Add FAQ and --no-update-deps

content/FAQ/_index.md

@@ -19,6 +19,7 @@ weight = "95"
 - [What IP's do I use to allow connections to/from HCC resources?](#what-ip-s-do-i-use-to-allow-connections-to-from-hcc-resources)
 - [Why my job is showing (ReqNodeNotAvail, Reserved for maintenance) before a downtime?](#why-my-job-is-showing-reqnodenotavail-reserved-for-maintenance-before-a-downtime)
 - [Why my Open OnDemand JupyterLab/Interactive App Session is stuck and is not starting?](#why-my-open-ondemand-jupyterlab-interactive-app-session-is-stuck-and-is-not-starting)
+- [Why I can not access files under shared Attic/Swan Globus Collection?](#why-i-can-not-access-files-under-shared-attic-swan-globus-collection)
 
 ---
 
@@ -257,3 +258,8 @@ The most common reason for this is full `$HOME` directory. You can check the siz
 
 Then, please remove any unnecessary data; move data to [$COMMON or $WORK]({{< relref "../handling_data/" >}}); or [back up important data elsewhere]({{< relref "../handling_data/data_storage/preventing_file_loss.md" >}}).
 If the majority of storage space in `$HOME` is utilized by `conda` environments, please [move the conda environments]({{< relref "../applications/user_software/using_anaconda_package_manager#moving-and-recreating-existing-environment" >}}) or [remove unused conda packages and caches]({{< relref "../applications/user_software/using_anaconda_package_manager#remove-unused-anaconda-packages-and-caches" >}}).
+
+#### Why I can not access files under shared Attic/Swan Globus Collection?
+In some occasions, errors such as _"Mapping collection to specified ID failed."_, may occur when accessing files from shared Attic/Swan Globus Collection. 
+In order to resolve this issue, the owner of the collection needs to login to Globus and activate the `hcc#attic` or `hcc#swan` endpoint respectively. 
+This should reactivate the correct permissions for the collection.

content/applications/user_software/using_anaconda_package_manager.md

@@ -315,10 +315,15 @@ Then, you can install the additional packages you need in this environment.
 {{< highlight bash >}}
 module load anaconda
 conda activate tensorflow-gpu-2.15-custom
-conda install <packages>
+conda install --no-update-deps <packages>
 {{< /highlight >}}
 {{% /panel %}}
 
+{{% notice info %}}
+When installing packages in existing/cloned environment, please use `--no-update-deps`. 
+This will ensure that already installed dependencies are not being updated or changed.
+{{% /notice %}}
+
 Next, whenever you want to use this custom GPU Anaconda environment, you need to add these two lines in your submit script:
 {{< highlight bash >}}
 module load anaconda