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EEG data set
EEG data set used for training and testing the proposed method, containing 480/468 examples per class in the training set and 66/95 examples per class in the testing set. -
SWLDA dataset
The dataset used for the experiments on the SWLDA algorithm -
XDAWN dataset
The dataset used for the experiments on the XDAWN algorithm -
MDM dataset
The dataset used for the experiments on the MDM algorithm -
Brain Invaders dataset
The dataset used for the P300-based game Brain Invaders -
BCI datasets
The dataset used in this paper for brain-computer interface tasks -
EEG dataset for individual finger movement classification
EEG dataset for individual finger movement classification -
Simultaneous EEG-fMRI data
EEG and fMRI data collected from a single healthy adult performing an auditory oddball task -
EEG and fMRI data for simultaneous EEG-fMRI analysis
EEG and fMRI data collected from a single healthy adult performing an auditory oddball task -
EEG dataset for product semantics modification
A dataset of EEG signals recorded while subjects viewed product images, used to train a model to modify product semantics based on brain activity. -
EEG database for SCP training
The EEG database consists of SCP training of EEG recordings. The feature extraction step was performed using time-frequency-amplitude analysis by Hilbert-Huang Transform. -
EEG dataset for sustained attention level evaluation
The dataset used in this paper for sustained attention level evaluation using EEG. -
EEG data from epileptic patients
The dataset used in the paper is EEG data from epileptic patients, which is used to detect early warning indicators for abrupt dynamical transitions in complex systems or... -
Classification of Electroencephalograms during Mathematical Calculations Using...
The dataset consists of Before Calculation Signals (BCS) and During Calculation Signals (DCS). The dataset consisted of 36 participants. -
OpenBMI dataset
The OpenBMI dataset is a large benchmark containing 2 sessions of 2-class MI-EEG data (left hand, right hand) from 54 right-handed healthy subjects. -
EEG dataset for BCI classification
The dataset used in this paper is a collection of EEG signals recorded from 6 healthy males using dry electrodes. The dataset is used for training and testing a convolutional... -
Visual ERP dataset
The dataset used in this paper is a visual ERP dataset collected by Lee and colleagues, which is one of three datasets that were recorded to study BCI-inefficiency across three...