EEGDash/nm000270

liu2025 - NEMAR数据集是一个用于神经科学和脑机接口研究的EEG（脑电图）数据集。该数据集包含27名受试者的797次记录，采样率为1000Hz，总时长为9小时。数据集的实验模态和人群信息未知，但范式类型为Motor。数据集的原始数据存储在OpenNeuro / NEMAR，可以通过EEGDash工具流式传输并返回PyTorch / braindecode数据集。数据集还包含64个通道，任务数量为3个。The liu2025 - NEMAR Dataset is an EEG (electroencephalogram) dataset for neuroscience and brain-computer interface research. It includes 797 recordings from 27 subjects, with a sampling rate of 1000Hz and a total duration of 9 hours. The experimental modality and population of the dataset are unknown, but the paradigm type is Motor. The raw data is stored at OpenNeuro / NEMAR and can be streamed via EEGDash to return a PyTorch / braindecode dataset. The dataset also features 64 channels and 3 tasks.