CHB-MIT
…The recordings contain 198 annotated seizures and were originally collected to characterize…
- Participants
- 24
- Channels
- 23 (other)
- Citations
- 48
- Size
- 42.6 GB
- Version
- v1.0.1
- Updated
- Mar 11, 2026
…The recordings contain 198 annotated seizures and were originally collected to characterize…
A mobile EEG motor imagery dataset from two pilots, one tetraplegic and one able-bodied, recorded during development of the neuroTUM brain-computer interface for the 2024 Cybathlon BCI race. Data were acquired with a 24-channel wireless Smarting mobi system at 250 Hz using an arrow-cue paradigm with subject-specific sets of three mental tasks (rest, hand and/or foot motor imagery). The dataset is re-released in BIDS format with HED annotations via MOABB.
…Resting-state recording: 5 minutes of central-fixation on a plus sign…
A mobile EEG dataset of auditory attention from 20 participants performing a two-competing-speaker paradigm. Participants either sat on a chair or walked an indoor route while attending to one of two speakers. Salient environmental events presented from in front of the participant were used to disrupt attention, allowing neural tracking of speech to be studied in realistic, mobile conditions.
…The bipolar recordings are referenced according to a paired scheme indicated by…
This dataset provides simultaneous EEG and fNIRS recordings from 12 participants performing a silent naming task and three sensory-based imagery tasks (visual, auditory, tactile) on objects from the semantic categories of animals and tools. It supports research on semantic decoding and brain-computer interfacing. Stimulus images and example Python scripts for loading the data with MNE and MNE-BIDS are included.
…This dual-recording approach provides a rich resource for evaluating the performance…
…3. **MEG Recording**: Comprehensive MEG neural recordings from 23 participants, who viewed…
EEG, galvanic skin response (GSR) and electrocardiogram (ECG) recordings from healthy adult volunteers listening to 40-s synthetic music clips designed to target specific affective states defined by valence and arousal. The data were collected to calibrate an affective brain-computer music interface that induces target emotional states through real-time modification of generated music. Each session comprised 5 runs of 18 music trials, and self-reported valence and arousal ratings are included. This is the calibration dataset of three related datasets from the BCMI-MIdAS project.
…The bipolar recordings are referenced according to a paired scheme indicated by…