Data

Hydraulic conductivity (K), calculated at wells in and near Cottonwood Lake Study Area, North Dakota.

Groundwater-quality data were collected from 559 wells as part of the National Water-Quality Assessment Project of the U.S. Geological Survey National Water-Quality Program from January through December 2014. The data were collected from four types of well networks: principal aquifer study networks, which assess the quality of groundwater used for public water supply; land-use study networks, whic

These tables document grain-size distributions of sediment collected as part of a study on the geomorphic impacts of the March 2014 State Route 530 Landslide near Oso, Washington. This includes samples of material from the landslide deposit itself, covering a range of distinct facies present in the landslide, and samples of sand and gravel at various locations along the North Fork Stillaguamish Ri

Ecological assessment data from the USGS National Water-Quality Assessment Program and the USEPA National River and Stream Assessment were reviewed and records were retained from sampling sites co-located with active USGS stream gages. A limited amount of ancillary data, including location, physical watershed features, and basic water chemistry data for each site were also retained.

Switchgrass (Panicum virgatum) has been evaluated as one potential source for cellulosic biofuel feedstocks. Planting switchgrass in marginal croplands and waterway buffers can reduce soil erosion, improve water quality, and improve regional ecosystem services (i.e., it serves as a potential carbon sink). In this study, we integrated marginal croplands, highly erodible cropland buffers, and future

This data set contains information regarding the sampling of avian influenza viruses from mallard ducks at locations in Anchorage and Fairbanks, Alaska 2012-2015. Data pertaining to wild birds (mallards) sampled includes band numbers, age and sex, location and timing of sampling. Laboratory specific data is also included and used to identify presence and absence of avian influenza viruses either d

This data set compiles the major and trace element chemistry of rock samples collected by the U.S. Geological Survey (USGS) at Bokan Mountain, located in the southern part of Prince of Wales Island, southeastern Alaska. Bokan Mountain was formed by an Early Jurassic peralkaline igneous complex that intruded into lower Paleozoic rocks of the Alexander terrane of southeast Alaska. The pluton and sur

This USGS Data Release represents geospatial and tabular data for the Nisqually River Delta historical habitat mapping. The data release was produced in compliance with the new 'open data' requirements as a way to make the scientific products associated with USGS research efforts and publications available to the public. The dataset consists of 9 separate items: 1. Forest Change (raster datase

Application of dairy manure to cropland is intended to provide nutrients for crop growth and improve soil quality, the goal being to match the rate of nutrient application to that rate of nutrient removal by the crop. Nitrate contamination of groundwater is widespread and persistent in the shallow surficial aquifer of northwestern Whatcom County where dairy farming and forage production is a prima

This dataset was collected by Leah E. Morgan and Michael A. Cosca in the Argon Geochronology Laboratory of the USGS in Denver, Colorado in 2015. The dataset contains full raw argon isotopic data for samples presented in: Geologic Map of the Poncha Map Area, Chaffee, Fremont, and Saguache Counties, Colorado.

The U.S. Geological Survey (USGS) worked in cooperation with the Federal Emergency Management Agency (FEMA) to document the June, 2016 storm event in West Virginia. Heavy rainfall occurred across central and southern West Virginia in June 2016 as a result of repeated rounds of torrential thunderstorms. The storm caused major flooding and flash flooding, with Kanawha, Fayette, Nicholas, and Greenbr

The dataset includes Land Use/Land Cover types throughout the Chenier Eco-Region in Southwest Louisiana. Using the 2015 National Aerial Imagery Program (NAIP) dataset (1m) as the basemap, E-Cognition image objects were derived from the multiresolution segmentation algorithm at 75 and 250 segments. Attempts to refine the data training methods using E-cognition, to extrapolate automating categories