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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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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]. |
format | Online Article Text |
id | pubmed-6811987 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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