Skip to main content
U.S. flag

An official website of the United States government

Data

The USGS Water Resources Mission Area provides water information that is fundamental to our economic well-being, protection of life and property, and effective management of our water resources. Listed below are discrete data releases and datasets produced during our science and research activities. To explore and interact with our data using online tools and products, view our web tools.

Filter Total Items: 542

Mainstem Rivers of the Conterminous United States (ver. 2.0, February 2023)

Mainstem rivers are the backbone of a connected network of hydrologic units that cover the landscape. A mainstem connects a headwater source area to an outlet. This data release identifies the same mainstem paths in hydrographic datasets for the conterminous US. The Mainstems dataset includes cross walks between mainstem identifiers and several hydrographic datasets. These cross walk tables do no

Harmonized discrete and continuous water quality data in support of modeling harmful algal blooms in the Illinois River Basin, 2005 - 2020

Harmful algal blooms (HABs) are overgrowths of algae or cyanobacteria in water and can be harmful to humans and animals directly via toxin exposure or indirectly via changes in water quality and related impacts to ecosystems services, drinking water characteristics, and recreation. While HABs occur frequently throughout the United States, the driving conditions behind them are not well understood,

Water quality sites indexed to NHDPlus v2.1 flowlines for the 2012 and the 2017 periods of the U.S. Geological Survey's Surface Water Status and Trends project

This data release provides a list of 2,304 water-quality sampling sites indexed to NHDPlus v2.1 flowlines along with the verified ComIDs. ComIDs are the unique identifiers for NHDPlus flowlines and allow the sites to be joined to ancillary and watershed information from other sources published for that purpose. The sites include those assembled for the period 1972-2012 by the U.S. Geological Surve

Basin boundaries in shapefile format for study sites of the USGS Surface Water Trends project

This product contains basin boundaries in shapefile format for study sites of the USGS Surface Water Trends project. These include sites where water quality information was collected by both USGS and non-USGS agencies. The data are posted as a single shapefile with separate polygons for each site.

Changes in imperviousness for U.S. urban areas, 1974-2012

This product consists of two sets of imperviousness calculations for 3,535 urban areas and urban clusters in the conterminous United States. Imperviousness is given as the percent of the area covered by impervious surfaces, such as roads, buildings, or parking lots. One set of calculations is for the time periods 2001, 2006, and 2011, based on the U.S. Geological Survey (USGS) National Land Cover

Passive seismic depth to bedrock data collected along streams of the Farmington River watershed, CT, USA

Using the horizontal-to-vertical spectral-ratio (HVSR) method, we infer regolith thickness (i.e., depth to bedrock) throughout the Farmington River Watershed, CT, USA. Between Nov. 2019 and Nov. 2020, MOHO Tromino Model TEP-3C (MOHO, S.R.L.) three-component seismometers collected passive seismic recordings along the Farmington River and the upstream West Branch of Salmon Brook. From these recordin

Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins

This data release provides all data and code used in Rahmani et al. (2021b) to model stream temperature and assess results. Briefly, we modeled stream temperature at sites across the continental United States using deep learning methods. The associated manuscript explores the prediction challenges posed by reservoirs, the value of additional training sites when predicting in gaged vs ungaged sites

Model predictions for heterogeneous stream-reservoir graph networks with data assimilation

This data release provides the predictions from stream temperature models described in Chen et al. 2021. Briefly, various deep learning and process-guided deep learning models were built to test improved performance of stream temperature predictions below reservoirs in the Delaware River Basin. The spatial extent of predictions was restricted to streams above the Delaware River at Lordville, NY, a

Data to support near-term forecasts of stream temperature using process-guided deep learning and data assimilation

This data release contains the forcings and outputs of 7-day ahead maximum water temperature forecasting models that made real-time predictions in the Delaware River Basin during 2021. The model is driven by weather forecasts and observed reservoir releases and produces maximum water temperature forecasts for the issue day (day 0) and 7 days into the future (days 1-7) at five sites. This data rele

Light model and GPP estimates for 173 U.S. rivers

This data release contains products from Savoy & Harvey (2021) which modeled photosynthetically active radiation and gross primary productivity (GPP) for 173 streams and rivers across the continental United States. Estimates of photosynthetically active radiation (PAR) were generated using a model that considers the contribution of light attenuation from riparian zones as well as within the water

Data for depth of groundwater used for drinking-water supplies in the United States

This data release includes grids representing the depth and thickness of drinking-water withdrawal zones, polygons of hydrogeologic settings, an inventory of sources of well construction data, and summaries of data comparisons used to assess the depth of groundwater used for drinking-water supplies in the United States. Well construction data sources are documented in Table1_DataSources.xlsx. Data

Predictions of lake water temperatures for eight reservoirs in Missouri US, 1980-2021

Lake temperature is an important environmental metric for understanding habitat suitability for many freshwater species and is especially useful when temperatures are predicted throughout the water column (known as temperature profiles). This dataset provides estimates of water temperature at half meter depths for eight reservoirs in Missouri, USA using version 3 of the General Lake Model (Hipsey