Duke University Libraries' Multispectral Imaging Team. (2019). [Acts of the Apostles]. (multispectral file stack). Duke Digital Repository. https://doi.org/10.7924/r4c53jx21
Hu, Y., Fu, L., Charbonneau, P. (2018). Data, generating scripts and figures from: Correlation lengths in quasi-one-dimensional systems via transfer matrices. Duke Digital Repository. https://doi.org/10.7924/r4mk68m43
Pham, A. T., Zhuang, Y., Detwiler, P., Socolar, J.E.S., Charbonneau, P., Yellen, B. (2017). Data and scripts from: Phase diagram and aggregation dynamics of a monolayer of paramagnetic colloids. Duke Digital Repository. https://doi.org/doi:10.7924/G86H4FBQ
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
Zhuang, Y. and Charbonneau, P. (2017). Data and scripts from: Microphase equilibrium and assembly dynamics. Duke Digital Repository. https://doi.org/10.7924/G8JH3J7B
Fu, L., Bian, C., Shields, W., Cruz, D., Lopez, G., Charbonneau, P. (2017). Data and scripts from: Assembly of hard spheres in a cylinder: a computational and experimental study. Duke Digital Repository. https://doi.org/doi:10.7924/G82Z13F1
Ridge, J. T., Gray, P. C., Windle, A. E., & Johnston, D. W. (2020), Deep learning for coastal resource conservation: automating detection of shellfish reefs. Remote Sens Ecol Conserv. doi:10.1002/rse2.134
Charbonneau, P., Hu, Y., Raju, A., Sethna, J., & Yaida, S. (2019). Data and scripts from: Morphology of renormalization-group flow for the de Almeida–Thouless–Gardner universality class. Duke Digital Repository. https://doi.org/10.7924/r4zc7wm7d
