This archive contains example data associated with the Inferelator python package. Included is yeast microarray gene expression data initially used in Tchourine et al (2018). Condition-Specific Modeling of Biophysical Parameters Advances Inference of Regulatory Networks (Cell Reports 23, 376–388). Also included is yeast single-cell gene expression data initially used in Jackson & Castro et al (2019). Gene regulatory network reconstruction using single-cell RNA sequencing of barcoded genotypes in diverse environments (BioRxiv 581678). Also included is bacillus microarray gene expression data initially used in Arrieta‐Ortiz et al (2015). An experimentally supported model of the Bacillus subtilis global transcriptional regulatory network (Molecular Systems Biology 11, 839). This archive also contains example scripts for basic network inference on all three of these data sets.