Geological record of prehistoric tsunamis in Mugi town, facing the Nankai Trough, western Japan View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-12

AUTHORS

Yumi Shimada, Shigehiro Fujino, Yuki Sawai, Koichiro Tanigawa, Dan Matsumoto, Arata Momohara, Megumi Saito-Kato, Masaki Yamada, Eri Hirayama, Takahiro Suzuki, Catherine Chagué

ABSTRACT

Stratigraphic and paleontological investigations in Mugi Town, on the Pacific coast of Shikoku Island, revealed evidence of as many as five tsunami inundations from events along the Nankai Trough between 5581 and 3640 cal yr BP. Nine event deposits (E1–E9) were identified in cores ranging in length from 2 to 6 m, consisting of sandy and gravelly layers interbedded with organic-rich mud. Sedimentary structures in the event deposits observed by computed tomography included normal grading and sharp lower stratigraphic contacts. Event deposits E3, E6, E7, and E8 contained mainly brackish-marine diatom species, suggesting that they had been deposited during inundation by seawater. In addition, fossil diatom assemblages were markedly different above and below event deposits E3, E4, E6, and E8. For example, assemblages below event deposit E6 were dominated by a freshwater species (Ulnaria acus), whereas assemblages above it were predominantly brackish-marine (Diploneis smithii, Fallacia forcipata, and Fallacia tenera). We attributed these changes to the increase of marine influence due to coastal subsidence associated with subduction-zone earthquakes, as documented in the 1946 Showa-Nankai earthquakes. We conclude that event deposits E3, E6, and E8 and perhaps E4 and E7 were deposited by tsunamis generated by subduction zone earthquakes along the Nankai Trough. The ages of these event deposits, as constrained by ten radiocarbon ages, suggest that some of the tsunamis that impacted Mugi Town were correlated with those reported elsewhere along the Nankai Trough, thereby complementing the existing but still incomplete geological record for these events. More... »

PAGES

33

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s40645-019-0279-9

DOI

http://dx.doi.org/10.1186/s40645-019-0279-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113205232


