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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: 554

Evaluation of preservation techniques for trace metals and major cations for surface waters collected from the U.S. Geological Survey's National Water Quality Network Sites

The USGS National Field Manual (NFM) states "A representative sample is one that typifies in time and space that part of the aqueous system to be studied" and "obtaining representative samples is of primary importance for a relevant description of the environment." The NFM contains detailed chapters on the best practices for representative and contamination free sampling of major and trace metals

Specific conductance data collected during slug additions

Slug additions are often the most accurate method for determining discharge when traditional current meter or acoustic measurements are unreliable because of high turbulence, rocky streambed, shallow or sheet flow, or the stream is physically inaccessible (e.g., under ice or canyon walls) or unsafe to wade (Zellweger et al., 1989, Kilpatrick and Cobb 1984, Ferranti 2015). The slug addition method

MODFLOW 6 models used to simulate the long-term average surficial groundwater system for the contiguous United States

Seventy-five steady state two-dimensional groundwater flow (MODFLOW-6) models of the shallow groundwater system were developed to map depth to water and estimate effective surficial transmissivity for the contiguous United States (CONUS). The models were driven by spatially-distributed recharge estimated by Reitz et al. using average water budget information for 1985-2015 and calibrated against lo

MODFLOW-2005 and MODPATH6 models used to simulate groundwater flow and nitrate transport in two tributaries to the Upper Chester River, Maryland

A previously developed steady state three-dimensional groundwater flow (MODFLOW-2005) and advective transport (MODPATH6) model was used to examine subsurface nitrate transport to wells and receiving streams in two subcatchments contributing to the Upper Chester River, Maryland. Multiple scenarios of flow and transport parameter fields (recharge, hydraulic conductivity, and porosity) were

Statistical Methods in Water Resources - Supporting Materials

This dataset contains all of the supporting materials to accompany Helsel, D.R., Hirsch, R.M., Ryberg, K.R., Archfield, S.A., and Gilroy, E.J., 2020, Statistical methods in water resources: U.S. Geological Survey Techniques and Methods, book 4, chapter A3, 454 p., https://doi.org/10.3133/tm4a3. [Supersedes USGS Techniques of Water-Resources Investigations, book 4, chapter A3, version 1.1.]. Supple

Groundwater and soil gas data, methods, and quality assurance information for samples collected to determine ancient carbon distributions at Red Hill, Bulk Fuel Storage Facility, O‘ahu, Hawai‘i 2022-2023

This U.S. Geological Survey (USGS) Data Release describes field methods, lab methods, and data for groundwater and soil gas samples collected in the vicinity of the Red Hill Bulk Fuel Storage Facility, O‘ahu, Hawai‘i, from September 2022 through April 2023. The Red Hill facility consists of 20 underground fuel storage tanks that can each hold approximately 12.5 million gallons of fuel and are conn

PRMS model inputs and outputs for the Upper Pipestem Creek basin (2017)

This data release contains input for and outputs from hydrologic simulations of the upper Pipestem creek basin located in the Prairie Pothole region of North Dakota using the Precipitation Runoff Modeling System (PRMS).These simulations were developed to provide example applications of model calibration using alternative calibration targets. These PRMS model input and output data are intended to a

Data and citations describing the connections between agriculture and water quality in the United States

This U.S. Geological Survey data release provides the data and citations for selected tables and figures in "Agriculture-A River runs through it-The connections between agriculture and water quality". This Circular is based on the National Water-Quality Assessment Project's study of Agricultural Chemicals: Sources, Behavior, and Transport. This study focused on the connections between agriculture

CONUS404 climate forcing variable subset for hydrologic models, 1979-2022: downscaled to 1 km and bias-adjusted for precipitation and temperature

This metadata record serves as documentation for the bias adjusted version of the CONUS404 (CONtiguous United States for 40-years at 4-kilometer grid spacing) atmospheric forcing dataset; however this dataset has been revised to include 43 years of data at 1-kilometer grid spacing. This is a dataset of historical conditions (water years 1980-2022, October 1, 1979-September 30, 2022) and has suffic

Delaware River Basin depth to bedrock observations, model predictions, and explanatory variables

This data release contains model inputs, R code, and model outputs for predicting depth to bedrock in the Delaware River Basin at a 1km gridded resolution with a random forest model. Model inputs are provided in a comma-separated value (csv) file. The training data used in this study of 72,773 point observations of depth to bedrock (DTB) within the Delaware River Basin (DRB) that was compiled from

Remotely sensed data acquired from an Uncrewed Aerial System (UAS) and field measurements of flow depth and velocity from the North Santiam River, Oregon, collected in July 2022

A reach of the North Santiam River, Oregon, was used as a case study in an ongoing effort to develop and test uncrewed aircraft system (UAS)-based salmon habitat mapping techniques using: (1) particle image velocimetry (PIV) for estimating surface flow velocities from remotely sensed data; and (2) two-dimensional (2D) flow modeling based on remotely sensed topography and bathymetry (topo-bathym

Data release: early warning indicators for harmful algal bloom assessments in the Illinois River, 2013 - 2020

Harmful algal blooms (HABs) have recently been observed in rivers, including the Illinois River in the Midwest United States. The Illinois River Basin has a history of eutrophication issues, primarily caused by the excessive loading of nitrogen and phosphorus from urban and agricultural sources. Recent events have seen the emergence of cyanobacterial harmful algal blooms in the area. This data rel