on006593
cBCI Matrix Multimodal Dataset
EEG Zarr
…EEG data were collected using the DSI-24, dry electrode cap (Wearable…
- Participants
- 21
- Channels
- 19 (10-20)
- Size
- 616 MB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
Discover datasets
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- nm000266
Sosulski et al. 2019 — Online Optimization of Stimulation Speed in an Auditory Brain-Computer Interface under Time Constraints
EEG ZarrEEG recordings from 13 healthy participants performing an auditory oddball (P300) paradigm with target (1000 Hz) and non-target (500 Hz) tones at stimulus onset asynchronies between 60 and 600 ms. The study evaluated closed-loop Bayesian optimization and random search to find each individual's best stimulation speed for maximizing classification performance of a regularized LDA. The data comprise 31-channel EEG sampled at 1000 Hz, with an optimization part and a validation part.
- Participants
- 13
- Channels
- 31 (10-10)
- Citations
- 2
- HED
- v8.4.0
- Size
- 3.68 GB
- Version
- v1.0.7
- Updated
- Oct 9, 2026
- on007222
Visual Occlusions with Treadmill Walking Speeds EEG
EEG Zarr…They also wore loadsol insole sensors that recorded gait events and an…
- Participants
- 15
- Channels
- 120 (other)
- Size
- 3.31 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026
- nm000343
Hinss et al. 2021 — Open multi-session and multi-task EEG cognitive Dataset for passive brain-computer Interface Applications
EEG ZarrA multi-session, multi-task EEG dataset for passive brain-computer interface research, collected from 15 healthy participants across two sessions. Recordings include resting state and three difficulty levels (easy, medium, difficult) of the MATB-II multitasking environment, recorded with 62 active electrodes at 500 Hz. The dataset supports cross-session and cross-subject mental workload estimation and neuroergonomics applications.
- Participants
- 15
- Channels
- 61 (10-10)
- Citations
- 73
- HED
- v8.4.0
- Size
- 4.04 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on006866
Discrepancy between self-report and neurophysiological markers of socio-affective responses in lonely individuals
EEG Zarr…O1, OZ, O2, CB2 ### Additional Sensors * HEO (Horizontal EOG) * VEO (Vertical EOG…
- Participants
- 148
- Channels
- 69 (10-10)
- Size
- 118 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
- nm000204
Bluetooth speaker experiment (14 subjects, 6 classes, 31 EEG ch)
EEG ZarrEEG recordings from 14 healthy participants performing a visual P300 oddball BCI task for controlling a Bluetooth speaker, one of several home appliances in the original study. The task used a 6-class flash-stimulus paradigm on an LCD display. Data were recorded from 31 channels at 500 Hz, with 50 training and 30 testing blocks per subject. The dataset supports research on ERP-based BCIs for home appliance control and inter-subject transfer learning.
- Participants
- 14
- Channels
- 31 (10-10)
- Citations
- 9
- HED
- v8.4.0
- Size
- 644 MB
- Version
- v1.0.4
- Updated
- Oct 8, 2026
- on000247
MEG-BIDS OMEGA RestingState_sample
ANAT MEG Zarr…297), include: * 26 MEG reference sensors (#2-#27) * 270 MEG axial gradiometers…
- Participants
- 6
- Size
- 10.5 GB
- Version
- v1.0.0
- Updated
- Jun 20, 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
- on005346
Naturalistic fMRI and MEG recordings during viewing of a reality TV show
ANAT FUNC MEG Zarr…The system consists of 64 single-axis OPM sensors (radial direction, fixed…
- Participants
- 60
- Citations
- 4
- Size
- 112 GB
- Version
- v1.0.0
- Updated
- Jun 26, 2026
- nm000201
ERP paradigm of the Mobile BCI dataset
EEG ZarrEEG recordings from 24 healthy participants performing a visual oddball (P300) event-related potential paradigm during mobile conditions: standing, walking, and running. Data were acquired with scalp and ear-EEG systems (73 channels, plus EOG) across five sessions per participant. This is a BIDS-formatted derivative of the Mobile BCI dataset, intended for benchmarking brain-computer interface decoding under locomotion.
- Participants
- 24
- Channels
- 48 (10-10)
- Citations
- 36
- HED
- v8.4.0
- Size
- 8.08 GB
- Version
- v1.0.3
- Updated
- Oct 8, 2026