X-ray CT scan of true triaxially deformed Darley Dale sandstone sample tts6 (NERC Grant NE/N003063/1)

X-ray CT scan dataset of Darley Dale sandstone sample tts6. This sample was deformed in a true triaxial apparatus, and is fully described in the PhD thesis of Stuart (1992, UCL). The sample is a cube, measuring approximately 50 mm on a side. The sample experienced two sets of true triaxial deformation (test DDSS0009 and DDSS0010), with different applied stresses in the 1, 2 and 3 directions. This deformation produced distinct families of brittle microcracks, which were detected using acoustic emissions and seismic velocity analysis. This X-ray CT scan dataset was collected in 2019 at the University of Aberdeen by Dr Stewart Chalmers and Dr Dave Healy.

Date (Creation): 2022-01-14

Identifier: http://data.bgs.ac.uk/id/dataHolding/13607884

Originator

University of Aberdeen - David Healy

Meston Building , Aberdeen , AB24 3UE ,

Principal investigator

University of Aberdeen - David Healy

Meston Building , Aberdeen , AB24 3UE ,

Distributor

British Geological Survey - Enquiries

Point of contact

British Geological Survey - Enquiries

Maintenance and update frequency: notApplicable notApplicable

GEMET - INSPIRE themes, version 1.0

Geology

BGS Thesaurus of Geosciences

Tomography
X rays
Sandstone
NGDC Deposited Data

dataCentre

NGDC Deposited Data

Keywords

NERC_DDC

Access constraints: otherRestrictions Other restrictions

Other constraints: licenceOGL

Other constraints: Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"

Use constraints: otherRestrictions Other restrictions

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: There are no restrictions on the use that may be made of the dataset, although an appropriate copyright acknowledgement must be made when any part of the dataset is reproduced. Either no third party data / information is contained in the dataset or BGS has secured written permission from the owner of any third party data / information contained in the dataset to make the dataset freely available without any use constraints - inclusion of any third party data / information will affect the copyright acknowledgement that needs to be made.

Metadata language: EnglishEnglish

Topic category

Geoscientific information

Begin date: 2019-10-30

End date: 2019-10-30

Reference System Information

No information provided.

Distribution format

Distributor

British Geological Survey - Enquiries

OnLine resource: Data

Hierarchy level: nonGeographicDataset Non geographic dataset

Other: non geographic dataset

Conformance result

Date (Publication): 2011

Explanation: See the referenced specification

Pass: No

Conformance result

Date (Publication): 2010-12-08

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

Pass: No

Statement: X-ray CT scan results. These data were produced at the University of Aberdeen in the School of Engineering. We used a XT H 225ST Nikon CT scanner, with a spatial resolution of 3 micrometres, and a maximum source of 225 kV. The files in the dataset are the raw unprocessed .tif image slices. The data were acquired by Dr Stewart Chalmers and Dr Dave Healy at the University of Aberdeen, in 2019.