Articles | Volume 18, issue 5
https://doi.org/10.5194/essd-18-3671-2026
https://doi.org/10.5194/essd-18-3671-2026
Data description article
 | 
01 Jun 2026
Data description article |  | 01 Jun 2026

OneDZ: a global detrital zircon database and implications for constructing giant geoscience database

Keran Li, Xiumian Hu, Rong Chai, Jianghai Yang, Weiwei Xue, Yingdi Pan, Taiyang Li, Can Fang, Anlin Ma, Hu Huang, Qianqian Guo, Wentao Yang, Lisha Hu, Liang Qi, Guohui Chen, Gaoyuan Sun, Shijie Zhang, Tao Deng, Kuizhou Li, Jiaopeng Sun, and Biao Gao

Data sets

Data source for LLM-driven agents part for OneDZ: A Global Detrital Zircon Database and Implications for Constructing Giant Geoscience Database Keran Li https://doi.org/10.5281/zenodo.19691004

OneDZ: A Global Detrital Zircon Database and Implications for Constructing Giant Geoscience Database Keran Li et al. https://doi.org/10.5281/zenodo.17407937

OneDZ: A Global Detrital Zircon Database and Implications for Constructing Giant Geoscience Database Keran Li et al. https://doi.org/10.5281/zenodo.19690702

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Short summary
OneDZ is a global detrital zircon database comprising 2.7 million uranium-lead and 200 thousand lutetium-hafnium isotopic records. Artificial intelligence, large language model agents, and custom code were employed to develop tools for big data evaluation, enhancing database functionality and offering new insights into managing large-scale unstructured geoscience data.
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