Data management plan for research material for the grant "Multi-modal Surface Acoustic Wave Sensing System for Pressure and Temperature monitoring of Spent Fuel Canisters." This project is a collaboration of ​University of North Texas, Oak Ridge National Laboratory, and National Energy Technology Laboratory to develop a multi-modal wireless passive SAW (Surface Acoustic Wave) sensor array, which are deployed on the outside surface of stainless steel canisters used for nuclear waste, to monitor the strain of the canister and thus determine the inside pressure to ensure safety and security. In addition, the SAW strain sensor could also measure the surface temperature and potentially monitor helium gas leaks.​

Data management plan for the grant, "MRI: Acquisition of a High Performance Hybrid Computer Cluster for Computational Modeling." Research grant for the purchase, installation, and operation of a new high-performance computing (HPC) resource, called CRUNTCH4, to be deployed at the University of North Texas’ (UNT) Center for Advanced Scientific Computing and Modeling (CASCaM). This much needed HPC resource combines different computing architectures and significant amounts of data storage, all connected via a high-speed communications fabric. This computing resource will provide the means for CASCaM investigators to continue research on a broad range of topics including quantum chemistry, materials design, biomolecular simulations, machine-learning based chemical discovery, and bioinformatics, among others.

Data management plan for the grant "RAPID: Collaborative Research: Examining Household Movements and Evacuation Decision-Making in a Compounding Risk Event." The purpose of this Grants for Rapid Response Research (RAPID) collaborative project is to examine household protective action decisions during two simultaneous events: Hurricane Ida and the ongoing COVID-19 pandemic. Time-sensitive data gathered through online, phone, and mail surveys and supplemented with GPS/mobile phone data will be used to examine household protective action decision-making and mobility patterns before, during, and after Hurricane Ida. The findings from this project are expected to save lives and minimize stress during evacuations and return trips. Additionally, the findings of the research will benefit the emergency management community and society as new knowledge related to protective action decisions during simultaneous hazard events can help maximize safety and efficiency in coordinating and managing the movements of displaced residents.

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.

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 "Texas Digital Newspaper Project." This project includes the digitization of 100,000 pages of Texas newspapers dating from 1836 to 1922, as part of the state's participation in the National Digital Newspaper Program (NDNP). The University of North Texas plans to digitize and make available to Chronicling America 100,000 pages of historic Texas newspapers. The selected titles will reflect the political and economic history of the state; provide coverage for major regions of the state, including most major population areas; and have a broad chronological span. Additionally, titles selected during this project will focus on non-English newspapers important to the history of Texas which, for several reasons, have been overlooked and are underrepresented in national digital newspaper holdings. Pulling on the strengths and knowledge gained in previous years as an awardee, the UNT Libraries recognize the challenges involved in an undertaking of this scope and possesses the knowledge and management skills to achieve success.

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, "NSFDEB-NERC: Collaborative Research: Wildlife corridors: do they work and who benefits?" Research on the impact of wildlife corridors using genetics as the measure of effectiveness. The study will use 20 independent landscapes to quantify how corridor traits affect gene flow, and will use non-flying mammals as focal species because they are strongly affected by fragmentation. The research team hypothesizes (1) a strong non-linear decline in success (gene flow) with corridor length, reflecting the skewed distribution of dispersal distances within species; (2) success will drop steeply as corridor width falls below a threshold, with the threshold determined by species traits; and (3) species that are bigger, are habitat specialists, or have greater dispersal abilities (relative to brain size or reproductive rate) will benefit more from corridors. Testing these hypotheses will allow generalization to a wide range of mammal species not included in this project. It will use highly flexible Random Forest models to answer the overarching question: What landscape traits (e.g., corridor width, degree of human disturbance) and species traits (mobility, affinity to particular land cover types) are associated with effective corridors?

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, "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, "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 "Raise Up Radio: Family and Youth Engagement in Library Supported Learning Via Radio." The University of North Texas and the University of Alabama, in partnership with the Pottsboro Area Library and the Tuscaloosa Public Library, will develop a program called "Raise Up Radio: Family and Youth Engagement in Library Supported Learning Via Radio" to address educational inequities that became even more pronounced during the COVID-19 pandemic and create a professional network of librarians who use radio broadcasts. Over two years, six libraries serving high-need rural communities in Texas and Alabama will each implement a total of four, five-week educational programs delivered over local radio stations. The program will leverage existing community resources to create accessible educational content through collaborative partnerships. It will connect libraries, museums, and educational institutions with students in rural communities through science, technology, engineering, and mathematics (STEM) content. Local youth and families will develop these new radio programs using best practices for equitable youth and family engagement in learning. To support and expand these efforts, team members will develop a toolkit of resources and form a community of practice for library professionals seeking to design radio programming in partnership with their …

