Replication Data for: Unveiling Mucorales Infections: A Cutting-Edge Longitudinal Imaging Approach for Real-Time Infection and Host-response Monitoring in Galleria mellonella and Mouse Models

Purpose:
The dataset supports the publication “Unveiling Mucorales Infections: A Cutting-Edge Longitudinal Imaging Approach for Real-Time Infection and Host-response Monitoring in Galleria mellonella and Mouse Models.” It is shared to promote transparency, reproducibility, and to facilitate further research on Mucorales infection dynamics and antifungal efficacy.

Nature:
The dataset comprises raw and processed data obtained from multiple experimental setups, including imaging data (bioluminescence and micro-CT), infection kinetics, survival analyses, and statistical outputs underlying the figures and results reported in the manuscript.

Scope:
Data were generated from in vitro and in vivo experiments, including longitudinal infection studies conducted in Galleria mellonella and mouse models. The dataset provides quantitative and qualitative insights into host–pathogen interactions and fungal burden progression, supporting future translational and preclinical investigations.