on007523
LittlePrince_MEG_French_Listen_Pallier2025
ANAT MEG Zarr
…Anatomical MRI For each participant, a high-resolution T1-weighted anatomical MRI…
- Participants
- 58
- Citations
- 39
- Size
- 446 GB
- Version
- v1.0.0
- Updated
- Jun 14, 2026
Discover datasets
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- nm000306
Jia2019: Motor-imagery EEG dataset for stroke patients (Jia 2019)
EEGThis dataset contains 63-channel EEG recorded at 512 Hz from 15 stroke patients performing cue-based left-hand versus right-hand motor imagery, with 40 trials per class. For each patient one hand is paretic and the other unaffected, and both were imagined. It is a BIDS re-release of the original figshare deposit, prepared via MOABB with HED event annotations, and is intended for brain-computer interface and neurorehabilitation research.
- Participants
- 15
- Channels
- 63 (other)
- HED
- v8.4.0
- Size
- 1.74 GB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- on007524
LittlePrince_MEG_French_Read_Pallier2025
ANAT MEG Zarr…Anatomical MRI For each participant, a high-resolution T1-weighted anatomical MRI…
- Participants
- 50
- Citations
- 39
- Size
- 300 GB
- Version
- v1.0.0
- Updated
- Jun 14, 2026
- on005345
Le Petit Prince (LPP) Multi-talker: Naturalistic 7T fMRI and EEG Dataset
ANAT EEG FUNC Zarr…ms, TE = 22.2 ms) - Anatomical MRI: MP-RAGE sequence, T1-weighted…
- Participants
- 26
- Channels
- 64
- Size
- 405 GB
- Version
- v1.0.0
- Updated
- Jun 18, 2026
- on006720
Alpha power indexes working memory load for durations
ANAT MEG Zarr…Anatomical MRI recordings: To improve the spatial resolution of the source reconstruction…
- Participants
- 24
- Citations
- 1
- Size
- 136 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
- nm000308
NeuroTUMBCI2025: Motor imagery dataset from the neuroTUM 2024 Cybathlon BCI
EEGA mobile EEG motor imagery dataset from two pilots, one tetraplegic and one able-bodied, recorded during development of the neuroTUM brain-computer interface for the 2024 Cybathlon BCI race. Data were acquired with a 24-channel wireless Smarting mobi system at 250 Hz using an arrow-cue paradigm with subject-specific sets of three mental tasks (rest, hand and/or foot motor imagery). The dataset is re-released in BIDS format with HED annotations via MOABB.
- Participants
- 2
- Channels
- 24 (10-10)
- HED
- v8.4.0
- Size
- 408 MB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- on002814
A Multimodal Neuroimaging Dataset to Study Spatiotemporal Dynamics of Visual Processing in Humans
ANAT EEG FUNC Zarr[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on002814-blue…
- Participants
- 21
- Citations
- 7
- Size
- 48.6 GB
- Version
- v1.0.0
- Updated
- Jun 21, 2026
- on006502
Skill learning and consolidation in healthy humans
ANAT MEG Zarr…Participants completed an initial session in which anatomical MRI data was acquired…
- Participants
- 31
- Size
- 95.8 GB
- Version
- v1.0.0
- Updated
- Jun 29, 2026
- on005346
Naturalistic fMRI and MEG recordings during viewing of a reality TV show
ANAT FUNC MEG Zarr…Prisma MRI scanner at Shanghai International Studies University, Shanghai. Anatomical scans were…
- Participants
- 60
- Citations
- 4
- Size
- 112 GB
- Version
- v1.0.0
- Updated
- Jun 26, 2026
- nm000106
FRL Handwriting: Handwriting Decoding from Surface Electromyography
EMG ZarrNEMAR Dataset nm000106: handwriting - Handwriting movement detection from EMG
- Participants
- 100
- Size
- 45.3 GB
- Version
- v2.0.0
- Updated
- Feb 23, 2026