EEGDash/nm000200

BigP3BCI研究I — 9x8棋盘格/基于性能（13名健康受试者）数据集是一个EEG（脑电图）数据集，用于研究视觉注意力任务。数据集包含13名健康受试者的265次记录，每次记录有16个通道，采样率为256Hz，总时长为7.4小时。数据集的实验范式为注意力任务，实验模态为视觉，数据来源为NEMAR，许可证为CC-BY-4.0。数据集可以通过EEGDash工具加载，支持PyTorch和braindecode框架。

The BigP3BCI Study I — 9x8 checkerboard/performance-based (13 healthy subjects) dataset is an EEG (electroencephalography) dataset focused on visual attention tasks. It includes 265 recordings from 13 healthy subjects, each with 16 channels and a sampling rate of 256Hz, totaling 7.4 hours of data. The experimental paradigm is attention-based, with a visual modality. The data is sourced from NEMAR and is licensed under CC-BY-4.0. The dataset can be loaded using the EEGDash tool, which supports PyTorch and braindecode frameworks.