Thermal maturity structures in an accretionary wedge by a numerical simulation View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Ayumu Miyakawa, Masataka Kinoshita, Yohei Hamada, Makoto Otsubo

ABSTRACT

This study investigates the thermal maturity structure of the accretionary wedge along with the thermal history of sediments during wedge formation using a numerical simulation. The thermal maturity, which is described in terms of vitrinite reflectance, is determined using the temperature and duration of exposure based on the particle trajectories within the accretionary wedge. This study revealed the variability in the thermal maturity even though sediments are observed to originate at an identical initial depth and thermal conditions. We propose two end-member pathways of sediment movement in the accretionary wedge during wedge growth: a shallow, low thermal maturity pathway and a deep, high thermal maturity pathway. These shallow path sediments, which move into the shallow portion of the wedge during wedge growth through accretion, rarely experience high temperatures; therefore, their thermal maturity is low. However, the sediments subducted in the deep portion of the wedge experience high temperatures and obtain high thermal maturity as a function of the deep high thermal maturity pathway. Simultaneously, a geological deformation event, such as faulting, defines the steps of thermal maturity. The small step of thermal maturity is formed by the frontal thrusting and can be preserved as a function of the shallow low thermal maturity pathway. However, the step is overprinted and is observed to disappear through the deep high thermal maturity pathway. The large step of thermal maturity is formed by long-term displacement along an out-of-sequence thrust (OOST) in the deep portion of the wedge. More... »

PAGES

8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s40645-018-0252-z

DOI

http://dx.doi.org/10.1186/s40645-018-0252-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111753630


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": [
            "Geological Survey of Japan, AIST, AIST Tsukuba Central 7, Higashi-1-1-1, 305-8567, Tsukuba, Ibaraki Pref., Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miyakawa", 
        "givenName": "Ayumu", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Tokyo", 
          "id": "https://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Earthquake Research Institute, University of Tokyo, 1-1-1 Yayoi, 113-0032, Bunkyo-ku, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kinoshita", 
        "givenName": "Masataka", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Japan Agency for Marine-Earth Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.410588.0", 
          "name": [
            "Kochi Institute for Core Sample Research, Japan Agency for Marine-Earth Science and Technology, 200 Monobe Otsu, 783-8502, Nankoku City, Kochi, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hamada", 
        "givenName": "Yohei", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Geological Survey of Japan", 
          "id": "https://www.grid.ac/institutes/grid.466781.a", 
          "name": [
            "Geological Survey of Japan, AIST, AIST Tsukuba Central 7, Higashi-1-1-1, 305-8567, Tsukuba, Ibaraki Pref., Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Otsubo", 
        "givenName": "Makoto", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.tecto.2016.11.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003860860"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/2016tc004383", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005370572"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tecto.2013.08.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007274437"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/91jb00295", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007459530"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/2014jb011455", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008309472"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00531-005-0035-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011609328", 
          "https://doi.org/10.1007/s00531-005-0035-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00531-005-0035-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011609328", 
          "https://doi.org/10.1007/s00531-005-0035-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00531-005-0035-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011609328", 
          "https://doi.org/10.1007/s00531-005-0035-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0040-1951(92)90117-o", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012279686"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0040-1951(92)90117-o", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012279686"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1144/gsl.sp.2006.253.01.09", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012692787"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/1999jb900136", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012818125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.epsl.2006.01.049", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013021325"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2006tc002064", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013723506"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00251079", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017400063", 
          "https://doi.org/10.1007/bf00251079"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00251079", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017400063", 
          "https://doi.org/10.1007/bf00251079"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/97jb03541", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020712014"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2004gc000794", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022943625"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/jb094ib04p03923", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024151855"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-246x.2002.01579.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028043041"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/92jb02279", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031247551"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1440-1738.1992.tb00064.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032345402"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1440-1738.1992.tb00064.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032345402"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1130/0091-7613(1996)024<0795:hpgwrs>2.3.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033583743"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1130/g23448a.1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033944317"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2004tc001635", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038914376"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2004tc001635", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038914376"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.marpetgeo.2013.11.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040290965"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tecto.2009.08.037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040770982"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1130/0091-7613(1993)021<0371:mmftto>2.3.co;2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040979457"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jgrb.50230", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045526580"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/93jb00782", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047146202"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1130/g20211.2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048921589"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1386-1425(03)00077-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051022214"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1386-1425(03)00077-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051022214"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/iar.12149", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052965366"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1306/0c9b251f-1710-11d7-8645000102c1865d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064924735"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1306/bdff8eca-1718-11d7-8645000102c1865d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064965667"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1680/geot.1979.29.1.47", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068209785"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1130/2007.2433(04)", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1088798910"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1130/spe273-p1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1088807106"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/2017gc006928", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090903124"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "This study investigates the thermal maturity structure of the accretionary wedge along with the thermal history of sediments during wedge formation using a numerical simulation. The thermal maturity, which is described in terms of vitrinite reflectance, is determined using the temperature and duration of exposure based on the particle trajectories within the accretionary wedge. This study revealed the variability in the thermal maturity even though sediments are observed to originate at an identical initial depth and thermal conditions. We propose two end-member pathways of sediment movement in the accretionary wedge during wedge growth: a shallow, low thermal maturity pathway and a deep, high thermal maturity pathway. These shallow path sediments, which move into the shallow portion of the wedge during wedge growth through accretion, rarely experience high temperatures; therefore, their thermal maturity is low. However, the sediments subducted in the deep portion of the wedge experience high temperatures and obtain high thermal maturity as a function of the deep high thermal maturity pathway. Simultaneously, a geological deformation event, such as faulting, defines the steps of thermal maturity. The small step of thermal maturity is formed by the frontal thrusting and can be preserved as a function of the shallow low thermal maturity pathway. However, the step is overprinted and is observed to disappear through the deep high thermal maturity pathway. The large step of thermal maturity is formed by long-term displacement along an out-of-sequence thrust (OOST) in the deep portion of the wedge. ", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s40645-018-0252-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6823202", 
        "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": "Thermal maturity structures in an accretionary wedge by a numerical simulation", 
    "pagination": "8", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "7ea0ce6497a7659863ad2208d7fb5819f73995717305a0f9245914743f8f0c4a"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s40645-018-0252-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111753630"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s40645-018-0252-z", 
      "https://app.dimensions.ai/details/publication/pub.1111753630"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:58", 
    "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/v90/0000000326_0000000326/records_68444_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs40645-018-0252-z"
  }
]
 

