1연구원, 강원대학교 과학교육학부, 강원특별자치도 춘천시 강원대학길 1, 24341, 대한민국
2박사과정, 강원대학교 스마트지역혁신학과, 강원특별자치도 춘천시 강원대학길 1, 24341, 대한민국
3책임연구원, 한국지질자원연구원 지질자원데이터센터, 대전광역시 유성구 과학로 124, 34132, 대한민국
1Researcher, Department of Science Education, Kangwon National University, 1 Gangwondaehak-gil, Chuncheon, 24341 Gangwon-do, South Korea
2Ph.D. Candidate, Department of Smart Regional Innovation, Kangwon National University, 1 Gangwondaehak-gil, Chuncheon, 24341 Gangwon-do, South Korea
3Principal Researcher, Korea Institute of Geoscience and Mineral Resources, 124 Gwahak-ro, Yuseong-gu, 34132 Daejeon, South Korea
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Conflict of Interest
Saro Lee has been an Editorial Board of GEO DATA; however, he was not involved in the peer reviewer selection, evaluation, or decision process of this paper. Otherwise, no other potential conflicts of interest relevant to this paper were reported.
Funding Information
This work was supported by the “Construction of Artificial Intelligence Training Data; 2-93. Exploration Data of Greenhouse Gas Geologic Storage, 2022” grant funded by the National Information Society Agency and Ministry of Science and ICT. This work was also supported by Basic Research Project of the Korea Institute of Geoscience and Mineral Resources (KIGAM).
Data Availability Statement
The data that support the findings of this study are openly available in AI Hub at https://aihub.or.kr/, reference number. The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.