Happiness is Greater in More Scenic Locations View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Chanuki Illushka Seresinhe, Tobias Preis, George MacKerron, Helen Susannah Moat

ABSTRACT

Does spending time in beautiful settings boost people's happiness? The answer to this question has long remained elusive due to a paucity of large-scale data on environmental aesthetics and individual happiness. Here, we draw on two novel datasets: first, individual happiness data from the smartphone app, Mappiness, and second, crowdsourced ratings of the "scenicness" of photographs taken across England from the online game Scenic-Or-Not. We find that individuals are happier in more scenic locations, even when we account for a range of factors such as the activity the individual was engaged in at the time, weather conditions and the income of local inhabitants. Crucially, this relationship holds not only in natural environments, but in built-up areas too, even after controlling for the presence of green space. Our results provide evidence that the aesthetics of the environments that policymakers choose to build or demolish may have consequences for our everyday wellbeing. More... »

PAGES

4498

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-019-40854-6

DOI

http://dx.doi.org/10.1038/s41598-019-40854-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112768076

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30872776


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/2008/1701", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology and Cognitive Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Warwick", 
          "id": "https://www.grid.ac/institutes/grid.7372.1", 
          "name": [
            "Data Science Lab, Behavioural Science, Warwick Business School, University of Warwick, CV4 7AL, Coventry, UK", 
            "The Alan Turing Institute, British Library, 96 Euston Road, NW1 2DB, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Seresinhe", 
        "givenName": "Chanuki Illushka", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Boston University", 
          "id": "https://www.grid.ac/institutes/grid.189504.1", 
          "name": [
            "Data Science Lab, Behavioural Science, Warwick Business School, University of Warwick, CV4 7AL, Coventry, UK", 
            "The Alan Turing Institute, British Library, 96 Euston Road, NW1 2DB, London, UK", 
            "Department of Physics, Boston University, 590 Commonwealth Avenue, 02215, Boston, Massachusetts, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Preis", 
        "givenName": "Tobias", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Sussex", 
          "id": "https://www.grid.ac/institutes/grid.12082.39", 
          "name": [
            "Department of Economics, University of Sussex, Jubilee Building, Falmer, BN1 9SL, Brighton, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "MacKerron", 
        "givenName": "George", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Boston University", 
          "id": "https://www.grid.ac/institutes/grid.189504.1", 
          "name": [
            "Data Science Lab, Behavioural Science, Warwick Business School, University of Warwick, CV4 7AL, Coventry, UK", 
            "The Alan Turing Institute, British Library, 96 Euston Road, NW1 2DB, London, UK", 
            "Department of Physics, Boston University, 590 Commonwealth Avenue, 02215, Boston, Massachusetts, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Moat", 
        "givenName": "Helen Susannah", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1177/0956797612464659", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000058149"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0956797612464659", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000058149"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.socscimed.2014.01.048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000451757"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0272-4944(95)90001-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002643077"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecolecon.2004.06.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002807563"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecolecon.2005.12.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006555841"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1510459112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008274093"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jevp.1999.0151", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009952896"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.socec.2005.11.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014194029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ecolecon.2015.11.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014476173"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1103572", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016178148"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01426397.2013.829806", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017342528"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12889-015-1391-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017784116", 
          "https://doi.org/10.1186/s12889-015-1391-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12889-015-1391-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017784116", 
          "https://doi.org/10.1186/s12889-015-1391-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0272-4944(02)00109-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018106144"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0272-4944(02)00109-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018106144"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01426397908705892", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022238692"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.clinpsy.3.022806.091415", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023599836"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jenvp.2010.04.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030763565"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/0033-2909.125.2.276", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031303223"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0272-4944(05)80254-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032131466"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/09603120500155963", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040162027"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep16899", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041367919", 
          "https://doi.org/10.1038/srep16899"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.socscimed.2010.01.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041774238"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gloenvcha.2013.03.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044651859"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1467-9442.2008.00542.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044959637"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3758/bf03206482", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046462266", 
          "https://doi.org/10.3758/bf03206482"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0304-3959(96)02994-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046508979"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0304-3959(96)02994-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046508979"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/17533010802528108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046775356"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fpsyg.2015.00471", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048049964"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1167742", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062459206"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1171990", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062460014"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1257/089533006776526076", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064525061"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fpsyg.2017.00632", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085080893"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1037/xge0000321", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085764647"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rsos.170170", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090777860"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/biosci/bix149", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092771102"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4135/9781412984201", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095899825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4135/9781412984201", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095899825"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cognition.2018.01.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100945713"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "Does spending time in beautiful settings boost people's happiness? The answer to this question has long remained elusive due to a paucity of large-scale data on environmental aesthetics and individual happiness. Here, we draw on two novel datasets: first, individual happiness data from the smartphone app, Mappiness, and second, crowdsourced ratings of the \"scenicness\" of photographs taken across England from the online game Scenic-Or-Not. We find that individuals are happier in more scenic locations, even when we account for a range of factors such as the activity the individual was engaged in at the time, weather conditions and the income of local inhabitants. Crucially, this relationship holds not only in natural environments, but in built-up areas too, even after controlling for the presence of green space. Our results provide evidence that the aesthetics of the environments that policymakers choose to build or demolish may have consequences for our everyday wellbeing.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-019-40854-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2784277", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2763901", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.4576507", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "name": "Happiness is Greater in More Scenic Locations", 
    "pagination": "4498", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "e5aa73937354dd3b00c2551d5178f052806877a0c51f437c14999d48b9c283ca"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30872776"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-019-40854-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112768076"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-019-40854-6", 
      "https://app.dimensions.ai/details/publication/pub.1112768076"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:18", 
    "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/v90/0000000368_0000000368/records_78938_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-019-40854-6"
  }
]
 

