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on003766
A resource for assessing dynamic binary choices in the adult brain using EEG and mouse-tracking

BEH EEG Zarr

This dataset provides high-density (128-channel) EEG and mouse-tracking data from 31 adults aged 18-33, collected in 2020. It includes resting-state recordings and task recordings from food preference choices and semantic judgments. The resource is intended for studying the dynamic decision processes underlying binary choices in the human brain.

Participants

31

Channels

129 (egi-geodesic)

Citations

5

Size

153 GB

Version

v1.0.0

Updated

Jun 22, 2026

by Kun Chen et al. OpenNeuro ds003766
on006802
Collaborative rule learning promotes interbrain information alignment

EEG Zarr

This dataset contains EEG recordings from 24 pairs of participants performing a 4-way categorisation task based on rules they first agreed upon together. Participants also completed pre- and post-tests on the same stimuli. The data were collected to investigate how collaborative rule learning promotes information alignment between interacting brains.

Participants

24

Citations

6

Size

62.2 GB

Version

v1.0.0

Updated

Jun 29, 2026

by Moerel et al. OpenNeuro ds006802
nm000397
Executed and imagined grasp forces recorded with stereo-EEG (Murphy et al., 2016): 4 participants, power and pinch force-matching

iEEG

Stereo-electroencephalography (SEEG) recordings from four adults with drug-resistant epilepsy performing force-matching tasks with a power grasp and a lateral pinch. Two participants also completed blocks in which they only imagined producing the force. Each block contained trials at three force targets (20, 30 and 40% of maximum voluntary contraction). Recordings were sampled at 2000 Hz and include the analog force signal, and were converted to BIDS from a Dryad deposit.

Participants

4

Size

7.19 GB

Version

v1.0.0

Updated

Oct 8, 2026

by Brian A. Murphy et al.
on004395
Penn Electrophysiology of Encoding and Retrieval Study (PEERS)

BEH EEG Zarr

…See the Computational Memory Lab's [wiki page](https://memory.psych.upenn…

Participants

364

Channels

125 (egi-geodesic)

Size

8.72 TB

Version

v1.0.0

Updated

Jun 17, 2026

by Michael J. Kahana et al. OpenNeuro ds004395
on005065
Heuristics in risky decision-making relate to preferential representation of information MEG data

MEG Zarr

MEG recordings from participants performing a localizer task and a risky decision-making task, used to study how heuristics in risky choice relate to preferential neural representation of information. The dataset includes raw MEG with photodiode-derived event timing, event information tables, and preprocessed epoched data for the localizer and choice phases.

Participants

21

Size

431 GB

Version

v1.0.0

Updated

Jun 26, 2026

by Evan M. Russek et al. OpenNeuro ds005065
nm000256
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 3

BEH EEG Zarr fidelity issue

…watched a video. - “Memory” question type is a memory testing question that…

Participants

29

Channels

64 (10-10)

Size

7.47 GB

Version

v1.0.0

Updated

Jun 3, 2026

by Jens Madsen et al.
on004520
Changes in behavioral priority influence the accessibility of working memory content - Experiment 2

EEG Zarr fidelity issue

…influence the accessibility of working memory content". Analytic scripts for this project…

Participants

33

Channels

62 (10-10)

Size

10.4 GB

Version

v1.0.0

Updated

Jun 24, 2026

by Edward Ester et al. OpenNeuro ds004520
on005931
Visuomotor_task

iEEG Zarr

An intracranial EEG (iEEG) dataset recorded from ten epilepsy patients undergoing invasive monitoring for seizure localization. Participants played five sessions of Speed Match, a visuomotor game on the Lumosity platform, during interictal recording. Continuous iEEG recordings are provided in EDF format with channel information and event markers for finger tapping.

Participants

8

Size

818 MB

Version

v1.0.0

Updated

Jun 28, 2026

by Riyo Ueda et al. OpenNeuro ds005931
on004521
Changes in behavioral priority influence the accessibility of working memory content - Experiment 1

EEG Zarr fidelity issue

…influence the accessibility of working memory content". Analytic scripts for this project…

Participants

34

Channels

62 (10-10)

Size

10.7 GB

Version

v1.0.0

Updated

Jun 24, 2026

by Edward Ester et al. OpenNeuro ds004521
on003682
Model-based aversive learning in humans is supported by preferential task state reactivation

BEH MEG Zarr

This dataset contains raw and processed magnetoencephalography (MEG) recordings from a study of model-based aversive learning in humans. The study examines how learning about aversive outcomes is supported by preferential reactivation of task states. Raw data are provided as .fif files, alongside derived processed data.

Participants

28

Citations

3

Size

302 GB

Version

v1.0.0

Updated

Jun 22, 2026

by Toby Wise et al. OpenNeuro ds003682