Data

This data release is focused on the analysis of surface water concentration data associated with 12 elements of concern from three hydrologic basins. Data is analyzed with respect to: a) reporting limits, b) the extent of censored data, c) co-location with USGS real-time sensor data, and d) median concentrations at the catchment spatial scale. The Proxies Project (under the Water Quality...

Data on carbon and nutrient processing in key locations and over seasonal time scales can provide critical information about the concentrations and potential utilization rates of bioavailable constituents that are known to have a role in cyanobacteria harmful algal blooms (cyanoHABs). Laboratory experiments were performed to measure seasonal nutrient processing rates of carbon, nitrogen...

This data release contains three variables from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS) version 1.1 modeling application forced with CONUS404-BA (Markstrom and others, 2024) from January 1st, 1980 through September 25th, 2021 that are summarized to a twelve-digit hydrologic unit code for the spatial extent of the conterminous...

A Cessna 182 fixed-wing aircraft equipped with a multispectral camera was used to collect aerial imagery of selected river reaches within the Willamette River Integrated Water Science basin in Oregon. On April 16-18, 2024, image acquisition was focused on four reaches of the Clackamas River. Photogrammetry techniques were applied to the images consisting of visible or red, green, and...

This dataset contains site information, basin characteristics, results of flood-frequency analysis, and results of Bayesian weighted least-squares/Bayesian generalized least-squares (B-WLS/B-GLS) analysis of regional skewness of the annual peak flows for 785 streamflow gaging stations (streamgages) operated by the U.S. Geological Survey (USGS) in the Tennessee and parts of the Ohio and...

This dataset contains site information, results of at-site flood-frequency analysis, and results of Bayesian weighted least-squares/Bayesian generalized least-squares (B-WLS/B-GLS) analysis of regional skewness of the annual peak flows for 405 streamflow gaging stations (streamgages) operated by the U.S. Geological Survey (USGS) in parts of the Mid-Atlantic and South-Atlantic-Gulf...

The collection and analysis of fluvial sediment samples has been an integral part of hydrologic studies in the United States for over 125 years (Gordon and others, 2000). Accurate measurement of sediment concentrations and its movement in streams is critical to maintaining important infrastructure and habitats in the Nation’s waterways, such as impoundments and estuaries (Hudson and...

This model archive (Fan et al. 2025a) provides all data, code, and model outputs used in the corresponding manuscript (Fan et al. 2025b) to test machine learning (ML) methods for downscaling and multi-scale modeling of stream temperature to combine an ML model and/or input data at coarse spatial resolution with an ML model and/or input data at fine spatial resolution to predict stream...

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...