nm000232
THINGS-EEG2: A large and rich EEG dataset for modeling human visual object recognition
BEH EEG
- Size
- 159 GB
- Updated
- May 16, 2026
Discover datasets
88 results for "cortical networks" · page 9 of 9 · ranked by relevance
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- ds005448
STReEF
iEEG- Participants
- 13
- on004011
The nature of neural object representations during dynamic occlusion
BEH MEGThis magnetoencephalography (MEG) dataset investigates neural object representations during dynamic visual occlusion. Participants viewed objects that were either occluded or disappeared while their neural activity and eye movements were recorded. The dataset includes raw MEG data, behavioral responses, eye-tracking recordings, and preprocessed neural signals epoched relative to stimulus onset and position changes, enabling investigation of how the brain maintains object representations under conditions of visual disruption.
- Size
- 258 GB
- Updated
- Jun 18, 2026
- on005509
Healthy Brain Network (HBN) EEG - Release 5
EEGImported from OpenNeuro ds005509
- Size
- 224 GB
- Updated
- May 25, 2026
- ds005648
Mapping object space dimensions: new insights from temporal dynamics
EEG- Participants
- 1
- on004368
Meta-rdk: Preprocessed EEG data
EEGImported from OpenNeuro ds004368
- Size
- 969 MB
- Updated
- May 23, 2026
- nm000340
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study J)
EEGBigP3BCI Study J is a P300-based brain-computer interface dataset comprising EEG recordings from 20 healthy subjects performing a 9x8 character grid speller task. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset with ~267 subjects across 20 studies. The data were acquired at 256 Hz using 16-channel EEG with a standard 10-20 montage and are organized in BIDS format with HED event annotations for standardized analysis and machine learning applications.
- Size
- 426 MB
- Updated
- Jun 3, 2026
- on003688
Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film
ANAT FUNC iEEGThis open multimodal dataset combines intracranial electroencephalography (iEEG) and functional magnetic resonance imaging (fMRI) recordings from patients during naturalistic audiovisual film stimulation. The dataset includes simultaneous electrocorticography and fMRI data collected during a short film presentation, providing a unique resource for investigating neural responses to complex naturalistic stimuli across multiple recording modalities and spatial scales.
- Citations
- 6
- Size
- 15.3 GB
- Updated
- Jun 22, 2026