The German Food Code and Nutrient Data Base (BLS II.2) View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1999-04

AUTHORS

Lutz Ingo Dehne, Christine Klemm, Gernot Henseler, Edelgard Hermann-Kunz

ABSTRACT

This article describes the conception and structure of the German Food Code and Nutrient Data Base (BLS). The data bank contains approx. 12,000 coded foods, menus and menu components in different stages of processing with up to 158 nutritional data for each product. Since comparatively few analytical data on the composition of foods are available, the majority of the data in the BLS are based on nutritional data calculated from recipes. Thus, a standard instrument for an uninterrupted (no missing values) evaluation of consumption surveys is made available. More... »

PAGES

355-358

Identifiers

URI

http://scigraph.springernature.com/pub.10.1023/a:1007534427681

DOI

http://dx.doi.org/10.1023/a:1007534427681

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1047215108

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/10414376


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/2008/0908", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Food Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Databases as Topic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Food", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Germany", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nutritive Value", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Federal Institute for Health Protection of Consumers and Veterinary Medicine", 
          "id": "https://www.grid.ac/institutes/grid.414814.c", 
          "name": [
            "Federal Institute for Health Protection of Consumers and Veterinary Medicine (BgVV), Berlin, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dehne", 
        "givenName": "Lutz Ingo", 
        "id": "sg:person.012767260305.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012767260305.85"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Federal Institute for Health Protection of Consumers and Veterinary Medicine", 
          "id": "https://www.grid.ac/institutes/grid.414814.c", 
          "name": [
            "Federal Institute for Health Protection of Consumers and Veterinary Medicine (BgVV), Berlin, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Klemm", 
        "givenName": "Christine", 
        "id": "sg:person.01201130636.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201130636.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Federal Institute for Health Protection of Consumers and Veterinary Medicine", 
          "id": "https://www.grid.ac/institutes/grid.414814.c", 
          "name": [
            "Federal Institute for Health Protection of Consumers and Veterinary Medicine (BgVV), Berlin, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Henseler", 
        "givenName": "Gernot", 
        "id": "sg:person.01315357236.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01315357236.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Robert Koch Institute", 
          "id": "https://www.grid.ac/institutes/grid.13652.33", 
          "name": [
            "Robert Koch-Institute (RKI), Federal Institute for Infectious and Noninfectious Diseases, Berlin, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hermann-Kunz", 
        "givenName": "Edelgard", 
        "id": "sg:person.01031107566.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031107566.04"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "1999-04", 
    "datePublishedReg": "1999-04-01", 
    "description": "This article describes the conception and structure of the German Food Code and Nutrient Data Base (BLS). The data bank contains approx. 12,000 coded foods, menus and menu components in different stages of processing with up to 158 nutritional data for each product. Since comparatively few analytical data on the composition of foods are available, the majority of the data in the BLS are based on nutritional data calculated from recipes. Thus, a standard instrument for an uninterrupted (no missing values) evaluation of consumption surveys is made available.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1023/a:1007534427681", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1095636", 
        "issn": [
          "0393-2990", 
          "1573-7284"
        ], 
        "name": "European Journal of Epidemiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "15"
      }
    ], 
    "name": "The German Food Code and Nutrient Data Base (BLS II.2)", 
    "pagination": "355-358", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "e0eb09831cefbcae3d7b9c564a55f28564f962149d730bd9ad33869cf7e31c21"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "10414376"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8508062"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1023/a:1007534427681"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1047215108"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1023/a:1007534427681", 
      "https://app.dimensions.ai/details/publication/pub.1047215108"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:49", 
    "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/v90/0000000001_0000000264/records_8664_00000501.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1023/A:1007534427681"
  }
]
 

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.10.1023/a:1007534427681'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1023/a:1007534427681'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1023/a:1007534427681'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1023/a:1007534427681'


 

