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
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DOI: 10.4121/3b235269-f9ba-4395-b742-9e804c334565
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
Categories
- Arts and Leisure
- Historical Studies
- Archaeology
- Computer Software
- Heritage
- Interdisciplinary Engineering
- Atomic, Molecular, Nuclear, Particle and Plasma Physics
- Other Technology
- Engineering
- Physical Sciences
- History and Archaeology
- Cultural Understanding
- Technology
- Information and Computing Sciences
Time coverage 2024
Licence CC BY-NC-SA 4.0
Interoperability
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.ResearchDataFormat
projection/tiff; spectrum/gxmlAssociated peer-reviewed publication
Exploiting activation radiation from neutron tomography reveals the hidden elemental composition of 3D art objects for freeFunding
- 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 MaterialsDATA
Files (3)
- 358 bytesMD5:
fca1ff7d0394e9dc3d5fe3887a280d55
Readme.txt - 37,193 bytesMD5:
57e248c9fc8f9d97982ba09f9b68bab3
GS.zip - 11,541,924,444 bytesMD5:
5903c0aad220a7dba3c7a72c3a52537b
NT.zip -
download all files (zip)
11,541,961,995 bytes unzipped