Data underlying Chapter 3 of the PhD thesis: Chemical Imaging Methods for Cultural Heritage: Advanced Data Acquisition and Processing

*** L.M. de Almeida Nieto Dissertation Chapter 3: SHAP-RIS: Reflectance imaging spectroscopy and interpretable machine learning for the analysis of historical manuscripts Related Data***Authors: L.M. de Almeida Nieto, L.G. Migas, M. Vermeulen, J. Dik, M. Alfeld, R. Van de PlasMaterials Science and Engineering Department, Faculty of Mechanical Engineering, DelftUniversity of TechnologyCorresponding author: L.M. de Almeida NietoContact Information:[e-mail] University of Technology - Faculty of Mechanical EngineeringThe Netherlands<br>***General Introduction***This dataset contains all the data relevant to Chapter 3 of L.M. de Almeida Nieto's doctoral dissertation, collected between 2020 and 2024.The data in this data set was collected in the Leiden University Library (Leiden, Netherlands) and the UK National Archives (London, United Kingdom).This research project was made possible by by funding from TU Delft.<br>***Purpose of the test campaign***The purpose of these experiments was to evaluate the potential of VNIR RIS for the analysis of damaged historical manuscripts.<br>***Test equipment***Leiden Riddle data was acquired using a Specim IQ hyperspectral camera.Locke Manuscript data was acquired using a Headwall Photonics MV.C VNIR hyperspectral camera.