The dataset is the raw and partially analyzed urinary mutagenicity data, which were generated by US EPA scientists at the US EPA/RTP. The data consist of the number of mutant colonies (revertants) per petri plate at each dose of the organic extract of the urine. These are accompanied by the positive and negative controls. In addition, the data from each experiment have been partially analyzed by performing a linear regression of the data to generate a slope value (revertants/ml-equivalents of urine) as well as an r-squared value, which is a measure of how linear the line is (i.e., how close to a straight line the data are). This dataset is associated with the following publication: Adetona, A., W.K. Martin, S. Warren, N. Hanley, O. Adetona, J.(. Zhang, C. Simpson, M. Paulsen, S. Rathbun, J. Wang, D. DeMarini, and L. Naeher. Urinary Mutagenicity as a Biomarker of Occupational Smoke Exposures of Wildland Firefighters Performing Prescribed Burns. INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 31(2): 73-87, (2019).