Data management plan for the grant, "Advancing Resources for Cultural Heritage, Inclusion, and Visibility for ALL Communities - Minority Serving Institutions."

Data management plan for the grant, "CAREER: Modeling the Evolution of Massive Galaxies with Enzo-E."

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, "Complexity Synchronization: Information Transmission among Complex Systems."

Data management plan for the grant, "Stewarding Cultural Heritage: Latino Art, Museums, and Preservation Fellowship (LAMP Fellowship)."

Data management plan for the grant, "Ex situ and in situ Investigation of the Thermomechanical Behavior of Shape Morphing Materials from Room Temperature to Ultra-High Temperatures."

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, "The Milpa Agricultural Placemaking Project at the University of North Texas."

Data management plan for the grant, "2023-GenCyber-University of North Texas."

Data management plan for the grant, "Approximation Theory and Complex Dynamics." This project involves the study of approximation theory in the setting of complex functions, with applications to complex dynamics. Approximation theory seeks to understand the extent to which the behavior of a general function can be effectively modeled by that of functions drawn from a more restricted class. Efficient approximation of functions is of relevance for numerical calculation. Since the only calculations that can be carried out numerically are the elementary operations of addition, subtraction, multiplication, and division, in practical terms it is of importance to understand when the values of general functions are well approximated by the values of either polynomial or rational functions. In many situations, the values of the approximant resemble those of the general function only for a sampling of input values. What can be said about values of the approximant for other choices of input? This is the main question studied in this project, with the following application in mind: when a general function is iterated to produce a dynamical system, to what extent does the dynamical behavior of an approximant resemble the dynamical behavior of the original function? The project will also contribute …

Data management plan for the grant, "CAN23-161, Hierarchically structured ISRU derived composites."

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, "Creating Transformational Leaders in Sustainable Food and Fiber Systems."

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, "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, "A Laser Microdissection System to Enhance Agricultural and Food Research in the North Texas and Southern Oklahoma Region."

Data management plan for the grant, "Lone Star Ink: Texas NDNP 2023."

Data management plan for the grant, "Mechanoregulators of Nanoparticle-Cell Interactions at Tissue Interfaces."

Data management plan for the grant, "Quantitative PCR Primer Development for Early Detection of Invasive Species."

Data management plan for the grant, "Research Training Pathway for Underrepresented Minority Students in Advancing Materials and Manufacturing for Fusion Power."

Data management plan for the grant, "Optic-nerve-head (ONH) Chips for Glaucomatous Neurodegeneration." The most prominent causative risk factor of glaucoma, the leading cause of irreversible blindness worldwide, is elevated intraocular pressure (IOP), which could deform the optic nerve head (ONH) and cause glaucomatous neurodegeneration. However, current glaucoma therapies that focus on lowering IOP do not stop vision loss effectively, and thus there is a pressing need to understand the mechanisms underlying glaucoma pathogenesis. In this project, we will develop a biomimetic 3-D ONH-on-a-chip system that closely mimics the key anatomical and pathophysiological characteristics of the native ONH to study astrocytic mechanisms of glaucoma pathogenesis, a missing link to develop efficacious therapies.