Welcome to the beginning tutorials section! On behalf of the team behind the biologging tools project, thanks for taking some time to get to know this package. We hope it is useful to you.
These practicals all assume that you have MATLAB, some basic experience working with it, and can execute provided code, making some user-specific changes along the way (e.g. to help MATLAB find a file you downloaded). We will provide you with quite a few lines. Additionally, be careful when copy-pasting special characters such as underscores and ‘quotes’. If you get an error, one thing to check is that you have just a single, simple underscore, and ‘straight quotes’, whether ‘single’ or “double” (rather than “smart quotes”).
In this vignette, you will learn how to estimate the dominant stride, flap or fluke stroke frequency using the
dsf function, for a time interval focused on propulsion.
In this vignette you will learn how to check depth data and correct it using the functions
fix_offset_pressure. You will also learn how to remove off-animal tag data.
In this vignette you will learn to use
ocdr to gain insight about how to estimate vertical and forward speed respectively.
In this vignette you will learn how to estimate 3D dive or flight paths by updating the estimated position of the animal using estimates of its current speed and direction of travel using
In this vignette you will learn how to identify and to remove high frequency noise due to tag vibration using a low pass-filter.
In this vignette you will learn how to use the function
find_dives to gain insight about a depth profile, calculate the mean dive/flight duration and mean dive/flight depth/attitude.
In this vignette you will learn how to estimate jerk using
njerk to identify prey capture attempts.
In this vignette you will learn how to convert existing
.mat file tag data matrices into NetDCF files sensor structures, so as to provide a standard sensor data archive and exchange format that is independent of tag type and software platform.
Working with sound
In this vignette you will learn how to unpack, post-process, and analyze audio data collected by microphones and hydrophones.