Dataset for "Numerical methods for the detection of phase defect structures in excitable media" (Q6703112)

This archive contains the numerical methodspresented in the publication Numerical methods for the detection of phase defect structures in excitable media as well as the data sets these methods have been applied on. The Python module for Ithildin (py_ithildin.zip) contains the actual Python source code of those methods. Additional Python scripts have been used to generate the figures in the paper (scripts-pdl-detection.zip). The optical voltage mapping data (optical_*) has been slightly pre-processed (noise reduction, re-scaling, etc). The second variable for the optical data (optical_20200204114234_v.npy) is a delayed version of the first variable.The other files contain simulation results from several finite differences simulations of the mono-domain model. For details, see our paper. Numerical methods for the detection of phase defect structures in excitable media KabusD, ArnoL, LeenknegtL, PanfilovAV, DierckxH (2022)Numerical methods for the detection of phase defect structures in excitable media. PLOS ONE 17(7): e0271351.https://doi.org/10.1371/journal.pone.0271351