Individual locomotor bias drives counterclockwise motion in pedestrian crowds

[*] SourceData.xlsx — Processed source data underlying each manuscript figure (Figures 1–8), organized one sheet per panel. Contains summary statistics, polarization distributions, velocity fields, social-norm survey counts, and individual-pedestrian laterality data derived from the raw experimental recordings.

[*] ExperimentalData.zip — Raw trajectory data from all experiments, organized in four sub-folders:- Spain/ (11 sessions, 63 CSV files) and Japan/ (10 sessions, 40 CSV files): crowd-walking experiments with adult pedestrians. Each file records per-frame pedestrian positions, velocities, and polarization (columns: Time, Id-Ped, X, Y, VX, VY, Pol).- Teenagers/ (1 session) and Kids/ (4 sessions, 19 CSV files): equivalent recordings with younger age groups (same column format, without the Pol column).- Individual/Trajectories/ (209 CSV files) and Individual/IndData-WithPolarization.xlsx: single-pedestrian experiment trajectories plus a participant-level spreadsheet with laterality attributes (handedness, footedness, eye dominance, sex, eye-patch condition) and individual polarization scores.

[*] Codes.zip — Python scripts (figure_1e.py through figure_8.py, plus statistical_analysis.py) that reproduce all manuscript figures and statistical tests from SourceData.xlsx and ExperimentalData.zip.