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531 to 540 of 138,165 Results
Jan 20, 2026 - University of Oslo
Dunnett, Kirsty, 2024, "Data for Project: How Isostasy is presented in Introductory Geosciences Textbooks", https://doi.org/10.18710/VW7OE4, DataverseNO, V2
This dataset contains the background data for a multi-method study on the presentation of the topic of isostasy in predominantly introductory geosciences textbooks. It includes information on the textbooks considered and the short quotes that indicated areas of particular relevance to the questions of interest. The introductory textbooks were those...
Plain Text - 13.8 KB - MD5: e497c94b73165b5efd849f07ab8644d3
Read me file for 'Data for Project: How Isostasy is presented in Introductory Geosciences Textbooks'
Comma Separated Values - 33.8 KB - MD5: 2b27fa69fba7b3db634fd284f38eb6ae
Preliminary and final codes for the 94 sentences from four introductory textbooks analysed to explore the use of image schemata to critically review non-formal presentations.
Plain Text - 1.2 KB - MD5: 052faab56ac990d2d53a1ba94f816304
Text file providing details about how consent was obtained
Tab-Separated Values - 13.2 KB - MD5: 1b0d8f19f8611636bbaf19baabbb7afb
Tab-separated data table with usage ratings for quotative LIKE
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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