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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: 541

Inventory of water bottling facilities in the United States, 2023, and select water-use data, 1955-2022

An inventory of facilities that bottle water or other beverages containing water (including soft drinks, beer, wine, or spirits) or that manufacture ice was compiled by combining available datasets from multiple sources. This water bottling inventory dataset includes facilities within all 50 states of the United States, one federal district (Washington, District of Columbia), and three territories

Application of the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS),1980-2016, Daymet Version 3 calibration

This data release contains inputs and outputs for hydrologic simulations of the conterminous United States (CONUS) using the National Hydrologic Model (NHM) application of the Precipitation Runoff Modeling System (PRMS) in ASCII and binary format and explanatory graphics in pdf format. These simulations were developed to provide estimates of water availability for historical conditions for the per

Water Quality and Molecular Data for Upper Klamath Lake, OR, 2016

Upper Klamath Lake, located in southern Oregon, is a hypereutrophic lake where cyanobacterial blooms, dominated by Aphanizomenon flos-aquae (AFA), occur every summer. The decay of excess biomass after AFA senescence leads to problematic water quality conditions including high pH ( > 9) and anoxia. Water samples from the photic zone and bottom of the water column, and the flocculation layer of the

Geochemistry and microbiology data collected to study the effects of oil and gas wastewater dumping on arid lands in New Mexico

The Permian Basin, straddling New Mexico and Texas, is one of the most productive oil and gas (OG) provinces in the United States. OG production yields large volumes of wastewater that contain elevated concentrations of major ions including salts (also referred to as brines), and trace organic and inorganic constituents. These OG wastewaters pose unknown environmental health risks, particularly in

Multispectral images and field measurements of water depth from the Sacramento River near Glenn, California, acquired September 14-16, 2021

This data release includes multispectral images and field measurements of water depth from the Sacramento River near Glenn, California, used to evaluate the potential for efficient reach-scale mapping of river bathymetry using Uncrewed Aircraft Systems (UAS). The images were acquired by a MicaSense RedEdge-MX Dual Camera deployed from a Trinity F90 vertical take-off and landing (VTOL) UAS. The 4 k

Simulating changes in the distribution of ammonium and ammonia versus physical and chemical conditions using PHREEQC with applications to toxicity to fish

Two sets of PHREEQC input and output files are provided that illustrate the distribution of aqueous ammonium and ammonia as a function of physical (temperature) and chemical (pH and solution composition) conditions. One set of simulations calculates the distribution of aqueous ammonia and aqueous ammonium over a range of temperatures and pH values in different solution compositions. The other set

Dataset of C1-C6 Dissolved Trace Hydrocarbon Measurements in the Western "Wet Gas" Part of the Marcellus Shale Oil and Gas Play in West Virginia, U.S.A. Collected Between June and August 2018

This dataset contains measurements of dissolved hydrocarbons in from groundwater samples collected in the shale gas producing regions of West Virginia, USA, between June and August of 2018. The target analytes in this study were: methane (CH4), ethane (C2H6), ethene (C2H4), ethyne (C2H2), propane (C3H8), propene (C3H6), i-butane (C4H10), n-butane (C4H10), 1-butene (C4H8), propyne (C3H4), i-pentane

Microbial community analyses of groundwater collected during an enhanced bioremediation experiment of trichlorethylene in a fractured rock aquifer, West Trenton, NJ (2008-2015)

These datasets contain microbial community data from groundwater samples collected at an in situ bioremediation site located at the former Naval Air Warfare Center (NAWC), West Trenton, NJ. DNA was extracted from groundwater samples collected from monitoring wells at the NAWC study site from July 2008 through July 2015 and analyzed for microbial community structure. Sample collection coincided wit

Nutrient and pesticide data collected from the USGS National Water Quality Network and previous networks, 1963-2018

The National Water Quality Network (NWQN) for Rivers and Streams includes 110 surface-water river and stream sites monitored by the U.S. Geological Survey (USGS) National Water Quality Program, National Water-Quality Assessment (NAWQA) Project. The NWQN includes 20 large river coastal sites, 41 large river inland sites, 30 wadeable stream reference sites, 10 wadeable stream urban sites, and 9 wade

Harmonized continuous water quality data in support of modeling harmful algal blooms in the United States, 2005 - 2022

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,

A deep learning model and associated data to support understanding and simulation of salinity dynamics in Delaware Bay

Salinity dynamics in the Delaware Bay estuary are a critical water quality concern as elevated salinity can damage infrastructure and threaten drinking water supplies. Current state-of-the-art modeling approaches use hydrodynamic models, which can produce accurate results but are limited by significant computational costs. We developed a machine learning (ML) model to predict the 250 mg/L Cl- isoc

Data from Decadal Change in Groundwater Quality Web Site, 1988-2022

Evaluating Decadal Changes in Groundwater Quality: Groundwater-quality data were collected from 5,000 wells between 1988-2001 (first decadal sampling event) by the National Water-Quality Assessment Project. Samples are collected in groups of 20-30 wells with similar characteristics called networks. About 1,500 of these wells in 67 networks were sampled again approximately 10 years later between 20