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Data underlying Chapter 2 of the PhD thesis: Chemical Imaging Methods for Cultural Heritage: Advanced Data Acquisition and Processing

DOI:10.4121/3943ba4d-965c-46ce-a211-230351c8fc61.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: 10.4121/3943ba4d-965c-46ce-a211-230351c8fc61

Datacite citation style

de Almeida Nieto, Luís Manuel; Gabrieli, Francesca; van Loon, Annelies; Gonzalez, Victor; Dik, Joris et. al. (2025): Data underlying Chapter 2 of the PhD thesis: Chemical Imaging Methods for Cultural Heritage: Advanced Data Acquisition and Processing. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/3943ba4d-965c-46ce-a211-230351c8fc61.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

*** L.M. de Almeida Nieto Ph.D. Dissertation "Chemical Imaging Methods for Cultural Heritage: Advanced Data Acquisition and Processing" Chapter 2: Comparison of macro x-ray fluorescence and reflectance imaging spectroscopy for the semi-quantitative analysis of pigments in easel paintings: A study on lead white and blue verditer Related Data***

Authors: L.M. de Almeida Nieto, F. Gabrieli, A. van Loon, V. Gonzalez, J. Dik, R. Van de Plas, M. Alfeld

Materials Science and Engineering Department, Faculty of Mechanical Engineering, Delft

University of Technology

Corresponding author: L.M. de Almeida Nieto

Contact Information:

[email protected]

Delft University of Technology - Faculty of Mechanical Engineering

The Netherlands


***General Introduction***

This dataset contains all the data relevant to Chapter 2 of L.M. de Almeida Nieto's doctoral dissertation, collected between 2019 and 2023, the results of which are published in:

https://doi.org/10.1002/xrs.3394

The data in this data set was collected in the Conservation and Science Department of the Rijksmuseum, Amsterdam.

This research project was made possible by by funding from the Rijksmuseum and TU Delft.


***Purpose of the test campaign***

The purpose of these experiments was to evaluate the potential of MA-XRF and RIS for the quantitative analysis of paint layers in easel paintings.


***Test equipment***

MA-XRF data was acquired using a Bruker M6 jetstream.

VNIR-RIS data was acquired using a Surface Optics SOC710-E hyperspectral camera.

SWIR-RIS data was acquired using a Headwall Photonics Micro-Hyperspec SWIR 640 hyperspectral camera.

History

  • 2025-03-19 first online, published, posted

Publisher

4TU.ResearchData

Format

MA-XRF data/.h5 , RIS data/.h5 , image/.jpg or .png , script/.py , jupyter notebook/.ipynb

Funding

  • Delft University of Technology
  • Rijksmuseum Rijksmuseum

Organizations

TU Delft, Faculty of Mechanical Engineering, Department of Materials Science and Engineering
Rijksmuseum, Department of Conservation and Science, Amsterdam, the Netherlands

DATA

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