Numerical data of probabilistic 3D lithological map of Japanese crust

Nozomu Takeuchi, Kenta Ueki, Tsuyoshi Iizuka, Jun Nagao, Akiko Tanaka, Sanshiro Enomoto, Yutaka Shirahata, Hiroko Watanabe, Makoto Yamano, Hiroyuki Tanaka

Research output: Contribution to journalArticlepeer-review

Abstract

The 3D lithological distribution model presented in this data article is related to “Stochastic modeling of 3-D compositional distribution in the crust with Bayesian inference and application to geoneutrino observation in Japan” by Takeuchi et al. (2019) [1]. Our target region is set to the crust and uppermost mantle beneath Japanese main islands and their vicinity. We discretized the target region into 79,968 grid points. We defined 31 rock types; 29 major crustal rock types, plus sediment and mantle. Our lithology model represents a probabilistic distribution map inferred from a seismic tomography model and allows quantitative studies with error estimations, making it fundamentally different from previous models. To enable such quantitative applications, we provide explicit numerical data for the probabilities of the 31 rock types for each grid point. We also provide explicit values of the bulk proportion lithology model at various depths and for the bulk whole crust. Further, a figure of synthetic gravity data is presented to correct a minor error in the related paper [1].

Original languageEnglish
Article number104497
JournalData in Brief
Volume26
DOIs
Publication statusPublished - 2019 Oct

Keywords

  • Bayesian
  • Crustal lithology
  • Crustal structure
  • Geoneutrinos
  • Rock composition

ASJC Scopus subject areas

  • General

Fingerprint Dive into the research topics of 'Numerical data of probabilistic 3D lithological map of Japanese crust'. Together they form a unique fingerprint.

Cite this