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/s40645-018-0252-z'

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/s40645-018-0252-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s40645-018-0252-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s40645-018-0252-z'


 

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

192 TRIPLES      21 PREDICATES      62 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s40645-018-0252-z schema:about anzsrc-for:04
2 anzsrc-for:0403
3 schema:author Nf1960c44c88f4a2a8247186b98496367
4 schema:citation sg:pub.10.1007/bf00251079
5 sg:pub.10.1007/s00531-005-0035-9
6 https://doi.org/10.1002/2014jb011455
7 https://doi.org/10.1002/2016tc004383
8 https://doi.org/10.1002/2017gc006928
9 https://doi.org/10.1002/jgrb.50230
10 https://doi.org/10.1016/0040-1951(92)90117-o
11 https://doi.org/10.1016/j.epsl.2006.01.049
12 https://doi.org/10.1016/j.marpetgeo.2013.11.008
13 https://doi.org/10.1016/j.tecto.2009.08.037
14 https://doi.org/10.1016/j.tecto.2013.08.015
15 https://doi.org/10.1016/j.tecto.2016.11.004
16 https://doi.org/10.1016/s1386-1425(03)00077-5
17 https://doi.org/10.1029/1999jb900136
18 https://doi.org/10.1029/2004gc000794
19 https://doi.org/10.1029/2004tc001635
20 https://doi.org/10.1029/2006tc002064
21 https://doi.org/10.1029/91jb00295
22 https://doi.org/10.1029/92jb02279
23 https://doi.org/10.1029/93jb00782
24 https://doi.org/10.1029/97jb03541
25 https://doi.org/10.1029/jb094ib04p03923
26 https://doi.org/10.1046/j.1365-246x.2002.01579.x
27 https://doi.org/10.1111/iar.12149
28 https://doi.org/10.1111/j.1440-1738.1992.tb00064.x
29 https://doi.org/10.1130/0091-7613(1993)021<0371:mmftto>2.3.co;2
30 https://doi.org/10.1130/0091-7613(1996)024<0795:hpgwrs>2.3.co;2
31 https://doi.org/10.1130/2007.2433(04)
32 https://doi.org/10.1130/g20211.2
33 https://doi.org/10.1130/g23448a.1
34 https://doi.org/10.1130/spe273-p1
35 https://doi.org/10.1144/gsl.sp.2006.253.01.09
36 https://doi.org/10.1306/0c9b251f-1710-11d7-8645000102c1865d
37 https://doi.org/10.1306/bdff8eca-1718-11d7-8645000102c1865d
38 https://doi.org/10.1680/geot.1979.29.1.47
39 schema:datePublished 2019-12
40 schema:datePublishedReg 2019-12-01
41 schema:description This study investigates the thermal maturity structure of the accretionary wedge along with the thermal history of sediments during wedge formation using a numerical simulation. The thermal maturity, which is described in terms of vitrinite reflectance, is determined using the temperature and duration of exposure based on the particle trajectories within the accretionary wedge. This study revealed the variability in the thermal maturity even though sediments are observed to originate at an identical initial depth and thermal conditions. We propose two end-member pathways of sediment movement in the accretionary wedge during wedge growth: a shallow, low thermal maturity pathway and a deep, high thermal maturity pathway. These shallow path sediments, which move into the shallow portion of the wedge during wedge growth through accretion, rarely experience high temperatures; therefore, their thermal maturity is low. However, the sediments subducted in the deep portion of the wedge experience high temperatures and obtain high thermal maturity as a function of the deep high thermal maturity pathway. Simultaneously, a geological deformation event, such as faulting, defines the steps of thermal maturity. The small step of thermal maturity is formed by the frontal thrusting and can be preserved as a function of the shallow low thermal maturity pathway. However, the step is overprinted and is observed to disappear through the deep high thermal maturity pathway. The large step of thermal maturity is formed by long-term displacement along an out-of-sequence thrust (OOST) in the deep portion of the wedge.
42 schema:genre research_article
43 schema:inLanguage en
44 schema:isAccessibleForFree true
45 schema:isPartOf Nc258466f782a4996a681f92a412df427
46 Nf01d2e5009e2413e8a106b95743d57d7
47 sg:journal.1136393
48 schema:name Thermal maturity structures in an accretionary wedge by a numerical simulation
49 schema:pagination 8
50 schema:productId N002f1b1f88c84d589e8cc9fde8577130
51 N3105ff8efac849c6939f6b6e7d156fd0
52 Nef85a99305b44c3a898c8e8f742de6ba
53 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111753630
