PADAPT 1.0 - the Pannonian Dataset of Plant Traits.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
25 10 2023
25 10 2023
Historique:
received:
16
05
2023
accepted:
04
10
2023
medline:
27
10
2023
pubmed:
26
10
2023
entrez:
25
10
2023
Statut:
epublish
Résumé
The existing plant trait databases' applicability is limited for studies dealing with the flora and vegetation of the eastern and central part of Europe and for large-scale comparisons across regions, mostly because their geographical data coverage is limited and they incorporate records from several different sources, often from regions with markedly different climatic conditions. These problems motivated the compilation of a regional dataset for the flora of the Pannonian region (Eastern Central Europe). PADAPT, the Pannonian Dataset of Plant Traits relies on regional data sources and collates data on 54 traits and attributes of the plant species of the Pannonian region. The current version covers approximately 90% of the species of the region and consists of 126,337 records on 2745 taxa. By including species of the eastern part of Europe not covered by other databases, PADAPT can facilitate studying the flora and vegetation of the eastern part of the continent. Although data coverage is far from complete, PADAPT meets the longstanding need for a regional database of the Pannonian flora.
Identifiants
pubmed: 37880224
doi: 10.1038/s41597-023-02619-9
pii: 10.1038/s41597-023-02619-9
pmc: PMC10600112
doi:
Types de publication
Dataset
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
742Subventions
Organisme : Nemzeti Kutatási, Fejlesztési és Innovációs Hivatal (NKFI Office)
ID : K 119225
Organisme : Nemzeti Kutatási, Fejlesztési és Innovációs Hivatal (NKFI Office)
ID : K 137573
Organisme : Nemzeti Kutatási, Fejlesztési és Innovációs Hivatal (NKFI Office)
ID : KKP 144068
Organisme : Nemzeti Kutatási, Fejlesztési és Innovációs Hivatal (NKFI Office)
ID : PD 137747
Organisme : Nemzeti Kutatási, Fejlesztési és Innovációs Hivatal (NKFI Office)
ID : KH 130320
Organisme : Nemzeti Kutatási, Fejlesztési és Innovációs Hivatal (NKFI Office)
ID : PD 138859
Organisme : Nemzeti Kutatási, Fejlesztési és Innovációs Hivatal (NKFI Office)
ID : PD 138715
Organisme : Nemzeti Kutatási, Fejlesztési és Innovációs Hivatal (NKFI Office)
ID : PD 137828
Organisme : Magyar Tudományos Akadémia (Hungarian Academy of Sciences)
ID : BO/00587/23/8
Informations de copyright
© 2023. Springer Nature Limited.
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