Data Releases
The data collected and the techniques used by USGS scientists should conform to or reference national and international standards and protocols if they exist and when they are relevant and appropriate. For datasets of a given type, and if national or international metadata standards exist, the data are indexed with metadata that facilitates access and integration.
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Physical and Hydraulic Monitoring on the Yellowstone River Fish Bypass Channel, Montana, May 2022 to August 2023 Physical and Hydraulic Monitoring on the Yellowstone River Fish Bypass Channel, Montana, May 2022 to August 2023
This data release was produced by the U.S. Geological Survey (USGS) in cooperation with the Bureau of Reclamation to present the results of monitoring efforts on the Yellowstone River fish bypass channel according to the specifications of the Lower Yellowstone Adaptive Management and Monitoring Plan. The fish bypass channel was constructed to provide upstream migrating fish with a route...
Vegetation survey and photointerpretation data for Metzger Marsh, OH, USA (1994-2022) Vegetation survey and photointerpretation data for Metzger Marsh, OH, USA (1994-2022)
These datasets represent USGS-led coastal wetland vegetation survey and mapping efforts at Metzger Marsh, part of the Ottawa National Wildlife Refuge (Ohio, USA) along the coast of western Lake Erie between 1994 and 2022. Vegetation quadrat data provide percent cover estimates per sampling quadrat and overall mean percent cover (MPC) values per species by vegetation type from 1994, and...
inldata---Collection of datasets for the U.S. Geological Survey-Idaho National Laboratory Aquifer Monitoring Networks, v1.1 inldata---Collection of datasets for the U.S. Geological Survey-Idaho National Laboratory Aquifer Monitoring Networks, v1.1
The inldata package is a collection of analysis-ready datasets for the U.S. Geological Survey - Idaho National Laboratory (USGS-INL) groundwater and surface-water monitoring networks, administered by the USGS-INL Project Office in cooperation with the U.S. Department of Energy. The data collected from wells and surface-water stations at the Idaho National Laboratory and surrounding areas...
Datasets for the U.S. Geological Survey - Idaho National Laboratory groundwater and surface-water monitoring networks, v1.1 Datasets for the U.S. Geological Survey - Idaho National Laboratory groundwater and surface-water monitoring networks, v1.1
A collection of analysis-ready datasets for the U.S. Geological Survey - Idaho National Laboratory (USGS-INL) groundwater and surface-water monitoring networks, administered by the USGS-INL Project Office in cooperation with the U.S. Department of Energy. The data collected from wells and surface-water stations at the Idaho National Laboratory and surrounding areas have been used to...
Imputed daily salinity and associated covariates to support statistical modeling for 91 salinity monitoring sites in the northern Gulf of Mexico Imputed daily salinity and associated covariates to support statistical modeling for 91 salinity monitoring sites in the northern Gulf of Mexico
Imputed salinities from either salinity or specific conductance observations and covariate data in data structures deemed suitable for statistical modeling of salinity in near-coastal environments of the northern Gulf of Mexico are provided for 15 salinity groups. The data herein were created by the 'covardr2formodel.R' script of 'covESTUSAL software' (Asquith and others, 2023), which...
Three-Dimensional Delineation of the Pierre Shale Bedrock from Electrical Resistivity Surveys Conducted in Two Areas of Interest Within and Near Ellsworth Air Force Base, South Dakota, 2022 Three-Dimensional Delineation of the Pierre Shale Bedrock from Electrical Resistivity Surveys Conducted in Two Areas of Interest Within and Near Ellsworth Air Force Base, South Dakota, 2022
In 2022, the USGS, in cooperation with the U.S. Air Force Civil Engineer Center (USAF/CEC), performed geophysical surveys at two areas of interest within and near Ellsworth Air Force Base (EAFB) to delineate the Cretaceous Pierre Shale bedrock. Electrical resistivity tomography (ERT) data were collected in two grid patterns using the dipole-dipole array within and near EAFB and site...