A study of wood, knots and bark extractives from oak and beech (EU) and Douglas fir (EU+USA+Canada) over the period 1950-2020

DOI

The available database Wood_db-chemistry is the result of extracting interesting data by analysing already published scientific literature. The data provide information on wood, knots and bark extracts from 4 forest species grown and processed in the East of France (Quercus robur, Quercus petraea, Fagus sylvatica, Pseudotsuga menziesii). Consulting the database provides information on (i) the extraction process used to obtain the extracts, the chemical content of the extracts and the determination of the extractives (ii) the active bioactive properties of the extracts (iii) the metadata of the extracts.The wood_db-chemistry database is opened by exporting 3 CSV files, each generated by an SQL query sent to the database. At any given time, the 3 CSV files proposed are a perfect representation of the contents of the wood_db-chemistry database. This dataset is presented and described in a paper published in Annals of Forest Science by Springer. This data paper is available at https//doi.org/10.1186/s13595-024-01223-0

Identifier
DOI https://doi.org/10.57745/QZYPUA
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/QZYPUA
Provenance
Creator Richard, Béatrice ORCID logo; Bénard, Alain ORCID logo; Dumarçay, Stéphane ORCID logo; Colin, Francis
Publisher Recherche Data Gouv
Contributor Richard, Béatrice; Bénard, Alain
Publication Year 2024
Funding Reference FEDER-FSE Lorraine et Massif des Vosges LO0017771
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Richard, Béatrice (INRAE); Bénard, Alain (INRAE)
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 1656925; 524993; 148660
Version 1.0
Discipline Chemistry; Natural Sciences