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This MEG dataset contains neural recordings from human subjects during memory and localizer phases of an experiment investigating memory replay and sequential neural activity patterns. Participants viewed images from multiple stimulus categories and story-ending stimuli while MEG signals were recorded. The dataset includes detailed trigger information for event marking and timing, enabling analysis of neural sequenceness and memory-related brain activity.

Participants

25

Citations

13

Size

204 GB

Version

v1.0.0

Updated

Jul 10, 2026

…Eelbrain, a Python toolkit for time-continuous analysis with temporal response functions…

Participants

41

Channels

64 (10-10)

Citations

1

Size

89.1 GB

Version

v1.0.0

Updated

Aug 18, 2026

A single-pulse transcranial magnetic stimulation (TMS) combined with electroencephalography (EEG) dataset acquired in open-loop configuration. This dataset provides concurrent TMS-EEG recordings suitable for investigating cortical responses to magnetic stimulation and characterizing brain reactivity to non-invasive neuromodulation. The dataset comprises recordings from multiple subjects across multiple sessions with concurrent TMS-EEG acquisition.

Participants

20

Channels

30 (10-10)

Size

39.4 GB

Version

v1.0.0

Updated

Jul 10, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on002712-blue…

Participants

25

Size

310 GB

Version

v1.0.0

Updated

Jul 10, 2026

…Eelbrain, a Python toolkit for time-continuous analysis with temporal response functions…

Participants

35

Citations

74

Size

166 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains EEG recordings from twenty-one participants performing a continuous feedback learning task in which they predicted the final height of an animated rising bar following different predictive cues. The task manipulated outcome predictability (highly predictable, somewhat predictable, unpredictable) using cued gnome stimuli, allowing investigation of neural correlates of continuous feedback and reward prediction processing.

Participants

21

Channels

31 (10-10)

Size

3.48 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from 34 participants collected to investigate the adaptive recruitment of cortex-wide recurrent processing during visual object recognition. Participants viewed a stimulus set of 242 images, comprising 'challenge' and 'control' images selected based on discrepancies between human behavioral performance and AlexNet classification, while performing a rapid serial visual presentation task with a paper-clip detection component. The dataset includes derivatives with time-resolved decoding accuracy matrices for object identity, supporting analyses of recurrent cortical dynamics in visual processing.

Participants

34

Channels

63 (10-10)

Citations

1

Size

61.2 GB

Version

v1.0.0

Updated

Aug 19, 2026

…FC5, FC6 (frontal), FT7, FT8 (temporal), C3, Cz, C4, CP3, CP4 (central…

Participants

23

Channels

64 (10-10)

Size

21.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003703-blue…

Participants

34

Citations

1

Size

195 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset is a subset of a large-scale EEG data collection effort conducted in field settings across India and Tanzania, involving thousands of participants including diverse populations such as Hadzabe hunter-gatherers and office workers. EEG recordings are accompanied by metadata such as age, sex, income, and Mental Health Quotient (MHQ) score. The dataset demonstrates the feasibility of high-quality, low-cost EEG data collection by nonspecialists outside controlled laboratory environments, with applications for large-scale neurophysiological research in low- and middle-income countries.

Participants

2000

Channels

50 (other)

Citations

4

Size

16.1 GB

Version

v1.0.0

Updated

Aug 18, 2026