Data

Using the horizontal-to-vertical spectral-ratio (HVSR) method, we inferred the depth to bedrock at the Slate River Floodplain, CO, USA. The point-scale passive seismic data were collected using Model TEP-3C Tromino seismometers over 20 min or less intervals with the instruments coupled directly to the floodplain ground surface at 42 non-flooded locations during June 2021. The ratio of...

The U.S. Geological Survey evaluated the stability of water-sample chemical analysis of nutrient, alkalinity, and acid neutralizing capacity constituents with respect to the duration between sample collection and laboratory analysis, also known as sample holding times. Included in this data release are results used to evaluate the stability of the chemical properties alkalinity (as...

This data release contains hydrologic network information to support national modeling of water quality in streams and rivers, including distance matrices that represent the spatial relationships among modeled river reaches. These data can be used as inputs to data-driven models that leverage information about spatial proximity to make predictions of water quantity or quality. The...

This dataset consists of tabular data of observed streamflow, URL links to timelapse images, and deep learning model predictions for 11 sites in western Massachusetts. The dataset also includes a record of annotation data used to train the deep learning models. This data release is supporting information for an associated journal article describing the data collection, development of the...

Salinity levels in streams and tributaries of the Colorado River Basin have been a major concern for years. Recently, the United States Geological Survey’s (USGS) Next Generation Water Observing System (NGWOS) program expanded stream monitoring networks including the number of sites where continuous (15-minute) specific conductance is measured in the Colorado River Headwaters and...

This data release contains inputs for and outputs from a hydrologic simulation for the conterminous United States (CONUS) using the WRF-Hydro modeling system version 5.2.0 (Gochis and others, 2020) at the NHDPlus version 2 spatial resolution. This simulation was developed to provide water budget estimates for the period 10/1/2009 to 9/30/2021 using the bias adjusted version of the...

This data release contains inputs for and outputs from hydrologic simulations for the conterminous United States (CONUS) using the Precipitation Runoff Modeling System (PRMS) version 5.2.1 and the USGS National Hydrologic Model infrastructure (NHM, Regan and others, 2018). These simulations were developed to provide estimates of the water budget for the period 1979 to 2021 for one pre...

This data release contains inputs for and outputs from hydrologic simulations for the conterminous United States (CONUS) using the Precipitation Runoff Modeling System (PRMS) version 5.2.1 and the USGS National Hydrologic Model infrastructure (NHM, Regan and others, 2018). These simulations were developed to provide estimates of the water budget for the period 1980 to 2021 for one pre...

This data release contains inputs for and outputs from hydrologic simulations for Puerto Rico using the Precipitation Runoff Modeling System (PRMS) version 5.2.1, the USGS National Hydrologic Model infrastructure (NHM, Regan and others, 2018), National Hydrologic Geospatial Fabric version 1.0 (Viger and Bock, 2014), and the Daymet version 4 (Thornton et. al., 2020) atmospheric forcing...

The stable hydrogen (delta 2H) and oxygen (delta 18O) isotopic compositions of more than 1,400 daily or weekly composite samples of precipitation from four National Atmospheric Deposition Program (NADP) sites (VA10, VA27, VA28, and WV99) in Virginia and West Virginia were analyzed on archived samples obtained from NADP over various time periods from as early as 1998. The samples are from...

This data release includes data processing scripts, data products, and associated metadata for a study investigating trends in Mississippi River nitrogen and phosphorus loads to the Gulf of Mexico. This data release consists of three main components: 1) Nitrogen and phosphorus balances and accumulation, which account for major nutrient inputs (fertilizer, manure, waste water treatment...

We developed a suite of models using deep learning to make hindcast predictions of the 7-day average backward-looking nitrate concentration at 46 predominantly agricultural sites across the midwestern and eastern United States. The models used daily observations of discharge and meteorological variables and static watershed attributes describing anthropogenic modification to hydrology...