Data Releases

This data release contains model input and output files for simulating and predicting thermal spring flows at Hot Springs National Park (HOSP), Hot Springs, Arkansas. A three-dimensional hydrogeologic framework of the Hot Springs anticlinorium beneath Hot Springs National Park was constructed to represent the complex hydrogeology of HOSP and surrounding areas to depths exceeding 9,000 feet below g

The interactions of waves and currents near an inlet influence sediment and alter sea-floor bedforms, especially during winter storms. As part of the Cross-Shore and Inlets Processes project to improve our understanding of cross-shore processes that control sediment budgets, the U.S. Geological Survey deployed instrumented platforms at two sites near Matanzas Inlet between January 24 and April 13,

Call observation data from the Louisiana Amphibian Monitoring Program (LAMP). Each route has 10 stops. The routes are in one of 3 Louisiana regions (north, south and Florida parishes). Routes are identified by number and name. Call observations are categorical number 0 (not heard) through 3 (full chorus with overlapping calls). Each route has 10 stops. A full description of data collection can be

Electrical resistivity results from two regional airborne electromagnetic (AEM) surveys (Minsley et al. 2021 and Burton et al. 2021) over the Mississippi Alluvial Plain (MAP) were combined by the U.S. Geological Survey to produce three-dimensional (3D) gridded models and derivative hydrogeologic products. Grids were discretized in the horizontal dimension to align with the 1 kilometer (km) x 1 km

This document provides two data sets that characterize outcrops of fluvial deposits of the Upper Cretaceous-Paleogene Raton and Poison Canyon Formations of the Raton Basin of Colorado-New Mexico, USA. First, the dataset includes stratigraphic sections measured through fluvial deposits of the Raton and Poison Canyon Formations (ten unique .tif files), currently exposed in roadside outcrops. Second,

A long history of mining and widespread metals contamination in the Spokane River watershed have led to the area's designation as a Superfund site and extensive, ongoing remedial actions. Long-term (water years 1990 to 2018) water-quality data from twelve sites were used to develop Weighted Regressions on Time, Discharge and Season (WRTDS) and WRTDS with Kalman filtering (WRTDS_K) models for total

This dataset includes laboratory analyses of surface water samples and sediment trap material collected from (1) locations upstream, downstream, and within the Hells Canyon Complex (Idaho, Oregon) of the Snake River, (2) tributaries of the Snake River, and (3) two reservoirs near Boise, Idaho, from 2014 to 2021. The study area spans approximately 232 river miles of the Snake River and includes: tw

In 2009, the Federal Highway Administration published Hydraulic Engineering Circular No. 23 (HEC-23) to provide specific design and implementation guidelines for bridge scour and stream instability countermeasures. However, the effectiveness of countermeasures implemented over the past decade following those guidelines has not been evaluated. Therefore, in 2013, the U.S. Geological Survey, in coop

This data release and accompanying spreadsheet illustrate the ecosystem scale selenium model for Lake Koocanusa described in USGS Open-File Report 2020-1098, "Understanding and Documenting the Scientific Basis of Selenium Ecological Protection in Support of Site-Specific Guidelines Development for Lake Koocanusa, Montana, U.S.A., and British Columbia, Canada." All report sections, equations, and t

Water Use by Source and Category in Idaho Counties are compiled as part of the "Estimated Use of Water in the United States" series of U.S. Geological Survey Circular reports that have been published every 5 years since 1950 (Maupin and others, 2014). Idaho withdrawals in 2015 are being published as a separate dataset in support of the U.S. Geological Survey fact sheet 2018-3036. Maupin, M.A., Ke

This data release provides all data and code used in Rahmani et al. (2020) to model stream temperature and assess results. Briefly, we used a subset of the USGS GAGES-II dataset as a test case for temperature prediction using deep learning methods. The associated manuscript explores the value of including stream discharge as a predictor in the temperature models, including the value of predicted d

These tabular data were compiled to document how key plant trait values change during plant development, particularly seedling stages, and in relation to soil moisture. An objective of our study was to answer three main research questions: (1) Do seedling trait values differ across early to late stages of seedling development and do those trajectories vary among plant species and functional types