Date: Thu, 28 Mar 2024 09:34:27 +0000 (UTC)
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Hydrophone Spectral Data
ONC hosts a large number of hydrophones (169 over 11 different types and=
growing). This instruments produce audio data with sounds at a wide range =
of frequencies, having applications in seismology, marine mammal studies, s=
hip noise and more. Hydrophone spectral data (PNG /=
PDF image files of the spectrogram, FFT and =
MAT data files) are provided as a summary of the audi=
o recording and for detailed analysis. With spectrogram images and data, us=
ers can determine the sources and nature of sounds they can hear in the audio =
data files : passing ships make hyperbolic curves, whales make chirps an=
d resonances, etc. Spectrogram images, particularly the PDF format, are a great way to scan through a vast amount of data quickl=
y, looking for events. Listening to this data would be very time consuming,=
plus the human ear is not capable of picking up some high or low frequency=
sounds that may be quite interesting.
Spectrogram image files (PDF /PNG ) are =
available for all hydrophones and hydrophone arrays. For hydrophones locate=
d on low-bandwidth observatories (Cambridge Bay, Brentwood Bay, etc), =
aud=
io data files may not be available. In this case, audio data is stored =
on site to be retrieved periodically during site visits and uploaded to the=
archiving system. To provide live data, low-bandwidth observatories upload=
spectrogram FFT files as they are much smaller than =
the full audio data. FFT files may be used to generat=
e and fill in spectrogram plots when full audio data is not available (see =
the Spectrogram Source data product option option). MAT fi=
les store pre-generated one-minute ensemble-averaged spectral data, primari=
ly for use in spectral probability density plots , =
and are available for download directly and quickly, while the full spectra=
are also available as an option on the MAT files (much sl=
ower to generate).
Oceans 3.0 API filt=
er : dataProductCode=3DHSD
Data Diversion
Given the sensitive nature of hydrophone data, the military has authorit=
y to completely divert the data and/or filter it as required. When fi=
ltering occurs, the file-name is appended with '-HPF' or '-LPF', correspond=
ing to high and low pass filtered data (common prior to 2016, rare after th=
is time). Often, the military diverted data will be reviewed and returned a=
t a later date with or without filtering. See here for more information on the diversion of hydrophone and sei=
smometer data . Data product options are provided to sort out the variou=
s types of diverted data (see below). Not all options are available for all=
devices: for instance, in some cases, we may not offer '-LPF' spectrograms=
even if there are '-LPF' audio files because such a spectrogram would offe=
r so very little useful data. The option sets are also responsive to locati=
on (some locations are not subject to diversion). For icListen HF hydrophon=
es, FFT spectral data are often available during a di=
version and will be used to produce spectrograms to fill in data gaps until=
audio data is returned.
Processing Time
Spectrograms may take some time to generate. PNG s=
pectrograms files are normally pre-generated and stored, so their retrieval=
is quick. However, PDF spectrograms are not pre-gene=
rated, but will be computed on-demand from stored source WAV or HYD files. Processing speed is nominally a=
bout 5 to 20 seconds per 5 minute audio file. The final step of PDF=
generation, aggregating the individual spectrograms, takes m=
ore time for a larger number of files. In all, requesting a day's worth of =
PDF spectrograms may 20 to 60 minutes. Please be patient, a day's worth of =
data is roughly 16 GB of WAV files, 500 MB of MP3 s, 160 MB of PDF s, 200 MB of PNGs, 100 MB of MAT s. A single hydrophone can generate te=
rabytes of data in a year. It is a vast amount of data to store and serve t=
o our users.
Calibration
Spectrograms, spectral data and sp=
ectral probability density are calibrated to absolute sound pressure level =
whenever the calibration is available. Calibration data can be found in the=
device attributes page for each device, e.g. https:/=
/data.oceannetworks.ca/DeviceListing?DeviceId=3D23159 . Calibrations are time sensitive and frequency specifi=
c. For instance, if a 48 kHz hydrophone only has calibration for the first =
1600 Hz, then only the calibrated frequency bins will be shown, even though=
the device is captures signals up to 24 kHz. We will endeavour to calibrat=
e as many hydrophones as possible: the icListen hydrophones in particular a=
re more readily calibrated. When calibration is available, the units on the=
spectrograms will be dB re 1 uPa RMS and SpectData.isCalibrated in the mat=
files will be true or 1. When calibration is not available, the units on t=
he spectrograms will be dB re full scale and SpectData.isCalibrated in the =
mat files will be false or 0. Note that spectrograms produced from&nb=
sp; FFT =
spectral data use a single point calibration and are not as accurate. The =
attributes HydrophoneSensitivi=
tyVectorPartXX contain the frequency of the leading edge of the hydrophone =
sensitivity bins and H=
ydrophoneSensitivityVectorBinsLeadingEdgePartXX contains the Sensitivi=
ty vector for hydrophone calibration , where XX is the part number of=
an array containing these numbers (which are required to be split into par=
ts due to limitations in the number of characters for the attributes in the=
database). A second set of device attributes with "Post" inserted in their=
name ("HydrophonePostSensitivityVectorP=
artXX") records the post-deployment calibrations, often carried=
out by ONC HydroCal=
. The post-deployment calibrations are not used in the spectral data ca=
lculations.
Calculat=
ion
Spectral data is generated from th=
e source WAV , FLAC or HYD files and makes use of the calibration data described above. The procedur=
e outlined in Merchant et al. (2012), see the reference here: https://asa.scitation.org/doi/10.1121/1.4754429 . Here is =
the procedure in code form: compiled snippets of our operational MATLAB cod=
e (which may change). Please note that the following code isn't directly ru=
nnable, it would need some modification; it is provided as documentation. C=
omments have been added for clarity.
