Data

This data release presents chemical and biological results from investigations of water quality, fish endocrine disruption, and emergent insects in the Shenandoah River Watershed (Virginia and West Virginia, USA) conducted during 2014, 2015, and 2016. Multiple sampling campaigns were conducted at sites located throughout the Shenandoah River Watershed (Table 1). The complex inorganic and organic c

This data release has been superseded by version 3.0, available here: https://doi.org/10.5066/P9MJVQSQ Quantifying Western U.S. shrublands as a series of fractional components with remote sensing provides a new way to understand these changing ecosystems. The USGS NLCD team in collaboration with the BLM has produced the most comprehensive remote sensing-based quantification of Western U.S. shrubl

This data set provides the results of a conservation prioritization analysis for wadeable streams in Missouri, USA. Higher values (Maximum of 1) represent higher conservation value. Conservation values were derived using Zonation conservation planning software which used species distribution models, a prioritization algorithm (either Core-Area or Additive Benefit), species weighting (None, Vulnera

This data release contains chemical and isotopic data used in an investigation of nitrate sources and transport in the Upper Illinois River basin. Samples (total = 445) include river water from the Upper Illinois River and its major tributaries plus urban wastewater and agricultural groundwater. Data include concentrations of nitrate, chloride, and sulfate; isotope ratios of N and O in nitrate; an

Point clouds, high resolution digital surface models (DSM), and high resolution orthoimagery of Palmyra Atoll, USA, were generated from aerial 3-color and 5-band imagery collected October 2016 using Unoccupied Aerial Systems (UAS, or "drones"). Data were processed in sections corresponsing to flight areas using photogrammetry to generate three-dimensional point clouds (.las) by identifying pixels

This data set describes nuclear microsatellite genotypes derived from ten autosomal loci (Aph8, Aph16, Cmo7, Cmo9, Hhi5, Sfi10, Smo4, Smo6, Smo8, Smo12) and nucleotide sequence data derived from one mitochondrial DNA locus (control region). A total of 262 Spectacled Eiders were examined for this study. Samples were collected at Indigirka and Chaun River Deltas, Russia, and Yukon-Kuskokwim Delta, U

The U.S. Geological Survey Precipitation-Runoff Modeling System (PRMS) was used to assess the effects of changing climate and land disturbance on seasonal streamflow in the Rio Grande Headwaters (RGHW) region. Three applications of PRMS in the RGHW were used to simulate 1) baseline effects of climate, 2) effects of bark-beetle induced tree mortality, and 3) effects of wildfire, on components of th

The primary data set consists of continuous water-quality data (temperature, specific conductance, pH, dissolved oxygen, turbidity, nitrate plus nitrite, and streamflow) from in-situ equipment, and discrete water-quality samples (total nitrogen, total phosphorus, suspended sediment concentration, and suspended sediment sieve diameter) collected during site visits at the USGS streamgage Iroquois Ri

In 'Predicted (1989-2015) and forecasted (2015-2114) estimates for rate of change and recovery of sagebrush (Artemisia spp.) following energy development in southwestern Wyoming, USA', we provide spatially- and temporally-explicit maps of predictions for the rate of change and time to recovery and percent recovery of sagebrush cover after 100 years (Monroe et al. In Review). The rasters beginning

This data release contains the calibration data set and R code used to create regression models for estimating daily loads of suspended sediment, total nitrogen, and total phosphorus at the Iroquois River near Foresman, Indiana streamgage (05524500). The USGS R software package, rloadest, was used to develop the regression models and estimate loads. The models were developed using discrete water-q

This data release includes metrics from the Regional Stream Quality Assessment (RSQA) from the Southeast Region for habitat stressors related to water-quality and habitat substrate. The goals of RSQA are to characterize multiple water-quality factors that are stressors to aquatic life -- contaminants, nutrients, sediment, and streamflow alteration -- and to develop a better understanding of the re

This data release includes data-processing scripts, data products, and associated metadata for a remote-sensing based approach to characterize vegetation sensitivity to droughts from 2000 through 2016 in the U.S. states of Washington, Oregon, and Idaho. Drought sensitivity analysis was conducted in minimally-disturbed ('intact') forest and shrub-steppe ecosystems, defined as 1-km pixels (i.e., gri