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

Bennett, D.P.; Cuss, R.J.; Vardon, P.J.; Harrington, J.F.; Philp, R.N.; Thomas, H.R.. 2012 Data analysis toolkit for long-term, large-scale experiments. Mineralogical Magazine, 76 (8). 3355-3364. https://doi.org/10.1180/​minmag.2012.076.8.48

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Abstract/Summary

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:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1180/​minmag.2012.076.8.48
Programmes:	BGS Programmes 2010 > Minerals and waste
Date made live:	12 Feb 2013 13:52 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/500066

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