Data management plan for the research grant, "Development of Combinatorial Processing Techniques for Accelerated Discovery of Complex Concentrated Alloy (or Multi-Principal Element Alloys) for Structural Applications"

Data management plan for the grant, "New approach for identification pHFO networks to predict epilleptogenesis." About 40% of epilepsy patients fail to control seizures after treatment, and currently there is no treatment that can prevent epilepsy. The goal of this study is to perform multi-scale electrophysiological investigations combine with advanced computational algorithm development to understand the characteristics of the pathological brain networks during the latent period of epilepsy. The findings of this project will lead to a better understanding of the network mechanisms of epileptogenesis and suggest novel approaches to prevent the process of epileptogenesis.

Data management plan for the grant, "UNT Gencyber Academy."

Data management plan for the grant, "Development of advanced biocatalyst tools and resources to enable biogas-based biomanufacturing."

Data management plan for the grant, "Community Health Worker Training Program."

Data management plan for the grant, "Fueling Resilience: A risk-based comparison of post-fire programs and recovery outcomes in Northern California." This study investigates post-wildfire recovery programs and outcomes in two neighboring, but vastly different counties in Northern California (Lake and Sonoma counties), which have experienced wildfire losses nearly every year since 2015. Working with community leaders and local governments, this study 1) documents the method, timing, and spatial extent of wildfire risk reduction efforts and recovery and 2) determines how these risk reduction efforts resulted from resources and programs available to communities. Next, the study offers a comprehensive post-wildfire examination of how wildfire recovery changes future wildfire exposure and sensitivity through 3) stochastic modeling of the potential risk reduction outcomes of recovery efforts. Finally, the study draws together model results and community perspectives to 4) identify transferable best practices for enhancing social-ecological resilience to wildfire.

Data management plan for the grant "Elucidating Cyclic Fatty Acid Biosynthesis and Compartmentalization to Improve Cottonseed Value." Cotton is an important oilseed crop in the U.S. economy. Cotton seed and other vegetative tissues produce unusual chemicals called cyclic fatty acids that have wide-ranging potential uses from high-value industrial properties to nutrition-oriented uses. This project focuses on identifying genes that contribute to the production and storage of these high value bioproducts.

Data management plan for the grant "Collaborative Research: CISE-MSI: RCBP-RF: CPS, CNS: Emergency Response and Evacuation Training for Active Shooter Events."