Training data for neural network-based determination of nematic elastic constants

Neural network training data packets (<strong><em>intensities_{i}.csv, K1K3_{i}.csv</em></strong>), each consisting of 1000 training data pairs, used in a machine learning-based method for determination of Frank elastic constants of nematic liquid crystals, experimental measurements of time-dependent light intensities (<strong><em>experimental_time</em></strong>_<strong><em>{i}.csv, experimental_intensity_{i}.csv</em></strong>), diode spectrum data (<strong><em>diode_lbd</em></strong><strong><em>.csv, diode_w.csv</em></strong>). These data sets are associated with the paper <strong><em>[Zaplotnik et al. SciRep, 2023]</em></strong> This is supplementary material for a Jupyter Notebook uploaded on Zenodo.