Code, Data and Results in "Seismic Insights into the Role of Rockfall in Rockslide Destruction Processes"

This archive contains the codes and computed results reported in Wang Y., Chen Y., Zhang T., Huang H., and Zhou Q., Seismic Insights into the Role of Rockfall in Rockslide Destruction Processes. The file plot_code_and_result.7z contains the plotting codes and the corresponding results designed and generated for the paper. The files SSD_data.npy, x_data.npy, and y_data.npy are the training datasets used for the network implementation of Task A and Task B. Specifically, x_data.npy stores the three-component seismic data for individual samples, while SSD_data.npy contains the corresponding three-component sum-of-squared-deviation (SSD) physical-attribute features derived from x_data.npy. The file y_data.npy has the same sample length as x_data.npy, but contains only two label components, which represent the probabilities that each sampling point in the sample is classified as a rockfall event or a non-rockfall event, respectively.