To address the comprehensive utilization of tobacco stem waste,this study constructed a process dataset for the preparation of tobacco flavors based on a superheated steam distillation-cracking process integrated technology.The preparation process was optimized using single-factor experiments combined with Box-Behnken response surface methodology.Key process parameters,including superheated steam flow rate (1 000 g/h),superheated steam temperature (320 ℃),and heating rate (3 ℃/min),along with the flavor yield data corresponding to fine and coarse stems (10.24% and 9.96%,respectively),were disclosed.Through gas chromatography-mass spectrometry (GC-MS) analysis,the main characteristic components identified in the tobacco flavor prepared from fine stems included α-cedrene,cedrol,furfuryl alcohol,guaiacol,and nicotine.For the flavor prepared from coarse stems,the main characteristic components identified included guaiacol,cedrol,and isoeugenol.This dataset can provide systematic data support for the flavoring of novel tobacco products and the efficient,high-value resource utilization of tobacco stem waste.

Polygonatum odoratum is a homology of medicine and food. Primary and secondary metabolites are the important material basis for its edible and medicinal values. However, the synthesis of metabolites is closely related to the variety and region. In this study, P. odoratum samples were collected from Hunan, Guangdong, Zhejiang and Jilin. Meanwhile, different varieties in Hunan, such as Zhushiwei, Gaohe, Ciwei, Tianmawei and wild P. odoratum were also collected. The non-targeted metabolomics technology based on ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was employed to identify the metabolites of P. odoratum. A total of 1 011 metabolites were identified in 30 samples of P. odoratum, which were classified into 18 categories including amino acids and derivatives, organic acids, benzene and its substituted derivatives, and lipids, etc. A metabolite dataset of P. odoratum from different regions and varieties was established. This dataset can provide support for the comprehensive evaluation of the quality of P. odoratum and its rational utilization.

In order to systematically review the current research status and development trends of ginsenosides in the field of cancer treatment,this study retrieved a total of 1 358 Chinese and English publications from CNKI,Wanfang,VIP,and the Web of Science core database,including 492 Chinese publications and 866 English publications.Meanwhile,735 related global patents were obtained using the IncoPat patent database,constructing a dataset of relevant literature and patents spanning from January 1,2000 to October 1,2025.The first part employed CiteSpace software to visualize publication trends,countries,institutional collaborations,author networks,keyword co-occurrence,and clustering analysis.The second part utilized GraphPad Prism and Excel to perform bibliometric analysis on global patent application trends,regional distribution,applicants,patent conversion rates,and invalidity rates.The dataset produced 14 Excel tables and 24 figures,providing a comprehensive overview of research and intellectual property arrangements of ginsenosides in cancer prevention and treatment.This offers systematic data support and decision-making references for future research directions,patent strategy optimization,and clinical translation in this field,thereby promoting the development of more precise and efficient strategies for cancer prevention and treatment.

This dataset investigates the potential neurotoxicity of myristicin,a compound found in the food spice nutmeg.By integrating data from public resources including PubChem,TCMSP,GeneCards,HERB,OMIM,STRING,DAVID,NCBI GEO and PDB,a multi-layered analytical pipeline was constructed following the sequence of "compound-target -network/enrichment-expression validation-molecular docking." The dataset comprises eight tables (including myristicin ADMET profiles,predicted targets of myristicin,targets associated with Parkinson′s disease and depression,and their intersecting targets,as well as differentially expressed genes validated via the GEO database for myristicin-induced Parkinson′s disease and depression models) and five figures (including the PPI network for toxicity mechanism analysis,GO and KEGG enrichment analysis results,statistical analysis of expression differences for relevant targets validated in GEO datasets,and molecular docking results for core targets).This dataset provides a reference for screening comorbidity risk signals in Parkinson′s disease and depression,as well as for informing food quality control strategies related to myristicin.

To further exploit endophytic fungal resources residing in medicinal plants,this study isolated a strain Aspergillus sydowii XG-157 from the Tibetan medicinal herb Hypecoum leptocarpum Hook.f.et Thoms. In vitro antibacterial activity testing revealed that both the petroleum ether fraction and ethyl acetate fraction of the A. sydowii XG-157 fermentation products exhibited varying degrees of inhibitory activity against a range of pathogens.Gas chromatography-mass spectrometry (GC-MS) was used to analyze the fat-soluble components of the bioactive fractions from the fermentation broth of endophytic A. sydowii XG-157 fermentation products,thereby establishing a comprehensive dataset of the fat-soluble antimicrobial metabolites produced by this fungal strain.This dataset includes the ITS sequence of strain A. sydowii XG-157,the antibacterial screening results of the crude extract and successive fractions of endophytic A. sydowii XG-157,25 compounds from petroleum ether fraction and 27 compounds from ethyl acetate fraction,respectively.This dataset provides a solid scientific basis for exploiting H. leptocarpum-associated endophytic fungi,discovering antimicrobial lead compounds,and developing microbial pesticides.

