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Comma Separated Values - 18.0 KB - MD5: 00ad32c04936b39ae44a9cba4d808e75
extracted_keyword_list.csv
Comma Separated Values - 203.0 KB - MD5: 2830a35ff63ce3496c826baf52cb515d
extracted_keyword_list_validated_with_match.csv
Plain Text - 10.3 KB - MD5: f994fda1f19cee57cd581ddc99d63909
ReadMe file.txt
Python Source Code - 9.8 KB - MD5: d79127f7b841300c93895d02c37250b9
r_strategy_dictionary_automated_llm_validation.py
Plain Text - 9.8 KB - MD5: d79127f7b841300c93895d02c37250b9
r_strategy_dictionary_automated_llm_validation.txt
Adobe PDF - 123.0 KB - MD5: eb7fe2b24fa0ee17967312934453dbdc
User_manual_dictionary_automated_llm_validation.pdf
Nov 19, 2025
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
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 conversi...
Plain Text - 20.2 KB - MD5: 0cdeded244b91011525a9a4fc0fb4c28
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