I run by using the function tfrwv.m in Time-Frequency Toolbox
[B,T,F] = tfrwv(data, 1:length(data), length(data), 1); B(1:130, :) = 0; % remove the duplic
I think tfrwv is equivalent to spectrogram if you use the following command.
tfrwv
spectrogram
Time-interval is t = 1/360. Choose fs = 360.5.
t = 1/360
fs = 360.5
imagesc(T*t, F*fs, abs(B));
There are more peaks in tfrwv probably because the window size and overlap are different from what you used in spectrogram.
The result