Installation Download the *.mltbx file of this record and execute it in Matlab to install the toolbox. This is a guided process that ends up opening the Getting-Started-Guide with additional resources. Required Add-Ons Statistics and Machine Learning Toolbox is required to calculate exponential CDOM slopes. Such fits are used to to calculate the long wavelength range CDOM slope and to extrapolate CDOM absorbance data in cases where the measured fluorescence emission exceeds the coverage of absorbance data. If you don't require these features, drEEM will run fine without the toolbox. Recommended Add-Ons Parallel Processing Toolbox (optional) to benefit from multi-core CPUs when fitting PARAFAC models. PLS_toolbox (optional) to use the latest PARAFAC algorithms. However, this requires PLS_toolbox to be purchased and installed. This toolbox is by no means required since drEEM ships with the free N-Way toolbox. Getting started After installation, a guide to get you started will be displayed. drEEM is based on object-oriented programming, so you call methods (functions) by refering to a toolbox object. You get started by initializing the toolbox: tbx=drEEMtoolbox; tbx.importwizard % This would open the data import GUI tbx.doc("drEEM") % This code accesses the main documentation To see which methods are available, type `tbx.` followed by hitting the TAB key to get a list of method suggestions. For orientation, method names generally refer to an action and an object, e.g. importeems, fitparafac, subtractblanks, splitdataset, etc. Type tbx.doc("drEEM") to see the documentation (highly recommended). Tutorial videos by the drEEM team Additional external resources within drEEM ships with several functions provided by external sources: N-Way toolbox by Rasmus Bro inpaint_nans by John D'Errico crameri colormaps by Fabio Crameri & Chad Greene Please respect the licenses of these resources when redistributing this software.

drEEM aids the import, processing, and analysis of ultraviolet-visible absorbance and fluorescence spectra. Particular focus is on FAIR data policies. The toolbox is particularly useful for the chemometric analysis of excitation-emission matrices (EEMs) of dissolved organic matter (DOM). Spectral properties of chromophoric DOM can also be determined easily.

This software actively maintained and regularly updated. Email the project leader urban.wunsch@chalmers.se with suggestions, comments, or bug reports.