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.10.1038/s41598-019-40854-6'

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/s41598-019-40854-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40854-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-019-40854-6'


 

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

211 TRIPLES      21 PREDICATES      65 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-019-40854-6 schema:about anzsrc-for:17
2 anzsrc-for:1701
3 schema:author N333847700cd84fa29b85609ced057f92
4 schema:citation sg:pub.10.1038/srep16899
5 sg:pub.10.1186/s12889-015-1391-4
6 sg:pub.10.3758/bf03206482
7 https://doi.org/10.1006/jevp.1999.0151
8 https://doi.org/10.1016/0272-4944(95)90001-2
9 https://doi.org/10.1016/0304-3959(96)02994-6
10 https://doi.org/10.1016/j.cognition.2018.01.011
11 https://doi.org/10.1016/j.ecolecon.2004.06.015
12 https://doi.org/10.1016/j.ecolecon.2005.12.005
13 https://doi.org/10.1016/j.ecolecon.2015.11.005
14 https://doi.org/10.1016/j.gloenvcha.2013.03.010
15 https://doi.org/10.1016/j.jenvp.2010.04.004
16 https://doi.org/10.1016/j.socec.2005.11.002
17 https://doi.org/10.1016/j.socscimed.2010.01.002
18 https://doi.org/10.1016/j.socscimed.2014.01.048
19 https://doi.org/10.1016/s0272-4944(02)00109-3
20 https://doi.org/10.1016/s0272-4944(05)80254-3
21 https://doi.org/10.1037/0033-2909.125.2.276
22 https://doi.org/10.1037/xge0000321
23 https://doi.org/10.1073/pnas.1510459112
24 https://doi.org/10.1080/01426397.2013.829806
25 https://doi.org/10.1080/01426397908705892
26 https://doi.org/10.1080/09603120500155963
27 https://doi.org/10.1080/17533010802528108
28 https://doi.org/10.1093/biosci/bix149
29 https://doi.org/10.1098/rsos.170170
30 https://doi.org/10.1111/j.1467-9442.2008.00542.x
31 https://doi.org/10.1126/science.1103572
32 https://doi.org/10.1126/science.1167742
33 https://doi.org/10.1126/science.1171990
34 https://doi.org/10.1146/annurev.clinpsy.3.022806.091415
35 https://doi.org/10.1177/0956797612464659
36 https://doi.org/10.1257/089533006776526076
37 https://doi.org/10.3389/fpsyg.2015.00471
38 https://doi.org/10.3389/fpsyg.2017.00632
39 https://doi.org/10.4135/9781412984201
40 schema:datePublished 2019-12
41 schema:datePublishedReg 2019-12-01
42 schema:description Does spending time in beautiful settings boost people's happiness? The answer to this question has long remained elusive due to a paucity of large-scale data on environmental aesthetics and individual happiness. Here, we draw on two novel datasets: first, individual happiness data from the smartphone app, Mappiness, and second, crowdsourced ratings of the "scenicness" of photographs taken across England from the online game Scenic-Or-Not. We find that individuals are happier in more scenic locations, even when we account for a range of factors such as the activity the individual was engaged in at the time, weather conditions and the income of local inhabitants. Crucially, this relationship holds not only in natural environments, but in built-up areas too, even after controlling for the presence of green space. Our results provide evidence that the aesthetics of the environments that policymakers choose to build or demolish may have consequences for our everyday wellbeing.
43 schema:genre research_article
44 schema:inLanguage en
45 schema:isAccessibleForFree true
46 schema:isPartOf N98dfe4d16b45430cba693175d433d159
47 Nedac6e46e2894ead8e3d38031fbbd3eb
48 sg:journal.1045337
49 schema:name Happiness is Greater in More Scenic Locations
50 schema:pagination 4498
51 schema:productId N1d42be9f7c0e4baba8edeb405617b877
52 N5eb5281d9f534542a1040dc9ffa6e72e
53 N8ddf3fc543a2407ebae359e9ec4774b7
54 N9ddee740474a4827888b5c9165b682c1
55 Nbaef3f8abd134b6192b6c2e17ec64bc0
56 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112768076
57 https://doi.org/10.1038/s41598-019-40854-6
58 schema:sdDatePublished 2019-04-11T13:18
59 schema:sdLicense https://scigraph.springernature.com/explorer/license/
60 schema:sdPublisher N97552d55a42b4c3da76ed7750db76198
61 schema:url https://www.nature.com/articles/s41598-019-40854-6
62 sgo:license sg:explorer/license/
63 sgo:sdDataset articles
64 rdf:type schema:ScholarlyArticle
65 N1b20e26d4ff0422fa065aa90275e55d5 rdf:first N6ac646245096407792198560a6ad0e2b
66 rdf:rest N573c957bbba14a6087481cbf61af57d5
67 N1d42be9f7c0e4baba8edeb405617b877 schema:name nlm_unique_id
68 schema:value 101563288
