Temporal variations of plume activities before the 8 October 2016 eruption of Aso volcano, Japan, detected by ground-based and satellite ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Masaaki Morita

ABSTRACT

At many volcano observatories, measurements of the plume height are frequently applied. On the other hand, the recent development of the satellite measurements enables the monitoring of the SO2 mass emitted by the passive degassing at sufficient temporal resolution. Using these two techniques, this study focuses on the degassing activity before the 8 October 2016 phreatomagmatic eruption of Aso volcano, Japan. Here we show the temporal variations of the plume height, the SO2 mass, and ground-based SO2 flux during 6 months before the eruption. Our result shows similar temporal changes of them, especially for the maxima and the increase, respectively, in about 2 months and 6 days before the eruption. This result indicates that the degassing system had been stable during the whole study period, but the accumulation of volcanic gas in the conduit since August might trigger the phreatomagmatic eruption. These techniques can be sufficient to monitor the degassing activity and to detect its precursory change. More... »

PAGES

7

References to SciGraph publications

Journal

TITLE

Earth, Planets and Space

ISSUE

1

VOLUME

71

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s40623-019-0986-x

DOI

http://dx.doi.org/10.1186/s40623-019-0986-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111461250


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/2008/0909", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Geomatic Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "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, Central 7, Higashi 1-1-1, 305-8567, Tsukuba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Morita", 
        "givenName": "Masaaki", 
        "id": "sg:person.013410275035.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013410275035.00"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/2013jd020472", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002130461"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00445-011-0550-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003631792", 
          "https://doi.org/10.1007/s00445-011-0550-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-36833-2_8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009280583", 
          "https://doi.org/10.1007/978-3-642-36833-2_8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jvolgeores.2007.10.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012931113"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2006gl026506", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018004673"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0377-0273(02)00356-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022888228"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0377-0273(92)90046-g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024046611"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0377-0273(92)90046-g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024046611"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/2014gl061808", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024144811"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/amt-10-119-2017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028852755"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rspa.1956.0011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029518349"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2008jb005882", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030296775"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2008jb005882", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030296775"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/essd-3-9-2011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033926059"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-36833-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033945011", 
          "https://doi.org/10.1007/978-3-642-36833-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-36833-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033945011", 
          "https://doi.org/10.1007/978-3-642-36833-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/2013jd020467", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035554887"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10201-009-0304-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037161343", 
          "https://doi.org/10.1007/s10201-009-0304-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10201-009-0304-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037161343", 
          "https://doi.org/10.1007/s10201-009-0304-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10201-009-0304-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037161343", 
          "https://doi.org/10.1007/s10201-009-0304-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/2013gl058134", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042504700"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.epsl.2016.02.056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042810067"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jvolgeores.2009.08.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043999522"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2001gl013393", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044890555"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep13069", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051419023", 
          "https://doi.org/10.1038/srep13069"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jvolgeores.2008.01.029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051693616"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13617-014-0017-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052520786", 
          "https://doi.org/10.1186/s13617-014-0017-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13617-014-0017-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052520786", 
          "https://doi.org/10.1186/s13617-014-0017-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.220.4604.1377", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062527201"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5194/amt-10-445-2017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083690412"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/2017jb014387", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090878166"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jvolgeores.2017.12.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099661158"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s40623-018-0793-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100864872", 
          "https://doi.org/10.1186/s40623-018-0793-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s40623-018-0970-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1110592146", 
          "https://doi.org/10.1186/s40623-018-0970-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s40623-018-0970-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1110592146", 
          "https://doi.org/10.1186/s40623-018-0970-x"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "At many volcano observatories, measurements of the plume height are frequently applied. On the other hand, the recent development of the satellite measurements enables the monitoring of the SO2 mass emitted by the passive degassing at sufficient temporal resolution. Using these two techniques, this study focuses on the degassing activity before the 8 October 2016 phreatomagmatic eruption of Aso volcano, Japan. Here we show the temporal variations of the plume height, the SO2 mass, and ground-based SO2 flux during 6 months before the eruption. Our result shows similar temporal changes of them, especially for the maxima and the increase, respectively, in about 2 months and 6 days before the eruption. This result indicates that the degassing system had been stable during the whole study period, but the accumulation of volcanic gas in the conduit since August might trigger the phreatomagmatic eruption. These techniques can be sufficient to monitor the degassing activity and to detect its precursory change.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s40623-019-0986-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1294798", 
        "issn": [
          "1343-8832", 
          "1880-5981"
        ], 
        "name": "Earth, Planets and Space", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "71"
      }
    ], 
    "name": "Temporal variations of plume activities before the 8 October 2016 eruption of Aso volcano, Japan, detected by ground-based and satellite measurements", 
    "pagination": "7", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "f556b3f71e065443fe9e735a4e28566e8b5fec673ea383bc5495250f69b3dbf5"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s40623-019-0986-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111461250"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s40623-019-0986-x", 
      "https://app.dimensions.ai/details/publication/pub.1111461250"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:42", 
    "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/v90/0000000321_0000000321/records_74942_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs40623-019-0986-x"
  }
]
 

