Kiwifruit NIR

Near-infrared spectra of kiwifruit with destructive measures of dry matter and soluble solids. Covariance matrices of changes in spectra due to devices based on previous data. These are used to augment the spectra and reproduce the results in Wohlers, M., McGlone, A., Frank, E., &amp; Holmes, G. (2023). Augmenting NIR Spectra in deep regression to improve calibration. <i>Chemometrics and Intelligent Laboratory Systems</i>, <i>240</i>, 104924. Example code can be found at https://github.com/mwohlers/NIR_augmentation.本数据集包含带有对应干物质与可溶性固形物破坏性检测结果的猕猴桃近红外光谱（Near-infrared Spectra, NIR），以及基于既往实验数据构建的、由仪器差异引发的光谱变化协方差矩阵。该数据集可用于开展光谱数据增强，并复现Wohlers M、McGlone A、Frank E与Holmes G于2023年在《化学计量学与智能实验室系统》（*Chemometrics and Intelligent Laboratory Systems*）第240卷、文章编号104924中发表的研究成果《基于深度回归的近红外光谱数据增强以提升校准性能》。相关示例代码可通过链接https://github.com/mwohlers/NIR_augmentation获取。