on007262
Cognitive Workload 8-level arithmetic
EEG
Imported from OpenNeuro ds007262
- Participants
- 20
- Size
- 1.92 GB
- Version
- v1.0.0
- Updated
- May 16, 2026
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- ds007454
A common neural mechanism underlies experiences of passage of time
EEG# Raw data for the study 'A common neural mechanism underlies experiences of passage of time' This repository contains the BIDS-formatted dataset generated from EEG and behavioral data. ## Dataset Structure ``` bids_dataset ├── sub-XXX │ ├── eeg │ └── sub-XXX_scans.tsv ├── dataset_description.json ├── participants.json ├── participants.tsv ├── README.md └── CHANGES.txt ├── sourcedata │ └── sub-XXX ``` References: Appelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf
- Participants
- 42
- Size
- 29.6 GB
- Updated
- Jun 6, 2026
- nm000115
Zhou2016
EEG- Participants
- 4
- Size
- 152 MB
- Version
- v1.0.0
- Updated
- May 16, 2026
- nm000114
MDD Patients and Healthy Controls EEG Data
EEG- Participants
- 64
- Size
- 721 MB
- Version
- v1.0.0
- Updated
- May 16, 2026
- nm000113
2020 BCI competition, track 3
EEG- Participants
- 15
- Size
- 585 MB
- Version
- v1.0.0
- Updated
- May 16, 2026
- nm000112
FACED - Finer-grained Affective Computing EEG Dataset
EEG- Participants
- 123
- Size
- 35.2 GB
- Version
- v1.1.3
- Updated
- May 29, 2026
- nm000110
CHB-MIT
EEG- Participants
- 24
- Size
- 42.6 GB
- Version
- v1.0.1
- Updated
- May 16, 2026
- nm000109
EEG During Mental Arithmetic Tasks
EEG- Participants
- 36
- Size
- 174 MB
- Version
- v1.0.0
- Updated
- May 16, 2026
- ds007431
Diffuse predictions stabilize and reshape neural code during memory encoding
EEGExperimental task: participants judged whether a probe grating was rotated clockwise or counterclockwise relative to a memorized orientation, which was either predictable or unpredictable. Each memory item was preceded by a central color cue (red, green, or blue). In half of the trials, two of these colors (predictive) cued two non-overlapping 90° segments of orientations that the grating was sampled from. Thus, participants knew the range of possible orientations of these items, but not their e
- Participants
- 47
- Size
- 145 GB
- Updated
- Jun 6, 2026
- ds007427
Comprehensive methodology for sample enrichment in EEG biomarker studies for Alzheimer’s risk classification
EEGReferences ---------- Henao Isaza, V., Aguillon, D., Tobón Quintero, C. A., Lopera, F., & Ochoa Gómez, J. F. (2026). Comprehensive methodology for sample enrichment in EEG biomarker studies for Alzheimer's risk classification. PLOS ONE. https://doi.org/10.1371/journal.pone.0343722
- Participants
- 44
- Size
- 3.15 GB
- Updated
- Jun 6, 2026