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).