Omkar2118/datasets huggingface dataset:
EEG and P300 database to determine the signal to noise ratio during a variety of realistic tasks

This database contains EEG and evoked potential recordings from 20 participants. This allows to assess the signal to noise ratio:
- Signal: The P300 power and VEP power can be used to assess the signal power
- Noise: The signal power consisting of EMG and baseline EEG during the different tasks allows to determine the noise level

Introducing paper: Real-time noise cancellation with Deep Learning