EEGDash/nm000172

该数据集是Schirrmeister等人于2017年描述的高伽马脑电图数据集，主要用于视觉和运动相关的研究。数据集包含14名健康受试者的28次记录，每次记录有128个通道，采样率为500Hz。数据集的总时长为28.7小时，磁盘占用空间为18.5GB。数据集的许可证为CC-BY-4.0，原始数据存储在OpenNeuro/NEMAR平台，可以通过EEGDash工具或braindecode库进行访问和加载。

This dataset is the high-gamma EEG dataset described by Schirrmeister et al. in 2017, primarily used for visual and motor-related research. The dataset includes 28 recordings from 14 healthy subjects, each with 128 channels and a sampling rate of 500Hz. The total duration of the dataset is 28.7 hours, with a disk space usage of 18.5GB. The dataset is licensed under CC-BY-4.0, and the raw data is stored on the OpenNeuro/NEMAR platform, accessible via the EEGDash tool or the braindecode library.