on007663
CrossModal Study
MEG Zarr
[
- Citations
- 162
- HED
- v8.4.0
- Size
- 17.5 GB
- Version
- v1.1.1
- Updated
- Apr 4, 2026
- on003825
Human electroencephalography recordings from 50 subjects for 22,248 images from 1,854 object concepts
EEG ZarrElectroencephalography recordings from 50 participants viewing 22,248 images spanning 1,854 object concepts from the THINGS database. Images were shown in rapid serial visual presentation streams at 10 Hz while participants performed an orthogonal fixation colour change detection task. The dataset supports research on the temporal dynamics of object recognition and visual representation in the human brain.
- Participants
- 50
- Channels
- 63
- Citations
- 3
- Size
- 55.3 GB
- Version
- v1.0.0
- Updated
- Mar 14, 2026
- on004279
Large Spanish EEG
EEG…Identification of perceived sentences using deep neural networks in EEG. Journal of…
- Participants
- 56
- Channels
- 64 (10-10)
- Citations
- 2
- Size
- 25.2 GB
- Version
- v1.0.0
- Updated
- Jun 23, 2026
- on006033
Synchronous EEG and fMRI dataset on inner speech
ANAT EEG FUNC ZarrThis dataset contains simultaneous EEG and fMRI recordings from participants performing an inner speech task, in which eight words were presented in random order and repeated across trials. Data were acquired with a 3T MRI scanner and a 64-channel BrainProducts EEG system in three subjects across two sessions each. EEG data include pulse artifact removal and are organized in BIDS format.
- Participants
- 3
- Channels
- 64
- Size
- 15.3 GB
- Version
- v1.0.0
- Updated
- Jun 28, 2026
- on003801
Neural Tracking to go
EEG Zarr[
- Size
- 1.15 GB
- Version
- v1.0.0
- Updated
- May 13, 2026
- on002338
A multi-modal human neuroimaging dataset for data integration: simultaneous EEG and fMRI acquisition during a motor imagery neurofeedback task: XP2
ANAT EEG FUNC ZarrThis dataset contains simultaneous 64-channel EEG and fMRI recordings from 16 participants performing right-hand motor imagery with bimodal EEG-fMRI neurofeedback (experiment XP2). Participants were randomly assigned to receive either a mono-dimensional or a bi-dimensional feedback display. It includes raw and preprocessed EEG, BOLD fMRI, and EEG and BOLD neurofeedback scores, supporting multi-modal data integration research. It is designed to be combined with the companion XP1 dataset.
- Participants
- 17
- Size
- 25.9 GB
- Version
- v1.0.0
- Updated
- Jun 21, 2026
- on007353
HAD-MEEG
ANAT EEG MEG Zarr…spatially distributed and temporally evolving neural responses that encode visual information and…
- Participants
- 32
- Channels
- 62 (10-10)
- Size
- 221 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026
- nm000348
Yang et al. 2025 — A multi-day and high-quality EEG dataset for motor imagery brain-computer interface
EEG ZarrA multi-day EEG dataset for motor imagery brain-computer interface (MI-BCI) research collected at Shanghai University (WBCIC-SHU). It contains recordings from 51 healthy, BCI-naive participants who performed left- and right-hand motor imagery over three sessions on different days. A subset of 11 participants also performed a three-class paradigm that adds foot-hooking imagery. Recordings were made with a 59-channel EEG system and the dataset is accompanied by benchmark classification results using CSP, FBCSP, EEGNet, deepConvNet and FBCNet.
- Participants
- 51
- Channels
- 59 (10-10)
- Citations
- 44
- HED
- v8.4.0
- Size
- 154 GB
- Version
- v1.0.5
- Updated
- Aug 18, 2026
- on007591
Delineating neural contributions to EEG-based speech decoding
EEG Zarr…10.82901/nemar.on007591) # Delineating neural contributions to EEG-based speech decoding…
- Participants
- 3
- Channels
- 128 (other)
- Size
- 1.62 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026