Data analysis toolkit for long-term, large-scale experiments

Bennett, Daniel, Cuss, R., Vardon, Philip James, Harrington, J. F., Philp, Roger ORCID: https://orcid.org/0000-0003-3001-0341 and Thomas, Hywel Rhys ORCID: https://orcid.org/0000-0002-3951-0409 2012. Data analysis toolkit for long-term, large-scale experiments. Mineralogical Magazine 76 (8) , pp. 3355-3364. 10.1180/minmag.2012.076.8.48

Preview

PDF - Accepted Post-Print Version Download (482kB) | Preview

Abstract

A new data analysis toolkit which is suitable for the analysis of large-scale, long-term datasets and the phenomenon/anomalies they represent is described. The toolkit aims to expose and quantify scientific information in a number of forms contained within a time-series based dataset in a quantitative and rigorous manner, reducing the subjectivity of observations made, thereby supporting the scientific observer. The features contained within the toolkit include the ability to handle non-uniform datasets, time-series component determination, frequency component determination, feature/event detection and characterization/parameterization of local behaviours. An application is presented of a case study dataset arising from the ‘Lasgit’ experiment.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Uncontrolled Keywords:	Lasgit, large-scale experiment, large dataset, non-uniform, time-series analysis
Additional Information:	Special issue on geological disposal Pdf uploaded in accordance with publisher's policies at http://www.sherpa.ac.uk/romeo/issn/0026-461X/ (accessed 2.7.15).
Publisher:	Mineralogical Society
ISSN:	0026-461X
Date of First Compliant Deposit:	30 March 2016
Last Modified:	10 Nov 2023 12:49
URI:	https://orca.cardiff.ac.uk/id/eprint/32058

Citation Data

Cited 4 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item