Because it is difficult to resolve some of the high-frequency features in the spectrograms, we also give summaries of the RMS levels of the time series in 1-octave bands from 0.25 to 32 Hz for each day from 16 December 2001 to 27 January 2002. These are shown in Figures F12, F13, F14, F15, F16, F17, F18, F19, F20, F21, F22, F23, F24, F25, F26, F27, F28, F29, F30, F31, F32, F33, F34, F35, F36, F37, F38, F39, F40, F41, F42, F43, F44, F45, F46, F47, F48, F49, F50, F51, F52, F53, and F54 for the vertical component of the Guralp sensor (HHZ) only. The RMS levels are determined by integrating the power spectral density over 1-octave bands centered at the labeled frequencies. Power spectral density was computed for window lengths of 16,384 points (~102.4 s). Within each window, ffts were computed over 4096 point intervals, with 75% overlap and Hanning tapers. Welch averaging was used to compute the power spectral densities from the 13 ffts. These plots are useful for observing high-frequency events in the data such as whales, shipping, drilling noise, and so on. To observe low-frequency effects at the microseism peak and below, see the spectrograms.