OPM-MEG, SQUID-MEG, and EEG (OSE) dataset

The “OPM-MEG, SQUID-MEG, and EEG (OSE)” dataset aims to disseminate a new type of magnetoencephalography (MEG) device, an optically pumped magnetometer (OPM), which enables a wearable MEG measurement system. This dataset provides OPM-MEG, SQUID-MEG, and electroencephalography (EEG) data. Using this dataset, you can test the source imaging from the OPM-MEG data and compare the results with those from the conventional SQUID-MEG and EEG data.

RELEASED DATA

Updated: Nov 29, 2023

Subjects: Five males (25-43 years old)

Measurements: OPM-MEG, SQUID-MEG, EEG and T1-weighted image (T1)

Tasks: Motor, Auditory, Somatosensory, and Resting-state

TERMS OF USE

You may download, use, and make copies of the data for scientific and educational purposes according to the following terms of use.

LICENSE

Creative Commons Attribution 4.0 International License (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)

CITATION

If you use this dataset in your publications, please acknowledge its authors and include the following message: “This data was obtained from the OSE dataset (https://vbmeg.atr.jp/nictitaku209/)

DOWNLOAD

Updated: Nov 29, 2023

SubRaw data Preprocessed OPM data
(see the details)
s002

002.zip

(3.3GB)

002.zip

(108MB)
s005

005.zip

(3.3GB)

005.zip

(110MB)
s006

006.zip

(3.2GB)

006.zip

(102MB)
s093

093.zip

(2.2GB)

093.zip

(109MB)
s095

095.zip


(2.5GB)
No data
EMPTY room data

EMPTY.zip

(122MB)
No data
All Data

all.zip

(15.1GB)

all.zip

(430MB)

** When you unzip downloaded files, you need to use an unzip tool that supports zip64 format.

ACKNOWLEDGEMENT

The OSE dataset was collected by the members in ATR Neural information analysis laboratories, with funding support from the National Institute of Information and Communications Technology (NICT, Japan) as part of the research project entitled ‘Analysis of multi-modal brain measurement data and development of its application for BMI open innovation’ (grant # 209).

AUTHORS

  • Okito Yamashita (project leader)
  • Yusuke Takeda
  • Nobuo Hiroe
  • Ryosuke Hayashi
  • Keita Suzuki
  • Fumiya Nakai
  • Masato Uehara
  • Yoshiko Itakura

CONTACT INFORMATION

If you have any inquiries on this dataset, please send an e-mail to the following mail address.

Okito Yamashita, Department head in ATR Computational Neuroscience Laboratories.
oyamashi(at)atr.jp

ATR
NICT