Data management plan for the grant, "Solid-State Additive Manufacturing of Durable Aluminum-Cerium Alloys for High-Temperature Aerospace Structural Applications."

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, "Stewarding Cultural Heritage: Latino Art, Museums, and Preservation Fellowship (LAMP Fellowship)."

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, "Students Data Literacy Needs in Community Colleges: Perspectives of Libraries, Students and Faculty." The University of North Texas will conduct an 18-month planning project to examine the current perspectives of community college librarians, faculty, and students regarding data literacy; identify the data literacy competencies needed for community college students; and develop data literacy action plans for community college libraries to assist community college librarians in assessing their capability and creating a road map to incorporate data literacy into their existing literacy programs. The findings of this project will identify the role and position of community college libraries in facilitating and enhancing the development of the data literacy competencies of students.

Data management plan for the grant, "Targeted Systemic Delivery of SDF-1 DNA for the Treatment of Chronic Heart Disease."

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

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, "Ultra-High Temperature Stable Morphing Materials for Hypersonic Applications"

Data management plan for the grant, "Ultrawideband Near-Field Probe System for Antenna Research." The objective of this project is to acquire an ultrawideband near-field probe system to build a highly capable antenna measurement facility which will provide critical support for the research, development, and testing of new antenna designs and concepts at the University of North Texas (UNT). The requested near-field probe system will be integrated with existing hardware at UNT, including a vector network analyzer and an Albatross Projects shielded chamber, to complete the build for the measurement system that is capable of characterizing three-dimensional radiation patterns of antennas-under-test (AUT) over a wide frequency range of 0.65-18 GHz. The measurement facility will be used to not only support ongoing and future federally funded research of the principal investigators but also enhance undergraduate and graduate education and training in RF, microwave, and antenna engineering at UNT.

Data management plan for the grant, "Understanding the Role of Residual Stress Gradients on Plastic Strain Recovery in Nanocrystalline Thin Films."

Data management plan for the grant "University of North Texas HEB Talent Search." This grant serves low income students in the Hurst-Euless-Bedford School district by providing educational assistance such as tutoring, academic skill workshops, individualized mentoring, college tours, and assistance with FAFSA to help attain their educational goals.

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

Data management plan for the grant awarded to the University of North Texas Talent Search Program. UNT TRIO Talent Search is a federal grant program that assists students in enrolling in and graduating from post-secondary educational institutions. TRIO Talent Search accepts students in 6th-12th grades and provides information on careers and school success skills, SAT/ACT/TSI test prep and registration, assistance with college admissions, financial aid, and scholarship applications. Students also visit local colleges and universities. This grant includes additional funds for job shadowing and mentoring, and for summer STEM programs. The program is funded to serve 899 students at Denton High School, Gainesville High School, Gainesville Junior High School, Ryan High School, and Strickland Middle School.

Data management plan for the grant, "University of North Texas Upward Bound". The University of North Texas (UNT), located in Denton, Texas, proposes a cooperative partnership with four school districts to sponsor a five-year Upward Bound program for eligible students in four target high schools in North Texas.

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

Data management plan for the grant, "UNT Texas Fashion Collection: Assessment and Preservation Training."

Data management plan for the grant, "UNT Upward Bound". The University of North Texas (UNT), located in Denton, Texas, proposes a cooperative partnership with four school districts to sponsor a five-year Upward Bound program for eligible students in four target high schools in North Texas.

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

Data management plan for the research grant, "Using uncertainty quantification and machine learning techniques to study the evolution of odor capture." This research proposes the application of uncertainty quantification (UQ) and machine learning (ML) to a CFD model of odor capture to understand the role of hair-array morphology, kinematics, and fluid environment in odor capture. The combination of CFD modeling and UQ&ML techniques can map out the performance space under which these chemosensory hair arrays operate and the relative sensitivity of each parameter of odor capture to construct a global, quantitative understanding of how parameters control odor-capture performance. Furthermore, this analysis can eliminate parameters that have no influence on odor capture, extracting the root principles of odor capture and providing a more efficient way to construct bioinspired devices for chemical detection. This work is of interest to the Army for extracting design principles that can be used for biomimetic and/or bioinspired devices for sensing hazardous chemicals in the environment (e.g. explosives).

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