Machine learning data and models for the study of IJP deposition of REBCO films

The dataset contains a collection of different parameters concerning inkjet printing deposition (voltage, pulse length, drop volume, drop and line spacing, nº of drops and total volume deposited) for 231 samples that were used to build machine learning for the variables Nº of Drops and Total Volume Deposited, perform predictions, as well as analyze the influence of the other variables on the model results.