Previous studies used statistical, frequency and geometric analyses to measure variability in very frequent, almost continuous temperature measurements [ 20, 31- 33].
The measurement scheme in the drifting buoys is capable to measure variability in sea surface temperature and small mesoscale surface eddies.
However, predicted values reflected with moderate accuracy the scale (samples within subplots, subplots within plots, plots within treatments) of measured variability in soil C, N, and pH.
A series of low sediment concentration (15 mg·L− 1), colder water (< 10 °C) wave tank experiments designed to measure variability in these parameters in naturally-formed OMAs in response the presence or absence of chemical dispersant are discussed.
Sixty-four samples from the river, estuary, plume, and adjacent ocean were collected in different seasons and analyzed to correlate the measured variability in chemical, physical and biological water parameters to differences in global gene expression profiles.
Measured variability in both data sets was well matched by theoretical variability within the degenerate optimal region.
To measure variability in monoamine metabolites, lumbar cerebrospinal fluid (CSF) was collected in serial samples in depressed patients before and after treatment.
Thus, just as the COPUS profiles provide insight into transitional RTOP scores, RTOP scores can measure variability in student-centeredness within the COPUS profiles.
Several recent studies discovered strong connections between noise and gene regulation mechanisms through measuring variability in protein and mRNA levels [ 9, 10].
Bradford et al. (2011) measured variability in PK for TCE using a panel of inbred mouse strains, revealing marked differences among individual mice (e.g., a greater than 4-fold difference in peak serum concentrations of TCE metabolites).
For Affymetrix arrays, the metrics described above lead to nine quantitative measures of array quality computed on each array: ABG (average background), SF (scale factor), PP (percent present), AR (actin 3′/5′ ratio), GR (GAPDH 3′/5′ ratio), median NUSE, median RLE, RLE-IQR (interquartile range of IQR per array, to measure variability in RLE) and RNAS (slope of RNA degradation measure).
