-water and groundwater sourced utility-scale thermoelectric power plants by 12-digit hydrologic unit code (HUC12) in the United States for 2015. The water withdrawal and consumption estimate methods and data are published in USGS Scientific Investigations Report 2019-5103 "Withdrawal and...
fishStan fishStan
fishStan is an R package (R Core Team 2020) providing a collection of hierarchical Bayesian models written in the Stan language as called through RStan (Stan Development Team 2020). The package is a USGS software software release. The purpose of the package is to document these models for use in USGS projects and allow easy discrimination. The package assumes the user is familiar with R...
Best Management Practices Statistical Estimator (BMPSE) Version 1.2.0 Best Management Practices Statistical Estimator (BMPSE) Version 1.2.0
The Best Management Practices Statistical Estimator (BMPSE) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office of Project Delivery and Environmental Review to provide planning-level information about the performance of structural best management practices for decision makers, planners, and highway engineers to assess...
Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM) Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)
This data release documents statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)(Granato, 2013). The U.S. Geological Survey (USGS) developed SELDM and the statistics documented in this report in cooperation with the Federal Highway Administration (FHWA) to indicate the risk for stormwater...