on004738
sfb_meg_phantom (B04/C01)
MEG Zarr
…Kuhn A.A., Florin E. Deep brain stimulation device-specific artefacts in…
- Participants
- 4
- Size
- 6.13 GB
- Version
- v1.0.0
- Updated
- Jun 25, 2026
Discover datasets
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- on004998
Exploring the electrophysiology of Parkinson's disease - magnetoencephalography combined with deep brain recordings from the subthalamic nucleus.
MEG Zarr…Exploring the electrophysiology of Parkinson's disease with magnetoencephalography and deep brain…
- Participants
- 20
- Citations
- 12
- Size
- 162 GB
- Version
- v1.0.0
- Updated
- Jun 26, 2026
- on005574
The "Podcast" ECoG dataset
ANAT iEEG ZarrThe "Podcast" electrocorticography (ECoG) dataset captures intracranial neural activity from 9 participants (1,330 grid, depth, and strip electrodes) who listened to a 30-minute naturalistic story containing over 5,000 words. It includes raw recordings, a minimally preprocessed high-gamma version, the auditory stimuli, an aligned word-level transcript, and linguistic features ranging from acoustic properties to large language model embeddings. Tutorials replicating prior findings are provided to support research on natural language comprehension.
- Participants
- 9
- Size
- 14.4 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- on005398
Open iEEG Dataset (Pediatric iEEG, Wayne State University and UCLA)
iEEG Zarr…Refining epileptogenic high-frequency oscillations using deep learning: a reverse engineering approach…
- Participants
- 185
- Citations
- 17
- Size
- 165 GB
- Version
- v1.0.0
- Updated
- Jun 26, 2026
- nm000105
FRL Discrete Gestures: Hand Gesture Recognition from Surface Electromyography
EMG Zarr…1D convolution → LSTM layers **Learning effects**: Participants improve from practice to evaluation…
- Participants
- 100
- Size
- 20.6 GB
- Version
- v2.0.0
- Updated
- Feb 23, 2026
- nm000257
Imagined speech EEG dataset — short words condition (Nguyen et al. 2017)
EEG ZarrPreprocessed 64-channel EEG recordings from 6 healthy participants performing imagined speech of three short words (out, in, up), cued by auditory and visual stimuli. The dataset contains 1800 trials of a single session, analyzed in the source study with Riemannian manifold covariance features and relevance vector machines for brain-computer interface applications. It is re-hosted in BIDS format from the MOABB benchmark collection.
- Participants
- 6
- Channels
- 60 (10-10)
- Citations
- 99
- HED
- v8.4.0
- Size
- 1.90 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- nm000210
BCIAUT-P300 dataset for autism from Simoes et al 2020
EEG Zarr…temporal_features, deep_learning - **Frequency bands**: bandpass=[2.0, 30.0] Hz…
- Participants
- 15
- Channels
- 8 (10-10)
- Citations
- 67
- HED
- v8.4.0
- Size
- 9.33 GB
- Version
- v1.0.3
- Updated
- Oct 8, 2026
- nm000230
Lower-limb MI dataset for knee pain patients from Zuo et al. 2025
EEG Zarr…CSP, FBCSP, deep_learning, Riemannian_geometry - **Frequency bands**: alpha_mu=[8.0…
- Participants
- 30
- Channels
- 30 (10-10)
- Citations
- 3
- HED
- v8.4.0
- Size
- 19.4 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- nm000242
Visual imagery EEG dataset from Gao et al 2026
EEG Zarr…CSP, deep_learning - **Frequency bands**: bandpass=[5.0, 30.0] Hz - **Spatial…
- Participants
- 22
- Channels
- 32 (10-10)
- Citations
- 3
- HED
- v8.4.0
- Size
- 75.4 GB
- Version
- v1.0.3
- Updated
- Aug 20, 2026
- on006437
LIGHT Hypnotherapy
EEG Zarr…a hypnotherapist integrates storytelling and deep visualizations techniques to encourage personal and…
- Participants
- 9
- Channels
- 64 (10-10)
- Size
- 4.31 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026