%% read the source file (WAV or FLAC format
[H.data, H.sampleFrequency] =3D audioread(sourceFilePath); % don't use nat=
ive format with wavread - want to scale to +/-1
Hinfo =3D audioinfo(sourceFilePath);
H.numBits =3D Hinfo.BitsPerSample;
%% set up the spectrogram parameters constrained by the calibration -> m=
akes the time resolution variable, spectral resolution is set
% sensitivityBinFrequencies, sensitivity are read from the calibration file=
, decimationFactor is rarely used (usually value of 1) and badly named, it =
changes the resolution
j =3D 1; % channel index, set to one for this example
nFFT =3D H(j).sampleFrequency / median(diff(sensitivityBinFrequencies)) * d=
ecimationFactor;
windowLength =3D nFFT;
numPeriods =3D floor((length(H(j).data) - windowLength) / (1 - overlapFacto=
r) / windowLength + 1);
timeResolution =3D numPeriods / (length(H(j).data) / H(j).sampleFrequency);
spectralResolution =3D H(j).sampleFrequency / nFFT;
%% calculate the spectra
% window the data with a Hanning window
% overlapFactor is 0.5 for spectrograms, but is 0 for spectral probability =
densities, including the one-minute averaged spectral MAT files
hannWindow =3D hann(windowLength, 'periodic');
windowedData =3D zeros(windowLength, numPeriods);
for k =3D 0:numPeriods-1
indexAdj =3D floor(k * (1-overlapFactor) * windowLength);
windowedData(:, k+1) =3D H(j).data((1 + indexAdj):(windowLength + index=
Adj)) .* hannWindow * 2;
end
% to save memory, clear the data struct after windowing, won't need it agai=
n
H(j).data =3D [];
% calculate the FFT on the windowed data matrix (yes, it works on the corre=
ct dimension). Clear the windowData to save memory.
thisFFT =3D fft(windowedData, nFFT);
windowedData =3D [];
% calculate the single-sided FFT magnitude for the peak amplitude, scale PS=
D for Hanning noise power bandwidth. Clear the FFT to save memory.
psd =3D abs(thisFFT(1:floor(nFFT/2)+1,:)) * (2 / windowLength / sqrt(1.5));
thisFFT =3D [];
% calculate the time and freq axes for the PSD
sTimeSec =3D (1:numPeriods) * (windowLength * (1-overlapFactor))/H(j).sampl=
eFrequency; % this accounts for the non-existence of the zeroth and nth win=
dows
sFreq =3D (0:floor(nFFT/2)) * spectralResolution; % this accounts for the =
nFFT being an odd number
%% calibrate
% interpolate the calibration on the frequency bins - this is in case there=
's some discrepancy - normally doesn't affect anything
sensInterp =3D interp1(sensitivityBinFrequencies, sensitivity, sFreq);
% only use bins that are with in the range of calibration - in the case of =
LPF or HPF data exclude data outside of the cutoff frequencies
% the default values for lowPassCutoffFreq, highPassCutoffFreq is NaN, so g=
oodFreqLI doesn't trim any frequencies
goodFreqLI =3D all([sFreq >=3D nanmax(-1, highPassCutoffFreq); sFreq <=
;=3D nanmin(Inf, lowPassCutoffFreq); sFreq <=3D max(sensitivityBinFreque=
ncies)], 1);
sensInterp =3D repmat(sensInterp(goodFreqLI).', 1, size(psd, 2));
psd =3D psd(goodFreqLI, :) * (1/sqrt(2)) * (2 ^(H(j).numBits - 1)); % scale=
peak amplitude to RMS, then convert +/-1 range data to native scale
psd =3D 20*log10(psd ./ 10.^(sensInterp/20)); % apply the calibration - sen=
sitivities to correct spectral response
sFreq =3D sFreq(goodFreqLI); % update the frequencies
%% Compensate for Hanning window: find the max PSD for the windowing functi=
on and subtract it
hannFFT =3D fft(hannWindow, nFFT);
hannPSD =3D 2*abs( hannFFT(1:floor(nFFT/2)+1,:) / windowLength );
psd =3D psd - 20*log10( max(hannPSD(1:length(sFreq))) );
The end product of the above core code is the "psd" power spectral densi=
ty, "sFreq" frequency bins, "sTimeSec" time bins, with the latter two match=
ing the dimensions of the "psd" matrix. Future changes will include GPU pro=
cessing and perhaps some refactoring (this code doesn't meet our code devel=
opment standards as the standards are newer than the code!). After the spec=
tral data is calculated a number of additional steps maybe applied prior to=
producing the spectrograms or MAT data files. This includ=
es careful downsampling (in time and frequency) for spectrograms so that ea=
ch pixel is a data point (so that the rendering doesn't distort the log sca=
le data, usually the dimensions of the "psd" matrix are much larger than th=
e dimensions of the images we render to screen) and we also do one-minute d=
ownsampling for the default one-minute spectral MAT files; all of the above=
downsampling is really just box-car style re-binning with log scale averag=
ing. The raw calibrated spectra, one-minute averaged spectra and the data p=
lotted in the spectrogram plots are all available via spectral MAT =
data files using "Spectral Data Downsampling" option (see the opti=
on section below).
