All Data

Management efforts of the tidally-restricted Herring River in Wellfleet, MA include research to understand pre-restoration sediment conditions. Submerged multiparameter sondes that measure optical turbidity were deployed at four sites landward and seaward of the Herring River restriction. Periodically, the sites were visited and additional turbidity measurements were collected with a handheld mult

The U.S. Geological Survey (USGS) Soil Sample Archive is a database of information describing soil and sediment samples collected in support of USGS science. Samples in the archive have been registered with International Generic Sample Numbers, relabeled with bar-coded sample labels, and repacked in containers for long-term preservation. Details of sample collection location, collection date, asso

This metadata record describes a series of data sets of natural, climatic, and anthropogenic landscape features processed as model inputs for the Data-Driven Drought Prediction Project of the Water Resources Mission Area Drought Program. These data are linked to two different spatial units: the National Hydrologic Geospatial Fabric version 1.1 (nhgfv1.1) including their associated individual catch

The Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM), which was originally developed by Hanson and others (2020) (https://doi.org/10.3133/sir20195120), was updated and recalibrated to minimize the biases in RGTIHM?s simulation of streamflow and to incorporate new estimates of historical agricultural consumptive use in the study area. The RGTIHM was developed through an interagency eff

The Rio San Jose Integrated Hydrologic Model (RSJIHM) is a sequentially linked, integrated hydrologic model utilizing the Precipitation-Runoff Modeling System (PRMS) (version 5.2.0) and MODFLOW-NWT (version 1.2.0) that was developed to provide a tool for analyzing the hydrologic system response to historical water use and potential changes in water supplies and demands in the Rio San Jose Basin. P

The U.S. Geological Survey, in cooperation with the Trinity River Authority, the Tarrant Regional Water District, the City of Dallas, and the North Texas Municipal Water District, constructed a finite-difference numerical groundwater-flow model of the Trinity River alluvium aquifer using MODFLOW with the Newton formulation solver (MODFLOW-NWT). This model, along with a surface water model and an a

These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in comma-delimited table format, generated from hydrographic and velocimetric surveys near highway bridge structures over the Missouri and Mississippi Rivers near St. Louis, Missouri, August 3–10, 2020. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), wh

These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in comma-delimited table format, generated from hydrographic and velocimetric surveys near highway bridge structures over the Missouri and Mississippi Rivers on the periphery of Missouri, June 13-22, 2021. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS),

These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in comma-delimited table format, generated from hydrographic and velocimetric surveys near highway bridge structures over the Missouri River between Kansas City and St. Louis, Missouri, May 19–26, 2021. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), wh

In 2019 and 2020, the U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Energy (DOE) for Naval Reactors Laboratory Field Office or Naval Reactors Facility (NRF), drilled and constructed borehole USGS 152 (433906112553401) for seismic and stratigraphic framework analyses at the Idaho National Laboratory (INL) near the NRF, located in southeastern Idaho. Borehole USGS 152 was

These data were compiled for a manuscript entitled 'Vital rates of a burgeoning population of Humpback Chub in western Grand Canyon. Objective(s) of our study were to compare survival and growth of humpback chub in western Grand Canyon to that from the more established metapopulation in eastern Grand Canyon that spawns in the Little Colorado River (LCR). These data represent capture histories of f

These datasets were created in support of the U.S. Geological Survey's (USGS) Next Generation Water Observing System (NGWOS) for the Delaware River Basin pilot study (Eberts, Wagner, and Woodside, 2019). The NGWOS utilizes real-time data, improved computational capabilities, and new technologies such as unmanned aerial vehicles (UAV) and autonomous underwater vehicles (AUV) to provide information