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Building compatible and dynamic character matrices - Current and future use of specimen-based character data

机译:构建兼容动态字符矩阵 - 基于样本的字符数据的当前和未来使用

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Herbarium specimens have always played a central role in plant sciences and constitute the cornerstone for systematic and taxonomy. This role is further strengthened with the ongoing digitisation and growing online-availability of collections all over the globe. The increasing usability of specimens demands, however, an improved use and sustainable handling of specimen data not only in new scientific uses correlated with the digitisation, but also by modern workflows applied to the traditional purpose of specimens. A crucial step in the comparative analyses of organisms is the preparation of a character matrix to observe and assess the morphological extent and variability of taxa on the basis of individual specimens. This process and the resulting matrix often are of ephemeral nature since only its results are published in a condensed form. The data relationships are usually not stored, making a re-use impossible and a new analysis inevitable. To overcome the limitations of conventional taxonomy, we here introduce a comprehensive workflow that is currently being implemented on the EDIT Platform for Cybertaxonomy.
机译:植物标目标本始终在植物科学中发挥着核心作用,构成了系统和分类的基石。随着持续的数字化和在全球收藏品的持续数字化和在线可用性进一步加强了这一作用。然而,标本要求的增加的可用性不仅有一种改进的使用和可持续处理标本数据,而不仅与数字化相关的新的科学用途,而且通过现代工作流程应用于传统的标本目的。生物体对比分析中的一个关键步骤是在个性矩阵的基础上观察和评估类别的形态范围和变异性。该方法和所得基质通常是短暂性的,因为只有其结果以冷凝形式公布。通常未存储数据关系,重新使用不可能和新的分析不可避免。为了克服常规分类学的局限性,我们在这里介绍了目前正在在Cyber​​ Taxonomy的编辑平台上实施的全面工作流程。

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