Hazelnut triacylglycerol fingerprints obtained by concatenating GC-MS Extracted Ion Chromatograms

Dataset containing GC-MS raw analytical data (extracted ion chromatograms, not aligned) obtained and used by Torres-Cobos et al., (2024). Data correspond to the triacylglycerol fingerprint of 309 authentic and traceable hazelnut samples from various geographical origins and cultivars obtained in the framework of the TRACENUTS, PID2020-117701RB100. Briefly, data correspond to GC-MS scan intensities at each retention time from 1.6 to 38.6 min of the Extracte Ion Chromatograms of 16 triacylglycerol fragment ions: m/z 81, 107, 237, 239, 260, 262, 264, 265, 295, 311, 313, 323, 335, 337 and 339 (raw data, not baseline corrected, not normalized and not aligned). These data were aligned and used under a fingerprinting approach by Torres-Cobos et al.,. to develop classification model (PLS-DA approach) to verify the geographical origin and cultivar of hazelnuts.