AusTraits 4.0.0
This is major/minor release of the AusTraits database.
- austraits-4.0.0.zip: contains the compiled dataset and detailed of
structure - austraits-4.0.0.rds: contains a version of the dataset for direct
loading in R - source code v4.0.0.zip: contains the source materials used to build
the compiled dataset
For details on access, structure and usage please visit
https://doi.org/10.5281/zenodo.3568417
This release was generated from source materials available at https://github.com/traitecoevo/austraits.build/releases/tag/v4.0.0.
A full set of changes in the source can be viewed at: https://github.com/traitecoevo/austraits.build/compare/v3.0.2…v4.0.0
Compared to the last version, this release contains substantial additions of new data and improvement of old data.
version | dataset_id | taxa | locations | traits | records |
---|---|---|---|---|---|
3.0.2 | 283 | 28640 | 4721 | 448 | 997808 |
4.0.0 | 296 | 34028 | 2697 | 470 | 1257443 |
Changes for this release include:
- Established code as a standalone package
- Align variables (column names) with Darwin Core, Dublin Core, and the Ecological Trait-data Standard
- Allowing more metadata to be associated with individual trait measurements instead of traits or the dataset (e.g. life stage, replicates, entity type)
- Rework context, so that multiple context properties can be read in
- Reworked identifiers, including 5 separate context property identifiers and location id
- Add source_id, such that individual rows of data can be attributed to a specific source
- Merge different date fields into
collection_date
- Work from two separate vocabulary workshops merged in (
Seed Traits
&Whole Plant and Leaf Vegetative Traits
). Also some work realigning traits related to fire response. - Rename other traits to have more consistent naming
- Added entity_type, reflecting the entity being measured
- Added scraped data from online floras for 7 traits related to plant growth form. For
plant_growth_form
andwoodiness
manually gap-filled from the taxonomic literature to have complete data coverage - Reworked how taxonomic names are processed, such that submitted taxon names are now aligning to the most specific taxon name possible, with separate columns for
family
;genus
;binomial
;trinomial
, filled in as appropriate. - New taxonomic updates added, based on updated algorithms that do a much better job of capturing phrase names and submitted taxon names that include notes. In addition, algorithms automatically identify names that can only be aligned to genus.
- Removed taxon matching code from austraits.build (to become part of a separate package)
- Add database metadata into the build process
This release contains:
- 14 new sources added to the dataset: ABRS_2022,
ATRP_2020, Campbell_2006, Clarke_2009,
NHNSW_2022, Nolan_2022, NTH_2022, RBGV_2022, SAH_2022, WAH_2022_1,
WAH_2022_2, Wenk_2022, Williams_2012 - 12 new contributors: Alastair Robinson,
Andre Messina, Daniel Ohlsen, David Coleman, Elizabeth Wenk,
Matthias M. Boer, Monica Campbell, Neville Walsh, Niels Klazenga,
Paul R. Williams, Rachael Nolan, Val Stajsic - 3 sources renamed : Barlow_1981 -> ABRS_1981, RBGSYD_2014 -> NHNSW_2014, RBGSYD_2014_2 -> NHNSW_2014_2
Details on new studies:
dataset_id | taxa | locations | traits | records |
---|---|---|---|---|
ABRS_2022 | 13988 | 1 | 7 | 48353 |
ATRP_2020 | 1490 | 1 | 8 | 1831 |
Campbell_2006 | 65 | 3 | 6 | 390 |
Clarke_2009 | 469 | 6 | 7 | 1824 |
NHNSW_2022 | 7913 | 1 | 7 | 28354 |
Nolan_2022 | 18 | 8 | 10 | 606 |
NTH_2022 | 2451 | 1 | 7 | 8183 |
RBGV_2022 | 5368 | 1 | 7 | 19060 |
SAH_2022 | 3499 | 1 | 7 | 11905 |
WAH_2022_1 | 683 | 1 | 7 | 2254 |
WAH_2022_2 | 13331 | 1 | 7 | 48703 |
Wenk_2022 | 30280 | 1 | 2 | 60309 |
Williams_2012 | 79 | 1 | 6 | 206 |
Full Changelog: v3.0.2...v4.0.0