Training eSupport System
  • Log In
    • Log in with UmbrellaID
    • Log in with Helmholtz AAI
    • Login
  • About
  • Events
  • Materials
  • Workflows
  • Collections
  • Learning paths
  • Spaces
  • Directory
    • Providers

PaN-Training 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. Materials

Filter

  • Sort

  • Filter Clear filters

    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month
    • Scientific topic
    • FAIR data7
    • Findable, accessible, interoperable, reusable data7
    • Data management5
    • Metadata management5
    • Research data management (RDM)5
    • Python3
    • Python program3
    • Python script3
    • py3
    • Active learning2
    • Bayesian methods2
    • Biostatistics2
    • Descriptive statistics2
    • Ensembl learning2
    • Gaussian processes2
    • Inferential statistics2
    • Kernel methods2
    • Knowledge representation2
    • Machine learning2
    • Markov processes2
    • Multivariate statistics2
    • Neural networks2
    • Probabilistic graphical model2
    • Probability2
    • Recommender system2
    • Reinforcement learning2
    • Statistics2
    • Statistics and probability2
    • Supervised learning2
    • Unsupervised learning2
    • Network1
    • Open science1
    • Pathway1
    • Pathway or network1
    • crystallography1
    • inelastic scattering1
    • neutron diffraction1
    • spectroscopy1
    • Show N_FILTERS more
    • Content provider
    • ExPaNDS18
    • Elixir TeSS14
    • Deutsches Elektronen-Synchrotron (DESY)1
    • Digital Research Academy1
    • Helmholtz-Zentrum Dresden-Rossendorf (HZDR)1
    • Show N_FILTERS more
    • Keyword
    • expands12
    • FAIR10
    • FAIR data8
    • wp5-ExPaNDS7
    • Python6
    • wp2-ExPaNDS6
    • Data management5
    • PaNOSC4
    • wp3-ExPaNDS4
    • metadata3
    • ontology3
    • Data science2
    • EOSC2
    • Machine learning2
    • NeXus2
    • Statistics2
    • VISA2
    • data management2
    • data policy2
    • experimental techniques2
    • large dataset2
    • open data2
    • 3Dmagination1
    • Artificial intelligence1
    • COVID research1
    • CrystFEL1
    • D3.21
    • DCAT1
    • DMP1
    • Educational resources1
    • European Photon and Neutron facilities 1
    • McStas1
    • Neutron science1
    • Open Science1
    • PDB1
    • Pathways and Networks1
    • Photon science1
    • Reproducibility1
    • Serial crystallography1
    • TELBE1
    • Training1
    • XChem1
    • XFEL1
    • ab-initio1
    • binder1
    • data correction1
    • data management plan1
    • data processing1
    • defect detection1
    • deliverable1
    • docker container1
    • doi1
    • drug development1
    • experimental lifecycle1
    • figshare1
    • fragalysis1
    • inelastic neutron scattering1
    • machine learning1
    • mapping1
    • neutron1
    • neutron diffraction1
    • neutron scattering1
    • panet1
    • pid1
    • pulsed X-ray beam1
    • remote data analysis services1
    • reproducibility1
    • scientific software1
    • semantic integration1
    • services1
    • shell1
    • simulation1
    • spectroscopy1
    • structural analysis1
    • symposium1
    • tomography1
    • training platform1
    • version control1
    • workflow1
    • zenodo1
    • Show N_FILTERS more
    • Difficulty level
    • Not specified
    • Beginner6
    • Intermediate4
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International
    • License Not Specified213
    • Creative Commons Attribution Share Alike 4.0 International30
    • MIT License24
    • Creative Commons Zero v1.0 Universal3
    • GNU General Public License v3.0 only3
    • Apache License 2.02
    • BSD 3-Clause "New" or "Revised" License2
    • European Union Public License 1.11
    • Show N_FILTERS more
    • Target audience
    • PaN Community9
    • scientists3
    • ExPaNDS and PaNOSC project members2
    • research data scientist2
    • PhD students1
    • data managers1
    • researchers1
    • scientific1
    • Show N_FILTERS more
    • Author
    • Fred Hutch Data Science Lab2
    • SIB Swiss Institute of Bioinformatics2
    • Data Science in Practice1
    • FAIR-by-Design-Methodology1
    • Inria1
    • Kevin Heavey1
    • Neuromatch Academy1
    • Oliver Knodel (HZDR)1
    • Silvan Schön1
    • VIB Technologies: Training material and software projects1
    • feichtingerm1
    • Show N_FILTERS more
    • Contributor
    • Fred Hutch Data Science Lab2
    • SIB Swiss Institute of Bioinformatics2
    • Data Science in Practice1
    • FAIR-by-Design-Methodology1
    • Inria1
    • Kevin Heavey1
    • Neuromatch Academy1
    • Oliver Knodel (HZDR)1
    • VIB Technologies: Training material and software projects1
    • feichtingerm1
    • Show N_FILTERS more
    • Resource type
    • slides9
    • Document7
    • video7
    • git2
    • tool2
    • documenation1
    • workflow1
    • Show N_FILTERS more
    • Related resource
    • 2nd PaN EOSC Symposium6
    • Associated deliverable on the ExPaNDS ontologies2
    • Slides2
    • Booklet of presentations1
    • Browse the PaNET ontology in BioPortal1
    • DCAT V21
    • Jupyter Notebook1
    • McStas1
    • Overview of the Symposium1
    • PaNET ontology documentation1
    • TELBE workflow1
    • Show N_FILTERS more
  • Show materials from all spaces
  • Show disabled materials
  • Hide materials with broken links
  • Show archived materials

Training materials

  • Subscribe via email

Email Subscription

Register training material

Difficulty level: Not specified

and Licence: Creative Commons Attribution 4.0 International

and Include broken links: true

35 materials found
  • NeuromatchAcademy/course-content

    Machine learning Statistics and probability Pathway or network Artificial intelligence Machine learning Pathways and Networks Python Statistics
  • kevinheavey/modern-polars

    Python script Python
  • INRIA/scikit-learn-mooc

    Machine learning Machine learning Python
  • DataScienceInPractice/Site

    Python script Data science Python
  • sib-swiss/intermediate-python-training

    Python script Data science Python
  • sib-swiss/introduction-to-statistics-with-python-training

    Statistics and probability Python Statistics
  • Frontiers | Towards FAIRification of learning resources and catalogues—lessons learnt from research communities

    FAIR data FAIR data
  • FAIR-by-Design Methodology

    FAIR data Educational resources FAIR data Training
  • BES Guide to Reproducible Code

    Open science FAIR data Open Science
  • vib-tcp/rdm-introductory-course

    Data management FAIR data Data management FAIR data Reproducibility
  • 1
  • 2
  • 3
  • 4
Training eSupport System
pan-training@hzdr.de
Imprint
Contribute
About PaN-Training
Browse Spaces
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, the Horizon Europe Framework under grant agreement 101129751, and the consortium DAPHNE4NFDI in the context of the work of the NFDI e.V. under the DFG - project number 460248799.