Oceanscout WISPR 6
Offload data
- Glider techs: open glider and remove two micro SD cards from WISPR board
- These cards are numbered/ordered to be sure to replace them in the right order (From left to right when looking at the SD slots - Card 1, Card 2, power port)
- Plug cards into computer and copy raw .dat files to a hard drive
- Pass hard drive off to PAM analyst
Decompress data and convert to usable audio file format
- PAM analyst: use agate convert WISPR workflow script to convert from .dat to .flac
- Download workflow_convertWISPR.m and the example Hefring configuration file
- Open configuration file with text editor and replace “% %%% HEFRING WISPR EXAMPLE %%%” with the glider deployment ID
- i.e. “% %%% stenella-20250414 %%%”
- Add the glider serial number to the ’CONFIG.glider = ‘ argument
- i.e. “CONFIG.glider = ‘stenella’;”
- Add the path to the raw .dat files and path to converted flac files in the last two lines of the configuration file
- Save as ‘agate_config_DeploymentID.cnf’ to the input data directory
- If you do not have agate downloaded already, clone the agate repository
- Open the convert matlab script and set the path to the agate folder on line 36
- Set the path to the configuration file on line 42
- Run the script, processing should begin. You should see progress updates in the command window and flac files in the output directory you set in the config file
- If .wav files are needed, use the flac2wav.m matlab script
Create full bandwidth LTSA
Open Triton in MATLAB by typing ‘triton’ into command window. Ensure you are using a version of Triton that supports FLAC files
In the control window, click on Tools -> Make LTSA from Directory of Files
Enter 3 for flac
Navigate to your directory of flac files and click ‘Select Folder’
Use 5 seconds and 200 Hz settings, press ok, save LTSA as DeploymentID_SamplingRate_5s_200Hz.ltsa (ex. sg639_Sep2024_200kHz_5s_200Hz.ltsa)
Update Deployment Tracker Spreadsheet
- Open Glider Deployment Tracker Spreadsheet and ensure all fields have been completed
- Use the full bandwidth LTSA to mark the data start and end (or use file timestamps) and assess overall data quality
- Calculate the deployment duration, distance, and recording duration and fill in the associated columns