Multichannel station time-series feature arrays — Part 2 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.本数据集包含5个float32格式的数值测量NumPy数组（NumPy array），每个站点对应一个独立文件，文件命名为station_001.npy至station_005.npy。每个文件的数组形状为1000 × 78，存储了面向站点型科学实验的连续值多变量观测数据。整体数值围绕零值集中分布，典型取值区间大致介于-26.7至17.6之间。该数组集可应用于多通道数据场景下的时序模式分析、特征关联关系探究以及站点间横向对比研究。