Acoustic emission waveform data used in the paper titled "Combining Acoustic Emission Monitoring and Unsupervised Machine Learning to Investigate Microscopic Fracturing Mechanisms in Tight Reservoir Rocks"

This is the AE waveform data used in the article "Combining acoustic emission monitoring and unsupervised machine learning to investigate microscopic fracturing mechanism of tight reservoir rock". The folders are named after the samples. Each file under the folder is waveform data. The sampling rate is 10 MHz.本数据集为论文《结合声发射监测与无监督机器学习探究致密储集岩微观断裂机制》中所使用的声发射（AE, Acoustic Emission）波形数据。数据集的文件夹以样本名称命名，各样本文件夹下的文件均为波形数据，采样率为10 MHz。