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 ## About Shire
 
 SHIRE (**S**usceptibility **H**azard mapp**I**ng f**R**am**E**work) is a tool to facilitate and streamline landslide susceptibility and hazard mapping using a Random Forest classifier. It provides support for repetitive steps in landslide susceptibility and hazard mapping such as input dataset generation including data pre-processing. 
-It is a Python-based modular framework that can be complemented with individual modules necessary for answer individual mapping challenges due to the open-access nature of the code.
+It is a Python-based modular framework that can be complemented with individual modules necessary for answering individual mapping challenges due to the open-access nature of the code.
 
 Shire was developed as part of the [KISTE Project](https://kiste-project.de/) 
 
@@ -192,7 +192,25 @@ Project Link: [KISTE Project](https://kiste-project.de/)
 
 ## Cite as
 
-Edrich A., Yildiz A., Kowalski J. (2024) Susceptibility and Hazard Mapping Framework SHIRE [Software]. DOI: https://git-ce.rwth-aachen.de/mbd/shire
+Edrich A., Yildiz A., Kowalski J. (2024) Landslide Susceptibility and Hazard Mapping Framework SHIRE [Software]. https://git-ce.rwth-aachen.de/mbd/shire
+
+@misc{shire,
+  author = {Edrich, Ann-Kathrin and Yildiz, Anil and Kowalski, Julia},
+  title  = {{Landslide Susceptibility and Hazard Mapping Framework SHIRE [Software]}},
+  year   = {2024},
+  note   = {Access under \url{https://doi.org/10.6084/m9.figshare.24339643}},
+}
+
+Corresponding publications:
+Edrich A., Yildiz A., Roscher R., Bast A., Graf F., Kowalski J. (2024) A modular framework for FAIR shallow landslide susceptibility mapping based on machine learning. Natural Hazards 120, 8953–8982. https://doi.org/10.1007/s11069-024-06563-8
+
+@article{edrich2024modular,
+  title   = {{A modular framework for FAIR shallow landslide susceptibility mapping based on machine learning}},
+  author  = {Edrich, Ann-Kathrin and Yildiz, Anil and Roscher, Ribana and Kowalski, Julia},
+  journal = {Natural Hazards},
+  year    = {2024},
+  doi     = {https://doi.org/10.1007/s11069-024-06563-8}
+}
 
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