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. V2 https://doi.org/10.7924/r4pc3624h
Rosenthal, M. Z. (2024). Data from: Relationships among stress, perceived stress, trauma, PTSD, and misophonia. Duke Research Data Repository. https://doi.org/10.7924/r4mp57d4n
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
Jacobs, H. L., & Sorenson, L. (2024). Dictionary of Art Historians - Art Historian Entries 2017-2023. Duke Research Data Repository. https://doi.org/10.7924/r4vd71x1m
Chen, P., & Guilleminot, J. (2022). Data from: Spatially-dependent material uncertainties in anisotropic nonlinear elasticity: Stochastic modeling, identification, and propagation. Duke Research Data Repository. https://doi.org/10.7924/r4rn3c061
Bonnet, G., Charbonneau, P., & Folena, G. (2023). Data and scripts from: Glass-like caging with random planes. Duke Research Data Repository. https://doi.org/10.7924/r4gx4hm10
