Raw Data
Description
This dataset contains raw environmental monitoring data collected to assess the effects of vegetation structure on air quality and microclimatic conditions at Thal University Bhakkar, Punjab, Pakistan. The dataset includes measurements from four distinct experimental plots representing different land-use types: (i) dense vegetation with high canopy cover, (ii) built-up concrete area, (iii) roadside area with sparse vegetation, and (iv) grass-covered open area. These plots were selected to evaluate the comparative influence of green and non-green infrastructure on environmental conditions. Recorded parameters include particulate matter concentrations (PM2.5 and PM10), temperature (°C), relative humidity (%), CO₂ concentration (ppm), light intensity. Data were collected during the summer season using portable environmental monitoring instruments under field conditions. The dataset is organized in tabular format (Excel), with each row representing an observation and columns corresponding to measured environmental variables and plot classifications. This dataset supports analysis of vegetation-driven microclimate regulation and air pollution mitigation in semi-arid urban environments. This dataset is associated with the research article titled: “Assessment of PM2.5 and PM10 Particles and the Summer Microclimate in Campus Green Spaces: A Comparative Study.” It is provided to ensure transparency, reproducibility, and to facilitate further research on urban microclimate and environmental sustainability. No personal or sensitive data are included in this dataset.