54 https://doi.org/10.1186/s40645-018-0252-z
55 schema:sdDatePublished 2019-04-11T08:58
56 schema:sdLicense https://scigraph.springernature.com/explorer/license/
57 schema:sdPublisher Nf55d2a7077884861816548cac72de68d
58 schema:url https://link.springer.com/10.1186%2Fs40645-018-0252-z
59 sgo:license sg:explorer/license/
60 sgo:sdDataset articles
61 rdf:type schema:ScholarlyArticle
62 N002f1b1f88c84d589e8cc9fde8577130 schema:name readcube_id
63 schema:value 7ea0ce6497a7659863ad2208d7fb5819f73995717305a0f9245914743f8f0c4a
64 rdf:type schema:PropertyValue
65 N1c7147b37393461abc21436c7d6cdd9a schema:affiliation https://www.grid.ac/institutes/grid.26999.3d
66 schema:familyName Kinoshita
67 schema:givenName Masataka
68 rdf:type schema:Person
69 N3105ff8efac849c6939f6b6e7d156fd0 schema:name dimensions_id
70 schema:value pub.1111753630
71 rdf:type schema:PropertyValue
72 N3de440ccd41c45858d7fb26243d31036 rdf:first Nf88b0ec712e64b2c9825e14a414a43de
73 rdf:rest Ndc6d026814c2497a911a43f0424349d8
74 N486f9dab47bb4aafbe42e99a52260878 schema:affiliation https://www.grid.ac/institutes/grid.466781.a
75 schema:familyName Otsubo
76 schema:givenName Makoto
77 rdf:type schema:Person
78 N6fe22451dfc2459eb5e05ae1ed1baf35 schema:affiliation https://www.grid.ac/institutes/grid.466781.a
79 schema:familyName Miyakawa
80 schema:givenName Ayumu
81 rdf:type schema:Person
82 N8f38ec0173494ff6b55c3977188f1df4 rdf:first N1c7147b37393461abc21436c7d6cdd9a
83 rdf:rest N3de440ccd41c45858d7fb26243d31036
84 Nc258466f782a4996a681f92a412df427 schema:issueNumber 1
85 rdf:type schema:PublicationIssue
86 Ndc6d026814c2497a911a43f0424349d8 rdf:first N486f9dab47bb4aafbe42e99a52260878
87 rdf:rest rdf:nil
88 Nef85a99305b44c3a898c8e8f742de6ba schema:name doi
89 schema:value 10.1186/s40645-018-0252-z
90 rdf:type schema:PropertyValue
91 Nf01d2e5009e2413e8a106b95743d57d7 schema:volumeNumber 6
92 rdf:type schema:PublicationVolume
93 Nf1960c44c88f4a2a8247186b98496367 rdf:first N6fe22451dfc2459eb5e05ae1ed1baf35
94 rdf:rest N8f38ec0173494ff6b55c3977188f1df4
95 Nf55d2a7077884861816548cac72de68d schema:name Springer Nature - SN SciGraph project
96 rdf:type schema:Organization
97 Nf88b0ec712e64b2c9825e14a414a43de schema:affiliation https://www.grid.ac/institutes/grid.410588.0
98 schema:familyName Hamada
99 schema:givenName Yohei
100 rdf:type schema:Person
101 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
102 schema:name Earth Sciences
103 rdf:type schema:DefinedTerm
104 anzsrc-for:0403 schema:inDefinedTermSet anzsrc-for:
105 schema:name Geology
106 rdf:type schema:DefinedTerm
107 sg:grant.6823202 http://pending.schema.org/fundedItem sg:pub.10.1186/s40645-018-0252-z
108 rdf:type schema:MonetaryGrant
109 sg:journal.1136393 schema:issn 2197-4284
110 schema:name Progress in Earth and Planetary Science
111 rdf:type schema:Periodical
112 sg:pub.10.1007/bf00251079 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017400063
113 https://doi.org/10.1007/bf00251079
114 rdf:type schema:CreativeWork
115 sg:pub.10.1007/s00531-005-0035-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011609328
116 https://doi.org/10.1007/s00531-005-0035-9
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1002/2014jb011455 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008309472
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1002/2016tc004383 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005370572
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1002/2017gc006928 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090903124
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1002/jgrb.50230 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045526580
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1016/0040-1951(92)90117-o schema:sameAs https://app.dimensions.ai/details/publication/pub.1012279686
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1016/j.epsl.2006.01.049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013021325
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1016/j.marpetgeo.2013.11.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040290965
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1016/j.tecto.2009.08.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040770982
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1016/j.tecto.2013.08.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007274437
