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Training materials

Browse HEP training materials from the HEP Training catalogue.
Scoped to the CERN EOSC Node Space.

28 materials found

INSPIRE HEP Knowledge Base

Beginner

Documentation for INSPIRE HEP

Documentationinspire hepdocumentation
Hands-on reinterpretability: HEPData

Intermediate

This is a practical hands-on for analysis reinterpretability, following the first LHC BSM WG general meeting on Nov 10-13, 2025. The aim is to discuss show-case examples of reinterpretability as well of practical questions for specific analyses participants are working on. This specific session on Nov 13 will focus on preparing the HEPData record for your analyses. Part of the workshops of the LHC REI WG.

Eventshepdatareinterpretabilityhands-onexamples
sPHENIX-Collaboration tutorials HEPData

Intermediate

This short tutorial give a example macro on how to generate HEPData submission using hepdata_lib (https://github.com/HEPData/hepdata_lib/)

Tutorialhepdatagithubsubmission
HEPData Submission

Beginner

Documentation for HEPData

Documentationhepdatadocumentationsubmission
CERNBox Docs

Beginner

Documentation for CERNBox Gitlab link: [https://gitlab.cern.ch/cernbox/webpages/documentation](https://gitlab.cern.ch/cernbox/webpages/documentation)

Documentationcernboxdocumentationstoragecloud
CERNBox quick tutorial for beginners

Beginner

CERNBox quick tutorial for beginners Use CERNBox to store, access and share your files from any web browser. Anyone who has a CERN NICE account has a CERNBox. This is a step-by-step tutorial for you to get started with the basics on using CERNBox. This tutorial is being done on a Windows desktop. In this tutorial you will see how you can: 1. Access your CERNBox via a web browser 2. Upload a file to your CERNBox via the web browser 3. Create a folder in your CERNBox 4. Upload a file in the folder that you have just created 5. Synchronise the files/folders in your CERNBox to your desktop 6. Share a file in your CERNBox with others 7. Share a folder in your CERNBox with others 8. [Optional] Check which folder on your desktop is being synchronised with your CERNBox

Tutorialcernboxtutorialweb browser
CERNBox training

Beginner

Related event: [https://indico.cern.ch/event/1657439/](https://indico.cern.ch/event/1657439/) Is CERNBox part of your daily workflow, and would you like to better understand what happens behind the scenes? Or have you ever wondered what you should (and shouldn’t) do to avoid common pitfalls? This session will explain how CERNBox works, highlight known quirks, and clarify the capabilities and limitations of the different access protocols (sync client, web, H: drive/SAMBA, etc.). We will also provide guidance on how to choose the most appropriate access method for your use case. Finally, this will be the perfect opportunity to ask questions, share feedback, and discuss feature requests directly with the CERNBox team. Overview of the main points covered in the presentation: - CERNBox Service Overview - Quota, data safety - Documentation & support - Access methods: web, sync client, network drive - Spaces (projects) - Sharing - Applications in CERNBox - Conflicts - How to ask for help - DFS migration and differences between DFS and CERNBox - Dos/don’ts - Common issues and how to prevent/resolve them - Discussion – Q&A

Eventscernboxtraining
IT Educational Materials Catalogue – CERNBox

Beginner

Find useful links and e-learning modules about CERNBox here.

E-Learning Modulescernboxstoragecloud
The SWAN Examples

Intermediate

A set of examples for CERN SWAN a Service for Web based ANalysis. With SWAN you can: - Analyse data without the need to install any software - Access via Jupyter notebook interface or a shell from the browser - Use CERNBOX as your home directory and synchronise your local user space with the cloud storage - Access LCG and experiments' software on CVMFS - Share your work with your colleagues thanks to CERNBox - Document and preserve science - create catalogues of analyses: encourage reproducible studies and learning by example

Examplesswananalysesjupyter notebookcernboxcloud
Training

Intermediate

SWAN training material Physics Analysis Use Case The notebooks in this folder guide through an examplary analysis producing a dimuon spectrum from CMS Open Data, both in C++ and Python. The tools used for the analysis include ROOT's RDataFrame and graphics, numpy, pandas and matplotlib, all of them available in SWAN via the LCG releases on CVMFS. This material is based on the analysis done by Stefan Wunsch, available here in CERN's Open Data portal

Github Repositoryswantraining material