A BIDS-standardized example dataset of simultaneously recorded EEG and eye-tracking data from a single subject, drawn from the EEGEyeNet resource. EEGEyeNet was designed as a dataset and benchmark for eye movement prediction from EEG. This version reformats the original Open Science Framework data to the BIDS standard.
EEG recordings from fifteen healthy participants who executed and imagined six sustained upper limb movements (elbow flexion/extension, forearm supination/pronation, hand open/close) plus a rest condition, in two separate sessions. The dataset supports decoding of single upper limb movements from the time-domain of low-frequency EEG. It is relevant to non-invasive control of motor neuroprostheses and robotic arms. This BIDS version was generated from the original BNCI Horizon 2020 data using MOABB.
…ICA:** *runica* algorithm 6. **Automatic component rejection:** **ADJUST** and **SASICA** 7. **Spherical…
…This experiment was approved by an independent ethics committee and authorized by…
A multimodal dataset of simultaneous 64-channel EEG, head-mounted eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) recordings from 23 healthy adults. Participants took part in a naturalistic smartphone use condition and a standardized video viewing condition. Hardware TTL pulses synchronize the EEG and eye-tracking streams for temporal alignment across modalities.
…On average, 15.8 ICA components were returned and 1.07 components…
A cross-session motor imagery EEG dataset from 14 healthy participants who performed cued left- versus right-hand motor imagery on two separate days. Data were recorded with 28 EEG channels at 250 Hz and comprise 60 trials per class per session. The dataset supports research on brain-computer interface decoding and cross-session variability, and it is distributed here in BIDS format with HED event annotations.
…013, "Restoring memory with task-independent semi-chronic closed-loop direct brain…
A 60-channel EEG dataset from 10 healthy, BCI-naive participants performing simple limb motor imagery (left hand, right hand, feet) and compound limb motor imagery (both hands, left hand with right foot, right hand with left foot), plus a rest condition. The recordings were used to examine EEG oscillatory patterns (ERD/ERS), cognitive processes, and effective connectivity during motor imagery. This is a preprocessed (bandpass filtered, downsampled to 200 Hz) BIDS version curated through MOABB.
…removed participants sub-exp223 and sub-exp230 from analysis due to poor…