Wyoming Data Repository

Metrics

59,167 Downloads

Share your research data. Find, cite, and reuse existing data outputs from Wyoming researchers.

Welcome to the Wyoming Data Repository! WDR supports open discovery and preservation of data outputs produced by University of Wyoming and Wyoming Community College researchers.

Getting Started

University of Wyoming Dataverse Collection

WSGS

Vore Buffalo Jump

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

1 to 10 of 2,055 Results

Interpretable Pressure-dependent Permeability Modeling for Confined Gas Transport in Complex Nano-Porous Media Oct 13, 2026 Aryana, Saman A.; Yang, Qian; Delos, Mo K.; Rustamov, Nijat, 2026, "Interpretable Pressure-dependent Permeability Modeling for Confined Gas Transport in Complex Nano-Porous Media", https://doi.org/10.15786/LSKYKF, Wyoming Data Repository, V1 This dataset contains the processed data and analysis code for the study "Interpretable Pressure-dependent Permeability Modeling for Confined Gas Transport in Complex Nano-Porous Media". The study derives a closed-form ("white-box") model of apparent gas permeability in nano-porous media such as shale. In this work we use a data-driven workflow to...
Mapping-data-code.zip Oct 13, 2026 - Interpretable Pressure-dependent Permeability Modeling for Confined Gas Transport in Complex Nano-Porous Media ZIP Archive - 6.5 MB - MD5: 90b342464d1f16274fe018732a792adb
README.md Oct 13, 2026 - Interpretable Pressure-dependent Permeability Modeling for Confined Gas Transport in Complex Nano-Porous Media Markdown Text - 16.8 KB - MD5: 5dd254ab5c6eaee378711c881653196b
Regridded E3SMv3 Nephele AMIP Perturbed-Parameter Ensemble and Default Simulation Output for Stratocumulus Cloud-Controlling-Factor Analysis Oct 7, 2026 - University of Wyoming Dataverse Collection Timothy A. Myers; Travis Aerenson; Daniel T. McCoy; Mark D. Zelinka; Jacqueline M. Nugent; Hunter Y. Brown, 2026, "Regridded E3SMv3 Nephele AMIP Perturbed-Parameter Ensemble and Default Simulation Output for Stratocumulus Cloud-Controlling-Factor Analysis", https://doi.org/10.15786/XDMITE, Wyoming Data Repository, V1 Global, approximately monthly E3SMv3 atmosphere output from a 250-member present-day AMIP-style perturbed-parameter ensemble and the corresponding default E3SMv3 simulation. The AMIP-style ensemble was constructed for the associated Myers et al. paper using the 25 parameter combinations from the Nephele PPE design. The data were remapped from the n...
default.zip Oct 7, 2026 - Regridded E3SMv3 Nephele AMIP Perturbed-Parameter Ensemble and Default Simulation Output for Stratocumulus Cloud-Controlling-Factor Analysis ZIP Archive - 8.0 GB - MD5: e3446fa5b31c03b699449ba6acfccf03
ppe.zip Oct 7, 2026 - Regridded E3SMv3 Nephele AMIP Perturbed-Parameter Ensemble and Default Simulation Output for Stratocumulus Cloud-Controlling-Factor Analysis ZIP Archive - 199.0 GB - MD5: d26e2e67694510c6946e0d5b770fd0a3
README_E3SMv3_Nephele_regridded_output.txt Oct 7, 2026 - Regridded E3SMv3 Nephele AMIP Perturbed-Parameter Ensemble and Default Simulation Output for Stratocumulus Cloud-Controlling-Factor Analysis Plain Text - 17.3 KB - MD5: 0c6525e5c1c3a3c3ad3d93dc2a89bcef
WDR_CORE_METADATA.md Oct 7, 2026 - Regridded E3SMv3 Nephele AMIP Perturbed-Parameter Ensemble and Default Simulation Output for Stratocumulus Cloud-Controlling-Factor Analysis Markdown Text - 4.6 KB - MD5: 08e0e72a223be49069903a3a5996fba6
Data for Fourier Hermite Kinetic Network for Gas Transport Under High Knudsen Numbers Oct 5, 2026 Rustamov, Nijat; Aryana, Saman A., 2026, "Data for Fourier Hermite Kinetic Network for Gas Transport Under High Knudsen Numbers", https://doi.org/10.15786/3U4XKV, Wyoming Data Repository, V1 Fourier Hermite Kinetic Network is a novel sequence-to-state temporal-spectral architecture designed to accelerate the prediction of rarefied gas transport in porous media. This dataset contains training and validation samples, codes and blind tests used to evaluate model performance.
data.zip Oct 5, 2026 - Data for Fourier Hermite Kinetic Network for Gas Transport Under High Knudsen Numbers ZIP Archive - 184.4 GB - MD5: 8109156e12559714b08f86b22436fb61

