The ResearchData@TAMU Digital Catalog
ResearchData@TAMU collects and indexes research data produced by TAMU researchers and stored in data repositories around the world. The catalog increases discoverability of research data in support of re-use, experimental reproducibility, and social impact.
“Open access to research data is critical for advancing science, scholarship, and society. Research data, when repurposed, has an accretive value. Publicly funded research should be publicly available for public good.” - from preamble to the Denton Declaration: An Open Data Manifesto
Communities in ResearchData@TAMU
Select a community to browse its collections.
Recent Submissions
Item type:Dataset, Computational resources for "Lorentz Resonance in the Homogenization of Plasmonic Crystals"https://hdl.handle.net/20.500.14641/427Item type:Dataset, Computational resources for "Homogenization of plasmonic crystals: Seeking the epsilon-near-zero effect"https://hdl.handle.net/20.500.14641/427Item type:Research Project, Diverse Predoctoral Training in GeneticsCell Biology And Genetics; https://hdl.handle.net/20.500.14641/1258; DHHS-NIH-National Institute of General Medical ScienceTexas A&M University has a long history of training in the genetic sciences, with the first graduate degree having been awarded in 1919. The first Interdisciplinary Program (IDP) in Genetics was the first IDP established at Texas A&M in 1983, and has been at the forefront of diversifying not only the trainee pool that will contribute to a diversified workforce, but is also leading in the preparedness of students for diverse career paths. The Genetics IDP preceptors have world-renowned research programs providing unique opportunities for trainees to perform dissertation research in laboratories using cutting-edge technologies that are addressing important and impactful questions in modern genetics that impact human health and well-being, while also having extensive mentoring and career development opportunities. This innovative training program aims to be a model for "preparing diverse scientists for a diverse workforce". The Genetics IDP has developed several initiatives and partnerships that have resulted in a dramatic increase in diversity of applicants and matriculates to the program. Similar to the need for a diverse genetics workforce, efforts are needed to diversify preparedness for future workforce needs and career opportunities. Modern training in genetics and the sub-discipline of genomics not only requires mastering classical Mendelian and quantitative genetics, but expertise in big data, interpersonal interactions that is essential for convergence research, and project management that can be applied to diverse career opportunities. The training program, which will support 4 new trainees each year for 2-year appointments (8 concurrent trainees), is designed to train the next generation of scholar in modern genetics by providing contemporary skills and exposure to the increasingly broad range of career opportunities that these scholars will pursue in order to have a profound impact on the future of genetic sciences. The goals of the training program are to: 1) Provide doctoral students with balanced research and training opportunities that span the continuum from basic science to applied applications and the scientific knowledge needed to excel in modern genetic sciences irrespective of career path; 2) Offer a rigorous didactic training that provides the fundamentals in Mendelian and quantitative genetics, statistics and experimental design, rigor and reproducibility, biostatistics, big data computation skills, and a core set of competencies in communication, interpersonal interactions, and leadership and team science that will be required for successful careers in academia, industry and government; and 3) Ensure that trainees develop appreciation for, familiarity with, and exposure to various career opportunities for well-trained geneticists through mentorship and introduction to experts in various fields.Item type:Research Project, Dissecting the role of the bed nucleus of the stria terminalis in avoidant behavior.Psychology; https://hdl.handle.net/20.500.14641/1259; DHHS-NIH-National Institute of Mental HealthAvoidance is a hallmark symptom contributing to the deleterious impact of many anxiety disorders. Despite this, there are major gaps in our understanding of the neural circuits underlying avoidant behavior. A mechanistic account of this key symptom would advance progress toward brain-based innovations for the treatment of pathological anxiety. Signaled active avoidance (SAA) is a behavioral procedure for rats in which a highly persistent avoidance response is triggered by a conditioned stimulus (CS) associated with an aversive unconditioned stimulus (US). Because the avoidance response prevents US delivery, acquisition of SAA causes the US to transition from an imminent threat early in training to a remote threat later in training, once the response has become more frequent. Ethologically inspired models for aversive emotion suggest that this change in threat imminence is consistent with a shift from fear to anxiety, indicating that SAA expression is mediated by an anxiety-like state. The overarching hypothesis of this proposal is that neural circuits of anxiety-like behavior play a central role in SAA. Previous work implicates the bed nucleus of the stria terminalis (BNST) in anxiety. To generate preliminary data for the overarching hypothesis of this proposal, an initial experiment was conducted using an inhibitory DREADD (designer receptor exclusively activated by designer drugs) to inactivate BNST neurons in rats performing SAA. This manipulation demonstrated that BNST is necessary for the maintenance of the avoidance response. The proposed studies will build on this result by dissecting the function of a circuit mechanism for active avoidance, comprised of BNST and key regions that provide it with synaptic input (prefrontal cortex, basal amygdala). Given that avoidant coping is a behavioral disturbance common to many anxiety disorders, this work has clear relevance to public health. Discovery of an avoidance circuitry could provide a novel target for innovative therapeutic interventions for pathological anxiety. The goal of this work is to generate rigorous preclinical data that accelerates clinical advancement.