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
Segura, T., Miller, A. W., & Anderson, A. (2024). Data from: Wound healing splinting devices with improved wound access and application speed. Duke Research Data Repository. https://doi.org/10.7924/r4s75kg76
Kastenholz, H. V., Topper, M. I. , Warren, W. S. , Fischer, M. C., & Grass, D. (2024). Noninvasive identification of carbon-based black pigments with pump-probe microscopy. Duke Research Data Repository. https://doi.org/10.7924/r43j3nx2k
Cossette, B. J., Shetty, S., Issah, L. A., & Collier, J. H. (2024). Data from: Self-assembling allergen vaccine platform raises therapeutic allergen-specific IgG responses without induction of systemic allergic responses. Duke Research Data Repository. https://doi.org/10.7924/r4v40xs2n
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
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
Yousef, A., Rizzi, S., Insley, J., Mateevitsi, V., Randles, A. (2023). Data from: Enabling in situ visualization of large-scale cell simulations. Duke Research Data Repository. https://doi.org/10.7924/r49g5tm50
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
Zhou, K., Harfouche, M., Cooke, C. L., Park, J., Konda, P. C., Kreiss, L., Doman, J., Reamey, P., Saliu, V., Cook, C., Zheng, M., Bechtel, J. P., McCarroll, M., Bagwell, J., Horstmeyer, G., Bagnat, M. & Horstmeyer, R. (2023). Data from: Parallelized computational 3D video microscopy of freely moving organisms at multiple gigapixels per second. Duke Research Data Repository. https://doi.org/10.7924/r4db86b1q
Barth, B. B., Redington, E. R., Gautam, N., Pelot, N. A., Grill, W. M. (2023). Data from: Calcium image analysis in the moving gut (CIAMG). Duke Research Data Repository. https://doi.org/10.7924/r4js9v06m
Levy, E. J., Lee, A., Siodi, I. L., Helmich, E. C., McLean, E. M., Malone, E. J., Pickard, M. J., Ranjithkumar, R. Tung, J., Archie, E. A., & Alberts, S. C.(2022). Data from: Early life drought predicts components of adult body size in wild female baboons. Duke Research Data Repository. https://doi.org/10.7924/r43r11g2m
Li, T., Severson, K. S., Wang, F., Dunn, T. W. (2022). Data from: Improved 3D markerless mouse pose estimation using temporal semi-supervision. Duke Research Data Repository. https://doi.org/10.7924/r4hq43h4c
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
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
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
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
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
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
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. (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
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
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
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
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
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
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
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
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
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.
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
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