The best candidate model for the construction of the ecological niche modeling for Hyalomma marginatum.

Model performance under optimal parameters using sets of environmental predictors (SEP), statistically significant models (SSM), best candidate models (BCM), regularization multiplier (RM), features classes (FC), mean Area Under the Curve ratio (AUC.r), partial Receiver Operating Characteristic (p.ROC), omission rate 5% (O.rate 5%), Akaike information criterion corrected (AICc), delta Akaike information criterion corrected (ΔAICc), Akaike information criterion corrected weight (AICc.W), number of parameters (#; summarizes the combination of environmental variables, multiple regularizations, and features other than 0 that provide information for the construction of the model based on lambdas—lambda refers to counting all parameters with a nonzero weight in a Maxent-generated text file), and environmental variables of Set4 tested during calibration of Hyalomma marginatum model.本数据集涵盖基于环境预测因子集（environmental predictors, SEP）、统计显著模型（statistically significant models, SSM）与最佳候选模型（best candidate models, BCM）的最优参数所得到的模型性能，包含正则化乘数（regularization multiplier, RM）、特征类（features classes, FC）、平均曲线下面积比值（mean Area Under the Curve ratio, AUC.r）、偏受试者工作特征曲线（partial Receiver Operating Characteristic, p.ROC）、5%遗漏率（omission rate 5%, O.rate 5%）、修正赤池信息准则（Akaike information criterion corrected, AICc）、修正赤池信息准则差值（delta Akaike information criterion corrected, ΔAICc）、修正赤池信息准则权重（Akaike information criterion corrected weight, AICc.W）、参数数量（#；该指标基于λ值总结了环境变量组合、多重正则化及非零信息特征的数量——其中λ指对Maxent生成文本文件中权重非零的所有参数进行计数），以及在边缘革蜱（Hyalomma marginatum）模型校准过程中测试的Set4环境变量集。