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0403", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Geology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/04", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Earth Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Geological Survey of Japan", 
          "id": "https://www.grid.ac/institutes/grid.466781.a", 
          "name": [
            "Graduate School of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, 305-8572, Tsukuba, Ibaraki, Japan", 
            "Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1-C7 Higashi, 305-8567, Tsukuba, Ibaraki, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shimada", 
        "givenName": "Yumi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tsukuba", 
          "id": "https://www.grid.ac/institutes/grid.20515.33", 
          "name": [
            "Faculty of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, 305-8572, Tsukuba, Ibaraki, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fujino", 
        "givenName": "Shigehiro", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Geological Survey of Japan", 
          "id": "https://www.grid.ac/institutes/grid.466781.a", 
          "name": [
            "Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1-C7 Higashi, 305-8567, Tsukuba, Ibaraki, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sawai", 
        "givenName": "Yuki", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Geological Survey of Japan", 
          "id": "https://www.grid.ac/institutes/grid.466781.a", 
          "name": [
            "Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1-C7 Higashi, 305-8567, Tsukuba, Ibaraki, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tanigawa", 
        "givenName": "Koichiro", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Geological Survey of Japan", 
          "id": "https://www.grid.ac/institutes/grid.466781.a", 
          "name": [
            "Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1-C7 Higashi, 305-8567, Tsukuba, Ibaraki, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Matsumoto", 
        "givenName": "Dan", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chiba University", 
          "id": "https://www.grid.ac/institutes/grid.136304.3", 
          "name": [
            "Graduate School of Horticulture, Chiba University, 648 Matsudo, 271-8510, Matsudo, Chiba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Momohara", 
        "givenName": "Arata", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Museum of Nature and Science", 
          "id": "https://www.grid.ac/institutes/grid.410801.c", 
          "name": [
            "Department of Geology and Paleontology, National Museum of Nature and Science, 4-1-1 Amakubo, 305-0005, Tsukuba, Ibaraki, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Saito-Kato", 
        "givenName": "Megumi", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Earthquake Research Institute, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, 113-0032, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamada", 
        "givenName": "Masaki", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tsukuba", 
          "id": "https://www.grid.ac/institutes/grid.20515.33", 
          "name": [
            "Graduate School of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, 305-8572, Tsukuba, Ibaraki, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hirayama", 
        "givenName": "Eri", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tsukuba", 
          "id": "https://www.grid.ac/institutes/grid.20515.33", 
          "name": [
            "Graduate School of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, 305-8572, Tsukuba, Ibaraki, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Suzuki", 
        "givenName": "Takahiro", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "UNSW Australia", 
          "id": "https://www.grid.ac/institutes/grid.1005.4", 
          "name": [
            "School of Biological, Earth and Environmental Sciences, UNSW Sydney, 2052, Sydney, NSW, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chagu\u00e9", 
        "givenName": "Catherine", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.sedgeo.2012.06.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000442945"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature07374", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001127443", 
          "https://doi.org/10.1038/nature07374"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature01864", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001956476", 
          "https://doi.org/10.1038/nature01864"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature01864", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001956476", 
          "https://doi.org/10.1038/nature01864"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.sedgeo.2012.07.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002451133"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.sedgeo.2012.05.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005376897"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2007jb005503", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006387348"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4096/jssj.72.13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008832357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1785/gssrl.75.1.117", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009088614"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.sedgeo.2012.07.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012349665"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5575/geosoc.115.s21", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013521243"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4116/jaqua.30.187", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016179717"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0959683608089206", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019289468"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0959683608089206", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019289468"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2216/i0031-8884-38-1-8.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020731171"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature07373", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022806735", 
          "https://doi.org/10.1038/nature07373"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.nimb.2007.01.184", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024225059"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4116/jaqua.27.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024430051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jqs.2923", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026404863"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-3121.2008.00799.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026900470"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.earscirev.2016.06.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029223728"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.earscirev.2016.06.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029223728"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1440-1738.2010.00732.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030758597"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1440-1738.2010.00732.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030758597"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1440-1738.2008.00626.