In contrast, although slight extensional changes in the 2014 activity data were recognized in the medium, long, and dike stacked data about a month and a half before the eruption, the magnitudes of these changes were small compared with those in the 2007 activity.
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The importance of detecting outliers in data has been recognized in the fields of database and data mining for a long time.
While in faint mode these grades are already recognized in the data processing, they will be accounted for in the next CIAO release.
The three crusher gradient pulses (slew rate = 25 mT/m/ms) used during noise level determination can clearly be recognized in the data from the sensors.
By doing this comparison, the inconsistencies may be recognized in the data of the phases, such as large clock bias, misidentification of the seismic phases or typing mistakes.
The SCM predicts the existence of Stage IV creep, which comes after the tertiary creep – where examination of nonlinear creep data clearly indicate the presence of Stage IV creep, although heretofore not recognized, in the experimental data.
Slight extensional changes prior to the eruption (indicated by the red arrow in each panel) can be recognized in the stacked data.
All nodes supported by posterior probabilities above 0.95 in the tree obtained from the Bayesian analyses of the concatenated data set of all genes are recognized in the chronogram.
Nevertheless, a slight extensional step-like change was recognized in the medium stacked data, and slight extensional changes were also seen in the long and dike stacked data.
