CO₂-to-X conversion technologies (2020–2025): literature-derived dataset and validation code

Version 1.0
Barahmand Zahir, 2025, "CO₂-to-X conversion technologies (2020–2025): literature-derived dataset and validation code", https://doi.org/10.23642/USN.30627965, DataverseNO, V1
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DATASET MIGRATED FROM FIGSHARE:

This dataset is a literature-derived compilation of CO₂-to-X conversion technologies indexed in the Web of Science Core Collection for the period 2020–2025. It contains structured bibliographic metadata and thematic descriptors for approximately 4,421 peer-reviewed journal and review articles that report the conversion of CO₂ into fuels, chemicals, and materials.

For each record, the dataset includes core bibliographic information (title, journal, publisher, year, DOI) and manually curated thematic variables describing the main reaction type or process mechanism, primary and secondary products, and catalyst characteristics, where applicable. Additional fields identify review articles and record-level relevance flags.

The dataset is provided as Excel spreadsheets, accompanied by Python scripts used for AI-assisted validation of extracted products and catalyst information. It is designed to support bibliometric analyses, technology mapping, and decision-space exploration of CO₂ conversion pathways, and to facilitate integration with techno-economic assessment (TEA), life cycle assessment (LCA), and other decision-support frameworks.


Subject Other
Keyword carbon capture, CCU, carbon utilisation, co2-to-x, carbon mitigation technologies
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