X-ray CT reconstruction of Black Beauty meteorite

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This dataset is part of this Collection: Naver, Estrid Buhl; Wulff Nikolajsen, Katrine; Carøe, Martin Sæbye; Battaglia, Domenico; Frydenvang, Jens; Bizzarro, Martin; et al. (2026). Data for article "Direct detection of hydrogen reveals a new macroscopic crustal water reservoir on early Mars". Technical University of Denmark. Collection. https://doi.org/10.11583/DTU.c.8298772Depositor (include contact and ORCID): Estrid Buhl Naver (https://orcid.org/0000-0002-8897-2175) Contributors/Authors: Estrid Buhl Naver, Katrine Wulff Nikolajsen, Martin Sæbye Carøe, Domenico Battaglia, Jens Frydenvang, Martin Bizzarro, Jakob Sauer Jørgensen, Kim Lefmann, Anders Kaestner, David Christian Mannes, Phil Cook, Henrik Birkedal, Thorbjørn Erik Køppen Christensen, Innokenty Kantor, Henning Friis Poulsen and Luise Theil Kuhn. Related publication: Direct detection of hydrogen reveals a new macroscopic crustal water reservoir on early Mars. Explanation: X-ray imaging was performed at the BM05 beamline at the European Synchrotron Radiation Facility in France using a voxel size of 3 micron, 6000 projections with exposure 148 time 50 ms, and a white beam with mean energy 73 keV. In order to image the full sample, 7 tomograms were acquired with different vertical offsets. Projections have been flat- and darkfield corrected before reconstruction. The intensity scale represents quantitative attenuation with a unit of 1/cm.This dataset is structured in the ome.zarr format and consists of 4 resolution levels: 0,1,2,3 with 3.1, 6.2, 12.4, 24.8 microns³ voxel size.Data can be loaded in Python using the following lines: import zarr path = 'xray' z = zarr.open(path, mode="r") volume = z['2'][:] # Loads the 12.4 micron voxel size volume Methods, materials and software: Reconstruction was performed in Python using the Core Imaging Library. The code can be found on github at [link]. Funding: ESS Lighthouse on Hard Materials in 3D, SOLID, funded by the Danish Agency for Science and Higher Education (8144-00002B). DanScatt funded by the Danish Agency for Science, Technology, and Innovation. Danish Data Science Academy, funded by the Novo Nordisk Foundation (NNF21SA0069429) and the Villum foundation (40516). Made use of computational support by CoSeC, the Computational Science Centre for Research Communities, through CCPi (EPSRC grant EP/T026677/1). How to cite this data: Naver, Estrid Buhl; Wulff Nikolajsen, Katrine; Carøe, Martin Sæbye; Battaglia, Domenico; Frydenvang, Jens; Bizzarro, Martin; et al. (2026). X-ray CT reconstruction of Black Beauty meteorite. Technical University of Denmark. Dataset. https://doi.org/10.11583/DTU.31292965This dataset is published under the CC BY 4.0 license.This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator.

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