This paper presents a high resolution microclimate monitoring dataset designed to explore rooftop microclimate responses to different rooftop configurations within a subtropical humid campus setting. The dataset comprises measurements from seven rooftops representing five roofing types: bare roof, bare roof with HVAC units, green roof, PV roof, and PV integrated green roof (PVIGR). The dataset is based on data collected over a one-and-a-half-year period on a university campus in Hong Kong. Microclimate data were collected using various sensors, including temperature and relative-humidity sensors, anemometers, and pyranometers. In addition, the dataset also provides PV power generation data, which supports studies of PV performance and the microclimate impacts of PVIGR designs. Lastly, weather data from a nearby weather station were also included in this dataset for future reference. This dataset addresses a significant gap in existing literature that primarily focuses on conventional roof types and supports the evaluation of alternative rooftop designs under comparable campus- scale conditions. This paper provides a comprehensive description of the rooftop sites, data collection methods, records, and validation processes. Potential applications encompass analyzing microclimate characteristics, supporting validation or benchmarking of computational fluid dynamics models under comparable rooftop conditions, optimizing photovoltaic conversion efficiency, and informing sustainable rooftop design studies.