Joardar, B. K., Bletsch, T.K., Chakrabarty, K. (2022). Data from: Machine learning-based rowhammer mitigation. Duke Research Data Repository. https://doi.org/10.7924/r4hh6p604
Mitra, S., Zhong, J., MacAlpine, D., Hartemink, A., MacAlpine, H. (2020). Data from: RoboCOP: Multivariate state space model integrating epigenomic accessibility data to elucidate genome-wide chromatin occupancy. Duke Research Data Repository. https://doi.org/10.7924/r4hx1b43s
Dohlman, A., Arguijo Mendoza, D., Ding, S., Gao, M., Dressman, H., Iliyan, D., Lipkin, S., & Shen, X. (2022). Data from: The cancer microbiome atlas (TCMA): A pan-cancer comparative analysis to distinguish organ-associated microbiota from equiprevalent contaminants. Duke Research Data Repository. V2 https://doi.org/10.7924/r4bk1j35s
Charbonneau, P., Kundu, J., Morse, P.K., Hu, Y. (2022). Data from: The dimensional evolution of structure and dynamics in hard sphere liquids. Duke Research Data Repository. https://doi.org/10.7924/r4p270q6x
Hu, Y. & Charbonneau, P. (2021). Data and scripts from: Numerical transfer matrix study of frustrated next-nearest-neighbor Ising models on square lattices. Duke Research Data Repository. https://doi.org/10.7924/r4v40tw6p
Jordans, M. J. D., Kohrt, B. A., Sangraula, M., Turner, E. L., Wang, X., Shrestha, P., Ghimire, R., Van‘t Hof, E., Bryant, R. A., Dawson, K., Marahatta, K., Luitel, N. P., & Van Ommeren, M. (2021). Data from: Effectiveness of Group Problem Management Plus a brief psychological intervention for adults affected by humanitarian disasters in Nepal: a cluster randomized controlled trial. Duke Research Data Repository. https://doi.org/10.7924/r4gh9jq3g.
Huang, A. (2020). Data from: Lightning Initiation from Fast Negative Breakdown is Led by Positive Polarity Dominated Streamers. Duke Research Data Repository. https://doi.org/10.7924/r44m97j8v
D'Alessio, D., Gray, S., Hoselton, A., Krishna, R., Slentz, C. (2022). Data from: GLP-1 receptor blockade reduces stimulated insulin secretion in fasted subjects with low circulating GLP-1. Duke Research Data Repository. V2 https://doi.org/10.7924/r41n87v9d
Folena, G., Biroli, G., Charbonneau, P., Hu, Y., Zamponi, F. (2022). Data from: Equilibrium fluctuations in mean-field disordered models. Duke Research Data Repository. https://doi.org/10.7924/r42f7w487
Dohlman, A., Arguijo Mendoza, D., Ding, S., Gao, M., Dressman, H., Iliev, I., Lipkin, S., & Shen, X. (2020). Data from: The cancer microbiome atlas (TCMA): A pan-cancer comparative analysis to distinguish organ-associated microbiota from contaminants. Duke Research Data Repository. https://doi.org/10.7924/r4rn36833
Charbonneau, P., Morse, P. K., Perkins, W., & Zamponi, F. (2021). Data from: Three simple scenarios for high-dimensional sphere packings. Duke Research Data Repository. https://doi.org/10.7924/r40z78x37
D'Alessio, D., Gray, S., Hoselton, A., Krishna, R., Slentz, C. (2022). Data from: GLP-1 receptor blockade reduces stimulated insulin secretion in fasted subjects with low circulating GLP-1. Duke Research Data Repository. https://doi.org/10.7924/r4ks6tf5q
Ko, D., & Wang, L. (2022). Data from: An atlas of genetic variation linking pathogen-induced cellular traits to human disease. Duke Research Data Repository. https://doi.org/10.7924/r4v125f95
Charbonneau, P., Folena, G., Hu, Y., & Zamponi, F. (2022). Data and scripts from: Local dynamical heterogeneity in simple glass formers. Duke Research Data Repository. https://doi.org/10.7924/r4542tw29
Charbonneau, P. & Morse, P. (2021). Data From: Memory formation in jammed hard spheres. Duke Research Data Repository. https://doi.org/10.7924/r41r6vf5t
Cassar, I. R., & Grill, W. M. (2022). Data from: The cortical evoked potential corresponds with deep brain stimulation efficacy in rats. Duke Research Data Repository. V2 https://doi.org/10.7924/r47s7t64c
Cassar, I. R., & Grill, W. M. (2021). Data from: The cortical evoked potential as a biomarker for deep brain stimulation efficacy. Duke Research Data Repository. https://doi.org/10.7924/r4r78d86s
Charbonneau, P. & Hu, Y. (2021). Data and scripts from: Resolving the two-dimensional ANNNI model using transfer matrices. Duke Research Data Repository. https://doi.org/10.7924/r4k074j0t