docs: improve readme

Readme.md

@@ -9,10 +9,6 @@ Mobile Cartography Jupyter Lab Workshop.
 
 ------
 
-> :warning: Unfortunately, the ZIH is in the midst of migration from `Taurus` system to `Barnard`. You
-> can run the workshop in both systems, but the startup is a little bit different between the two. We
-> do not know whether or how long Taurus will be available in 2024, so please try to use this only as a fallback.
-
 ## Preparations
 
 1. If working from remote: Make sure to connect to TUD network using [a VPN connection][cisco-zih] (Cisco VPN or OpenVPN), otherwise you will not be able to use any of ZIH HPC Services  
@@ -42,24 +38,8 @@ Afterwards, once the notebook has opened:
 
 ## Manual startup
 
-3. [Login to HPC][login-zih-link]
-    - You'll be requested to login using your TUD Account
-4. Select `Barnard - 2 core, 3G, 4 hours` or `Romeo - 2 core, 3G, 4 hours`
-5. **Click Start** to spawn a Jupyter Lab instance on the TUD ZIH Jupyter Hub.
-6. Clone the workshop files
-   - Once JupyterHub started, open a new empty Python Notebook with click on the following icon:  
-      ![Startup Jupyter Hub](resources/python_jup.webp)
-    - .. and copy &paste the following command in the first cell:
-    ```bash
-    !cd /home/$USER && \
-        git clone https://gitlab.hrz.tu-chemnitz.de/tud-ifk/jupyter_python_datascience.git
-    ```
-    - run with <kbd>SHIFT+Enter</kbd>  
-      ![Startup Jupyter Hub](resources/clone.webp)
-    - this will download the workshop material to your local user folder (explorer on the left side)
-    - in the explorer on the left, open the file `jupyter_python_datascience/notebooks/01_raw_intro.ipynb`  
-      ![Startup Jupyter Hub](resources/notebook_jup.webp)
-        - and start following the instructions  
+See [00_manual.md](resources/faq/00_manual.md) with a description to start Jupyter Hub manually,
+without the spawn link.
 
 ## FAQ
 
@@ -81,7 +61,7 @@ Please click on the links below to see possible routes to solve these issues.
 4. [04_topic_classification.html](https://kartographie.geo.tu-dresden.de/ad/jupyter_python_datascience/04_topic_classification.html)
 
 [login-zih-link]: https://jupyterhub.hpc.tu-dresden.de/hub/
-[spawn-zih-link]: https://jupyterhub.hpc.tu-dresden.de/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgitlab.hrz.tu-chemnitz.de%2Ftud-ifk%2Fjupyter_python_datascience.git&branch=main&urlpath=lab%2Ftree%2Fjupyter_python_datascience.git%2Fnotebooks%2F01_raw_intro.ipynb#/~(cluster~'barnard~project~'p_lv_mobicart_2425~runtime~'2*3a30*3a00~cpuspertask~'2~mempercpu~'4096)
-[spawn-zih-link2]: https://jupyterhub.hpc.tu-dresden.de/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgitlab.hrz.tu-chemnitz.de%2Ftud-ifk%2Fjupyter_python_datascience.git&branch=main&urlpath=lab%2Ftree%2Fjupyter_python_datascience.git%2Fnotebooks%2F01_raw_intro.ipynb#/~(cluster~'romeo~project~'p_lv_mobicart_2425~runtime~'2*3a30*3a00~cpuspertask~'2~mempercpu~'2583)
+[spawn-zih-link]: https://jupyterhub.hpc.tu-dresden.de/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgitlab.hrz.tu-chemnitz.de%2Ftud-ifk%2Fjupyter_python_datascience.git&branch=main&urlpath=lab%2Ftree%2Fjupyter_python_datascience.git%2Fnotebooks%2F01_raw_intro.ipynb#/~(cluster~'barnard~nodes~'2~project~'p_lv_mobicart_2425~runtime~'2*3a30*3a00~cpuspertask~'2~ntasks~'2~mempercpu~'4096)
+[spawn-zih-link2]: https://jupyterhub.hpc.tu-dresden.de/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgitlab.hrz.tu-chemnitz.de%2Ftud-ifk%2Fjupyter_python_datascience.git&branch=main&urlpath=lab%2Ftree%2Fjupyter_python_datascience.git%2Fnotebooks%2F01_raw_intro.ipynb#/~(cluster~'romeo~nodes~'2~project~'p_lv_mobicart_2425~runtime~'2*3a30*3a00~cpuspertask~'2~ntasks~'2~mempercpu~'2583)
 [static-gl-url]: https://gitlab.hrz.tu-chemnitz.de/tud-ifk/jupyter_python_datascience
 [cisco-zih]: https://tu-dresden.de/zih/dienste/service-katalog/arbeitsumgebung/zugang_datennetz/vpn?set_language=de

resources/faq/00_manual.md

+## Manual startup
+
+3. [Login to HPC][login-zih-link]
+    - You'll be requested to login using your TUD Account
+4. Select `Barnard - 2 core, 3G, 4 hours` or `Romeo - 2 core, 3G, 4 hours` and `p_lv_mobicart_2425` as the project name.
+5. **Click Start** to spawn a Jupyter Lab instance on the TUD ZIH Jupyter Hub.
+6. Clone the workshop files
+   - Once JupyterHub started, open a new empty Python Notebook with click on the following icon:  
+      ![Startup Jupyter Hub](resources/python_jup.webp)
+    - .. and copy &paste the following command in the first cell:
+    ```bash
+    !cd /home/$USER && \
+        git clone https://gitlab.hrz.tu-chemnitz.de/tud-ifk/jupyter_python_datascience.git
+    ```
+    - run with <kbd>SHIFT+Enter</kbd>  
+      ![Startup Jupyter Hub](resources/clone.webp)
+    - this will download the workshop material to your local user folder (explorer on the left side)
+    - in the explorer on the left, open the file `jupyter_python_datascience/notebooks/01_raw_intro.ipynb`  
+      ![Startup Jupyter Hub](resources/notebook_jup.webp)
+        - and start following the instructions  
+
+[login-zih-link]: https://jupyterhub.hpc.tu-dresden.de/hub/
\ No newline at end of file