A line trajectory X-ray tomography dataset of the Hugo de Groot bookchest

Summary This submission contains tomographic dataset of a large wooden bookchest from the Rijksmuseum collection. The data is made available as part of [Bossema et al., 2021]. Apparatus The dataset is acquired using the Baltograph X-ray scanner (https://www.balteau-ndt.com/), located in the Ateliergebouw of the Rijksmuseum, Amsterdam. This apparatus consists of the Baltograph Generator XSD225 with X-ray tube TSD225/0 (focal spot size is 1mm (640W) or 5,5mm (3000W)), Control Unit LS1, water cooling unit WCU3000 and manipulator system Seifert DP435 (C-arm and rotating table, 3 axes in total and rotation). The X-ray beam projects polychromatic X-rays onto a 1920-by-1536 pixels, 16-bit, flat detector panel with pixel size 127 micron (Baltoscope FPDIGIT13-127). Sample Information The object is a large wooden bookchest (73 cm width x 160 cm length x 75 cm height) from the Rijksmuseum collection, inventory number NG-KOG-1208 (http://hdl.handle.net/10934/RM0001.COLLECT.53787). Experimental Plan The data in this submission was collected to compare dendrochronological measurements on the reconstructed image using a linear scanning trajectory and a photograph of the radial/tangential section of the plank on the outside (see Figure 7 in [Bossema et al, 2021]). It was recorded with focal spot size 1mm, 150kV and 525W. All raw data (i.e. no corrections) is made available in .tiff format. List of Contents The content of the submission is given below. -data: 1325 projections Additional Links These datasets are produced by the Computational Imaging group at Centrum Wiskunde & Informatica (CI-CWI). Contact Details For more information or guidance in using these datasets, please get in touch with bossema [at] cwi.nl Acknowledgments The authors would like to acknowledge the funding from the Netherlands Organisation for Scientific Research (NWO), project numbers 341-60-001, 639.073.506 and 628.007.033 and Netherlands Institute for Conservation, Art and Science (NICAS).