Introduction The Consequential System of EXIOBASE hybrid is an extended version of EXIOBASE hybrid, a multi-regional hybrid input-output database. This system is particularly notable for its incorporation of models that address indirect land use changes (iLUC) and marginal electricity generation mix, alongside the inclusion of capital goods in its core input-output framework. These extensions enhances the model's capability in assessing long-term environmental consequences of human activities. Indirect land use change (iLUC): The model details land use-related environmental impacts by integrating indirect land use change activity accounting, such as deforestration and intensification, based on Schmidt et al. (2015). The model is first introduced into EXIOBASE by Schmidt & De Rosa (2018). Marginal electricity mix: The model developed a long-term marginal electricity mix based on detailed characteristics of different electricity generation technologies. The underlying methodology is described in Muñoz et al. (2015) and its implementation in EXIOBASE is described in Merciai & Schmidt (2017) Capital endogenization: The model fill the gap in capital goods use by activities by distributing capital goods use to industrial and final demand activities. Data catalog MR_extended_HIOT_2011_v3_3_18_act_emissions is the emission extension. MR_extended_HIOT_2011_v3_3_18_incl_invest is the transaction matrix. MR_extended_HIOT_2011_v3_3_18_incl_invest_FD is the final demand. MR_extended_HIOT_2011_v3_3_18_reference_flow is the reference flow table for matrix normalization. References Merciai, S., & Schmidt, J. (2017). Land Use Change and Electricity Models in a Multi-regional Hybrid Input Output Framework. In 25th IIOA Conference in Atlantic City. https://lca-net.com/files/IIOA-paper-19-23-June-2017_iLUC-and-electricity-models-in-a-multi-regional-HIOT.pdf Muñoz I, Schmidt J, de Saxcé M, Dalgaard R, Merciai S. (2015). Inventory of country specific electricity in LCA – consequential scenarios. Version 3.0. Report of the 2.-0 LCA Energy Club. 2.-0 LCA consultants, Aalborg https://lca-net.com/p/3935 Schmidt, J., Weidema, B. P., & Brandão, M. (2015). A framework for modelling indirect land use changes in Life Cycle Assessment. Journal of Cleaner Production, 99, 230–238. https://doi.org/10.1016/j.jclepro.2015.03.013 Schmidt, J., & De Rosa, M. (2018). Enhancing Land Use Change modelling with IO data. SETAC Europe 28th Annual Meeting. https://lca-net.com/files/SETAC_Rome_Schmidt_DeRosa_Extended-abstract_20180515.pdf