DeepDiveR – A software for deep learning estimation of palaeodiversity from fossil occurrences
Software, data and code to run analyses presented in the application note 'DeepDiveR – A software for deep learning estimation of palaeodiversity from fossil occurrences', Methods in Ecology and Evolution (2025). The folder DeepDiveR contains the software, while example_files contains the data and scripts for preparing formatted input files for an analysis of carnivoran mammal diversity in the Cenozoic. The folder carnivore_analysis contains the configuration files used to simulate data, then train and asses models built using the DeepDiveR and DeepDive softwares along with the outputs presented in the paper.
Institutions
- SIB Swiss Institute of Bioinformatics (CH)
- University of Fribourg (CH)
- ETH Zurich (CH)
- Department of Chemistry and Earth Sciences (BY)
- GFZ Helmholtz Centre for Geosciences (DE)
- University of Birmingham (GB)
- University of Gothenburg (SE)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-12
- DOI
- https://doi.org/10.5281/zenodo.15649576
- Primary Topic
- Reproductive Biology and Fertility
- Type
- article
- Field-Weighted Citation Impact
- 0.00