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032774537"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0168-583x(00)00361-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032830553"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.marmicro.2009.07.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032958322"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.marmicro.2009.07.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032958322"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.margeo.2007.10.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034539986"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.sedgeo.2007.01.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035931889"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.yqres.2006.09.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036633509"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5026/jgeography.106.59", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037039747"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0025-3227(03)00352-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037336487"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5575/geosoc.2016.0007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038723267"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/95tc01929", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039992345"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2012gl053692", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040608805"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/bf03352380", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040927483", 
          "https://doi.org/10.1186/bf03352380"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/iar.12161", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044422576"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.quascirev.2008.01.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045165172"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1785/gssrl.80.3.431", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045309102"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.quascirev.2004.11.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045872893"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4096/jssj1995.49.13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047988670"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5141/ecoenv.2013.371", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048233425"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.sedgeo.2005.12.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049177054"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.quascirev.2005.09.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049906317"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.quascirev.2005.09.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049906317"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5575/geosoc.87.277", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050153203"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3719/weed.40.221", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052237729"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/629488", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058825270"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1104895", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062451175"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1130/g32043.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062734292"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/095968369600600406", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063899417"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/095968369600600406", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063899417"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2458/azu_js_rc.55.16947", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070760615"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4294/zisin1948.43.4_513", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084989732"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/rdc.2017.108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092831631"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0959683617752837", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100611361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0959683617752837", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100611361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.quascirev.2018.09.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107793611"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.quascirev.2018.09.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107793611"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "Stratigraphic and paleontological investigations in Mugi Town, on the Pacific coast of Shikoku Island, revealed evidence of as many as five tsunami inundations from events along the Nankai Trough between 5581 and 3640 cal yr BP. Nine event deposits (E1\u2013E9) were identified in cores ranging in length from 2 to 6 m, consisting of sandy and gravelly layers interbedded with organic-rich mud. Sedimentary structures in the event deposits observed by computed tomography included normal grading and sharp lower stratigraphic contacts. Event deposits E3, E6, E7, and E8 contained mainly brackish-marine diatom species, suggesting that they had been deposited during inundation by seawater. In addition, fossil diatom assemblages were markedly different above and below event deposits E3, E4, E6, and E8. For example, assemblages below event deposit E6 were dominated by a freshwater species (Ulnaria acus), whereas assemblages above it were predominantly brackish-marine (Diploneis smithii, Fallacia forcipata, and Fallacia tenera). We attributed these changes to the increase of marine influence due to coastal subsidence associated with subduction-zone earthquakes, as documented in the 1946 Showa-Nankai earthquakes. We conclude that event deposits E3, E6, and E8 and perhaps E4 and E7 were deposited by tsunamis generated by subduction zone earthquakes along the Nankai Trough. The ages of these event deposits, as constrained by ten radiocarbon ages, suggest that some of the tsunamis that impacted Mugi Town were correlated with those reported elsewhere along the Nankai Trough, thereby complementing the existing but still incomplete geological record for these events. ", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s40645-019-0279-9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.5919354", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1136393", 
        "issn": [
          "2197-4284"
        ], 
        "name": "Progress in Earth and Planetary Science", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "6"
      }
    ], 
    "name": "Geological record of prehistoric tsunamis in Mugi town, facing the Nankai Trough, western Japan", 
    "pagination": "33", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s40645-019-0279-9"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "c118df2ff2ff8255cfd8edd63a5a763c9f6c28e49e7b5156fe4589fcb8923695"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1113205232"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s40645-019-0279-9", 
      "https://app.dimensions.ai/details/publication/pub.1113205232"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-15T09:24", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000376_0000000376/records_56190_00000006.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs40645-019-0279-9"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s40645-019-0279-9'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s40645-019-0279-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s40645-019-0279-9'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s40645-019-0279-9'