Revision History
20130912: Hydrophone spectrogram FFT files initia=
lly made publicly available
20140123: Spectrogram PNG /PDF fi=
les made available on all hydrophones
20140315: Spectrogram images may be produced from FFT &=
nbsp;files
20150906: Spectrogram data made available as MAT =
files
20180705: Daily spectrograms made available as PNG/PDF =
and MAT files
Data Product Options
Hydrophone Channel
For hydrophone data products only ( audio and spectrog=
ram data) on the hydrophone array devices only:
H1
This option will cause the search to return results for hydrophone chann=
el H1 only. The hydrophone arrays consist of multiple hydrophones connected=
to a single data acquisition computer, which collects the data into single=
files that have multiple channels (nominally ra=
w hydrophone array files, although other formats can handle multiple ch=
annels). Data products may be produced from these files on a per channel ba=
sis and returned as specified.
This is the default option.
Oceans 3.0 API filt=
er : dpo_hydrophoneChannel=3DH1
File-name mode field
'H1' is added to the file-name when the hydrophone channel option is set=
to H1, i.e. IOS3HYDARR02_20111211T152404.000Z-spect-H1.pdf.
H2
This option will cause the search to return results for hydrophone chann=
el H2 only.
Oceans 3.0 API filt=
er : dpo_hydrophoneChannel=3DH2
File-name mode field
'H2' is added to the file-name when the hydrophone channel option is set=
to H2, i.e. IOS3HYDARR02_20111211T152404.000Z-spect-H2.png.
H3
This option will cause the search to return results for hydrophone chann=
el H3 only.
Oceans 3.0 API filt=
er : dpo_hydrophoneChannel=3DH3
File-name mode field
'H2' is added to the file-name when the hydrophone channel option is set=
to H3, i.e. IOS3HYDARR02_20120801T090939.000Z-H3.mp3.
All
This option will cause the search to return results for all available hy=
drophone channels.
Oceans 3.0 API filt=
er : dpo_hydrophoneChannel=3DAll
File-name mode field
'H1', 'H2', 'H3', etc are added to the file-name.
Hydrophone Data Diversion Mode=
For hydrophone data products only ( audio and spectrog=
ram data):
Diversion Mode
For security reasons, the military occasionally diverts seismic and acou=
stic data. Over time how this diversion is performed has changed. Currently=
, when diverted the entire data set is removed. Diverted data is then=
reviewed by military authorities, if it does not contain sensitive recordi=
ngs it is returned to the ONC archive.
Standard practice prior to August 2016: instead of diverting the entire =
data stream, the military diverted only a low frequency band of the data. W=
hen this filtering occurred, the remaining data's file-name was appended wi=
th 'HPF' for high-pass filtering, while the low-pass data was held for revi=
ew. Usually that withheld/diverted data was returned, after a delay of 3 da=
ys to 2 months; those files are appended with 'LPF' for low-pass filtered. =
To further confuse matters, sometimes the file-name appending was not compl=
ete - half of the data stream was not appended with the LPF or HPF moniker =
(usually the HPF side), however, our data product software now detects this=
via time overlaps and handles the other half of the LPF/HPF even if it isn=
't named so. After 2016, diversions tended to be all or nothing and no low-=
pass diversion occurred. Recently, the LPF/HPF data splitting has occurred =
again.
Data diversion is further explained in the data diversion page . Feel free to contact us for support.
Original Data
This option will cause the search to return results for original data on=
ly. Files labelled with "-HPF" or "-LPF" are excluded as well as any f=
iles that overlap in time with "-HPF" or "-LPF" files. For spectral probabi=
lity density plots and spectrograms, 'Data Diversion Mode: Original Data' w=
ill appear in the plot title.
This is the default option.
Oceans 3.0 API filt=
er : dpo_hydrophoneDataDiversionMode=3DOD
Low Pass Filtered
Applies to pre-August 2016 data (with some exceptions). This option will=
cause the search to return results for diverted data that has been low pas=
s filtered only (only files with "-LPF" in the their file-names). For spect=
ral probability density plots and spectrograms, 'Data Diversion Mode: Low P=
ass Filtered' will appear in the plot title.
Oceans 3.0 API filt=
er : dpo_hydrophoneDataDiversionMode=3DLPF
High Pass Filtered
Applies to pre-August 2016 data (with some exceptions). This option will=
cause the search to return results for diverted data that has been high pa=
ss filtered only (only files with "-HPF" in the their file-names). For spec=
tral probability density plots and spectrograms, 'Data Diversion Mode: High=
Pass Filtered' will appear in the plot title.
Oceans 3.0 API filt=
er : dpo_hydrophoneDataDiversionMode=3DHPF
All
This option will cause the search to return results for all data. F=
or spectral probability density plots and spectrograms, 'Data Diversion Mod=
e: High Pass Filtered' will appear in the plot title. This is only way to s=
ee data that overlaps in time with files labelled "-LPF" or "-HPF".
Oceans 3.0 API filt=
er : dpo_hydrophoneDataDiversionMode=3DAll
File-name mode field
"-LPF" or "-HPF" is added to the file-name when the quality option =
is set to high or low pass filtered data, i.e. ICLISTENHF1234_20110101T0000=
00Z-HPF.wav. For spectral probability density data products, 'All' may be a=
dded to the file-name, as these plots can join LPF, Original and HPF data t=
ogether into one plot if the spectral frequency bins are the same (data wit=
h different frequency content will make addition plots with labels indicati=
ng the frequency range). For brevity, 'Original' does not get added to the =
file-name.
