Simulation Dataset: Air-breathing synchrony in juvenile Arapaima gigas reveals collective coordination under individual physiological constraints

This is a supplementary simulation dataset to reproduce Figs. 4-7 of the manuscript "Air-breathing synchrony in juvenile Arapaima gigas reveals collective coordination under individual physiological constraints" by Bartashevich et al. General Structure The archive is organized into four folders, each corresponding to a figure in the manuscript: Fig4/ Fig5/ Fig6/ Fig7/ All simulation data are provided as NumPy .npy files, except for Figure 7, which uses .csv format. ______________________________________________________________________________________________ - Fig4 This folder contains data for homogeneous (Fig. 4A–F) and heterogeneous (Fig. 4G–K) group compositions. File naming convention:Files are named according to: Breathing type (pers1–pers6) Number of agents (e.g., Npop200) Coupling strength parameter (beta, ranging from 0 to 30) File contents: histvalues: Raw breathing interval data from 10 simulation runs, each with 1000 time steps (dt = 0.01) mean: Mean breathing interval std: Standard deviation of breathing intervals laplace_emp_arr: Results of a two-sided Kolmogorov–Smirnov test against a Laplace distribution with empirical scale parameter b=3.55 laplace_stst_arr: Results of a two-sided Kolmogorov–Smirnov test against a fitted Laplace-like distribution Metric files contain arrays evaluated across all coupling strengths (beta = 0–30). Note (heterogeneous groups in Fig. 4G-K): pers3: Groups composed of three breathing types pers6: Groups composed of six breathing types ______________________________________________________________________________________________ - Fig5 This folder contains all data required to reproduce Figure 5. File naming follows the same conventions as in Fig4, with an additional parameter: perc_slow: Number of agents of the slowest breathing type (pers4) Range: 0–67 for Npop100 Range: 0–133 for Npop200 ______________________________________________________________________________________________ - Fig6 This folder contains data for simulations with partaking. File naming convention includes: Number of agents (e.g., Npop200) Intra-cluster coupling strength (bintra: 5, 10, 15, 20, 25, 30) Inter-cluster coupling strength (binter: 0.0–1.0 in steps of 0.1) File contents: sum_of_sqr_diff_arr: Data for Fig. 6A laplace_pvalues: Data for Fig. 6B std: Data for Fig. 6C histvalues, probs: Data for Fig. 6D–G ______________________________________________________________________________________________ - Fig7 This folder contains three .csv files corresponding to Fig. 7A–C. The files include the following columns used for visualization: compromise_id (x-axis) breathing_gr_r_corresponding (y-axis) para_id (color hue) Visualization:Plots can be reproduced using the scatterplot function from the Seaborn library in Python. ______________________________________________________________________________________________