EEGDash/nm000210

BCIAUT-P300数据集是一个用于自闭症研究的EEG数据集，来自Simoes等人2020年的研究。数据集包含15名受试者的210次EEG记录，主要用于视觉临床/干预研究，涉及发展阶段的人群。数据集的记录类型为EEG，实验模态为视觉，范式类型为临床/干预，采样率为250Hz，总持续时间为187.4小时，磁盘大小为3.8GB。数据集采用CC-BY-4.0许可证，可通过EEGDash库或直接从Hugging Face Hub加载。

The BCIAUT-P300 dataset is an EEG dataset for autism research from Simoes et al 2020. It includes 210 EEG recordings from 15 subjects, primarily used for visual clinical/intervention studies involving a developmental population. The dataset features EEG recordings with a visual experimental modality and a clinical/intervention paradigm type, sampled at 250Hz with a total duration of 187.4 hours and a disk size of 3.8GB. Licensed under CC-BY-4.0, it can be loaded via the EEGDash library or directly from the Hugging Face Hub.