Acquisition Mode
For hydrophones operating with a duty cycle that includes high and low f=
requency sample rates (the hydrophones alternate between low and high sampl=
e rates periodically, to save battery and memory storage in autonomous depl=
oyments). The low sample frequency data will likely have a sample frequency=
of 16 kHz and the high sample frequency data will likely have a sample fre=
quency greater or equal to then 128 kHz.
Low Sample Frequency
This option will cause the search to return results for the low sample f=
requency data only (files with "-16KHZ" in their file-names). For spectral =
probability density plots and spectrograms, "Data Acquisition Mode: Low Fre=
quency" will appear in the plot title.
Oceans 3.0 API filt=
er : dpo_hydrophoneAcquisitionMode=3DLF
High Sample Frequency
This option will cause the search to return results for the high sample =
frequency data only (files with "-128KHZ" or similar in their file-names). =
For spectral probability density plots and spectrograms, "Data Acquisition =
Mode: High Frequency" will appear in the plot title.
Oceans 3.0 API filt=
er : dpo_hydrophoneAcquisitionMode=3DHF
All
This option will cause the search to return results for both the lo=
w and high sample frequency data or other mode data. For spectral prob=
ability density plots and MAT files, the low and high frequency data will b=
e segregated regardless of option.
Oceans 3.0 API filt=
er : dpo_hydrophoneAcquisitionMode=3DAll
File-name mode field
The sample frequency is added to the file-name for each data acquisition=
mode option, i.e. ICLISTENHF1234_20110101T000000Z-16KHZ.wav. Th=
e Spectrogram_ModeDurationDPO device attribute is populated on devices with=
a duty cycle, it is used to link the low frequency (LF) and high frequency=
(HF) acquisition modes with the exact file-name mode modifier string - if =
this link is not correct, the data acquisition mode option will not properl=
y filter the data products.
{include: Hydrophone Data Acqu=
isition and Diversion Mode }
Spectrogram Source
For hydrophone spectrogram<=
/a> (PNG and PDF ) data products=
only, when FFT spectral data is available (icListen HF hy=
drophones currently):
=
Audio D=
ata Preferred (FFT spectral data fills in gaps only)
In this default option , searches for spectrogram data products =
will return the best combination of spectrograms sourced from .wav or .hyd audio data files and sourced from FFT spectral data files . Hydrophones produce audio data=
and spectrograms are best generated from the audio data. However, in some =
circumstances, such as low bandwidth data connections to remote hydrophones=
or military diversion =
, audio data is not available and we only receive spectral FFT data files. Spectrograms produced from FFT data files fill in the=
gaps where with normal audio data sourced spectrograms are not available. =
This presents the user with the most complete coverage of data.
Oceans 3.0 API filter : dpo_spectr=
ogramSource=3DMIX
Audio data only
This option will cause the search to only return spectrograms sourced fr=
om audio data. This is useful if you just want the high resolution spectrog=
rams.
Oceans 3.0 API filter : dpo_spectr=
ogramSource=3DWAV
.fft Spectral Data only (maybe available regardless of data diversi=
on mode)
This option will cause the search to only return spectrograms sourced fr=
om FFT spectral data files. This is useful when audio=
data is present, but is limited in bandwidth due to military diversion. FF=
T sourced spectrograms have less resolution than audio sourced spectrograms=
but often have frequency ranges from 0 to well above 44 kHz (audio data is=
often limited to 44 kHz sampling)..
Oceans 3.0 API filter : dpo_spectr=
ogramSource=3DFFT
File-name mode field
Spectrograms produced from .fft spectral data files are appended with a =
'-FFT', and are also noted as such within the plots themselves.
Spectrogram Collation
For hydrophone spectral da ta PNG/PDF plots: =
For hydrophone spectral da ta MAT file data pr=
oducts (hidden if spectr=
al data downsampling non-default option is selected):
Concatenate Daily
The spectrogram concatenation option allows users to group/concatenate s=
pectral data into PNG/PDF plots and data (MAT) files. For plots, daily spectrograms are available, while the data fi=
les can be daily or unlimited duration concatenations. Spectral data is ass=
embled into 1-minute box car averages (no overlap), accounting for the loga=
rithmic scale of the data. The other options have an effect on this process=
as well: if multiple acquisition modes, channels, diversion or source file=
type data is present in the collation, these will be separated into differ=
ent files so that dissimilar data is not combined.
Oceans 3.0 API filter : dp=
o_
spectrogramConcatenation=3DDaily
Concatenate Weekly
The spectrogram concatenation option allows users to group/concatenate s=
pectral data into PNG/PDF plots. Spectral data is ass=
embled into 1-minute box car averages (no overlap), accounting for the loga=
rithmic scale of the data. The other options have an effect on this process=
as well: if multiple acquisition modes, channels, diversion or source file=
type data is present in the collation, these will be separated into differ=
ent files so that dissimilar data is not combined.
Oceans 3.0 API filter : dp=
o_
spectrogramConcatenation=3DWeekly
Concatenate (Until=
File Size Limits Reached)
This is the default option for spectral MAT data files =
and is not available for PNG/PDF spectrogram plots. Data i=
s accumulated/concatenated as much as possible, barring file size limits an=
d frequency range compatibility.
Oceans 3.0 API filter : dp=
o_
spectrogramConcatenation=3DConcatenate
None (One FIle For Ev=
ery Source Audio File)
This is the default option for PNG/PDF spectrogram=
plots. This option will cause the accumulation/concatenation step to be sk=
ipped and one file for each source wav, hyd or fft file will be returned, o=
ften directly from the archive (Spectral MAT data fil=
es are archived along with PNG spectrograms for fast retri=
eval).
