http://scigraph.springernature.com/pub.10.1038/nphys3002
DOIhttp://dx.doi.org/10.1038/nphys3002
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1028847005
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",
"author": [
{
"familyName": "Curty",
"givenName": "Marcos",
"id": "sg:person.011116240401.87",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011116240401.87"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1038/nature13303",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007178790",
"https://doi.org/10.1038/nature13303"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physreva.89.022307",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016590088"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physreva.89.022307",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016590088"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevlett.94.230503",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017687775"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevlett.94.230503",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017687775"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevlett.94.230504",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020143779"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevlett.94.230504",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020143779"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevlett.91.057901",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025620862"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevlett.91.057901",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025620862"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf01397280",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045169585",
"https://doi.org/10.1007/bf01397280"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevlett.85.1330",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047714332"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1103/physrevlett.85.1330",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047714332"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1088/1367-2630/11/4/045018",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1059134660"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1088/1367-2630/11/4/045018",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1059134660"
],
"type": "CreativeWork"
}
],
"datePublished": "2014-07",
"datePublishedReg": "2014-07-01",
"genre": "non_research_article",
"id": "sg:pub.10.1038/nphys3002",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1034717",
"issn": [
"1745-2473",
"1745-2481"
],
"name": "Nature Physics",
"type": "Periodical"
},
{
"issueNumber": "7",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "10"
}
],
"name": "Quantum cryptography: Know your enemy",
"pagination": "479-480",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"896b492d0eeb84f5e6eef46afb6b694b2bc17b55f9fbe5fad6a1c735b2b6ce15"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/nphys3002"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1028847005"
]
}
],
"sameAs": [
"https://doi.org/10.1038/nphys3002",
"https://app.dimensions.ai/details/publication/pub.1028847005"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T18:56",
"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_8678_00000425.jsonl",
"type": "ScholarlyArticle",
"url": "http://www.nature.com/nphys/journal/v10/n7/full/nphys3002.html"
}
]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.10.1038/nphys3002'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/nphys3002'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nphys3002'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nphys3002'
This table displays all metadata directly associated to this object as RDF triples.
74 TRIPLES
19 PREDICATES
32 URIs
18 LITERALS
7 BLANK NODES