Original research data: time of minimal order in numerical solutions of the mean-field model from A dynamically diluted alignment model reveals the impact of cell turnover on the plasticity of tissue polarity patterns
datasetposted on 03.10.2017 by Karl B. Hoffmann, Anja Voss-Böhme, Jochen C. Rink, Lutz Brusch
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Time of minimal order data measured from numerical solutions of the ODE system of the mean-field model (main text eq. (19)), using Runge-Kutta scheme with time step 10^(-6). Columns are ID of the ODE, de-novo polarisation rate beta, cell replacement rate delta, neighbour coupling strength epsilon_n, effective neighbour coupling strength epsilon_n_eff (which is a function of beta, delta and epsilon_n), coupling strength to global signal epsilon_s, components s_x and s_y of the global signal vector, end time of the simulation, time interval of simulation logging, and the following observables: minimal order, first time at which minimal order is attained, last time at which minimal order is attained, flag whether tissue polarity inverted direction (false if first and last time of minimal order differ), corrected time of minimal order (the observable, NaN if tissue polarity did not invert direction).