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The MNE-Sample-Data dataset comprises simultaneous MEG and EEG recordings acquired from a single subject using a Neuromag Vectorview system at the Martinos Center for Biomedical Imaging. The experiment involved visual stimulation (checkerboard patterns presented to left and right visual fields) and auditory stimulation (tones to left and right ears), with occasional face stimuli requiring motor responses. Structural MRI data from a 1.5 T Siemens scanner and Freesurfer-derived anatomical derivatives are included, providing a comprehensive reference dataset for MEG/EEG analysis and method development.

Participants

2

Size

1.93 GB

Version

v1.0.0

Updated

Jul 10, 2026

An open-access EEG dataset containing recordings from 15 healthy Spanish-speaking subjects performing imagined speech tasks. The dataset comprises 11 imagery classes (5 Spanish vowels and 6 directional commands) acquired using 6-channel EEG at 1024 Hz with preprocessed data (bandpass filtered 2-45 Hz). This BIDS-reformatted derivative is based on the original data described in Pressel et al. 2016 and supports brain-computer interface research and motor imagery classification studies.

Participants

15

Channels

6 (10-20)

Citations

92

HED

v8.4.0

Size

2.00 GB

Version

v1.0.4

Updated

Aug 18, 2026

This dataset comprises EEG recordings from two experiments investigating evoked responses to sounds presented at varying elevations from loudspeakers in a hemi-anechoic chamber. In Experiment I, a deviant detection paradigm was used to examine responses to changes in sound source elevation between an adapter and probe stimulus. In Experiment II, a one-back task assessed elevation discrimination via white noise adaptation and localization judgments, including a subset of subjects tested with sound localization disrupted by ear molds. The dataset also includes behavioral localization test data for most subjects.

Participants

58

Channels

64 (other)

Size

22.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

Imported from OpenNeuro ds005628

Participants

102

Channels

8 (10-10)

Citations

1

Size

633 MB

Version

v1.0.0

Updated

Jul 10, 2026

MEG-MASC is a high-quality magnetoencephalography dataset comprising raw MEG recordings from 27 English speakers listening to approximately two hours of naturalistic stories from the Manually Annotated Sub-Corpus (MASC). The dataset includes precise temporal annotations of word and phoneme onsets/offsets, organized according to the Brain Imaging Data Structure (BIDS) standard. This benchmark dataset enables large-scale encoding and decoding analyses of neural responses to natural speech processing, with accompanying code for validation analyses including temporal decoding of phonetic features and word frequency effects.

Participants

27

Citations

46

Size

99.3 GB

Version

v1.0.1

Updated

Jul 10, 2026

This dataset comprises electroencephalography (EEG) recordings from 13 participants performing semantic imagination and perception tasks across visual and auditory modalities. Participants were presented with stimuli from three semantically dissimilar categories (guitar, flower, penguin) in pictorial, orthographic, and auditory formats. The dataset includes raw, preprocessed, and epoched EEG data acquired using a 124-channel ANT-Neuro system, providing a resource for investigating neural correlates of semantic processing and cross-modal perception.

Participants

12

Channels

124 (10-05)

Citations

1

Size

79.1 GB

Version

v1.0.0

Updated

Aug 19, 2026

This MEG dataset comprises auditory cortex mapping data from a single subject acquired using a CTF 275 system at 120 kHz sampling rate. The experiment involved passive listening to 1,795 iso-intensity pure tones ranging from 100 Hz to 21.5 kHz presented binaurally over a 12-minute acquisition run. The dataset includes anatomical MRI data processed with FreeSurfer and serves as a reference example for MEG-based auditory cortex mapping techniques.

Participants

2

Citations

2

Size

15.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains EEG, electroglottography (EGG), and audio recordings from participants exposed to delayed auditory feedback (DAF) during speech production. The data were collected to investigate the neural and vocal responses to auditory feedback delays, capturing both brain activity and vocal fold vibration patterns synchronized with speech and altered auditory feedback timing.

Participants

32

Channels

62 (10-10)

Size

136 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains electrocorticography (ECoG) recordings from three cohorts of C57BL/6 mice examining how transcranially delivered diagnostic ultrasound (tDUS) modulates cortical responses to a blinking light stimulus. Mice were exposed to combinations of tDUS and light stimulation, with electrodes targeting visual and somatosensory cortices, to investigate ultrasound's potential to intentionally modulate brain activity for future clinical and therapeutic applications.

Participants

20

Size

8.42 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises Auditory Brainstem Response (ABR) recordings from 22 healthy young adults (ages 22.7 ± 5.1 years) obtained during continuous presentation of music and speech stimuli. Using a deconvolution method applied to EEG data collected from June to August 2021, the study investigates subcortical and cortical neural responses to different acoustic categories. The dataset includes raw EEG recordings in BrainVision format, stimulus files, and detailed event metadata enabling analysis of neural differentiation between music and speech processing. Two subjects (014 and 021) were excluded due to self-withdrawal and technical data collection issues, respectively.

Participants

22

Channels

34 (10-10)

Citations

21

Size

213 GB

Version

v1.0.0

Updated

Jul 10, 2026