MOESM3 of An updated meta-analysis of the distribution and prevalence of Borrelia burgdorferi s.l. in ticks in Europe

Additional file 3. The dataset with grid data and prevalence categories for the three most commonly reported species of Borrelia spp. in the target territory. The dataset must to be used to start the modelling analysis using the script in Additional file 2. It contains data about habitat suitability of the tick vector (column Prob_ricinus) as well as the six temperature (TFourier1 to TFourier 3) and vegetation variables (VFourier1 to VFourier3). Also included (but not used by modelling algorithms in the resolution of the best modelling approach) are “Level 4” (the top category in the hierarchy of bioclimate regions in the LANMPA2 scheme), “GlobCovMaj” (dominant vegetation according to the GlobalCov scheme), “GlobCovDiv” (landscape fragmentation in the cell as the number of different categories of vegetation). The remaining three columns “clas_afzelii”, “clas_garinii” and “clas-valaisiana” refer to the category of repavlence of each of the three modelled species of Bb.

附加文件3。本数据集包含研究区域内三种最常报道的疏螺旋体属（Borrelia spp.）物种的栅格数据及流行率分类信息，需结合附加文件2中的脚本开展建模分析的初始工作。数据集包含蜱媒栖息地适宜性数据（对应列名为Prob_ricinus），以及6个环境变量，包括3个温度变量（TFourier1至TFourier3）与3个植被变量（VFourier1至VFourier3）。此外还包含以下字段（但在筛选最优建模方法的建模算法中未被使用）："Level 4"（LANMPA2方案中生物气候区层级的最高分类）、"GlobCovMaj"（基于GlobalCov方案的优势植被类型）、"GlobCovDiv"（栅格单元内的景观破碎度，以植被类别数量表征）。剩余三列分别为"clas_afzelii"、"clas_garinii"与"clas-valaisiana"，对应三种建模所用疏螺旋体物种各自的流行率分类。