Data management plan for the grant, "Non-Genetic Inheritance of Hypoxia Tolerance in Fishes: Dynamics and Mechanisms." Research quantifying the inheritance of tolerance to low oxygen in a model fish and then determine the tolerance mechanisms, at organismal to molecular levels, that are passed on from parents to their offspring. The investigators will not only focus on conventional, well-studied genetic mechanisms for inheritance, but will explore so-called “epigenetic” forms of inheritance that may transfer parental characteristics for only a generation or two. Such “temporary inheritance” might actually require less energy and be more beneficial to a species than the more permanent form of genetic inheritance. This project will quantify non-genetic inheritance of hypoxia tolerance in zebrafish as a model organism and then identify underlying mechanisms, at organismal to molecular levels, in parents and in their progeny. Specifically, this project will quantify non-genetically inherited traits that allow hypoxia tolerance, determine “wash-in” and “wash-out” (i.e., the dynamics) of hypoxia-tolerant phenotypes across multiple generations, and establish epigenetic mechanism(s) of non-genetic inheritance in subsequent generations. The information provided by this project will allow biologists to better predict, and perhaps even mitigate, the negative consequences of future episodes of low oxygen in rivers and lakes.

Data management plan for the grant, "Increasing students access to educational and experiential learning opportunities in agritourism." The project aims to develop an online course on agritourism within the sustainability framework, to be offered by the Department of Hospitality and Tourism Management (HTM) at the University of North Texas (UNT).

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, "Developing a Biomanufacturing Platform for the Site-Selective Functionalization and Structural Diversification of Cytochalasan-Based Carbon Skeletons." This project will identify fungal enzymes that efficiently modify more than one substrate in a predictable way. Also, enzymes will be engineered to expand the range of substrates. A biomanufacturing platform to synthesize bioactive molecules at lower costs will be the end result. Fungi can synthesize small molecules with complex structures using a number of highly coordinated enzymes. These molecules are difficult to make synthetically, and they can aid in crop production or have beneficial human health effects. Cytochalasans are phytotoxic, cytotoxic and actin-binding natural products. Produced by fungi, over 400 variants have been described. The structural diversity is partly explained by the flexibility of the enzymes that introduce and modify functional groups. These enzymes structurally rearrange the core carbon skeleton in a site-selective manner, often on more than one substrate. Genome mining will be used to identify cytochalasan tailoring enzymes. Overproducing strains will be characterized chemically. Transcription factor over-expression will be investigated. Targeted gene knock-out will confirm the function and scope of the enzymes. The enzymes will be engineered to expand their substrate range. Synthetic biology and metabolic …

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 "IRES Track II - Cape Horn ASIs: Climate change and disease ecology at the southern end of the Americas." Research giving students the opportunity to be trained in quantitative experimental design and work as part of a multinational research collaboration to study infectious disease emergence in one of the few remaining pristine places on Earth. The Cape Horn Biosphere Reserve (CHBR) off the southern tip of South America protects pristine ecosystem is perfect for this type of graduate student training. The CHBR is part of the sub-Antarctic Magellanic ecoregion, which is globally significant because it houses the worlds southernmost forest biome, contains numerous endemic species, is remote, and is relatively free of anthropogenic impacts. The research questions themselves will be flexible, but organized thematically. Specifically, this IRES Track-II will focus on the merging molecular genetic analysis using a mobile next generation sequencing lab with mist netting and arthropod trapping to investigate the impacts of wildlife disease on local biodiversity and community structure. Secondarily, eDNA and traditional wildlife disease monitoring approaches will be applied to understand the potential for zoonosis and understanding ecological factors that contribute to, or inhibit, zoonosis. Resultantly, participation in this program …

Data management plan for the grant "RINGS: Mobility-driven Spectrum-Agile Resilient mmWave Communication Links for Unmanned Aerial Vehicle Traffic Management in the Sky." As the unmanned aviation industry moves towards Advanced Air Mobility (AAM) services, air taxis and air ambulances are expected to become a reality in near future. Handling such a high volume of unmanned air traffic requires innovative solutions for enhanced situational awareness in the airspace. The US Federal Aviation Federal Aviation Administration envisions air tracks specifically reserved for AAM vehicles at altitudes ranging from 500 ft to 2000 ft. Air tracks cross one another at intersections and vehicles may need to share the airspace with other manned and unmanned aerial vehicles. This requires coordination among the vehicles especially during close encounters. Such a coordination requires highly reliable communication links which serve as a substitute for traffic signals on the roads. This proposal addresses this key knowledge gap by investigating strategies for establishing reliable and robust Vehicle-to-Vehicle (V2V) communication links to support AAM services. This project investigates spectrum-agile millimeter wave-based tunable beamforming strategies needed for establishing reliable and robust V2V communications links to support autonomous flight operations in air corridors along with the supporting radio frequency and mixed signal …

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 "Regulators of von Willebrand Factor Levels." Von Willebrand Disease is the most prevalent bleeding disease. In one of the types called type 1 von Willebrand Disease, the disease-causing genes are not known. Using zebrafish as a model, this project proposes to identify genes that cause the disease by crippling the genes by knockdown methods, and such identification may lead to not only the identification of mutations in the corresponding human genes but also to a better diagnosis.

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 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.