Date: June 2022

Short description: This dataset contains the underlying data (portfolio analysis runs) for the articles of Van de Ven et al. (2022) in One Earth (link).

Authors: Van de Ven, Dirk; Nikas, Alexandros; Koasidis, Konstantinos; Forouli, Aikaterini; Cassetti, Gabriele; Chiodi, Alessandro; Gargiulo, Maurizio; Giarola, Sara; Koberle, Alexandre C.; Koutsellis, Themistoklis; Mittal, Shivika; Perdana, Sigit; Vielle, Marc; Xexakis, Georgios; Doukas, Haris; Gambhir, Ajay

License: Creative Commons Attribution 4.0 International (CC BY 4.0)

Link: https://doi.org/10.5281/zenodo.6998390


Date: October 2022

Short description: This dataset contains the underlying data (Augmecon-Py data) for the journal article by Forouli et al., 2022 published in SoftwareX in October 2022 (link).

Authors: Forouli, Aikaterini; Pagonis, Anastasios; Nikas, Alexandros; Koasidis, Konstantinos; Xexakis, Georgios; Koutsellis, Themistoklis; Petkidis, Christos; Doukas, Haris

License: Creative Commons Attribution 4.0 International (CC BY 4.0)

Link: https://doi.org/10.5281/zenodo.7271747


Date: May 2020

Short description: This dataset contains the underlying data for an article by Nikas et al. (2020), published in Operational Research (link). Full details of methods used to create the dataset and provided within this publication.

Authors: Nikas, Alexandros; Fountoulakis, Angelos; Forouli, Aikaterini; Doukas, Haris

License: Creative Commons Attribution 4.0 International (CC BY 4.0)

Link: https://doi.org/10.5281/zenodo.4099564


Date: June 2020

Short description: This dataset contains the underlying data for the following publication: Nikas, A., Elia, A., Boitier, B., Koasidis, K., Doukas, H., Cassetti, G., ... & Chiodi, A. (2021). Where is the EU headed given its current climate policy? A stakeholder-driven model inter-comparison. Science of The Total Environment, 148549. https://doi.org/10.1016/j.scitotenv.2021.148549

Authors: Nikas, Alexandros; Elia, Alessia; Boitier, Baptiste; Koasidis, Konstantinos; Doukas, Haris; Cassetti, Gabriele; Anger-Kraavi, Annela; Bui, Ha; Campagnolo, Lorenza; De Miglio, Rocco; Delpiazzo, Elisa; Fougeyrollas, Arnaud; Gambhir, Ajay; Gargiulo, Maurizio; Giarola, Sara; Grant, Neil; Hawkes, Adam; Herbst, Andrea; Koberle, Alexandre C.; Kolpakov, Andrey; Le Mouel, Pierre; McWilliams, Ben; Mittal, Shivika; Moreno, Jorge; Neuner, Felix; Perdana, Sigit P.; Peters, Glen P.; Plotz, Patrick; Rogelj, Joeri; Sognnaes, Ida; Van de Ven, Dirk-Jan; Vielle, Marc; Zachmann, Georg; Zagame, Paul; Chiodi, Alessandro

License: Creative Commons Attribution 4.0 International (CC BY 4.0)

Link: https://doi.org/10.5281/zenodo.5619308


Date: April 2021

Short description: This dataset contains the underlying data for the following publication: Giarola, S., Mittal, S., Vielle, M., Perdana, S., Campagnolo, L., Delpiazzo, E., ... & van de Ven, D. J. (2021). Challenges in the harmonisation of global integrated assessment models: A comprehensive methodology to reduce model response heterogeneity. Science of the Total Environment, 783, 146861. https://doi.org/10.1016/j.scitotenv.2021.146861.

Authors: Giarola, Sara; Mittal, Shivika; Vielle, Marc; Perdana, Sigit; Campagnolo, Lorenza; Delpiazzo, Elisa; Bui, Ha; Anger-Kraavi, Annela; Koplakov, Andrey; Sognnaes, Ida; Peters, Glen; Hawkes, Adam; Köberle, Alexandre; Grant, Neil; Gambhir, Ajay; Nikas, Alexandros; Doukas, Haris; Moreno, Jorge; van de Ven, Dirk-Jan

License: Creative Commons Attribution 4.0 International (CC BY 4.0)

Link: https://doi.org/10.5281/zenodo.5659438