Discover datasets

BCIComp2020UpperLimb is a preprocessed EEG dataset from BCI Competition 2020 Track 4 containing motor imagery recordings of three grasping tasks (cylindrical, spherical, lumbrical) from 15 healthy subjects across three sessions. The dataset comprises 60-channel EEG data sampled at 250 Hz with 450 trials per subject (150 trials per session across 3 sessions), designed to evaluate session-to-session transfer learning in brain-computer interface applications. Data were preprocessed with 60 Hz notch filtering and cue-aligned epoching, with the 4-second motor imagery window extracted for analysis.

Participants

14

Channels

60 (10-10)

Citations

73

HED

v8.4.0

Size

2.76 GB

Version

v1.0.3

Updated

Aug 18, 2026

This dataset combines high-density electroencephalography (128-channel HD-EEG) and mouse-tracking to examine dynamic decision-making processes in the human brain. Collected from 31 adults (ages 18-33), it includes resting-state and task-related EEG data acquired during food preference choices and semantic judgment tasks. The resource provides both raw and preprocessed EEG data with synchronized behavioral measures, enabling investigation of neural correlates underlying binary choice decisions.

Participants

31

Channels

129 (egi-geodesic)

Citations

5

Size

153 GB

Version

v1.0.0

Updated

Jul 22, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004460-blue…

Participants

20

Channels

160 (other)

Citations

39

Size

61.4 GB

Version

v1.0.0

Updated

Jul 10, 2026

A comprehensive EEG dataset comprising 54 healthy subjects performing three major brain-computer interface (BCI) paradigms: motor imagery (MI), event-related potential (ERP), and steady-state visually evoked potential (SSVEP) across two sessions. The dataset investigates BCI illiteracy rates and performance variations, revealing that while MI showed the highest illiteracy rate (53.7%), all participants could control at least one BCI paradigm. Data were acquired at 1000 Hz using 62 EEG channels with concurrent electromyography recordings.

Participants

54

Channels

62 (10-05)

Citations

99

HED

v8.4.0

Size

121 GB

Version

v1.0.5

Updated

Aug 18, 2026

…stimuli in the subcortex and cortex, entitled "The auditory brainstem response to…

Participants

66

Channels

32 (10-10)

Citations

1

Size

103 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises MEG, MRI, EMG, and eye-tracking data from 31 healthy right-handed adults performing a sequential finger tapping task (SFTT) to study early motor skill learning, overnight consolidation, and longer-term retention. Participants completed an initial MEG training session followed by up to two retest sessions approximately 24 hours and 30 days later, with resting-state MEG collected before and after each practice block. The dataset supports investigation of neural correlates of motor skill acquisition and memory consolidation.

Participants

31

Citations

3

Size

95.8 GB

Version

v1.0.0

Updated

Aug 19, 2026

…Wolff & Brechmann, Cerebral Cortex, 2023) because of the copyright policy of OpenNeuro…

Participants

34

Channels

72 (10-10)

Citations

9

Size

6.43 GB

Version

v1.0.0

Updated

Aug 19, 2026

This derivative dataset contains processed MEG data from a study investigating the neural mechanisms of model-based aversive learning in humans. The research examines how task state representations are preferentially reactivated during aversive learning, providing insights into the computational and neural basis of threat-related decision-making and learning processes.

Participants

28

Size

302 GB

Version

v1.0.0

Updated

Jul 22, 2026

…sensitivity of the primary visual cortex to transient changes in low-level…

Participants

12

Channels

32 (10-10)

Citations

21

HED

v8.4.0

Size

337 MB

Version

v1.0.2

Updated

Aug 18, 2026

…A Null Finding (https://doi.org/10.1016/j.cortex.2024.05…

Participants

165

Channels

64 (biosemi)

Citations

16

Size

6.41 GB

Version

v1.0.0

Updated

Aug 19, 2026