Explore projects

Modular System for Shelves and Coasts

Viable North Sea (ViNoS) is an Agent-based Model (ABM) of the German Small-scale Fisheries. As a Social-Ecological Systems (SES) model it focusses on the adaptive behaviour of fishers facing regulatory, economic, and resource changes. Small-scale fisheries are an important part both of the cultural perception of the German North Sea coast and of its fishing industry. These fisheries are typically family-run operations that use smaller boats and traditional fishing methods to catch a variety of bottom-dwelling species, including plaice, sole, and brown shrimp.

Fishers in the North Sea face area competition with other uses of the sea---long practiced ones like shipping, gas exploration and sand extractions, and currently increasing ones like marine protection and offshore wind farming (OWF). German authorities have just released a new maritime spatial plan implementing the need for 30% of protection areas demanded by the United Nations High Seas Treaty and aiming at up to 70 GW of offshore wind power generation by 2045. Fisheries in the North Sea also have to adjust to the northward migration of their established resources following the climate heating of the water. And they have to re-evaluate their economic balance by figuring in the foreseeable rise in oil price and the need for re-investing into their aged fleet.

This repository contains the code for the front end of unHIDE, the Helmholtz Knowledge graph. This includes code how to setup a webpage for search, APIs and the backend of the User interface with SOLR and Indexer.

The project started from the work and code of https://github.com/iodepo/oih-ui and https://github.com/iodepo/oih-ui-docker. We are thankful for their work.

The Helmholtz Digitisation Ontology (HDO): An ontology for the formal description of digital assets and processes, aligned to the practices and conventions of the OBO Foundry.

Single-Cell Immunoglobulin (and TCR) Repertoire Toolkit and Database

docs.scireptor.net

This repository contains files and code to deploy the unHIDE project, containing the Helmholtz knowledge graph, through docker-compose in a development or production environment.

More information on the unHIDE project, which was launched by the Helmholtz Metadata Collaboration (HMC), you can find under https://docs.unhide.helmholtz-metadaten.de/intro.html.

Collects data from different sources and prepares it for further usage in statistical analysis. Mainly aimed to help with creating the relevant statistics for the yearly report but also extendable for different use-cases. Current status: POC/WIP