Oceans 3.0 API filter : dp=
o_
spectrogramConcatenation=3DNone
C=
oncatenate Adjacent Files (for Five Minute or Less Spectrogram)
This option is only applicable for PNG/PDF spectro=
gram plots with a search range less than or equal to five minutes. If the s=
earch range is over five minutes the default option of None (One File For E=
very Source Audio File) is used. This option will produce one spectrogram f=
or the search duration by reading multiple source audio files and concatena=
ting their audio data together before calculating the resulting spectrogram=
.
Oceans 3.0 API filter : dp=
o_
spectrogramConcatenation=3DAdjacent
File-name mode field
The Concatenation Daily option will add a -DAILY to the filename; the Co=
ncatenation Weekly option will add a -WEEKLY to the filename; the Concatena=
tion (Until File Size Limits Reached) option will add a -CONCATENATE to the=
filename.
Spectrogram Plot Options
For hydrophone spectral da ta PNG/PDF plots: =
These options provide the user with the ability to change a number of pa=
rameters of the spectrogram plots. Note that any changes from the defaults =
means the plots are re-generated on-the-fly, while the default options will=
cause the search or data viewer to access the pre-generated spectrograms, =
which is much faster. The default colourmap / palette used is not colour pr=
eceptively balanced and is biased for all users, however it is something of=
an old standard. The colour limits control the limits of the sound levels =
plotted. The frequency upper limit allows users to trim off higher frequenc=
ies that may be extraneous to their use.
Colour Palette:
Up=
per Colour Limit:
Lower Colour Limit:
Upper Frequency Limit:
File-name mode field
The Colour Palette option will add a shortened version of the colour pal=
ette selected to the filename eg. _colour_seqFusCha. The colour limit option will also add a shorted versi=
on of the limit applied if anything but the default is selected eg. _hLim_1=
00 or _lLim_50.
The Upper Frequency Limit option =
will add the limit value selected to the filename (eg. _freqLim1000Hz) if a=
nything but the default is selected.
Spectral Data Downsampling
For hydrophone spectral da ta MAT file data products:
This option affects hydrophone spectral data MAT files only. It's primar=
y purpose is to allow users to specify the time and frequency resolution of=
the spectral data, including being able access the data that is plotted in=
the spectrogram PNG/PDF data products (Spectrogram resolution option). The=
spectrogram resolution option is used by the ONC Data Analytics and Qualit=
y team for automated quality assurance of hydrophone data. Spectral data pr=
oduced by the spectrogram resolution option is downsampled to closely match=
the the size of the standard spectrogram image (1200 by 900 pixels minus t=
he bezel) as noted in the MAT file itself (see SpectData.processingComment)=
. The third option provides the full resolution spectral data as determined=
by the calibration and sample rate of the hydrophone (spectrogram resoluti=
on MAT files are usually about 1/10th the size of the full resolution. The =
full resolution is 0.5 seconds or better in time and usually has 1 Hz frequ=
ency bins). The default option returns the pre-generated one-minute average=
d spectral data MAT file and since these files already exist, most searches=
complete in seconds. The one-minute average file may also have downsampled=
frequency bins to best work as source data for the spectral probability density plots and products . If users select th=
e spectrogram or full resolution option, the Spectrogram Concatenation option will be hidden as =
it is not applicable to either and one spectral data MAT file is generated =
for every source audio file (essentially the "None" concatenation option). =
Spectrogram and full resolution spectral data is not pre-generated, so it h=
as to be generated on-the-fly, which can be quite slow: about 25 seconds pe=
r every 5 minute source audio file or two hours computation time per day of=
data. Limit search requests when using the non-default options to one mont=
h at a time or use the dataProductDelivery Service to request small amounts of data as your c=
ode processes it.
File-name mode field
If the non-default options are selected, the file-name names will have "=
_plotRes" or '_fullRes" appended to them, for spectrogram resolution or ful=
l resolution respectively.
PNG/PDF (Hydrophone Spe=
ctrogram Plot)
Generally, this format is a spectrogram plot of 5 minutes of hydrophone/=
audio data. Here is an example PNG spectrogram taken =
from a hydrophone as Cascadia Basin:
Since spectrograms are stored for fast retrieval, users may see older ve=
rsions (such as the example above), which have different titles, logos, etc=
., however the data is the same. The colour scale is fixed to facilitate co=
mparisons between multiple spectrograms. Some spectrograms are calibrated w=
ith units of dB re 1 =CE=BCPa. Non-calibrated spectrogram have a colour sca=
le that is relative to the full range of the source audio file: the extreme=
values in the audio file are scaled from 0 to 1, so that the dB scale is f=
rom -120 dB (0.000001) to 0 dB (1). The spectrogram is generated by a modif=
ied Welch method: the data is windowed in time (Hann window 50% overlap) th=
e length of each window is equal to the length of the FFT and the power spe=
ctra of each windowed segment is then a column in spectrogram data matrix, =
the rows are the different frequencies. If calibrated, the calibration rang=
e and resolution sets the length of the FFT, while if not calibrated, the l=
ength is set by optimizing the trade-off between temporal and spectral reso=
lutions so that the spectrogram data matrix has an aspect ratio that's simi=
lar to that of the image file to be generated. Quite often, there are far m=
ore columns and rows in the spectrogram data matrix than there are pixels i=
n the image file. In that case, the spectrogram data matrix is downsampled =
by linear scale box car averaging in both time and frequency to closely mat=
ch the size of the image in pixels. This occurs after the spectrogram data =
is calculated, but prior to printing the data to the image file. Standard i=
mage renders would distort the logarithmic scale data with linear scale, an=
ti-alias low-pass filtering or averaging, or if not, they would alias the d=
ata by decimating it. (There are actually two rendering stages: at image fi=
le creation and when the file is printed or displayed on screen, so it is b=
est to view or print spectrograms with as many pixels as in the image file.=
) This downsampling only occurs for newer versions of the spectrogram data =
product. Newer versions also have a fixed relationship between time and pos=
ition on the plot (1 pixel is about 0.3 seconds): if less than 5 minutes of=
data is provided in the audio source file, the spectrogram will not be str=
etched to fill the x-axis, but instead the x-axis will be shorter than usua=
l. This will allow us to stitch together spectrograms in our data viewers (=
to be developed, prototype version exists). An exception to the fixed durat=
ion of spectrograms is when there is a varying duty cycle, i.e. where the d=
uration and sample rate of the source WAV files vary; for example: 60 secon=
ds at 128 kHz and 12 minutes at 16 kHz sample rate. The device attribute ' Spectrogram_ModeDurationDPO' is used to store the duty cycle =
parameters (duration and sample rate pairs) for use in data product generat=
ion. Currently, the deployments with varying duty cycle have only two sampl=
e rates: low and high. A data product option is offered for users to select=
all or one of the two acquisition modes.
