…This data is organized according to the Brain Imaging Data Structure specification…
…This data is organized according to the Brain Imaging Data Structure specification…
A 64-channel EEG dataset from 12 healthy participants using a broad-band visually evoked potential (BBVEP) brain-computer interface with modulated Gold codes. Participants operated a 6x6 matrix speller in an online copy-spelling task, with each cell flashing according to pseudo-random bit-sequences. The dataset supports research on code-modulated VEP (c-VEP) BCIs and reconvolution-based template prediction. It is a preprocessed derivative distributed via MOABB.
A multimodal EEG dataset of motor imagery (MI) recorded from 31 healthy participants over up to three sessions each. Participants imagined left- and right-hand grasping in response to visual cues while 64-channel EEG plus EOG were recorded at 1000 Hz. This is a MOABB-derived version of the Eye-BCI dataset, which also includes eye-tracking and high-speed video for ocular activity analysis across BCI paradigms.
…isn't in the dataset (for example: device serial number, institution name…
…https://osf.io/thsqg/ Examples of EEGLAB/ERPLAB data processing scripts that…
A BIDS-formatted EEG dataset of two-class hand-grasping motor tasks (left vs. right hand) from 31 healthy participants, recorded with a 64-channel Neuroscan system at 1000 Hz across up to three sessions of 40 trials each. It is a derivative of the multi-paradigm Eye-BCI dataset, which combines EEG, eye-tracking and high-speed video for ocular activity analysis. It is provided through MOABB for benchmarking motor-related brain-computer interface decoding.
…standard/hed-examples/tree/main/hedcode/jupyter_notebooks/dataset_specific_processing/attention…
A large EEG database from 87 healthy participants recorded during a single-day motor imagery brain-computer interface (BCI) experiment. The data are organized into three datasets (A, B, C) that share one Graz-protocol task, left- versus right-hand motor imagery, with 240 trials per participant (over 20,800 trials in total). It also provides demographic, personality and cognitive-trait information, which supports studies of how user profiles relate to BCI performance and cross-user classification algorithms.
…is not in the dataset (for example: manufacturer model name and serial…