Mining buried plant trait data from the Global Biodiversity Information Facility (GBIF): Comparison and integration with multiple plant trait databases

Takuro Katori, Michio Oguro

Open source

DOI: 10.1002/aps3.70083
Published: 2026-10-14
Container: Applications in Plant Sciences
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/aps3.70083,
  title = {Mining buried plant trait data from the Global Biodiversity Information Facility (GBIF): Comparison and integration with multiple plant trait databases},
  author = {Takuro Katori and Michio Oguro},
  year = {2026},
  journal = {Applications in Plant Sciences},
  doi = {10.1002/aps3.70083},
  url = {https://doi.org/10.1002/aps3.70083}
}

RIS

TY  - JOUR
TI  - Mining buried plant trait data from the Global Biodiversity Information Facility (GBIF): Comparison and integration with multiple plant trait databases
AU  - Takuro Katori
AU  - Michio Oguro
PY  - 2026
JO  - Applications in Plant Sciences
DO  - 10.1002/aps3.70083
UR  - https://doi.org/10.1002/aps3.70083
ER  -

APA

Katori, T., & Oguro, M. (2026). Mining buried plant trait data from the Global Biodiversity Information Facility (GBIF): Comparison and integration with multiple plant trait databases. Applications in Plant Sciences. https://doi.org/10.1002/aps3.70083

Source records

crossref · retrieved 2026-11-10T06:03:57.397Z