N=
ote for internal users...
The SpectrogramDecimationFactor, L=
owPassCutoffFrequency, HighPassCutoffFrequency device attributes are non-NU=
LL for all icListen LF hydrophones. The SpectrogramDecimationFactor is prob=
ably misnamed, there is no decimation happening, instead, it increases the =
nFFT, which increases the number of frequency/y-axis bins (increasing spect=
ral resolution, while decreasing temporal resolution). LowPassCutoffFrequen=
cy, HighPassCutoffFrequency attributes are also somewhat misnamed, they are=
n't associated with actual filters, instead, when not null, they act to tri=
m off the low and high ends of the spectral data, reducing the range of the=
frequency/y-axis in the plot and in the spectral data MAT files.
Below is an example of the latest =
version of the spectrogram data product:
The PDF format contains multiple pages, with each =
page containing one spectrogram. We recommend this format when users would =
like to scroll through a large amount data looking for events such as whale=
calls. PDF spectrograms are not normally archived fo=
r fast retrieval, so they will be generated on the fly, which will take som=
e time. PDF spectrograms do have the advantage of hav=
ing higher resolution, approximately 300 dpi for landscape letter sized ima=
ge, while the PNG spectrograms are 1200 by 900 pixels.
Spectrograms can be produced from WAV files (describ=
ed above) or from FFT files (described below). Spectr=
ograms generated from FFT files have a fixed and gene=
rally lower resolution, but have the advantages of not being affected by mi=
litary diversion and have wider frequency range (WAV -sourc=
ed spectrograms maybe limited in frequency by their multi-point calibration=
). Here is an example of a spectrogram generated from an FFT file:
Daily or Weekly Collated=
Spectrograms
The spectrogram collation option allows users to group/collate spectral =
data into plots and data (MAT ) files. For plots, daily and=
weekly spectrograms are available, while the data files can be daily or un=
limited duration collations. Spectral data for daily plots and also data fi=
les are assembled into 1-minute box car averages (no overlap), accounting f=
or the logarithmic scale of the data. Spectral data for the weekly plots ar=
e assembled into 5-minute box car averages (no overlap), accounting for the=
logarithmic scale of the data. These plots are useful for daily and monthl=
y inspections of data and, as such, will appear on Data Preview. Here's an =
example where a passing ship can be seen in a daily plot:
Here is an example of a weekly plot:
Oceans 3.0 API filt=
er : extension=3D{png,pdf}
FFT (Hydrophone Spectro=
gram Data File)
The FFT format is an ASCII text file with a single=
column of data. It is intended for expert users, while other users may def=
er to the spectrogram PNG /PDF plots, whic=
h may be made from FFT files on user option or when <=
strong>WAV files (audio data) is not available (FFT&n=
bsp; files are available when audio data is diverted by the militar=
y). FFT files are only offered on icListen HF and AF hydro=
phones and often only for devices with low-bandwidth connections, such as t=
he hydrophone currently at Cambridge Bay (deviceID [instruments:23155]). Th=
e file consists of repeating sequences of 512 FFT spectral coefficients, sp=
anning five minutes. The current sampling rate is 256 kHz, with 4 FFTs per =
second, or 1200 in one file, with a frequency bin spacing of 250 Hz. U=
sing MATLAB, one can visualize it (i.e. make a spectrogram) quickly with th=
e following commands:
Please note the above stub of MATLAB code is an example only, with hard-co=
ded parameters.
Oceans 3.0 API filt=
er : extension=3Dfft
OC=
T (Hydrophone Spectrogram Data File - 1/3 Octave Bands)
The OCT format is an ASCII text file with a single=
column of data, very similar to the FFT format described =
above. Both FFT and OCT files represent s=
ound intensity in the frequency domain. It is intended for expert users, wh=
ile other users may defer to the spectrogram PNG /P=
DF plots. OCT files are only offered on spec=
ific JASCO / GeoSpectrum hydrophones. The file consists of repeating sequen=
ces of 55 1/3 octave band sound pressure levels in dB, with a single point =
calibration. The centre frequency of each 1/3 octave band is shown in the t=
able within the expander below. The files nominally span five minutes and v=
alues are reported once per second, so a five minute file should contain 16=
,500 entries. One can visualize the data in Matlab with code similar to the=
code presented above for FFT files, but with modifications for the 55 band=
s and their frequencies. If you are interested in viewing this data please =
contact us , we can help develop visualization and pe=
rhaps a data product.
