UncerTiSe contains Python modules to help analyze time series with uncertainties - developed under the DFG Project "Impacts of uncertainties in climate data analyses (IUCliD)" (DFG MA4759/8).

Contains example scripts for the 'uncertise' package

Sea level projections for the ISIMIP2 Project

forest growth model 4C

Python workflow for flood mapping using Sentinel-1 data.

This is a test project for GitLab at PIK

temporary repo to overcome git lfs quota issues on github

Companion repository for publication (TODO) "Carbon emission trends and sustainability options in Austrian health care"

rfp is an R library. Its goal is to estimate the costs and benefits of transitioning to a net zero-carbon economy.

Ebook-Server for IT-internal use. Using Calibre-Web.

Idris application-independent libraries. These are extensions of prelude and base Idris libraries, mainly motivated by the development of https://github.com/nicolabotta/SeqDecProbs.

Code repository accompanying the publication: "Network-induced multistability: Lossy coupling and exotic solitary states"

arXiv:1811.11518 [nlin.AO]

forest growth model 4C

A dataset of the harmonized district name and district index of 254 DHS (Demographic and Health Survey) datasets.

Codes and data files necessary to generate figures of tutorial review on nonlinear time series analysis using recurrence plots published in Vibration.