GitLab

HiLEG is a spatially explicit stage- and cohort-based simulation model that allows using daily time steps, to mechanistically examine the interrelations between population dynamics and external drivers, such as climate and land use.

This project contains a Python class for easy analysis of hyperspectral imagery time series with simplex volume maximisation (SiVM) and R code for statistical evaluation.

A package to derive Level 1 to Level 3 data products from records obtained by LTC datalogger from Solinst

A consistent, extensible, easy-to-use tool/framework for reproducible quality control of time series data.

Spawn batch jobs onto DigitalOcean Droplets

Paper for GMD describing new MPR codebase

temporary fork to implement the new flagging mechanism. to merge up/downstream, use new Merge Request in the source repro and select the respective other repro as target.

Template of a Fortran program depending on FORCES.

Cmake scripts for Fortran Projects at CHS

External drift kriging in Fortran supporting NetCDF in- and output.