Data
Browse real-time data, data releases and more.
All Data
All Data
Filter Total Items: 17125
Input and output data from streamflow and water-quality regression models used to characterize streamflow and water-quality conditions in the Upper Yampa River Basin, Colorado, from 1992-2018 Input and output data from streamflow and water-quality regression models used to characterize streamflow and water-quality conditions in the Upper Yampa River Basin, Colorado, from 1992-2018
This dataset includes input and output data from streamflow and water-quality regression models used to characterize streamflow and water-quality conditions in the Upper Yampa River Basin, Colorado from 1999-2018. All input data, including discrete and continuous streamflows and discrete concentrations of suspended sediment, Kjeldahl nitrogen, and total phosphorus, were compiled from the...
Input and results from a boosted regression tree (BRT) model relating base flow nitrate concentrations in the Chesapeake Bay watershed to catchment characteristics (1970-2013) Input and results from a boosted regression tree (BRT) model relating base flow nitrate concentrations in the Chesapeake Bay watershed to catchment characteristics (1970-2013)
This data release contains a boosted regression tree (BRT) model (written in the R programming language), and the input and output data from that model that were used to relate base flow nitrate concentrations in the Chesapeake Bay watershed to catchment characteristics. The input data consists of two types of information: 1) surface water nitrate concentrations collected by the USGS and
Input data, model output, and R scripts for a machine learning streamflow model on the Wyoming Range, Wyoming, 2012-17 Input data, model output, and R scripts for a machine learning streamflow model on the Wyoming Range, Wyoming, 2012-17
A machine learning streamflow (MLFLOW) model was developed in R (model is in the Rscripts folder) for modeling monthly streamflow from 2012 to 2017 in three watersheds on the Wyoming Range in the upper Green River basin. Geospatial information for 125 site features (vector data are in the Sites.shp file) and discrete streamflow observation data and environmental predictor data were used...
Input Files and Code for: Machine learning can accurately assign geologic basin to produced water samples using major geochemical parameters Input Files and Code for: Machine learning can accurately assign geologic basin to produced water samples using major geochemical parameters
As more hydrocarbon production from hydraulic fracturing and other methods produce large volumes of water, innovative methods must be explored for treatment and reuse of these waters. However, understanding the general water chemistry of these fluids is essential to providing the best treatment options optimized for each producing area. Machine learning algorithms can often be applied to...
Inputs and Selected Outputs Used to Assess Spatial and Temporal Patterns in Streamflow, Water-Chemistry, and Aquatic Macroinvertebrates of Selected Streams in Fairfax County, Virginia, 2007-2018 Inputs and Selected Outputs Used to Assess Spatial and Temporal Patterns in Streamflow, Water-Chemistry, and Aquatic Macroinvertebrates of Selected Streams in Fairfax County, Virginia, 2007-2018
Nitrogen (N), phosphorus (P), and suspended-sediment (SS) loads, in Fairfax County, Virginia streams have been calculated using monitoring data from five intensively monitored watersheds for the period from water year (October - September) 2008-2017. Nutrient and suspended-sediment loads were computed using a surrogate (multiple-linear regression) approach with lab analyzed N, P, and SS...
Inputs and Selected Predictions of a Differential Spatially Referenced Regression Model for 20-year Changes in Total Nitrogen in the Chesapeake Bay Watershed Inputs and Selected Predictions of a Differential Spatially Referenced Regression Model for 20-year Changes in Total Nitrogen in the Chesapeake Bay Watershed
The core equations of the SPARROW model (Schwarz and others, 2006) were implemented in differential form using the R programming language (R Core Team, 2017), as the basis of a tool for empirically relating a regional pattern of changes in constituent flux, over a multi-year period, to spatially referenced changes in explanatory variables over the same period. A pilot implementation was...
Insect community responses to climate and weather across elevation gradients in the Sagebrush Steppe, eastern Oregon 2012 and 2013 Insect community responses to climate and weather across elevation gradients in the Sagebrush Steppe, eastern Oregon 2012 and 2013
In this study, the U.S. Geological Survey investigated the use of insects as bioindicators of climate change in sagebrush steppe shrublands and grasslands in the Upper Columbia Basin. The research was conducted in the Stinkingwater and Pueblo mountain ranges in eastern Oregon on lands administered by the Bureau of Land Management. We used a "space-for-time" sampling design that related i...
Insect community responses to climate and weather across elevation gradients in the Sagebrush Steppe, eastern Oregon 2012 and 2013 Insect community responses to climate and weather across elevation gradients in the Sagebrush Steppe, eastern Oregon 2012 and 2013
In this study, the U.S. Geological Survey investigated the use of insects as bioindicators of climate change in sagebrush steppe shrublands and grasslands in the Upper Columbia Basin. The research was conducted in the Stinkingwater and Pueblo mountain ranges in eastern Oregon on lands administered by the Bureau of Land Management. We used a "space-for-time" sampling design that related...
Insect Emergence from Arctic Coastal Plain Thaw Ponds, 2012-2013 Insect Emergence from Arctic Coastal Plain Thaw Ponds, 2012-2013
This dataset provides information on the identity and number of insects that emerged from thaw pond basins on the central Arctic Coastal Plain, Alaska, during the summer growing season in 2012 and 2013. Collections were made using passive floating emergence traps in pond centers and margins from four types of ponds: low centered polygons, troughs, small coalescent, and large coalescent...
Insecticide and fungicide concentrations in irrigation runoff and soils from a lettuce field in the Salinas Valley, California, 2019 and 2020 Insecticide and fungicide concentrations in irrigation runoff and soils from a lettuce field in the Salinas Valley, California, 2019 and 2020
Irrigation runoff and soil samples were collected from a lettuce field located at the USDA-ARS Spence Research farm in the Salinas Valley, California to measure neonicotinoid insecticides (clothianidin and imidacloprid) and a fungicide (azoxystrobin) applied via coated seed and drench treatments. The field trial was designed to evaluate four treatments with replication: 1) control...
Integrated modeling of climate and land change impacts on future dynamic wetland habitat – a case study from California’s Central Valley Integrated modeling of climate and land change impacts on future dynamic wetland habitat – a case study from California’s Central Valley
This dataset consists of raster geotiff and tabular outputs of annual map projections of land use and land cover for the California Central Valley for the period 2011-2101 across 5 future scenarios. Four of the scenarios were developed as part of the Central Valley Landscape Conservation Project. The 4 original scenarios include a Bad-Business-As-Usual (BBAU; high water, poor management)
Interactive PHREEQ-N-Titration-PO4-Adsorption water-quality modeling tools to evaluate potential attenuation of phosphate and associated dissolved constituents by aqueous-solid equilibrium processes (software download) Interactive PHREEQ-N-Titration-PO4-Adsorption water-quality modeling tools to evaluate potential attenuation of phosphate and associated dissolved constituents by aqueous-solid equilibrium processes (software download)
Two complementary executable water-quality modeling tools (CausticTitration_PO4mg.exe, CausticTitration_PO4moles.exe) simulate equilibrium processes that may attenuate dissolved concentrations of phosphate (PO4) plus associated concentrations of iron (Fe), aluminum (Al), manganese (Mn), calcium (Ca), and sulfate (SO4) as pH and other solution characteristics change during titration with...