Data

We developed this spatial database of historic and current floodplains to analyze trends in vegetation conditions, identify areas more at risk of degradation, and assess the relationship between riparian vegetation dynamics and climate conditions.Our study area is the riparian areas along the San Carlos River and Gila River within the San Carlos Apache Reservation and the Upper Gila...

Regional geologic investigations show that all the metamorphosed crystalline rocks underlying the Greenville 1 degree x 2 degree quadrangle are allochthonous. Seismic-reflection studies, the COCORP line (Cook and others, 1979), and the U.S. Geological Survey (USGS) seismic lines (Harris and Bayer, 1979; Harris and others, 1981) present seismic profiles across different parts of the...

We apply a research approach that can inform riparian restoration planning by developing products that show recent trends in vegetation conditions identifying areas potentially more at risk for degradation and the associated relationship between riparian vegetation dynamics and climate conditions. The vegetation is characterized using a series of remote sensing vegetation indices...

DataRetrieval.jl is a Julia alternative to the R dataRetrieval package for obtaining USGS water data directly from web services.

These data are geochemical analyses of phase equilibria experiments.

This dataset contains paleomagnetic data from 30 sites at two locations in northern California (16 sites at Ash Creek Butte and 14 sites at Crater Mountain), magnetic susceptibility-temperature curves for selected samples at Ash Creek Butte, and geochemical data for map units at Crater Mountain.

The dataset accompanies the scientific article, "Reconstructing missing data by comparing interpolation techniques: applications for long-term water quality data." Missingness is typical in large datasets, but intercomparisons of interpolation methods can alleviate data gaps and common problems associated with missing data. We compared seven popular interpolation methods for predicting...

This dataset contains measurements of dissolved hydrocarbons in from groundwater samples collected in the shale gas producing regions of West Virginia, USA, between June and August of 2018. The target analytes in this study were: methane (CH4), ethane (C2H6), ethene (C2H4), ethyne (C2H2), propane (C3H8), propene (C3H6), i-butane (C4H10), n-butane (C4H10), 1-butene (C4H8), propyne (C3H4)...

The semi-arid Walla Walla River Basin (WWRB) spans 1,777 square miles in Washington and Oregon and supports a diverse agricultural region as well as cities and rural communities that are partially reliant on groundwater. Historically, surface-water and groundwater data have been collected in the WWRB by federal, state, local, and tribal governments, irrigation districts, universities...

This data release is comprised of data tables of input variables for seawaveQ and surrogate models used to predict concentrations of select pesticides at six U.S. Geological Survey National Water Quality Network (NWQN) river sites (Fanno Creek at Durham, Oregon; White River at Hazleton, Indiana; Kansas River at DeSoto, Kansas; Little Arkansas River near Sedgwick, Kansas; Missouri River...

These datasets provide the locations of and groundwater-level altitudes from 273 wells that were used to construct a 2015 potentiometric contour surface of the Sparta-Memphis aquifer. Measurements were made from January through June 2015 and represent synoptic conditions. All wells were cased completely in and screened in the Sparta-Memphis aquifer. Groundwater-level data are also...

This Data Release is comprised of datasets used for the development of a hydrogeologic visualization model for western Sarpy County. Additional documentation on model development can be found in the associated Scientific Investigations Report. In 2016, the Papillion-Missouri River Natural Resources District (PMRNRD) contracted airborne electromagnetic surveys (AEM) of the area to be...