Shepherd-Banigan, M., McFatrich, M., Namestnik, A., Lucas, N., Coban, M., Kent, E. E., Shapiro, A., Clark, A. G., Gierisch, J. M., Tan, K. R., Cantrell, S., & Goldstein, K. M. (2025). Supplemental data from: Reframing experiences of caregiving through a public health lens: a qualitative evidence synthesis. Duke Research Data Repository. https://doi.org/10.7924/r4rj4ph4v.
Schaffer-Smith, D. & Swenson, J. J. (2025). Data and scripts from: Migratory shorebird response to non-tidal wetland dynamics at an internationally important inland Pacific Flyway stopover. Duke Research Data Repository. V2 https://doi.org/10.7924/r4ms3zq0q
Delaire, O., He, X., Gupta, M. K., Abernathy, D. L., Granroth, G. E., Ye, F., Winn, B. L., & Boatner, L. (2025). Data from: Resolving the dynamic correlated disorder in KTa1−xNbxO3. Duke Research Data Repository. https://doi.org/10.7924/r4x92f52w.
Simha, A. & Wright, J. P. (2025). Data and scripts from: Short-term fire frequency manipulation alters community and population responses to subsequent fires in a Southeastern pine savanna. Duke Research Data Repository. V4 https://doi.org/10.7924/r42234s5w
Williams J., Marszalek P., & Yang W. (2024). Data from: Computed isotope shifts of high-frequency vibrational modes exceed thermal noise in propionate bound to a human olfactory receptor. Duke Research Data Repository. https://doi.org/10.7924/r4ng4wb8d
Saito, I., Sheridan, R. J., Zauscher, S., & Brinson, C. (2025). Data from: Pushing AFM to the boundaries — interphase mechanical property measurements near a rigid body. Duke Research Data Repository. https://doi.org/10.7924/r4d79jv0f
Miller, A. W., Anderson, A., Suarez-Arnedo, A., & Segura, T. (2024). Data from: Wound healing splinting devices for faster access and use. Duke Research Data Repository. https://doi.org/10.7924/r4rn3ct2v
Janek, S. E., Matos, L. A., Hatoum, S., Mulawa, M. I., Ledbetter, L., & Relf, M. V. (2024). Data from: Racism, homophobia, and the sexual health of young Black men who have sex with men in the United States: A systematic review. Duke Research Data Repository. https://doi.org/10.7924/r4445wz1c
Torres, D. E., Dolbow, J. E., Hu, T., Stershic, A., & Shelton, T. R. (2024). Data from: A variational phase-field framework for thermal softening and dynamic ductile fracture. Duke Research Data Repository. https://doi.org/10.7924/r4rj4pd7z
Tian, Q., Goodhue, S., Xiong, H., & Dalton, L. E. (2024). Data from: Geo-SegNet: A contrastive learning enhanced U-Net for geomaterial segmentation. Duke Research Data Repository. https://doi.org/10.7924/r4rf5zz3v
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
Keener, R., Wang, L., & Ko, D. (2024). Data from: Human genetic variation reveals FCRL3 is a lymphocyte receptor for Yersinia pestis. Duke Research Data Repository. https://doi.org/10.7924/r43n2d008
Dome, P. A., Hong, J., Jang, H., Ennis, A., & Lim, W. Y. (2024). NMR Data from: Development of anti-infectives targeting bacterial LpxH or fungal FKBP12-calcineurin. Duke Research Data Repository. https://doi.org/10.7924/r48p67v57
White, E. L., Seymour, A., Dale, J., Newton, E., & Johnston, D. W. (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
Levin, E. (2024). Data from: Developmental exposure of rats to the flame retardant, triphenyl phosphate, causes long-lasting neurobehavioral and neurochemical dysfunction. Duke Research Data Repository. https://doi.org/10.7924/r42234r4z
Campos, J. A. & Brown, K. R. (2024). Data and code from: Clifford-deformed compass codes. Duke Research Data Repository. https://doi.org/10.7924/r4f47wc95
Anderson, A. R., Caston, E. L. P., Riley, L., Nguyen, L., Ntekoumes, D., Gerecht, S., & Segura, T. (2024). Data from: Engineering the microstructure and spatial bioactivity of MAP scaffolds instructs vasculogenesis in vitro and translates to vessel formation in vivo. Duke Research Data Repository. https://doi.org/10.7924/r4wm1hb9r
