| NorDataNet

Editorial, Nature 461, 145 (10. September 2009)

“More and more often these days, a research project’s success is measured not just by the publications it produces, but also by the data it makes available to the wider community.

Pioneering archives such as GenBank have demonstrated just how powerful such legacy data sets can be for generating new discoveries – especially when data are combined from many laboratories and analysed in ways that the original researchers could not have anticipated.”

Noen datasett vil ikke være tilgjenglige fra 08:00 til 14:00 Mandag 27.Mai på grunn av vedlikehold av våres infrastruktur. Fra 18:00 til 22:00 vil også denne portalen være nede på grunn av oppgradering av bakgrunnstjenester. Vi beklager evt. ulemper dette måtte medføre.

Stikkord

Maintenance

Les mer om Vedlikehold av infrastruktur og oppgradering av servere 27.Mai fra 08:00 til 22:00
Logg på eller registrer for å skrive kommentarer

The Galaxy Training Network provides researchers with online training materials, connects them with local trainers, and helps promoting FAIR and Open Science practices worldwide.

Find out more about FAIR data management training: https://training.galaxyproject.org/training-material/learning-pathways/fair-training.html

Stikkord

FAIR

Training

Les mer om RO-Crate Tutorials from the Galaxy Training Network
Logg på eller registrer for å skrive kommentarer

NorDataNet now has a training page where we can provide you will access to data management tutorials and any workshops we might hold in the future:

https://www.nordatanet.no/training

Stikkord

Training

data management

Les mer om Data management training
Logg på eller registrer for å skrive kommentarer

Want to learn how to work with NetCDF files? Know a bit of Python? Maybe this tutorial series can help you.

https://lhmarsden.github.io/NetCDF_in_Python_from_beginner_to_pro/

This course has been designed to help you understand NetCDF files, get data out of them and create your own NetCDF files. You will learn how to plot data from NetCDF files, convert data to CSV, loop through a THREDDS catalogue and access data over the internet using OPeNDAP.

Stikkord

NetCDF

Python

Training