{"id":2,"date":"2020-10-06T05:15:38","date_gmt":"2020-10-06T05:15:38","guid":{"rendered":"https:\/\/vbmeg.atr.jp\/nictitaku209\/?page_id=2"},"modified":"2023-11-30T09:17:38","modified_gmt":"2023-11-30T00:17:38","slug":"sample-page","status":"publish","type":"page","link":"https:\/\/vbmeg.atr.jp\/nictitaku209\/","title":{"rendered":"OPM-MEG, SQUID-MEG, and EEG (OSE) dataset"},"content":{"rendered":"\n

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. <\/p>\n\n\n\n

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RELEASED DATA<\/h2>\n\n\n\n

Updated: Nov 29, 2023<\/p>\n\n\n\n

Subjects: Five males (25-43 years old)<\/p>\n\n\n\n

Measurements: OPM-MEG, SQUID-MEG, EEG and T1-weighted image (T1) <\/p>\n\n\n\n

Tasks: Motor, Auditory, Somatosensory, and Resting-state<\/p>\n\n\n\n

LEARN More <\/a><\/div>\n<\/div><\/div><\/div><\/div><\/div>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>\n\n\n\n

TERMS OF USE <\/h2>\n\n\n\n

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You may download, use, and make copies of the data for scientific and educational purposes according to the following terms of use.<\/p>\n\n\n\n

LICENSE<\/h4>\n\n\n\n

Creative Commons Attribution 4.0 International License (CC BY 4.0) (https:\/\/creativecommons.org\/licenses\/by\/4.0\/<\/a>)<\/p>\n\n\n\n

CITATION<\/h4>\n\n\n\n

If you use this dataset in your publications, please acknowledge its authors and include the following message: \u201cThis data was obtained from the OSE dataset (https:\/\/vbmeg.atr.jp\/nictitaku209\/)<\/a>\u201d<\/p>\n\n\n\n

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DOWNLOAD<\/h2>\n\n\n\n

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Reference Manual (PDF)<\/a><\/div>\n<\/div>\n\n\n\n

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Updated: Nov 29, 2023<\/p>\n\n\n\n

Sub<\/td>Raw data <\/i><\/td>Preprocessed OPM data <\/i>
(see the details<\/a>)<\/td><\/tr>
s002<\/td>

002.zip<\/a><\/strong><\/p><\/a> (3.3GB)<\/td>

002.zip<\/a><\/strong><\/p><\/a> (108MB)<\/td><\/tr>

s005<\/td>

005.zip<\/a><\/strong><\/p> (3.3GB)<\/td>

005.zip<\/a><\/strong><\/p><\/a> (110MB)<\/td><\/tr>

s006<\/td>

006.zip<\/a><\/strong><\/p> (3.2GB)<\/td>

006.zip<\/a><\/strong><\/p><\/a> (102MB)<\/td><\/tr>

s093<\/td>

093.zip<\/a><\/strong><\/p> (2.2GB)<\/td>

093.zip<\/a><\/strong><\/p><\/a> (109MB)<\/td><\/tr>

s095<\/td>

095.zip<\/a><\/strong><\/p>
(2.5GB)<\/td>

No data<\/td><\/tr>
EMPTY room data<\/td>

EMPTY.zip<\/a><\/strong><\/p><\/a> (122MB)<\/td>

No data<\/td><\/tr>
All Data <\/td>

all.zip<\/a><\/strong><\/p><\/a> (15.1GB)<\/td>

all.zip<\/a><\/strong><\/p><\/a> (430MB)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

** When you unzip downloaded files, you need to use an unzip tool that supports zip64 format.<\/em><\/p>\n\n\n\n

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ACKNOWLEDGEMENT<\/h2>\n\n\n\n

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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 \u2018Analysis of multi-modal brain measurement data and development of its application for BMI open innovation\u2019 (grant # 209).<\/p>\n\n\n\n

AUTHORS<\/h4>\n\n\n\n