Cite
Fast, scalable, and automated identification of articles for biodiversity and macroecological datasets.
MLA
Cornford, Richard, et al. “Fast, Scalable, and Automated Identification of Articles for Biodiversity and Macroecological Datasets.” Global Ecology & Biogeography, vol. 30, no. 1, Jan. 2021, pp. 339–47. EBSCOhost, https://doi.org/10.1111/geb.13219.
APA
Cornford, R., Deinet, S., De Palma, A., Hill, S. L. L., McRae, L., Pettit, B., Marconi, V., Purvis, A., Freeman, R., & Peres, N. P. (2021). Fast, scalable, and automated identification of articles for biodiversity and macroecological datasets. Global Ecology & Biogeography, 30(1), 339–347. https://doi.org/10.1111/geb.13219
Chicago
Cornford, Richard, Stefanie Deinet, Adriana De Palma, Samantha L. L. Hill, Louise McRae, Benjamin Pettit, Valentina Marconi, Andy Purvis, Robin Freeman, and Neto, Pedro Peres. 2021. “Fast, Scalable, and Automated Identification of Articles for Biodiversity and Macroecological Datasets.” Global Ecology & Biogeography 30 (1): 339–47. doi:10.1111/geb.13219.