Altan, I., & Charbonneau, P. (2019). Data and scripts from: Obtaining soft matter models of proteins and their phase behavior. Duke Digital Repository. https://doi.org/10.7924/r4ww7bs1p
Charbonneau, P., Corwin, E. I., Dennis, R. C., Díaz Hernández Rojas, R., Ikeda, H., Parisi, G., & Ricci-Tersenghi, F. (2021). Data and scripts from: Finite size effects in the microscopic critical properties of jammed configurations: a comprehensive study of the effects of different types of disorder. Duke Research Data Repository. https://doi.org/10.7924/r4833vm1m
Smith, H. A., & Garomsa, B. (2021). Data and scripts from: Rubenstein Library card catalog. Duke Research Data Repository. https://doi.org/10.7924/r4br8v905
Folena, G., Biroli, G., Charbonneau, P., Hu, Y., Zamponi, F. (2022). Data from: Equilibrium fluctuations in mean-field disordered models. Duke Research Data Repository. https://doi.org/10.7924/r42f7w487
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
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
Brandsen, S., Chandrasekhar, T., Franz, L., Grapel, J., Dawson, G., & Carlson, D. (2024). Scripts from: Prevalence of Bias against Neurodivergence-Related Terms in Artificial Intelligence Language Models. Duke Research Data Repository. https://doi.org/10.7924/r4xw4mn8r
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