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/s40623-019-0986-x'

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/s40623-019-0986-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s40623-019-0986-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s40623-019-0986-x'


 

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

153 TRIPLES      21 PREDICATES      55 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s40623-019-0986-x schema:about anzsrc-for:09
2 anzsrc-for:0909
3 schema:author Nd994043e678e4a15afef9f774bcd5a9b
4 schema:citation sg:pub.10.1007/978-3-642-36833-2
5 sg:pub.10.1007/978-3-642-36833-2_8
6 sg:pub.10.1007/s00445-011-0550-4
7 sg:pub.10.1007/s10201-009-0304-6
8 sg:pub.10.1038/srep13069
9 sg:pub.10.1186/s13617-014-0017-3
10 sg:pub.10.1186/s40623-018-0793-9
11 sg:pub.10.1186/s40623-018-0970-x
12 https://doi.org/10.1002/2013gl058134
13 https://doi.org/10.1002/2013jd020467
14 https://doi.org/10.1002/2013jd020472
15 https://doi.org/10.1002/2014gl061808
16 https://doi.org/10.1002/2017jb014387
17 https://doi.org/10.1016/0377-0273(92)90046-g
18 https://doi.org/10.1016/j.epsl.2016.02.056
19 https://doi.org/10.1016/j.jvolgeores.2007.10.010
20 https://doi.org/10.1016/j.jvolgeores.2008.01.029
21 https://doi.org/10.1016/j.jvolgeores.2009.08.001
22 https://doi.org/10.1016/j.jvolgeores.2017.12.009
23 https://doi.org/10.1016/s0377-0273(02)00356-6
24 https://doi.org/10.1029/2001gl013393
25 https://doi.org/10.1029/2006gl026506
26 https://doi.org/10.1029/2008jb005882
27 https://doi.org/10.1098/rspa.1956.0011
28 https://doi.org/10.1126/science.220.4604.1377
29 https://doi.org/10.5194/amt-10-119-2017
30 https://doi.org/10.5194/amt-10-445-2017
31 https://doi.org/10.5194/essd-3-9-2011
32 schema:datePublished 2019-12
33 schema:datePublishedReg 2019-12-01
34 schema:description At many volcano observatories, measurements of the plume height are frequently applied. On the other hand, the recent development of the satellite measurements enables the monitoring of the SO2 mass emitted by the passive degassing at sufficient temporal resolution. Using these two techniques, this study focuses on the degassing activity before the 8 October 2016 phreatomagmatic eruption of Aso volcano, Japan. Here we show the temporal variations of the plume height, the SO2 mass, and ground-based SO2 flux during 6 months before the eruption. Our result shows similar temporal changes of them, especially for the maxima and the increase, respectively, in about 2 months and 6 days before the eruption. This result indicates that the degassing system had been stable during the whole study period, but the accumulation of volcanic gas in the conduit since August might trigger the phreatomagmatic eruption. These techniques can be sufficient to monitor the degassing activity and to detect its precursory change.
35 schema:genre research_article
36 schema:inLanguage en
37 schema:isAccessibleForFree true
38 schema:isPartOf N198ef80e756f49acbe82370ae57ace27
39 Na31bac42feed4b3ca76d0bdd479d81e5
40 sg:journal.1294798
41 schema:name Temporal variations of plume activities before the 8 October 2016 eruption of Aso volcano, Japan, detected by ground-based and satellite measurements
42 schema:pagination 7
43 schema:productId N170bc246b20141799966e74568c3c0c1
44 N4bbef7cc87924ad5a8377a8cbe3b356b
45 Nbee68e1ced3e428797c16c8b1064a98f
46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111461250
47 https://doi.org/10.1186/s40623-019-0986-x
48 schema:sdDatePublished 2019-04-11T08:42
49 schema:sdLicense https://scigraph.springernature.com/explorer/license/
50 schema:sdPublisher N2454f9c4384f4f31be189464a8e73507
51 schema:url https://link.springer.com/10.1186%2Fs40623-019-0986-x
52 sgo:license sg:explorer/license/
53 sgo:sdDataset articles
54 rdf:type schema:ScholarlyArticle
55 N170bc246b20141799966e74568c3c0c1 schema:name dimensions_id
56 schema:value pub.1111461250
57 rdf:type schema:PropertyValue
58 N198ef80e756f49acbe82370ae57ace27 schema:issueNumber 1
59 rdf:type schema:PublicationIssue
60 N2454f9c4384f4f31be189464a8e73507 schema:name Springer Nature - SN SciGraph project
61 rdf:type schema:Organization
62 N4bbef7cc87924ad5a8377a8cbe3b356b schema:name doi
63 schema:value 10.1186/s40623-019-0986-x
64 rdf:type schema:PropertyValue
65 Na31bac42feed4b3ca76d0bdd479d81e5 schema:volumeNumber 71
66 rdf:type schema:PublicationVolume
67 Nbee68e1ced3e428797c16c8b1064a98f schema:name readcube_id
68 schema:value f556b3f71e065443fe9e735a4e28566e8b5fec673ea383bc5495250f69b3dbf5
69 rdf:type schema:PropertyValue
70 Nd994043e678e4a15afef9f774bcd5a9b rdf:first sg:person.013410275035.00
71 rdf:rest rdf:nil
72 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
73 schema:name Engineering
74 rdf:type schema:DefinedTerm
75 anzsrc-for:0909 schema:inDefinedTermSet anzsrc-for:
76 schema:name Geomatic Engineering
77 rdf:type schema:DefinedTerm
