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1,301 to 1,310 of 1,333 Results
data__protection_impact_assessment.pdf
Jan 19, 2026 - Background data for: The morpho-syntax of Scottish Standard English: Questionnaire-based insights
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
full_questionnaire.pdf
Jan 19, 2026 - Background data for: The morpho-syntax of Scottish Standard English: Questionnaire-based insights
Adobe PDF - 525.6 KB - MD5: 8c53325cf9e4cf1228e60c28233830bf
Questionnaire used for data elicitation
Supplementary dataset and reproducible codes for LLM-assisted mapping feedstocks of eight conversion technologies from over 121,000 studies
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...
00_ReadMe.txt
Jan 16, 2026 - Supplementary dataset and reproducible codes for LLM-assisted mapping feedstocks of eight conversion technologies from over 121,000 studies
Plain Text - 20.7 KB - MD5: a40d689a35fc845eb8c6ab7558622d0f
Codes_Py1_Automated_data_extraction_llm.zip
Jan 16, 2026 - Supplementary dataset and reproducible codes for LLM-assisted mapping feedstocks of eight conversion technologies from over 121,000 studies
ZIP Archive - 107.5 MB - MD5: 2792a734810fc784da1561dfbf60ff18
Codes_Py2_Automated_extracted_data_cleaning.zip
Jan 16, 2026 - Supplementary dataset and reproducible codes for LLM-assisted mapping feedstocks of eight conversion technologies from over 121,000 studies
ZIP Archive - 109.3 MB - MD5: 3796e6f20448f0c25e0096af309c4bcb
Codes_Py3_Automated_validation_llm.zip
Jan 16, 2026 - Supplementary dataset and reproducible codes for LLM-assisted mapping feedstocks of eight conversion technologies from over 121,000 studies
ZIP Archive - 116.9 MB - MD5: 2d94fe604f5c14f2265b88ca2c58787a
Review_DataExtraction_Validation_Curation_FinalDataset.zip
Jan 16, 2026 - Supplementary dataset and reproducible codes for LLM-assisted mapping feedstocks of eight conversion technologies from over 121,000 studies
ZIP Archive - 541.8 MB - MD5: 999c65d97aa9b56c1bc9ab7b7da70459
Volumetric three-dimensional experimental measurement of a model wind turbine wake
Jan 12, 2026 - NTNU – Norwegian University of Science and Technology
Hillestad, Johannes Næsset; Yadala, Srikar; Li, Leon; Hearst, R. Jason; Worth, Nicholas A., 2026, "Volumetric three-dimensional experimental measurement of a model wind turbine wake", https://doi.org/10.18710/SX0ZQT, DataverseNO, V1
This dataset contains time-resolved, volumetric, three-dimensional velocity fields of the near wake of a model wind turbine (WT). The velocity fields were obtained experimentally using particle tracking velocimetry (PTV), specifically the Shake-the-Box (STB) algorithm. The Eulerian velocity fields were calculated from the particle tracks using Vort...
00_README.txt
Jan 12, 2026 - Volumetric three-dimensional experimental measurement of a model wind turbine wake
Plain Text - 7.8 KB - MD5: b5a9463e2ec9c6696bf622ff66c17fb1
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