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, "UNT Texas Fashion Collection: Assessment and Preservation Training."

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."

Data management plan for the grant "Self -powered Wireless Hybrid Density/Level Sensing with Differential Pressure Sensors for Safeguarding and Monitoring of Electrochemical Processing of Nuclear Spent Fuel."

Data management plan for the grant, "Collaborative Research: Increasing Inclusion and Equity of Minoritized STEM Faculty: Examining the Role of Epistemic Exclusion in Scholar(ly) Evaluation Practices."

Data management plan for the grant, "Collaborative Research: Supercritical Fluids and Heat Transfer - Delineation of Anomalous Region, Ultra-long Distance Gas Transport without Recompression, and Thermal Management."

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, "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, "Tunable Plasmonic Multispectral Meta surfaces." This project investigates the fundamental light-matter interactions and light emission tunability of 2D materials augmented by plasmonic gratings. A key application of our fundamental research is the development of the next generation of optical transistor that use photons to transmit signals containing digital information.

Data management plan for the grant, "Minority Cyber-CREWS: Minority Community Cybersecurity Research, Educational Engagement, Workforce Development, and Security Best Practices." This project aims to improve cybersecurity research, education, and collaboration capabilities for the University of North Texas (UNT), a minority-serving institution (MSI) in the rapidly growing and diverse Dallas-Fort Worth (DFW) metropolitan area.

Data management plan for the grant, "Structural and mechanistic studies of oxalate catabolism." Biologically derived oxalic acid has been shown to have a negative impact on crop production and human health. Oxalate present in plant foods can decrease their nutritional value by binding to calcium and rendering that calcium unavailable for nutritional absorption. This project will study the structure and function of key enzymes in oxalate turnover to understand their biological functions and mechanisms, facilitating metabolic engineering of plants toward improving nutritional quality and production of plant derived foods.

Data management plan for the grant, "Mechanochemical Reconstruction Principles for Two-Dimensional Material Adaptation to Applied Stresses." This grant focuses on understanding how 2D materials change their structure and function under loading and shear stresses. For this, we will investigate the fundamental origins of solid-state interactions, unraveling the processes occurring at contacting surfaces during sliding, why some materials show better stability than others, and how one can use these novel 2D materials for mitigating friction and wear and enabling superlubricity.

Data management plan for the grant, "Collaborative Research: Research Infrastructure: CCRI: ENS: Enhanced Open Networked Airborne Computing Platform." The project aims to develop an enhanced open networked airborne computing platform to facilitate the design, implementation, and testing of an airborne computing platform that seamlessly integrates control, computing, communication, and networking. The project will provide community support based on the flywheel model, and to attract and engage community users through organized support from four regional sites in the nation, hands-on workshops, testbed access, and technical user services.

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, "EAGER: Secure Research Impact Metric Data Exchange: Data Supply Chain and Vocabulary Development." This project aims to inform whether a national cyberinfrastructure is needed to support the exchange and processing of sensitive and proprietary usage and impact metrics generated by US-based research publishers and distributors. Specifically, this project will advance open science by: a) documenting the usage and impact data supply chain for article and data research outputs, to complement findings for books, and b) engaging research infrastructure stakeholders to crosswalk usage and impact related vocabularies across scholarship outputs and disciplines.

Data management plan for the grant, "Collaborative Research: CIF: Medium: Fundamental Limits of Cache-aided Multi-user Private Function Retrieval." This project is motivated by the need to efficiently execute complex queries on massive databases in a way that minimizes the use of communication resources while preserving the privacy of the entity that initiated the query. Such queries are functions of the data points that are stored at remote servers. This project develops a principled and holistic framework for the problem of privately retrieving, at distributed cache-aided nodes, the output of functions based on both data that is locally computed and data that is received from multiple servers.

Data management plan for the grant "Nuclear Safety Testing and Analysis Research (NSTAR) Fellowship Program at the University of North Texas." The proposed NSTAR fellowship program at UNT aims to reinforce the workforce in the nuclear energy safety community by engaging the selected fellowship students (fellows) with interdisciplinary education and research. The overarching theme and research focus of the proposed NSTAR program is acoustics-based non-destructive testing and analysis and nanoparticle processing for thermal management applications. An interdisciplinary research team will investigate these research areas with backgrounds in mechanical engineering, material science, and/or physics. The program will fully support two fellows over four years including full tuition and stipends.

Data management plan for the grant, "Examining the Viability of the use of Sarocladium zeae as a Biocontrol Agent in the Agricultural Production of Maize." Sarocladium zeae is a fungus that naturally grows within corn and produces pyrrocidines, compounds that inhibit the production of two exogenous threats to maize, aflatoxins and fumonisins. This project aims to identify other natural products that may be produced by S. zeae through genetic modification in native and non-native fungal hosts to ensure there are no toxins present. In doing so, further information will be gathered about the possibility of using S. zeae as a targeted biocontrol agent that protects against exogenous threats while remaining safe for consumption.

