On the effect of topography on surface wave propagation in the ambient noise frequency range View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-04

AUTHORS

Andreas Köhler, Christian Weidle, Valérie Maupin

ABSTRACT

Due to the increasing popularity of analyzing empirical Green’s functions obtained from ambient seismic noise, more and more regional tomographical studies based on short-period surface waves are published. Results could potentially be biased in mountainous regions where topography is not small compared to the wavelength and penetration depth of the considered waves. We investigate the effect of topography on the propagation of short-period Rayleigh waves empirically by means of synthetic data using a spectral element code and a 3-D model with real topography. We show that topography along a profile through the studied area can result in an underestimation of phase velocities of up to about 0.7% at the shortest investigated period (3 s). Contrary to the expectation that this bias results from the increased surface distance along topography, we find that this error can be estimated by local topographic contrasts in the vicinity of the receiver alone. We discuss and generalize our results by considering topographic profiles through other mountain ranges and find that southern Norway is a good proxy to assess the topography effect. Nevertheless, topographic bias on phase velocity measurements is in general not large enough to significantly affect recovered velocity variations in the ambient noise frequency range. More... »

PAGES

221-231

Journal

TITLE

Journal of Seismology

ISSUE

2

VOLUME

16

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10950-011-9264-5

DOI

http://dx.doi.org/10.1007/s10950-011-9264-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1042610595


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/2008/0404", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Geophysics", 
        "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": {
          "name": [
            "Department of Geosciences, University of Oslo, Post Box 1047, 0316, Oslo, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "K\u00f6hler", 
        "givenName": "Andreas", 
        "id": "sg:person.013365041045.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013365041045.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Geosciences, University of Oslo, Post Box 1047, 0316, Oslo, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Weidle", 
        "givenName": "Christian", 
        "id": "sg:person.010701300057.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010701300057.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Geosciences, University of Oslo, Post Box 1047, 0316, Oslo, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Maupin", 
        "givenName": "Val\u00e9rie", 
        "id": "sg:person.014410306337.98", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014410306337.98"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1029/2004gl019491", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001070319"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2478.2007.00684.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001812697"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/97jb02622", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002137391"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-246x.2011.05044.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004012552"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0921-8181(00)00009-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004100393"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-246x.2001.00489.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004501903"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1785/0120000292", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004651741"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-246x.2009.04105.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005301278"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-246x.2009.04105.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005301278"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2004gl021862", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006881127"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2009gc002458", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008642175"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/pl00001222", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010233787", 
          "https://doi.org/10.1007/pl00001222"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0031-9201(86)90072-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013831469"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0031-9201(86)90072-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013831469"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-246x.2009.04240.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014574876"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-246x.2009.04240.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014574876"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-246x.2010.04830.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020671831"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-246x.2010.04830.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020671831"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/98eo00426", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031315292"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-246x.2002.01676.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040690559"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2010jb007707", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043563260"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2010jb007707", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043563260"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1785/gssrl.81.1.76", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050432249"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1029/2005gl023155", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050593013"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.348969", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057961075"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.350270", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057963697"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.28.728", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060533827"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.28.728", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060533827"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.36.7827", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060544484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.36.7827", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060544484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.50.18670", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060573502"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevb.50.18670", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060573502"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/cbo9781139174695", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098668573"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012-04", 
    "datePublishedReg": "2012-04-01", 
    "description": "Due to the increasing popularity of analyzing empirical Green\u2019s functions obtained from ambient seismic noise, more and more regional tomographical studies based on short-period surface waves are published. Results could potentially be biased in mountainous regions where topography is not small compared to the wavelength and penetration depth of the considered waves. We investigate the effect of topography on the propagation of short-period Rayleigh waves empirically by means of synthetic data using a spectral element code and a 3-D model with real topography. We show that topography along a profile through the studied area can result in an underestimation of phase velocities of up to about 0.7% at the shortest investigated period (3 s). Contrary to the expectation that this bias results from the increased surface distance along topography, we find that this error can be estimated by local topographic contrasts in the vicinity of the receiver alone. We discuss and generalize our results by considering topographic profiles through other mountain ranges and find that southern Norway is a good proxy to assess the topography effect. Nevertheless, topographic bias on phase velocity measurements is in general not large enough to significantly affect recovered velocity variations in the ambient noise frequency range.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10950-011-9264-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1136075", 
        "issn": [
          "1383-4649", 
          "1573-157X"
        ], 
        "name": "Journal of Seismology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "16"
      }
    ], 
    "name": "On the effect of topography on surface wave propagation in the ambient noise frequency range", 
    "pagination": "221-231", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "caf8dcb6d7d3ae33b0c85deb230e8ea26f4533949395486a6b2c954ba2e6f810"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10950-011-9264-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1042610595"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10950-011-9264-5", 
      "https://app.dimensions.ai/details/publication/pub.1042610595"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T01:08", 
    "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/v90/0000000001_0000000264/records_8697_00000515.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs10950-011-9264-5"
  }
]
 

