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@CLOUD-NES

CLOUD-NES

CLOUD-NES aims to stimulate the use of cloud-native methods to publish, access, and process research data efficiently by building a prototype open cloud-native data repository, transforming selected datasets in traditional formats into cloud-native ones, demonstrating the benefits of cloud-native approaches with reliable and reproducible benchmarks in comparison to traditional methods, developing open training material and providing tailored training to the researchers to improve their skills in using cloud-native methods, and sharing the experience and lessons learned with relevant (inter)national stakeholders.

Research Software Directory

The project "CLOUD-NES: Facilitating Cloud-Native Data Access and Processing for Natural and Engineering Sciences" with file number ICT.001.TDCC.016 of the research programme NWO TDCC Fund 2023-2 is financed by the Dutch Research Council (NWO).

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  1. cloudgeometer cloudgeometer Public

    Benchmarking access to cloud-native geospatial data

    Python

  2. ahn-stac ahn-stac Public

    Material for the AHN STAC catalog

    Jupyter Notebook 2

  3. jupyterhub jupyterhub Public

    JupyterHub for CLOUD-NES

    Python

  4. stac-infrastructure stac-infrastructure Public

    STAC API for CLOUD-NES datasets on SURF

    Dockerfile

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