Specifications Table

Subject area	Biology
More specific subject area	Proteomics
Type of data	Text files, Excel file, Python scripts, and Kappa model
How data was acquired	103 profiles were selected from a previously published dataset of 37,000 profiles acquired via SILAC mass-spectrometry. The model data and the kinase assignments were derived by surveying the literature.
Data format	Comma separated value file; tab separated text files; python script; kappa model; excel file.
Experimental factors	Causative kinases for the observed phosphorylations were gathered through literature survey.
Experimental features	103 phosphoproteomics profiles were converted into multiple formats for use with multiple tools. The 103 profiles are derived from a much larger dataset by Humphreyet al.2013 who measured phosphorylation changes in response to insulin stimulation at 9 time points.
Data source location	Garvan Institute of Medical Research, Sydney Australia
Data accessibility	Data are provided with this article as supplementary material, and can also be found in a github repository at:https://github.com/ODonoghueLab/PhosToolInputs
Related research article	Kaur S, Baldi B, Vuong J and O'Donoghue SI. Visualization and Analysis of Epiproteome Dynamics. Journal of molecular biology 2019. doi: https://doi.org/10.1016/j.jmb.2019.01.044[1].