 

This table displays all metadata directly associated to this object as RDF triples.

295 TRIPLES      21 PREDICATES      78 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s40645-019-0279-9 schema:about anzsrc-for:04
2 anzsrc-for:0403
3 schema:author N5385a8851617460c8bee8a694ddeedc9
4 schema:citation sg:pub.10.1038/nature01864
5 sg:pub.10.1038/nature07373
6 sg:pub.10.1038/nature07374
7 sg:pub.10.1186/bf03352380
8 https://doi.org/10.1002/jqs.2923
9 https://doi.org/10.1016/j.earscirev.2016.06.011
10 https://doi.org/10.1016/j.margeo.2007.10.011
11 https://doi.org/10.1016/j.marmicro.2009.07.003
12 https://doi.org/10.1016/j.nimb.2007.01.184
13 https://doi.org/10.1016/j.quascirev.2004.11.003
14 https://doi.org/10.1016/j.quascirev.2005.09.002
15 https://doi.org/10.1016/j.quascirev.2008.01.001
16 https://doi.org/10.1016/j.quascirev.2018.09.026
17 https://doi.org/10.1016/j.sedgeo.2005.12.024
18 https://doi.org/10.1016/j.sedgeo.2007.01.003
19 https://doi.org/10.1016/j.sedgeo.2012.05.004
20 https://doi.org/10.1016/j.sedgeo.2012.06.003
21 https://doi.org/10.1016/j.sedgeo.2012.07.004
22 https://doi.org/10.1016/j.sedgeo.2012.07.019
23 https://doi.org/10.1016/j.yqres.2006.09.003
24 https://doi.org/10.1016/s0025-3227(03)00352-9
25 https://doi.org/10.1016/s0168-583x(00)00361-x
26 https://doi.org/10.1017/rdc.2017.108
27 https://doi.org/10.1029/2007jb005503
28 https://doi.org/10.1029/2012gl053692
29 https://doi.org/10.1029/95tc01929
30 https://doi.org/10.1086/629488
31 https://doi.org/10.1111/iar.12161
32 https://doi.org/10.1111/j.1365-3121.2008.00799.x
33 https://doi.org/10.1111/j.1440-1738.2008.00626.x
34 https://doi.org/10.1111/j.1440-1738.2010.00732.x
35 https://doi.org/10.1126/science.1104895
36 https://doi.org/10.1130/g32043.1
37 https://doi.org/10.1177/0959683608089206
38 https://doi.org/10.1177/0959683617752837
39 https://doi.org/10.1177/095968369600600406
40 https://doi.org/10.1785/gssrl.75.1.117
41 https://doi.org/10.1785/gssrl.80.3.431
42 https://doi.org/10.2216/i0031-8884-38-1-8.1
43 https://doi.org/10.2458/azu_js_rc.55.16947
44 https://doi.org/10.3719/weed.40.221
45 https://doi.org/10.4096/jssj.72.13
46 https://doi.org/10.4096/jssj1995.49.13
47 https://doi.org/10.4116/jaqua.27.1
48 https://doi.org/10.4116/jaqua.30.187
49 https://doi.org/10.4294/zisin1948.43.4_513
50 https://doi.org/10.5026/jgeography.106.59
51 https://doi.org/10.5141/ecoenv.2013.371
52 https://doi.org/10.5575/geosoc.115.s21
53 https://doi.org/10.5575/geosoc.2016.0007
54 https://doi.org/10.5575/geosoc.87.277
55 schema:datePublished 2019-12
56 schema:datePublishedReg 2019-12-01
57 schema:description Stratigraphic and paleontological investigations in Mugi Town, on the Pacific coast of Shikoku Island, revealed evidence of as many as five tsunami inundations from events along the Nankai Trough between 5581 and 3640 cal yr BP. Nine event deposits (E1–E9) were identified in cores ranging in length from 2 to 6 m, consisting of sandy and gravelly layers interbedded with organic-rich mud. Sedimentary structures in the event deposits observed by computed tomography included normal grading and sharp lower stratigraphic contacts. Event deposits E3, E6, E7, and E8 contained mainly brackish-marine diatom species, suggesting that they had been deposited during inundation by seawater. In addition, fossil diatom assemblages were markedly different above and below event deposits E3, E4, E6, and E8. For example, assemblages below event deposit E6 were dominated by a freshwater species (Ulnaria acus), whereas assemblages above it were predominantly brackish-marine (Diploneis smithii, Fallacia forcipata, and Fallacia tenera). We attributed these changes to the increase of marine influence due to coastal subsidence associated with subduction-zone earthquakes, as documented in the 1946 Showa-Nankai earthquakes. We conclude that event deposits E3, E6, and E8 and perhaps E4 and E7 were deposited by tsunamis generated by subduction zone earthquakes along the Nankai Trough. The ages of these event deposits, as constrained by ten radiocarbon ages, suggest that some of the tsunamis that impacted Mugi Town were correlated with those reported elsewhere along the Nankai Trough, thereby complementing the existing but still incomplete geological record for these events.
58 schema:genre research_article
59 schema:inLanguage en
60 schema:isAccessibleForFree false
61 schema:isPartOf N07c2591f84044391982730792ea9c5a4
62 Nc844b6d12ae1442c8a6e94e4c0234cec
63 sg:journal.1136393
64 schema:name Geological record of prehistoric tsunamis in Mugi town, facing the Nankai Trough, western Japan
65 schema:pagination 33
66 schema:productId N072cdc4fccd54ff98cf4cdb09c2d4ebf
