The dataset contains data that were collected on 2 sets of 8 French red wines from two grape varieties, Pinot Noir (PN) and Cabernet Franc (CF). It provides, for the 16 wines, (i) sensory descriptive data obtained with a trained panel, (ii) volatile organic compounds (VOC) quantification data obtained by Gas Chromatography–Mass Spectrometry (GC-MS) and (iii) odorant composition obtained by Gas Chromatography–Mass Spectrometry–Olfactometry (GC-MS-O). The dataset is a Microsoft Excel Worksheet containing 8 sheets. - Sheet 1: Information Gives information about the sheets contained in this .xlsx file - Sheet 2: Experimental_factors Each row represents a wine Each column corresponds to an experimental factors of the wines (Grape variety, Vintage and Protected Designation of Origin) - Sheet 3: List_sensory_descriptors Lists the 33 sensory descriptors used for the sensory descriptive analysis of the wines - Sheet 4: Sensory_descriptive_analysis Each row represents a wine Each column corresponds to a condition (2640 columns) Senso_(ortho or retro)_(Panelist1 to Panelist 16)_(1 to 33 Sensory descriptors)_(1 to 3 repetitions for ortho and 1 to 2 repetitions for retro) For the ortho (orthonasal) measurements, there is 16 panelists, 33 sensory descriptors and 3 repetitions = 1584 columns For the retro (retronasal) measurements, there is 16 panelists, 33 sensory descriptors and 2 repetitions = 1056 columns Each cell contains a sensory measurement for the corresponding condition in the corresponding wine - Sheet 5: List_VOC Lists the 45 VOC quantified in the wines with their corresponding CAS number VOC: Volatil Organic Compounds - Sheet 6: VOC_quantification Each row represents a wine Each column corresponds to a VOC (45 columns) Each cell contains the quantification of the corresponding VOC in the corresponding wine - Sheet 7: List_GC-MS-O Lists the 49 odor-active compounds identified with their corresponding CAS number and the 34 compounds identified by their apex indice - Sheet 8: GC-MS-O Each row represents a wine Each column corresponds to an odor-active compound identified by its CAS number or by its Apex indice if the compound was not identify (81 odor-active compounds) + the number of judges who smelled the compound and its description (by 8 judges) = 9 columns per odor-active compound for a total of 729 columns

These data were collected as part of the INNOVAROMA research program on wine, which was conducted with financial support from the regional councils of Pays de la Loire , Centre, Bretagne, and Bourgogne (DINOS-AGRALE-12-2011, DINOS-AGRALE-12-2012, PARI-DINOS-2013).