species name matching

  • 文章类型: Journal Article
    生物的科学名称是植物和动物的关键标识符。正确处理科学名称是生物多样性研究和文献记录的先决条件。这里,我们提供一个R包,\'U.滑铁台\',它可以以快速的速度和高的匹配成功率标准化和协调植物和动物物种清单中的科学名称。与大多数其他类似的R软件包不同,每个软件包都只使用一个分类数据库,U.Taxonstand可以使用所有分类数据库,只要它们的格式正确。可以直接由U.Taxonstand使用的植物和动物的多个数据库,其中包括苔藓植物,维管植物,两栖动物,鸟,鱼,哺乳动物,和爬行动物,可在线获得。U.Taxonstand对植物学家来说是一个非常有用的工具,动物学家,生态学家和生物地理学家规范和协调生物的科学名称。
    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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  • 文章类型: Journal Article
    目的:植物名称的标准化是生物学各个领域的关键一步,包括生物多样性,生物地理学,和植被研究。此处介绍了WorldFlora软件包,以通过将植物名称列表与来自WorldFloraOnline(WFO)的静态副本进行匹配来帮助实现这一目标,正在进行的全球努力,到2020年完成所有已知维管植物和苔藓植物的在线植物区系。
    结果:基于直接和模糊匹配,WorldFlora将来自WFO的匹配案例插入到包含分类名称的提交数据集。为四个数据集提供了选择预期最佳单个匹配的结果和成功率,包括最近比较用于纠正分类单元名称的软件工具的两个数据集。
    结论:WorldFlora为半自动工厂名称检查提供了一条简单的管道。对于四个数据集,可信比赛的成功率从94.7%到99.9%不等。
    OBJECTIVE: The standardization of plant names is a critical step in various fields of biology, including biodiversity, biogeography, and vegetation research. The WorldFlora package is introduced here to help achieve this goal by matching lists of plant names with a static copy from World Flora Online (WFO), an ongoing global effort to complete an online flora of all known vascular plants and bryophytes by 2020.
    RESULTS: Based on direct and fuzzy matching, WorldFlora inserts matching cases from the WFO to a submitted data set containing taxonomic names. The results and success rates for selecting the expected best single matches are presented for four data sets, including two data sets used in recent comparisons of software tools for correcting taxon names.
    CONCLUSIONS: WorldFlora offers a straightforward pipeline for semi-automatic plant name checking. For the four data sets, the success rate of credible matches ranged from 94.7% to 99.9%.
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