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U.Taxonstand: An R package for standardizing scientific names of plants and animals

The scientific names of organisms are key identifiers of plants and animals. Correctly treating scientific names is a prerequisite for biodiversity research and documentation. Here, we present an R package, ‘U.Taxonstand’, which can standardize and harmonize scientific names in plant and animal spec...

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Detalles Bibliográficos
Autores principales: Zhang, Jian, Qian, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Kunming Institute of Botany, Chinese Academy of Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975469/
https://www.ncbi.nlm.nih.gov/pubmed/36876314
http://dx.doi.org/10.1016/j.pld.2022.09.001
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author Zhang, Jian
Qian, Hong
author_facet Zhang, Jian
Qian, Hong
author_sort Zhang, Jian
collection PubMed
description The scientific names of organisms are key identifiers of plants and animals. Correctly treating scientific names is a prerequisite for biodiversity research and documentation. Here, we present an R package, ‘U.Taxonstand’, which can standardize and harmonize scientific names in plant and animal species lists at a fast speed and at a high rate of matching success. Unlike most of other similar R packages each of which works with only one taxonomic database, U.Taxonstand can work with all taxonomic databases, as long as they are properly formatted. Multiple databases for plants and animals that can be directly used by U.Taxonstand, which include bryophytes, vascular plants, amphibians, birds, fishes, mammals, and reptiles, are available online. U.Taxonstand can be a very useful tool for botanists, zoologists, ecologists and biogeographers to standardize and harmonize scientific names of organisms.
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spelling pubmed-99754692023-03-02 U.Taxonstand: An R package for standardizing scientific names of plants and animals Zhang, Jian Qian, Hong Plant Divers Short Communication The scientific names of organisms are key identifiers of plants and animals. Correctly treating scientific names is a prerequisite for biodiversity research and documentation. Here, we present an R package, ‘U.Taxonstand’, which can standardize and harmonize scientific names in plant and animal species lists at a fast speed and at a high rate of matching success. Unlike most of other similar R packages each of which works with only one taxonomic database, U.Taxonstand can work with all taxonomic databases, as long as they are properly formatted. Multiple databases for plants and animals that can be directly used by U.Taxonstand, which include bryophytes, vascular plants, amphibians, birds, fishes, mammals, and reptiles, are available online. U.Taxonstand can be a very useful tool for botanists, zoologists, ecologists and biogeographers to standardize and harmonize scientific names of organisms. Kunming Institute of Botany, Chinese Academy of Sciences 2022-09-08 /pmc/articles/PMC9975469/ /pubmed/36876314 http://dx.doi.org/10.1016/j.pld.2022.09.001 Text en © 2022 Kunming Institute of Botany, Chinese Academy of Sciences. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Short Communication
Zhang, Jian
Qian, Hong
U.Taxonstand: An R package for standardizing scientific names of plants and animals
title U.Taxonstand: An R package for standardizing scientific names of plants and animals
title_full U.Taxonstand: An R package for standardizing scientific names of plants and animals
title_fullStr U.Taxonstand: An R package for standardizing scientific names of plants and animals
title_full_unstemmed U.Taxonstand: An R package for standardizing scientific names of plants and animals
title_short U.Taxonstand: An R package for standardizing scientific names of plants and animals
title_sort u.taxonstand: an r package for standardizing scientific names of plants and animals
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9975469/
https://www.ncbi.nlm.nih.gov/pubmed/36876314
http://dx.doi.org/10.1016/j.pld.2022.09.001
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