Ganiatsou, E., Georgiadou, A., Souleles, A., Aidonis, A., Protopsalti, T., Tzevreni, S., Konstantinidou, K., Vasileiadou, S., Siegmund, F., &
Papageorgopoulou, C. (2023). Application of machine learning on isotopic data from tooth microsections for reconstructing weaning patterns and
physiological stress. Journal of Archaeological Science: Reports, 47, 103765.
The CityLife Project prioritizes the dignified and respectful treatment of archaeological human remains in accordance with established ethical and scientific principles. All destructive sampling methods were carefully justified to ensure an optimal balance between advancing scientific knowledge and preserving these irreplaceable collections, in full accordance with Open Access and FAIR data standards.
This project received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 101126337). CityLife is hosted at the Laboratory of Biological Anthropology, Department of Humanities, Democritus University of Thrace, Greece.