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类型的数值测量NumPy数组，每个站点对应一个数据文件（命名为station_001.npy至station_005.npy）。各文件的数组形状均为1000×78，用于存储基于站点的科学实验中的连续值多变量观测数据。整体而言，数据值以零为中心分布，典型取值范围大致为-26.7至17.6。该数组集适用于多通道数据场景下的时序模式分析、特征关联分析以及站点间对比研究。