Sm-Nd Isotope Data Compilation from Geoscientific Literature Using an Automated Tabular Extraction Method
<|reference_start|>Sm-Nd Isotope Data Compilation from Geoscientific Literature Using an Automated Tabular Extraction Method: The rare earth elements Sm and Nd significantly address fundamental questions about crustal growth, such as its spatiotemporal evolution and the interplay between orogenesis and crustal accretion. Their relative immobility during high-grade metamorphism makes the Sm-Nd isotopic system crucial for inferring crustal formation times. Historically, data have been disseminated sporadically in the scientific literature due to complicated and costly sampling procedures, resulting in a fragmented knowledge base. However, the scattering of critical geoscience data across multiple publications poses significant challenges regarding human capital and time. In response, we present an automated tabular extraction method for harvesting tabular geoscience data. We collect 10,624 Sm-Nd data entries from 9,138 tables in over 20,000 geoscience publications using this method. We manually selected 2,118 data points from it to supplement our previously constructed global Sm-Nd dataset, increasing its sample count by over 20\%. Our automatic data collection methodology enhances the efficiency of data acquisition processes spanning various scientific domains. Furthermore, the constructed Sm-Nd isotopic dataset should motivate the research of classifying global orogenic belts.<|reference_end|>
@article{guo2024sm-nd,
    title={Sm-Nd Isotope Data Compilation from Geoscientific Literature Using an
  Automated Tabular Extraction Method},
    author={Zhixin Guo, Tao Wang, Chaoyang Wang, Jianping Zhou, Guanjie Zheng,
  Xinbing Wang, Chenghu Zhou},
    journal={arXiv preprint arXiv:2403.18306},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.18306},
    primaryClass={cs.DB}
}