galah
{galah} is an R and Python interface to biodiversity data hosted by the Atlas of Living Australia (ALA). It enables users to locate and download species occurrence records (observations, specimens, eDNA records, etc.), taxonomic information, or associated media such as images or sounds, and to restrict their queries to particular taxa or locations.
Visit the {galah} website to learn more.
If you have any questions, comments, or spot any bugs, email us or report an issue on the R package GitHub page or the Python package Github page
galaxias
{galaxias} is an R and Python interface designed to simplify the process of converting biodiversity data into Darwin Core Archives (DwCA), facilitating data submission to infrastructures such as the Atlas of Living Australia (ALA) or the Global Biodiversity Information Facility (GBIF).
Visit the {galaxias} website to learn more.
If you have any questions, comments, or spot any bugs, email us or report an issue on the R package GitHub page or the Python package Github page
corella
{corella} is an R and Python package that helps users standardize their data using the Darwin Core data standard, used for biodiversity data like species occurrences. corella provides tools to prepare, manipulate and validate data against the standard’s criteria. Once standardized, data can be subsequently shared as a Darwin Core Archive and published to open data infrastructures like the Atlas of Living Australia and GBIF.
Visit the {corella} website to learn more.
If you have any questions, comments, or spot any bugs, email us or report an issue on the R package GitHub page or the Python package Github page
delma
{delma} is an R and Python package for converting metadata statements written in R Markdown or Quarto markdown to Ecological Metadata Language (EML). EML is a common framework for describing ecological datasets so they can be shared and reused. delma supports users to write metadata statements in markdown, R Markdown or Quarto markdown for greater transparency and ease-of-use, then convert them to EML for efficient transfer.
Visit the {delma} website to learn more.
If you have any questions, comments, or spot any bugs, email us or report an issue on the R package GitHub page or the Python package Github page
potions
{potions} makes options management in R—usually edited using base::options() and related functions—simpler. It uses a minimalist workflow to store and retrieve information with three core functions: brew(), pour() and drain().
Visit the {potions} website to learn more about how to use {potions}
If you have any questions, comments, or spot any bugs, email us or report an issue on our GitHub page