67 N0d301f593e8f4bbdb64849a42b34b3d4
68 N739cba3fb753404fa32398d50cb7f2a8
69 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113205232
70 https://doi.org/10.1186/s40645-019-0279-9
71 schema:sdDatePublished 2019-04-15T09:24
72 schema:sdLicense https://scigraph.springernature.com/explorer/license/
73 schema:sdPublisher Nc7a3e327e0de42e08a4a00b5f7971318
74 schema:url https://link.springer.com/10.1186%2Fs40645-019-0279-9
75 sgo:license sg:explorer/license/
76 sgo:sdDataset articles
77 rdf:type schema:ScholarlyArticle
78 N00ff5324887f453288706ad3c6f00c26 schema:affiliation https://www.grid.ac/institutes/grid.466781.a
79 schema:familyName Matsumoto
80 schema:givenName Dan
81 rdf:type schema:Person
82 N0424f7447d744bfdb22fa09db4cb0325 rdf:first N00ff5324887f453288706ad3c6f00c26
83 rdf:rest Nafc4db8f37f341629b7fbea5f56f075e
84 N0653cef0525d433a8369d179b2e2df46 rdf:first N126b2f8056474cca8b0b28d9290d120b
85 rdf:rest Nd35e5ffe678046118256d8fa4f080591
86 N072cdc4fccd54ff98cf4cdb09c2d4ebf schema:name dimensions_id
87 schema:value pub.1113205232
88 rdf:type schema:PropertyValue
89 N07c2591f84044391982730792ea9c5a4 schema:issueNumber 1
90 rdf:type schema:PublicationIssue
91 N07d011cf0d7341adae0c20ee5e2e63e1 schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
92 schema:familyName Yamada
93 schema:givenName Masaki
94 rdf:type schema:Person
95 N0d301f593e8f4bbdb64849a42b34b3d4 schema:name doi
96 schema:value 10.1186/s40645-019-0279-9
97 rdf:type schema:PropertyValue
98 N126b2f8056474cca8b0b28d9290d120b schema:affiliation https://www.grid.ac/institutes/grid.466781.a
99 schema:familyName Sawai
100 schema:givenName Yuki
101 rdf:type schema:Person
102 N211a1b17b3d3478a91709df043ed043d rdf:first Nf85bd4a22d584f3a9b2f7f27e8c59f64
103 rdf:rest Nfd96061ae7564cb6bbe4d50e8169406b
104 N31f22f11d9d7436897ca91197d146fa9 rdf:first N6e3bc1b071874a29b25472a3d1da6875
105 rdf:rest rdf:nil
106 N36b79e1ee4fa45989762e1fb821217cb rdf:first N60dc8d37561541ed9e6a89d26a7c2e10
107 rdf:rest N31f22f11d9d7436897ca91197d146fa9
108 N5385a8851617460c8bee8a694ddeedc9 rdf:first N7f6bd41723d54388a0fc17cf95069307
109 rdf:rest N966207c5538a46d8b33f3f015d482b7e
110 N5aafef2f8e034b408f051869e404fede schema:affiliation https://www.grid.ac/institutes/grid.20515.33
111 schema:familyName Fujino
112 schema:givenName Shigehiro
113 rdf:type schema:Person
114 N60dc8d37561541ed9e6a89d26a7c2e10 schema:affiliation https://www.grid.ac/institutes/grid.20515.33
115 schema:familyName Suzuki
116 schema:givenName Takahiro
117 rdf:type schema:Person
118 N6e3bc1b071874a29b25472a3d1da6875 schema:affiliation https://www.grid.ac/institutes/grid.1005.4
119 schema:familyName Chagué
120 schema:givenName Catherine
121 rdf:type schema:Person
122 N739cba3fb753404fa32398d50cb7f2a8 schema:name readcube_id
123 schema:value c118df2ff2ff8255cfd8edd63a5a763c9f6c28e49e7b5156fe4589fcb8923695
124 rdf:type schema:PropertyValue
125 N7f6bd41723d54388a0fc17cf95069307 schema:affiliation https://www.grid.ac/institutes/grid.466781.a
126 schema:familyName Shimada
127 schema:givenName Yumi
128 rdf:type schema:Person
129 N804a18a12f024a4591c9196ae289c0c3 schema:affiliation https://www.grid.ac/institutes/grid.20515.33
130 schema:familyName Hirayama
131 schema:givenName Eri
132 rdf:type schema:Person
133 N87a19859a95047539295edf9c0f68e45 rdf:first N804a18a12f024a4591c9196ae289c0c3
134 rdf:rest N36b79e1ee4fa45989762e1fb821217cb
135 N966207c5538a46d8b33f3f015d482b7e rdf:first N5aafef2f8e034b408f051869e404fede
136 rdf:rest N0653cef0525d433a8369d179b2e2df46
137 N97ff3c19badf4195b3586f2adbb70c6d schema:affiliation https://www.grid.ac/institutes/grid.466781.a
138 schema:familyName Tanigawa
139 schema:givenName Koichiro
140 rdf:type schema:Person
141 Nafc4db8f37f341629b7fbea5f56f075e rdf:first Nd626d91e6fb04263864ab88f164e1ce0
142 rdf:rest N211a1b17b3d3478a91709df043ed043d
143 Nc7a3e327e0de42e08a4a00b5f7971318 schema:name Springer Nature - SN SciGraph project
144 rdf:type schema:Organization
145 Nc844b6d12ae1442c8a6e94e4c0234cec schema:volumeNumber 6
146 rdf:type schema:PublicationVolume
147 Nd35e5ffe678046118256d8fa4f080591 rdf:first N97ff3c19badf4195b3586f2adbb70c6d
148 rdf:rest N0424f7447d744bfdb22fa09db4cb0325
149 Nd626d91e6fb04263864ab88f164e1ce0 schema:affiliation https://www.grid.ac/institutes/grid.136304.3
150 schema:familyName Momohara
151 schema:givenName Arata
152 rdf:type schema:Person
153 Nf85bd4a22d584f3a9b2f7f27e8c59f64 schema:affiliation https://www.grid.ac/institutes/grid.410801.c
154 schema:familyName Saito-Kato
155 schema:givenName Megumi
156 rdf:type schema:Person
157 Nfd96061ae7564cb6bbe4d50e8169406b rdf:first N07d011cf0d7341adae0c20ee5e2e63e1
158 rdf:rest N87a19859a95047539295edf9c0f68e45
