Ontology type: schema:ScholarlyArticle Open Access: True
2018-04-10
AUTHORSNathalie Schaller, Sarah N. Sparrow, Neil R. Massey, Andy Bowery, Jonathan Miller, Simon Wilson, David C.H. Wallom, Friederike E.L. Otto
ABSTRACTLarge data sets used to study the impact of anthropogenic climate change on the 2013/14 floods in the UK are provided. The data consist of perturbed initial conditions simulations using the Weather@Home regional climate modelling framework. Two different base conditions, Actual, including atmospheric conditions (anthropogenic greenhouse gases and human induced aerosols) as at present and Natural, with these forcings all removed are available. The data set is made up of 13 different ensembles (2 actual and 11 natural) with each having more than 7500 members. The data is available as NetCDF V3 files representing monthly data within the period of interest (1st Dec 2013 to 15th February 2014) for both a specified European region at a 50 km horizontal resolution and globally at N96 resolution. The data is stored within the UK Natural and Environmental Research Council Centre for Environmental Data Analysis repository. More... »
PAGES180057
http://scigraph.springernature.com/pub.10.1038/sdata.2018.57
DOIhttp://dx.doi.org/10.1038/sdata.2018.57
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1103192722
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/29633985
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/2008/04",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Earth Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0401",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Atmospheric Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Center for International Climate Research (CICERO), Gaustadalleen 21, 0349 Oslo, Norway",
"id": "http://www.grid.ac/institutes/grid.424033.2",
"name": [
"Environmental Change Institute, University of Oxford, Oxford OX1 3QY, UK",
"Center for International Climate Research (CICERO), Gaustadalleen 21, 0349 Oslo, Norway"
],
"type": "Organization"
},
"familyName": "Schaller",
"givenName": "Nathalie",
"id": "sg:person.012575306633.12",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012575306633.12"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Oxford e-Research Centre, University of Oxford, Oxford OX1 3QG, UK",
"id": "http://www.grid.ac/institutes/grid.4991.5",
"name": [
"Oxford e-Research Centre, University of Oxford, Oxford OX1 3QG, UK"
],
"type": "Organization"
},
"familyName": "Sparrow",
"givenName": "Sarah N.",
"id": "sg:person.013147101037.33",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013147101037.33"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Environmental Change Institute, University of Oxford, Oxford OX1 3QY, UK",
"id": "http://www.grid.ac/institutes/grid.4991.5",
"name": [
"Environmental Change Institute, University of Oxford, Oxford OX1 3QY, UK"
],
"type": "Organization"
},
"familyName": "Massey",
"givenName": "Neil R.",
"id": "sg:person.011202345633.67",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011202345633.67"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Oxford e-Research Centre, University of Oxford, Oxford OX1 3QG, UK",
"id": "http://www.grid.ac/institutes/grid.4991.5",
"name": [
"Oxford e-Research Centre, University of Oxford, Oxford OX1 3QG, UK"
],
"type": "Organization"
},
"familyName": "Bowery",
"givenName": "Andy",
"id": "sg:person.010367200147.75",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010367200147.75"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Oxford e-Research Centre, University of Oxford, Oxford OX1 3QG, UK",
"id": "http://www.grid.ac/institutes/grid.4991.5",
"name": [
"Oxford e-Research Centre, University of Oxford, Oxford OX1 3QG, UK"
],
"type": "Organization"
},
"familyName": "Miller",
"givenName": "Jonathan",
"id": "sg:person.010101172623.77",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010101172623.77"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "MetOffice Hadley Centre, EX1 3PB, Exeter, UK",
"id": "http://www.grid.ac/institutes/grid.17100.37",
"name": [
"MetOffice Hadley Centre, EX1 3PB, Exeter, UK"
],
"type": "Organization"
},
"familyName": "Wilson",
"givenName": "Simon",
"id": "sg:person.016552067657.69",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016552067657.69"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Oxford e-Research Centre, University of Oxford, Oxford OX1 3QG, UK",
"id": "http://www.grid.ac/institutes/grid.4991.5",
"name": [
"Oxford e-Research Centre, University of Oxford, Oxford OX1 3QG, UK"
],
"type": "Organization"
},
"familyName": "Wallom",
"givenName": "David C.H.",
"id": "sg:person.015131374022.11",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015131374022.11"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Environmental Change Institute, University of Oxford, Oxford OX1 3QY, UK",
"id": "http://www.grid.ac/institutes/grid.4991.5",
"name": [
"Environmental Change Institute, University of Oxford, Oxford OX1 3QY, UK"
],
"type": "Organization"
},
"familyName": "Otto",
"givenName": "Friederike E.L.",
"id": "sg:person.01326463237.80",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01326463237.80"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1038/nclimate2927",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011320779",
"https://doi.org/10.1038/nclimate2927"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10113-013-0499-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015254889",
"https://doi.org/10.1007/s10113-013-0499-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10584-005-6778-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037417665",
"https://doi.org/10.1007/s10584-005-6778-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00382-016-3308-z",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032152637",
"https://doi.org/10.1007/s00382-016-3308-z"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s003820050010",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015242699",
"https://doi.org/10.1007/s003820050010"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature03301",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030001284",
"https://doi.org/10.1038/nature03301"
],
"type": "CreativeWork"
}
],
"datePublished": "2018-04-10",
"datePublishedReg": "2018-04-10",
"description": "Large data sets used to study the impact of anthropogenic climate change on the 2013/14 floods in the UK are provided. The data consist of perturbed initial conditions simulations using the Weather@Home regional climate modelling framework. Two different base conditions, Actual, including atmospheric conditions (anthropogenic greenhouse gases and human induced aerosols) as at present and Natural, with these forcings all removed are available. The data set is made up of 13 different ensembles (2 actual and 11 natural) with each having more than 7500 members. The data is available as NetCDF V3 files representing monthly data within the period of interest (1st Dec 2013 to 15th February 2014) for both a specified European region at a 50\u2009km horizontal resolution and globally at N96 resolution. The data is stored within the UK Natural and Environmental Research Council Centre for Environmental Data Analysis repository.",
"genre": "article",
"id": "sg:pub.10.1038/sdata.2018.57",
"inLanguage": "en",
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1050678",
"issn": [
"2052-4463"
],
"name": "Scientific Data",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "5"
}
],
"keywords": [
"regional climate simulations",
"anthropogenic climate change",
"N96 resolution",
"climate simulations",
"horizontal resolution",
"period of interest",
"climate change",
"atmospheric conditions",
"data sets",
"condition simulation",
"different base conditions",
"modelling framework",
"monthly data",
"European regions",
"data consist",
"forcing",
"floods",
"winter",
"large data sets",
"resolution",
"different ensembles",
"base conditions",
"ensemble",
"data",
"simulations",
"region",
"Natural",
"conditions",
"consist",
"period",
"changes",
"impact",
"repository",
"set",
"center",
"UK",
"framework",
"members",
"interest",
"files"
],
"name": "Ensemble of European regional climate simulations for the winter of 2013 and 2014 from HadAM3P-RM3P",
"pagination": "180057",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1103192722"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/sdata.2018.57"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"29633985"
]
}
],
"sameAs": [
"https://doi.org/10.1038/sdata.2018.57",
"https://app.dimensions.ai/details/publication/pub.1103192722"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-20T07:34",
"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_762.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1038/sdata.2018.57"
}
]
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/sdata.2018.57'
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/sdata.2018.57'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/sdata.2018.57'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/sdata.2018.57'
This table displays all metadata directly associated to this object as RDF triples.
183 TRIPLES
22 PREDICATES
72 URIs
58 LITERALS
7 BLANK NODES