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Tab-Separated Values - 13.6 KB - MD5: 7c0cd08ff5928533d9bea0b057d3413b
Tab-separated data table with usage ratings for epistemic MUSTN'T
Tab-Separated Values - 13.9 KB - MD5: a32870d8bccf9e78870b89d79fc5e77e
Tab-separated data table with usage ratings for YOUSE
Adobe PDF - 978.0 KB - MD5: 9b1d91bf306fae3d0a4696b9a1004926
Brief assessment of whether the open publication of the dataset is aligned with applicable legal and research-ethical rules and guidelines
Adobe PDF - 525.6 KB - MD5: 8c53325cf9e4cf1228e60c28233830bf
Questionnaire used for data elicitation
Jan 16, 2026 - University of South-Eastern Norway
Barahmand, Zahir, 2026, "Supplementary dataset and reproducible codes for LLM-assisted mapping feedstocks of eight conversion technologies from over 121,000 studies", https://doi.org/10.18710/JM6U7B, DataverseNO, V1
This dataset was developed to systematically characterise feedstock–technology relationships across eight major biomass conversion technologies by mining a large Scopus-derived bibliographic corpus (1887–2025; partial coverage for 2025). The workflow is LLM-assisted and fully reproducible, combining automated extraction of feedstock and technology...
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