Boeraeve Pepijn, Arijs Gert, Segers Stijn, Brosens Dimitri, Desmet Peter, Swinnen Kristijn, Lambrechts Jorg, De Smedt Pallieter
Spinicornis, Mispeldonk 2, 2820 Bonheiden, Belgium Spinicornis Bonheiden Belgium.
Research Institute for Nature and Forest (INBO), Havenlaan 88 bus 73, Belgium Research Institute for Nature and Forest Havenlaan Belgium.
Zookeys. 2022 May 18;1101:57-69. doi: 10.3897/zookeys.1101.65810. eCollection 2022.
This data paper describes a recent and spatially complete inventory of the terrestrial isopods of Belgium between 2011 and 2020. During these 10 years every 10 × 10 km² cell of the Universal Transverse Mercator (UTM) grid in Belgium (373 grid cells) was visited in search for terrestrial isopods. Inventories covered different habitat types in every grid cell such as forest, wetlands or stream sides, and urban areas. Most of the dataset records were obtained by hand-collection methods such as turning stones and dead wood, or by sieving litter and through casual observations. These inventories were carried out by specialists from Spinicornis, the Belgian Terrestrial Isopod Group. Their data is complemented with pitfall trap data from scientific projects and verified citizen science data collected via waarnemingen.be and observations.be from the same time period. This resulted in 19,406 dataset records of 35 terrestrial isopod species. All dataset records are georeferenced using the centroid of their respective 5 × 5 km² UTM grid cell. The dataset is published as open data and available through the Global Biodiversity Information Facility (GBIF). Direct link to the dataset: https://doi.org/10.15468/mw9c66.
本数据论文描述了2011年至2020年间比利时陆生等足类动物的最新且空间完整的清单。在这10年里，对比利时通用横轴墨卡托（UTM）网格中每一个10×10平方千米的单元格（共373个网格单元）进行了实地考察，以寻找陆生等足类动物。清查涵盖了每个网格单元中的不同栖息地类型，如森林、湿地或溪边以及城市地区。大部分数据集记录是通过手工采集方法获得的，如翻动石块和枯木，或筛选落叶以及通过偶然观察。这些清查工作由比利时陆生等足类动物研究小组Spinicornis的专家进行。他们的数据得到了来自科研项目的陷阱诱捕数据以及通过waarnemingen.be和observations.be收集的同期经过验证的公民科学数据的补充。这产生了35种陆生等足类动物的19406条数据集记录。所有数据集记录均使用其各自5×5平方千米UTM网格单元的质心进行地理定位。该数据集作为开放数据发布，可通过全球生物多样性信息设施（GBIF）获取。数据集的直接链接：https://doi.org/10.15468/mw9c66 。
