Dax Kellie
@daxkellie.bsky.social
Data Analyst & Science Lead at the Atlas of Living Australia | Evolutionary biologist & social psychologist (PhD) 🧪 | #rstats 📊 | Music enthusiast 🎵
www.daxkellie.com
Opinions are my own, and they do not express those of my employer
www.daxkellie.com
Opinions are my own, and they do not express those of my employer
Once your data and metadata are ready, just run `build_archive()`, which will automatically build a schema file (meta.xml), zip and save your Darwin Core Archive to the parent directory.
You are now ready to share your ecological data with the world!
You are now ready to share your ecological data with the world!
October 23, 2025 at 2:41 AM
Once your data and metadata are ready, just run `build_archive()`, which will automatically build a schema file (meta.xml), zip and save your Darwin Core Archive to the parent directory.
You are now ready to share your ecological data with the world!
You are now ready to share your ecological data with the world!
galaxias handles file conversion and file management when preparing a Darwin Core Archive
Want to use your standardised data? Run `use_data()`
Want to add your completed metadata? Run `use_metadata()`
galaxias will convert and save them in the right place
Want to use your standardised data? Run `use_data()`
Want to add your completed metadata? Run `use_metadata()`
galaxias will convert and save them in the right place
October 23, 2025 at 2:41 AM
galaxias handles file conversion and file management when preparing a Darwin Core Archive
Want to use your standardised data? Run `use_data()`
Want to add your completed metadata? Run `use_metadata()`
galaxias will convert and save them in the right place
Want to use your standardised data? Run `use_data()`
Want to add your completed metadata? Run `use_metadata()`
galaxias will convert and save them in the right place
Specify, edit or modify columns to match accepted standard names with `set_` functions. These are basically bespoke wrappers around `dplyr::mutate()`, but with names and arguments that make it easier to find the information you need
October 23, 2025 at 2:41 AM
Specify, edit or modify columns to match accepted standard names with `set_` functions. These are basically bespoke wrappers around `dplyr::mutate()`, but with names and arguments that make it easier to find the information you need