1. ABOUT THE DATASET
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Title: SPSS Arab Coalitions Dataset	
Creator(s): Hendrik Kraetzschmar (1); Francesco Cavatorta (2)
Organisation(s): University of Leeds, United Kingdom (1); Laval University, Canada (2)
Rights-holder(s): Unless otherwise stated, Copyright 2022 University of Leeds
Publication Year: 2023
Description: This database covers a total of 60 multiparty coalition governments formed in the countries of the Arab Middle East between 1990 and 2022. It includes coalition events in Algeria, Iraq, (Iraqi Kurdistan), Egypt, Lebanon, Libya, Mauritania, Morocco, Palestine, Syria, Tunisia and Yemen. Amongst others, the dataset comprises information on coalition start/end dates, duration in days, periods of caretaker governance, coalition size, ideological composition and causes for coalition termination.   
Cite as: Hendrik Kraetzschmar and Francesco Cavatorta, 2023. SPSS Arab Coalitions Dataset. University of Leeds. [Dataset] https://doi.org/10.5518/1291. 
Related publication: Kraetzschmar, H. and F. Cavatorta (2023). ‘Multiparty Cabinets and Coalition Governance in the Arab Middle East and North Africa.’ Middle East Law and Governance (accepted; forthcoming). 
Contact: Hendrik Kraetzschmar: h.j.kraetzschmar@leeds.ac.uk 

2. TERMS OF USE
Copyright 2023. University of Leeds, Hendrik Kraetzschmar. Unless otherwise stated, this dataset is licensed under a Creative Commons Attribution 4.0 International Licence: https://creativecommons.org/licenses/by/4.0/.

4. CONTENTS
File listing: The dataset is listed under the name “Hendrik Kraetzschmar and Francesco Cavatorta, 2023. SPSS Arab Coalitions Dataset. University of Leeds” and comprises a single SPSS/.csv file. 
The dataset can be accessed either via the SPSS software or as a plain text file (CSV). 
All coding for the predictor variables in the dataset can be accessed under ‘variable view’ in SPSS. 
For the Waghef II government in Mauritania, there is no data on the left-right cleavage in government.  

5. METHODS
The numerical data was collected by the authors from open-access secondary source materials and collated as an SPSS dataset.