Weeks lab data

Links to various data generated by our lab

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Each link will take you to a webpage with the data, descriptions of the data, and more specific links to relevant papers. You are free to download the data and use it however you like, as long as you give us credit (in other words, cite the paper which describes how the data were taken). As far as credit goes, each webpage should be clear about which specific paper to cite as the origin of the data. We are happy to collaborate with you if that would be helpful, but that's up to you! Contact Eric Weeks (erweeks / emory.edu) if you have questions about the data or about collaborating.

Also, please note that we have data sets from other experiments that have not been posted yet; this is especially true for more recent experiments. We certainly plan to get as much of it possible posted here. If there is data you especially want, please contact Eric and let him know and he'll try to get it to you ASAP.

Colloidal data

Monodisperse samples -- supercooled and glassy colloids Used in various papers 2000-2011. Most of these data sets are from Weeks et al., Science (2000). The aging data sets are from Courtland & Weeks, J. Phys.: Cond. Mat. (2003).
Colloidal crystal - liquid interface From Hernandez-Guzman and Weeks, PNAS (2009).
Sheared supercooled colloids From Chen et al., Phys. Rev. E (2010).
Binary samples -- supercooled and glassy From Narumi et al., Soft Matter (2011).
Crystallizing colloids (monodisperse) From Kurita, Ruffner, & Weeks, Nature Com. (2012). Although, this data set was taken by Eric Weeks and a portion of it was used in Weeks et al., Science (2000). See the data webpage for further description.
Colloid-filled droplets From Hunter, Edmond, & Weeks, PRL (2014). Data on dense colloidal suspensions confined in droplets.
2D bidisperse samples (supercooled)From Vivek et al., PNAS (2017). Data for 2D bidisperse samples approaching the colloidal glass transition, for both hard particles and soft particles.
Important note for all data sets: Some particles may not exist at all times, but the tracking program has identified them as likely the same particle and thus with a continuous identity. However, it is known that occasionally the tracking program makes mistakes with this. Also, please see comments in Poon, Weeks, and Royall (2012) about the uncertainties of volume fractions.

Experimental data from other than colloids

Soap film data From Vivek & Weeks PLoS ONE (2014). Data on tracer particles diffusing in soap films.
Flowing quasi-2D emulsions From Desmond & Weeks, PRL (2015). Data on stress fields around T1 events in flowing 2D emulsions.
Clogging data From Hong et al. (2017) and Tao et al. (2021). Data from clogging experiments and simulations.
Granular rods data From Freeman et al. (2019). Data from rod packing experiments and simulations.
Floating ellipses on granular bath From Tapia-Ignacio et al. (2020). Ellipses were floated on top of a magnetically agitated granular bath, and we observed their translational and rotational diffusion.
Emulsion rheology data From Cao et al. (2021). Looking at rheology of jammed and glassy emulsion samples.
Hopper flow data
(Emory Dataverse)
From Cheng et al., Soft Matter (2022). Data on oil droplets in water flowing through a hopper/funnel shape.

Simulation data

Packing fractions (2D and 3D) for random close packing for different particle size distributions From Desmond and Weeks, Phys. Rev. E (2014); Meer et al, Phys. Rev. E (2024).
Simulation of four disks & free-energy landscape data From Weeks and Criddle, Phys. Rev. E (2020).