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Combinatorial experiments involve synthesis of sample libraries with lateralcomposition gradients requiring spatially-resolved characterization ofstructure and properties. Due to maturation of combinatorial methods and theirsuccessful application in many fields, the modern combinatorial laboratoryproduces diverse and complex data sets requiring advanced analysis andvisualization techniques. In order to utilize these large data sets to uncovernew knowledge, the combinatorial scientist must engage in data science. Fordata science tasks, most laboratories adopt common-purpose data management andvisualization software. However, processing and cross-correlating data fromvarious measurement tools is no small task for such generic programs. Here wedescribe COMBIgor, a purpose-built open-source software package written in thecommercial Igor Pro environment, designed to offer a systematic approach toloading, storing, processing, and visualizing combinatorial data sets. Itincludes (1) methods for loading and storing data sets from combinatoriallibraries, (2) routines for streamlined data processing, and (3) data analysisand visualization features to construct figures. Most importantly, COMBIgor isdesigned to be easily customized by a laboratory, group, or individual in orderto integrate additional instruments and data-processing algorithms. Utilizingthe capabilities of COMBIgor can significantly reduce the burden of datamanagement on the combinatorial scientist.

COMBIgor: data analysis package for combinatorial materials science