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/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1109", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Neurosciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biometry", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Brain", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cell Count", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cell Size", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Neurological", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neurons", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Organ Size", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "T\u00fcbingen; Laboratorio di Scienze Cognitive dell', Universit\u00e0 degli Studi di Trento, via Tartarotti 7, Rovereto", 
          "id": "http://www.grid.ac/institutes/grid.11696.39", 
          "name": [
            "Max-Planck Institute for Biological Cybernetics, Spemannstr. 38", 
            "Institute of Medical Psychology of the University, Gartenstr. 29", 
            "T\u00fcbingen; Laboratorio di Scienze Cognitive dell', Universit\u00e0 degli Studi di Trento, via Tartarotti 7, Rovereto"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Braitenberg", 
        "givenName": "Valentino", 
        "id": "sg:person.012515726701.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012515726701.58"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2001-01", 
    "datePublishedReg": "2001-01-01", 
    "description": "Certain remarkable invariances have long been known in comparative neuroanatomy, such as the proportionality between neuronal density and the inverse of the cubic root of brain volume or that between the square root of brain weight and the cubic root of body weight. Very likely these quantitative relations reflect some general principles of the architecture of neuronal networks. Under the assumption that most of brain volume is due to fibers, we propose four abstract models: I, constant fiber length per neuron; II, fiber length proportionate to brain diameter; III, complete set of connections between all neurons; IV, complete set of connections between compartments each containing the square root of the total number of neurons. Model I conforms well to the cerebellar cortex. Model II yields the observed comparative invariances between number of neurons and brain size. Model III is totally unrealistic, while Model IV is compatible with the volume of the hemispheric white substance in different mammalian species.", 
    "genre": "article", 
    "id": "sg:pub.10.1023/a:1008920127052", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1112739", 
        "issn": [
          "0929-5313", 
          "1573-6873"
        ], 
        "name": "Journal of Computational Neuroscience", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "10"
      }
    ], 
    "keywords": [
      "brain volume", 
      "number of neurons", 
      "neuronal density", 
      "brain weight", 
      "body weight", 
      "cerebellar cortex", 
      "brain size", 
      "neurons", 
      "neuronal networks", 
      "white substance", 
      "different mammalian species", 
      "neuroanatomy", 
      "total number", 
      "mammalian species", 
      "comparative neuroanatomy", 
      "cortex", 
      "weight", 
      "exercise", 
      "volume", 
      "compartments", 
      "number", 
      "substances", 
      "length", 
      "general principles", 
      "fibers", 
      "size", 
      "diameter", 
      "constant fiber length", 
      "Model III", 
      "roots", 
      "fiber length", 
      "connection", 
      "relation", 
      "model", 
      "model I", 
      "quantitative relation", 
      "species", 
      "density", 
      "model IV", 
      "proportionality", 
      "principles", 
      "set", 
      "remarkable invariance", 
      "complete set", 
      "square root", 
      "network", 
      "inverse", 
      "assumption", 
      "yield", 
      "invariance", 
      "architecture", 
      "cubic root", 
      "abstract model"
    ], 
    "name": "Brain Size and Number of Neurons: An Exercise in Synthetic Neuroanatomy", 
    "pagination": "71-77", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1017027965"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1023/a:1008920127052"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "11316341"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1023/a:1008920127052", 
      "https://app.dimensions.ai/details/publication/pub.1017027965"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-08-04T16:53", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_310.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1023/a:1008920127052"
  }
]

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.

148 TRIPLES      20 PREDICATES      87 URIs      79 LITERALS      15 BLANK NODES