parametrized even more the path that the JupyterLab kernel will be
created

Add(package) meta-brainscales

See merge request akarmas/ebrains-spack-builds!7

This introduces some LLVM patches to enable code generation via
genpybind.

Add spack package for TVB (tvb-library and tvb-data)

See merge request akarmas/ebrains-spack-builds!6

Add resource-group semaphore to force pipelines to run one after the other to avoid race conditions on the NFS mount

Update README.md

See merge request akarmas/ebrains-spack-builds!5

Move the NFS folder that the configuration of the JupyterLab spackified kernels lie outside a particular environment's location

Update README.md Quickstart instructions to start a notebooks from the JupyterLab kernel made for spack installed software

Transfer to the OpenShift pod that will perform the build, the script needed to create the configuration for the respective spackified JupyterLab kernel

Added create_JupyterLab_kernel.sh script that creates a spackified JupyterLab kernel conf and places it to NFS where it can be loaded by all users based on the instructions contributed by Eric Mueller

Defined some global variables into CI/CD Variables so that a change in them does not result in new commits

fixes to nest package according to @emueller changes in test_brainscales branch (revision required by @terhorst)

Fix typo

See merge request akarmas/ebrains-spack-builds!4

Update NEST package.py

See merge request akarmas/ebrains-spack-builds!3