The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 1
…In this folder, processed data is organized like how raw data is…
- Participants
- 27
- Size
- 881 MB
- Version
- v1.0.0
- Updated
- Jun 17, 2026
…In this folder, processed data is organized like how raw data is…
…The original data and license terms apply — see `dataset_description.json` for…
…Additional data collected: 6 types of non-task-related data (eye blinking…
…Each data record can consist of four data folders: beh - behavioral data…
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.
…BCI Competition 2008 - Graz data set B: Two-class motor imagery dataset…
…This study is called 'sleep1', and is the pilot study for 'sleep2…
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.
…this dataset starts at 12. Participants 1 to 11 were pilot participants…
…MOVING dataset [Data set]. Zenodo. DOI: https://doi.org/10.5281/zenodo…