Optimization-based multitarget stacked machine-learning model for estimating mechanical properties of conventional and fiber-reinforced preplaced aggregate concrete

The dataset employed in the study "Optimization-based multitarget stacked machine-learning model for estimating mechanical properties of conventional and fiber-reinforced preplaced aggregate concrete" consists of 475 data points, with 419 datasets allocated for PAC and 56 datasets designated for FR-PAC. These datasets have been meticulously gathered from both existing literature (389 and 42 for PAC and FR-PAC, respectively) and our experimental work with 30 datasets for PAC and 14 for FR-PAC. To use the dataset, you should refer to the original paper linked below to ensure licensing and credit.