EEGDash/nm000179

LEMON数据集是MPI莱比锡心智-大脑-身体项目的静息状态脑电图（EEG）数据集，包含215名受试者的215条EEG记录。每条记录包含62个通道，采样率分别为2500Hz（208条）、1000Hz（6条）和500Hz（1条），总时长为62.4小时，磁盘占用空间为126.9GB。数据集主要用于神经科学、脑机接口和深度学习研究，采用CC BY 4.0许可证发布。原始数据存储在OpenNeuro/NEMAR平台，可以通过EEGDash工具以PyTorch/braindecode格式加载。

The LEMON dataset is a resting-state EEG dataset from the MPI Leipzig Mind-Brain-Body project, containing 215 EEG recordings from 215 subjects. Each recording has 62 channels with sampling rates of 2500Hz (208 recordings), 1000Hz (6 recordings), and 500Hz (1 recording), totaling 62.4 hours of data and 126.9 GB on disk. The dataset is primarily used for neuroscience, brain-computer interface, and deep learning research, released under the CC BY 4.0 license. The raw data is stored on the OpenNeuro/NEMAR platform and can be loaded in PyTorch/braindecode format using the EEGDash tool.