This is a page describing data taken during an experiment at the ISIS Neutron and Muon Source. Information about the ISIS Neutron and Muon Source can be found at https://www.isis.stfc.ac.uk.
Using neutron tomography to understand Neoproterozoic stromatolite morphology and mineral phase relationships
Abstract: Stromatolites are laminated organo-sedimentary structures formed due to complex interactions between biological activity, sedimentation, and mineral precipitation. In this proposal, we seek to conduct high-resolution (spatial resolution = 0.06 mm) neutron tomography of diverse 1000?900 million-year-old fossil stromatolites from the Neoproterozoic Era, a period of environmental perturbations featuring major glacial events and rapid atmospheric oxygenation. We will acquire 3D volumes within three distinct stromatolites in order to understand relationships between biological layers and carbonate layers, identifying mineralogical phenomena and spatial distributions of diverse carbonate minerals to elucidate their mineralisation pathways, and provide 3D contextualisation of inorganic geochemical analyses that are also being conducted on these materials as part of a wider research programme.
Local Contact: Dr Anna Fedrigo
Experimenter: Dr Imran Rahman
Experimenter: Professor Caroline Smith
Experimenter: Dr Keyron Hickman-Lewis
DOI: 10.5286/ISIS.E.RB2210314
ISIS Experiment Number: RB2210314
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.RB2210314-1 | IMAT | 29 March 2025 | Download |
Publisher: STFC ISIS Neutron and Muon Source
Data format: RAW/Nexus
Select the data format above to find
out more about it.
Data Citation
The recommended format for citing this dataset in a research
publication is as:
[author], [date], [title], [publisher],
[doi]
For Example:
Dr Anna Fedrigo et al; (2022): Using neutron tomography to understand Neoproterozoic stromatolite morphology and mineral phase relationships, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2210314
Data is released under the CC-BY-4.0 license.