Biocomposites from poly(3-hydroxybutyrate-co-3-hydroxyvalerate) and lignocellulosic fillers: Processes stored in data warehouse structured by an ontology - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue (Data Paper) Data in Brief Année : 2022

Biocomposites from poly(3-hydroxybutyrate-co-3-hydroxyvalerate) and lignocellulosic fillers: Processes stored in data warehouse structured by an ontology

Résumé

Due to the rising amount of plastic waste generated each year, multiple questions are emerging about their harmful long-term effects on the environment, the ecosystems and human health. One possible strategy to mitigate these issues is to substitute conventional plastics by materials fully biodegradable in natural conditions, such as poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV). In order to decrease the overall cost and environmental impact of PHBV-based materials while modulating their technical performance, PHBV can be combined with lignocellulosic fillers. In this article, a total of 88 formulations of PHBV-based biocomposites has been collected, distributed over 5 interdisciplinary projects involving computer scientists, data scientists and biomass processing experts for food and bio-based material production. Available data concern the technical process descriptions, including the description of each step and the different observations measured. These data are stored in a knowledge base that can be queried on the Web.
Fichier principal
Vignette du fichier
1-s2.0-S235234092200395X-main.pdf (271.07 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03650668 , version 1 (25-04-2022)
hal-03650668 , version 2 (29-03-2023)

Licence

Paternité

Identifiants

Citer

Mélanie Munch, Patrice Buche, Stéphane Dervaux, Amélie Breysse, Marie-Alix Berthet, et al.. Biocomposites from poly(3-hydroxybutyrate-co-3-hydroxyvalerate) and lignocellulosic fillers: Processes stored in data warehouse structured by an ontology. Data in Brief, 2022, 42, pp.108191. ⟨10.1016/j.dib.2022.108191⟩. ⟨hal-03650668v2⟩
159 Consultations
53 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More