The primary objective of Idaho EPSCoR is to stimulate research in niche areas that can become fully competitive in the disciplinary and multidisciplinary research programs of the National Science Foundation and other relevant agencies. Idaho EPSCoR provides support for sustainable increases in Research and Development capacity and advances science and engineering capabilities within the state.
Visit them at https://www.idahoepscor.org
Data and report from the 2021/2022 GEM3 and Idaho Rangeland Resources Commission statewide survey of Idahoans' opinions on sagebrush landscapes, rangelands, and public lands. Survey topics included sense of place, values for sagebrush landscapes...
Boise State University student researchers conducted interviews with community members living and working in Idaho's sagebrush steppe in Spring 2022. These interviews were part of Collecting Gems: Improving Workforce Communication and Listening...
Supporting dataset for genome assembly data found within NCBI BioProjects PRJNA1032953 (UTT2), PRJNA722258 (IDT2) and PRJNA795150 (IDT3-Reference Genome). Fasta assembly data used in the EDTA analysis to generate subsequent output files are...
Phenotypic data related to water use efficiency (WUE) in sagebrush seedlings; specifically, stomata density and size on both leaf surfaces and the anatomy of vessels (i.e., xylem). Natural abundance stable carbon isotope data was also collected...
**Abstract** Remotely sensed land cover datasets have been increasingly employed in studies of wildlife habitat use. However, meaningful interpretation of these datasets is dependent on how accurately they estimate habitat features that are...
This repository hosts data and code for the population genetic analyses performed in Grossfurthner et al. (2023) Population structure and hybridization under contemporary and future climates in a heteroploid foundational shrub species (Artemisia...
A drought Genotype x Environment (GxE) experiment was conducted as part of the Idaho GEM3 project to assess phenotypic plasticity and differential gene expression across two populations (one from Idaho, USA and one from Utah, USA) of diploid...
We present a novel model development and evaluation framework, wherein we compare 26 models to predict upper distribution limits of trout in streams in Oregon using observational data collected in 2017. The models used machine learning, logistic...
This repo is for scripts to process and analyze data as described in Melton et al., 2023 (Plant-Environment Interactions, DOI: https://doi.org/10.1002/pei3.10119) Raw data associated with these scripts are available from NCBI SRA from BioProject...
Supplemental scripts for analyses that follow text mining using the G2PMineR R package. [v1.0.0](https://github.com/aemelton/G2PMineR_Supplemental_Scripts/releases/tag/v1.0.0) utilized within associated peer reviewed manuscript in International...