mronacgiannone/AI_Infrasound_Phase_Identification: Zenodo

Windowed time-series infrasound data are provided inside Python dictionary files for each array. Each windowed data sample is labeled by datetime, array, sensor, and signal number. With this data, you can start with Jupyter Notebook 3 in the Github repository and reconstruct the dataset used to train InfraCoder with data envelopes, scalograms, and wavelet phase spectra.本数据集为各传感器阵列提供存储于Python字典文件中的加窗时间序列次声数据。每个加窗数据样本均通过日期时间、阵列、传感器及信号编号进行标注。依托该数据集，可直接从GitHub仓库中的Jupyter笔记本（Jupyter Notebook）3入手，利用数据包络、小波尺度图（scalogram）以及小波相位谱（wavelet phase spectra）复现用于训练InfraCoder的数据集。