Review of “An airborne in-situ dataset of cloud microphysical properties in supercooled large droplet icing conditions” by Menekay et al., submitted to ESSD. This manuscript presents a valuable and rare in-situ cloud microphysical dataset collected during the SENS4ICE-EU campaign, focusing on supercooled liquid and mixed-phase clouds, including supercooled large droplet (SLD) conditions. The dataset is well-documented, adheres to FAIR principles, and has clear potential for applications in aircraft icing research, model evaluation, and sensor development. However, several methodological and transparency issues need to be addressed before the paper is suitable for publication. The main concerns relate to uncertainty characterization, the reliability of ice-phase measurements, reproducibility, and the representativeness of the sampling strategy.

Major Comments

1. The reported uncertainties (e.g., 10–100% for OAP counting, ~50% for sizing) are too broad and lack dependence on particle size, phase, or concentration. Furthermore, it is unclear whether the stated 20% counting uncertainty and 50% sizing uncertainty are intended as absolute values or relative errors.
2. Ice properties are derived from OAP images using shape-based phase discrimination, but no quantitative assessment of ice shattering effects is provided.
3. The merging thresholds (43 µm between CDP and CIP; 600 µm between CIP and PIP) are empirically chosen. A discussion is needed on how uncertainties at these size thresholds propagate into integral parameters.

Minor Comments

1. Please provide an explanation for Figure 1(a).
2. In Figure 2, land and ocean should be clearly distinguished, and a legend should be included.
3. For Figure 6, please explain the reason for the sudden drop in observation counts at certain temperature intervals.
4. The link https://doi.org/10.17616/R39Q0T does not appear to correspond directly to the dataset described in this manuscript.