Interpretable Pressure-dependent Permeability Modeling for Confined Gas Transport in Complex Nano-Porous Media

Oct 13, 2026

Aryana, Saman A.; Yang, Qian; Delos, Mo K.; Rustamov, Nijat, 2026, "Interpretable Pressure-dependent Permeability Modeling for Confined Gas Transport in Complex Nano-Porous Media", https://doi.org/10.15786/LSKYKF, Wyoming Data Repository, V1

This dataset contains the processed data and analysis code for the study "Interpretable Pressure-dependent Permeability Modeling for Confined Gas Transport in Complex Nano-Porous Media". The study derives a closed-form ("white-box") model of apparent gas permeability in nano-porous media such as shale. In this work we use a data-driven workflow to...

Mapping-data-code.zip

Oct 13, 2026 - Interpretable Pressure-dependent Permeability Modeling for Confined Gas Transport in Complex Nano-Porous Media

ZIP Archive - 6.5 MB -

README.md

Oct 13, 2026 - Interpretable Pressure-dependent Permeability Modeling for Confined Gas Transport in Complex Nano-Porous Media

Markdown Text - 16.8 KB -

Regridded E3SMv3 Nephele AMIP Perturbed-Parameter Ensemble and Default Simulation Output for Stratocumulus Cloud-Controlling-Factor Analysis

Oct 7, 2026 - University of Wyoming Dataverse Collection

Timothy A. Myers; Travis Aerenson; Daniel T. McCoy; Mark D. Zelinka; Jacqueline M. Nugent; Hunter Y. Brown, 2026, "Regridded E3SMv3 Nephele AMIP Perturbed-Parameter Ensemble and Default Simulation Output for Stratocumulus Cloud-Controlling-Factor Analysis", https://doi.org/10.15786/XDMITE, Wyoming Data Repository, V1

Global, approximately monthly E3SMv3 atmosphere output from a 250-member present-day AMIP-style perturbed-parameter ensemble and the corresponding default E3SMv3 simulation. The AMIP-style ensemble was constructed for the associated Myers et al. paper using the 25 parameter combinations from the Nephele PPE design. The data were remapped from the n...

default.zip

Oct 7, 2026 - Regridded E3SMv3 Nephele AMIP Perturbed-Parameter Ensemble and Default Simulation Output for Stratocumulus Cloud-Controlling-Factor Analysis

ZIP Archive - 8.0 GB -

ppe.zip

Oct 7, 2026 - Regridded E3SMv3 Nephele AMIP Perturbed-Parameter Ensemble and Default Simulation Output for Stratocumulus Cloud-Controlling-Factor Analysis

ZIP Archive - 199.0 GB -

README_E3SMv3_Nephele_regridded_output.txt

Oct 7, 2026 - Regridded E3SMv3 Nephele AMIP Perturbed-Parameter Ensemble and Default Simulation Output for Stratocumulus Cloud-Controlling-Factor Analysis

Plain Text - 17.3 KB -

WDR_CORE_METADATA.md

Oct 7, 2026 - Regridded E3SMv3 Nephele AMIP Perturbed-Parameter Ensemble and Default Simulation Output for Stratocumulus Cloud-Controlling-Factor Analysis

Markdown Text - 4.6 KB -

Data for Fourier Hermite Kinetic Network for Gas Transport Under High Knudsen Numbers

Oct 5, 2026

Rustamov, Nijat; Aryana, Saman A., 2026, "Data for Fourier Hermite Kinetic Network for Gas Transport Under High Knudsen Numbers", https://doi.org/10.15786/3U4XKV, Wyoming Data Repository, V1

Fourier Hermite Kinetic Network is a novel sequence-to-state temporal-spectral architecture designed to accelerate the prediction of rarefied gas transport in porous media. This dataset contains training and validation samples, codes and blind tests used to evaluate model performance.

data.zip

Oct 5, 2026 - Data for Fourier Hermite Kinetic Network for Gas Transport Under High Knudsen Numbers

ZIP Archive - 184.4 GB -

Add Data

Share Dataverse

Link Dataverse

Reset Modifications