Data

This USGS data release presents data used to estimate and summarize where and when recharge occurs to the Columbia River Basalt Group (CRBG) in the Umatilla River basin, Oregon, 2014–2022. The supplemental data consist of two child items. The child items are: (1) Discrete geochemical data for groundwater and surface water samples in the Umatilla River basin, 2014–2022, and (2) Dissolved gas solu

Water-quality data and plankton samples were collected at multiple locations within the Fernhill Natural Treatment wetland and along the Tualatin River, located to the west of Portland, Oregon, during the summers of 2018, 2019 and 2020. Water quality parameters collected include water temperature, specific conductance, dissolved oxygen, pH, turbidity, chlorophyll, and blue green algae. Data were c

        Two dissolved-oxygen experiments were completed using internally logging water-quality monitors. Dissolved-oxygen sensors on the water-quality monitors were calibrated using various settings and at various elevations in Oregon, USA. Data from these experiments can be used 1) to assess how elevation affects dissolved-oxygen values recorded by continuous water-quality monitors, and 2) to inf

This data release contains the model input and output data, and supporting files, from hydrologic simulations of streamflow conditions in the upper Klamath River Basin using the Precipitation-Runoff Modeling System (PRMS). The model was calibrated for the portion of the basin draining into Upper Klamath Lake. It simulates daily streamflow, snow, solar radiation, evapotranspiration, surface-water,

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. The aeria

This data release contains total dissolved solids (TDS) concentrations and specific conductance (SC) measurements collected at surface-water monitoring locations and groundwater monitoring wells within the Upper Colorado River Basin (UCRB) between 1894 and 2022. Discrete TDS and SC results were obtained from the Water Quality Portal (WQP). Continuous SC monitoring results were obtained from the US

This data release presents tabular data used and analytical water-level modeling files generated as part of a U.S. Geological Survey study, done in cooperation with the Confederated Tribes of the Umatilla Indian Reservation, to evaluate water-level change from a multiple-well aquifer test in well 422 on the Umatilla Indian Reservation near Mission, Oregon. Water-level, pumping, and barometric-pres

This data release provides model inputs and outputs for a model that predicts redox conditions in groundwater in the contiguous United States. Input variables describe the hydrology, soils, geology, and hydrologic position of groundwater sample locations. The data release accompanies a journal article that describes model development and applications (Tesoriero_and_others_2023).

A three-dimensional groundwater flow model, MODFLOW 6, was developed to provide a better understanding of the hydrogeology of the Harney Basin, southeastern Oregon. The model was used to investigate the historical groundwater-level decline and storage loss associated with anthropogenic groundwater demands. The model was calibrated to 1930 through 2018 conditions. This USGS data release contains al

This metadata record describes data that characterize low-flow period duration and seasonality, as well as trends and climate linkages at streamgages across the conterminous United States. These data are associated with a publication which looks to answer three questions about low-flow periods in the conterminous United States: (1) how long are these periods and when do they typically start and en

This data release contains the model inputs, outputs, and source code (written in R) for the boosted regression tree (BRT) and artificial neural network (ANN) models developed for four sites in Upper Klamath Lake which were used to simulate daily maximum pH and daily minimum dissolved oxygen (DO) from May 18th to October 4th in 2005-12 and 2015-19 at four sites, and to evaluate variable effects an

This data release contains the source code for the 1-D Deep Ventilation (1DDV) model (written in the Matlab programming language), and the input and output data from that model that were used to simulate temperature, salinity, and dissolved oxygen (DO) at specific depths in the lake. The input data consisted of: 1. daily average surface water temperature either a. collected by thermistors (Crawfor