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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.
Stream habitat data utilized for Redband Trout habitat monitoring, habitat
suitability modeling, and bioenergetics modeling at Big Jacks, Duncan, Little
Jacks, Upper Mann and Keithly Creeks Idaho USA. All streams except Little
Jacks Creek have...
Compilation of sagebrush chemistry and herbivore interaction data from Idaho
USA. Chemical data includes percent crude protein, percent nitrogen,
coumarins, phenolics, total monoterpenes, monoterpene chemical diversity, and
quantifiable amounts...
**Context**
The amount and composition of phytochemicals in forage plants influences
habitat quality for wild herbivores. However, evaluating forage quality at
fine resolutions across broad spatial extents (i.e., foodscapes) is
challenging....
Data and code files included within release v1.0 from the
[Sagebrush_in_vitro_prop
GitRepo](https://github.com/svenbuerki/Sagebrush_rooting_in_vitro_prop).
Please visit the associated [project
website](https://svenbuerki.github.io/...
Plant communities are composed of complex phenotypes that not only differ
among taxonomic groups and habitats but also change over time within a
species. Restoration projects (e.g., translocations, reseeding) can introduce
new functional...
Sagebrush identification can be improved by using a relatively easy
ultraviolet (UV) light test on specimens. Sagebrush produces a variety of
water-soluble polyphenols called coumarins, which fluoresce a blue color
under UV light and can help...
Water temperature data collected from North Callahan and Trail Creeks in
northern Idaho using HOBO Tidbit temperature loggers. Data is recorded at
15-minute intervals in degrees Celsius. Five sites are included within the
dataset: two sites from...
Although the random forest algorithm has been widely applied to remotely
sensed data to predict characteristics of forests, such as tree canopy
height, the effect of spatial non-stationarity in the modeling process is
oftentimes neglected....