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A combined introduction into the two popular data processing and plotting frameworks

Together towards interoperable semantics in the electron microscopies

The repository contains the example code used in this workshop.

Set of tools to harvest, process and uplift (meta)data from metadata providers within the Helmholtz association to be included in the Helmholtz Knowledge Graph (Helmholtz-KG). The harvested linked data in the form of schema.org jsonld is aggregated and uplifted in data pipelines to be included into a single large knowledge graph (KG). The tool set and harvesters can be used as a python library or over a commandline interface (CLI, hmc-unhide). Provenance of metadata changes is tracked rudimentary by saving graph patches of changes on rdflib Graph data structures on the semantic triple level. Harvesters support extracting data via sitemap, gitlab API, datacite API and OAI-PMH endpoints.

An introductory course for programming with Python

Modular System for Shelves and Coasts

A 2D transect following the depth profile of the Elbe river along its central channel

Here we develop the templates and workflows for exporting sample (meta)data from different repositories to https://marine-data.de/

Collection of HIFIS workshop reports and reporting guidelines