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
Zhou, K., Cook, C., Chakraborty, A., Bagwell, J., Jönsson, J., Lee, K. C., Yang, X., Xu, S., Balla, R., Kolar, K., Lewis, C., Harfouche, M., Fox, D., Bagnat, M., & Horstmeyer, R. (2025). Data from: High-speed 4D fluorescence light field tomography of whole freely moving organisms. Duke Research Data Repository. https://doi.org/10.7924/r4zs30t4h
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
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
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
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
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
Xiao, S., Michael, V., Mooney, R. (2023). Data from: Nested circuits mediate the decision to vocalize. Duke Research Data Repository. https://doi.org/10.7924/r4x35002b
