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.