Linting. Removed 'test' entry in table

doc.zih.tu-dresden.de/docs/access/jupyterhub.md

@@ -221,7 +221,6 @@ As of july 2022 we have a number of standard environments, namely:
 | scs5_gcccore-10.2.0_python-3.8.6                           | x86_64 (Intel)  |                           |
 | scs5_gcccore-10.3.0_python-3.9.5_matlab-2021b              | x86_64 (Intel)  | matlab                    |
 | scs5_gcccore-8.3.0_python-3.7.4                            | x86_64 (Intel)  |                           |
-| test                                                       | x86_64, ppc64le |                           |
 
 With these **standard environments** we have tried to integrate a set of compatible software:
 
@@ -282,5 +281,5 @@ Each box therein represents a so called 'Kernel'
 but similarly provide basic functionality for running your use cases,
 e.g. Python or R)
 
-You can find further documentation on creating your own Kernels [here](/access/jupyterhub_custom_environments)
+You can find further documentation on creating your own Kernels [here](./jupyterhub_custom_environments.md)
 

doc.zih.tu-dresden.de/docs/access/jupyterhub_custom_environments.md

@@ -17,6 +17,7 @@ will work. Depending on that hardware, allocate resources as follows.
 ## Preliminary Steps
 
 === "Nodes with x86_64 (Intel) CPU"
+
     Use **one srun command** of these:
 
     ```console
@@ -25,7 +26,9 @@ will work. Depending on that hardware, allocate resources as follows.
     maria@login$ srun --partition=gpu2 --pty --ntasks=1 --cpus-per-task=2 \
      --mem-per-cpu=2541 --time=08:00:00 bash -l
     ```
+
 === "Nodes with x86_64 (AMD) CPU"
+
     Use **one srun command** of these:
 
     ```console
@@ -34,7 +37,9 @@ will work. Depending on that hardware, allocate resources as follows.
     maria@login$ srun --partition=alpha --gres=gpu:1 --pty --ntasks=1 \
      --cpus-per-task=6 --mem-per-cpu=10312 --time=08:00:00 bash -l
     ```
+
 === "Nodes with ppc64le CPU"
+
     ```console
     maria@login$ srun --pty --partition=ml --ntasks=1 --cpus-per-task=2 --mem-per-cpu=1443 \
      --time=08:00:00 bash -l