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.

Data management plan for the grant, "CAREER: Developing a Flexible Serverless Multimedia Streaming Cloud Platform."

Data management plan for the grant, "Collaborative Research: IRES Track I: Wireless Federated Fog Computing for Remote Industry 4.0 Applications."

Data management plan for a NSF grant with a name that has not been determined.

Data management plan for the grant, "Ultra-High Temperature Stable Morphing Materials for Hypersonic Applications"

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 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, "CAREER: Manufacturing of Mechanically Stable Nanoporous Ceramic Structures Via Selective Infiltration of Polymer Templates." This Faculty Early Career Development (CAREER) grant from the National Science Foundation supports fundamental research to elucidate a new strategy of manufacturing nanoporous ceramic structures with controllable structure and composition and programmable mechanical stability. The specific goal of this research is to discover processing-structure-property relationships in ceramic coatings and heterostructures by providing fundamental insights on the mechanism of liquid phase swelling-based infiltration of spin-coated polymer templates with inorganic precursors and defining the rules that control the resulting structure and, thus, access to various materials surfaces and interfaces.

Data management plan for the grant, "Collaborative Research: Combined Tribological and Bactericidal Effect of Bioinjectable Nanodiamonds on Biological Joints."

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: CCRI: Planning: A Multilayer Network (MLN) Community Infrastructure for Data,Interaction,Visualization, and softwarE(MLN-DIVE)." Research relating to creating a community infrastructure for researchers using multilayer networks (MLN). This project uses a formally established network decoupling approach to perform various aggregate analysis (community, centrality, substructure detection, etc.) using individual layers and composing them. The broader impact of this planning project is to provide meaningful and appropriate analysis tools that are grounded in theory to a broad range of applications from different domains. The focus is on facilitating the mainstream use of multilayer network analysis in data analysis, research and teaching.

Data management for the grant, "Collaborative Research: Framework Implementations: CSSI: CANDY: Cyberinfrastructure for Accelerating Innovation in Network Dynamics." Research addressing the lack of a comprehensive cyberinfrastructure that supports innovative research challenges in large-scale, complex, dynamic networks by developing a novel platform, called CANDY (Cyberinfrastructure for Accelerating Innovation in Network Dynamics), based on efficient, scalable parallel algorithm design for dynamic networks and high-performance software development with performance optimization.

Data management plan for the grant, "Variable Conductor Radiator for CO2 Deposition in Deep Space Transit"

Data management plan for the grant, "The University of North Texas Industrial Assessment Center."

Data management plan for the grant "Integrating multi-omics datasets to infer phenotype-specific driver genes, regulatory interactions and drug response." Research to develop open source integrative computational tools that perform secondary analysis of publicly available multi-omics biological, clinical and environmental exposure datasets to infer context-specific regulatory interactions and modules, and to predict disease associated genes and patient-specific drug response.

Data management plan for the grant "Travel: NSF Student Travel Grant for 2023 Great Lakes Bioinformatics Conference (GLBIO)"

Data management plan for the grant, "REU Site: TaMaLe - Testing and Machine Learning for Context-Driven Systems: Research Experience for Undergraduates." TaMaLe (Testing and Machine Learning for Context-Driven Systems), a renewal Research Experience for Undergraduates (REU) Site at University of North Texas, engages 10 undergraduate students for 10 weeks with problems in the context-driven system domain. The students explore research problems to improve the reliability and security of context-driven systems. Context-driven systems, such as mobile apps, face constant streams of input from both users and context changes in their environments. Users interact with apps through touch and speech interfaces. These systems also respond to context events that occur in their environments such as changes to network connection, battery level, screen orientation, and more. The combined explosion of possible user events and context event sequences pose new challenges that require cost effective testing solutions. Students and mentors in this REU program work in small teams to develop and empirically evaluate new software testing techniques for context-driven systems using strategies such as reinforcement learning and combinatorial-based techniques.

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 grant, "Cancer Detection and Treatment Based on Low-Level Light Interaction with Biological Cells: Augmentation to Existing Human Performance Research Capabilities."

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 "Charge Transport in Two-Dimensional Materials Based Integrated Flexible Energy System."

Data management plan for the grant, "Self-powered Wireless Sensors and Interfaces for UAVs." Self-powered wireless sensors acting as nanogenerators can not only harvest ambient environment energy during the flight but also are capable of wirelessly monitoring pressure, temperature and other parameters to make the UAV truly an intelligent transportation system (ITS). This proposal requests the acquisition of a Mask Aligner to pattern such self-powered sensors with nano-antenna structures for wireless communication. The addition of the proposed system will enable researchers to study novel 2D materials as self-powered sensors and actuators. The proposed infrastructure would allow the development of smart, autonomous mobility systems with breakthroughs in intelligent technologies, research and workforce preparation.

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 "2021 NCAE-C-002 University of North Texas."