  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.