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
Gesquiere, L. R., Adjangba, C., Young, G., Brandon, C., Parker, S., Jefferson, E., Wango, T. L., Oudu, V. K., Mututua, R. S., Warutere, J. K., Siodi, I. L., Markham, A. C., Archie, E. A., & Alberts, S. C. (2024). Data from: Energetic costs of social dominance in wild male baboons. Duke Research Data Repository. https://doi.org/10.7924/r4kd23n9b
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
Freire Haddad, H., Roe, E. F., Xie Fu, V., Curvino, E. J., & Collier, J. H. (2024). Data from: Multi-target immunotherapy diminishes complement anaphylatoxin activity in acute inflammation. Duke Research Data Repository. https://doi.org/10.7924/r4j108n44
Fratarcangeli, M. & Moreno-Hernandez, I. A. (2024). Data from: Direct observation of structural disorder effects on iridium dioxide nanocrystal dissolution. Duke Research Data Repository. V2 https://doi.org/10.7924/r4kd2437m
Carley, L., Mojica, J., & Wagner, M. (2023). Variation for secondary chemistry and herbivory in Boechera. Duke Research Data Repository. https://doi.org/10.7924/r4g16624b
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
Green, E. & Jayasundara, N. (2024). Data from: The aquatic microbiome communicates with the Zebrafish (Danio rerio) embryo through the chorion to influence developmental trajectory. Duke Research Data Repository. https://doi.org/10.7924/r4ks6xn7m
Jacobia, E.R., & Jones, A.D. (2024). Data from: Lead dissolution in various solvent conditions for electrochemical detection of drinking water. Duke Research Data Repository. https://doi.org/10.7924/r4kh0tf7n
Dolbow, J. E. (2024). Data from: Classical variational phase-field models cannot predict fracture nucleation. Duke Research Data Repository. https://doi.org/10.7924/r4v128350
Brinson, C., Lin, A., Sheridan, R. J., & Hu, B. (2024). Data from: ViscoNet: a lightweight FEA surrogate model for polymer nanocomposites viscoelastic response prediction. Duke Research Data Repository. https://doi.org/10.7924/r4g166t5p
Mooney, R., & Pearson, J. (2021). Data from: Neural dynamics underlying birdsong practice and performance. Duke Research Data Repository. https://doi.org/10.7924/r4cc1366g
Wang, B., Aberra, A. S., Grill, W. M., Peterchev, A. V. (2022). Data from: Responses of model cortical neurons to temporal interference stimulation and other transcranial alternating current stimulation modalities. Duke Research Data Repository. https://doi.org/10.7924/r4n87d05r
Wang, B., Zhang, J., Li, Z., Grill, W. M., Peterchev, A. V., & Goetz, S. M. (2022). Data from: Optimized Monophasic Pulses with Equivalent Electric Field for Rapid-Rate Transcranial Magnetic Stimulation. Duke Research Data Repository. https://doi.org/10.7924/r4wd41f7d
Larsen, G. D. , Falvo, C., Tuohy, C., Goerke, M., Friedlaender, A. S., Nichols, R. C., Pallin, L., Simms, A., Groff, D., Ciminio, M., Johnston, D. W. (2022). Aerial data from drone surveys of coastal habitats on the West Antarctic Peninsula during austral summer (January–March 2020 and February–March 2019). Duke Research Data Repository. https://doi.org/10.7924/r4sf2xs2w
McLean, E. M., Moorad, J. A., Tung, J., Archie, E. A., & Alberts, S. C. (2023). Data from: Genetic variance and indirect genetic effects for affiliative social behavior in a wild primate. Duke Research Data Repository. https://doi.org/10.7924/r4c252v1k
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
Meredith, H. R., Wesolowski, A., Okoth, D., Maraga, L., Ambani, G., Chepkwony, T., Abel, L., Kipkoech, J., Lokoel, G., Esimit, D., Lokemer, S., Maragia, J., O'Meara, W. P., & Obala, A. A. (2024). Data and scripts from: Characterizing mobility patterns and malaria risk factors in semi-nomadic populations of Northern Kenya. Duke Research Data Repository. https://doi.org/10.7924/r49311n5m
