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MS29 Version 0.1 of the b3verse R package suite publicly available

This milestone report presents version 0.1 of the b3verse, a suite of R packages developed to support biodiversity analysis workflows based on occurrence cubes within the B3 project. The b3verse provides a coherent, modular, and reproducible software ecosystem for data acquisition, cube simulation, processing, indicator calculation, and uncertainty assessment. It is designed for ecological researchers, developers, and policy-oriented users who work with biodiversity data.

The current version of the b3verse includes eleven R packages, available through a dedicated R-universe platform, with individual GitHub repositories for collaborative development and issue tracking. To ensure accessibility and sustainability, snapshot versions are archived on Zenodo. The platform also includes the b3data data package, providing example datasets in the Frictionless Data Package format, directly accessible via R.

Details

Number of pages 16
Type Report not published by INBO
Category Research
Language English
Bibtex

@misc{e42922bd-517f-4ee9-9d52-d0af5b5aac38,
title = "MS29 Version 0.1 of the b3verse R package suite publicly available",
abstract = "This milestone report presents version 0.1 of the b3verse, a suite of R packages developed to support biodiversity analysis workflows based on occurrence cubes within the B3 project. The b3verse provides a coherent, modular, and reproducible software ecosystem for data acquisition, cube simulation, processing, indicator calculation, and uncertainty assessment. It is designed for ecological researchers, developers, and policy-oriented users who work with biodiversity data.

The current version of the b3verse includes eleven R packages, available through a dedicated R-universe platform, with individual GitHub repositories for collaborative development and issue tracking. To ensure accessibility and sustainability, snapshot versions are archived on Zenodo. The platform also includes the b3data data package, providing example datasets in the Frictionless Data Package format, directly accessible via R.",
author = "Ward Langeraert and Lissa Breugelmans and Peter Desmet and Shawn Dove and Sabrina Kumschick and Sandra MacFadyen and Hanno Seebens and Maarten Trekels and Mukhtar Muhammed Yahaya and Toon Van Daele",
year = "2025",
month = aug,
day = "29",
doi = "",
language = "English",
publisher = "Instituut voor Natuur- en Bosonderzoek",
address = "Belgium,
type = "Other"
}

Authors

Ward Langeraert
Lissa Breugelmans
Peter Desmet
Shawn Dove
Sabrina Kumschick
Sandra MacFadyen
Hanno Seebens
Maarten Trekels
Mukhtar Muhammed Yahaya
Toon Van Daele