Core Concepts
Automated tabular extraction enhances efficiency in compiling Sm-Nd isotope data from geoscientific literature.
Abstract
Abstract:
Sm and Nd isotopes address crustal growth questions.
Historical data dissemination challenges due to sampling procedures.
Automated tabular extraction method presented.
Background & Summary:
Importance of Sm-Nd isotopic system in understanding geological phenomena.
Challenges in determining formation time of continental crustal protoliths.
Significance of Sm-Nd isotopes in various geological studies.
Methods:
Document retrieval using metadata extraction and keyword querying.
Tabular data collection through region detection, text detection, and structure recognition.
Data processing including localization, augmentation, and standardization.
Data Records:
Availability of collected data on Figshare repository.
Detailed description of manually annotated data points.
Extensive datasets for various orogens provided.
Technical Validation:
Consistency validation of Sm-Nd data across orogenic belts.
Distribution validation of sample distributions within isotopic domains.
Efficiency Evaluation:
Comparison of manual vs. automatic data collection methods.
Analysis of data filling rate and time consumption.
Limitations:
Challenges faced during automatic data collection process.
Usage Notes:
Sm-Nd isotope dataset valuable for orogenic studies.
Automated tabular extraction method enhances data collection efficiency.
Stats
We collect 10,624 Sm-Nd data entries from 9,138 tables in over 20,000 geoscience publications using this method.
For the computation of Nd values, we adopted the chondritic standards, precisely 143Nd/144NdCHUR = 0.512638, 147Sm/144NdCHUR = 0.196715954, 143Nd/144NdDM = 0.51315, and 147Sm/144NdDM = 0.21372.
Quotes
"The constructed Sm-Nd isotopic dataset should motivate the research of classifying global orogenic belts."