Fletcher, M., Ledbetter, L., Owusu Anash, O., Short, O., & Reuter-Rice, K. (2024). Data from: Does age of ADHD medication initiation predict long-term risk of anxiety? A scoping review. Duke Research Data Repository. https://doi.org/10.7924/r49p38q4j
Laudicina, C. C., Charbonneau, P., Hu, Y., Janssen, L., Morse, P. K., Pihlajamaa, I., & Szamel, G. (2024). Data from: Simple fluctuations in simple glass formers. Duke Research Data Repository. https://doi.org/10.7924/r4805b31d
Taylor, D., & Jones, A.D. (2024). Data from: Synthesis of metal-modified nanocellulose as a biofilm analogue. Duke Research Data Repository. https://doi.org/10.7924/r41v5qx4m
White, E., Seymour, A., Dale, J., Newton, E., & Johnston, D. (2024). Mapping the Ghost Fleet: Orthomosaics and ship locations from drone-based imagery of Mallows Bay, Maryland. Duke Research Data Repository. https://doi.org/10.7924/r4p273j8w
Kurt, E., Devlin, G., Asokan, A., & Segura, T. (2024). Data from: Gene delivery from granular scaffolds for tunable biologics manufacturing. Duke Research Data Repository. https://doi.org/10.7924/r4280h775
Cassidy, R., Dignon, E., Dominic, E., Douglas, G., Goldson, N., Haskins, C., Hogan, W., Kirby, C., Koya, M., Kumar, S., Oliva, T., St. Lawrence., S., Thompson, M., Wang, E., & Yang, M. (2024). Youth activist oral histories, 2010-2023. Duke Research Data Repository. https://doi.org/10.7924/r40p18j6q
Pasquale, D. K., Moody, J., Bentley-Edwards, K. Welsh, W., & Olson, A. (2024) Duke RDS^2: Respondent-driven sampling for respiratory disease surveillance, the snowball sampling study (social mixing and referrals dataset). Duke Research Data Repository. https://doi.org/10.7924/r43f4zj2q
Brandsen, S., Chandrasekhar, T., Franz, L., Grapel, J., Dawson, G., & Carlson, D. (2024). Scripts from: Prevalence of Bias against Neurodivergence-Related Terms in Artificial Intelligence Language Models. Duke Research Data Repository. https://doi.org/10.7924/r4xw4mn8r
Rosenthal, M. Z., Kelley, L. D, Guetta, R., Trumbull, J., McMahon, K. K., Anand, D., Greenleaf, A., Casillo-Robbins, C., & Shan, Y. (2023). Data from: Understanding Factors Associated with Misophonia (Misophonia Phenotyping - Phase 1). Duke Research Data Repository. https://doi.org/10.7924/r4gx4hk7f
Gu, M. (2023). Data and scripts from: The power of the family in times of pandemic: Cross-country evidence from 93 countries. Duke Research Data Repository. https://doi.org/10.7924/r49z9c395
Forte, M., Newton, E., McCusker, K., Falvo, C, & Johnston, D. (2023). Vulci 3000: Multispectral drone for the reconstruction of Etruscan landscapes in Italy. Duke Research Data Repository. https://doi.org/10.7924/r4b282d03
Hofmann Church, A., Abraham, S., Staats, H., Johnson-Weaver, B. (2023). Data from: Nasal immunization with mast cell activating adjuvants is an effective alternative vaccine strategy compared to injected alum-adjuvanted vaccines for induction of systemic and mucosal immunity to pertussis immunogens. Duke Research Data Repository. https://doi.org/10.7924/r4q52sp2h
Gilbert, J. E., Zhang, T., Esteller, R., Grill, W. M. (2023). Model Code and Supplemental Figures for: Network Model of Nociceptive Processing in the Superficial Spinal Dorsal Horn Reveals Mechanisms of Hyperalgesia, Allodynia, and Spinal Cord Stimulation. Duke Research Data Repository. https://doi.org/10.7924/r45h7qg0d
Lerch, B. Abbott, K., Archie, E., & Alberts, S. (2021). Data from: Better baboon breakups: collective decision theory of complex social network fissions. Duke Research Data Repository. V5 https://doi.org/10.7924/r4cn7967g
Wang, S., Hu, Y., Kouznetsova, T. B., Sapir, L., Chen, D., Herzog-Arbeitman, A., Johnson, J. A., Rubinstein, M., & Craig, S. L. (2023). Data from: Facile Mechanochemical Cycloreversion of Polymer Cross-linkers Enhances Tear Resistance. Duke Research Data Repository. https://doi.org/10.7924/r43r1215n
Martin, A., Liu, G., Ladd, W., Lee, S., Gounley, J., Vetter, J., Patel, S., Rizzi, S., Mateevitsi, V., Insley, J., Randles, A. (2023). Data and scripts from: Performance evaluation of heterogenous GPU programming frameworks for hemodynamic simulations. Duke Research Data Repository. https://doi.org/10.7924/r45t3t64k
Tanade, C., Rakestraw, E., Ladd, W., Draeger, E., Randles, A. (2023). Data from: Cloud computing to enable wearable-driven longitudinal hemodynamic maps. Duke Research Data Repository. https://doi.org/10.7924/r4f76jd8n
