Dynamic Collections is an initiative of DARKLab, Lund University, and the Visual Computing Lab, ISTI-CNR.

Dynamic Collections is a collaborative initiative spearheaded by the Digital Archaeology Laboratory (DARKLab) at Lund University, in partnership with the Visual Computing Lab at the National Research Council of Italy’s Institute for Information Science and Technologies "Alessandro Faedo" (ISTI), the Lund University Historical Museum, the Department of Archaeology and Ancient History at Lund University, Blekinge Museum, and the Swedish History Museum.

This project is generously supported by Swedigarch, the Swedish National Infrastructure for Digital Archaeology (https://swedigarch.se/), the Einar Hansen Foundation, and the Thora Ohlsson’s Foundation. We also wish to extend our gratitude to the Lund University Historical Museum (www.historiskamuseet.lu.se) and the Blekinge Museum (www.blekingemuseum.se) for granting access to their collections for this project.

Our archive aims to create a comprehensive digital repository of 3D models to facilitate the preservation, study, and dissemination of cultural heritage artifacts. The archive serves as an invaluable resource for researchers, educators, and the general public, providing access to detailed 3D representations of archaeological finds and historical objects.

Acknowledgements

Special thanks go to our student interns Jake Clarke, Samantha Day, Michael Harris, Filip Johnstone, Margaret Muth, and Hanna Rosenborg, Samantha Day, Nell Esbjörnsson, Yunchen Tan, Andra Tudor for their excellent work and support during the project years 2019–2023.

Project Participants

  • Fredrik Ekengren, Lund University
  • Nicolò Dell’Unto, Lund University
  • Marco Callieri, CNR: National Research Council of Italy
  • Paola Derudas, Lund University
  • Danilo Marco Campanaro, Lund University
  • Giuseppe Naponiello, Lund University
  • Åsa Berggren, Lund University
  • Elna Arvidsson
  • Rebecca Ringdahl

Project Coordination

  • Nicolò Dell'Unto (PI)
  • Fredrik Ekengren (Co-PI)
  • Marco Callieri (Co-PI)

System Development

  • Marco Callieri
  • Giuseppe Naponiello

Database and mapping

  • Marco Callieri
  • Paola Derudas
  • Giuseppe Naponiello

Data Acquisition and Post Processing

  • Danilo Marco Campanaro

Web Contents

  • Marco Callieri
  • Danilo Marco Campanaro

Copyright and License Information

Online System: Copyright (C) 2020-2024 - Lund University, ISTI-CNR. All rights reserved.

All copyright information can be found on the artifact page of each object.
If the object is available for download, follow the instructions provided on the repository where the model and relative metadata are stored.
Models made available for download are typically under CreativeCommons licenses. Note that different datasets may follow different versions of the CC BY license, so always check the specific license assigned to the dataset.

License schema

Text, images and 3d model files Database structure Platform Code
Attribution-NonCommercial-ShareAlike 4.0 International
Open Data Commons Open Database License (ODbL)
GNU Affero General Public License

Using the Data Sets Available on Dynamic Collections

The data sets available through the Dynamic Collections platform are categorized into three main types. Please be aware that each type may be subject to different copyright regulations:

  • Metadata Concerning the Physical Object
  • Metadata Concerning the Digital Object (Paradata)
  • 3D Model and Relative Metadata

Instructions and Guidelines

Instructions are included in the zip file, on the page where the models are made available, and on the artifact web page of the Dynamic Collections.

Creating and Using Screenshots

If you create screenshots using the screenshot function or capture images of the platform, we would appreciate it if you could include a link to the Dynamic Collections main page in the caption.

Example caption: "Image produced using the Dynamic Collections web page."

Thank you for adhering to these guidelines and for helping us maintain the integrity and usability of our data.