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
Mukumbya, B., Kitya, D. Trillo-Ordonez, Y., Sun, K., Obiga, O., Deng, D. D., Stewart, K. A., Ukachukwu, A. K., Haglund, M. M., & Fuller, A. T. (2024). Data from: The feasibility, appropriateness, and usability of mobile neuro clinics in addressing the neurosurgical and neurological demand in Uganda. Duke Research Data Repository. https://doi.org/10.7924/r4m90f080
Liu, M., Ji, Z., Jain, V., Smith, V. L., Hocke, E., Patel, A. P., McLendon, R. E., Ashley, D. M., Gregory, S. G., & Lopez, G. Y. (2024). Images from: Spatial transcriptomics reveals segregation of tumor cell states in glioblastoma and marked immunosuppression within the perinecrotic niche. Duke Research Data Repository. https://doi.org/10.7924/r4nk3k26s
Raman, A., Zachem, T., Plumlee, S., Park, C., Eward, W., Codd, P., & Ross, W. (2024).Data from: Machine learning approaches in non-contact autofluorescence spectrum classification. Duke Research Data Repository. https://doi.org/10.7924/r4vt1vh11
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
