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Micromagnetic domain structures and thermal stability of magnetite and iron as a function of grain size, shape and temperature (NERC grant NE/J020966/1)

The vast majority of palaeomagnetic recordings held in rock and meteorites are contained in small inhomogeneously magnetised particles that have a single-vortex (SV) domain state. The reliability and fidelity of the magnetic recording in these particles can only be determined using a numerical micromagnetic approach. This data set provides the first comprehensive examination of domain state as a function of grain size, grain shape and temperature for both magnetite and iron. The results show that SV domain states are highly stable, and in some cases more stable than their ‘ideal’ uniformly magnetized counterparts. With the data sets in this archive it is possible to determine the magnetic recording and stability characteristics of assemblies of grains that can be matched to a wide variety of grain distributions found in terrestrial rocks and meteorites.

Default

Identification info

Metadata Language
English (en)
Dataset Reference Date ()
2017-08-08
Identifier

http://data.bgs.ac.uk/id/dataHolding/13607193

 

University of Edinburgh

-

Professor Wyn Williams

(

School of Geosciences

)

Grant Institute, The King's Buildings, James Hutton Road

,

Edinburgh

,

EH9 3FE

,
Maintenance and update frequency
notApplicable
GEMET - INSPIRE themes
  • Geology
BGS Thesaurus of Geosciences
  • Magnetite

  • Iron

  • Palaeomagnetism

Keywords
  • NERC_DDC

Limitations on Public Access
otherRestrictions
Other constraints
no limitations
Other constraints
The dataset is made freely available for access, e.g. via the Internet. Either no third party data / information is contained in the dataset or BGS has secured written permission from the owner(s) of any third party data / information contained in the dataset to make the dataset freely accessible.
Use constraints
otherRestrictions
Other constraints

The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.

Other constraints

The dataset is made available to external clients under BGS Digital Data Licence terms and conditions. Revert to the IPR Section (iprdigital@bgs.ac.uk) if further advice is required with regard to permitted usage. iprdigital@bgs.ac The dataset is made available to external clients under BGS Digital Data Licence terms and conditions. Revert to the IPR Section (iprdigital@bgs.ac.uk) if further advice is required with regard to permitted usage.

Topic category
  • Geoscientific information
Begin date
2013-01
End date
2017-06
 

Spatial Reference System

No information provided.

Distribution Information

Data format
Resource Locator
https://dx.doi.org/10.1126/sciadv.1501801
Resource Locator
https://dx.doi.org/10.1126/sciadv.1501801
 
Quality Scope
nonGeographicDataset
Other

non geographic dataset

Report

Dataset Reference Date ()
2011
Explanation

See the referenced specification

Degree

Report

Dataset Reference Date ()
2010-12-08
Explanation

See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF

Degree
Statement

The Micromagnetic models were computed using ‘MERRILL’ which is freely available for a variety of platforms (linux, osx, windows) and can be downloaded from https://bitbucket.org/wynwilliams/merrill. MERRILL is a script driven micromagentic solver, and full documentation is provided in the documentation folder of the Bitbucket repository.

Metadata

File identifier
5871fa10-d278-5986-e054-002128a47908 XML
Metadata Language
English (en)
Resource type
nonGeographicDataset
Hierarchy level name

non geographic dataset

Metadata Date
2022-05-19
Metadata standard name
UK GEMINI
Metadata standard version

2.3

 

British Geological Survey


Environmental Science Centre,Keyworth

,

NOTTINGHAM

,

NOTTINGHAMSHIRE

,

NG12 5GG

,

United Kingdom

+44 115 936 3100
 
 

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Associated resources (if any)

Not available


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