69 rdf:type schema:PropertyValue
70 N333847700cd84fa29b85609ced057f92 rdf:first N7c7c163adffe4480b3073908b7cce021
71 rdf:rest N1b20e26d4ff0422fa065aa90275e55d5
72 N573c957bbba14a6087481cbf61af57d5 rdf:first Naa0ded0ad55449c58662fbfa967b5307
73 rdf:rest Ncb47b64d73d24d29b4c237870b5e6180
74 N5eb5281d9f534542a1040dc9ffa6e72e schema:name readcube_id
75 schema:value e5aa73937354dd3b00c2551d5178f052806877a0c51f437c14999d48b9c283ca
76 rdf:type schema:PropertyValue
77 N6ac646245096407792198560a6ad0e2b schema:affiliation https://www.grid.ac/institutes/grid.189504.1
78 schema:familyName Preis
79 schema:givenName Tobias
80 rdf:type schema:Person
81 N7c7c163adffe4480b3073908b7cce021 schema:affiliation https://www.grid.ac/institutes/grid.7372.1
82 schema:familyName Seresinhe
83 schema:givenName Chanuki Illushka
84 rdf:type schema:Person
85 N8ddf3fc543a2407ebae359e9ec4774b7 schema:name dimensions_id
86 schema:value pub.1112768076
87 rdf:type schema:PropertyValue
88 N97552d55a42b4c3da76ed7750db76198 schema:name Springer Nature - SN SciGraph project
89 rdf:type schema:Organization
90 N98dfe4d16b45430cba693175d433d159 schema:volumeNumber 9
91 rdf:type schema:PublicationVolume
92 N9ddee740474a4827888b5c9165b682c1 schema:name pubmed_id
93 schema:value 30872776
94 rdf:type schema:PropertyValue
95 Naa0ded0ad55449c58662fbfa967b5307 schema:affiliation https://www.grid.ac/institutes/grid.12082.39
96 schema:familyName MacKerron
97 schema:givenName George
98 rdf:type schema:Person
99 Nb7db06ef7d924de2be54efa1c5c62e31 schema:affiliation https://www.grid.ac/institutes/grid.189504.1
100 schema:familyName Moat
101 schema:givenName Helen Susannah
102 rdf:type schema:Person
103 Nbaef3f8abd134b6192b6c2e17ec64bc0 schema:name doi
104 schema:value 10.1038/s41598-019-40854-6
105 rdf:type schema:PropertyValue
106 Ncb47b64d73d24d29b4c237870b5e6180 rdf:first Nb7db06ef7d924de2be54efa1c5c62e31
107 rdf:rest rdf:nil
108 Nedac6e46e2894ead8e3d38031fbbd3eb schema:issueNumber 1
109 rdf:type schema:PublicationIssue
110 anzsrc-for:17 schema:inDefinedTermSet anzsrc-for:
111 schema:name Psychology and Cognitive Sciences
112 rdf:type schema:DefinedTerm
113 anzsrc-for:1701 schema:inDefinedTermSet anzsrc-for:
114 schema:name Psychology
115 rdf:type schema:DefinedTerm
116 sg:grant.2763901 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-019-40854-6
117 rdf:type schema:MonetaryGrant
118 sg:grant.2784277 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-019-40854-6
119 rdf:type schema:MonetaryGrant
120 sg:grant.4576507 http://pending.schema.org/fundedItem sg:pub.10.1038/s41598-019-40854-6
121 rdf:type schema:MonetaryGrant
122 sg:journal.1045337 schema:issn 2045-2322
123 schema:name Scientific Reports
124 rdf:type schema:Periodical
125 sg:pub.10.1038/srep16899 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041367919
126 https://doi.org/10.1038/srep16899
127 rdf:type schema:CreativeWork
128 sg:pub.10.1186/s12889-015-1391-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017784116
129 https://doi.org/10.1186/s12889-015-1391-4
130 rdf:type schema:CreativeWork
131 sg:pub.10.3758/bf03206482 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046462266
132 https://doi.org/10.3758/bf03206482
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1006/jevp.1999.0151 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009952896
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1016/0272-4944(95)90001-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002643077
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1016/0304-3959(96)02994-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046508979
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1016/j.cognition.2018.01.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100945713
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1016/j.ecolecon.2004.06.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002807563
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/j.ecolecon.2005.12.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006555841
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/j.ecolecon.2015.11.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014476173
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/j.gloenvcha.2013.03.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044651859
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/j.jenvp.2010.04.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030763565
