20 Works

Borehole nuclear magnetic resonance (NMR) logging 2016-2017

Andrew D. Parsekian, Bradley J. Carr, Niels Claes, David O. Walsh & Nadia Fantello
This dataset contains measurements made with the Vista Clara (Mukilteo, WA) Javelin family of borehole nuclear magnetic resonance (NMR) logging tools. The Javelin Surface Station was used for all measurements, and probes JP175B, JP175D, and JP350 were used depending on the available borehole. Data were collected between January of 2016 and August 2017 at sites across Wyoming, Colorado, New Jersey, Jemez Critical Zone Observatory, Calhoun Critical Zone Observatory, among other sites. All raw data are...

1m Digital Elevation Map for Blair Wallis research site in Wyoming

W. Steven Holbrook
This DEM is based on a Surface elevation dataset derived from high-accuracy Light Detection and Ranging (LiDAR) technology for the Southeast Wyoming Aerial LiDAR Survey (UWYO) project area. The dataset </SPAN><SPAN>are based on surface digital terrain model with 0.5 meter point spacing. This specific DEM was calculated from converting the .xyz data into a raster using ARCGIS. To smooth out errors the researcher took an average and made a 1m DEM, oppposed to the 0.5m...


Nadia Fantello, Andrew Parsekian & Katey Walter Anthony
Dataset for the paper.

Species’ traits help predict small mammal responses to habitat homogenization by an invasive grass

Joseph Phillip Ceradini & Anna Chalfoun
Invasive plants can negatively affect native species, however, the strength, direction, and shape of responses may vary depending on the type of habitat alteration and the natural history of native species. To prioritize conservation of vulnerable species, it is therefore critical to effectively predict species’ responses to invasive plants, which may be facilitated by a framework based on species’ traits. We studied the population and community responses of small mammals and changes in habitat heterogeneity...

[Supplemental data for] The magnitude and origin of groundwater discharges to eastern U.S. and Gulf of Mexico coastal waters

Kevin Martin Befus
Supplemental data for "The magnitude and origin of groundwater discharges to eastern U.S. and Gulf of Mexico coastal waters" that includes the assimilated spatial outputs used to create Figures 2-4. The January 2018 update included changes to two HUC_CAF values (8090100 and 8070100) in ws_cgwQ_final.shp to include the correct Mississippi River discharge affecting the following fields: 'QTCm3d', 'QTEm3d', 'cQ_rQC', and 'cQ_rQE' Previous versions (May, Oct 2017) available upon request.

Flight Level Data from the University of Wyoming King Air during the Plains Elevated Convection At Night (PECAN) project, Version 1.0

This data set includes flight level measurements from the University of Wyoming King Air (N2UW) during the Plains Elevated Convection At Night (PECAN) project conducted over the Great Plains of the United States. This data set includes measurements processed at low rate (1 Hz) and high rate (10 Hz).

Seismic Refraction data in the Blair-Wallis catchment in the Laramie Range, Wyoming

Brady A. Flinchum, W. Steven Holbrook, Bradley J. Carr & Matthew A. Provart
This data set is comprised of 30 seismic refraction profiles that were collected over a three year period. The data were configured to imaged a ridge and two corresponding valleys in the Blair-wallis catchment in the Laramie Range, WY. All data were collected using a Geometrics Geode system and a sledgehammer source. The seismic data is in SEG2 formation (.dat files), which come directly out of the Geometrics data collection system. Since the lines were...

Data from \"Measuring snow water equivalent from common offset GPR records through migration velocity analysis.\"

James Taylor St. Clair & W. Steven Holbrook
GPR and snow density data to test migration focusing algorithm.

The University of Wyoming Cloud Radar (WCR)

The Wyoming Cloud Radar (WCR) is an airborne polarimetric Doppler radar operating at W-band (94.921 GHz). Up to 4 antenna are employable, and can be configured to observe targets above, below, and laterally from the aircraft. The WCR provides high-resolution measurements of reflectivity and radial velocity, along with the capability of measuring differential reflectivity and linear depolarization ratio. It is deployable aboard both the University of Wyoming King Air and the NSF/NCAR C-130 research aircraft.


Andrew David Parsekian
Hydrological and geophysical data on the No-Name hillslope Trench site. Snow pit, snow height, evapotranspiration, time-domain reflectometry, water level, ground temperature, tree locations, PR2 water content probes, time-lapse electrical resistivity tomography, and shallow seismic refraction data. Each time-lapse dataset has different sampline interval as indicated in the dataset, however readings are reported at daily frequency or higher.

Snowy Range Seasonal Lakes Hydrology and Geophysics 2013 2015

David T. Leifert, Bryan Shuman, Andrew Parsekian & Jason Mercer

Alaska small mammals: individual capture and measurement data

Carolyn A. Eckrich, Elizabeth A. Flaherty & Merav Ben-David
We live-trapped small mammals from May to August 2010-2012 using 40 to 52 Sherman livetraps (H.B. Sherman Traps, Inc, Tallahassee, FL, USA) per grid set at 25-m intervals and configured to fit within each forest stand. We baited traps with a mix of oats, molasses and peanut butter. Polyester bedding was provided to aid in thermoregulation. Each year, trapping occurred for five consecutive nights three times in late spring, early summer and late summer/fall following...

Zenith pointing Wyoming Cloud Lidar (WCL) data from the University of Wyoming King Air during the Plains Elevated Convection At Night (PECAN) project, Version 1.0

This data set contains level 1 data from the Wyoming Cloud Lidar taken during the Plains Elevated Convection At Night (PECAN) project conducted over the Great Plains of the United States. The attenuated backscattering coefficent for the parallel channel and the depolarization ratio have been calibrated.

The University of Wyoming Cloud Lidar (WCL)

The Wyoming Cloud Lidar (WCL) system includes the zenith WCL at 355 nm and the nadir WCL at 351 nm. It provides high spatial resolution cloud structure and composition. Its primary airborne platform is the University of Wyoming King Air research aircraft, but may be installed on other aircraft as well, including the NSF/NCAR C-130 aircraft.

Seismic and resistivity data from line 1_repeat at Obsidian Pool Thermal Area, Yellowstone National Park.

Sylvain Pasquet, Steven W. Holbrook & Bradley J. Carr
These are the raw seismic data presented in the publication "SWIP: an integrated workflow for surface-wave dispersion inversion and profiling" in Geophysics. It also contains electrical resistivity data acquired along the same line. The raw data are stored in the subdirectories "Seismic" and "Resistivity."

Soil Moisture Velocity Equation [Code and data used in paper]

Fred L. Ogden
The data and code used to validate the advection-like term of the Soil Moisture Velocity Equation by comparing against the exact analytical solution by Ross & Parlange[1994], as cited in the paper.

Shell 3D Visualization Center

3D visualization and virtual reality Center based in the School of Energy Resources, supporting teaching and research at the University of Wyoming, and offering professional technology services and digital asset creation to the wider community. The $3M technology infrastructure includes a 3D CAVE, virtual reality head mounted displays, and augmented reality devices.

Circle-shot seismic refraction data in the Blair-Wallis region, Laramie Range, Wyoming

G. Christopher Novitsky & W. Steven Holbrook
Two different surveys were conducted in July 2016, we first designed a survey with large circle-shots deployed along an entire ridge line. We then narrowed down the survey to a hilltop around a borehole with a dense grid of smaller radii circle shots in order to determine if the anisotropy is a consistent signal caused by fractures and not isotropic velocity heterogeneity. For both surveys, 10 Hz corner frequency vertical-component geophones were evenly distributed along...

Registration Year

  • 2017

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