French Defence Health Service View Homepage


Ontology type: grid:Government  | foaf:Organization     


Organization Info

Publications in SciGraph latest 20 shown

  • 2017-11-01 MesVaccins.net : une approche disruptive pour relever les défis de la vaccination in MÉDECINE ET SANTÉ TROPICALES
  • 2016-12 Factors associated with malaria chemoprophylaxis compliance among French service members deployed in Central African Republic in MALARIA JOURNAL
  • 2016-10 Prise en charge globale du patient contaminé par le virus Ebola, expérience du Centre de traitement des soignants de Conakry, Guinée in BULLETIN DE LA SOCIÉTÉ DE PATHOLOGIE EXOTIQUE
  • 2016-05 Erratum to: Retour d’expérience des attentats du 13 novembre 2015. La régulation médicale zonale in ANNALES FRANÇAISES DE MÉDECINE D'URGENCE
  • 2016-05 Les missions de secours héliportés du Centre Médical des Armées de Solenzara in ANNALES FRANÇAISES DE MÉDECINE D'URGENCE
  • 2016-02 Retour d’expérience des attentats du 13 novembre 2015. La régulation médicale zonale in ANNALES FRANÇAISES DE MÉDECINE D'URGENCE
  • 2015-12 Effects of exercise on brain and peripheral inflammatory biomarkers induced by total sleep deprivation in rats in JOURNAL OF INFLAMMATION
  • 2015-02 Achilles tendon vibration-induced changes in plantar flexor corticospinal excitability in EXPERIMENTAL BRAIN RESEARCH
  • 2015 Droit dans les yeux ! in MÉDECINE ET SANTÉ TROPICALES
  • 2011-11 Une anémie chronique d’origine tropicale in ANNALES FRANÇAISES DE MÉDECINE D'URGENCE
  • 2010-02 Mise en évidence de la présence de leptospires chez le rat (Rattus rattus) sur deux îles du canal du Mozambique: Europa et Juan-de-Nova in BULLETIN DE LA SOCIÉTÉ DE PATHOLOGIE EXOTIQUE
  • 2009 Ergonomic Approach for the Conception of a Theatre Medical Regulation System in HUMAN CENTERED DESIGN
  • 2002-08 Time processing reflected by EEG surface Laplacians in EXPERIMENTAL BRAIN RESEARCH
  • 2002 An Ecological Approach to Metacognitive Regulation in the Adult in METACOGNITION
  • 1994-08 Attitude of the French Armed Forces Health Service to the risk of influenza pandemic in EUROPEAN JOURNAL OF EPIDEMIOLOGY
  • JSON-LD is the canonical representation for SciGraph data.

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "foaf:homepage": [
          {
            "id": "http://www.defense.gouv.fr/english/sante"
          }
        ], 
        "grid:establishedYear": [
          {
            "@value": "1708-01-01", 
            "type": "http://www.w3.org/2001/XMLSchema#gYear"
          }
        ], 
        "grid:hasAddress": [
          {
            "id": "http://www.grid.ac/institutes/grid.476258.a/address-0"
          }
        ], 
        "grid:id": [
          {
            "@value": "grid.476258.a"
          }
        ], 
        "grid:wikipediaPage": [
          {
            "id": "https://en.wikipedia.org/wiki/French_Defence_Health_Service"
          }
        ], 
        "id": "http://www.grid.ac/institutes/grid.476258.a", 
        "rdfs:label": "French Defence Health Service", 
        "sdDataset": "grid", 
        "skos:prefLabel": [
          {
            "@value": "French Defence Health Service"
          }
        ], 
        "type": [
          "http://xmlns.com/foaf/0.1/Organization", 
          "http://www.grid.ac/ontology/Government"
        ], 
        "vivo:abbreviation": [
          {
            "@value": "SSA"
          }
        ]
      }, 
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "geo-pos:lat": [
          {
            "@value": "49.111924", 
            "type": "http://www.w3.org/2001/XMLSchema#float"
          }
        ], 
        "geo-pos:long": [
          {
            "@value": "6.191869", 
            "type": "http://www.w3.org/2001/XMLSchema#float"
          }
        ], 
        "grid:cityName": [
          {
            "@value": "Metz"
          }
        ], 
        "grid:countryCode": [
          {
            "@value": "FR"
          }
        ], 
        "grid:countryName": [
          {
            "@value": "France"
          }
        ], 
        "grid:hasGeonamesCity": [
          {
            "id": "http://sws.geonames.org/2994160/"
          }
        ], 
        "id": "http://www.grid.ac/institutes/grid.476258.a/address-0", 
        "sdDataset": "grid", 
        "type": [
          "http://www.grid.ac/ontology/Address"
        ]
      }
    ]
     

    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://www.grid.ac/institutes/grid.476258.a'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://www.grid.ac/institutes/grid.476258.a'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://www.grid.ac/institutes/grid.476258.a'

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

    curl -H 'Accept: application/rdf+xml' 'https://www.grid.ac/institutes/grid.476258.a'


     

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

    19 TRIPLES      10 PREDICATES      11 URIs      5 LITERALS

    Subject Predicate Object
    1 grid-institutes:grid.476258.a sgo:sdDataset grid
    2 vivo:abbreviation SSA
    3 grid:establishedYear 1708-01-01
    4 grid:hasAddress grid-institutes:grid.476258.a/address-0
    5 grid:id grid.476258.a
    6 grid:wikipediaPage https://en.wikipedia.org/wiki/French_Defence_Health_Service
    7 rdf:type grid:Government
    8 foaf:Organization
    9 rdfs:label French Defence Health Service
    10 skos:prefLabel French Defence Health Service
    11 foaf:homepage http://www.defense.gouv.fr/english/sante
    12 grid-institutes:grid.476258.a/address-0 sgo:sdDataset grid
    13 grid:cityName Metz
    14 grid:countryCode FR
    15 grid:countryName France
    16 grid:hasGeonamesCity http://sws.geonames.org/2994160/
    17 rdf:type grid:Address
    18 geo-pos:lat 49.111924
    19 geo-pos:long 6.191869
     




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