C=
lick here to show the table of 55 1/3 octave back centre frequencies...
Index
1/3 Octave Centre Frequency (Hz)=
td>
1
1
2
1.3
3
1.6
4
2
5
2.5
6
3.1
7
4
8
5
9
6.3
10
8
11
10
12
13
13
16
14
20
15
25
16
31
17
40
18
50
19
63
20
80
21
100
22
125
23
160
24
200
25
250
26
315
27
400
28
500
29
630
30
800
31
1000
32
1250
33
1600
34
2000
35
2500
36
3150
37
4000
38
5000
39
6300
40
8000
41
10000
42
12500
43
16000
44
20000
45
25000
46
31500
47
40000
48
50000
49
63000
50
80000
51
100000
52
125000
53
160000
54
200000
55
250000
Oceans 3.0 API filt=
er : extension=3Doct
MAT (Hydrophone Spectral D=
ata File)
The MAT file format is based on the same data used to c=
reate the spectrograms. By default, it contains spectral data that is resam=
pled to one-minute average ensembles (the data is converted from dB to line=
ar, averaged, converted back to dB, the frequency bins may also be downsamp=
led so that the maximum number of bins is less than 2400). The one-minute a=
verage ensembles are used as source data for spe=
ctral probability density plots . These files are pre-processed and=
stored for fast retrieval. If pre-processed MAT file=
s do not exist in the archive, then they are created on the fly, which is m=
uch slower. On retrieval or on-the-fly generation, there is one small, ~150=
kB, MAT file per wave or hyd source audio file. For =
ease of use, the multiple small MAT files are then co=
ncatenated, with the concatenated MAT files breaking =
on configuration change (exceedingly rare) or on a size limit of approximat=
ely 1 GB in memory. The concatenation process applies a weighted average of=
ensemble periods that overlap between the small MAT =
files, accounting for count and conversion to linear scale and back to dB.<=
/p>
To directly access the data plotted in the spectrogram images, users may=
choose the "Spectrogram resolution" option noted in the Spectral Data Downsampling option=
, or the full resolution spectral data, the parameters of which are set by =
the calibration and hydrophone sample rate. The spectrograms are downsample=
d to match in the available pixels on the image - downsampling in this way =
is preferable to allowing the image plotting/rendering stage to do as our d=
ownsampling converts dB data to pressure/linear units, downsampling and the=
n converts back (same as done for the one-minute ensembles). These =
MAT files are not stored so they take some time to generate and ar=
e not available to concatenate (one MAT file per spectrogram / source audio=
file), but they do have the same format as the one-minute average =
MAT files.
Hydrophone spectral data MAT files contain two str=
uctures, the nominal complex data metadata structure Meta &=
nbsp;and the data: SpectData
Meta: a structure array containing the following metada=
ta fields:
deviceID: A unique identifier to represent the instrument within the Oc=
ean Networks Canada data management and archiving system.
creationDate:Date and time (using ISO8601 format) that the data product=
was produced. This is a valuable indicator for comparing to other revision=
s of the same data product.
deviceName: A name given to the instrument.
deviceCode: A unique string for the instrument which is used to generat=
e data product filenames.
deviceCategory: Device category to list under data search ('Echosounder=
').
deviceCategoryCode: Code representing the device category. Used for acc=
essing webservices, as described here: API / webservice documentation (log in to see this link).
lat: Fixed value obtained at time of deployment. Will be NaN if mobile =
or if both site latitude and device offset are null. If mobile, sensor info=
rmation will be available in mobilePositionSensor structure..
lon: Fixed value obtained at time of deployment. Will be NaN if mo=
bile or if both site longitude and device offset are null. If mobile, senso=
r information will be available in mobilePositionSensor structure.
depth: Fixed value obtained at time of deployment. Will be NaN if =
mobile or if both site depth and device offset are null. If mobile, sensor =
information will be available in mobilePositionSensor structure.
deviceHeading: Fixed value obtained at time of deployment. Will be NaN =
if mobile or if both site heading and device offset are null. If mobile, se=
nsor information will be available in mobilePositionSensor structure.
devicePitch: Fixed value obtained at time of deployment. Will be NaN if=
mobile or if both site pitch and device offset are null. If mobile, s=
ensor information will be available in mobilePositionSensor structure.
deviceRoll: Fixed value obtained at time of deployment. Will be NaN if =
mobile or if both site roll and device offset are null. If mobile, sen=
sor information will be available in mobilePositionSensor structure.
siteName: Name corresponding to its latitude, longitude, depth position=
.
locationName: The node of the Ocean Networks Canada observatory. E=
ach location contains many sites.
stationCode: Code representing the station or site. Used for accessing =
webservices, as described here: API=
/ webservice documentation (log in to see this link).
dataQualityComments: In some cases, there are particular quality-relate=
d issues that are mentioned here.
