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EEG dataset of consumer- and research-grade systems.

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Title: EEG dataset of consumer- and research-grade systems.
Authors: Lee Y; Department of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea., Gwon D; Department of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea., Kim K; School of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea., Park S; School of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea., Sohn S; School of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea., Choi M; School of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea., Choi M; Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea., Bae JH; Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.; Aging Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea., Ahn M; Department of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea. minkyuahn@handong.edu.; School of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea. minkyuahn@handong.edu.
Source: Scientific data [Sci Data] 2026 Mar 05; Vol. 13 (1). Date of Electronic Publication: 2026 Mar 05.
Publication Type: Journal Article; Dataset
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: EEG dataset of consumer- and research-grade systems.
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  Data: <searchLink fieldCode="AU" term="%22Lee+Y%22">Lee Y</searchLink>; Department of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Gwon+D%22">Gwon D</searchLink>; Department of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+K%22">Kim K</searchLink>; School of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Park+S%22">Park S</searchLink>; School of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Sohn+S%22">Sohn S</searchLink>; School of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Choi+M%22">Choi M</searchLink>; School of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Choi+M%22">Choi M</searchLink>; Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Bae+JH%22">Bae JH</searchLink>; Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.; Aging Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Ahn+M%22">Ahn M</searchLink>; Department of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea. minkyuahn@handong.edu.; School of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea. minkyuahn@handong.edu.
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  Data: <searchLink fieldCode="JN" term="%22101640192%22">Scientific data</searchLink> [Sci Data] 2026 Mar 05; Vol. 13 (1). <i>Date of Electronic Publication: </i>2026 Mar 05.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101640192 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2052-4463 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220524463%22">20524463 </searchLink><i>NLM ISO Abbreviation: </i>Sci Data <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1038/s41597-026-06962-5
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      – Code: eng
        Text: English
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      – TitleFull: EEG dataset of consumer- and research-grade systems.
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            – D: 05
              M: 03
              Text: 2026 Mar 05
              Type: published
              Y: 2026
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