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This dataset contains preprocessed EEG recordings from 6 healthy participants performing imagined speech tasks with three short word conditions (out, in, up). Data were acquired at 256 Hz using 64 channels and analyzed using Riemannian manifold methods and relevance vector machines for brain-computer interface applications. The motor imagery paradigm employed auditory and visual cueing, yielding 5,400 trials suitable for BCI research and benchmarking.

Participants

6

Channels

60 (10-10)

Citations

98

HED

v8.4.0

Size

1.90 GB

Version

v1.0.3

Updated

Aug 18, 2026

This dataset comprises pooled electrooculography (EOG) data from 41 participants across two studies investigating the relationship between eye blinks and attention during a competing speaker paradigm. Participants performed selective auditory attention tasks while listening to competing audiobooks, with experimental conditions varying between studies regarding sound presentation (omnidirectional versus beamforming). The dataset integrates EOG recordings from Jaeger et al. (2020) and Holtze et al. (2021) to enable comparative analysis of oculomotor behavior during dichotic listening tasks.

Participants

41

Channels

7 (egi-geodesic)

Citations

2

Size

8.01 GB

Version

v1.0.0

Updated

Jul 10, 2026

MEG-SCANS is a magnetoencephalography (MEG) dataset comprising raw and MaxFiltered recordings from 24 German-speaking participants performing an auditory speech experiment. Stimuli included audiobooks, Oldenburger Matrix Sentence Test sentences at varying intelligibility levels for speech reception threshold assessment, and chirp stimuli for signal quality checks. The dataset also includes structural MRI scans, hearing screening results, empty-room recordings, and audio stimulus materials, organized in BIDS format to support encoding/decoding analyses of speech-evoked brain responses.

Participants

24

Citations

1

Size

204 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises EEG recordings from 27 healthy adult subjects investigating the interaction of pitch and time in music encoding using 'chimeric music' stimuli that recombine pitch contours and note onset-times from two distinct melodies. Data were collected between September and November 2023 at the University of Rochester, with participants exposed to original and chimeric monophonic music clips alongside click trains during a two-phase experiment. The dataset is formatted according to the EEG-BIDS standard and includes raw BrainVision format EEG data.

Participants

27

Channels

34 (10-10)

Size

193 GB

Version

v1.0.0

Updated

Aug 19, 2026

Chisco-2.0 is an imagined speech EEG dataset comprising raw EDF recordings from two participants (sub-01 and sub-02). It is intended to support research into decoding imagined speech from electroencephalographic signals, providing a resource for brain-computer interface and speech neuroscience studies.

Participants

2

Channels

124 (10-05)

Size

52.9 GB

Version

v1.0.0

Updated

Aug 19, 2026

FRESH Audio Dataset is a functional near-infrared spectroscopy (fNIRS) dataset collected during audio processing tasks. The dataset contains raw fNIRS measurements organized according to the Brain Imaging Data Structure (BIDS) standard. This dataset supports research into auditory neuroscience and the neural correlates of sound processing. NOTE: Dataset status should be verified as complete and finalized before DOI minting.

Participants

17

Size

65.5 MB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains EEG data from the Word Processing task of the PURSUE project, collected to elicit the N400 event-related potential (ERP) component associated with semantic word processing. Data were collected from participants at three primarily undergraduate institutions in Southern California, Massachusetts, and Virginia during 2017 and 2018. The task design follows the ERP CORE paradigm developed by Kappenman et al. (2021).

Participants

288

Channels

32 (10-10)

Size

8.98 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains EEG recordings from participants performing a rapid serial visual presentation (RSVP) with flankers reading task involving sentences with semantic and syntactic violations. The study examined neural responses to subject-verb agreement violations, semantic violations, combined violations, and word-order violations compared to grammatically correct control sentences. Data were collected at the NeuroCognition Laboratory at San Diego State University under IRB approval.

Participants

64

Channels

32 (10-10)

Size

6.22 GB

Version

v1.0.0

Updated

Sep 8, 2026

This dataset comprises magnetoencephalography (MEG) recordings of auditory single word recognition in human subjects. Participants listened to isolated words while neural activity was recorded, providing insights into the temporal dynamics of auditory word comprehension. The dataset is described in Gaston et al. (2022) 'Auditory word comprehension is less incremental in isolated words' published in Neurobiology of Language. The dataset includes raw MEG data, stimulus information, and associated metadata organized according to the Brain Imaging Data Structure (BIDS) standard. This is a NEMAR-converted version of OpenNeuro dataset ds004276.

Participants

19

Citations

1

Size

11.6 GB

Version

v1.0.0

Updated

Jul 10, 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