Neutron 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.8298772 Depositor (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: Reconstructed neutron CT measured of Martian meteorite NWA 7034 / Black Beauty. Measurements were performed at the ICON beamline at the Paul Scherrer Institute in Switzerland, using a white beam with peak energy 25 meV. The sample was measured using the taper setup with a circular field-of-view with diameter 10 mm, a voxel size of 6.2 micrometers and an exposure time of 4 min per projection. In total 1125 projections were measured. 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 three resolution levels: 0,1,2 with 6.2, 12.4 and 24.8 micron³ voxel size.Data can be loaded in Python using the following lines: import zarr path = 'neutron' z = zarr.open(path, mode="r") volume = z['2'][:] # Loads the 24.8 micron voxel size volume Methods, materials and software: Projections were cleaned with a spot cleaning filter using Muhrec (Kaestner, A. (2011). MuhRec—A new tomography reconstructor. NIM-A, 651. doi: 10.1016/j.nima.2011.01.129). Reconstruction was performed in Python using the Core Imaging Library using an optimisation-based iterative reconstruction with total variation regularisation. The code can be found on github at https://github.com/msaca-okse/Multimodal_CT_Black_Beauty. 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). Neutron CT reconstruction of Black Beauty meteorite. Technical University of Denmark. Dataset. https://doi.org/10.11583/DTU.31305256 This 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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