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on002723
A dataset recorded during development of an affective brain-computer music interface: testing session

EEG

EEG recordings from 8 healthy adults using a real-time, online affective music brain-computer interface. The system identified each listener's emotional state and modified synthetically generated 60 s music clips on the fly to induce target affective states defined by valence and arousal. The dataset includes self-reported valence and arousal and is one of three connected datasets from the BCMI-MIdAS project.

Participants

8

Channels

32 (10-10)

Size

2.60 GB

Version

v1.0.0

Updated

Jun 21, 2026

by Ian Daly et al. OpenNeuro ds002723
on007537
A multimodal dataset of EEG, eye-tracking, and physiological signals during smartphone interaction

BEH EEG Zarr

…tracking data streams, enabling precise temporal alignment across all modalities. EEG event…

Participants

23

Channels

64 (10-10)

Size

6.12 GB

Version

v1.0.0

Updated

Jun 30, 2026

by Prakash Mishra et al. OpenNeuro ds007537
on002001
Rivalry_Tagging

ANAT MEG Zarr

Rivalry_Tagging is a neuroimaging dataset of binocular rivalry recordings collected between February and March 2014. Trials include events for pattern presentation (pattern1, pattern2), left and right tap responses, baseline periods, and non-rivalry color (green/red) conditions. Trigger channels (UDIO001, UPPT001) are provided to align stimulus and response events.

Participants

11

Size

81.7 GB

Version

v1.0.0

Updated

Jun 21, 2026

by Janine Mendola et al. OpenNeuro ds002001
on007640
Dataset of emotion recognition using validated video stimuli with large-scale behavioral survey and MEG recordings

BEH MEG Zarr

…discrete emotion categories (PrEmo) and temporal highlight scene selections, providing a more…

Participants

23

Size

88.8 GB

Version

v1.0.0

Updated

Jun 30, 2026

by Moon-A Yoo et al. OpenNeuro ds007640
on004579
Interval Timing Task

EEG Zarr

EEG dataset from 139 participants, 94 with Parkinson's disease and 45 controls, performing an interval timing task. Participants judged short (3 s) and long (7 s) intervals and pressed a spacebar when they thought the target interval had elapsed, while a distractor vowel appeared at random times. The dataset supports research on midfrontal activity and cognitive dysfunction in Parkinson's disease.

Participants

139

Channels

63 (10-10)

Citations

5

Size

24.1 GB

Version

v1.0.0

Updated

Jun 24, 2026

by Arun Singh arun.singh@usd.edu et al. OpenNeuro ds004579
nm000184
BCI Competition 2020 Track 5 — ERP during walking (scalp, ear-EEG, and IMU)

EEG Zarr

…under ambulatory conditions, with trials temporally divided into training, validation, and test…

Participants

15

Channels

46 (10-10)

HED

v8.4.0

Size

224 MB

Version

v1.0.4

Updated

Oct 8, 2026

by Ji-Hoon Jeong et al.
on003374
Dataset of neurons and intracranial EEG from human amygdala during aversive dynamic visual stimulation

iEEG Zarr

…invasive monitoring in the mesial temporal lobe. Subjects were presented with dynamic…

Participants

9

Citations

24

Size

297 MB

Version

v1.0.0

Updated

Jun 21, 2026

by Tommaso Fedele et al. OpenNeuro ds003374
nm000367
Cognitive boundaries and theta phase precession: human microwire LFP during movie-clip encoding, scene recognition and time discrimination (Zheng et al. 2024, DANDI 000940)

iEEG

Microwire local field potentials (200 Hz) recorded from Behnke-Fried hybrid depth electrodes in 16 patients with drug-resistant epilepsy during a cognitive-boundary memory paradigm. Participants encoded 90 silent movie clips containing no, soft, or hard event boundaries, then completed a scene-recognition test and a time-discrimination test. Recording sites include the amygdala, hippocampus, and parahippocampal gyrus, with some participants also covering the dorsal anterior cingulate, pre-SMA, and ventromedial prefrontal cortex. This is an iEEG-BIDS representation of the authors' NWB release on DANDI (000940), supporting analyses of theta phase precession and episodic memory.

Participants

16

Size

2.75 GB

Version

v1.0.0

Updated

Oct 8, 2026

by Jie Zheng et al.
on002680
Go-nogo categorization and detection task

EEG Zarr

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on002680-blue…

Participants

14

Channels

31 (10-20)

Size

9.22 GB

Version

v1.0.0

Updated

Jun 21, 2026

by Arnaud Delorme OpenNeuro ds002680
on005406
EEG frequency tagging reveals the integration of dissimilar observed actions

EEG Zarr

EEG dataset investigating how the brain integrates dissimilar observed actions, using frequency tagging. The recordings are organized in BIDS format and were collected to study neural responses to observed actions presented at distinct tagged frequencies.

Participants

29

Channels

63 (10-05)

Citations

2

Size

13.3 GB

Version

v1.0.0

Updated

Jun 27, 2026

by Silvia Formica et al. OpenNeuro ds005406