Data management plan for the grant, "Exploring thermal properties of nanoscale wide bandgap semiconductors via ultrafast thermal-emission spectroscopy." In this project, we aim to develop a new thermometrology technique based on ultrafast thermal emission to directly and accurately measure thermal properties of thin-film wide bandgap semiconductors.

Data management plan for the grant, "Fatty Acid Amide Hydrolases and Chemical Communication in Plants." Research seeking to understand how an evolutionarily-conserved group of plant enzymes utilizes chemical signals to regulate growth and to influence their microbial environment. Specific research aims include the discovery of new enzymes and their substrate molecules that act as communication signals. Broader applications of this research may offer new strategies to enhance agricultural outputs by manipulating plant-microbe interactions in crop and soil systems.

Data management plan for the grant "Feasibility and initial efficacy of a wheelchair exercise-training intervention for persons with multiple sclerosis." The proposed study will examine the feasibility and initial efficacy of a stakeholder-informed, home-based, remotely supported and supervised exercise training program for wheelchair users with multiple sclerosis (MS). The proposed exercise training program was iteratively developed in partnership with community members using semi-structured interviews, a community advisory board, and focus group feedback wherein community members provided insights to develop and refine an exercise training program that suit the needs and preferences of wheelchair users with MS. Ultimately, the proposed study extends this line of research and may initiate a significant paradigm shift in rehabilitation research and practice by providing a critically needed home-based exercise training program for enhancing health, quality of life, participation, and independence of wheelchair user with MS.

Data management plan for the grant "Formation of cotton bast fiber as a means to modulate carbon capture and increase bio-product utilization."

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 "Functional Porous Organic Polymers as Advanced Decontamination Materials for Water Purification." This project seeks to develop and deploy a new class of porous organic polymers which have high capacity and selectivity to rapidly remove heavy metal contaminants well below parts per million level standards set by the Environmental Protection Agency. The project will engineer porosity and surface chemistry of porous organic polymers to clean inorganic heavy metal contaminants from both surface water and wastewater. Porous organic polymers are robust, chemically and thermally stable, scalable, and modular, with very high surface area. The modularity of these polymers allows for a molecular-level tuning of the pore structure and surface chemistry that allows for engineered site-specificity of binding sites that target the heavy metal contaminants. Recent data shows these new materials offer a significant increase in capacity relative to benchmark materials, with a rapid removal of mercury and other heavy metal ions. This project will advance the concept by exploring rational design of these porous polymers with different topologies by customizing the monomer with various binding groups. The objectives of the project include design, synthesis, and characterization, followed by assessment of these materials to remove inorganic contaminants …

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, "FW-HTF-P: Understanding and Assessing Technology Innovation to Mitigate Distraction and Improve the Performance of Future Forklift Operators."

Data management plan for the grant "FY2021 DARPA YFA: Next generation of wireless power transfer network of Unmanned Aircraft System (UAS) using electromechanical beamforming." Research aiming to develop the next generation of wireless power transfer (WPT) network that is scalable, safe, and efficient and can be deployed in a UAS by incorporating waveform engineering, electromechanical beamforming, integrated phased-array antenna, and transmitter (TX)/receiver (RX) co-design. This project aims to reveal the fundamental understanding of the energy sphere formation in a 3D space using UAVs as a case study. Although interests in radiative (far-field) WPT using beamforming has been growing rapidly because of its capability to energize a large number of autonomous devices, most of these works are still in the theoretical phase without any practical implementation. This project aims to implement a robust beamforming network using a bottom-up approach (from the antenna to the inter-connected network) that is highly important for addressing the challenges associated with a dynamically changing environment.

Data management plan for the grant "G-RISE at the University of North Texas." The University of North Texas (UNT) serves over 32,000 undergraduate and 7,000 graduate students of which 50% of the undergraduate population and 20% of the graduate population are underrepresented minority (URM). UNT is ranked by the Carnegie Classification as a Tier 1 institute, is a Hispanic Serving Institute, and is dedicated to providing quality mentoring to a diverse group of Ph.D. students. The UNT G-­RISE mission is to provide a biomedical Ph.D. training program that is inclusive, culturally responsive, increases diversity, enhances scientific skill sets, develops trainee career and professional skill sets, provides opportunities to participants, and increases faculty development as a mentor.

Data management plan for the grant, "GenCyber Teachers Camp." The goal of the UNT GenCyber Teacher Camp is to increase the cybersecurity expertise of middle and high school Computer Science teachers so that they can introduce cybersecurity curriculum into their classrooms. We will recruit 20 teachers who teach Computer Science and STEM-related middle/high school courses. We will create modules that teachers can use to create positive environments for students and thus to motivate them to gain interest in cybersecurity.

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, "GEOS Visualization And Lagrangian dynamics Immersive eXtended Reality Tool (VALIXR) for Scientific Discovery."

Data management plan for the grant, "Graduate Research Fellowship Program (GRFP)."

Data management plan for the grant, "Graduate Research Fellowship Program (GRFP)" for Ali Yar Khan.

Data management plan for the grant, "Graduate Research Fellowship Program (GRFP): Landscape genetics of wild turkey (Meleagris gallopavo) in Texas."

Data management plan for the grant, "HDR DSC: Collaborative Research: Creating and Integrating Data Science Corps to Improve the Quality of Life in Urban Areas."

Data management plan for the grant, "Health Careers Opportunity Program."

Data management plan for the grant, "High-Contrast Elasto-Metamaterial Photonics for Adaptable and Stable Lasing."

Data management plan for the grant "High-throughput Screening and Quality Assessment Testing and an AI-based In-Situ Process Monitoring and Quality Control Framework for Additive Manufacturing New Builds and Repaired Parts."

Data management plan for the grant, "HRSA Center of Excellence". The North Texas Center for Excellence (COE) will serve as an innovative resource for recruitment, training, and retention of health service psychology (HSP) Hispanic students and faculty, will improve clinical education and cultural competence associated with minority health issues and social determinates of health, and will facilitate research on minority health and health care delivery.

Data management plan for the grant, "Improving Remote Breathalyzer Procedures used by Clinicians and Researchers to Remotely Monitor Alcohol Use."

Data management plan for the grant, "Improving Student Learning While Decreasing Bias in Teaching Through Simulation." Research on the simEquity project which will implement a scalable model for developing equitable, culturally responsive teaching practices through simSchool, a simulated teaching environment. The project will identify best practices to help teachers recognize and mitigate implicit biases that often impact student success. The project team will iteratively develop and test a Teaching without Bias curriculum and an AI-driven set of bias reduction tools that can be added to existing simulation instruction modules.

Data management plan for the grant, "In-Situ Monitoring for Quality Assurance and Machine Learning in Direct-Write Additive Manufacturing of 5G RF Electronic Ceramics."