The first tab contains machine learning training data originating from the Tailored Reinforced Concrete Infrastructure research project [EP/N017668/1] contaning details of concrete mix designs as well as resulting concrete properties. Concrete properties include compressive strength, saturated-surface-dry density, carbonation coefficient and estimated economic cost. Units of all values are given.

The second tab contains predictions of these properties for blind mixes, obtained using the machine learning methodology outlined in the accompanying paper.