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

    • Scientific topic
    • Data management2
    • FAIR data2
    • Findable, accessible, interoperable, reusable data2
    • Metadata management2
    • Research data management (RDM)2
    • Algorithms1
    • Computer programming1
    • Data structures1
    • Programming languages1
    • Software development1
    • Software engineering1
    • Show N_FILTERS more
    • Tool
    • RStudio2
    • Show N_FILTERS more
    • Content provider
    • Elixir TeSS2
    • Show N_FILTERS more
    • Keyword
    • README
    • CONVERGE9
    • Data management9
    • FAIR5
    • Python4
    • Open science3
    • RStudio3
    •   data analysis library pandas3
    • data organisation2
    • - teach students data modelling1
    • -ikon/tree/master/notebooks1
    • -learning platform hosts free education1
    • API1
    • Clinical data1
    • Controlled vocabularies1
    • Data Stewardship Wizard1
    • Data analysis1
    • Data management plan1
    • Data visualisation1
    • Foundations of Data Science1
    • Genome sequencing1
    • IMPC1
    • International Mouse Phenotyping Consortium1
    • Interoperability1
    • Knowledge graph1
    • LOINC1
    • McStas1
    • McXtrace1
    • Mouse phenotypes1
    • Programmatic access1
    • QENS1
    • Query data1
    • R1
    • RDF1
    • SNOMED CT1
    • SPARQL1
    • SQL1
    • Sequence alignments1
    • _a_small_angle_neutron_scattering_instrument ill youtube videowww1
    • analyse experimental data1
    • conducting massive open online courses1
    • cosmic ray muons module1
    • cultural heritage short test1
    • extract key length scales1
    • fr/computing/scientific/crispy/github page1
    • gain knowledge basic knowledge1
    • ggPlot1
    • hercules 2022 oasys tutorial written1
    • hifi muon instrument courtesy1
    • id=19 sans simulation tool1
    • improve online material1
    • include common scientific python modules1
    • io/en/latest/include/introduction1
    • isis virtual reflectometry training1
    • jupyter-notebook1
    • large scale facilities1
    • learn basic data analysis1
    • making online learning material1
    • manuel sanchez del rio1
    • markus strobl - erice 20171
    • master level physics students1
    • mcstas script extras scipp1
    • mcstas simulation tool1
    • metadata1
    • muon data analysis modules1
    • muon spin relaxation1
    • muon spin spectroscopy1
    • neutron1
    • neutron scattering1
    • neutron scattering requires large scale facilities1
    • neutron simulation1
    • ontologies1
    • paolo mariani - sisn 2015francesco spinozzi - sisn 2015leonardo chiappisi - bilbao neutron scattering school 2019adel len - cets 2019g1
    • providing high quality feedback1
    • python based mcstas script1
    • pépy - cets 2019wim bouwman - erice 20171
    • real raw data key resources1
    • recommend open broadcasting software1
    • running wget inside notebook1
    • sans case study1
    • sans wiki simulation project1
    • sanssimplespheres pan-learning wiki pagehttps1
    • simulation1
    • uwe keiderling - berlin neutron scattering schoolmartin müller - hercules 2016frank gabel - hercules 2016marianne liebi - hercules 20161
    • video editing software1
    • virtually explore large scale facility instruments1
    • x-ray simulation1
    •   analyse sas test data1
    •   mac os      windows os      linux os      dockerthis1
    •   sequence data types1
    •  - polydispersity - resolution - interparticle interaction1
    • ‘cosmic ray muons1
    • ‘muon data analysis1
    • Show N_FILTERS more
    • Difficulty level
    • Beginner2
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution Share Alike 4.0 International2
    • Show N_FILTERS more
    • Target audience
    • PhD candidates2
    • Researcher in life sciences2
    • Scientists2
    • Show N_FILTERS more
    • Author
    • Erik Hedman2
    • Markus Englund1
    • Wolmar Nyberg Åkerström1
    • Show N_FILTERS more
    • Contributor
    • Elin Kronander2
    • Mattias Strömberg2
    • Niclas Jareborg2
    • Stephan Nylinder2
    • Yvonne Kallberg2
    • Markus Englund1
    • Wolmar Nyberg Åkerström1
    • Show N_FILTERS more
    • Resource type
    • e-learning
    • lessons2
    • Show N_FILTERS more
    • Related resource
    • The Carpentries2
    • GitHub1
    • Show N_FILTERS more
    • Status
    • Active2
    • Show N_FILTERS more
  • Show materials from all spaces
  • Show disabled materials
  • Hide materials with broken links
  • Show archived materials
    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month

Training materials

  • Subscribe via email

Email Subscription

Register training material

Keywords: README

and Resource type: e-learning

and Include broken links: true

2 materials found
  • e-learning, lessons

    Introduction to Data Management Practices - Introduction to RStudio

    • beginner
    Data management FAIR data CONVERGE README RStudio
  • e-learning, lessons

    Introduction to Data Management Practices - Versioning of data and code using Git

    • beginner
    Data management FAIR data Software engineering CONVERGE README RStudio
Training eSupport System
pan-training@hzdr.de
Imprint
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, 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.