Models and raw datasets required for reproducing the results of the manuscript The effects of model complexity and size on metabolic flux distribution and control. Case study in Escherichia coli. by Hameri et al. Models: Three thermodynamically curated models of E.coli metabolism of increasing size - namely D1, D2 and D3 - are provided in MATLAB format .mat files: D1: D1_FDP1.mat D2: D2_FDP1.mat D3: D3_FDP1.mat Datasets: Configuration MATLAB .mat files that were used to generate the control coefficient (Metabolic Control Analysis) for D1, D2 and D3. Also, the steady-state metabolic flux and concentration vectors are provided. D1: metSampDataD1_FDP1.mat D2: metSampDataD2_FDP1.mat D3: metSampDataD3_FDP1.mat The populations of 50’000 control coefficients for D1, D2 and D3 are provided for each model in five separate subsets/batches of 10’000 control coefficients. Each model X has 50 files YY of 1’000 control coefficients DataDX_FDP1YY, where X is the model ranging from 1-3 and YY is the file number ranging 1-50. D1: Supplementary dataset 1: https://doi.org/10.5281/zenodo.4585663 Supplementary dataset 2: https://doi.org/10.5281/zenodo.4585702 Supplementary dataset 3: https://doi.org/10.5281/zenodo.4585719 Supplementary dataset 4: https://doi.org/10.5281/zenodo.4585739 Supplementary dataset 5: https://doi.org/10.5281/zenodo.4585865 D2: Supplementary dataset 6: https://doi.org/10.5281/zenodo.4585932 Supplementary dataset 7: https://doi.org/10.5281/zenodo.4585995 Supplementary dataset 8: https://doi.org/10.5281/zenodo.4586074 Supplementary dataset 9: https://doi.org/10.5281/zenodo.4586286 Supplementary dataset 10: https://doi.org/10.5281/zenodo.4586380 D3: Supplementary dataset 11: https://doi.org/10.5281/zenodo.4586482 Supplementary dataset 12: https://doi.org/10.5281/zenodo.4586597 Supplementary dataset 13: https://doi.org/10.5281/zenodo.4586660 Supplementary dataset 14: https://doi.org/10.5281/zenodo.4586732 Supplementary dataset 15: https://doi.org/10.5281/zenodo.4586767

This work was supported by funding from the Ecole Polytechnique Fédérale de Lausanne (EPFL), the 2015/313 ERASysAPP RobustYeast Project funded through SystemsX.ch, the Swiss Initiative for Systems Biology evaluated by the Swiss National Science Foundation, and the Swiss National Science Foundation grant 315230_163423. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.