D'Agostino, V. W. & Ramanujam, N. (2025). Data from: In vivo imaging of metabolic heterogeneity across three endpoints relevant to aggressive breast cancer. Duke Research Data Repository. https://doi.org/10.7924/r4z32354z
Cook, C. B., Zhou, K. C., Bohlen, M., Harfouche, M., Kanghyun, K., Reamey, P., Foust, J. S., Horstmeyer, G., Balla, R., Chaware, A., & Horstmeyer, R. (2025). Data from: Fourier Lightfield Multiview Stereoscope for Large Field-of-View 3D Imaging in Microsurgical Settings. Duke Research Data Repository. https://doi.org/10.7924/r4hd8386m
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
Barth, B. & Grill, W. (2025). Data and code from: Burst-patterned stimulation restores colonic motility. Duke Research Data Repository. https://doi.org/10.7924/r4z89gs4z
Long, J., Bradway, D., Huber, M., Small, M., Ghate, S., McNally, P., Pinkett, E., Ellestad, S., & Trahey, G. (2025). Data from: Utility of coherence-based adaptive frequency selection in a clinical scanner. Duke Research Data Repository. https://doi.org/10.7924/r4rf60w47
Peña, E., Pelot, N. A., Grill, W. M. (2025). Data and scripts from: Ramped kilohertz-frequency signals produce nerve conduction block without onset response. Duke Research Data Repository. https://doi.org/10.7924/r4d225z2t
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
Nataren Moran, J. (2024). Data, scripts, and functions from: Classifying human atrial electrograms and generating patient-specific models of the left atrial posterior wall using point cloud data to simulate electrograms arising from different tissue substrates. Duke Research Data Repository. https://doi.org/10.7924/r4br90c8z
Peña, E., Pelot, N., & Grill, W. M. (2024). Data from: Computational models of compound nerve action potentials: Efficient filter-based methods to quantify effects of tissue conductivities, conduction distance, and nerve fiber parameters. Duke Research Data Repository. https://doi.org/10.7924/r4fx7gq46
Peña, E., Pelot, N. A., Grill, W. M. (2023). Data from: Spatiotemporal Parameters for Energy Efficient Kilohertz-Frequency Nerve Block with Low Onset Response. Duke Research Data Repository. https://doi.org/10.7924/r4w37z317
