Data underlying the publication: Exploiting activation radiation from neutron tomography reveals the hidden elemental composition of 3D art objects for free

DOI:10.4121/3b235269-f9ba-4395-b742-9e804c334565.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/3b235269-f9ba-4395-b742-9e804c334565

Datacite citation style

Li, Yueer; van Eijck, Lambert; Creange, Sara (2025): Data underlying the publication: Exploiting activation radiation from neutron tomography reveals the hidden elemental composition of 3D art objects for free. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/3b235269-f9ba-4395-b742-9e804c334565.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset was collected in an experimental study aimed at investigating the internal structure and elemental composition of the Kuvera statuette (object number: AK-MAK-311, c. 850–930, the Rijksmuseum Amsterdam) using a Geant4-based data fusion method that combines neutron tomography (NT) and gamma spectroscopy (GS). NT provided the statuette’s internal features, while gamma spectroscopy measured its elemental information. The dataset contains NT projections and GS spectra.

History

  • 2025-09-10 first online, published, posted

Publisher

4TU.ResearchData

Format

projection/tiff; spectrum/gxml

Funding

  • NICAS-Beeldvorming (grant code NWO 628-007-032) [more info...] the Dutch Research Coundcil

Organizations

TU Delft Faculty of Applied Sciences, Department of Radiation Science and Technology, Neutron and Positron Methods for Materials

DATA

Files (3)

  • 358 bytesMD5:fca1ff7d0394e9dc3d5fe3887a280d55Readme.txt
  • 37,193 bytesMD5:57e248c9fc8f9d97982ba09f9b68bab3GS.zip
  • 11,541,924,444 bytesMD5:5903c0aad220a7dba3c7a72c3a52537bNT.zip
  • download all files (zip)
    11,541,961,995 bytes unzipped