…Additionally, the database includes detailed information on participants’ language history, lifetime experiences…
This dataset contains behavioural and dual-EEG hyperscanning recordings from pairs of participants performing a musical joint action task. Pairs performed musical duets and constant pitch sequences on electronic music boxes and rated their sense of joint agency on each trial. The data support investigation of the cognitive and neural signals underlying joint agency, and include synchronization performance measures and event markers.
…EEG database for the cognitive assessment of motor imagery during walking with…
MEG dataset from a logical reasoning study collected by the Cognitive and Computational Neuroscience Laboratory (UPM - UCM). The dataset is organized in BIDS format and mirrored on NEMAR from the OpenNeuro deposit ds003483.
…an open-access multiclass electroencephalography database of inner speech commands that could…
This dataset contains 62-channel EEG recordings from 18 healthy, right-handed participants performing motor imagery of eight multi-joint movements of the unilateral upper limb. The movements involve the hand, wrist, elbow and shoulder. Each participant completed 320 cue-based trials across 8 blocks, with 40 trials per class. The data support research on brain-computer interfaces for motor rehabilitation.
…Registry for Epilepsy Surgery Patients) database, a dataset recorded at the University…
EEG recordings from 8 healthy participants performing cue-based motor imagery of the right hand, feet, and rest, with 20 trials per class. The data were collected for the PhD thesis of A. Barachant on robust control of an effector through an asynchronous EEG brain-machine interface, and correspond to Step B (cue-based imagery without feedback) of the Brain Switch campaign. They are intended for familiarization and algorithm development, including Riemannian geometry and CSP-based classification.
…https://doi.org/10.48550/arXiv.2506.20354 SWEC-ETHZ iEEG Database…
A clinical intracranial EEG (iEEG) dataset from 12 epilepsy surgery patients drawn from the RESPect (Registry for Epilepsy Surgery Patients) collection at the University Medical Center Utrecht. It includes six intraoperative ECoG recordings and six long-term recordings (three ECoG, three SEEG). The data are organized in BIDS, with session and run conventions that capture the surgical stage or the monitoring day and time, and the task labels describe the patient's state.