Updated project metadata. Treatments for kidney fibrosis represent an urgent yet unmet clinical need. Effective therapies are limited due to not well understood molecular pathogenesis. We aimed at generating a comprehensive and integrated multi-omics data set (RNA/ microRNA transcriptomics and proteomics) of fibrotic kidneys which will be searchable through a user-friendly web application. Therefore, two commonly used mouse models were utilized: a reversible chemical-induced injury model (folic acid (FA) induced nephropathy) and an irreversible surgical-induced fibrosis model (unilateral ureteral obstruction (UUO)). RNA and small RNA sequencing as well as MS/MS with 10-plex tandem mass tags proteomics were performed with kidney samples from different time points over the course of fibrosis development. In summary, we present temporal and integrated multi-omics data from fibrotic mouse kidneys which are accessible through an interrogation tool to provide a searchable transcriptome and proteome for kidney fibrosis researcher.