CGMacros: a scientific dataset for personalized nutrition and diet monitoring

We present CGMacros, a dataset containing multimodal information from two
continuous glucose monitors (CGM), food macronutrients, food photographs, and
physical activity, in addition to anonymized participant demographics,
anthropometric measurements and health parameters from blood analyses and gut
microbiome profiles. CGMacros contains data from 45 study participants (15
healthy adults, 16 with pre-diabetes, and 14 with Type 2 diabetes) who
consumed meals with varying and known macronutrient compositions in a free-
living setting for ten consecutive days. To our knowledge, this is the first
database of its kind to be made publicly available. CGMacros, and larger
publicly available datasets that we hope may follow, are essential to
democratize academic research in personalized nutrition and algorithmic
approaches to automated diet monitoring.