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on006761
Neural decoding of competitive decision-making in Rock-Paper-Scissors

EEG Zarr

This dataset contains 64-channel EEG recordings from 62 participants, organized into 31 pairs, who played a computerised version of the competitive Rock-Paper-Scissors game across 480 games. It was collected to study the neural correlates of competitive decision-making and to support decoding of choices and outcomes from brain activity. Each session lasted about one hour.

Participants

31

Channels

64

Citations

5

Size

78.0 GB

Version

v1.0.0

Updated

Jun 29, 2026

by Moerel et al. OpenNeuro ds006761
nm000114
MDD Patients and Healthy Controls EEG Data

EEG Zarr

…The experimental condition for each recording is indicated by the "task" field…

Participants

64

Channels

22 (10-20)

Citations

173

Size

812 MB

Version

v1.0.0

Updated

Mar 14, 2026

by Wajid Mumtaz et al.
on004511
Deception_data

BEH EEG Zarr

This dataset contains EEG, physiological, and behavioural recordings collected in 2020 from 44 healthy adults aged 21-40. It includes eyes-closed resting-state recordings and two tasks: a spontaneous deception task (a gambling game with self-reported dice-roll predictions) and a cognitive control task battery. The battery covers processing speed, response selection, response inhibition, and conflict resolution.

Participants

45

Channels

139 (other)

Size

202 GB

Version

v1.0.0

Updated

Jun 24, 2026

by Makowski et al. OpenNeuro ds004511
nm000169
BNCI 2014-008 P300 dataset (ALS patients)

EEG Zarr

…ALS patients - **Clinical population**: amyotrophic lateral sclerosis - **Age**: mean=58.0, std…

Participants

8

Channels

8 (10-10)

Citations

89

HED

v8.4.0

Size

241 MB

Version

v1.0.3

Updated

Oct 8, 2026

by Angela Riccio et al.
on002814
A Multimodal Neuroimaging Dataset to Study Spatiotemporal Dynamics of Visual Processing in Humans

ANAT EEG FUNC Zarr

A multimodal neuroimaging dataset (EEG, anatomical MRI and functional MRI) for studying the spatiotemporal dynamics of visual processing in the human brain, as described by the dataset title. This is a NEMAR-hosted copy of OpenNeuro dataset ds002814. The associated article was under review at the time of the record. The source README is an unfilled placeholder, so further study details are not available in the dataset documentation. Contact the corresponding authors (Seyed-Mahdi Khaligh-Razavi, Fatemeh Ebrahiminia) for more information.

Participants

21

Citations

7

Size

48.6 GB

Version

v1.0.0

Updated

Jun 21, 2026

by Fatemeh Ebrahiminia et al. OpenNeuro ds002814
on004368
Meta-rdk: Preprocessed EEG data

EEG Zarr fidelity issue

…7 females) from the general population took part in this study. Schizophrenia…

Participants

39

Channels

63 (10-10)

Size

997 MB

Version

v1.0.0

Updated

May 13, 2026

by Martin Rouy et al. OpenNeuro ds004368
on005555
The Bitbrain Open Access Sleep (BOAS) dataset

EEG Zarr

…In order to represent the general population, we recruited a broad spectrum…

Participants

128

Channels

2

Size

33.5 GB

Version

v1.0.0

Updated

Jun 27, 2026

by Eduardo López-Larraz et al. OpenNeuro ds005555
on004626
Can we dissociate hypervigilance to social threats from altered perceptual decision-making processes in lonely individuals? An exploration with Drift Diffusion Modelling and event-related potentials.

EEG Zarr

EEG dataset examining whether hypervigilance to social threats in lonely individuals can be dissociated from altered perceptual decision-making. Behavioral data were analysed with Drift Diffusion Modelling and neural responses with event-related potentials. The dataset accompanies a Psychophysiology article on loneliness and social threat processing.

Participants

52

Channels

68 (10-10)

Citations

5

Size

19.9 GB

Version

v1.0.0

Updated

Jun 25, 2026

by Szymon Mąka et al. OpenNeuro ds004626
on004367
Meta-rdk: Raw EEG data

EEG Zarr

…7 females) from the general population took part in this study. Schizophrenia…

Participants

40

Channels

68 (10-10)

Size

28.0 GB

Version

v1.0.0

Updated

Jun 18, 2026

by Martin Rouy et al. OpenNeuro ds004367
nm000264
Vaineau, Barachant & Andreev 2013 — Brain Invaders Adaptive versus Non-Adaptive P300 Brain-Computer Interface dataset (BI2013a)

EEG Zarr

EEG recordings from 24 healthy participants performing a visual P300 Brain-Computer Interface task based on the Brain Invaders video game, collected at GIPSA-lab (Grenoble) in 2013. The experiment compared a P300 BCI with and without adaptive calibration using Riemannian geometry. Each participant completed multiple sessions with randomized adaptive and non-adaptive runs, each with a training phase and an online phase.

Participants

24

Channels

16 (10-10)

HED

v8.4.0

Size

3.00 GB

Version

v1.0.5

Updated

Oct 8, 2026

by E. Vaineau et al.