diff --git a/Python/QA-001-Cartopy-Installation-Jet.ipynb b/Python/QA-001-Cartopy-Installation-Jet.ipynb
index 4882fa6034284f5d944e00332c14e9421814aea1..c7537be8580ebee81830d9e80d575e330d96ae92 100644
--- a/Python/QA-001-Cartopy-Installation-Jet.ipynb
+++ b/Python/QA-001-Cartopy-Installation-Jet.ipynb
@@ -7,9 +7,11 @@
"# Testing Cartopy\n",
"\n",
"Cartopy is a popular plotting library and depends on `geos` and `proj` libraries and therefore need to be linked against these. Currently it is possible to install cartopy in any version you want, using the provided module libraries:\n",
- " - `geos/3.8.1-gcc-8.4.1` or similar using gcc\n",
- " - `proj/8.1.1-gcc-8.4.1` or similar using gcc using cartopy 0.20+\n",
- " - `proj/7.1.0-gcc-8.4.1` or similar using gcc using cartopy <0.20"
+ " - `geos/3.8.1-gcc-8.5.0` or similar using gcc\n",
+ " - `proj/8.1.0-gcc-8.5.0` or similar using gcc\n",
+ " - `proj/7.1.0-gcc-8.5.0` or similar using gcc using cartopy <0.20"
+ " \n",
+ "However, there are still some issues with Cartopy. Please note that its version is `0.XX` that means development and not a stable release."
]
},
{
@@ -22,8 +24,8 @@
"output_type": "stream",
"text": [
"Currently Loaded Modulefiles:\n",
- " 1) anaconda3/2019.10-gcc-8.3.1-tmy5mgp 3) proj/7.1.0-gcc-8.3.1-xcjaco5 \n",
- " 2) geos/3.8.1-gcc-8.3.1-o76leir \n"
+ " 1) anaconda3/2021.05-gcc-8.5.0 3) proj/8.1.0-gcc-8.5.0 \n",
+ " 2) geos/3.8.1-gcc-8.5.0 \n"
]
}
],
@@ -182,7 +184,10 @@
}
],
"source": [
- "!pip install --user cartopy"
+ "# Cartopy 0.20.0 with shapely\n",
+ "!pip install --user cartopy==0.20.0 shapely==1.7.1\n",
+ "# Cartopy 0.20.2 with shapely 1.8.0 (does not work with 1.8.1 or 1.8.2)\n",
+ "# !pip install --user shapely==1.8.0 cartopy"
]
},
{
@@ -195,9 +200,9 @@
],
"metadata": {
"kernelspec": {
- "display_name": "Anaconda3 (2019.10)",
+ "display_name": "Anaconda3 (2021.05) - 3.8.8",
"language": "python",
- "name": "anaconda3"
+ "name": "anaconda32021.05-gcc-8.5.0"
},
"language_info": {
"codemirror_mode": {
@@ -209,7 +214,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.4"
+ "version": "3.8.8"
}
},
"nbformat": 4,
diff --git a/VSC.md b/VSC.md
index cc03a21b7ea5682722b75f949522f76df5cd7c15..7ec6e33d7850164f3fc4cb36b40ccbd4cbb2d87f 100644
--- a/VSC.md
+++ b/VSC.md
@@ -31,13 +31,14 @@ CPU model: Intel(R) Xeon(R) Platinum 8174 CPU @ 3.10GHz
378 GB Memory
```
-We have access to 5 private Nodes of that kind. Check with
+We have access to 5 private Nodes of that kind. We also have access to the jupyterhub on VSC. Check with
```bash
$ sqos
qos_name total used free walltime priority partitions
=========================================================================
- p71386_0384 5 1 4 10-00:00:00 100000 mem_0384
+ jupyter 20 1 19 3-00:00:00 1000 jupyter
+ p71386_0384 5 0 5 10-00:00:00 100000 mem_0384
```
## Storage on VSC-4
@@ -67,6 +68,15 @@ home FILESET 62.17G 100G 100G 207.8M none | 631
```
+## Other Storage
+We have access to the Earth Observation Data Center [EODC](https://eodc.eu/data/), where one can find primarily the following data sets:
+- Sentinel-1, 2, 3
+- Wegener Center GPS RO
+
+These datasets can be found directly via `/eodc/products/`.
+
+We are given a private data storage location (`/eodc/private/uniwien`), where we can store up to 22 TB on VSC-4. However, that might change in the future.
+
## Node Information VSC-3
```
CPU model: Intel(R) Xeon(R) CPU E5-2650 v2 @ 2.60GHz