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.10.1007/s10950-011-9264-5'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10950-011-9264-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10950-011-9264-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10950-011-9264-5'


 

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

154 TRIPLES      21 PREDICATES      52 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10950-011-9264-5 schema:about anzsrc-for:04
2 anzsrc-for:0404
3 schema:author Nb6fc51c54f3f4d81880bbcad67c11cf4
4 schema:citation sg:pub.10.1007/pl00001222
5 https://doi.org/10.1016/0031-9201(86)90072-5
6 https://doi.org/10.1016/s0921-8181(00)00009-6
7 https://doi.org/10.1017/cbo9781139174695
8 https://doi.org/10.1029/2004gl019491
9 https://doi.org/10.1029/2004gl021862
10 https://doi.org/10.1029/2005gl023155
11 https://doi.org/10.1029/2009gc002458
12 https://doi.org/10.1029/2010jb007707
13 https://doi.org/10.1029/97jb02622
14 https://doi.org/10.1029/98eo00426
15 https://doi.org/10.1046/j.1365-246x.2001.00489.x
16 https://doi.org/10.1046/j.1365-246x.2002.01676.x
17 https://doi.org/10.1063/1.348969
18 https://doi.org/10.1063/1.350270
19 https://doi.org/10.1103/physrevb.28.728
20 https://doi.org/10.1103/physrevb.36.7827
21 https://doi.org/10.1103/physrevb.50.18670
22 https://doi.org/10.1111/j.1365-246x.2009.04105.x
23 https://doi.org/10.1111/j.1365-246x.2009.04240.x
24 https://doi.org/10.1111/j.1365-246x.2010.04830.x
25 https://doi.org/10.1111/j.1365-246x.2011.05044.x
26 https://doi.org/10.1111/j.1365-2478.2007.00684.x
27 https://doi.org/10.1785/0120000292
28 https://doi.org/10.1785/gssrl.81.1.76
29 schema:datePublished 2012-04
30 schema:datePublishedReg 2012-04-01
31 schema:description Due to the increasing popularity of analyzing empirical Green’s functions obtained from ambient seismic noise, more and more regional tomographical studies based on short-period surface waves are published. Results could potentially be biased in mountainous regions where topography is not small compared to the wavelength and penetration depth of the considered waves. We investigate the effect of topography on the propagation of short-period Rayleigh waves empirically by means of synthetic data using a spectral element code and a 3-D model with real topography. We show that topography along a profile through the studied area can result in an underestimation of phase velocities of up to about 0.7% at the shortest investigated period (3 s). Contrary to the expectation that this bias results from the increased surface distance along topography, we find that this error can be estimated by local topographic contrasts in the vicinity of the receiver alone. We discuss and generalize our results by considering topographic profiles through other mountain ranges and find that southern Norway is a good proxy to assess the topography effect. Nevertheless, topographic bias on phase velocity measurements is in general not large enough to significantly affect recovered velocity variations in the ambient noise frequency range.
32 schema:genre research_article
33 schema:inLanguage en
34 schema:isAccessibleForFree true
35 schema:isPartOf N62d3e925833c430781831a4bcf6496ba
36 Nf9c6dda8c24b4bb2b8c15bd86c20601e
37 sg:journal.1136075
38 schema:name On the effect of topography on surface wave propagation in the ambient noise frequency range
39 schema:pagination 221-231
40 schema:productId N7d7abb703a844c0ab6df58cebb23055b
41 Nc31414dc16de43bd8430a6763a62e40c
42 Nc6e48ad1cf0e40fdb65cd9e4f81c9c17
43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042610595
44 https://doi.org/10.1007/s10950-011-9264-5
45 schema:sdDatePublished 2019-04-11T01:08
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher N3e412acb01a241af99b260a304305561
48 schema:url http://link.springer.com/10.1007%2Fs10950-011-9264-5
49 sgo:license sg:explorer/license/
50 sgo:sdDataset articles
51 rdf:type schema:ScholarlyArticle
52 N3e412acb01a241af99b260a304305561 schema:name Springer Nature - SN SciGraph project
53 rdf:type schema:Organization
54 N62d3e925833c430781831a4bcf6496ba schema:volumeNumber 16
55 rdf:type schema:PublicationVolume
56 N727c0873f49c45ddba908e7d87a19a0d rdf:first sg:person.014410306337.98
57 rdf:rest rdf:nil
58 N75d2edfda0e14f95813353479787747b schema:name Department of Geosciences, University of Oslo, Post Box 1047, 0316, Oslo, Norway
59 rdf:type schema:Organization
60 N78cc94bb10d845c1bfe37a212ef5462d schema:name Department of Geosciences, University of Oslo, Post Box 1047, 0316, Oslo, Norway
61 rdf:type schema:Organization
62 N7d7abb703a844c0ab6df58cebb23055b schema:name doi
63 schema:value 10.1007/s10950-011-9264-5
64 rdf:type schema:PropertyValue
65 Nb60631dfe3854d1cb0a3218ad39a5650 rdf:first sg:person.010701300057.23
66 rdf:rest N727c0873f49c45ddba908e7d87a19a0d
67 Nb6fc51c54f3f4d81880bbcad67c11cf4 rdf:first sg:person.013365041045.46
68 rdf:rest Nb60631dfe3854d1cb0a3218ad39a5650
69 Nc31414dc16de43bd8430a6763a62e40c schema:name readcube_id
