Here is an example of seafloor data and its cleaning using the python tiskitpy code

tiskitpy

tiskitpy is documented at tiskitpy.readthedocs.io, including how to install, examples and a complete description of each component class.

Installing

Installation instructions are found in the documentation.
If anything does not work for you, please tell Wayne or, better yet, leave an issue.

Files to download

The script requires tiskitpy 0.3 or higher

Run the script using python3 run_data_cleaner.py When you run it for the first time, CleanRotator will download an earthquake catalog to your directory.

• run_data_cleaner.py
• Data File: contains one day of data from a seafloor broadband OBS
• Metadata File: contains an inventory of the station and the channel responses.

Images of results

run_data_cleaner.py should plot the orginal power spectral densities for the four channels, then the following image, which compares the PSDs obtained from:

• The original data
• The original data plus simple rotation (CleanRotator class)
• The original data, cleaned using the DataCleaner class and a time-domain stream-cleaning method
• The rotated data, cleaned using the DataCleaner class and a time-domain stream-cleaning method
• The original data, cleaned using the DataCleaner class and a frequency-domain stream-cleaning method
• The rotated data, cleaned using the DataCleaner class and a frequency-domain stream-cleaning method
• The rotated data, with the PSD calculated taking into account the DataCleaner