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1016/j.tecto.2016.11.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003860860
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1016/s1386-1425(03)00077-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051022214
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1029/1999jb900136 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012818125
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1029/2004gc000794 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022943625
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1029/2004tc001635 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038914376
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1029/2006tc002064 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013723506
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1029/91jb00295 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007459530
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1029/92jb02279 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031247551
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1029/93jb00782 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047146202
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1029/97jb03541 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020712014
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1029/jb094ib04p03923 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024151855
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1046/j.1365-246x.2002.01579.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1028043041
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1111/iar.12149 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052965366
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1111/j.1440-1738.1992.tb00064.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1032345402
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1130/0091-7613(1993)021<0371:mmftto>2.3.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040979457
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1130/0091-7613(1996)024<0795:hpgwrs>2.3.co;2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033583743
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1130/2007.2433(04) schema:sameAs https://app.dimensions.ai/details/publication/pub.1088798910
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1130/g20211.2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048921589
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1130/g23448a.1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033944317
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1130/spe273-p1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1088807106
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1144/gsl.sp.2006.253.01.09 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012692787
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1306/0c9b251f-1710-11d7-8645000102c1865d schema:sameAs https://app.dimensions.ai/details/publication/pub.1064924735
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1306/bdff8eca-1718-11d7-8645000102c1865d schema:sameAs https://app.dimensions.ai/details/publication/pub.1064965667
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1680/geot.1979.29.1.47 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068209785
183 rdf:type schema:CreativeWork
184 https://www.grid.ac/institutes/grid.26999.3d schema:alternateName University of Tokyo
185 schema:name Earthquake Research Institute, University of Tokyo, 1-1-1 Yayoi, 113-0032, Bunkyo-ku, Tokyo, Japan
186 rdf:type schema:Organization
187 https://www.grid.ac/institutes/grid.410588.0 schema:alternateName Japan Agency for Marine-Earth Science and Technology
188 schema:name Kochi Institute for Core Sample Research, Japan Agency for Marine-Earth Science and Technology, 200 Monobe Otsu, 783-8502, Nankoku City, Kochi, Japan
189 rdf:type schema:Organization
190 https://www.grid.ac/institutes/grid.466781.a schema:alternateName Geological Survey of Japan
191 schema:name Geological Survey of Japan, AIST, AIST Tsukuba Central 7, Higashi-1-1-1, 305-8567, Tsukuba, Ibaraki Pref., Japan
192 rdf:type schema:Organization
 




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


...