Peak Tables and the analysis script of Clinical Breathomics Dataset

We have performed the GC‒MS analysis for detecting breath molecules in 233 patient samples to create the clinical breathomics dataset. Breath molecules can reflect various conditions, including human psychological and pathological states as well as the microbiome. The noninvasive nature of detecting breath molecules has significant advantages in terms of diagnostic and monitoring capabilities. This dataset contains VOCs present in breath of asthma, bronchiectasis and chronic obstructive pulmonary disease. This dataset is an extensive human clinical breath molecule collection for 3 diseases and has been gathered using consistent sample collection protocols. We believe this clinical breathomics dataset will be a valuable resource for researchers and clinicians as they seek to identify and further study potential biomarkers in patient breath.