<b>A global dataset of key nodes in migratory bird networks potentially linked to influenza A virus spread</b>

Migratory birds play a significant role in the long-distance transmission of influenza A virus (IAV), posing potential threats to human health and the safety of livestock production. However, comprehensive datasets on the migration networks of IAV-associated migratory birds remain scarce, thereby hindering the assessment of virus transmission risks and the formulation of effective prevention and control strategies. In this study, we developed a comprehensive dataset by integrating literature-based data and Movebank tracking records, focusing on key nodes within the migration networks of migratory birds associated with IAV. The dataset covers 10,088 migration route records for 101 species of migratory birds relevant to IAV. Using ArcGIS and Gephi tools, we calculated the betweenness centrality values for each node in the migration network to quantify their importance within the network and identify key nodes. This dataset will serve as a valuable resource for analyzing migratory bird networks, assessing the risks of IAV transmission, and developing ecological conservation strategies.候鸟在甲型流感病毒（influenza A virus, IAV）的长距离传播中发挥着关键作用，对人类健康及畜牧生产安全构成潜在威胁。然而，目前针对甲型流感病毒关联候鸟的迁徙网络的综合数据集仍较为匮乏，进而阻碍了病毒传播风险评估与有效防控策略的制定。本研究通过整合文献数据与Movebank追踪记录，聚焦甲型流感病毒关联候鸟的迁徙网络核心节点，构建了一套综合数据集。该数据集涵盖了101种与甲型流感病毒相关的候鸟的10088条迁徙路线记录。本研究借助ArcGIS与Gephi工具，计算了迁徙网络中各节点的中介中心性（betweenness centrality）数值，以量化其在网络中的重要性并识别核心节点。本数据集将为候鸟迁徙网络分析、甲型流感病毒传播风险评估以及生态保护策略制定提供宝贵的研究资源。