70 schema:value caf8dcb6d7d3ae33b0c85deb230e8ea26f4533949395486a6b2c954ba2e6f810
71 rdf:type schema:PropertyValue
72 Nc35a2317837a457f993347fc5f53b273 schema:name Department of Geosciences, University of Oslo, Post Box 1047, 0316, Oslo, Norway
73 rdf:type schema:Organization
74 Nc6e48ad1cf0e40fdb65cd9e4f81c9c17 schema:name dimensions_id
75 schema:value pub.1042610595
76 rdf:type schema:PropertyValue
77 Nf9c6dda8c24b4bb2b8c15bd86c20601e schema:issueNumber 2
78 rdf:type schema:PublicationIssue
79 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
80 schema:name Earth Sciences
81 rdf:type schema:DefinedTerm
82 anzsrc-for:0404 schema:inDefinedTermSet anzsrc-for:
83 schema:name Geophysics
84 rdf:type schema:DefinedTerm
85 sg:journal.1136075 schema:issn 1383-4649
86 1573-157X
87 schema:name Journal of Seismology
88 rdf:type schema:Periodical
89 sg:person.010701300057.23 schema:affiliation Nc35a2317837a457f993347fc5f53b273
90 schema:familyName Weidle
91 schema:givenName Christian
92 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010701300057.23
93 rdf:type schema:Person
94 sg:person.013365041045.46 schema:affiliation N78cc94bb10d845c1bfe37a212ef5462d
95 schema:familyName Köhler
96 schema:givenName Andreas
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013365041045.46
98 rdf:type schema:Person
99 sg:person.014410306337.98 schema:affiliation N75d2edfda0e14f95813353479787747b
100 schema:familyName Maupin
101 schema:givenName Valérie
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014410306337.98
103 rdf:type schema:Person
104 sg:pub.10.1007/pl00001222 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010233787
105 https://doi.org/10.1007/pl00001222
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1016/0031-9201(86)90072-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013831469
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1016/s0921-8181(00)00009-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004100393
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1017/cbo9781139174695 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098668573
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1029/2004gl019491 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001070319
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1029/2004gl021862 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006881127
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1029/2005gl023155 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050593013
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1029/2009gc002458 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008642175
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1029/2010jb007707 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043563260
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1029/97jb02622 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002137391
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1029/98eo00426 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031315292
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1046/j.1365-246x.2001.00489.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1004501903
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1046/j.1365-246x.2002.01676.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1040690559
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1063/1.348969 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057961075
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1063/1.350270 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057963697
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1103/physrevb.28.728 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060533827
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1103/physrevb.36.7827 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060544484
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1103/physrevb.50.18670 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060573502
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1111/j.1365-246x.2009.04105.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1005301278
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1111/j.1365-246x.2009.04240.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1014574876
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1111/j.1365-246x.2010.04830.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1020671831
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1111/j.1365-246x.2011.05044.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1004012552
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1111/j.1365-2478.2007.00684.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1001812697
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1785/0120000292 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004651741
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1785/gssrl.81.1.76 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050432249
154 rdf:type schema:CreativeWork
 




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


...