Trump budget would slash science programmes across government View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-06-01

AUTHORS

Sara Reardon, Jeff Tollefson, Alexandra Witze, Erin Ross

ABSTRACT

Proposed cuts include 11% at the National Science Foundation, 18% at the National Institutes of Health and 30% at the Environmental Protection Agency.

PAGES

19-20

Journal

TITLE

Nature

ISSUE

7656

VOLUME

546

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nature.2017.22036

DOI

http://dx.doi.org/10.1038/nature.2017.22036

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1085662592

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28569829


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", 
    "author": [
      {
        "familyName": "Reardon", 
        "givenName": "Sara", 
        "id": "sg:person.0711103006.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0711103006.00"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Tollefson", 
        "givenName": "Jeff", 
        "id": "sg:person.01037775301.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01037775301.64"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Witze", 
        "givenName": "Alexandra", 
        "id": "sg:person.01114660051.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114660051.60"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Ross", 
        "givenName": "Erin", 
        "id": "sg:person.015635341113.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015635341113.32"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2017-06-01", 
    "datePublishedReg": "2017-06-01", 
    "description": "Proposed cuts include 11% at the National Science Foundation, 18% at the National Institutes of Health and 30% at the Environmental Protection Agency.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/nature.2017.22036", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1018957", 
        "issn": [
          "0028-0836", 
          "1476-4687"
        ], 
        "name": "Nature", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "7656", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "546"
      }
    ], 
    "keywords": [
      "Environmental Protection Agency", 
      "Protection Agency", 
      "National Science Foundation", 
      "National Institute", 
      "Science Foundation", 
      "budget", 
      "Institute", 
      "cut", 
      "health", 
      "foundation", 
      "agencies", 
      "science programs", 
      "program", 
      "government", 
      "Trump budget"
    ], 
    "name": "Trump budget would slash science programmes across government", 
    "pagination": "19-20", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1085662592"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/nature.2017.22036"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28569829"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/nature.2017.22036", 
      "https://app.dimensions.ai/details/publication/pub.1085662592"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-12-01T19:39", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/article/article_754.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/nature.2017.22036"
  }
]
 

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/nature.2017.22036'

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/nature.2017.22036'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nature.2017.22036'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nature.2017.22036'


 

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

82 TRIPLES      19 PREDICATES      38 URIs      32 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/nature.2017.22036 schema:author Nd397e9c68d144c9683aa0f75b306b49b
2 schema:datePublished 2017-06-01
3 schema:datePublishedReg 2017-06-01
4 schema:description Proposed cuts include 11% at the National Science Foundation, 18% at the National Institutes of Health and 30% at the Environmental Protection Agency.
5 schema:genre article
6 schema:isAccessibleForFree true
7 schema:isPartOf N90e48ec9e7214a48b6cb570325c55d91
8 Ndea647466b824c488c05868f5dc5c0ae
9 sg:journal.1018957
10 schema:keywords Environmental Protection Agency
11 Institute
12 National Institute
13 National Science Foundation
14 Protection Agency
15 Science Foundation
16 Trump budget
17 agencies
18 budget
19 cut
20 foundation
21 government
22 health
23 program
24 science programs
25 schema:name Trump budget would slash science programmes across government
26 schema:pagination 19-20
27 schema:productId N98fea271cda7439783079cab6350a30c
28 Na23d17d5edc14c9cb80690402ffb1540
29 Nf0d85805dc494ad0a186fa676869cded
30 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085662592
31 https://doi.org/10.1038/nature.2017.22036
32 schema:sdDatePublished 2021-12-01T19:39
33 schema:sdLicense https://scigraph.springernature.com/explorer/license/
34 schema:sdPublisher Nd6b4b8ffbc7c47399a95be6f925900cc
35 schema:url https://doi.org/10.1038/nature.2017.22036
36 sgo:license sg:explorer/license/
37 sgo:sdDataset articles
38 rdf:type schema:ScholarlyArticle
39 N40f7dc7d88744a7da929be62e7e2b066 rdf:first sg:person.01114660051.60
40 rdf:rest N93d29c6d181d4127b2bfea37a3f66c5e
41 N83e897a3afdd485fba1cf37a1edca955 rdf:first sg:person.01037775301.64
42 rdf:rest N40f7dc7d88744a7da929be62e7e2b066
43 N90e48ec9e7214a48b6cb570325c55d91 schema:issueNumber 7656
44 rdf:type schema:PublicationIssue
45 N93d29c6d181d4127b2bfea37a3f66c5e rdf:first sg:person.015635341113.32
46 rdf:rest rdf:nil
47 N98fea271cda7439783079cab6350a30c schema:name dimensions_id
48 schema:value pub.1085662592
49 rdf:type schema:PropertyValue
50 Na23d17d5edc14c9cb80690402ffb1540 schema:name doi
51 schema:value 10.1038/nature.2017.22036
52 rdf:type schema:PropertyValue
53 Nd397e9c68d144c9683aa0f75b306b49b rdf:first sg:person.0711103006.00
54 rdf:rest N83e897a3afdd485fba1cf37a1edca955
55 Nd6b4b8ffbc7c47399a95be6f925900cc schema:name Springer Nature - SN SciGraph project
56 rdf:type schema:Organization
57 Ndea647466b824c488c05868f5dc5c0ae schema:volumeNumber 546
58 rdf:type schema:PublicationVolume
59 Nf0d85805dc494ad0a186fa676869cded schema:name pubmed_id
60 schema:value 28569829
61 rdf:type schema:PropertyValue
62 sg:journal.1018957 schema:issn 0028-0836
63 1476-4687
64 schema:name Nature
65 schema:publisher Springer Nature
66 rdf:type schema:Periodical
67 sg:person.01037775301.64 schema:familyName Tollefson
68 schema:givenName Jeff
69 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01037775301.64
70 rdf:type schema:Person
71 sg:person.01114660051.60 schema:familyName Witze
72 schema:givenName Alexandra
73 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114660051.60
74 rdf:type schema:Person
75 sg:person.015635341113.32 schema:familyName Ross
76 schema:givenName Erin
77 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015635341113.32
78 rdf:type schema:Person
79 sg:person.0711103006.00 schema:familyName Reardon
80 schema:givenName Sara
81 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0711103006.00
82 rdf:type schema:Person
 




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


...