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
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.
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
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
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
White, E. C., 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
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
Schaffer-Smith, D., Swenson, J. J. (2018). Data and scripts from: Migratory shorebird response to non-tidal wetland dynamics at an internationally important inland Pacific Flyway stopover. Duke Digital Repository. https://doi.org/10.7924/r47w6b882
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
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
Fratarcangeli, M. & Moreno-Hernandez, I. A. (2024). Data from: Direct observation of structural disorder effects on iridium dioxide nanocrystal dissolution. Duke Research Data Repository. https://doi.org/10.7924/r4j38zs5d
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
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
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
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
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
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
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
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
Mooney, R., & Pearson, J. (2024). Data from: Dual neuromodulatory dynamics underlie birdsong learning. Duke Research Data Repository. https://doi.org/10.7924/r4s186852
Aldrich, J.; Munger, M. C.; Cooper, A.; Rozell, M.; Wilcox, C.; Green, J. (2013). 2000-2004 Presidential Donor Survey. Duke Digital Repository. http://hdl.handle.net/10161/7882
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. https://doi.org/10.7924/r43j3nx2k
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
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
Fischer, E., Fischer, M., Grass, D., Henrion, I., Warren, W., Westman, E. (2020). Video data files from: Low-cost measurement of facemask efficacy for filtering expelled droplets during speech. Duke Research Data Repository. V2 https://doi.org/10.7924/r4ww7dx6q
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
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
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
Gunsch, C. (2020). Data from: Evaluation of the mycobiome of ballast water and implications for fungal pathogen distribution. Duke Research Data Repository. https://doi.org/10.7924/r4t72cv5v
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
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
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
Crewmembers of the Eastward. (2021). Research Vessel Eastward science logs, 1971 and 1975-1981. Duke Research Data Repository. https://doi.org/10.7924/r4dz09m64
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
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
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
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
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
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
