Asiedu, M. N.; Agudogo, J.; Krieger, M.; Miros, R.; Proeschold-Bell, R. J.; Schmitt, J. W.; Ramanujam, N. (2017). Design and preliminary analysis of a vaginal inserter for speculum-free cervical cancer screening. Duke Digital Repository. https://doi.org/10.7924/G8X34VDZ
Bass, C. R.; Yu, A. W., Capehart, B. P. (2017). 16s rRNA microarray analysis of murine blood and brain tissue. Duke Digital Repository. https://doi.org/10.7924/G8B56GNQ
Eckersley, C., White, T., Cutcliffe, H., Shridharani, J., Wood, G., Bass, C. (2017). Foul tip impact attenuation of baseball catcher masks using head impact metrics. Duke Digital Repository. https://doi.org/10.7924/G81N7Z29.
Palmeri, M. L., Qiang, B., Chen, S., Urban, M. W. (2018). QIBA Ultrasound Shear Wave Speed Digital Phantoms. Duke Digital Repository. https://doi.org/10.7924/r4sj1f98c
Op 't Eynde, J., Yu, A., Eckersley, C., & Bass, C. (2019). Data from: Primary blast wave protection in combat helmet design: a historical comparison between present data and World War I. Duke Digital Repository. https://doi.org/10.7924/r4r49m981
Huang, O., Long, W., Bottenus, N., Trahey, G., Farsiu, S. Palmeri, M. L. (2019). UltraDuke Version 1. Duke Digital Repository. https://doi.org/10.7924/r49z94h1s
Yi, G. & Grill, W. M. (2020). Data and code from: Waveforms optimized to produce closed-state Na+ inactivation eliminate onset response in nerve conduction block. Duke Research Data Repository. https://doi.org/10.7924/r4z31t79k
Peña, E., Pelot, N. A., & Grill, W. M. (2020). Data from: Quantitative comparisons of block thresholds and onset responses for charge-balanced kilohertz frequency waveforms. Duke Research Data Repository. https://doi.org/10.7924/r4b27wq4m
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
Barth, B., Grill, W., Spencer, N., & Travis, L. (2020). Data from: The control of colonic motility using electrical stimulation to modulate enteric neural circuitry. Duke Research Data Repository. https://doi.org/10.7924/r4bk1dq8n
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
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
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
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
Breen, K., Asturias, G., Pena, D. M., Springate, H., Alvarez, V., Madonna, M.C., Ramanujam, N. (2022). Data from: Students' knowledge, attitudes and awareness before and after a community-centered design STEM learning intervention. Duke Research Data Repository. https://doi.org/10.7924/r4wm1df10
Zhou, K., McNabb, R., Qian, R., Degan, S., Dhalla, A., Farsiu, S., & Izatt, J. (2022). Data from: Computational 3D microscopy with optical coherence refraction tomography. Duke Research Data Repository. https://doi.org/10.7924/r46h4pk10
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
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