diff --git a/README.md b/README.md
index c9f1dc18c386868b702a37ea796d1d341b6e4664..292291002afed7df9c27600925111dbc0711a0c5 100644
--- a/README.md
+++ b/README.md
@@ -157,7 +157,7 @@ Log into the frontend node `glogin9`. The data for the course lives in `/scratch
 
 This data is reachable from all the Grete-GPUs and the login node `glogin9`. This data is sufficient for running all examples workflows of this repository. 
 
-Our use case is the pre-training of a PointNet[^pointnet] model using synthetic lidar data of forests. The data was generated with [SynForest](https://gitlab-ce.gwdg.de/hpc-team-public/science-domains-blog/-/blob/main/20231204_synforest.md)[^synforest], a workflow developed by us in the project [ForestCare](https://hps.vi4io.org/research/projects/forestcare/start). Using SynForest you can easily generate lidar data of forests that fits your requirements.
+Our use case is the pre-training of a PointNet[^pointnet] model using synthetic lidar data of forests. The data was generated with [SynForest](https://gitlab-ce.gwdg.de/hpc-team-public/science-domains-blog/-/blob/main/20231204_synforest.md), a workflow developed by us in the project [ForestCare](https://hps.vi4io.org/research/projects/forestcare/start). Using SynForest you can easily generate lidar data of forests that fits your requirements.
 
 [^pointnet]: Qi et al. (2017) PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation (https://github.com/charlesq34/pointnet)