Data management plan for the grant, "An Ethnic Spring in the Food Desert? How State Policy Affects Food Environments and Business Entrepreneurships." In food system research, the reduced quality of one's food environment (the combination of food security and food access) is a direct symptom of social, political, and economic disparities. Our research has three primary objectives: Aim 1: To determine the role of state policy in the food environment of immigrant communities and communities of color in the United States, Aim 2: To dissect how state and local policies affect the participation of these communities in the U.S. food system, local food environments, and food business ownership, and Aim 3: To explain the current role and the future role of local policy in the food environment of immigrant communities and communities of color in the United States.

Data management plan for the grant, "Community-viable Family-school Partnership Intervention for Children with Social communication Deficits in Early Childhood Education." Early Childhood Education settings provide a natural and unique access point for addressing children’s unmet needs and barriers to care. The current research uses an established implementation science framework to adapt and implement an evidence-based Family-School Partnership Intervention (FPSI) to prevent developmental delays and barriers to learning among preschoolers with social-communication delays. FSPI is implemented by regular preschool staff and integrates Evidence Based Practices from education (i.e., strategies for establishing reciprocal partnerships with parents; Developmentally Appropriate Practice; National Association for the Education of Young Children) and clinical parent coaching interventions targeting social-communication deficits in toddlers with autism (Naturalistic Developmental Behavioral Interventions).

Data management plan for the grant, "CICI: UCSS: Secure Containers in High-Performance Computing Infrastructure." Ensuring the security and privacy of high-performance computing (HPC) infrastructures is of utmost importance due to their handling of sensitive data and critical scientific computations. HPC infrastructures commonly employ containers, which provide lightweight and isolated environments for running applications. Nevertheless, containers in HPC infrastructures encounter security challenges, including insecure container images and vulnerabilities related to isolation. Existing container image scanners face a major challenge of low coverage, while current container runtimes struggle to ensure both security and performance for HPC workloads simultaneously. This project addresses these challenges by developing secure containers specifically tailored for HPC infrastructures. The project introduces innovative solutions, including the development of an efficient image vulnerability scanner and a secure container runtime.

Data management plan for the grant, "New approach based on enzyme stimulating of peptides for targeting drug resistance breast cancers." In this project, we propose the development of selective self-assembling peptides that form nanofibers via a self-assembling process upon the action of Eyes absent (EYA) enzyme, specific to drug resistance Triple Negative Breast cancer cells (TNBC). The objectives are: Aim 1: Design and synthesize self-assembling peptide substrates for EYA enzymes; Aim 2:Determining the efficacy of peptide substrates for inhibiting TNBC in spheroid 3D cell cultures. The correlation between the enzyme kinetic and the activity of nanostructures for targeting EYA will be evaluated. Aim 3: The apoptosis response of the TNBC cells will be determined. This study will lead to finding the potent peptide substrate and the effective dose for inhibiting TNBC cells with apoptosis cell death.

Data management plan for the grant, "CAREER: Shape Memory Polymers as Biomaterial." This CAREER projectaimsto elucidate the underlying mechanism of the plasticization-induced shape memory effect of thiol-enebased polymers. The model application for this material will be a heat shrink tubing that can shrink at bodily conditions (37° C and simulated body fluids) and can be used to seal colonic anastomosis. The specific three aims are to (1) Systematically investigate the effect of crosslink-density and chain extender length on theplasticization-induced shape memory effect of thiol-enebased polymers. Mechanical and thermomechanical measurements inside simulated body fluids will be used to assess shape memory properties and structure-property relationships. (2) Understand the relationship between material thickness, degree of shape-programming, and radial recovery forces of tube-shaped SMPs to determine optimal design parameters for sufficient shape recovery using the heat shrink tube model. (3) Demonstrate the functionality of a biomedical heat shrink tube that utilizes the plasticization-induced shape recovery through an ex vivo colon anastomosis model and quantify mechanical and sealing properties.

Data management plan for the grant, "CPS: Medium: Integrating sensors, controls, and ecotoxicology with decoupled aquaponics using brackish groundwater and desalination concentrate for sustainable food production." This project aims to develop a cyber-physical system (CPS) testbed of integrated sensors, controls, machine learning, and ecotoxicology tools to engineer sustainable food production systems based on aquaculture using brackish water. The testbed includes an automated recirculating aquaculture system integrated with a real-time ecotoxicology system, implementing the system using desalination concentrate to demonstrate that brackish groundwater desalination costs can be offset by using its byproducts for profitable food production. This project will engage students of the local communities in three major ways: developing an exhibit and activity emphasizing interdisciplinary CPS research conducted during the academic year, offering summer research experiences to students from underrepresented groups, and participating in STEM outreach events targeting underrepresented groups.