159 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
160 schema:name Earth Sciences
161 rdf:type schema:DefinedTerm
162 anzsrc-for:0403 schema:inDefinedTermSet anzsrc-for:
163 schema:name Geology
164 rdf:type schema:DefinedTerm
165 sg:grant.5919354 http://pending.schema.org/fundedItem sg:pub.10.1186/s40645-019-0279-9
166 rdf:type schema:MonetaryGrant
167 sg:journal.1136393 schema:issn 2197-4284
168 schema:name Progress in Earth and Planetary Science
169 rdf:type schema:Periodical
170 sg:pub.10.1038/nature01864 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001956476
171 https://doi.org/10.1038/nature01864
172 rdf:type schema:CreativeWork
173 sg:pub.10.1038/nature07373 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022806735
174 https://doi.org/10.1038/nature07373
175 rdf:type schema:CreativeWork
176 sg:pub.10.1038/nature07374 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001127443
177 https://doi.org/10.1038/nature07374
178 rdf:type schema:CreativeWork
179 sg:pub.10.1186/bf03352380 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040927483
180 https://doi.org/10.1186/bf03352380
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1002/jqs.2923 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026404863
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/j.earscirev.2016.06.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029223728
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1016/j.margeo.2007.10.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034539986
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1016/j.marmicro.2009.07.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032958322
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1016/j.nimb.2007.01.184 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024225059
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1016/j.quascirev.2004.11.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045872893
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1016/j.quascirev.2005.09.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049906317
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1016/j.quascirev.2008.01.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045165172
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1016/j.quascirev.2018.09.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107793611
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1016/j.sedgeo.2005.12.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049177054
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1016/j.sedgeo.2007.01.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035931889
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1016/j.sedgeo.2012.05.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005376897
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1016/j.sedgeo.2012.06.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000442945
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1016/j.sedgeo.2012.07.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002451133
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1016/j.sedgeo.2012.07.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012349665
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1016/j.yqres.2006.09.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036633509
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1016/s0025-3227(03)00352-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037336487
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1016/s0168-583x(00)00361-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1032830553
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1017/rdc.2017.108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092831631
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1029/2007jb005503 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006387348
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1029/2012gl053692 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040608805
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1029/95tc01929 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039992345
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1086/629488 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058825270
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1111/iar.12161 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044422576
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1111/j.1365-3121.2008.00799.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1026900470
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1111/j.1440-1738.2008.00626.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1032774537
