Published April 18, 2024
| Version v1
Journal article
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DeepDive: Estimating global biodiversity patterns through time using deep learning
Description
Software, data and code to run analyses presented in the paper 'DeepDive: Estimating global biodiversity patterns through time using deep learning', Nature Communications (2024).
The deepdive.zip folder contains the software, while example_files.zip contains the materials for the analyses of proboscideans in the Cenozoic and for the Permian-Triassic marine animals. The folder simulation_tests.zip contains the scripts used to simulate data, then train and asses models built using the DeepDive software under different bias conditions as presented in the paper.
Files
deepdive.zip
Additional details
Software
- Repository URL
- https://github.com/DeepDive-project
- Programming language
- Python, R