- Identifiers table added, allowing trait values to be linked to a specific identifiers in an herbarium, museum collection, GenBank, or an arboretum. If a data contributor has collected data on the same individual plants across multiple datasets, these can also be linked.
- Methods table documents the dataset’s Bibtex types, whether the data are from a Journal article, Online resource, Unpublished dataset, Thesis, etc.
- Additional entity_type values added to schema, included
standard_error, standard_deviation.
- A collection of minor errors have been fixed - including empty datasets breaking the build process, and the wrong location name column being read in
- traits.build paper published in Sep 2024 in Ecological Informatics (DOI: 10.1016/j.ecoinf.2024.102773)
- Added standard error and standard deviation as value types
- Moved functions to austraits package and made austraits package a dependancy
- Renamed some of the functions that are now moved to austraits package
-
bind_databases <– build_combine
-
convert_df_to_list <– util_df_to_list
-
convert_list_to_df1 <– util_list_to_df1
-
convert_list_to_df2 <– util_list_to_df2
- Renamed functions still also assigned their old name, with a deprecation warning indicating the new name
-
plot_trait_distribution_beeswarm, trait_pivot_longer and trait_pivot_wider had been in both austraits and traits.build packages and have now been removed from traits.build
- Import new austraits function
flatten_database (had been suggested to be database_create_combined_table)
- Refactoring of test functions used by
dataset_test
- Added tests using the
dataset_test function, so it is checked explicitly by traits.build (run on Example datasets)
- Minor bug fixes
- Minor updates to ontology (now version 1.0)
- Small bugfixes in dataset_test
- Add Onotology
- Add Hex sticker
As described in #134, fixes some minor issues with
- testing of datasets in
dataset_test
- generating of reports
- standardising of taxonomic names.
This is the first major release of the {traits.build} package, providing a workflow to harmonise trait data from diverse sources. The code was originally built to support AusTraits (see Falster et al 2021, doi:10.1038/s41597-021-01006-6, https://github.com/traitecoevo/autraits.build) and has been generalised here to support construction of other trait databases. Detailed instructions are available at