This archive contains instances of Boolean networks (in BoolNet format) generated from scale-free random network structure, on which has been applied the inhibitor-dominant rule to devise the logical functions. The generated networks range from 1,000 to 100,000 nodes, with in-degrees ranging up to 1400. Contents: Analysis.ipynb: in/out-degree scatter plots of the generated networks Generation.ipynb: notebook used to generate the networks (requirs colomoto_jupyter python module) random-{N}-{id}.bnet: generated Boolean networks with N components