EEGDash/nm000232
收藏Hugging Face2026-04-21 更新2026-04-26 收录
下载链接：
https://hf-mirror.com/datasets/EEGDash/nm000232
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资源简介：
THINGS-EEG2是一个大型且丰富的EEG数据集，用于建模人类视觉对象识别。该数据集包含10名受试者的638次记录，总时长为87.3小时，磁盘大小为203.9 GB。数据记录类型为EEG，包含63个通道，采样率为1000 Hz。数据集来源为NEMAR，许可证为CC-BY 4.0。数据集可通过EEGDash或braindecode的Zarr布局加载。
THINGS-EEG2: A large and rich EEG dataset for modeling human visual object recognition. The dataset includes 638 recordings from 10 subjects, totaling 87.3 hours in duration and 203.9 GB on disk. The recording type is EEG, with 63 channels and a sampling rate of 1000 Hz. The dataset is sourced from NEMAR and licensed under CC-BY 4.0. It can be loaded via EEGDash or braindecodes Zarr layout.
提供机构：
EEGDash
