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Numerical data of probabilistic 3D lithological map of Japanese crust

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 an...

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Autores principales: Takeuchi, Nozomu, Ueki, Kenta, Iizuka, Tsuyoshi, Nagao, Jun, Tanaka, Akiko, Enomoto, Sanshiro, Shirahata, Yutaka, Watanabe, Hiroko, Yamano, Makoto, Tanaka, Hiroyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811987/
https://www.ncbi.nlm.nih.gov/pubmed/31667260
http://dx.doi.org/10.1016/j.dib.2019.104497
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author Takeuchi, Nozomu
Ueki, Kenta
Iizuka, Tsuyoshi
Nagao, Jun
Tanaka, Akiko
Enomoto, Sanshiro
Shirahata, Yutaka
Watanabe, Hiroko
Yamano, Makoto
Tanaka, Hiroyuki
author_facet Takeuchi, Nozomu
Ueki, Kenta
Iizuka, Tsuyoshi
Nagao, Jun
Tanaka, Akiko
Enomoto, Sanshiro
Shirahata, Yutaka
Watanabe, Hiroko
Yamano, Makoto
Tanaka, Hiroyuki
author_sort Takeuchi, Nozomu
collection PubMed
description 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].
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spelling pubmed-68119872019-10-30 Numerical data of probabilistic 3D lithological map of Japanese crust Takeuchi, Nozomu Ueki, Kenta Iizuka, Tsuyoshi Nagao, Jun Tanaka, Akiko Enomoto, Sanshiro Shirahata, Yutaka Watanabe, Hiroko Yamano, Makoto Tanaka, Hiroyuki Data Brief Earth and Planetary Science 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]. Elsevier 2019-09-11 /pmc/articles/PMC6811987/ /pubmed/31667260 http://dx.doi.org/10.1016/j.dib.2019.104497 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Earth and Planetary Science
Takeuchi, Nozomu
Ueki, Kenta
Iizuka, Tsuyoshi
Nagao, Jun
Tanaka, Akiko
Enomoto, Sanshiro
Shirahata, Yutaka
Watanabe, Hiroko
Yamano, Makoto
Tanaka, Hiroyuki
Numerical data of probabilistic 3D lithological map of Japanese crust
title Numerical data of probabilistic 3D lithological map of Japanese crust
title_full Numerical data of probabilistic 3D lithological map of Japanese crust
title_fullStr Numerical data of probabilistic 3D lithological map of Japanese crust
title_full_unstemmed Numerical data of probabilistic 3D lithological map of Japanese crust
title_short Numerical data of probabilistic 3D lithological map of Japanese crust
title_sort numerical data of probabilistic 3d lithological map of japanese crust
topic Earth and Planetary Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811987/
https://www.ncbi.nlm.nih.gov/pubmed/31667260
http://dx.doi.org/10.1016/j.dib.2019.104497
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