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
Johnson, M. O., Kim, J-Y., Dalton, J. C., Cort, N., Herndon, J. E., Affronti, M. L., Peters, K. B., Jones, C. A. (2024). Data from: Comparing knowledge and perceptions of palliative care among neuro-oncology patients, caregivers, and providers to a representative U.S. sample. Duke Research Data Repository. https://doi.org/10.7924/r40s0030b
Cerino, D., Corbett, R., Halanych, K., Lawrence, S., Silliman, B., McWhorter, H., Bailey, A., Bean de Hernandez, A., & Wilkinson, J. (2024). Advancing climate technologies in Eastern North Carolina (NC). Duke Research Data Repository. https://doi.org/10.7924/r4pz5dp17
Amubieya, O., Todd, J. L., Neely, M. L., Kaner, R. J., Lasky, J. A., Namen, A., Hesslinger, C., Palmer, S. M., Weigt, S. S., & Belperio, J. A. (2024). Data from: Associations of circulating matrix metalloproteinases and tissue inhibitors of matrix metalloproteinases with clinically relevant outcomes in idiopathic pulmonary fibrosis: data from the IPF-PRO Registry. Duke Research Data Repository. https://doi.org/10.7924/r4ff40891
Hsu-Kim, H., Wadle, A., Neal-Walthall, N., & Ndu, U. (2023). Data from: Distribution and homogenization of multiple mercury species inputs to freshwater wetland mesocosms. Duke Research Data Repository. https://doi.org/10.7924/r4fj2p49s
Boulinguez-Ambroise, G., Boyer, D., & Young, J. W. (2024). Data from: Biomechanical and morphological determinants of maximal jumping performance in callitrichine monkeys. Duke Research Data Repository. https://doi.org/10.7924/r47m0hf0g
Yang, H., Dong, P., Kawai, T., & Yin, H. H. (2024). Data from: Calcium-activated ion channels drive atypical inhibition in medial habenula neurons. Duke Research Data Repository. https://doi.org/10.7924/r4w95d459
Kastenholz, H. V., Topper, M. I. , Warren, W. S. , Fischer, M. C., & Grass, D. (2024). Data and scripts from: Noninvasive identification of carbon-based black pigments with pump-probe microscopy. Duke Research Data Repository. V2 https://doi.org/10.7924/r48059m9k
O'Meara, W. P., & Laktabai, J. (2023). Data from: A cluster-randomized trial of client and provider-directed financial interventions to align incentives with appropriate case management in retail medicine outlets: results of the TESTsmART Trial in western Kenya. Duke Research Data Repository. https://doi.org/10.7924/r47w6kx70
Nadell, C. C., Huang, B., Malof, J. M., & Padilla, W. J. (2024). Data from: Deep learning for accelerated all-dielectric metasurface design. Duke Research Data Repository. https://doi.org/10.7924/r44j0qd59
Zhao, J., Bower, A., Yang, J., Lin, X. (2018). CTD data collected by Slocum glider operated between June and November 2015 in the Iceland Basin as part of OSNAP (Overturning in the Subpolar North Atlantic Program). Duke Digital Repository. https://doi.org/10.7924/r4m905g03
Shaver, E. C., Burkepile, D. E., Silliman, B. R. (2017). Data from: Local management actions can increase coral resilience to thermally-induced bleaching. Duke Digital Repository. https://doi.org/10.7924/G8348HFP
Caves, E. M., Green, P. A., Zipple, M. N., Peters, S., Johnsen, S., Nowicki, S. (2018). Data and scripts from: Categorical perception of colour signals in a songbird. Duke Digital Repository. https://doi.org/10.7924/r4rx96r99
Mello, D. F., Perez, L., Bergemann, C. M., Morton, K. S., Ryde, I. T., & Meyer, J. N. (2024). Data from: Comprehensive characterization of mitochondrial bioenergetics at different larval stages reveals novel insights about the developmental metabolism of Caenorhabditis elegans. Duke Research Data Repository. https://doi.org/10.7924/r4hm5fv5t
Hussain, M., Grill, W. M., & Pelot, N. A. (2024). Data and scripts from: Highly efficient modeling and optimization of neural fiber responses to electrical stimulation. Duke Research Data Repository. https://doi.org/10.7924/r48g8tf24
