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In total, 843 Greenland temperature time series were generated from different realizations of argon and nitrogen isotopic values produced within estimated errors4.

The surrogate series are generated from the original EEG signals on the basis of a certain null hypothesis.

15 surrogate series were generated from each original data series.

Additionally, in order for these nonparametric methods to learn from multiple datasets, it was assumed that the individual time series were generated from networks with identical topology.

Most methods for reverse engineering GRNs from multiple datasets assume that each of the time series were generated from networks with identical topology.

For resting baseline (RB), 48 CBF image series were generated from the 48/label/control ASL image pairs using the same methods for CBF calculations.

For both SC and non-SC stimuli, 100 CBF image series were generated from the 100 label/control ASL image pairs using a simplified two-compartment model with the sinc interpolation method for CBF calculations [ 31].

The non-periodic time-series was generated from (μ=0, σ=1) normally distributed white noise and AR processes of order one, AR(1), as suggested by Futschik and Herzel (2008).

From this geodatabase separate animated map series were generated for all serotypes or groups of serotypes isolated from pigs, cattle and sheep respectively.

A microarray time series was generated by collecting the PSM tissue from 17 embryos (17 time points) along the clock cycle and analyzed using L analysis [5] that focuses on the genes whose expression patterns display the best fit to a sine curve [11].

Random series with identical length to the openloop series were generated by drawing from these distributions, forming the "poisson" group.