This dataset represents thermoluminescence (TL) data that was obtained after a series of experiments to investigate how TL techniques can indicate the depth of soil heating. This project was attempted to ultimately predict changes in erosion properties in burned areas subject to debris flow hazards. The soil samples were obtained from an area burned by the Silverado wildfire (September 12 to 20, 2014). The dataset includes 3 soil samples and 1 control sample. The three burned soil samples were obtained throughout the burned watershed, and the control sample was taken in an unburned area. These will be referred to as sample 3, sample 7, sample 10, and control 1. All soil was obtained on April 23, 2015. The sample cores were slotted into 2-cm partitions up to a maximum depth of 14 cm in order to allow laboratory subsampling of the core in depth increments. For each sample, the tube had 7 subsections and we extracted at least 4 replicates for each subsection. For example, Sample 10-1a is the first replicate for the first subsample, and 10-1b is the second replicate for the first subsample. Using the silt fraction in each of the seven 2-cm segments, we performed several laboratory experiments. The files attached are thermoluminescence data from the Risø TL/OSL Reader (model TL/OSL–DA–20). Each file has 3 columns, where column 1 represents an ID, column 2 represents a heat applied by the TL/OSL Reader, and column 3 represents the TL counts. The file names connote the sample, soil depth, subsample, and irradiation (yes/no) using the following naming convention: SampleNumber-Depth_Temperature(IRRADIATED if the sample was irradiated)SubsampleLetter.txt.