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Showing 10 of 594 datasets · page 6 of 60

ds007221
Cross-Environment Multi-Paradigm Motor Imagery EEG Dataset

EEG

# Cross-Environment Multi-Paradigm Motor Imagery EEG Dataset # Description This dataset contains EEG recordings collected during motor imagery (MI) tasks under different recording environments. The primary dataset includes recordings from a controlled laboratory setting and a simulated hospital environment, designed to investigate the impact of environmental variability on EEG-based brain–computer interface (BCI) performance.In addition, a small supplementary dataset recorded in a space station

Participants

84

Size

125 GB

by Sun Xinwei et al.
ds007524
LittlePrince_MEG_French_Read_Pallier2025

MEGMRI

## Summary This dataset contains magnetoencephalography (MEG) recordings collected while participants read the French text of *Le Petit Prince* presented using a rapid serial visual presentation (RSVP) paradigm. A separate dataset containing MEG recordings from the auditory listening paradigm is available on OpenNeuro (accession number: ds007523). This data is analyzed in: d’Ascoli, S., Bel, C., Rapin, J. et al. Towards decoding individual words from non-invasive brain recordings. Nature Com

Participants

50

Size

299 GB

by Corentin Bel et al.
ds007523
LPP MEG Listen

MEGMRI

## Summary This dataset contains magnetoencephalography (MEG) recordings collected while participants listened to the French audiobook of *Le Petit Prince* by Antoine de Saint-Exupéry. A complementary MEG dataset from the same project, using a reading (RSVP) paradigm, is available on OpenNeuro (accession number: ds007524). This data is analyzed in: d’Ascoli, S., Bel, C., Rapin, J. et al. Towards decoding individual words from non-invasive brain recordings. Nature Communications 16, 10521 (20

Participants

58

Size

445 GB

by Corentin Bel et al.
ds007314
tACS for Patients with Post-Stroke Anomia

EEG

**Title:** Transcranial Alternating Current Stimulation (tACS) for Patients with Post-Stroke Anomia: Preliminary Data on Picture Naming Performance **Dataset Description:**\ This dataset includes EEG recordings from two post-stroke patients with chronic anomia who participated in an 8-week individualized neuromodulation intervention using transcranial alternating current stimulation (tACS). The intervention alternated between stimulation and non-stimulation phases every two weeks and was design

Participants

2

Size

1.09 GB

by Maria Martzoukou et al.
ds007615
LDAEP and resting-state EEG in healthy women

EEG

# LDAEP and resting-state EEG in healthy women ## The dataset at a glance - 69 participants, all female. - Age range: 19-40 years, mean age 25.3 years (SD 4.2). - A single recording session comprising two paradigms: LDAEP (54 participants) and resting-state (eyes-open and eyes-closed; 69 participants). - 64 EEG channels and 4 auxiliary oculogram channels. - Signal sampling rate: 2048 Hz. - Additional data include hormonal contraceptive use, menstrual cycle phase, depressive symptoms (BDI-II),

Participants

69

Size

34.6 GB

by Henrik Normannseth et al.
ds005107
OPM-FACE

MEGBEH

Main entrance: face_0_main Preprocessing: face_1_prep Decoding: face_2_dec RSA: face_3_rsa Statistical: face_4_stat BMS: face_6_bayes.m During original OPM-MEG data acquisition, individual facial point clouds and structural MRIs were not collected due to the unavailability of optical scanning equipment. Hence, all analyses were conducted at the whole-brain & sensor level. The raw data were originally stored using in-house LabVIEW format and were converted into the FIF format la

Participants

21

Size

27.6 GB

by Wei Xu et al.
ds007609
Resting-State EEG and Trait Anxiety

EEG

Resting-State EEG and Trait Anxiety ==================================== This dataset contains resting-state EEG recordings from 51 participants, collected as part of a study examining the relationship between resting-state EEG alpha/theta power, oscillatory dynamics, and trait anxiety. Participants ------------ 51 right-handed undergraduate students (25 female) from the University of Alberta, aged 17-51 years (mean = 20.4, SD = 4.9), participated for course credit. Authors ------- Tamari Sha

Participants

51

Size

7.01 GB

by Tamari Shalamberidze et al.
nm000136
Guttmann-Flury et al. 2025 (P300) — Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms

EEG

Participants

31

Size

7.34 GB

Version

v1.0.1

Updated

May 16, 2026

by Eva Guttmann-Flury et al.
ds007602
EEG-Speech Brain Decoding Dataset

EEG

# EEG-Speech Brain Decoding Dataset ## Overview This dataset contains EEG recordings and audio data. ## Sessions Sessions are labeled by recording date in YYYYMMDD format. - Example: `ses-20240401` = recorded on April 1, 2024 Multiple recordings on the same day are distinguished by run numbers: - `run-N`: Nth recording of the day ## Tasks - **speechopen**: Overt speech production task - Participants vocalize visually presented text ## File Format Notes ### EEG Data Raw EEG data is stored

Participants

3

Size

49.6 GB

by Motoshige Sato et al.
ds007591
Delineating neural contributions to EEG-based speech decoding

EEG

# Delineating neural contributions to EEG-based speech decoding ## Overview 128-channel EEG recordings during speech production tasks. Participants produced one of 5 color words (green, magenta, orange, violet, yellow) under three speech conditions: overt, minimally overt, and covert. Each trial consists of 5 repetitions of the same word (1.25 sec per repetition). ## Channel layout (139 channels total) - Channels 1-128: EEG - Channels 129-130: DISPLAY (bipolar pair, misc) - Channels 131-132:

Participants

3

Size

1.62 GB

by Motoshige Sato et al.