Institute for Environmental Research, RWTH Aachen University, Worringerweg 1, Aachen 52074, Germany.
Staatliches Museum für Naturkunde Karlsruhe, Erbprinzenstr. 13, Karlsruhe 76133, Germany.
Database (Oxford). 2024 Feb 1;2024. doi: 10.1093/database/baae004.
The ARAMOB data repository compiles meticulously curated spider community datasets from systematical collections, ensuring a high standard of data quality. These datasets are enriched with crucial methodological data that enable the datasets to be aligned in time and space, facilitating data synthesis across studies, respectively, collections. To streamline the analysis of these datasets in a species-specific context, a suite of tailored ecological analysis tools named ARAapp has been developed. By harnessing the capabilities of ARAapp, users can systematically evaluate the spider species data housed within the ARAMOB repository, elucidating intricate relationships with a range of parameters such as vertical stratification, habitat occurrence, ecological niche parameters (moisture and shading) and phenological patterns. Database URL: ARAapp is available at www.aramob.de/en.
ARAMOB 数据存储库汇集了精心策划的蜘蛛群落数据集,这些数据集来自系统收集,确保了数据质量的高标准。这些数据集还包含了重要的方法数据,使数据集能够在时间和空间上对齐,分别促进了不同研究和收集的数据集的综合。为了在特定物种的背景下简化这些数据集的分析,开发了一套名为 ARAapp 的定制生态分析工具。通过利用 ARAapp 的功能,用户可以系统地评估 ARAMOB 存储库中存储的蜘蛛物种数据,阐明与一系列参数(如垂直分层、栖息地出现、生态位参数(湿度和遮荫)和物候模式)之间的复杂关系。数据库网址:ARAapp 可在 aramob.de/en 上获取。