دورية أكاديمية

CO2 solubility and composition data of food products stored in data warehouse structured by an ontology

التفاصيل البيبلوغرافية
العنوان: CO2 solubility and composition data of food products stored in data warehouse structured by an ontology
المؤلفون: Melanie Munch, Patrice Buche, Luc Menut, Julien Cufi, Valérie Guillard
المصدر: Data in Brief, Vol 47, Iss , Pp 108950- (2023)
بيانات النشر: Elsevier, 2023.
سنة النشر: 2023
المجموعة: LCC:Computer applications to medicine. Medical informatics
LCC:Science (General)
مصطلحات موضوعية: CO2 Solubility, Ontology, Food, Compositional parameters, Knowledge graph, Computer applications to medicine. Medical informatics, R858-859.7, Science (General), Q1-390
الوصف: This data paper presents the values of CO2 solubility at different temperatures and main compositional parameters (protein, fat, moisture, sugars and salt content) for food products from different categories: dairy products, fishes and meats. It is the result of an extensive meta-analysis gathering the results of different major papers published on the domain on the period of 1980 to 2021, presenting the composition of 81 different food products corresponding to 362 solubility measures. For each food product, the compositional parameters were either extracted directly from the original source, or extracted from open-source databases. This dataset has also been enriched with measurements made on pure water and oil for comparison purposes. In order to ease the comparison between different sources, data have been semantized and structured by an ontology enriched with domain vocabulary. They are stored in a public repository and can be retrieved through the @Web tool, a user-friendly interface allowing to capitalize and query the data.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2352-3409
العلاقة: http://www.sciencedirect.com/science/article/pii/S2352340923000689Test; https://doaj.org/toc/2352-3409Test
DOI: 10.1016/j.dib.2023.108950
الوصول الحر: https://doaj.org/article/4e7aded398a648339634a1ce0e27852cTest
رقم الانضمام: edsdoj.4e7aded398a648339634a1ce0e27852c
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23523409
DOI:10.1016/j.dib.2023.108950