austraits allow users to access, explore and wrangle data from the AusTraits database in R. This package includes several functions such as filtering and pivoting the dataset that we expect will come in handy.

For R users, access and manipulation of the data is assisted with the austraits package

For Python or other users, the Zenodo download includes a .zip file containing all the data in plain text (.csv files) and associated meta-data


The package is not on CRAN yet and is still under active development. You can install the stable version of austraits from GitHub:

remotes::install_github("traitecoevo/austraits", build_vignettes = TRUE)


Take a good look at our vignettes! 👀

In our website, we have also included information about the structure of the database, definitions of the traits and some tutorials that uses our functions as well as some tidyverse functions to create some commonly used data output formats. We highly recommend starting here before jumping into the database!


Show us some support 💚

Please consider citing austraits, we would super appreciate it!

#> To cite austraits in publications use:
#>   Falster, D., Gallagher, R., Wenk, E.H. et al. AusTraits, a curated
#>   plant trait database for the Australian flora. Sci Data 8, 254
#>   (2021).
#> A BibTeX entry for LaTeX users is
#>   @Article{,
#>     title = {AusTraits, a curated plant trait database for the Australian flora},
#>     author = {Daniel Falster and Rachael Gallagher and Elizabeth Wenk et al.},
#>     journal = {Scientific Data},
#>     year = {2021},
#>     volume = {8},
#>     number = {1},
#>     pages = {254 - 274},
#>     url = {},
#>   }

Behind the scenes 🛠

Check out, if you are interested in how AusTraits the database is managed and created

Find a bug? 🐛

Thank you for finding it! Head over to the GitHub Issues tab and let us know about it! We will try to get to it as soon as we can!