on005356
MEG: Major Depression & Probabilistic Learning Task
MEG Zarr
…the Reward Positivity during reinforcement learning. Participants were all SCID interviewed to…
- Participants
- 85
- Size
- 162 GB
- Version
- v1.0.0
- Updated
- Jun 26, 2026
Discover datasets
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- nm000232
THINGS-EEG2: A large and rich EEG dataset for modeling human visual object recognition
EEG ZarrTHINGS-EEG2 is a large EEG dataset from 10 participants who viewed 16,540 training images and 200 repeatedly presented test images from the THINGS database. Images were shown in rapid serial visual presentation at 5 Hz while 63-channel EEG was recorded at 1000 Hz across four sessions per subject. The dataset supports modeling of human visual object recognition and includes resting-state recordings, the authors' preprocessed epochs, and stimulus images.
- Participants
- 10
- Channels
- 63 (10-10)
- Citations
- 88
- Size
- 241 GB
- Version
- v1.1.0
- Updated
- Jul 5, 2026
- on005273
Neural representation of consciously seen and unseen information
EEG ZarrEEG dataset investigating the neural representation of consciously seen and unseen information. The recordings were collected by Rodríguez-San Esteban, Chica, and González-López and are shared in BIDS format. The dataset is mirrored on NEMAR from OpenNeuro (ds005273).
- Participants
- 33
- Channels
- 63 (10-10)
- Size
- 44.4 GB
- Version
- v1.0.0
- Updated
- Jun 26, 2026
- on005795
MULTI-CLARID (Multimodal Category Learning and Resting-state Imaging Data)
ANAT EEG FUNC…Collaboration is highly welcome! Details of the learning task The auditory category…
- Participants
- 34
- Channels
- 72 (10-10)
- Size
- 6.43 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- on004809
Categorized Free Recall: Delayed Free Recall of Word Lists Organized by Semantic Categories
BEH iEEG ZarrThis dataset provides behavioral events and intracranial EEG recordings from a categorized delayed free recall task. Participants studied visually presented word lists built from 25 semantic categories, completed arithmetic distractor problems, and then freely recalled the words. Each 12-word list contains pairs of same-category words from three categories. Data were collected at multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.
- Participants
- 258
- Size
- 477 GB
- Version
- v1.0.0
- Updated
- Jun 25, 2026
- on006260
Dataset of psychophysiological data from children with learning difficulties who strengthen reading and math skills through assistive technology
EEG Zarr…data from Mexican children with learning difficulties who strengthen reading and math…
- Participants
- 76
- Channels
- 32 (10-10)
- Size
- 2.76 GB
- Version
- v1.0.0
- Updated
- Jun 28, 2026
- on005410
Semantic_conditioning
EEG ZarrEEG dataset from a semantic fear conditioning task, collected to examine how awareness of stimulus contingencies shapes neural responses during fear conditioning. The recordings were used in an accompanying study by Pavlov and colleagues on contingency awareness. The data are organized in BIDS format with HED annotations.
- Participants
- 81
- Channels
- 63 (10-10)
- Size
- 19.8 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- on003645
Face processing MEEG dataset with HED annotation
ANAT BEH EEG MEG ZarrA multi-modal face processing dataset combining simultaneously recorded MEG and EEG with structural MRI from 18 participants. Participants viewed famous, unfamiliar, and scrambled faces and made a symmetry judgment by button press. The data are a curated repackaging of the MEEG portion of ds000117, with reorganized event logs, Hierarchical Event Descriptor (HED) annotations, and EEGLAB-format EEG.
- Participants
- 19
- Citations
- 80
- HED
- v8.1.0
- Size
- 106 GB
- Version
- v1.0.0
- Updated
- Mar 9, 2026
- 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
- on005558
Categorized Free Recall with Closed-Loop Stimulation at Encoding (Encoding Classifier)
BEH iEEG ZarrThis dataset contains behavioral events and intracranial electrophysiology (iEEG) recordings from a categorized free recall task with closed-loop electrical stimulation during encoding. Participants studied lists of semantically categorized words, completed arithmetic distractors, and freely recalled the words. Stimulation was triggered by a classifier trained on each participant's prior encoding data to predict subsequent recall. Data were collected at multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.
- Participants
- 9
- Size
- 12.2 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026