on003805
Multisensory Gamma Entrainment
EEG
…Recently, gamma entrainment based on individual (auditory or visual) sensory stimulation as…
- Participants
- 1
- Channels
- 19 (10-20)
- Size
- 17.0 MB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
Discover datasets
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- on004819
Flexible, Scalable, High Channel Count Stereo-Electrode for Recording in the Human Brain
iEEG Zarr…The data set involves the use of direct electrical stimulation to examine…
- Participants
- 1
- Citations
- 3
- Size
- 1.36 GB
- Version
- v1.0.0
- Updated
- Jun 25, 2026
- on002723
A dataset recorded during development of an affective brain-computer music interface: testing session
EEGEEG recordings from 8 healthy adults using a real-time, online affective music brain-computer interface. The system identified each listener's emotional state and modified synthetically generated 60 s music clips on the fly to induce target affective states defined by valence and arousal. The dataset includes self-reported valence and arousal and is one of three connected datasets from the BCMI-MIdAS project.
- Participants
- 8
- Channels
- 32 (10-10)
- Size
- 2.60 GB
- Version
- v1.0.0
- Updated
- Jun 21, 2026
- on004368
Meta-rdk: Preprocessed EEG data
EEG Zarr fidelity issuePreprocessed EEG recordings from 20 individuals with a schizophrenia spectrum disorder and 22 healthy control participants performing a visual motion discrimination task with confidence reporting. Motion coherence was adjusted per individual with a staircase procedure to equate performance between groups, allowing study of perceptual decision-making and metacognition in schizophrenia.
- Participants
- 39
- Channels
- 63 (10-10)
- Size
- 997 MB
- Version
- v1.0.0
- Updated
- May 13, 2026
- on004840
Dataset of electrophysiological signals (EEG, ECG, EMG) during Music therapy with adult burn patients in the Intensive Care Unit.
EEG ZarrThis dataset contains electrophysiological recordings (EEG, ECG, and facial EMG) from nine adult burn patients in an intensive care unit who received music therapy. It is part of a single-site randomized clinical trial. Each patient was recorded during two Music-Assisted Relaxation sessions, each with pre-intervention, intervention, and post-intervention phases. Pain (VAS) and anxiety-depression (HADS) measures were also collected to relate to the physiological signals.
- Participants
- 9
- Channels
- 8
- Size
- 1.75 GB
- Version
- v1.0.0
- Updated
- Jun 25, 2026
- nm000158
Liu, Lv et al. 2023 — EEG datasets of stroke patients (motor imagery)
EEG Zarr…pre-processed data after removing artefacts and other manipulations, and 4) patient…
- Participants
- 50
- Channels
- 29 (10-10)
- Citations
- 88
- HED
- v8.4.0
- Size
- 1.15 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on005034
The effect of theta tACS on working memory
EEG Zarr…20-minute verum or sham stimulation applied to Fpz-CPz at 1…
- Participants
- 25
- Channels
- 129 (egi-geodesic)
- Citations
- 3
- Size
- 61.4 GB
- Version
- v1.0.0
- Updated
- Jun 26, 2026
- nm000358
AJILE12: long-term naturalistic ECoG with wrist-movement events and behaviour labels (DANDI 000055)
iEEGAJILE12 is a long-term naturalistic intracranial dataset of electrocorticography (ECoG) recorded opportunistically from 12 epilepsy patients during clinical monitoring at Harborview Medical Center. Recordings cover 55 full monitoring days (days 3-7 after implantation) with simultaneous video, from which upper-body pose, validated wrist-movement initiation events and coarse behavioural state labels were derived. This iEEG-BIDS representation converts the original NWB release from DANDI without altering signal values.
- Participants
- 12
- Size
- 1.61 TB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- nm000275
Multi-channel EEG recordings during a sustained-attention driving task
EEG Zarr…filter and removed ocular/muscular artefacts (manual eye-blink rejection + the EEGLAB…
- Participants
- 27
- Channels
- 32 (10-10)
- Citations
- 70
- HED
- v8.2.0
- Size
- 36.4 GB
- Version
- v1.0.0
- Updated
- Jul 2, 2026
- on002720
A dataset recorded during development of a tempo-based brain-computer music interface
EEGEEG recordings from 19 healthy participants using a music-based brain-computer interface that lets users dynamically modulate music tempo through intentional control. Participants kinaesthetically imagined squeezing a ball with the right hand to increase tempo, or relaxed to decrease it. The paradigm comprised 9 runs, beginning with a calibration run of 30 trials in pairs of increase and decrease tempo trials.
- Participants
- 18
- Channels
- 19 (10-20)
- Size
- 2.39 GB
- Version
- v1.0.0
- Updated
- Jun 21, 2026