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: 719

Crosswalk of Waterbody Identifiers between National Hydrography Dataset Plus High Resolution, National Hydrography Dataset Plus V2, and Hydrolakes datasets for the Contiguous United States Crosswalk of Waterbody Identifiers between National Hydrography Dataset Plus High Resolution, National Hydrography Dataset Plus V2, and Hydrolakes datasets for the Contiguous United States

Overview: There are multiple systems for mapping waterbodies within the conterminous United States. Prominent among them are the "High Resolution" and "Version 2" editions of the National Hydrography Dataset Plus. The National Hydrography Dataset Plus High Resolution (NHDPlusHR, Moore and others, 2025) uses "Permanent Identifiers" to identify waterbodies, while the National Hydrography...

GAGES 3: Environmental Setting of USGS Stream Gage Locations in the Conterminous U.S. GAGES 3: Environmental Setting of USGS Stream Gage Locations in the Conterminous U.S.

The US Geological Survey has collected daily streamflow data at more than 20,000 locations within the conterminous United States (CONUS). Although these data are publicly available, there is little to no information about the environmental setting under which the data were collected. Specifically, users of the data have no readily available means to determine whether the observed...

Aquatic reflectance data from Sentinel-2 satellite imagery paired with discrete chlorophyll-a measurements in Oregon, Ohio, and Florida in the United States from January 2016 through September 2023 Aquatic reflectance data from Sentinel-2 satellite imagery paired with discrete chlorophyll-a measurements in Oregon, Ohio, and Florida in the United States from January 2016 through September 2023

Aquatic reflectance data from Sentinel-2 satellite imagery is paired with discrete chlorophyll measurements across Oregon, Ohio, and Florida in the United States. The dataset contains a csv data file (CyAN_S2_Matched_WQ_S2.csv), a csv data dictionary file (CyAN_S2_Matched_WQ_S2_data_dictionary.csv) that describes each of the columns in the data file, and a zip file of python scripts...

Major, Minor, and Trace Element Results from Sequential Extractions of Sediment Cores Collected from the National Crude Oil Spill Fate and Natural Attenuation Research Site near Bemidji, Minnesota, 2014 to 2019 Major, Minor, and Trace Element Results from Sequential Extractions of Sediment Cores Collected from the National Crude Oil Spill Fate and Natural Attenuation Research Site near Bemidji, Minnesota, 2014 to 2019

This U.S. Geological Survey (USGS) Data Release contains chemical analysis information on sediment core and oil samples collected at the National Crude Oil Spill Fate and Natural Attenuation Research Site near Bemidji, Minnesota, USA. Following a crude-oil spill in 1979, biodegradation of petroleum hydrocarbons in the contaminated aquifer has formed distinct zones of pH and/or redox...

Monthly OpenET Image Collections (v2.0) Summarized by 12-Digit Hydrologic Unit Codes, 2000-2024 (ver. 2.0, January 2026) Monthly OpenET Image Collections (v2.0) Summarized by 12-Digit Hydrologic Unit Codes, 2000-2024 (ver. 2.0, January 2026)

This dataset provides monthly summaries of evapotranspiration (ET) data from OpenET v2.0 image collections for the period 2000-2024 for all National Watershed Boundary Dataset subwatersheds (12-digit hydrologic unit codes [HUC12s]) in the US that overlap the spatial extent of OpenET datasets. For each HUC12, the dataset contains spatial aggregation statistics (minimum, mean, median, and...

Sediment temperature data, sediment redox data, and vertical specific discharge calculations from a salt marsh along the Herring River in Wellfleet, MA, September to December 2023 and June to July 2025 Sediment temperature data, sediment redox data, and vertical specific discharge calculations from a salt marsh along the Herring River in Wellfleet, MA, September to December 2023 and June to July 2025

Groundwater – surface water (GW-SW) exchange plays a fundamental role in the transport of energy and solutes in coastal salt marshes, which may be influenced by flow of terrestrial groundwater and tidal fluctuations. Sediment heat tracing and redox tracking experiments were conducted at a hillslope-adjacent fringing salt marsh on the Herring River in Wellfleet, MA to test new monitoring...

Monthly and daily twelve-digit hydrologic unit code aggregations of the WRF-Hydro modeling application with CONUS404BA Atmospheric Forcings, 1979-2022 Monthly and daily twelve-digit hydrologic unit code aggregations of the WRF-Hydro modeling application with CONUS404BA Atmospheric Forcings, 1979-2022

This data release contains spatially and temporally aggregated data from a particular application of the Weather Research and Forecasting hydrological model (WRF-Hydro; Gochis and others, 2025) from water year 1980 through 2022 for the conterminous United States (Rafieeinasab and others, 2026). This modeling application is climatologically forced with a modified version of the CONUS404...

Index Velocity Rating Example Datasets Index Velocity Rating Example Datasets

These data are a compilation of example index velocity ratings used at USGS streamgaging stations. Each directory contains seven comma-delimited files consisting of a read me, the hydrographer developed rating, a table of discharge measurements used to develop the velocity rating, a mixture model analysis, statistically recommended rating, and the variance covariance matrix for both the

National Cross-Section Database (NXSDB), Water Year 2022 (schema version 1.2.0, September 2025) National Cross-Section Database (NXSDB), Water Year 2022 (schema version 1.2.0, September 2025)

This data release presents a national cross-section (XS) database (NXSDB) of bathymetric cross-sections collected during water year (WY) 2022 (October 1, 2021, to September 30, 2022). The WY 2022 NXSDB has been approved by the U.S. Geological Survey (USGS) for publication and supersedes the provisional versions. The data were collected by hydrographers during routine site visits to...

National Cross-Section Database (NXSDB), Water Year 2023 (schema version 1.2.0, September 2025) National Cross-Section Database (NXSDB), Water Year 2023 (schema version 1.2.0, September 2025)

This data release presents a national cross-section (XS) database (NXSDB) of bathymetric cross-sections collected during water year (WY) 2023 (October 1, 2022, to September 30, 2023). The WY 2023 NXSDB has been approved by the U.S. Geological Survey (USGS) for publication and supersedes the provisional version. The data were collected by hydrographers during routine site visits to...

Per- and Polyfluoroalkyl Substances (PFAS) and Co-occurring Contaminants in the Fraser River, a Headwater Tributary to the Colorado River - September 2021 to August 2023 Per- and Polyfluoroalkyl Substances (PFAS) and Co-occurring Contaminants in the Fraser River, a Headwater Tributary to the Colorado River - September 2021 to August 2023

The Fraser River, located in the Colorado Rocky Mountains, is a headwater tributary to the Upper Colorado River. This investigation by the U.S. Geological Survey (USGS) Water Mission Area, Water Quality Processes Program Proxies Project was conducted from September 2021 through August 2023 and consisted of eight sampling events incorporating 17 sites (15 stream sites and two wastewater...

2025 Delaware Dataset and Code for Stacked Machine Learning-Based Timber Identification Using Laser-Induced Breakdown Spectroscopy 2025 Delaware Dataset and Code for Stacked Machine Learning-Based Timber Identification Using Laser-Induced Breakdown Spectroscopy

This study evaluated the use of stacked machine learning for wood species identification based on Laser Induced Breakdown Spectroscopy data. The approach combined three types of Support Vector Machine classifiers (linear, polynomial, and radial kernels) using a One-vs-All strategy. The outputs were combined through a Partial Least Squares Discriminant Analysis meta-learner. Variable...
Was this page helpful?