Odum School of Ecology, 140 E Green St., University of Georgia, Athens, Georgia, 30602, USA.
Senckenberg Biodiversity and Climate Research Center (BiK-F), Senckenberganlage 25, D-60325, Frankfurt (Main), Germany.
Ecology. 2017 May;98(5):1476. doi: 10.1002/ecy.1799.
Illuminating the ecological and evolutionary dynamics of parasites is one of the most pressing issues facing modern science, and is critical for basic science, the global economy, and human health. Extremely important to this effort are data on the disease-causing organisms of wild animal hosts (including viruses, bacteria, protozoa, helminths, arthropods, and fungi). Here we present an updated version of the Global Mammal Parasite Database, a database of the parasites of wild ungulates (artiodactyls and perissodactyls), carnivores, and primates, and make it available for download as complete flat files. The updated database has more than 24,000 entries in the main data file alone, representing data from over 2700 literature sources. We include data on sampling method and sample sizes when reported, as well as both "reported" and "corrected" (i.e., standardized) binomials for each host and parasite species. Also included are current higher taxonomies and data on transmission modes used by the majority of species of parasites in the database. In the associated metadata we describe the methods used to identify sources and extract data from the primary literature, how entries were checked for errors, methods used to georeference entries, and how host and parasite taxonomies were standardized across the database. We also provide definitions of the data fields in each of the four files that users can download.
阐明寄生虫的生态和进化动态是现代科学面临的最紧迫问题之一，对于基础科学、全球经济和人类健康都至关重要。在此项工作中，极为重要的是有关野生动物宿主（包括病毒、细菌、原生动物、蠕虫、节肢动物和真菌）致病生物的数据。本研究呈现了一个经过更新的全球哺乳动物寄生虫数据库，该数据库包含了野生有蹄类动物（偶蹄目和奇蹄目）、食肉动物和灵长类动物的寄生虫信息，并以完整的平面文件形式提供下载。更新后的数据库仅在主数据文件中就有超过 24000 条记录，代表了来自 2700 多个文献来源的数据。我们在报告中包含了采样方法和样本量的数据，以及每个宿主和寄生虫物种的“报告”和“校正”（即标准化）二名法。还包括数据库中大多数寄生虫物种使用的当前高级分类群和传播模式数据。在相关的元数据中，我们描述了从主要文献中识别来源和提取数据的方法、如何检查条目错误、用于地理参考条目的方法以及如何在整个数据库中标准化宿主和寄生虫分类群的方法。我们还为用户可以下载的四个文件中的每个文件提供了数据字段的定义。
