This paper describes a combined dataset of observations from several ARM campaigns. The data are from aircraft observations and include thermodynamic, dynamic, cloud, aerosol, and gas-phase measurements. The instrumentation and the dataset are described clearly, and several example figures are shown. A combined dataset like this one is useful to achieve continued, high-quality, and repeatable science.  

Minor comments: Line 167 should reference Figure 3, not 4. The text on Figures 4 and 5 should be larger.

The manuscript gives an overview of the detailed data collected during those seven field campaigns by the ARM program and how airborne measurements catch the atmosphere's detailed atmospheric processes. A data set integrated from these campaigns is an important resource for the study of various atmospheric phenomena but more so for aerosols, clouds, and trace gases. The authors have indeed succeeded in compiling, standardizing, and making these datasets available, which will support ongoing and future research in our community. Overall, this manuscript is well-organized and of clear scientific significance. I want to give him some advice:

1. The manuscript may benefit from more discussions of the limitations and uncertainties associated with the data, particularly regarding the comparison between airborne and ground-based measurements. While the paper touches on the challenges of comparing these two types of measurements, a more thorough exploration of the potential biases introduced by differences in spatial and temporal resolution would help us understand more about the dataset.

2. The discussion of data quality could also include the differences and specific challenges between different field campaigns. For instance, variations in environmental conditions across different campaigns may have unique limitations in data collection and processing.

3. The manuscript adds more case studies or examples of how the dataset has been or could be used in specific research applications, which would provide practical context for its utility in past research.

4. The manuscript may discuss the potential for future updates or expansions of the dataset, including the incorporation of additional variables or the development of new analytical tools to enhance its utility.