Work

Trabecular bone datasets for SAXS Tensor Tomography

Year: 2019

Type: dataset

Abstract: Experimental data from SAXS tensor tomography measurement. Results from these data were first published in Liebi et al. (2015, https://doi.org/10.1038/nature16056, 2018, https://doi.org/10.1107/S205327331701614X). They have been repackaged for use with the software MUMOTT (https://doi.org/10.5281/zenodo.7919490) The data from the set called trabecular_bone_9.h5 was previously published on Zenodo (https://doi.org/10.5281/zenodo.1480589) as a supplement to Gao et al. (2019, https://doi.org/10.1107/S2053273318017394). In addition, the data from trabecular_bone_10.h5 was used in Guizar-Sicairos et al. (2020, https://doi.org/10.1107/S1600577520003860).

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.7940752

Authors: Leonard Nielsen, Marianne Liebi, Manuel Guizar-Sicairos, Marios Georgiadis

Institutions: Chalmers University of Technology, Paul Scherrer Institute, Stanford University

Language: English

Topic: Advanced X-ray Imaging Techniques

Subfield: Radiation

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4393428783

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