This Review consolidates publicly available aerial wireless measurement datasets collected using AERPAW. We organize signal-level, power-level, and KPI-level datasets under a unified taxonomy, harmonize metadata, and provide verified access with reproducible post-processing scripts. The curated catalog supports propagation modeling, machine learning, localization, and system-level evaluation for 5G-Advanced and emerging 6G aerial networks.

翻译：本综述整合了利用AERPAW采集的公开航空无线测量数据集。我们按照统一分类体系组织信号级、功率级及关键性能指标级数据集，协调元数据规范，并提供经可复现后处理脚本验证的数据访问途径。该经审编的数据目录可支持面向5G-Advanced及新兴6G航空网络的传播建模、机器学习、定位及系统级评估。