Supporting Dataset for “Global evidence map of feedstock portfolios in biomass- and waste-to-X technologies”

Version 1.0
Barahmand, Zahir, 2026, "Supporting Dataset for “Global evidence map of feedstock portfolios in biomass- and waste-to-X technologies”", https://doi.org/10.18710/ZB68UG, DataverseNO, V1
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Description
This dataset supports a global evidence map of feedstock portfolios reported across biomass- and waste-to-X conversion technologies. It contains technology-specific labelled feedstock datasets, reference-record datasets with assigned record IDs, summary distributions and shares in Excel and CSV formats, files mapping absolute-hazard feedstocks to List of Waste (LoW) codes, a reference LoW classification file, and supplementary tables associated with the study. Together, these files make feedstock assumptions, label assignments, hazard-related classification, and supporting evidence explicit, auditable, and reusable for comparative sustainability analysis, policy interpretation, and future method development. (2026-03-02)
Subject Earth and Environmental Sciences; Engineering
Keyword circular economy, waste-to-X, evidence map, feedstock, sustainable development, pyrolysis, fermentation, gasification, aerobic digestion, anaerobic digestion, torrefaction, transesterification
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CC BY 4.0

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00_ReadMe.txt
Plain Text - 6.0 KB
Published Mar 2, 2026
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MD5: d59a94da9454d4c9a62494c783308903
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absolute_hazard_feedstocks_LoW_mapping.csv
Comma Separated Values - 11.7 KB
Published Mar 2, 2026
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MD5: afe7b33aa6652a62d70f411106fdac5c
CSV version of the mapping of absolute-hazard feedstock entries to List of Waste (LoW) codes. The file links feedstock items to 2-digit, 4-digit, and 6-digit LoW categories, together with renewability classification, hazard-assignment basis, and entry type. Provided for machine-readable reuse and computational analysis.
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absolute_hazard_feedstocks_LoW_mapping.xlsx
MS Excel Spreadsheet - 16.3 KB
Published Mar 2, 2026
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MD5: 3f5c635940f41a62629b1b0959217ced
Excel file containing the mapping of absolute-hazard feedstock entries to List of Waste (LoW) codes. The file links feedstock items to 2-digit, 4-digit, and 6-digit LoW categories, together with renewability classification, hazard-assignment basis, and entry type. It supports hazard-related interpretation and traceable classification of feedstocks in the evidence-mapping workflow.
feedstock_annalysis_labeling_distributions.csv
Comma Separated Values - 5.7 KB
Published Mar 2, 2026
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MD5: e421f3abae7d767c7d9a74025174f021
CSV version of the summary distributions and percentage shares of feedstock labels across the analysed technology corpora. Provided for machine-readable reuse.
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feedstock_annalysis_labeling_distributions.xlsx
MS Excel Spreadsheet - 26.3 KB
Published Mar 2, 2026
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MD5: 06694e88517761c1e30665675eaaf62b
Excel file containing summary distributions and percentage shares of feedstock labels across the analysed biomass- and waste-to-X technology corpora.
feedstock_labels_final.zip
ZIP Archive - 1.3 MB
Published Mar 2, 2026
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MD5: b662b91ccaed54ce6921eacd00617a9d
ZIP archive containing the final labelled feedstock datasets for each technology corpus. Each file includes the curated label assignments used in the global evidence map. Derived from: Barahmand, Zahir, 2026, Label system, dictionaries, and audit evidence for harmonised over 133,000 feedstock items across major conversion technologies, DataverseNO, V1, https://doi.org/10.18710/WEZMJE.
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list_of_waste_LoW.csv
Comma Separated Values - 63.7 KB
Published Mar 2, 2026
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MD5: 3dc4f445c40ee829dda0b9bc1aec730b
CSV reference file containing the List of Waste (LoW) classification used in the hazard-mapping workflow. The file provides the coding structure and category labels used to assign and interpret LoW-based hazard classifications for relevant feedstock entries.
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references_record_id.zip
ZIP Archive - 60.9 MB
Published Mar 2, 2026
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MD5: b6f0b648621260e047ab6f23d9172637
ZIP archive containing technology-specific reference-record datasets with assigned record IDs. Each file includes the following fields: record_id, article_title, year, source_title, doi, abstract, author_keywords, publisher, language, and document_type. These files support traceability of the retrieved literature used in the evidence-mapping workflow. Derived from: 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; Barahmand Zahir; Eikeland Marianne Sørflaten, 2025, "Dataset and code supplement: Mapping gasification technologies and feedstocks with a dual validated large-scale literature-derived dataset", https://doi.org/10.23642/USN.30546347, DataverseNO, V1; Barahmand Zahir, 2025, "Supplementary code and curated data for 1,863 experimental gasification studies (laboratory to commercial scale)", https://doi.org/10.23642/USN.30702092, DataverseNO, V1
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supplementary_tables.zip
ZIP Archive - 386.8 KB
Published Mar 2, 2026
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MD5: ddde7efbb81cc189da1487f716197bb8
ZIP archive containing Supplementary Tables 1–4 (.docx/pdf) associated with the study. These tables provide supporting structured information referenced in the manuscript and are supplied as separate Word files for repository access and review.
Preview "supplementary_tables.zip"
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