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1111/j.1440-1738.2010.00732.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1030758597
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1126/science.1104895 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062451175
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1130/g32043.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062734292
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1177/0959683608089206 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019289468
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1177/0959683617752837 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100611361
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1177/095968369600600406 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063899417
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1785/gssrl.75.1.117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009088614
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1785/gssrl.80.3.431 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045309102
249 rdf:type schema:CreativeWork
250 https://doi.org/10.2216/i0031-8884-38-1-8.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020731171
251 rdf:type schema:CreativeWork
252 https://doi.org/10.2458/azu_js_rc.55.16947 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070760615
253 rdf:type schema:CreativeWork
254 https://doi.org/10.3719/weed.40.221 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052237729
255 rdf:type schema:CreativeWork
256 https://doi.org/10.4096/jssj.72.13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008832357
257 rdf:type schema:CreativeWork
258 https://doi.org/10.4096/jssj1995.49.13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047988670
259 rdf:type schema:CreativeWork
260 https://doi.org/10.4116/jaqua.27.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024430051
261 rdf:type schema:CreativeWork
262 https://doi.org/10.4116/jaqua.30.187 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016179717
263 rdf:type schema:CreativeWork
264 https://doi.org/10.4294/zisin1948.43.4_513 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084989732
265 rdf:type schema:CreativeWork
266 https://doi.org/10.5026/jgeography.106.59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037039747
267 rdf:type schema:CreativeWork
268 https://doi.org/10.5141/ecoenv.2013.371 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048233425
269 rdf:type schema:CreativeWork
270 https://doi.org/10.5575/geosoc.115.s21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013521243
271 rdf:type schema:CreativeWork
272 https://doi.org/10.5575/geosoc.2016.0007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038723267
273 rdf:type schema:CreativeWork
274 https://doi.org/10.5575/geosoc.87.277 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050153203
275 rdf:type schema:CreativeWork
276 https://www.grid.ac/institutes/grid.1005.4 schema:alternateName UNSW Australia
277 schema:name School of Biological, Earth and Environmental Sciences, UNSW Sydney, 2052, Sydney, NSW, Australia
278 rdf:type schema:Organization
279 https://www.grid.ac/institutes/grid.136304.3 schema:alternateName Chiba University
280 schema:name Graduate School of Horticulture, Chiba University, 648 Matsudo, 271-8510, Matsudo, Chiba, Japan
281 rdf:type schema:Organization
282 https://www.grid.ac/institutes/grid.20515.33 schema:alternateName University of Tsukuba
283 schema:name Faculty of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, 305-8572, Tsukuba, Ibaraki, Japan
284 Graduate School of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, 305-8572, Tsukuba, Ibaraki, Japan
285 rdf:type schema:Organization
286 https://www.grid.ac/institutes/grid.26999.3d schema:alternateName University of Tokyo
287 schema:name Earthquake Research Institute, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, 113-0032, Tokyo, Japan
288 rdf:type schema:Organization
289 https://www.grid.ac/institutes/grid.410801.c schema:alternateName National Museum of Nature and Science
290 schema:name Department of Geology and Paleontology, National Museum of Nature and Science, 4-1-1 Amakubo, 305-0005, Tsukuba, Ibaraki, Japan
291 rdf:type schema:Organization
292 https://www.grid.ac/institutes/grid.466781.a schema:alternateName Geological Survey of Japan
293 schema:name Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1-C7 Higashi, 305-8567, Tsukuba, Ibaraki, Japan
294 Graduate School of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, 305-8572, Tsukuba, Ibaraki, Japan
295 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...