MobilePositionSensor: A structure with information about sensors that p=
rovide additional scalar data on positioning and attitude (latitude, longit=
idue, depth below sea surface, heading, pitch, yaw, etc).
name: A cell array of sensor names for mobile position sensors. If not =
a mobile device, this will be an empty cell string.
sensorID: An array of unique identifiers of sensors that provide positi=
on data for mobile devices - this data may be used in this data product.
deviceID: An array of unique identifiers of devices that provide positi=
on data for mobile devices - this data may be used in this data product.
dateFrom: An array of datenums denoting the range of applicability of e=
ach mobile position sensor - this data may be used in this data product.
dateTo: An array of datenums denoting the range of applicability of eac=
h mobile position sensor - this data may be used in this data product.
typeName: A cell array of sensor names for mobile position sensors. If =
not a mobile device, this will be an empty cell string. One of: Latitude, L=
ongitude, Depth, COMPASS_SENSOR, Pitch, Roll.
offset: An array of offsets between the mobile position sensors' values=
and the position of the device (for instance, if cabled profiler has a dep=
th sensor that is 1.2 m above the device, the offset will be -1.2m).
sensorTypeID: An array of unique identifiers for the sensor type.=
correctedSensorID: An array of unique identifiers of sensors that=
provide corrected mobile positioning data. This is generally used for prof=
iling deployments where the latency is corrected for: CTD casts primarily.<=
/span>
deploymentDateFrom: The date of the deployment on which the data was ac=
quired.
deploymentDateTo: The date of the end of the deployment on which the da=
ta was acquired (will be NaN if still deployed).
samplingPeriod: Sample period / data rating of the device in seconds, t=
his is the sample period that controls the polling or reporting rate of the=
device (some parsed scalar sensors may report faster, some devices report =
in bursts) (may be omitted for some data products).
samplingPeriodDateFrom: matlab datenum of t=
he start of the corresponding sample period (may be omitted for some data p=
roducts).
samplingPeriodDateTo: matlab datenum of the end of the corresponding sa=
mple period (may be omitted for some data products).
sampleSize: the number of readings per sample period, normally 1, excep=
t for instruments that report in bursts. Will be zero for intermittent devi=
ces (may be omitted for some data products).
SamplePeriodSensor: A structure array with an entry for each scalar sen=
sor on the device (even though this metadata is for complex data products t=
hat don't use scalar sensors).
sp: sample period in seconds (array), unless sensorid is NaN then this =
is the device sample period
dateFrom: array of date from / start date (inclusive) for each sample p=
eriod in MATLAB datenum format.
dateTo: array of date to / end date (exclusive) for each sample period =
in MATLAB datenum format.
sampleSize: the number of readings per sample period (array). Normally =
1, except for instruments that report in bursts. Will be zero for intermitt=
ent devices.
deviceID: array of unique identifiers of devices (should all be th=
e same).
sensorID: array of unique identifiers of sensors on this device.=
li>
isDeviceLevel: flag (logical) that indicates, when true or 1, if the co=
rresponding sample period/size is from the device-level information (i.e. a=
pplies to all sensors and the device driver's poll rate).
sensorName: the name of the sensor for which the sample period/size app=
lies (much more user friendly than a sensorID).
citation: a char array containing the DOI citation text as it appears o=
n the Dataset Landing Pag=
e . The citation text is form=
atted as follows: <Author(s) in alphabetical order>. <Publication =
Year>. <Title, consisting of Location Name (from searchTreeNodeName o=
r siteName in ONC database) Deployed <Deployment Date (sitedevicedatefro=
m in ONC database)>. <Repository>. <Persistent Identifier, whic=
h is either a DOI URL or the queryPID (search_dtlid in ONC database) >. Accessed Date <query creation date (sea=
rch.datecreated in ONC database)>
Attribution: A structure array with information on any contributors, or=
dered by importance and date. If an organization has more than one rol=
e it will be collated. If there are gaps in the date ranges, they are fille=
d in with the default Ocean Networks Canada citation. If the "Attribution Required?" field is set to "No" on the=
Network Console then the citation will not appear. Here are the fields:<=
img class=3D"confluence-embedded-image confluence-content-image-border" dra=
ggable=3D"false" src=3D"9a03d508026c5153a7bcdc2740675494" data-image-src=3D=
"/download/attachments/42175743/image2022-3-4_16-35-23.png?version=3D1&=
modificationDate=3D1646440526000&api=3Dv2" data-unresolved-comment-coun=
t=3D"0" data-linked-resource-id=3D"104924041" data-linked-resource-version=
=3D"1" data-linked-resource-type=3D"attachment" data-linked-resource-defaul=
t-alias=3D"image2022-3-4_16-35-23.png" data-base-url=3D"https://wiki.oceann=
etworks.ca" data-linked-resource-content-type=3D"image/png" data-linked-res=
ource-container-id=3D"42175743" data-linked-resource-container-version=3D"3=
2" alt=3D"" width=3D"468" height=3D"116">
acknowledgement: the acknowledgement text, usually formatted as "<or=
ganizationName> (<organizationRole>)", except for when there are n=
o attributions and the default is used (as shown above).
startDate: datenum format
endDate: datenum format
organizationName
organizationRole: comma separated list of roles
roleComment: primarily for internal use, usually used to reference rele=
vant parts of the data agreement (may not appear)
SpectData : structure containing hydrophone spectral dat=
a in the following fields:
time: vector, timestamp in datenum format.
frequency: vector of frequency bin centres in Hz.
PSD: matrix of the power spectral densities of dimensions: (frequency, =
time). This will always be one-minute box-car/ensemble linear average data.=
countPSD: vector, same length as time. Contains the number of original =
spectra that contributed to the corresponding one-minute linear average.
processingComment: string containing a description of the processing st=
eps, including resolutions and calibration information.
isCalibrated: logical, flag to indicate of the data is calibrated (1 is=
true, 0 is false, as per matlab logical type).
Oceans 3.0 API filt=
er : extension=3Dmat
Discussion
To comment on this product, log in and click _Write a comment..._ below.=
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