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/2008/0299", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Other Physical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/02", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "The Joint Institute of Mechanical Engineering", 
          "id": "https://www.grid.ac/institutes/grid.494915.4", 
          "name": [
            "Joint Institute of Mechanical Engineering, Bellarussian National Academy of Sciences, ul. Akademicheskaya 12, 220072, Minsk, Republic of Belarus"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sandomirskii", 
        "givenName": "S. G.", 
        "id": "sg:person.011336170133.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011336170133.88"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1134/s0031918x14100068", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014398811", 
          "https://doi.org/10.1134/s0031918x14100068"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0036029514030094", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031282952", 
          "https://doi.org/10.1134/s0036029514030094"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1134/s0036029511030153", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032320836", 
          "https://doi.org/10.1134/s0036029511030153"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.14489/td.2014.12.pp.028-033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067328209"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-07", 
    "datePublishedReg": "2016-07-01", 
    "description": "It is shown that the maximum differential magnetic permeability (\u03bcdm) and susceptibility (\u03c7dm) of steel are fully determined by its coercive force, remanent magnetization, and technical saturation magnetization. The sensitivity of \u03c7dm to the structure- and phase-sensitive parameters of a metal is analyzed. The problems of controlling metal manufacture conditions that can be solved by measuring \u03c7dm or \u03bcdm are determined.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1134/s0036029516070144", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1135985", 
        "issn": [
          "0036-0295", 
          "1555-6255"
        ], 
        "name": "Russian Metallurgy (Metally)", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "7", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "2016"
      }
    ], 
    "name": "Structural and phase sensitivity of the maximum differential magnetic susceptibility of steel", 
    "pagination": "619-624", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "172f1d01e435ba17e62ed25748f949b002b974f75f8e098ef7e5f9318cc05d37"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s0036029516070144"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1004865348"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s0036029516070144", 
      "https://app.dimensions.ai/details/publication/pub.1004865348"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:10", 
    "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/v90/0000000367_0000000367/records_88247_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1134%2FS0036029516070144"
  }
]

Download the RDF metadata as:  json-ld nt turtle xml License info

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

76 TRIPLES      21 PREDICATES      31 URIs      19 LITERALS      7 BLANK NODES