461 to 470 of 495 Results
Jan 19, 2026 -
Background data for: The morpho-syntax of Scottish Standard English: Questionnaire-based insights
Tab-Separated Values - 13.6 KB -
MD5: 7c0cd08ff5928533d9bea0b057d3413b
Tab-separated data table with usage ratings for epistemic MUSTN'T |
Jan 19, 2026 -
Background data for: The morpho-syntax of Scottish Standard English: Questionnaire-based insights
Tab-Separated Values - 13.9 KB -
MD5: a32870d8bccf9e78870b89d79fc5e77e
Tab-separated data table with usage ratings for YOUSE |
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 |
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 |
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... |
ZIP Archive - 107.5 MB -
MD5: 2792a734810fc784da1561dfbf60ff18
|
ZIP Archive - 109.3 MB -
MD5: 3796e6f20448f0c25e0096af309c4bcb
|
ZIP Archive - 116.9 MB -
MD5: 2d94fe604f5c14f2265b88ca2c58787a
|
Plain Text - 20.7 KB -
MD5: a40d689a35fc845eb8c6ab7558622d0f
|
ZIP Archive - 541.8 MB -
MD5: 999c65d97aa9b56c1bc9ab7b7da70459
|
