Data for the study: Decrypting magnetic fabrics (AMS, AARM, AIRM) through the analysis of mineral shape fabrics and distribution anisotropy

SND-ID: 2021-44

Creator/Principal investigator(s)

Tobias Mattsson - Stockholm University, Department of Geological Sciences orcid

Benoît Petri - Université de Strasbourg, CNRS orcid

Bjarne Almqvist - Uppsala University, Department of Earth Sciences orcid

Description

Anisotropy of magnetic susceptibility (AMS) and anisotropy of remanence magnetization (AARM and AIRM) are efficient and versatile techniques to indirectly determine rock fabrics. Yet, deciphering the source of a magnetic fabric remains a crucial and challenging step, notably in the presence of ferrimagnetic phases. Here we use X-ray micro-computed tomography to directly compare magnetite and amphibole Shape-Preferred Orientation and spatial distribution data to AMS, AARM and AIRM data from five hypabyssal trachyandesite samples. This study thus reports quantitative petrofabric data on magnetite shape and distribution anisotropy on magnetic fabrics in igneous rocks. Our results have first-order implications for the interpretation of petrofabrics using magnetic methods.

Language

English

Research principal, contributors, and funding

Research principal

Stockholm University

Responsible department/unit

Department of Geological Sciences

Funding

  • Funding agency: Swedish Research Council
  • Funding agency's reference number: 2019-06300
Protection and ethical review

Data contains personal data

No

Method and time period

Time period(s) investigated

2018-06-01 – 2021-05-15

Geographic coverage

Geographic spread

Geographic location: Argentina

Geographic description: Samples were collected from the Chachahuén volcanic complex in the Neuquèn basin in Argentina.

Publications

Mattsson, T., Petri, B., Almqvist, B., McCarthy, W., Burchardt, S., Palma, J. O., et al. (2021). Decrypting magnetic fabrics (AMS, AARM, AIRM) through the analysis of mineral shape fabrics and distribution anisotropy. Journal of Geophysical Research: Solid Earth, 126, e2021JB021895. https://doi.org/10.1029/2021JB021895
DOI: https://doi.org/10.1029/2021JB021895

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Dataset
Data generated during the study: Decrypting magnetic fabrics (AMS, AARM, AIRM) through the analysis of mineral shape fabrics and distribution anisotropy

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Description

Data generated during the study Mattsson et al. 'Decrypting magnetic fabrics (AMS, AARM, AIRM) through the analysis of mineral shape fabrics and distribution anisotropy'

-MicroXCT mineral data extracted from the software Blob3D are given in spreadsheet named after the samples. The data files named TT_XX.xls can be opened with the software Tomofab (Petri et al. 2020). The data include extracted grain volume and XYZ position in mm, XYZ radius length in mm, and XYZ orientation in directional cosin

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Version 2

2021-05-31
https://doi.org/10.5878/qvth-zy87

Data added : Saturation IRM 3000 mT field measurement and AIRM tensor test data added to the dataset.

Data corrected : Sample name CB15 added to sample name column in the file CB_TX

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Citation

Tobias Mattsson, Benoît Petri, Bjarne Almqvist. Stockholm University (2021). Data generated during the study: Decrypting magnetic fabrics (AMS, AARM, AIRM) through the analysis of mineral shape fabrics and distribution anisotropy. Swedish National Data Service. Version 2. https://doi.org/10.5878/qvth-zy87

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Data format / data structure

Text

Other

Creator/Principal investigator(s)

Tobias Mattsson - Stockholm University, Department of Geological Sciences orcid

Benoît Petri - Université de Strasbourg, CNRS orcid

Bjarne Almqvist - Uppsala University, Department of Earth Sciences orcid

Keywords

ams, aarm, airm, igneous rocks

Time period(s) investigated

2018-06-01 – 2021-05-15

Data collection

  • Description of the mode of collection: Description of mode of collection given in description of data
  • Time period(s) for data collection: 2018-06-10
  • Instrument: Agico Kappabridge KLY5
  • Instrument: Agico Kappabridge MFK1-FA
  • Instrument: Nikon Metrology XT H 225 ST X-ray microtomograph
  • Instrument: AGICO’s LDA5 and PAM1
  • Instrument: MMPM 10
  • Instrument: Agico JR6-a spinner magnetometer
  • Temporal resolution: 3 year

Variables

80

License

Creative Commons  Attribution 4.0 International (CC BY 4.0)
Published: 2021-03-01
Last updated: 2021-05-31