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EEG dataset for automated classification of depression
EEG dataset used for automated classification of depression -
EEG dataset for depression treatment outcome prediction
EEG dataset used for predicting depression treatment outcome -
EEG dataset for depression detection
EEG dataset used for detecting depression -
EEG dataset for individual finger movement classification
EEG dataset for individual finger movement classification -
San Diego database
The dataset contains EEG data recorded from 10 healthy subjects. -
Tsinghua dataset
The dataset contains EEG data recorded from 35 healthy subjects. -
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 -
Study of cognitive component of auditory attention to natural speech events
The dataset used in the study of cognitive component of auditory attention to natural speech events. -
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. -
Neonatal EEG graded for severity of background abnormalities in hypoxic-ischa...
Neonatal EEG graded for severity of background abnormalities in hypoxic-ischaemic encephalopathy. -
EEG-based decision tool for neonatal therapeutic hypothermia in hypoxic-ische...
EEG recordings from one hundred full-term babies with HIE were included in the study. Each EEG recording was graded by pediatric neurologists for HIE severity. -
Frequency scaling of brain signals
The dataset contains frequency scaling measurements from intracellular recordings, local-field potentials, EEG and MEG signals -
BCI competition IV-2b
BCI competition IV-2b contains raw EEG signals of nine subjects in three channels with 250Hz sampling rate for two classes i.e., imaging movement of left hand and right hand. -
BCI competition IV-2a
BCI competition IV-2a contains raw EEG signals of nine subjects in twenty-two channels with 250Hz sampling rate for four classes i.e., imaging movement of left hand, right hand,... -
Feedback Error Related Negativity
EEG dataset for Error Detection