We believe in the power of open science. Every project we work on generates valuable data, and we're committed to sharing them with the world. This is the space where you can access all our datasets, fostering transparency, collaboration, and innovation. Whether you're a researcher, student or just curious, explore our data and join us in advancing knowledge through open, shared science.
The HADES Project Database contains all the data collected and created by our team about the Heloros archaeological site in Sicily, Italy. It provides metadata about the geographical area, building remains, and single object remains of the site. Moreover, it describes all the digital objects created in the context of this digital archaeology project, including 3D scanning and virtual reconstructions. For the reconstructions, we include immersive VR settings and generative AI-based images.
The Database is accessible at: soon to come
The Palenque 3D Atlas is an online geospatial collection that enables synoptic visualization of 3D and geospatial data from large-scale excavation and digital archaeological surveys we contacted at the ancient Maya site of Palenque, in Chiapas, Mexico. This 3D Atlas allows us to render our archaeological interpretations visible while enhancing our comprehension of the archaeological context through links and correlations.
https://pointcloud.ucsd.edu/published/Palenque_3D_Atlas.html
IICONGRAPH is a knowledge graph (KG) that was created by re-engineering the iconographical and iconological statements of ArCo (the Italian KG of cultural heritage) and Wikidata (a crowdsourced knowledge-based). In total, it contains information about more than 160,000 artworks encoded using the ICON ontology as the schema. Every artwork is described according to the three levels of interpretation of the Art Historian Edwin Panofsky, namely pre-iconographic, iconographical and iconological. IICONGRAPH is released openly in Zenodo: https://zenodo.org/doi/10.5281/zenodo.10294588.
Reference paper: Sartini, B. (2024). IICONGRAPH: Improved Iconographic and Iconological Statements in Knowledge Graphs. In: Meroño Peñuela, A., et al. The Semantic Web. ESWC 2024. Lecture Notes in Computer Science, vol 14665. Springer, Cham. https://doi.org/10.1007/978-3-031-60635-9_4