Ontology type: schema:ScholarlyArticle Open Access: True
2018-12
AUTHORSYuhji Yamamoto, Toshitsugu Yamazaki, Toshiya Kanamatsu
ABSTRACTPrevious studies have compiled relative paleointensity data for the last 2–3 Ma from individual paleomagnetic records obtained from marine sediment cores. These records have mostly been obtained by pass-through measurements, which are known to smooth and alter magnetic signals. Among many efforts, a standalone open-use graphical software UDECON has been developed to deconvolve pass-through measurement data. As an initial case study to assess the applicability of the software to deconvolve natural remanent magnetization (NRM) of a continuous paleomagnetic sample, we chose 40 discrete samples from a piston core recovered in the northeast Pacific. We measured NRMs after alternating field demagnetization at 20 mT for both discrete samples and a simulated continuous sample, made by connecting the discrete samples. The discrete samples show centimeter-scale variations in NRM. Such variations are smoothed out and mostly disappear in the results of the simulated continuous sample. However, after using the software to deconvolve the data, the variations are almost completely restored. Good agreement between the discrete sample data and the deconvolved data indicates that the deconvolution by the software is very successful. We observe detailed features of a directional reversal in the data from the discrete samples and in the deconvolved data but not in the data from the simulated continuous sample. This emphasizes that the deconvolution analysis by the software is a powerful tool to extract detailed features from continuous paleomagnetic records obtained by pass-through measurements. More... »
PAGES160
http://scigraph.springernature.com/pub.10.1186/s40623-018-0931-4
DOIhttp://dx.doi.org/10.1186/s40623-018-0931-4
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1107339579
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/2008/0803",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Computer Software",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Information and Computing Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "K\u014dchi University",
"id": "https://www.grid.ac/institutes/grid.278276.e",
"name": [
"Center for Advanced Marine Core Research, Kochi University, 783-8502, Kochi, Japan"
],
"type": "Organization"
},
"familyName": "Yamamoto",
"givenName": "Yuhji",
"id": "sg:person.013571770071.39",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013571770071.39"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Tokyo",
"id": "https://www.grid.ac/institutes/grid.26999.3d",
"name": [
"Atmosphere and Ocean Research Institute, University of Tokyo, 277-8564, Chiba, Japan"
],
"type": "Organization"
},
"familyName": "Yamazaki",
"givenName": "Toshitsugu",
"id": "sg:person.010752515501.44",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010752515501.44"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Japan Agency for Marine-Earth Science and Technology",
"id": "https://www.grid.ac/institutes/grid.410588.0",
"name": [
"Research and Development Center for Earthquake and Tsunami, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), 237-0061, Kanagawa, Japan"
],
"type": "Organization"
},
"familyName": "Kanamatsu",
"givenName": "Toshiya",
"id": "sg:person.07510010426.76",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07510010426.76"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1029/gl001i004p00185",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000797452"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/bf03351679",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003867693",
"https://doi.org/10.1186/bf03351679"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2002gl014927",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009827530"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s40623-016-0493-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014134718",
"https://doi.org/10.1186/s40623-016-0493-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s40623-016-0493-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014134718",
"https://doi.org/10.1186/s40623-016-0493-2"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/2014gc005513",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014182684"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s40623-015-0332-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015307352",
"https://doi.org/10.1186/s40623-015-0332-x"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s40623-015-0332-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015307352",
"https://doi.org/10.1186/s40623-015-0332-x"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/bf03352082",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023393177",
"https://doi.org/10.1186/bf03352082"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/95jb02811",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024882266"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2005gc001001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028267735"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2005gc001001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028267735"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.5636/jgg.46.613",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034124011"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1046/j.1365-246x.2000.00130.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037658184"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-246x.2010.04905.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038030869"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-246x.1991.tb05693.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039214196"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1365-246x.1991.tb05693.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039214196"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2009gc002991",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047796122"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.epsl.2009.03.012",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048052873"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature03674",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051177709",
"https://doi.org/10.1038/nature03674"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature03674",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051177709",
"https://doi.org/10.1038/nature03674"
],
"type": "CreativeWork"
}
],
"datePublished": "2018-12",
"datePublishedReg": "2018-12-01",
"description": "Previous studies have compiled relative paleointensity data for the last 2\u20133 Ma from individual paleomagnetic records obtained from marine sediment cores. These records have mostly been obtained by pass-through measurements, which are known to smooth and alter magnetic signals. Among many efforts, a standalone open-use graphical software UDECON has been developed to deconvolve pass-through measurement data. As an initial case study to assess the applicability of the software to deconvolve natural remanent magnetization (NRM) of a continuous paleomagnetic sample, we chose 40 discrete samples from a piston core recovered in the northeast Pacific. We measured NRMs after alternating field demagnetization at 20 mT for both discrete samples and a simulated continuous sample, made by connecting the discrete samples. The discrete samples show centimeter-scale variations in NRM. Such variations are smoothed out and mostly disappear in the results of the simulated continuous sample. However, after using the software to deconvolve the data, the variations are almost completely restored. Good agreement between the discrete sample data and the deconvolved data indicates that the deconvolution by the software is very successful. We observe detailed features of a directional reversal in the data from the discrete samples and in the deconvolved data but not in the data from the simulated continuous sample. This emphasizes that the deconvolution analysis by the software is a powerful tool to extract detailed features from continuous paleomagnetic records obtained by pass-through measurements.",
"genre": "research_article",
"id": "sg:pub.10.1186/s40623-018-0931-4",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isFundedItemOf": [
{
"id": "sg:grant.5902665",
"type": "MonetaryGrant"
},
{
"id": "sg:grant.5864097",
"type": "MonetaryGrant"
},
{
"id": "sg:grant.5903840",
"type": "MonetaryGrant"
}
],
"isPartOf": [
{
"id": "sg:journal.1294798",
"issn": [
"1343-8832",
"1880-5981"
],
"name": "Earth, Planets and Space",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "70"
}
],
"name": "An initial case study to deconvolve natural remanent magnetization of a continuous paleomagnetic sample using the software UDECON",
"pagination": "160",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"55e284dc27ad312264654ffc1559c941e803906c07a844256127e1dc00918f10"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1186/s40623-018-0931-4"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1107339579"
]
}
],
"sameAs": [
"https://doi.org/10.1186/s40623-018-0931-4",
"https://app.dimensions.ai/details/publication/pub.1107339579"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T23:31",
"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_8693_00000548.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1186%2Fs40623-018-0931-4"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
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/s40623-018-0931-4'
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/s40623-018-0931-4'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s40623-018-0931-4'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s40623-018-0931-4'
This table displays all metadata directly associated to this object as RDF triples.
140 TRIPLES
21 PREDICATES
43 URIs
19 LITERALS
7 BLANK NODES