Explore projects

Machine learning models developed for avalanche danger level predictions in Switzerland

Git repository for the publication "Fine-scale variation in soil properties promotes local taxonomic diversity of hybridizing oak species (Quercus spp.)". For further information please read the README.md file.

Codes for the CHELSA_ISIMIP3b_BA_1km project.

Utility functions for CHELSA

Package for calculating sub-canopy shortwave radiation

Codes for the CHELSA-W5E5 paper

Microservice cron to make EnviDat data accessible via Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH).

This python code uses the Finite Element library FENICS (via docker) to solve the one dimensional partial differential equations for heat and mass transfer in snow. The results are written in vtk format from which the paper figure is reproduced.