78 sg:journal.1294798 schema:issn 1343-8832
79 1880-5981
80 schema:name Earth, Planets and Space
81 rdf:type schema:Periodical
82 sg:person.013410275035.00 schema:affiliation https://www.grid.ac/institutes/grid.466781.a
83 schema:familyName Morita
84 schema:givenName Masaaki
85 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013410275035.00
86 rdf:type schema:Person
87 sg:pub.10.1007/978-3-642-36833-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033945011
88 https://doi.org/10.1007/978-3-642-36833-2
89 rdf:type schema:CreativeWork
90 sg:pub.10.1007/978-3-642-36833-2_8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009280583
91 https://doi.org/10.1007/978-3-642-36833-2_8
92 rdf:type schema:CreativeWork
93 sg:pub.10.1007/s00445-011-0550-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003631792
94 https://doi.org/10.1007/s00445-011-0550-4
95 rdf:type schema:CreativeWork
96 sg:pub.10.1007/s10201-009-0304-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037161343
97 https://doi.org/10.1007/s10201-009-0304-6
98 rdf:type schema:CreativeWork
99 sg:pub.10.1038/srep13069 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051419023
100 https://doi.org/10.1038/srep13069
101 rdf:type schema:CreativeWork
102 sg:pub.10.1186/s13617-014-0017-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052520786
103 https://doi.org/10.1186/s13617-014-0017-3
104 rdf:type schema:CreativeWork
105 sg:pub.10.1186/s40623-018-0793-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100864872
106 https://doi.org/10.1186/s40623-018-0793-9
107 rdf:type schema:CreativeWork
108 sg:pub.10.1186/s40623-018-0970-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1110592146
109 https://doi.org/10.1186/s40623-018-0970-x
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1002/2013gl058134 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042504700
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1002/2013jd020467 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035554887
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1002/2013jd020472 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002130461
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1002/2014gl061808 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024144811
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1002/2017jb014387 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090878166
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1016/0377-0273(92)90046-g schema:sameAs https://app.dimensions.ai/details/publication/pub.1024046611
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1016/j.epsl.2016.02.056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042810067
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1016/j.jvolgeores.2007.10.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012931113
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1016/j.jvolgeores.2008.01.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051693616
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1016/j.jvolgeores.2009.08.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043999522
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1016/j.jvolgeores.2017.12.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099661158
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1016/s0377-0273(02)00356-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022888228
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1029/2001gl013393 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044890555
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1029/2006gl026506 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018004673
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1029/2008jb005882 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030296775
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1098/rspa.1956.0011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029518349
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1126/science.220.4604.1377 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062527201
144 rdf:type schema:CreativeWork
145 https://doi.org/10.5194/amt-10-119-2017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028852755
146 rdf:type schema:CreativeWork
147 https://doi.org/10.5194/amt-10-445-2017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083690412
148 rdf:type schema:CreativeWork
149 https://doi.org/10.5194/essd-3-9-2011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033926059
150 rdf:type schema:CreativeWork
151 https://www.grid.ac/institutes/grid.466781.a schema:alternateName Geological Survey of Japan
152 schema:name Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology, Central 7, Higashi 1-1-1, 305-8567, Tsukuba, Japan
153 rdf:type schema:Organization
 




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


...