2,191 to 2,200 of 2,247 Results
Comma Separated Values - 52.8 KB -
MD5: 0442e5f782263892ec5c2fca945e13dc
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Comma Separated Values - 56.4 KB -
MD5: 70ee7980cda662799886d584f4738526
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R Syntax - 68.5 KB -
MD5: 14fd0a7bd8471b1e8e1f3ffa22addb6b
script containing all analyses |
Plain Text - 1.4 KB -
MD5: 52652e2a71c68bb9537b7ec8bc73476f
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Jul 29, 2026
Barahmand Zahir, 2025, "Curated data and code for experimental and scale-explicit gasification studies from laboratory to commercial scale", https://doi.org/10.23642/USN.30702092, DataverseNO, V2
DATASET MIGRATED FROM FIGSHARE: This dataset provides a validated, literature-derived resource for mapping experimental and scale-explicit thermochemical gasification research from laboratory to commercial scale. A total of 1,863 unique records entered the metadata extraction and validation workflow. During post-validation scope checking, two recor... |
Jul 29, 2026 -
Curated data and code for experimental and scale-explicit gasification studies from laboratory to commercial scale
Plain Text - 29.2 KB -
MD5: beac17ba61cebb2609e0630e89d267dc
Repository documentation describing the dataset structure, methodology, files, processing workflow and reuse instructions. |
Jul 29, 2026 -
Curated data and code for experimental and scale-explicit gasification studies from laboratory to commercial scale
ZIP Archive - 610.4 KB -
MD5: 32add6b5282e5cb4ef278cfc5ae357c4
Python scripts, example files and user manuals for GPT-4o-mini-assisted extraction of gasification metadata from article titles and abstracts. |
Jul 29, 2026 -
Curated data and code for experimental and scale-explicit gasification studies from laboratory to commercial scale
ZIP Archive - 785.1 KB -
MD5: b0275a6e6786f8aa92e2da611345bf64
Bibliographic records, extracted and validated metadata, manual-curation files, post-validation audits and the final curated gasification dataset. |
Jul 29, 2026 -
Curated data and code for experimental and scale-explicit gasification studies from laboratory to commercial scale
ZIP Archive - 2.1 MB -
MD5: d80e3d36a219b3eb90b27c77e74d5787
Python scripts, example files and user manuals for LLM-assisted validation of extracted gasification metadata and generation of field-level validation flags and suggestions. |
Jul 29, 2026
Barahmand, Zahir, 2026, "Supplementary data and calculation workbooks for: Feedstock Circularity Interest: A diagnostic classification lens for biomass- and waste-to-X technology comparison", https://doi.org/10.18710/2NPL8C, DataverseNO, V2
This dataset supports the manuscript “Feedstock Circularity Interest: A diagnostic lens for biomass- and waste-to-X technology comparison.” The study develops a diagnostic feedstock circularity-interest lens for interpreting circularity claims in biomass- and waste-to-X technologies. The lens classifies reported feedstocks into five tiers according... |
