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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.
Dataset includes supporting environmental data for sequencing data submitted
to NCBI SRA database BioProject PRJNA1016365, and utilized within the
following peer-reviewed manuscript in [*Conservation Genetics*](###Pending
Review###).
Epigenetic...
Size and abundance fishery 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...
Large-scale disturbances, such as megafires, motivate restoration at equally
large extents. Measuring the survival and growth of individual plants plays a
key role in current efforts to monitor restoration success. However, the
scale of modern...
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...
This data set includes three-years (2020-2022) of demographic (survival,
growth, reproduction) data, one-year of allometric data, and seed germination
data over a three-year period for Camassia quamash at the Camas Prairie
Centennial Marsh near...
This collaboration plan and protocols establish the ground rules for how we
work together in a large team-based collaborative science project. This
version is intended to support the proposal development and writing phases of
the Idaho NSF RII...
Understanding interactions between environmental stress and genetic variation
is crucial to predict the adaptive capacity of species to climate change.
Leaf temperature is both a driver and a responsive indicator of plant
physiological response...