The dataset is divided into two parts, the unburned dataset and the burned dataset. They are both generated by an e-nose. This e-nose consists of 15 sensors and they are AS-MLV-P2, CCS801, TGS8100, MI
Figure A1: Fluorescence (excitation at 405 nm) observations of phytoliths in re-burned cyclone ash from Miscanthus sinensis combustion using a Zeiss LSM 510 confocal microscope. (a) Images of the vari
Bottom ash from a furnace. Further information may become available later. Imaged for EIT RM ADMA project. To get this dataset, please contact fairdata-pas@gtk.fi. Preview dataset found at https://doi
This data set contains raw GC-MS data files of neat ignitable liquids, substrates, and simulated fire debris samples. All samples were analyzed by conventional GC-MS and rapid GC-MS, a fast chromatogr