Substrate evaporation drives collective construction in termites

DATA

Note: Original raw high resolution video and timelapse are not included here because quite heavy but can be requested to corresponding authors.

median_demo[...]video.mp4 - median of timelapse of experiments in video format (experiment 66), white spots correspond to deposited pellets black spots correspond to collected pellets.

exp_[58,63,65,66,76]_median.tiff - median of timelapse of experiments in images stack format, white spots correspond to deposited pellets black spots correspond to picked pellets. Images are produced using min_stack_average_Alann.py on raw timelapses.

exp78_start_vol_200_gauss15_Linear_short.hdf5 - 3D scalar data use to initialise 3D numerical simulation wall case obtained from surface scanner.

exp66_start_vol_200_gauss15_Linear_short.hdf5 - 3D scalar data use to initialise 3D numerical simulation (pillars case) obtained from surface scanner.

ROUTINES FOR ANALYSIS

min_stack_average_Alann.py To produce a an average of experiment timelapse while substracting initial image. To get rid of termite rapid motion and track collection and deposition actions

stack_analyse_particles_double.py. To build heatmaps of collections and depositions showed in Figure 2A starting from average image stacks.

heatmap_npz_corr_v_paper_281122_PNAS_radial_cut_black.py To build frequency of deposition/collection conditional to spatial occupancy of termites. Use heatmap of collection and deposition and occupancy heatmap EXP66_s4r_797_heatmap_data_pos.npz produced by opensource tracking tool Trex.

read_heatmap_pick_drop_npz_many_paper_1023_nocum To build radial cuts of collections and depositions heatmaps as shown in figure 2B.