Some software packages require certain settings in your user environment, like paths and environment variables. Instead of doing all of this by hand in your .bash_profile or .login, you can use the modules package to set up the appropriate user environment for you.
NOTE: some packages made available with the modules are also available in the standard directories. For example: there exists a file /usr/lib/libfftw3.so and there is also a module for the fftw3 library. The cause is that the installation of certain packages demand the installation of other packages (for example: the package scipy (scientific python) depends on the package fftw). This can be misleading and give rise to strange problems, but there are some reasons to provide the modules anyway:
* bash: . /sara/sw/modules/module/init/bash * csh: source /sara/sw/modules/module/init/csh * tcsh: source /sara/sw/modules/module/init/tcsh
The SURFsara Data Archive allows the user to safely archive up to petabytes of valuable research data.
Persistent identifiers (PIDs) ensure the findability of your data. SURFsara offers a PID provisioning service in cooperation with the European Persistent Identifier Consortium (EPIC).
B2SAFE is a robust, secure and accessible data management service. It allows common repositories to reliably implement data management policies, even in multiple administrative domains.
The grid is a transnational distributed infrastructure of compute clusters and storage systems. SURFsara is active as partner in various...
Spider is a dynamic, flexible, and customizable platform locally hosted at SURF. Optimized for collaboration, it is supported by an ecosystem of tools to allow for data-intensive projects that you can start up quickly and easily.
The Data Ingest Service is a service provided by SURFsara for users that want to upload a large amount of data to SURFsara and who not have the sufficient amount...
The Collaboratorium is a visualization and presentation space for science and industry. The facility is of great use for researchers that are faced with...
Data visualization can play an important role in research, specifically in data analysis to complement other analysis methods, such as statistical analysis.