%0 DATA
%A Karl B., Hoffmann
%A Anja, Voss-Böhme
%A Jochen, C. Rink
%A Lutz, Brusch
%D 2017
%T Original research data: time of minimal order in sampled trajectories of the dynamically diluted alignment model from A dynamically diluted alignment model reveals the impact of cell turnover on the plasticity of tissue polarity patterns
%U https://rs.figshare.com/articles/Original_research_data_time_of_minimal_order_in_sampled_trajectories_of_the_dynamically_diluted_alignment_model_from_A_dynamically_diluted_alignment_model_reveals_the_impact_of_cell_turnover_on_the_plasticity_of_tissue_polarity_patterns/5463697
%R 10.6084/m9.figshare.5463697.v1
%2 https://rs.figshare.com/ndownloader/files/9448369
%K mathematical biology
%K planar cell polarity
%K planaria
%K regeneration
%K interacting particlesystem
%K mean-field analysis
%X Time of minimal order data measured from sampled trajectories of the dynamically diluted alignment model (main text eqs. (4), (6) and (7)), using a variant of the stochastic simulation algorithm that is adapted to Interacting Particle Systems [Klauß and Voss-Böhme (2008)]. Columns are simulation ID, 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, lattice size in x- and y- direction, boundary condition in x- and y-direction, components s_x and s_y of the global signal vector, end time of the simulation, time interval of simulation logging, time of minimal order (the observable). There are data of 25 simulations with different random number series for each parameter combination.