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
Royall, C. P., Charbonneau, P., Dijkstra, M., Russo, J., Smallenburg, F., Speck, T., & Valeriani, C. (2024). Data from: Colloidal hard spheres: Triumphs, challenges, and mysteries [nucleation]. Duke Research Data Repository. https://doi.org/10.7924/r4x35163x
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
Peterchev, A. V., Deng, Z., Sikes-Keilp, C., Feuer, E. C., Rosa, M. A., & Lisanby, S. H. (2024). Data from: Optimal frequency for seizure induction with electroconvulsive therapy and magnetic seizure therapy. Duke Research Data Repository. https://doi.org/10.7924/r4765pt3p
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
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
Faigenbaum-Golovin, S., Kipnis, A., Bühler, A., Piasetzky, E., Römer, T., & Finkelstein, I. (2024). Data from: Critical biblical studies via word frequency analysis: Unveiling text authorship. Duke Research Data Repository. V2 https://doi.org/10.7924/r4cr61n46
Faigenbaum-Golovin, S., Kipnis, A., Bühler, A., Piasetzky, E., Römer, T., & Finkelstein, I. (2024). Data from: Critical biblical studies via word frequency analysis: Unveiling text authorship. Duke Research Data Repository. https://doi.org/10.7924/r42b97k21
Fan, P. & Spasojevic, I. (2024). Data from: Unlocking the therapeutic potential of T-DXd (Enhertu): Insights into mechanisms of action in HER2-low cancers and immunomodulatory effects. Duke Research Data Repository. https://doi.org/10.7924/r4862qh18
