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Anthropogenic and environmental processes present unique challenges for preserving cultural heritage in North Africa. Large parts of this region are characterised by unfavourable arid and semi-arid conditions and rapid changes to the landscapes caused by heightened regional development (e.g., urban expansion, road building, agricultural intensification, and socio-political conflicts). As a result, we are facing a fast-paced disappearance of heritage sites in regions that are still poorly understood. Following this, the utilisation of Earth observation data through aerial photographs and satellite imagery has emerged as an unmatched tool in the exploration of endangered archaeological heritage. Drawing on this context, this paper underscores the critical significance of incorporating digital research methods, such as remote sensing, GIS, or cartographic analysis, to ensure the evaluation and (digital) preservation of the historical sites along these vulnerable areas. Furthermore, our study seeks to provide new insights into data management and dissemination, fostering open research practices within North African archaeological research.

This dataset contains archaeological and heritage sites of the Marmarica region (NE-Libya/NW-Egypt), ranging from the Late Bronze to the Roman times. It has been developed in the framework of the PERAIA project, which aims to analyse the long-term history and interaction patterns along the harsh environments of north-eastern Africa. The records contain accurate geographic location of sites, including place names, typology, chronology, and metadata of documented remains, along with information regarding the environmental and ecological context. Additionally, the dataset accounts for the specificities of the region’s varying environmental conditions and their potential impact on archaeological heritage. All this information associated with each archaeological site was collected from published field data surveys, maps, archaeological reports, and it was subsequently cross-checked with historical aerial photographs and satellite imagery to detect, and to register known and unknown sites within the study area. Regarding the potential reuse of all this data, the dataset is deposited on the project website and linked to Zenodo.