nsl-uw/IBL_5ae68c54-2897-4d3a-8120-426150704385_aligned

这是一个包含多个生物电信号相关特征的实验数据集，包括稀疏数据、索引、指针、形状、选择、区块、奖励、对比度、轮速、触须运动能量等序列数据，以及实验ID、实验室、实验对象、采样频率、簇区域、簇通道、簇深度、有效簇和簇唯一标识等非序列数据。数据集分为训练集、验证集和测试集，用于机器学习模型的训练和评估。

This is an experimental dataset containing multiple features related to bioelectrical signals, including sequential data such as sparse data, indices, pointers, shapes, choices, blocks, rewards, contrasts, wheel-speed, whisker-motion-energy, etc., as well as non-sequential data such as experiment ID, lab, subject, sampling frequency, cluster regions, cluster channels, cluster depths, good clusters, and cluster UUIDs. The dataset is split into training, validation, and test sets for training and evaluation of machine learning models.