Dataset on the characterization of the flavor of two red wine varieties using sensory descriptive analysis, volatile organic compounds quantitative analysis by GC-MS and odorant composition by GC-MS-O

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本数据集涵盖来自两个葡萄品种（黑皮诺（Pinot Noir，PN）与品丽珠（Cabernet Franc，CF））的2组各8款法国红葡萄酒的采集数据，总计16款葡萄酒。针对这16款葡萄酒，数据集提供三类核心数据：(i) 经专业培训的感官评审小组获取的感官描述数据；(ii) 气相色谱-质谱联用（Gas Chromatography–Mass Spectrometry，GC-MS）检测得到的挥发性有机化合物（Volatile Organic Compounds，VOC）定量数据；(iii) 气相色谱-质谱-嗅觉联用（Gas Chromatography–Mass Spectrometry–Olfactometry，GC-MS-O）分析得到的气味活性成分组成数据。 本数据集为Microsoft Excel工作表，内含8个工作表： 工作表1：Information：用于说明本.xlsx文件所包含的各工作表信息。 工作表2：Experimental_factors：每行代表一款葡萄酒，每列对应葡萄酒的一项实验因素（葡萄品种、年份与原产地保护标识）。 工作表3：List_sensory_descriptors：列出用于该葡萄酒感官描述分析的33项感官描述词。 工作表4：Sensory_descriptive_analysis：每行代表一款葡萄酒，每列对应一项检测条件（共2640列），列名格式为Senso_(ortho或retro)_(评审员1至16)_(1至33项感官描述词)_(正位与返位检测的重复次数编号：正位检测含3次重复，返位检测含2次重复)。其中正位（鼻前嗅觉）检测包含16名评审员、33项感官描述词、3次重复，共计1584列；返位（鼻后嗅觉）检测包含16名评审员、33项感官描述词、2次重复，共计1056列。每个单元格存储对应葡萄酒在对应检测条件下的感官测量值。 工作表5：List_VOC：列出本次检测中定量分析的45项挥发性有机化合物及其对应的CAS编号（注：VOC为Volatile Organic Compounds的缩写，原文存在笔误，将Volatile写为Volatil）。 工作表6：VOC_quantification：每行代表一款葡萄酒，每列对应一项挥发性有机化合物（共45列），每个单元格存储对应葡萄酒中该挥发性有机化合物的定量结果。 工作表7：List_GC-MS-O：列出经鉴定的49项气味活性化合物及其对应的CAS编号，以及34项未明确鉴定、仅通过峰指数标识的化合物。 工作表8：GC-MS-O：每行代表一款葡萄酒，每列对应一项经CAS编号或峰指数（未明确鉴定的化合物）标识的气味活性化合物（共81项气味活性化合物）。每类气味活性化合物对应9列数据，分别为嗅闻到该化合物的评审员人数及8名评审员的气味描述信息，总计729列。