Data

Observations of irrigated agricultural land within the Willcox Groundwater Basin in Arizona. Crops were verified in situ three times in 2023, first on May 3rd, then on Aug 16th, and finally on Dec 19th; based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agriculture Imagery Program County Mosaic 2023 imagery for Arizona and supplemente

Observations of irrigated agricultural land within the Douglas Active Management Area Groundwater Basin in Arizona. Crops were verified in situ twice in 2023, first on May 4th and again on Aug 16th; based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agriculture Imagery Program County Mosaic 2023 imagery for Arizona and supplemented wi

This dataset contains sample information about the origin of the butterflies sequenced, and their corresponding SNP genotype data. These data were used to examine patterns of genomic structure of the Karner blue butterfly from throughout its range. The raw sequence data are archived in the GenBank Bioproject PRJNA995790 at: https://www.ncbi.nlm.nih.gov/bioproject/

In 2021, scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC) conducted ground penetrating radar (GPR) and sediment sampling surveys on barrier islands located along the central Florida Gulf Coast (CFGC), Pinellas County, Florida. This study investigated the past evolution of the CFGC from field sites at Anclote Keys, Caladesi and Honeymoon Isla

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS – SPCSMC), conducted a single-beam bathymetry survey within Point Aux Chenes Bay, Mississippi, in June 2022 under the USGS Field Activity Number (FAN) 2022-320-FA. The data was collected from two personal watercrafts (PWC): RV Shark (SubFAN 22CCT09, WVR1) and RV Chum (SubFAN 22CCT10, WVR2). A resurvey

This data release consists of statistical predictions of daily salinity time series generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope includes the predicti

As part of the Coastal Sediment Availability and Flux and DUring Nearshore Event eXperiment (DUNEX) projects, scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center and U.S. Army Corps of Engineers, Engineer Research and Development Center (USACE-ERDC) conducted repeat, nearshore geophysical surveys to map the shoreface and characterize stratigraphy near

The Quillayute River Basin in northwestern Washington consists of the Quillayute River and the river systems of its major tributaries, the Dickey, Sol Duc, and Bogachiel Rivers. With a drainage area of 629 square miles, the Quillayute River Basin provides important habitat for 23 distinct runs of anadromous steelhead and salmon, representing one of the largest and most productive watersheds on the

We quantified the relative abundance of greater sage-grouse (Centrocercus urophasianus) populations within Bureau of Land Management (BLM) Sagebrush Focal Areas (SFAs).

The data release for the geologic map of the Dillon 1 x 2 degrees quadrangle, Idaho and Montana, is a Geologic Map Schema (GeMS)-compliant version that updates the GIS files for the geologic map published in U.S. Geological Survey (USGS) Miscellaneous Investigations Series Map I-1803-H (Ruppel and others, 1993). The updated digital data present the attribute tables and geospatial features (lines a

This volume's release consists of 325099 media files captured by autonomous wildlife monitoring devices under the project, USDA White Mountain National Forest. The attached files listed below include several CSV files that provide information about the data release. The file, "media.csv" provides the metadata about the media, such as filename and date/time of capture. The actual media files are ho

This volume's release consists of 320104 media files captured by autonomous wildlife monitoring devices under the project, Maine Department of Inland Fisheries and Wildlife. The attached files listed below include several CSV files that provide information about the data release. The file, "media.csv" provides the metadata about the media, such as filename and date/time of capture. The actual medi