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This EEG dataset comprises recordings from 18 participants engaged in auditory and visual rhythm perception tasks using an omission paradigm. The study dissociates predictive neural mechanisms from sensory-evoked activity by presenting rhythmic stimuli with occasional omissions in both auditory and visual modalities. Comprehensive preprocessing code, time-frequency analysis, frequency band extraction, and statistical procedures are provided, with cluster analysis performed using EEGLAB.

Participants

18

Channels

32 (10-10)

Size

1.95 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises mobile EEG recordings from 44 healthy adults performing an auditory oddball task across three environmental conditions: laboratory, outdoor field, and campus navigation. Participants attended to or ignored complex tone stimuli (piano and horn) while 32-channel EEG was recorded using a Brain Vision LiveAmp amplifier. The study investigates how cognitive task demands, motor demands, and environmental complexity modulate attentional processing and event-related potentials during naturalistic behavior.

Participants

44

Channels

35 (10-10)

Citations

32

Size

89.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004980-blue…

Participants

17

Channels

64 (other)

Size

15.8 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains simultaneous EEG and MEG recordings from twenty adult participants presented with harmonic complex sound (HCS) stimuli varying in frequency, in an auditory oddball paradigm. The study investigates pre-attentive pitch processing at both sensor and source levels, comparing EEG and MEG responses. Data acquisition was conducted at the MEG Centre, Timone Hospital, Marseille, France.

Participants

19

Citations

1

Size

11.2 GB

Version

v1.0.0

Updated

Aug 19, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005415-blue…

Participants

13

Size

13.5 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains MEG recordings from a study investigating how the human brain compresses regular binary sound sequences in working memory, testing the language of thought hypothesis. Participants listened to hierarchically structured sequences of two sounds varying in complexity, quantified via minimal description length, while occasional deviant sounds probed their internalized knowledge of sequence structure. The study aimed to characterize how brain activity relates to sequence complexity and predictive processing.

Participants

19

Citations

5

Size

23.4 GB

Version

v1.0.0

Updated

Aug 19, 2026

Imported from OpenNeuro ds007175

Participants

1

Channels

64 (10-10)

Size

226 GB

Version

v1.0.0

Updated

Jul 10, 2026

…Data collected circa 2012-2013 in Laboratory for Neural Computation & Cognition at…

Participants

110

Channels

64 (10-10)

Citations

57

Size

22.1 GB

Version

v1.0.0

Updated

Aug 19, 2026

Imported from OpenNeuro ds003800

Participants

13

Channels

19 (10-20)

Size

364 MB

Version

v1.0.0

Updated

Jul 10, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004000-blue…

Participants

43

Channels

128

Size

22.5 GB

Version

v1.0.0

Updated

Jul 10, 2026