Peony is a traditional floral plant in China, whose petals are rich in diverse nutrients and contain high levels of functional components, making it a novel food resource of significant application value. To investigate the characteristics and potential value of peony petals, Ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) combined with non-targeted metabolomics was employed to identify the active components in the petals of three peony varieties with distinct flower colours (white Paeonia sufruticosa 'Feng Dan', yellow Paeonia lemoinei 'High Noon', and pink Paeonia sufruticosa 'Ri Xiang').A total of 1,256 metabolites across 16 classes were annotated under both positive and negative ion modes. Significant differences in flavonoids, terpenoids, and alkaloids between groups were identified using univariate t-tests and multivariate analyses. This dataset provides data support for analysing and evaluating the bioactive components in petals of these three peony varieties.

The whole plant of Oenothera biennis is medicinal,and a variety of bioactive compounds such as unsaturated fatty acids,polyphenols and flavonoids have been isolated from it to date,which exhibit hypolipidemic,hypoglycemic and anti-inflammatory activities.In this study,untargeted metabolomics was employed to detect and identify metabolites in roots,stems,leaves,flowers and seeds of O. biennis. A total of 3714 metabolites were identified,and principal component analysis (PCA) was further applied to screen differential metabolites in different parts of O. biennis,thus establishing a metabolite dataset of different parts of O. biennis.This dataset contains all sample data determined by untargeted metabolomics,as well as categorical data of the metabolites detected and identified in O. biennis,aiming to provide a data reference for the analysis and evaluation of O. biennis quality,the in-depth excavation of its functional components and their efficient utilization.

To achieve high-quality drying of Isatidis Folium (commonly known as woad),a medicinal plant with a history of traditional edible use,this study used the folk-edible variety from Wenzhou,Zhejiang Province as the raw material.Three drying methods—hot air drying,radio frequency drying,and vacuum freeze drying—were applied to prepare Isatidis Folium powder.A total of 12 quality indicators were evaluated,including moisture content,drying time,active components (total chlorophyll,total phenolics,flavonoids),antioxidant capacity (DPPH and ABTS radical scavenging activities),physicochemical properties (wettability,water-holding capacity,solubility),color,and microstructure.The resulting data were uploaded to a public database in the form of “.xlsx” and “.jpg” files to establish a drying characteristic dataset for Isatidis Folium.The dataset systematically presents the drying characteristics of Isatidis Folium and illustrates the effects of the three drying methods on its quality attributes,providing technical support for the high-value processing of Isatidis Folium and other plant resources with development potential in the food industry.

Saussurea medusa Maxim.is a traditional Tibetan medicinal plant native to the Qinghai-Tibet Plateau,and its lignan compounds are recognized as the characteristic and major bioactive constituents.Based on published scientific literature and specialized chemical databases,this study systematically compiled the fundamental information of 62 lignan compounds that have been isolated and identified from S. medusa,including compound names,molecular formulas,and molecular weights.To facilitate structural analysis,visualization,and computational simulation for researchers,this dataset provides structural data of the 62 lignan chemical constituents.This dataset aims to offer convenient and extensible foundational data support for multidimensional research on S. medusa,including chemical composition studies,bioactive compound screening,drug development,and structure-activity relationship analysis.

To systematically characterize the composition of volatile compounds in different tissues of Lycium barbarum L.,gas chromatography-ion mobility spectrometry (GC-IMS) was employed to detect and organize volatile organic compounds in leaves,flowers,unripe fruits,and ripe fruits collected from Golmud,Qinghai,China.A dataset of volatile components across different tissues of L. barbarum was constructed.A total of 41 volatile organic compounds were identified,including aldehydes,ketones,esters,alcohols,and furan derivatives.This study established characteristic volatile fingerprints for different tissues and clarified tissue-specific flavor compounds.The dataset provides systematic data support and a theoretical basis for the comprehensive utilization of whole-plant resources of L. barbarum,scientific evaluation of flavor quality,and the development of related specialty foods and flavoring products.