Data Releases

These data were compiled to assess potential impacts of altered operations of Glen Canyon Dam on riparian plant resources. Objective(s) of our study were to quantify potential responses of specific vegetation metrics. These data represent predicted changes in vegetation metrics based on the data in the Interim Guidelines and LTEMP_SEIS folders. These data were collected in Grand Canyon and Glen Ca

These data were compiled for/to modeling to assess impact of management scenarios on Colorado River sediment resources. Objective(s) of our study were to assess impact of management scenarios on Colorado River sediment resources. These data represent model results for high flow experiment timing/duration, sand mass balance, sandbar volume, based on the data in the Interim Guidelines SEIS and LTEMP

These data were compiled to predict hourly Glen Canyon Dam operations and hydropower impacts. The objective of our study was to estimate hydropower impacts under different future LTEMP sEIS alternatives. These data represent hourly outflow in cubic feet per second, generation in megawatt hours, and economic value of hydropower in nominal dollars. These data were created for operations at Glen Cany

These data were compiled for/to modeling efforts for U.S. Bureau of Reclamation National Environmental Policy Act (NEPA) analyses for the Colorado River in Grand Canyon, Arizona. Objective(s) of our study were to create revised monthly Lake Powell elevations and outflows from Bureau of Reclamation Colorado River Mid-term Modeling System (CRMMS) traces that incorporate the alternatives in the sEIS

In areas of low uplift rate on the Pacific Coast of North America, reoccupation of emergent marine terraces by later high-sea stands has been hypothesized to explain the existence of thermally anomalous faunas (mixtures of warm and cool species) of last interglacial age. If uplift rates have been low for much of the Quaternary, it follows that higher (older) terraces should also show evidence of r

As part of the periodic update of the geothermal energy assessments for the USA (e.g., last update by Williams and others, 2008), a new three-dimensional temperature map has been constructed for the Great Basin, USA. Williams and DeAngelo (2011) identified uncertainty in estimates of conductive heat flow near land surface as the largest contributor to uncertainty in previously published temperatur

This is a dataset of locations and population genetic information based on microsatellite analysis of rusty patched bumble bee (Bombus affinis). Data were collected over the course of two years (2020 and 2021), and genetic analysis took place in 2022.

Yellowstone National Park (YNP; Wyoming, Montana, and Idaho, USA) contains more than 10,000 hydrothermal features, several lakes, and four major watersheds. For more than 140 years, researchers at the U.S. Geological Survey and other scientific institutions have investigated the chemical compositions of hot springs, geysers, fumaroles, mud pots, streams, rivers, and lakes in YNP and surrounding ar

This geodatabase contains all of the map information used to publish the Surficial Geologic Map of the Owlshead Mountains 30’ X 60’ Quadrangle,Inyo and San Bernardino Counties, California: U.S. Geological Survey Scientific Investigations Map SIM-3496. The geodatabase and associated map delineate primarily surficial geology and neotectonics structure across the entire extent of this quadrangle, whi

USGS personnel surveyed bumble bees and flowering plants in and around Glacier National Park during the summer of 2023. These data include 1) a .csv file of all bumble bee - plant interactions observed across surveys and 2) all flowering plants observed in bloom across all surveys.

There are 3 child zip files included in this data release. 01_Codebase.zip contains a codebase for using deep learning to filter images based on the probability of any bird occurrence. It includes instructions and files necessary for training, validating, and testing a machine learning detection algorithm. 02_Imagery.zip contains imagery that were collected using a Partenavia P68 fixed-wing airpla

Marshes may drown if they are unable to accrete sediment at the rate of sea level rise, but predicting the rate of sediment accretion at different marshes is challenging because many processes (e.g. tidal range, wave frequency) and conditions (e.g. available sediment, vegetation density, shape of the marsh edge) impact it. The Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST, Warner and ot