Introduction

RSKtools is the official MATLAB toolbox from RBR for reading, post-processing, visualising, and exporting data stored in the RSK format produced by RBR loggers.

The RSK format that all Logger2 and Logger3 instruments (RBR solo, RBR virtuoso, RBR duo, RBR concerto, RBR maestro, etc.) generate is not just another proprietary file format. Rather, it is a widely-used single file database called SQLite that allows for very large files with high-speed access to any part of the dataset. As a result, you can read RSKs from any programming language that supports SQLite. All you need to know is the schema of our table structure.

RSKtools uses a MATLAB structure (RSK) as its primary data container. Upon opening an RSK file with RSKopen(), the structure is populated with metadata. Data can then be loaded with RSKreaddata() or RSKreadprofiles(), processed with functions such as RSKsmooth(), RSKalignchannel(), and RSKbinaverage(), visualised with RSKplotdata() and RSKplotprofiles(), and exported with RSK2CSV() or RSK2RSK().

All optional input arguments use MATLAB’s name-value pair convention, making the functions customisable and flexible.

To learn how to install RSKtools, please see the installation page. You may then wish to refer to our getting started guide for usage information. A sample.rsk file is available for testing.