Connector for getting data from Liquid Robotic Wave Gliders

Optimality-based plankton model

Visualising geospatial time series datasets in realtime with the Digital Earth Viewer (https://doi.org/10.1016/j.cag.2022.01.010)

Provenance Visualization and Management Tool for Immersive and Collaborative Visual Analytics

Python RPC wrapper for the data analytics software framework DASF | Documentation | https://doi.org/10.5880/GFZ.1.4.2021.005

API to monitor and report progress in the DASF RPC ecosystem | Documentation | https://doi.org/10.5880/GFZ.1.4.2021.007

Connector for parsing vessel positions received via dship-NRT mail to dm-data@geomar.de

GEOMAR branded template files for documentation web sites based on mkdocs-material.

Example of a minimal website with some basic elements. Great for "learning by doing" the basics of web development.

Web front-end components of the data analytics software framework DASF | Documentation | https://doi.org/10.5880/GFZ.1.4.2021.006

This is the model code used in Carbon_Dioxide_Removal_via_Macroalgae_Open_ocean_Maricultureand_Sinking__An_Earth_System_Modeling_Study (ESD, Wu et.al, 2022).

A python tool to exploit image annotations stored in the (standardized) iFDO format to train a YOLOv5-based inference model.

Understand complex models and derive surrogate models, via assessment of input-output parameter relations through visual exploration based on the stacked-parameter-relation (SPR) technique.

This project contains the core components of the ARCHES Digital Twin Framework. e.g. message conversions, digital shadow nodes for physical and digital twins, and more.

Demo implementation for finding exclusive economic zones for a list of given positions

Lecture material for climDAT

A (most likely temporary) fork of the Digital Earth Viewer adapted to the needs of the ARENA2 dome and provenance tracking.

Visualising geospatial time series datasets in realtime with the Digital Earth Viewer (https://doi.org/10.1016/j.cag.2022.01.010)

Software developed to assess carbon accounting schemes for ocean-based NETs https://doi.org/10.3289/SW_1_2022