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A botanical demonstration of the potential of linking data using unique identifiers for people.
Güntsch, Anton; Groom, Quentin; Ernst, Marcus; Holetschek, Jörg; Plank, Andreas; Röpert, Dominik; Fichtmüller, David; Shorthouse, David Peter; Hyam, Roger; Dillen, Mathias; Trekels, Maarten; Haston, Elspeth; Rainer, Heimo.
Affiliation
  • Güntsch A; Botanic Garden and Botanical Museum Berlin, Freie Universität Berlin, Berlin, Germany.
  • Groom Q; Biodiversity Informatics, Meise Botanic Garden, Meise, Belgium.
  • Ernst M; Botanic Garden and Botanical Museum Berlin, Freie Universität Berlin, Berlin, Germany.
  • Holetschek J; Botanic Garden and Botanical Museum Berlin, Freie Universität Berlin, Berlin, Germany.
  • Plank A; Botanic Garden and Botanical Museum Berlin, Freie Universität Berlin, Berlin, Germany.
  • Röpert D; Botanic Garden and Botanical Museum Berlin, Freie Universität Berlin, Berlin, Germany.
  • Fichtmüller D; Botanic Garden and Botanical Museum Berlin, Freie Universität Berlin, Berlin, Germany.
  • Shorthouse DP; Biodiversity and Bioresources, Agriculture and Agri-Food Canada, Ottawa, Canada.
  • Hyam R; Major Floras, Royal Botanic Garden Edinburgh, Edinburgh, United Kingdom.
  • Dillen M; Biodiversity Informatics, Meise Botanic Garden, Meise, Belgium.
  • Trekels M; Biodiversity Informatics, Meise Botanic Garden, Meise, Belgium.
  • Haston E; Department of Science, Royal Botanic Garden Edinburgh, Edinburgh, United Kingdom.
  • Rainer H; Division of Systematic and Evolutionary Botany, Universität Wien, Vienna, Austria.
PLoS One ; 16(12): e0261130, 2021.
Article in En | MEDLINE | ID: mdl-34905557
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Data Collection / Databases, Factual / Information Storage and Retrieval Type of study: Prognostic_studies Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2021 Document type: Article Affiliation country: Alemania Country of publication: Estados Unidos
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Data Collection / Databases, Factual / Information Storage and Retrieval Type of study: Prognostic_studies Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2021 Document type: Article Affiliation country: Alemania Country of publication: Estados Unidos