CCEP ECoG dataset across age 4-51
…The task key-value pair in long-term iEEG recordings describes the…
- Participants
- 74
- Citations
- 54
- Size
- 269 GB
- Version
- v1.0.0
- Updated
- Jun 23, 2026
…The task key-value pair in long-term iEEG recordings describes the…
This dataset contains EEG recordings from participants viewing stereoscopic scenes in a mixed reality environment, collected to characterize visual fatigue. Participants watched 2 resting scenes and 15 movement scenes, each followed by a rating scene. The data support both resting-state and task-state analyses.
…The original data and license terms apply — see `dataset_description.json` for…
…2024) ## Overview A longitudinal motor imagery EEG dataset from 18 BCI-naive…
…skill consolidation and longer-term skill retention. A longitudinal design was used…
This dataset contains simultaneous EEG-fMRI recordings, diffusion-weighted imaging, and behavioral data from 28 healthy adults performing a gradual-onset continuous performance task (gradCPT) that probes sustained attention. Resting-state (eyes open and closed), 15 Hz checkerboard, and imagery tasks are also included. Raw data and preprocessed derivatives are provided.
This dataset is Study H of the BigP3BCI collection, a P300-based brain-computer interface speller experiment. EEG was recorded from 16 healthy participants using a 9x8 checkerboard character grid under different gaze conditions. It is a MOABB-derived, BIDS-formatted version of the PhysioNet bigP3BCI release, with target and non-target stimulus events annotated using HED.
This dataset provides BIDS-EEG formatted raw recordings from 27 healthy adults performing a sustained-attention driving task in a virtual-reality driving simulator on a motion platform. It comprises 62 sessions (~82 hours) of 32-channel EEG at 500 Hz plus a vehicle lateral-position channel. Events mark randomly induced lane-departure onsets and the participants' steering responses, allowing study of reaction time as an index of fatigue and drowsiness.
…30) completed a Multiple Object Monitoring (MOM) task. Methodological details can be…
…nemar.on004348) Ear-EEG Sleep Monitoring 2017 (EESM17) data set **Overview** This…