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The following table highlights key web services for either searching data within IRIS or for handy tools for studying earthquakes or time series data. More detailed information can be found at the IRIS Web Service link above.

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Ocean Networks Canada Instruments - NV Network

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ONC currently has 14 different stations streaming to IRIS from distributed locations across the Cascadia Subduction Zone within the NV network off the west coast of Vancouver Island, British Columbia. The screenshot below was taken from IRIS's interactive map tool for the network which can be found here: Interactive Map Tool.

Station Descriptions

Station Channel Naming Description

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Channel codes are denoted by three characters that describes the sensor type, the frequency range, and the orientation following the SEED channel definitions (full manual found here: SEED Appendix). Refer to the Channel Descriptor web service link mentioned above to get a full definition on what the sensor type and frequency range portions of the channel code mean. Orientation codes in the NV network can be described as follows:

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Retrieving Data from IRIS - Web Service Links

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Convert to .MAT File for MATLAB

• The following commands will convert a Stream object defined above into a .mat file for MATLAB. To begin, import a new method in Python that allows to save to .mat format. This is called with the following and the documentation is here: https://docs.scipy.org/doc/scipy/reference/tutorial/io.html

import scipy.io as sio

• Next, find the waveform data to save into the file based on the Stream object

sio.savemat('MatlabTester_ENHR2.mat', {station1[0].stats.channel : station1[0].data,

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 station1[1].stats.channel : station1[1].data,

                                                                      station1[2].stats.channel : station1[2].data})

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sio.savemat(‘[NameOfFile].mat’, {dictionary of station data})

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• Basic breakdown of this function:

sio.savemat(‘[NameOfFile].mat’, {dictionary of station data})

• A Python dictionary is declared with the curly brackets and has 2 parts: the name of the data array, and the data array itself; both separated by a colon. So the call would be {‘name’:[data]}.
• When there are multiple channels/traces in the stream, they are saved in multiple parameter calls, that is why there are 3 different lines. The station[0].stats.channel finds the channel name for the [0] trace in the station1 Stream object, while the station1[0].data assigns the corresponding data.

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• This can be done for as many channels

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• as are saved in the Stream object. You can normally click through the object in the variable explorer in Spyder to see how many there are to add to the dictionary list.
• The result of all this will be a .mat file with one variable per channel named for the value found

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• in station1[#].stats.channel

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