Data management plan for the grant, "NSFDEB-NERC: Collaborative Research: Wildlife corridors: do they work and who benefits?" Research on the impact of wildlife corridors using genetics as the measure of effectiveness. The study will use 20 independent landscapes to quantify how corridor traits affect gene flow, and will use non-flying mammals as focal species because they are strongly affected by fragmentation. The research team hypothesizes (1) a strong non-linear decline in success (gene flow) with corridor length, reflecting the skewed distribution of dispersal distances within species; (2) success will drop steeply as corridor width falls below a threshold, with the threshold determined by species traits; and (3) species that are bigger, are habitat specialists, or have greater dispersal abilities (relative to brain size or reproductive rate) will benefit more from corridors. Testing these hypotheses will allow generalization to a wide range of mammal species not included in this project. It will use highly flexible Random Forest models to answer the overarching question: What landscape traits (e.g., corridor width, degree of human disturbance) and species traits (mobility, affinity to particular land cover types) are associated with effective corridors?

Data management plan for the research grant "Generating pathogen- / pest-resistant non-GMO cotton through targeted genome editing of oxylipin signaling pathways."

Data management plan for the grant "Charge Transport in Two-Dimensional Materials Based Integrated Flexible Energy System."

Data management plan for the grant, "Non-Genetic Inheritance of Hypoxia Tolerance in Fishes: Dynamics and Mechanisms." Research quantifying the inheritance of tolerance to low oxygen in a model fish and then determine the tolerance mechanisms, at organismal to molecular levels, that are passed on from parents to their offspring. The investigators will not only focus on conventional, well-studied genetic mechanisms for inheritance, but will explore so-called “epigenetic” forms of inheritance that may transfer parental characteristics for only a generation or two. Such “temporary inheritance” might actually require less energy and be more beneficial to a species than the more permanent form of genetic inheritance. This project will quantify non-genetic inheritance of hypoxia tolerance in zebrafish as a model organism and then identify underlying mechanisms, at organismal to molecular levels, in parents and in their progeny. Specifically, this project will quantify non-genetically inherited traits that allow hypoxia tolerance, determine “wash-in” and “wash-out” (i.e., the dynamics) of hypoxia-tolerant phenotypes across multiple generations, and establish epigenetic mechanism(s) of non-genetic inheritance in subsequent generations. The information provided by this project will allow biologists to better predict, and perhaps even mitigate, the negative consequences of future episodes of low oxygen in rivers and lakes.

Data management plan for the grant, "Chemical-Guided Identification of Primary Metabolic Targets for Improvement of Hydroxy Fatty Acid Synthesis in Physaria fendleri." Research on the identification of primary metabolic targets using chemical-guided identification. The first objective of this research is to conduct metabolomics analysis on P. fendleri embryos cultured with two identified chemical regulators of fatty acid metabolism. The second objective of this research is to generate a metabolic flux map of embryos treated with these regulatory compounds in order to determine how metabolic rates and carbon flow can be manipulated to improve HFA production in this species and increase its commercial viability. With properties that could replace imported castor oil, research on the crop in discussion is situated directly in the scope of the USDA-AFRI Education and Workforce Development goals.

Data management plan for the grant, "Establishing a Journey of Inclusion, Identity and Intersectionality through Guided Pathways to Enhance Latinx Success in Engineering and Computer Science." This project will bring together the University of North Texas (UNT) and North Central Texas College (NCTC) to decrease the time to graduation for transfer students in engineering and computer science (ECS) and better meet the needs of Latinx students. Three research questions will guide the project efforts. 1) How do Latinx students navigate the engineering fields at an HSI and how do their opportunities and experiences at an HSI relate to their outcomes? 2) How do faculty and staff incorporate Latinx students’ collective cultural wealth into their curricular and co-curricular programs? 3) How do the community college experiences of Latinx students inform their pathways through engineering and computer science programs at an HSI? The project will disseminate a collection of best practices arising from their collaborative effort that can serve as a model for partnerships between community colleges and universities designed to increase representation of the Latinx community in the engineering and computer science workforce.

Data management plan for the grant "Development of Novel Approaches to Earth-abundant Methane Catalysis." Research on catalytic cycles for C–H activation and functionalization of light alkanes based on the CMD (concerted metalation deprotonation) mechanism will be modeled for Earth-abundant metal dicarboxylates and related complexes. The impact of inner and outer coordination sphere effects upon catalytic cycles for light alkane functionalization will be assessed using computational chemistry techniques. The aforementioned studies will be leveraged to identify promising, synthetically feasible lead catalysts for experimental collaborators.

Data management plan for the grant "Development of Genetic Sensors and Circuits for Creating Novel Cellular Behaviors." This research is expected to advance the capability to engineer organisms for biomedical uses. Specifically, the outcomes of this project include design principles for engineering regulators from different protein families, an extensive set of genetic sensors for detecting a broad range of signals, and novel genetic circuits that address uprising problems in biomedical fields. It uses a novel multidisciplinary approach to enhance the health of the nation by creating tools that facilitate both medical-related discoveries and the implementation of new strategies for biomedical applications.

Data management plan for the research project "Enabling Multi-scale Modeling by Deciphering Fundamental Mechanisms Underlying Phase Stability, Deformation and Oxidation in Refractory Complex Concentrated Alloys (RCCAs) and Intermetallics."

Data management plan for the grant "Multi-body interactions and carrier dynamics in WSe2 for high-performance quantum-enabled devices."

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, "DISES: Integrating environmental justice into urban forest assessment and valuation tools: blueprint for the future."

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, "Southwest Local Algebra Meeting 2023." No data will be collected or reported for this grant.

Data management plan for the grant "REU Site: Beyond Language: Training to Create and Share Vector Embeddings across Applications." This three-year Research Experiences for Undergraduate (REU) site project at University of North Texas will support 10 students for 10 weeks each summer and teach them how to build modern Artificial Intelligence (AI) systems capable of communicating their acquired knowledge across domains. Knowledge is about much more than what can be described in language, and we aim to train students to handle this new way of communication.

Data management plan for the grant "IUCRC Phase I University of North Texas: Center for Electric, Connected and Autonomous Technologies for Mobility (eCAT)."

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."

Data management plan for the grant, "FW-HTF-P: Immersive Virtual Reality Instructional Modules for Response to Active Shooter Events."

Data management plan for the grant, "NSF Engines Development Award: Advancing logistics technologies (TX, OK)."