Supplementary Data for "Prediction of solar wind speed by applying convolutional neural network to potential field source surface (PFSS) magnetograms"

These are supplementary data for the paper "Prediction of solar wind speed by applying convolutional neural network to potential field source surface (PFSS) magnetograms". They are: - Python code to construct a neural network model - Saved optimal models (for 8-fold validation) - Selected y-label data (solar wind speed) and corresponding dates, which we eliminate the data identified as ICME