Heterogeneous Matrix Profile Card: an in silico compositional and ecological dataset of 33 cheese matrices for predicting Staphylococcus aureus growth and enterotoxin risk

The Heterogeneous Matrix Profile Card is a curated in silico reference table describing 33 cheese varieties using 29 compositional, physicochemical and ecological descriptors (water activity, pH and its ripening dynamics, salt-in-moisture, calcium, lactic acid bacteria load, bacteriocin activity, redox potential, ripening schedule, packaging and a categorical S. aureus growth-outcome label, among others). It was created as part of a study on biology-informed hybrid quantum-classical machine learning (HQML) for predicting Staphylococcus aureus growth kinetics and staphylococcal enterotoxin risk in heterogeneous cheese matrices. The values are not raw laboratory measurements; they are representative values assembled from the predictive-microbiology and dairy-science literature and standardised, where applicable, against official European Union product specifications curated in the EU eAmbrosia geographical indications register. The table is provided in CSV and XLSX formats with an accompanying README. It is one of three companion datasets (the others being a kinetic database and a left-censored dataset). Intended for benchmarking, model development and educational reuse under CC BY 4.0.