Experimental and simulated data from "Swimming speed of schooling fish controls social interaction strength in open-loop immersive virtual reality"

Experimental data and data from numerical simulations from "<b>Swimming speed of schooling fish controls social interaction strength in open-loop immersive virtual reality</b>", with authors Ramón Escobedo, Justine Reynaud, Stéphane Sanchez, Clément Sire, Guy Theraulaz.<b>** DATA:</b>Experimental data of three-dimensional trajectories of a single fish (<i>Hemigram</i><i>mus rhodostomus</i>) swimming freely in a hemispherical bowl in company of a virtual conspecific describing fixed circular trajectories with different speeds in a open-loop virtual reality system. A fully three-dimensional, data-driven model is used to produce fish trajectories in the same conditions.Data sets have the same structure of 9 columns containing the following information, in columns:#1: Experiment_ID<br>#2: Index of time interval with continuous time.<br>#3: Time (in seconds), with time step = 1/30 s.<br>#4, #5, #6: x, y, and z coordinates of the real fish, in meters.<br>#7, #8, #9: x, y, and z coordinates of the virtual fish, in meters.<br>The origin of coordinates is located at the center of the water surface. The vertical coordinate z denotes the <b>depth</b>, which is zero at the surface and increases positively downward. The line (0,0,z) corresponds to the vertical axis of the sphere in which the bowl is inscribed.The files <b>K1.dat</b> to <b>K6.dat</b> correspond to the experimental conditions where the speed of the virtual fish is fixed at a constant value, <b>v = 5, 7.5, 10, 11.67, 13.33,</b> and <b>15 cm/s</b> respectively.The files <b>S</b><b>1.dat</b> to <b>S</b><b>6.dat</b> are the numerical simulations corresponding to the respective experimental condition.In the experimental data, time is continuous in each interval, but not between intervals, so positions experiment a jump from one time interval to another. There are no jumps in the simulated data.<b>** CODE:</b><b>Model3D-VR.py:</b> Python code to produce the numerical simulations of Conditions C1, C2, and C3 (among others).INPUT:<br>- <b>Parameters-Input.txt:</b> External parameter file containing all interaction coefficients<br>Format: space-separated values with parameter names and values (110 lines)<br><br>OUTPUT:<br>- <b>PDF/Model_3D_PDF_*.dat:</b> Probability distribution files containing:<br>* Velocity distributions (v, dv, v_z)<br>* Spatial distributions (r_w, r, z)<br>* Angular distributions (theta_w, chi, psi, Dphi)<br>* Distance distributions (d, d_z)<br><br>- <b>Trajectories/Model_3D_*_traj_*.dat:</b> Trajectory files with:<br>* Time series of x,y,z positions for all agents<br>* Saved at specified time intervals<br>