EEGDash/nm000195

该数据集是一个用于视觉矩阵拼写器（ERP）的LLP和EM混合数据集，主要包含EEG（脑电图）数据，用于研究视觉注意力。数据集包含12名健康受试者的360次记录，采样率为1000Hz，总时长为15.3小时，磁盘大小为4.8GB。数据集的许可证为CC-BY-4.0，可以从OpenNeuro/NEMAR获取原始数据，也可以通过EEGDash工具流式传输。数据集的任务类别为other，标签包括eeg、neuroscience、eegdash、brain-computer-interface、pytorch、visual和attention。

This dataset is a mixture of LLP and EM for a visual matrix speller (ERP) dataset, primarily containing EEG (electroencephalogram) data for studying visual attention. The dataset includes 360 recordings from 12 healthy subjects, with a sampling rate of 1000Hz, totaling 15.3 hours, and a disk size of 4.8GB. The dataset is licensed under CC-BY-4.0, and the raw data can be obtained from OpenNeuro/NEMAR or streamed via the EEGDash tool. The task category is other, and the tags include eeg, neuroscience, eegdash, brain-computer-interface, pytorch, visual, and attention.