Multichannel station time-series feature arrays — Part 1 of 2

This dataset contains five NumPy arrays of float32 measurements, one file per station (station_001.npy to station_005.npy). Each file has shape 1000 × 78 and stores continuous-valued multivariate observations for a station-based scientific experiment. The values are centered near zero overall, with a typical range spanning approximately -26.7 to 17.6. The arrays are suitable for analysis of temporal patterns, feature relationships, and station-to-station comparisons in a multichannel data setting.