Classroom data science: data and dataing for making sense of multivariate plant growth
Crossref DOI link: https://doi.org/10.1007/s11858-025-01655-6
Published Online: 2025-01-19
Published Print: 2025-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Fry, Kym https://orcid.org/0000-0002-7318-4117
Funding for this research was provided by:
Griffith University
Text and Data Mining valid from 2025-01-19
Version of Record valid from 2025-01-19
Article History
Accepted: 8 January 2025
First Online: 19 January 2025
Declarations
:
: The author confirms that there are no conflicts of interest.