fix module 5 data for the exercises

content/Modul_5/en_qgis_spatial_tools.md

@@ -26,7 +26,12 @@ Information on road infrastructure for humanitarian aid operations is of great i
 
 ### Exercise: Clipping a roads layer to administrative boundaries
 
-1. Load the OSM roads data from the [HOT Export tool](https://export.hotosm.org/v3/exports/918cf68d-dfd7-40f1-ab46-4f0426dfaf68/) (part of the Humanitarian OpenStreetMap Team) as a new layer: __Road_infrastructure_Sudan.geojson__.
+1. Load the OSM roads data from the [HOT Export tool](https://export.hotosm.org/v3/exports/918cf68d-dfd7-40f1-ab46-4f0426dfaf68/) (part of the Humanitarian OpenStreetMap Team) as a new layer: __Road_infrastructure_Sudan.geojson__. 
+
+```{attention}
+The download seems to be broken from the HOT Export Tool. Alternatively, you can download the road network for Sudan [here](https://nexus.heigit.org/repository/gis-training-resource-center/Modul_5/Spatial_geodataprocessing/hotosm_sdn_roads_lines_shp.zip)
+
+```
 
 ```{figure} /fig/en_screenshot_hot_export_tool.PNG
 ---
@@ -37,7 +42,7 @@ Screenshot of the HOT Export tool to download your OSM data
 ```
 
 2. Filter the layer by using the __query builder__ to only show __primary and residential roads__ ("highway" = 'primary' OR "highway" = 'residential')
-3. Load the admin1 layer for Sudan which contains the district White Nile, __ne_10m_admin_1_Sudan_White_Nile.geojson__. They are downloaded and adapted from [Natural Earth Data](https://www.naturalearthdata.com/downloads/10m-cultural-vectors/).
+3. Load the admin1 layer for Sudan which contains the district White Nile, __ne_10m_admin_1_Sudan_White_Nile.geojson__. They are downloaded from [Natural Earth Data](https://www.naturalearthdata.com/downloads/10m-cultural-vectors/).
 4. Select the roads layer and open the __Clip__ dialogue from Vector > Geoprocessing Tools
     - Set roads as the __input layer__ and the district boundaries of White Nile as the __overlay layer__
     - Click __Run__ to generate a temporary layer called Clipped

content/Modul_5/en_qgis_spatial_tools_ex1.md

@@ -11,10 +11,14 @@ Become familiar with different types of spatial analysis and geoprocessing tools
 * [Categorized classification](https://giscience.github.io/gis-training-resource-center/content/Wiki/en_qgis_categorized_wiki.html)
 
 ### Data
-Download all datasets and save the folder on your computer and unzip the file. The zip folder includes:
+
+Download the datasets [here](https://nexus.heigit.org/repository/gis-training-resource-center/Modul_5/Modul_5_Exercise1_Healthsite_distribution_Saint_Louis_region/Modul5_Exercise1_Healthsite_distribution_Saint_Louis_region.zip) and unzip the files.
+
+
+<!---Download all datasets and save the folder on your computer and unzip the file. The zip folder includes:
 - `sen_healthsites.shp`: [Senegal healthsites data](https://data.humdata.org/dataset/senegal-healthsites)
 - `sen_admbnda_adm1_1m_gov_ocha_20190426.shp`: [Senegal boundary data (Admin level 1)](https://data.humdata.org/dataset/senegal-administrative-boundaries)
-- `EO4SD_SAINT_LOUIS_FLOOD_2018.shp`: [Saint Louis flood extend data](https://wbwaterdata.org/dataset/saint-louis-senegal-flood-risk-map-esa-eo4sd-urban)
+- `EO4SD_SAINT_LOUIS_FLOOD_2018.shp`: [Saint Louis flood extend data](https://wbwaterdata.org/dataset/saint-louis-senegal-flood-risk-map-esa-eo4sd-urban)-->
 
 ```{Hint}
 All files still have their original names. However, feel free to modify their names if necessary to identify them more easily.