on005571
Expectation of Conflict Stimuli
ANAT EEG FMAP FUNC Zarr
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- Citations
- 8
- Size
- 63.3 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
Discover datasets
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- on004295
Reward gain and punishment avoidance reversal learning
EEG ZarrEEG recordings from participants performing two reversal learning tasks that differ in reinforcer type: monetary reward versus avoidance of an aversive loud white noise burst. In the reward task, positive feedback meant a gain of 10 cents and negative feedback meant no gain. In the punishment task, positive feedback meant the noise burst was successfully avoided and negative feedback meant the noise was delivered. Noise intensity was titrated per participant to match the motivational value of the 10 cent reward.
- Participants
- 26
- Channels
- 66 (10-10)
- Citations
- 10
- Size
- 31.5 GB
- Version
- v1.0.0
- Updated
- Jun 23, 2026
- on007870
Appleseed Audiobook MEG
MEG Zarr…audio, gammatone feature pickles, and Praat TextGrid annotations - Derivatives: Freesurfer outputs, MNE…
- Participants
- 13
- Citations
- 80
- Size
- 41.6 GB
- Version
- v1.0.0
- Updated
- Sep 8, 2026
- nm000339
Stieger et al. 2021 — Continuous sensorimotor rhythm based brain computer interface learning in a large population
EEG ZarrA large, longitudinal EEG dataset collected while 62 healthy adults learned to control a sensorimotor rhythm-based brain-computer interface. Participants completed 7-11 online training sessions of continuous cursor control using motor imagery of the left hand, right hand, both hands, and rest. In total the dataset comprises 598 sessions and over 250,000 trials, offering a resource for designing and evaluating BCI algorithms and for studying BCI learning.
- Participants
- 62
- Channels
- 60 (10-10)
- Citations
- 63
- HED
- v8.4.0
- Size
- 722 GB
- Version
- v1.0.4
- Updated
- Aug 18, 2026
- on006923
Dataset of Electroencephalograms of Juvenile Offenders
EEG Zarr…Demographic and group assignment data - `participants.tsv`: Demographic and group assignment data…
- Participants
- 140
- Channels
- 128 (other)
- Size
- 8.13 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
- on006253
MetaRDK
iEEG…The data are segmented, and each segment contain high-gamma activity from…
- Participants
- 21
- Citations
- 4
- Size
- 15.8 GB
- Version
- v1.0.0
- Updated
- Jun 28, 2026
- on005398
Open iEEG Dataset (Pediatric iEEG, Wayne State University and UCLA)
iEEG Zarr…The channel name and valuables, such as the anatomical label and the…
- Participants
- 185
- Citations
- 17
- Size
- 165 GB
- Version
- v1.0.0
- Updated
- Jun 26, 2026
- nm000124
Han2024 – SSVEP fatigue dataset with two frequency paradigms
EEG ZarrThis dataset contains 64-channel EEG recordings from 24 healthy participants performing two SSVEP-based brain-computer interface tasks, a low-frequency paradigm (8.0-15.5 Hz) and a high-frequency paradigm (25.5-33.0 Hz). Each paradigm has 16 targets encoded with joint frequency-phase modulation. Training and fatigue blocks were recorded to study how fatigue affects SSVEP-BCI performance and to evaluate dynamic stopping strategies.
- Participants
- 24
- Channels
- 64 (10-10)
- Citations
- 5
- HED
- v8.4.0
- Size
- 33.1 GB
- Version
- v1.0.3
- Updated
- Oct 8, 2026
- nm000221
Alphawaves dataset
EEG ZarrResting-state EEG recordings from 19 healthy participants who alternated between eyes-closed and eyes-open conditions in 10-second trials. Data were acquired with a 16-channel g.tec g.USBamp system at 512 Hz to study posterior alpha-band (8-12 Hz) modulation. The dataset is distributed in BIDS format via MOABB and originates from the GIPSA-lab Alpha Waves dataset.
- Participants
- 19
- Channels
- 16 (10-10)
- HED
- v8.4.0
- Size
- 178 MB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000123
Kalunga2016 – SSVEP Exo dataset
EEG ZarrEEG recordings from 12 healthy participants performing a steady-state visually evoked potential (SSVEP) task in an assistive robotics setting. Participants seated in an electric wheelchair focused on LEDs flickering at 13, 17 or 21 Hz, or on a fixation point for a reject (rest) class. Eight channels were recorded at 256 Hz. The data support online, asynchronous SSVEP-based brain-computer interface research using Riemannian geometry.
- Participants
- 12
- Channels
- 8 (10-10)
- Citations
- 76
- HED
- v8.4.0
- Size
- 160 MB
- Version
- v1.0.3
- Updated
- Oct 8, 2026