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Explore all data by the topics and refine type to find the digital information in a format suitable for direct input to software that can analyze its meaning in the scientific, engineering, or business context for which the data were collected.

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Elemental and Strontium Isotopic Composition of Select Central Plateau and Upper Basin Member Rhyolites, Yellowstone Plateau Volcanic Field

The Yellowstone Plateau Volcanic field consists of lavas from the last two million years. The most recent volcanic units are the Central Plateau Member and the older Upper Basin Member rhyolites (Christiansen, 2001). Investigations into the elemental and isotopic composition of these lavas can provide insight into the recent volcanic history of the different eruptive episodes and provide constrain

Bathymetry and acoustic backscatter data from Floras Lake, Oregon, June 2018

This publication releases single-beam bathymetry and backscatter datasets acquired by the U.S. Geological Survey (USGS) during surveys performed on Floras Lake, Oregon, in June 2018. Bathymetry and backscatter data were collected using two personal watercraft (PWCs) equipped with single-beam sonar systems, sidescan sonar systems, and global navigation satellite system (GNSS) receivers. Bathymetry

Estimated Streamflow and Suspended-Sediment Loads for Select Sites in the Esopus Creek Watershed, New York, Water Years 2017 through 2021

This U.S. Geological Survey (USGS) data release contains estimated daily mean streamflow for Broadstreet Hollow Brook at Highway 28 at Allaben NY (USGS station ID 01362232) and Bushnellsville Creek at State Highway 42 at Shandaken NY (USGS station ID 0136219702) based on methods in Gazoorian (2015) and available discharge data from West Kill near West Kill NY (USGS station ID 01349810). Instantan

White-nose syndrome/Pseudogymnoascus destructans spatio-temporal predictions over North America between 2007 and 2030

This csv contains spatio-temporal predictions for the year of white-nose syndrome/Pseudogymnoascus destructans in support of the manuscript "Gaussian process forecasts Pseudogymnoascus destructans will cover coterminous United States by 2030." Gaussian process models were fitted to monitoring data on the spread of white-nose syndrome in North America from 2007-2022. These models are used to make p

R code to fit Gaussian process models to white-nose syndrome/Pseudogymnoascus destructans monitoring data across North America from 2006-2022

This code supports the manuscript "Gaussian process forecasts Pseudogymnoascus destructans will cover coterminous United States by 2030." The code is used to fit Gaussian process models to publicly accessible monitoring data on the spread of white-nose syndrome in North America. These models are used to make predictions on a fine spatial grid, giving a forecast (and hindcast) of the spread of whit

North Pacific Wintering Barrow's Goldeneye Body Mass, Morphology, and Prey Sizes 1996-2015

These data provide information in support of the creation of a bioenergetic model to estimate winter prey consumption by Barrow's Goldeneye (Bucephala islandica). One table consists of mass and morphological measurements of wintering Barrows Goldeneyes captured or collected in Alaska and British Columbia from 1996 to 2015. The second table consists of size classes of Pacific blue mussels (Mytilus

Datasets for Comparison of Surrogate Models to Estimate Pesticide Concentrations at Six U.S. Geological Survey National Water Quality Network Sites During Water Years 2013–2018

This data release is comprised of data tables of input variables for seawaveQ and surrogate models used to predict concentrations of select pesticides at six U.S. Geological Survey National Water Quality Network (NWQN) river sites (Fanno Creek at Durham, Oregon; White River at Hazleton, Indiana; Kansas River at DeSoto, Kansas; Little Arkansas River near Sedgwick, Kansas; Missouri River at Hermann,

CONUS404: Four-kilometer long-term regional hydroclimate reanalysis over the conterminous United States (ver. 2.0, December 2023)

CONUS404 is a unique, high-resolution hydro-climate dataset appropriate for forcing hydrological models and conducting meteorological analysis over the contiguous United States. CONUS404, so named because it covers the CONtiguous United States for 40 years at 4-km resolution, was produced by the Weather Research and Forecasting (WRF) Model simulations run by National Center for Atmospheric Resear

Bathymetric Map of the Lummi Sea Pond, October 2022

On October 5-6, 2022, a combination of Acoustic Doppler Current Profiler (ADCP) and Global Navigation Satellite System (GNSS) surveying were used to collect bathymetric data of the Lummi Sea Pond near Bellingham, WA. Distributed XYZ points were interpolated to create a continuous bathymetric map of the sea pond. The final product is two-meter raster in NAD88 (2011) UTM 10N coordinates, with elevat

Inundation metrics by 10-km bend, Lower Missouri River Floodplain

This is a shapefile of points summarizing inundation metrics and geomorphic variables for bends in the downstream-most 800 km of the Lower Missouri River. Points are located at the centroids of 10-km bends of the river. The metrics were developed through analysis of inundation maps calculated from a 1-dimensional hydraulic model for the channel and floodplain. Water-surface elevations were extende

Salinity and total dissolved solid determinations using PHREEQCI

The total concentration of dissolved constituents in water is routinely quantified by measurements of salinity or total dissolved solids (TDS). However, salinity and TDS are operationally defined by their analytical methods and are not equivalent for most waters. Furthermore, multiple methods are available to determine salinity and TDS, and these methods have inherent differences. TDS is defined a

Supporting data and model outputs for hydrologic alteration modeling in the Pearl and Pascagoula river basins

Anthropogenic hydrologic alteration threatens the health of riverine ecosystems. This study assesses hydrologic alteration in the Pearl and Pascagoula river basins using modeled daily streamflow. Machine learning was used to identify locations that have undergone statistically significant streamflow alteration, quantify the volume of the alteration, and predict alteration using cubist models. Stat