Bánki, O. et al. Catalogue of Life (2025-11-16 XR) (Catalogue of Life Foundation, 2025); https://doi.org/10.48580/dgvbl.
Miralles, A. et al. Repositories for taxonomic data: where we are and what is missing. Syst. Biol. 69, 1231–1253 (2020).
Godfray, H. C. J. Jr. Linnaeus in the information age. Nature 446, 259–260 (2007).
Renner, S. S. Linking to images and AI-based identification tools—the only way for flora projects to survive. Plants People Planet 8, 452–460 (2025).
Agosti, D., Catapano, T., Sautter, G. & Egloff, W. The Plazi workflow: the PDF prison break for biodiversity data. Biodivers. Inf. Sci. Stand. 3, e37046 (2019).
La Salle, J. et al. Accelerating taxonomic discovery through automated character extraction. Zootaxa 2217, 43–55 (2009).
Wührl, L. et al. DiversityScanner: robotic handling of small invertebrates with machine learning methods. Mol. Ecol. Resour. 22, 1626–1638 (2022).
Van Dam, A. R. & Štarhová Serbina, L. Descriptron: artificial intelligence for automating taxonomic species descriptions with a user-friendly software package. Syst. Entomol. 51, e70005 (2026).
La Salle, J., Williams, K. J. & Moritz, C. Biodiversity analysis in the digital era. Phil. Trans. R. Soc. Lond. B 371, 20150337 (2016).
Srivathsan, A. et al. ONTbarcoder and MinION barcodes aid biodiversity discovery and identification by everyone, for everyone. BMC Biol. 19, 217 (2021).
Hartop, E., Srivathsan, A., Ronquist, F. & Meier, R. Towards large-scale integrative taxonomy (LIT): resolving the data conundrum for dark taxa. Syst. Biol. 71, 1404–1422 (2022).
Torres, A., Lee, L., Srivathsan, A. & Meier, R. UITOTO: a software for generating molecular diagnoses for species descriptions. Cladistics 42, 193–205 (2025).