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
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
Charbonneau, P., Hu, Y., & Morse, P. (2024). Data from: Dynamics and fluctuations of minimally-structured glass formers. Duke Research Data Repository. https://doi.org/10.7924/r4tt4tq52
Parikh, N., McGovern, B., & LaBar, K. S. (2023). Data from: Spatial distancing reduces emotional arousal to reactivated memories. Duke Research Data Repository. https://doi.org/10.7924/r4z89f54g
Das, I., Le Roux, L., Mulwa, R., Ruhinduka, R., & Jeuland, M. (2023). Data and scripts from: Urban demand for cooking fuels in two major African cities and implications for policy. Duke Research Data Repository. https://doi.org/10.7924/r4qf8x909
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
Morton, K. S., Heffernan, N., Ryde, I. T, Hartman, J. H., Meng, L., & Meyer, J. N. (2023). Data from: Chronic high-sugar diet in adulthood protects Caenorhabditis elegans from 6-OHDA induced dopaminergic neurodegeneration. Duke Research Data Repository. https://doi.org/10.7924/r4183gr2w
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
Wang, L., Zheng, X., Kouznetsova, T. B. , Yen, T., Ouchi, T., Brown, C. L., Craig, S. L. (2022). Data from: Mechanochemistry of cubane. Duke Research Data Repository. https://doi.org/10.7924/r47h1r86c
Clark, D. P. and Badea, C. T. (2022). Supplemental data archive for the Multi-Channel CT Reconstruction (MCR) Toolkit. Duke Research Data Repository. https://doi.org/10.7924/r45m6cs1f
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
Ridge, J. T., DiGiacomo, A. E., Rodriguez, A. B., Himmelstein, J. D., Johnston, D. W. (2022). Data from: Comparison of 3D structural metrics on oyster reefs using unoccupied aircraft photogrammetry and terrestrial LiDAR across a tidal elevation gradient. Duke Research Data Repository. https://doi.org/10.7924/r41j9jn7t
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
Johnson, C., Exell, J., Lin, Y., Aguilar, J., Welsher, K. D. (2022). Data from: Capturing the start point of the virus-cell interaction with high-speed 3D single-particle tracking. Duke Research Data Repository. https://doi.org/10.7924/r4bp07h15.
Langdale, C. L., Hokanson, J. A., Sridhar, A., Grill, W. M. (2022). Data from: Stimulation of the pelvic nerve increases bladder capacity in the Prostaglandin E2 rat model of overactive bladder. Duke Research Data Repository. https://doi.org/10.7924/r4gb27w9h
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
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
Mahler, A., Williams, J.Z., Su, N.Q., Yang, W. (2022): Data and scripts from: Localized orbital scaling correction for periodic systems. Duke Research Data Repository. https://doi.org/10.7924/r4s75hv98
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
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
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
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
Ko, D., Gibbs, K., & Wang, L. (2022). Data from: Human variation impacting MCOLN2 restricts Salmonella Typhi replication by magnesium deprivation. Duke Research Data Repository. https://doi.org/10.7924/r4x92bd76
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
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
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
Ko, D., Wang, L., & Schott, B. (2022). Data from: Single-cell genome-wide association reveals a nonsynonymous variant in ERAP1 confers increased susceptibility to influenza virus. Duke Research Data Repository. https://doi.org/10.7924/r4g163n0s
Farrell, J., Natoli, M. J., Brown, G. J., Yook, A., & Lance, R. M. (2021). Data from: Testing of Full Face Snorkel Masks (FFSMs) to Examine Recreational Snorkeler Deaths. Duke Research Data Repository. https://doi.org/10.7924/r4h41tp1v
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
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
Deng, Y., Dong, J., Khatib, O., Malof, J., Padilla, W., Ren, S., Soltani, M., & Tarokh, V. (2021). Data from: Benchmarking deep learning architectures for artificial electromagnetic material problems. Duke Research Data Repository. https://doi.org/10.7924/r4jm2bv29
Smith, H. A., & Garomsa, B. (2021). Data and scripts from: Rubenstein Library card catalog. Duke Research Data Repository. https://doi.org/10.7924/r4br8v905
Charbonneau, P., Gish, C., Hoy, R. & Morse, P. (2021). Data from: thermodynamic stability of hard sphere crystals in dimensions 3 through 10. Duke Research Data Repository. https://doi.org/10.7924/r4jh3mw3w
Ciocanel, V. (2021). Data and scripts from: Actin reorganization throughout the cell cycle mediated by motor proteins. Duke Research Data Repository. https://doi.org/10.7924/r4zp43t43
Andersen, S. H., Richmond-Rakerd, L. S., Moffitt, T. E., & Caspi, A. (2021). Scripts from: Nationwide evidence that education disrupts the intergenerational transmission of disadvantage. Duke Research Data Repository. https://doi.org/10.7924/r4vx0dx06
Walker, I., Montaño, M., Lankone, R., Fairbrother, H. & Ferguson, L. (2021). Data from: Influence of CNT loading and environmental stressors on leaching of polymer associated chemicals from epoxy and polycarbonate nanocomposites. Duke Research Data Repository. https://doi.org/10.7924/r4r49q34n
Cassar, I. R., & Grill, W. M. (2021). Data from: Therapeutic frequency profile of subthalamic nucleus deep brain stimulation is shaped by antidromic spike failure. Duke Research Data Repository. https://doi.org/10.7924/r41n85692
Crewmembers of the Eastward. (2021). Research Vessel Eastward science logs, 1971 and 1975-1981. Duke Research Data Repository. https://doi.org/10.7924/r4dz09m64
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
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.
Crewmembers of the Dan Moore. (2021). Research vessel Dan Moore station logs, 1968-1981. Duke Research Data Repository. V2 https://doi.org/10.7924/r41j9fq8z
Charbonneau, P. & Morse, P. (2021). Data From: Memory formation in jammed hard spheres. Duke Research Data Repository. https://doi.org/10.7924/r41r6vf5t
Getzinger, G. J., Higgins, C. P., & Ferguson, P. L. (2021). Data and scripts from: A structure database and in silico spectral library for comprehensive suspect screening of per- and polyfluoroalkyl substances (PFASs) in environmental media by high-resolution mass spectrometry. Duke Research Data Repository. V2 https://doi.org/10.7924/r4q23zg65
Peña, E., Pelot, N. A., & Grill, W. M. (2021). Data from: Non-monotonic kilohertz frequency neural block thresholds arise from amplitude- and frequency-dependent charge imbalance. Duke Research Data Repository. https://doi.org/10.7924/r4pn94v5h
