11 to 20 of 175 Results
May 13, 2026
Copenhaver-Parry, Paige; Parry, Brad; Byerly, Shelby, 2026, "Data and Code for Divergent responses of terrestrial plant community diversity to climate change in a cool, semi-arid region", https://doi.org/10.15786/YJ33CN, Wyoming Data Repository, V1
This dataset includes data and code needed to a generalized joint attribute model (GJAM) describing the percent cover of 101 terrestrial plant species dominant within and diagnostic of Wyoming's terrestrial plant communities, generate predictions from the model that extend across the state, and project the model under future climate. The research i... |
May 4, 2026
Wu, Yen-Yi; Austin Madson, 2026, "Monte Carlo Simulation Figures for Extreme Precipitation Trends Study", https://doi.org/10.15786/MCBHHI, Wyoming Data Repository, V1
This dataset contains the complete set of figure panels originally presented as Appendix A in the dissertation titled “Multi-Scalar Attribution and Spatiotemporal Deep Learning for Nonstationary Urban Flood Risk Assessment in U.S. Inland Cities.” It provides comprehensive extreme precipitation trend analyses for all investigated HUC12 watersheds ac... |
Mar 25, 2026
Toner, Rachel N.; Jackson, Lily J.; Amato, James A.; Summerfield, Kyle D.; Latrach, Abdeldjalil; Martinez, Christian; Johnson, Matthew B.; Eakin, Dan H.; Eakin, Autumn L., 2026, "Wyoming Class VI Site Characterization Database", https://doi.org/10.15786/PTCER0, Wyoming Data Repository, V1
The objective of the Wyoming Class VI Site Characterization Database is to expedite Class VI permitting for carbon storage hubs in Wyoming’s Greater Green River Basin (GGRB), and Sweetwater County in particular. The database will compile, standardize, and verify geologic and geotechnical data to support efficient application preparation and regulat... |
Nov 6, 2025
Copenhaver-Parry, Paige; Shelby Byerly, 2025, "Data and Code for Joint Model Inference to Support RAD-Based Decision Making for Aspen Management in a Changing Climate", https://doi.org/10.15786/36R0MM, Wyoming Data Repository, V1, UNF:6:BS9iP8Ksmozj0W3ji/3bfQ== [fileUNF]
This dataset includes data and code needed to fit the model, generate the predictions, and map the RAD outputs described in the publication "Joint model inference to support RAD-based decision making for aspen management in a changing climate". The dataset includes original aspen data collected by the Bridger-Teton National Forest and their partner... |
Sep 8, 2025
Moody, Eric J; Piccorelli, Annalisa V., 2025, "ICAP and SIS services prediction", https://doi.org/10.15786/LGQBJR, Wyoming Data Repository, V1, UNF:6:UcwGvzdFAnDwsuwkQ4HuEg== [fileUNF]
Analytic dataset that accompanies the paper titled "Support needs and adaptive behavior surveys: services prediction and relationship," to be published in PLOS One. |
Aug 12, 2025
Aadland, David M.; Elijah Bryant, 2025, "Replication Data for UWYO Grad Outcomes", https://doi.org/10.15786/LN9IXM, Wyoming Data Repository, V1, UNF:6:QUsEDtgUs2s12PKaqDI3rQ== [fileUNF]
This dataset is for replication purposes for an unpublished manuscript analyzing graduate outcomes for University of Wyoming students. |
Jul 30, 2025
Oreshkina, Maria V, 2025, "Replication Data for Evaluation of Harmonized Landsat-8 and Sentinel-2 Data for Rapid Flood Mapping Applications", https://doi.org/10.15786/O3RDSU, Wyoming Data Repository, V1
This collection includes both raw and processed satellite data sourced from NASA. It contains satellite imagery saved as individual granules, which can be viewed and analyzed using specialized GIS software such as ERDAS Imagine or ArcGIS. The dataset also includes Excel spreadsheets used for spectral band comparisons, threshold calculations, and ac... |
Jul 11, 2025
Ceretto, Alessandra; Saha, Nilay; Basile, Franco; Weinig, Cynthia, 2025, "Microbial and metabolomic rhizosphere effect of B. stricta genotypes are often suppressed when in local soil environment", https://doi.org/10.15786/G4WIHJ, Wyoming Data Repository, V1, UNF:6:fe3jT6iDnrpr4yJYawuzzw== [fileUNF]
Raw data (OUT_Tax_16S.sintax and metafinal.csv) used to generate phyloseq object (genoXsoil_phyloseq.rds) used for paper analysis of 16S rRNA DNA gene bacterial data. Two xls files of chemical data sampled from bulk and rhizosphere soils where bacteria were sampled, generated using MetaboAnalyst. The abstract for the paper generated using this data... |
Jul 11, 2025
Ceretto, Alessandra; Saha, Nilay; Basile, Franco; Weinig, Cynthia; Helling, Mitch, 2025, "The rhizosphere metabolome exhibits diurnal oscillations and spatial stratification in soil-grown plants", https://doi.org/10.15786/DQVIP1, Wyoming Data Repository, V1, UNF:6:eYDbjy4TgDMTvpXrteZ7eA== [fileUNF]
One RDS file containing sample metadata and chemical feature peak area data generated using MetaboAnalyist software, and one xls file with tentative chemical IDs corresponding to hte chemical features in the RDS file. The abstract for the paper generated using this data is as follows: The rhizosphere metabolome includes compounds exuded in a thin l... |
Jun 3, 2025
Ceretto, Alessandra; Weinig, Cynthia, 2025, "Field-grown B.stricta rhizosphere microbiomes exhibit minimal diel changes in microbial membership and potential function", https://doi.org/10.15786/8VDJVB, Wyoming Data Repository, V1
Fasta file of raw data, csv metadata for fasta reads, and cleaned phyloseq object containing bacterial 16S rRNA transcript and 16S rRNA gene reads. Abstract for paper is as follows: The rhizosphere microbiome greatly affects plant health and fitness. Quantifying bacterial responses to fine-scale plant-mediated changes in the rhizosphere, such as th... |
