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Fig. 1.


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(a) Fictional time series Xi, comprised of deterministic (Di), stochastic (Ni), and a low-amplitude repeating signal (Si) components. Di and Ni range from 0.0 to 1.0, while Si has an amplitude of 0.3. (b) Fi, a 21-point smooth (box-car running mean) of Xi. By subtracting Fi from Xi a high-pass filtered dataset Ai is produced. (c) A composite matrix of events from Ai, where rows = n, the number of repeating signals in Si (a composite event), and columns = t, the number of days since the composite event. (d) Ct, the composite means of Ai, the SEM.

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