Training eSupport System
  • Log In
    • Login
    • Register
  • About
  • Events
  • Materials
  • Workflows
  • Collections
  • Directory
    • Providers

TeSS makes use of some necessary cookies to provide its core functionality.

See our Privacy Policy for more information.

You can modify your cookie preferences at any time here, or from the link in the footer.

Allow necessary cookies
  1. Home
  2. Workflows

Filter

  • Sort

  • Filter Clear filters

    • Target audience
    • research data scientist
    • life scientists2
    • Show N_FILTERS more
    • Keyword
    • Pulmonary arterial hypertension
    • Jupyter notebooks2
    • Python2
    • imaging2
    • synchrotron2
    • Show N_FILTERS more
    • Author
    • Krisztian Pozsa (PSI)2
    • Oliver Knodel (HZDR)2
    • Show N_FILTERS more
    • Contributor
    • Carlo Minotti (PSI)2
    • Rajmund Mokso (Lund University)2
    • Show N_FILTERS more

Workflows

Create workflow

Target audience: research data scientist

and Keywords: Pulmonary arterial hypertension

2 workflows found
  • Full-field Tomography at PSI

    This workflow has some details on the instrument the data is produced from (TOMCAT beamline) and the infrastructure PSI has concerning their data.
    If you are more interested in the science and want to reproduce the data and not bother with the surrounding details/context, please refer to the <a...

  • Pulmonary arterial hypertension research

    This training workflow shows the combination of the demonstrations from the ExPaNDS mid-term review.

    The workflow consist of three steps:

    • Basic material to introduce the problem,
    • The associated dataset with the related scientific publication and
    • Source code and reference to the...
Training eSupport System
pan-training@hzdr.de
Contribute
About PaN-Training
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.1
Source code
API documentation

The training portal for the photon & neutron community is supported through the European Union's Horizon 2020 research and innovation programme, under grant agreement 857641, 823852 and the consortium DAPHNE4NFDI in the context of the work of the NFDI e.V. under the DFG - project number 460248799.