All Data

This data release provides the concentration results for per- and polyfluoroalkyl substances (PFAS) collected on French Island, in the town of Campbell, Wisconsin, sampled quarterly beginning in 2021. These samples were collected from groundwater wells (potable and non-potable taps) by the U.S. Geological Survey (USGS) Upper Midwest Environmental Science Center (UMESC). Three U.S...

In May 2021, the Grand Canyon Monitoring and Research Center (GCMRC) of the U.S. Geological Survey’s (USGS), Southwest Biological Science Center (SBSC) acquired airborne multispectral high resolution data for the Colorado River in Grand Canyon in Arizona, USA. The imagery data consist of four bands (Band 1 – red, Band 2 – green, Band 3 – blue, and Band 4 – near infrared) with a ground...

These data represent trapping effort and captures of deer mice at Point Reyes National Seashore, Marin County, California. Deer mice were captured and marked with ear tags to allow identification of individuals. The location of captures can be used in a spatially explicit capture recapture model to estimate density of mice and how mouse density varies by site and habitat type.

This repository contains code to fit Spatially-Explicit Capture Recapture (SECR) Models to trapping data for Peromyscus sonoriensis (deer mice) at Point Reyes National Seashore and reproduce analyses in the following manuscript: Rose, J.P., Parsons, L.S., Kleeman, P.M., and Halstead, B.J. 2024. Effect of invasive plant removal on the density of Peromyscus sonoriensis (western deer mice)...

We used free-ranging northern elephant seals as a model species to investigate maternal transfer of mercury (Hg) to pups in relation to maternal traits, including maternal blood mercury concentrations, and to quantify the links between pup lanugo mercury concentrations and maternal mesopelagic foraging behavior during gestation. We satellite tracked known-age adult females at sea during...

The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to...

Vegetation change is an important issue facing managers at Isle Royale National Park (ISRO). These data were created using high-resolution imagery collected in the winter of 2017 which was compared to the vegetation map of the National Park published in 2000 (project imagery collected in 1994 and 1996). These data review where vegetation cover type, density, and pattern have changed...

The Mississippi Alluvial Plain (MAP) is one of the most productive agricultural regions in the US and extracts more than 11 km3/year for irrigation activities. The heavy drivers of groundwater use are aquaculture and crops, which include rice, cotton, corn, and soybeans (Wilson, 2021). Consequently, groundwater-level declines in the MAP region (Clark and others, 2011) pose a substantial...

This dataset includes georeferenced, high-resolution, airborne thermal infrared (TIR) and high-resolution true-color imagery, a polyline shapefile of the channel centerline, a polyline shapefile with TIR sample points for longitudinal stream temperature profiles, and a tabular file with longitudinal stream temperature profiles for the Donner und Blitzen River and its tributaries, Oregon...

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...

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...

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...