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

109 TRIPLES      20 PREDICATES      33 URIs      25 LITERALS      13 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1023/a:1007534427681 schema:about N50085a1da5b747a5a142f9d16bc5e16a
2 N8242ecded6354b9197617fb3197b73f1
3 N8b3b283899af470987e9788c937875f4
4 Na3d8e20f5b9e4e56bfbf113e984a228c
5 anzsrc-for:09
6 anzsrc-for:0908
7 schema:author N460421a7cb0046919896ead0a314deff
8 schema:datePublished 1999-04
9 schema:datePublishedReg 1999-04-01
10 schema:description This article describes the conception and structure of the German Food Code and Nutrient Data Base (BLS). The data bank contains approx. 12,000 coded foods, menus and menu components in different stages of processing with up to 158 nutritional data for each product. Since comparatively few analytical data on the composition of foods are available, the majority of the data in the BLS are based on nutritional data calculated from recipes. Thus, a standard instrument for an uninterrupted (no missing values) evaluation of consumption surveys is made available.
11 schema:genre research_article
12 schema:inLanguage en
13 schema:isAccessibleForFree false
14 schema:isPartOf N83be89c845804957acf797149319c4a6
15 N913758c3b3a0445595f5193de3163763
16 sg:journal.1095636
17 schema:name The German Food Code and Nutrient Data Base (BLS II.2)
18 schema:pagination 355-358
19 schema:productId N089ecc27668d420b8d58da2ffba32d6c
20 N7cc59828fd854e029917dd6991f5d837
21 N8fff327fff2e429cb8faf9f1c7dc9a1b
22 Ne3805de156d44c8496ee08b65a119267
23 Ne8a11c9fefb44089b4573c7b842878bb
24 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047215108
25 https://doi.org/10.1023/a:1007534427681
26 schema:sdDatePublished 2019-04-10T15:49
27 schema:sdLicense https://scigraph.springernature.com/explorer/license/
28 schema:sdPublisher N9729931648914ce1a69337b5d45bc835
29 schema:url http://link.springer.com/10.1023/A:1007534427681
30 sgo:license sg:explorer/license/
31 sgo:sdDataset articles
32 rdf:type schema:ScholarlyArticle
33 N089ecc27668d420b8d58da2ffba32d6c schema:name doi
34 schema:value 10.1023/a:1007534427681
35 rdf:type schema:PropertyValue
36 N23352393631744f5b5b57a4b8a63aa8f rdf:first sg:person.01031107566.04
37 rdf:rest rdf:nil
38 N460421a7cb0046919896ead0a314deff rdf:first sg:person.012767260305.85
39 rdf:rest Ne31caf8241674b9bb16263ebac38b956
40 N50085a1da5b747a5a142f9d16bc5e16a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
41 schema:name Germany
42 rdf:type schema:DefinedTerm
43 N7cc59828fd854e029917dd6991f5d837 schema:name readcube_id
44 schema:value e0eb09831cefbcae3d7b9c564a55f28564f962149d730bd9ad33869cf7e31c21
45 rdf:type schema:PropertyValue
46 N8242ecded6354b9197617fb3197b73f1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
47 schema:name Food
48 rdf:type schema:DefinedTerm
49 N83be89c845804957acf797149319c4a6 schema:issueNumber 4
50 rdf:type schema:PublicationIssue
51 N8b3b283899af470987e9788c937875f4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
52 schema:name Databases as Topic
53 rdf:type schema:DefinedTerm
54 N8fff327fff2e429cb8faf9f1c7dc9a1b schema:name dimensions_id
55 schema:value pub.1047215108
56 rdf:type schema:PropertyValue
57 N913758c3b3a0445595f5193de3163763 schema:volumeNumber 15
58 rdf:type schema:PublicationVolume
59 N9729931648914ce1a69337b5d45bc835 schema:name Springer Nature - SN SciGraph project
60 rdf:type schema:Organization
61 Na3d8e20f5b9e4e56bfbf113e984a228c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
62 schema:name Nutritive Value
63 rdf:type schema:DefinedTerm
64 Ndf20a295a167410d9cf099dbb5e30f38 rdf:first sg:person.01315357236.00
65 rdf:rest N23352393631744f5b5b57a4b8a63aa8f
66 Ne31caf8241674b9bb16263ebac38b956 rdf:first sg:person.01201130636.47
67 rdf:rest Ndf20a295a167410d9cf099dbb5e30f38
68 Ne3805de156d44c8496ee08b65a119267 schema:name nlm_unique_id
69 schema:value 8508062
70 rdf:type schema:PropertyValue
71 Ne8a11c9fefb44089b4573c7b842878bb schema:name pubmed_id
72 schema:value 10414376
73 rdf:type schema:PropertyValue
74 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
75 schema:name Engineering
76 rdf:type schema:DefinedTerm
77 anzsrc-for:0908 schema:inDefinedTermSet anzsrc-for:
78 schema:name Food Sciences
79 rdf:type schema:DefinedTerm
80 sg:journal.1095636 schema:issn 0393-2990
81 1573-7284
82 schema:name European Journal of Epidemiology
83 rdf:type schema:Periodical
84 sg:person.01031107566.04 schema:affiliation https://www.grid.ac/institutes/grid.13652.33
85 schema:familyName Hermann-Kunz
86 schema:givenName Edelgard
87 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031107566.04
88 rdf:type schema:Person
89 sg:person.01201130636.47 schema:affiliation https://www.grid.ac/institutes/grid.414814.c
90 schema:familyName Klemm
91 schema:givenName Christine
92 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201130636.47
93 rdf:type schema:Person
94 sg:person.012767260305.85 schema:affiliation https://www.grid.ac/institutes/grid.414814.c
95 schema:familyName Dehne
96 schema:givenName Lutz Ingo
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012767260305.85
98 rdf:type schema:Person
99 sg:person.01315357236.00 schema:affiliation https://www.grid.ac/institutes/grid.414814.c
100 schema:familyName Henseler
101 schema:givenName Gernot
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01315357236.00
103 rdf:type schema:Person
104 https://www.grid.ac/institutes/grid.13652.33 schema:alternateName Robert Koch Institute
105 schema:name Robert Koch-Institute (RKI), Federal Institute for Infectious and Noninfectious Diseases, Berlin, Germany
106 rdf:type schema:Organization
107 https://www.grid.ac/institutes/grid.414814.c schema:alternateName Federal Institute for Health Protection of Consumers and Veterinary Medicine
108 schema:name Federal Institute for Health Protection of Consumers and Veterinary Medicine (BgVV), Berlin, Germany
109 rdf:type schema:Organization
 




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


...