Dataset: Quantifying Uncertainty in Catalyst Activity and Deactivation during CO2 Hydrogenation via Round-Robin Testing for Data-Driven Modeling

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Authors: Selin Bac, Dongjae Shin, Seunghwa Hong, Jake A. Heinlein, Anastassiya Khan, Greg Barber, Zhihengyu Chen, Michael Mirabueno Albrechtsen, Christopher J. Tassone, Robert M. Rioux, Matteo Cargnello, Simon R. Bare
+3 more Kirsten T. Winther, Phillip Christopher, Adam S. Hoffman
Cited by: 1

Abstract

Source data for the following publication: Quantifying uncertainty in catalyst activity and deactivation during CO2 hydrogenation via round-robin testing for data-driven modelling, Nature Catalysis, 2026. Dataset 1 – Full Round-Robin Dataset (Fig2-5.zip): This dataset contains all measurements from the four laboratories, including catalyst reactivity and associated experimental metadata. It supports the results presented in Figs. 2–5 of the manuscript. Dataset 2 – Low-Conversion Dataset (Fig6.zip): This dataset contains measurements under low-conversion conditions, including catalyst reactivity and associated experimental metadata. It supports the results presented in Fig. 6 of the manuscript.

Publication details

Publication date
1 January 2026
Document type
Dataset