Trabecular bone datasets for SAXS Tensor Tomography

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).

ML, MG and MG-S. performed the original experiments to collect the data. LN repackaged the data for use with the software MUMOTT.

v. 1.2b: Updated names of entries, degrees changed to radians, re-aligned trabecular_bone_10.h5.

Related Organizations

Stanford University
United States
Paul Scherrer Institute
Switzerland
Chalmers University of Technology
Sweden

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average