1999-10
AUTHORS ABSTRACTAnyone with a home PC could join climate modellers in their attempt to forecast how the Earth's climate will evolve in the next century.
PAGES642-642
http://scigraph.springernature.com/pub.10.1038/44266
DOIhttp://dx.doi.org/10.1038/44266
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1034790274
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": [
{
"affiliation": {
"alternateName": "the Space Science Department, Rutherford Appleton Laboratory, OX11 0QX, Chilton, Didcot, UK",
"id": "http://www.grid.ac/institutes/grid.76978.37",
"name": [
"the Space Science Department, Rutherford Appleton Laboratory, OX11 0QX, Chilton, Didcot, UK"
],
"type": "Organization"
},
"familyName": "Allen",
"givenName": "Myles",
"id": "sg:person.0600474550.17",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600474550.17"
],
"type": "Person"
}
],
"datePublished": "1999-10",
"datePublishedReg": "1999-10-01",
"description": "Anyone with a home PC could join climate modellers in their attempt to forecast how the Earth's climate will evolve in the next century.",
"genre": "article",
"id": "sg:pub.10.1038/44266",
"inLanguage": "en",
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1018957",
"issn": [
"0028-0836",
"1476-4687"
],
"name": "Nature",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "6754",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "401"
}
],
"keywords": [
"Earth's climate",
"climate predictions",
"climate modelers",
"next century",
"climate",
"modelers",
"century",
"prediction",
"attempt",
"PC",
"home PC"
],
"name": "Do-it-yourself climate prediction",
"pagination": "642-642",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1034790274"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/44266"
]
}
],
"sameAs": [
"https://doi.org/10.1038/44266",
"https://app.dimensions.ai/details/publication/pub.1034790274"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-20T07:20",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_311.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1038/44266"
}
]
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.10.1038/44266'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/44266'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/44266'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/44266'
This table displays all metadata directly associated to this object as RDF triples.
61 TRIPLES
20 PREDICATES
35 URIs
29 LITERALS
6 BLANK NODES