EEGDash/nm000336

Mainsah2025-R数据集是一个包含20名受试者的EEG（脑电图）数据集，主要用于研究视觉注意力和脑机接口。数据集包含480次记录，总时长为23.5小时，磁盘大小为2.0 GB。每次记录使用32个通道，采样率在不同记录中略有变化。数据集的任务类别为other，实验模态为Visual，范式类型为Attention，人群为Other。数据集来源为NEMAR，采用CC-BY-4.0许可证。

The Mainsah2025-R dataset is an EEG (electroencephalography) dataset containing data from 20 subjects, primarily used for studying visual attention and brain-computer interfaces. The dataset includes 480 recordings with a total duration of 23.5 hours and a disk size of 2.0 GB. Each recording uses 32 channels, with slight variations in sampling rate across different recordings. The task category is other, the experimental modality is Visual, the paradigm type is Attention, and the population is Other. The dataset is sourced from NEMAR and is licensed under CC-BY-4.0.