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Data from: A data-driven method for reconstructing and modelling social interactions in moving animal groups

dataset
posted on 03.10.2019, 11:48 by Ramón Escobedo, Valentin Lecheval, Vaios Papaspyros, Frank Bonnet, Francesco Mondada, Clement Sire, Guy Theraulaz
Experimental data for the article entitled
"A data-driven method for reconstructing and modelling social interactions in moving animal groups"
with authors
R. Escobedo, V. Lecheval, V. Papaspyros, F. Bonnet, F. Mondada, C. Sire, and G. Theraulaz.

Both dataset have the same structure of 13 columns containing the following information, in columns:

#1: Experiment_ID
#2: time of kick of focal fish
#3: x-coordinate of focal fish
#4: y-coordinate of focal fish
#5: x-coordinate of neighbour fish at the kicking time of the focal fish (column #2)
#6: y-coordinate of neighbour fish at the kicking time of the focal fish (column #2)
#7: distance to the wall of focal fish, r_w
#8: angle of incidence to the wall of focal fish, theta_w
#9: heading change of focal fish, delta phi

#10: distance between fish, d_ij
#11: angle psi_ij with which focal fish i perceives its neighbour j
#12: heading different phi_ij of neighbour fish j with respect to focal fish i
#13: angle psi_ji with which neighbour fish j perceives the focal fish i.

Time is in seconds, distances are in meters, and angles in radians (positive direction of angles is taken counterclockwise).

Funding

Germaine de Staël project No. 2019-17

Swiss National Science Foundation project “Self-Adaptive Mixed Societies of Animals and Robots”, Grant No. 175731

Marie Curie Core/Program Grant Fund- ing, Grant No. 655235–SmartMass

Scientific council of the Université Paul Sabatier

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