Experimental data, NetLogo model and data, and analytical R code supporting 'Adaptive collective behaviour reduces the impact of limited visual information from water turbidity'

This supplementary data and code set accompanies the manuscript "Adaptive collective behaviour reduces the impact of limited visual information from water turbidity" by Christos C. Ioannou, James Cordery & Sean A. Rands (School of Biological Sciences, University of Bristol, United Kingdom).

Four files are presented:

SupData.csv — a comma-delimited text file containing the experimental data collected in the fish experiments.

netlogo_turbidity_shoaling_model.nlogo — an annotated NetLogo model file, detailing the code used for generating the shoaling models used in the manuscript. This version was created in NetLogo 6.4.0 (https://ccl.northwestern.edu/netlogo/6.4.0/).

modelling_data.csv — a comma-delimited text file containing the modelling data used described in the manuscript.

SupRcode.R — a plain-text R code file, containing code used for analysing the data (and generating the manuscript figures) contained in SupData.csv and modelling_data.csv.