on003458
EEG: Three armed bandit gambling task
EEG Zarr
…Task included in Matlab programming language. Data collected in 2014 in the…
- Participants
- 23
- Channels
- 64 (10-10)
- Size
- 4.72 GB
- Version
- v1.0.0
- Updated
- Jul 2, 2026
Discover datasets
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- nm000278
ZuCo 1.0: Simultaneous EEG and Eye-Tracking during Natural Reading
EEG Zarr[
- Citations
- 94
- Size
- 19.3 GB
- Version
- v1.0.1
- Updated
- Oct 9, 2026
- nm000153
Langer et al. 2017 — Multimodal Resource for Studying Information Processing in the Developing Brain (MIPDB)
EEG Zarr…because the per-block paradigm mapping > is not explicitly enumerated in Langer…
- Participants
- 111
- Citations
- 65
- Size
- 110 GB
- Version
- v1.0.0
- Updated
- Jun 17, 2026
- on003509
EEG: Simon Conflict in Parkinson's
EEG Zarr…Task included in Matlab programming language. Data collected circa 2015 in Cognitive…
- Participants
- 56
- Channels
- 67 (10-10)
- Citations
- 1
- Size
- 22.3 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
- nm000365
Du-IN Chinese word-reading sEEG (Zheng et al., NeurIPS 2024): authors' preprocessed 3-s epochs, 12 subjects, 61 words
iEEGPreprocessed stereo-EEG (sEEG) recordings from 12 epilepsy patients reading 61 Chinese words aloud, packaged in BIDS from the Du-IN release (Zheng et al., NeurIPS 2024). The data are the authors' band-pass filtered, resampled, bipolar-referenced 3-second word-labelled epochs, stored back to back in BrainVision files, with word labels and English translations in the events files. The dataset supports research on speech decoding from intracranial neural signals.
- Participants
- 12
- Size
- 130 GB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- on003506
EEG: Reinforcement Learning in Parkinson's
EEG Zarr…Task included in Matlab programming language. Data collected circa 2015 in Cognitive…
- Participants
- 56
- Channels
- 67 (10-10)
- Citations
- 2
- Size
- 16.2 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
- on006460
High-DensityvSparsefNIRS_WordColorStroop_HD_Anderson_2025
NIRSThis dataset contains high-density, multi-distance functional near-infrared spectroscopy (fNIRS) recordings collected while participants performed a word-color Stroop task. It was designed to compare high-density with sparse fNIRS measurement configurations for detecting task-related brain activity. The data are organized in BIDS format.
- Participants
- 17
- Size
- 460 MB
- Version
- v1.0.0
- Updated
- Jun 18, 2026
- on007714
Cambridge_data
NIRSFunctional near-infrared spectroscopy (fNIRS) dataset named Cambridge_data, deposited on OpenNeuro (ds007714) by Gemma Bale and colleagues and mirrored on NEMAR. The data are organized in BIDS format as SNIRF recordings with accompanying JSON and TSV metadata files (65 files, about 1.24 GB). The source deposit does not document the experimental paradigm, participant characteristics, or recording setup, so these details should be obtained from the original authors.
- Participants
- 64
- Size
- 1.25 GB
- Version
- v1.0.0
- Updated
- Jun 19, 2026
- nm000228
Nieuwland et al. 2018: Multi-site N400 Replication Study
EEG Zarr…Large-scale replication study reveals a limit on probabilistic prediction in language…
- Participants
- 356
- Channels
- 63 (10-10)
- Citations
- 98
- Size
- 103 GB
- Version
- v1.1.0
- Updated
- Jul 5, 2026
- on006459
High-DensityvSparsefNIRS_WordColorStroop_Sparse_Anderson_2025
NIRSThis dataset contains functional near-infrared spectroscopy (fNIRS) recordings collected during a word-color Stroop task using a sparse fNIRS montage. It accompanies a study comparing high-density, multi-distance fNIRS with sparse configurations for detecting task-related brain activity. The data are organized in BIDS format and are mirrored on NEMAR from OpenNeuro.
- Participants
- 17
- Size
- 169 MB
- Version
- v1.0.0
- Updated
- Jun 18, 2026