Data

GSFLOW is a coupled Groundwater and Surface-Water Flow model based on the integration of the U.S. Geological Survey Precipitation-Runoff Modeling System (PRMS; Markstrom and others, 2015) and the U.S. Geological Survey Modular Groundwater Flow Model (MODFLOW-2005, Harbaugh, 2005; MODFLOW-NWT, Niswonger and others, 2011). In addition to the basic PRMS and MODFLOW simulation methods...

This metadata record describes model outputs and supporting model code for the Data-Driven Drought Prediction project of the Water Resources Mission Area Drought Program. The data listed here include outputs of multiple machine learning model types for predicting hydrological drought at select locations within the conterminous United States. The child items referenced below correspond to...

This data is comprised of representative chloride values Seneca and Cayuga Lakes and their tributaries from many sources.

This USGS data release includes data from experiments conducted with two species of caddisflies (Hydropsyche californica and Arctopsyche grandis (Order: Trichoptera) to quantify copper and cadmium uptake and loss after dissolved and dietary exposures. Both Arctopsyche and Hydropsyche belong to the family Hydropsychidae (O: Trichoptera). They are relatively sessile, net-spinning filter...

DataRetrieval.jl is a Julia alternative to the R dataRetrieval package for obtaining USGS water data directly from web services.

Electromagnetic (EM) geophysical methods provide information about the bulk electrical conductivity of the subsurface. EM data has been widely used to investigate aquifers and geologic structures. In the following study, the United States Geological Survey conducted a boat-towed, waterborne transient electromagnetic (FloaTEM) survey to examine conductivity within the subsurface of the...

The R package precompute is used to perform periodic computations to set up data for loading and rendering in Shiny applications. These computations typically take too long to conduct on the fly, which is why they are performed with some frequency using this package.

Lake trophic status is a key water quality property that integrates a lake's physical, chemical, and biological processes. Despite the importance of trophic status as a gauge of lake water quality, standardized and machine readable observations are uncommon. Remote sensing presents an opportunity to detect and analyze lake trophic status with reproducible, robust methods across time and...

The U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board collected produced water samples for analysis of volatile organic compounds (VOCs) in the eight California oil fields of Fruitvale, Lost Hills, North Belridge, Orcutt, Placerita, South Belridge, Midway-Sunset, and Buena Vista from 2016 to 2020. Sampled sites included oil wells...

This Python package provides functions to simulate advection and dispersion of numerical particles using a lagrangian particle-tracking algorithm for 2 and 3-dimensionl hydraulic simulation results. Users may customize particle subclasses to provide custom particle classes. For example, the drift of larval fish, by creating classes to add behavior to particles. (McDonald and Nelson, 2021...

Software package to support regression-based regionalization of streamflow frequency statistics that follow a log-Pearson type III distribution.

This metadata record describes the observed and estimated hydrologic metrics for the 1980 to 2019 period for U.S. Geological Survey streamgage locations across the Conterminous United States. The datasets are arranged in four files: (1) CONUS_Observed_Estimated_HMs_Annual_Monthly.csv, (2) CONUS_Bootstrap_Validations_for_Models.csv, (3) CONUS_Streamflow_Gages_for_Models.csv, and (4) Data...