Dataset for "Lane nucleation in complex active flows"

Experimental data from human crowd experiments on lane nucleation, including processed videos, extracted trajectories, as well as data processing code.

Code and high-level processed results of agent-based simulations of active binary flows, including hard sphere model, and data-driven model.

lane formation, complex flows, pedestrian experiments
Complexity science
Mathematical sciences

Cite this dataset as:
Bacik, K., Bacik, B., Rogers, T., 2023. Dataset for "Lane nucleation in complex active flows". Bath: University of Bath Research Data Archive. Available from:


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application/zip (6MB)
Creative Commons: Attribution 4.0

Pedestrian trajectories extracted from the experiment


Experimental …
application/zip (14kB)
Creative Commons: Attribution 4.0

Data processing for pedestrian experiments. Includes collisional operator extraction, density analysis, and chiral symmetry assessment.

Simulation …
application/zip (260MB)
Creative Commons: Attribution 4.0

Code and metadata from agent-based simulations of complex flows.

Mixed access regime: will be made available on request to bona fide researchers.


Karol Bacik
University of Bath

Bogdan Bacik
Academy of Physical Education in Katowice

Tim Rogers
University of Bath


University of Bath
Rights Holder

Academy of Physical Education in Katowice
Rights Holder, Data Collector


Data collection method:

All methodology information can be found in the main article, and accompanying Supplemental Materials.


Engineering and Physical Sciences Research Council (EPSRC)

Discrete noise in stochastic active flows

Publication details

Publication date: 2 March 2023
by: University of Bath

Version: 1


URL for this record:

Related papers and books

Bacik, K. A., Bacik, B. S., and Rogers, T., 2023. Lane nucleation in complex active flows. Science, 379(6635), 923-928. Available from:

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Karol Bacik


Faculty of Science
Mathematical Sciences

Research Centres & Institutes
Centre for Networks and Collective Behaviour