on005261
Gloups_MEG
MEG Zarr
…The same participants performed an identical learning task during fMRI scanning. Related…
- Participants
- 17
- Size
- 225 GB
- Version
- v1.0.0
- Updated
- May 18, 2026
Discover datasets
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- on007162
Adaptive recruitment of cortex-wide recurrence for visual object recognition (EEG)
EEG ZarrThis dataset contains EEG recordings from 34 participants (one session each) who viewed 242 object images, 121 challenge and 121 control images, selected from comparisons between human behavioural performance and AlexNet. The study examines adaptive recruitment of cortex-wide recurrent processing during visual object recognition. The derivatives folder contains outputs of the decoding analyses, including time-resolved decoding accuracy matrices for object identity (.npz).
- Participants
- 34
- Channels
- 63 (10-10)
- Citations
- 2
- Size
- 61.2 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026
- on007964
Disentangling objects' contextual associations from perceptual and conceptual attributes using time-resolved neural decoding
EEG ZarrRaw 128-channel EEG data from 20 observers viewing object images in a rapid presentation paradigm, together with representational dissimilarity matrices. The dataset supports time-resolved neural decoding analyses that separate objects' contextual associations from their perceptual and conceptual attributes. One participant was excluded because of a technical recording error, leaving 19 usable participants.
- Participants
- 19
- Citations
- 2
- Size
- 18.9 GB
- Version
- v1.0.0
- Updated
- Jun 17, 2026
- nm000224
Imagined speech EEG dataset — short and long words (Nguyen et al. 2017)
EEG ZarrPreprocessed 64-channel EEG recordings from six healthy participants performing imagined speech of a short word ('in') versus a long word ('cooperate'). The data were band-pass and notch filtered and cleaned of EOG artifacts. They were used to classify imagined speech with Riemannian manifold covariance features and relevance vector machines for brain-computer interface applications. The dataset is re-hosted in BIDS format through the MOABB benchmark collection.
- Participants
- 6
- Channels
- 60 (10-10)
- Citations
- 99
- HED
- v8.4.0
- Size
- 1.15 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on004315
Mood Manipulation and PST, Experiment 1
EEG Zarr…10.82901/nemar.on004315) Reinforcement learning task with 50 healthy controls (25…
- Participants
- 50
- Channels
- 66 (10-10)
- Citations
- 1
- Size
- 9.81 GB
- Version
- v1.0.0
- Updated
- Jun 24, 2026
- on004024
TMS-EEG-MRI-fMRI-DWI data on paired associative stimulation and connectivity (Shirley Ryan AbilityLab, Chicago, IL)
ANAT DWI EEG FUNC ZarrMultimodal dataset from a bi-focal, MRI-navigated TMS-EEG study of cortico-cortical paired associative stimulation (ccPAS) targeting left and right primary motor cortex (M1). Pulses were delivered with inter-hemispheric asynchronies of 4, 9, or 14 ms. Single-pulse TMS-EEG and resting-state EEG were recorded before and at 10 and 60 minutes after ccPAS to assess modulation of effective connectivity. Structural T1w MRI is provided for all subjects, with resting-state fMRI and HARDI diffusion imaging for some. Additional sessions stimulated left M1 or DLPFC at various intensities.
- Participants
- 13
- Channels
- 64 (10-10)
- Citations
- 3
- Size
- 1021 GB
- Version
- v1.0.0
- Updated
- Jun 23, 2026
- on003922
Multisensory Correlation Detector
ANAT MEG ZarrMagnetoencephalography (MEG) recordings from 13 participants who viewed and heard audiovisual sequences while performing causality judgment and temporal order judgment tasks. The same six audiovisual sequences were used in both tasks, which allowed endogenous task demands to be manipulated while sensory input stayed constant. Auditory-only and visual-only localizer blocks are also included, along with anatomical MRI, EOG, ECG and empty-room recordings. The dataset supports research on multisensory correlation computations in the human brain.
- Participants
- 14
- Citations
- 28
- Size
- 75.7 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
- nm000172
High-gamma dataset described in Schirrmeister et al. 2017
EEG Zarr…electroencephalography, EEG analysis, machine learning, end-to-end learning, brain-machine interface…
- Participants
- 14
- Channels
- 128 (10-05)
- Citations
- 78
- HED
- v8.4.0
- Size
- 31.3 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000152
Upper-limb elbow-centered motor imagery dataset (10 classes)
EEG ZarrEEG recordings from 12 healthy, BCI-naive participants performing kinesthetic motor imagery of upper-limb, elbow-centered tasks. The paradigm has 10 classes: rest, elbow flexion, and eight goal-directed daily-living tasks such as drawer opening, soup eating, weight lifting and combing. Data were recorded with a 17-channel EGI system at 1000 Hz. The dataset supports research on the versatility of EEG models for motor-imagery BCI control and rehabilitation.
- Participants
- 12
- Channels
- 17 (other)
- Citations
- 12
- HED
- v8.4.0
- Size
- 4.18 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on003753
EEG: Probabilistic Learning with Affective Feedback: Exp #2
EEG Zarr[
- Size
- 4.62 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026