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/j.socec.2005.11.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014194029
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/j.socscimed.2010.01.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041774238
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/j.socscimed.2014.01.048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000451757
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/s0272-4944(02)00109-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018106144
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/s0272-4944(05)80254-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032131466
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1037/0033-2909.125.2.276 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031303223
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1037/xge0000321 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085764647
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1073/pnas.1510459112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008274093
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1080/01426397.2013.829806 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017342528
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1080/01426397908705892 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022238692
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1080/09603120500155963 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040162027
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1080/17533010802528108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046775356
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1093/biosci/bix149 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092771102
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1098/rsos.170170 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090777860
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1111/j.1467-9442.2008.00542.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1044959637
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1126/science.1103572 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016178148
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1126/science.1167742 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062459206
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1126/science.1171990 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062460014
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1146/annurev.clinpsy.3.022806.091415 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023599836
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1177/0956797612464659 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000058149
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1257/089533006776526076 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064525061
193 rdf:type schema:CreativeWork
194 https://doi.org/10.3389/fpsyg.2015.00471 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048049964
195 rdf:type schema:CreativeWork
196 https://doi.org/10.3389/fpsyg.2017.00632 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085080893
197 rdf:type schema:CreativeWork
198 https://doi.org/10.4135/9781412984201 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095899825
199 rdf:type schema:CreativeWork
200 https://www.grid.ac/institutes/grid.12082.39 schema:alternateName University of Sussex
201 schema:name Department of Economics, University of Sussex, Jubilee Building, Falmer, BN1 9SL, Brighton, UK
202 rdf:type schema:Organization
203 https://www.grid.ac/institutes/grid.189504.1 schema:alternateName Boston University
204 schema:name Data Science Lab, Behavioural Science, Warwick Business School, University of Warwick, CV4 7AL, Coventry, UK
205 Department of Physics, Boston University, 590 Commonwealth Avenue, 02215, Boston, Massachusetts, USA
206 The Alan Turing Institute, British Library, 96 Euston Road, NW1 2DB, London, UK
207 rdf:type schema:Organization
208 https://www.grid.ac/institutes/grid.7372.1 schema:alternateName University of Warwick
209 schema:name Data Science Lab, Behavioural Science, Warwick Business School, University of Warwick, CV4 7AL, Coventry, UK
210 The Alan Turing Institute, British Library, 96 Euston Road, NW1 2DB, London, UK
211 rdf:type schema:Organization
 




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


...