Wu, R., Shihab Kabir, M., Martin, A., Ma, W., & Randles, A. (2025). Data from: Investigating the Influence of Red Blood Cell Heterogeneity on Cell Transport and Blood Flow Hemodynamics. Duke Research Data Repository. https://doi.org/10.7924/r4zs30v9c
White, E. C., Seymour, A., Dale, J., Newton, E., & Johnston, D. W. (2025). Mapping the Ghost Fleet: Orthomosaics and ship locations from drone-based imagery of Mallows Bay, Maryland. Duke Research Data Repository. V2 https://doi.org/10.7924/r4v12927x
Tschoepe, S., Emanuel, R., Moreau, G., & Cada, P. (2025).
Data from: Fueling inequity: Geospatial analyses reveal racial patterns in vulnerability to natural gas pipeline impacts in North Carolina. Duke Research Data Repository. https://doi.org/10.7924/r4bz6fq97
Wang, B., Shah, V. U., Koponen, L. M., Neacsiu, A. D., Daskalakis, Z. J., Fitzgerald, P. B., Appelbaum, L. G., Choi, J. Y., Gerlus, N., Li, Y., Hadas, I., Sun, Y., Poorganjid, M., Daniels, H., Rodriguez, K., Gotsis, E. S., Bailey, N. W., Raveendran, J., Brinley, S. K., Gallo, A. T., Goetz, S. M., & Peterchev, A. V. (2025). Data from: Stochastic approximator of motor threshold (SAMT) for transcranial magnetic stimulation: Online software and its performance in clinical studies. Duke Research Data Repository. https://doi.org/10.7924/r44f2210t
Jin, Z., Huang, J., Hower, J. C., & Hsu-Kim, H. (2025). Data and code from: Multivariate bayesian regression model for predicting disposed ash composition at U.S. coal fired power stations. Duke Research Data Repository. https://doi.org/10.7924/r4vm4h42h
Franz, K. J., Bontreger, L. J., Gallo, A. D., Moon, J., Silinski, P., & Monson, E. (2025). Data from: Intramolecular histidine crosslinks formed via copper-catalyzed oxidation of histatin peptides. Duke Research Data Repository. https://doi.org/10.7924/r4nv9q11m.
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.
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
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
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
Green, E., Kim, Y. J., & Jayasundara, N. (2025). 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
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. (2024). Data from: Dual neuromodulatory dynamics underlie birdsong learning. Duke Research Data Repository. https://doi.org/10.7924/r4s186852
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
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
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
Martin, A., Liu, G., Joo, B., Wu, R., Kabir, M. S., Draeger, E., Randles, A. (2024). Data and Scripts from: Designing a GPU-accelerated communication layer for efficient fluid-structure interaction computations on heterogenous systems. Duke Research Data Repository. https://doi.org/10.7924/r43n2cd83
D’Agostino, V. W., Deutsch, R. J., Kwan, M., Sunassee, E. D., Madonna, M. C., Palmer, G. M., Crouch, B. T., & Ramanujam, N. (2024). Data from: In vivo spectroscopy to concurrently characterize five metabolic and vascular endpoints relevant to aggressive breast cancer. Duke Research Data Repository. https://doi.org/10.7924/r4vx0k33z
