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31 to 40 of 140,298 Results
08_Data_Russian.csv
Jun 3, 2026 - Background data for: Exploring time-telling expressions: A cross-linguistic study of German, Czech, and Russian
Comma Separated Values - 8.3 KB - MD5: 4493980d2875b797b1579e64e0790d69
Supplementary material for "Heterogeneity in postprandial glucose-insulin and triacylglycerol dynamics and associations with plasma metabolome and body composition in obesity"
Jun 3, 2026 - Norwegian University of Life Sciences (NMBU)
Aunbakk, Nikolai, 2026, "Supplementary material for "Heterogeneity in postprandial glucose-insulin and triacylglycerol dynamics and associations with plasma metabolome and body composition in obesity"", https://doi.org/10.18710/ZT8XZ7, DataverseNO, V2
This supplementary material accompanies the manuscript “Heterogeneity in postprandial glucose–insulin and triacylglycerol dynamics and associations with plasma metabolome and body composition in obesity.” The data originate from the CARBFUNC clinical trial (ClinicalTrials.gov identifier: NCT03401970), which included 190 adults with abdominal obesit...
00_README.txt
Jun 3, 2026 - Supplementary material for "Heterogeneity in postprandial glucose-insulin and triacylglycerol dynamics and associations with plasma metabolome and body composition in obesity"
Plain Text - 12.8 KB - MD5: 200cbb90622729f675c21c0943408e28
Replication Data for: Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning
Jun 3, 2026 - TROLLing
De Timmerman, Romeo; Verbeke, Gil, 2026, "Replication Data for: Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning", https://doi.org/10.18710/RDU8M2, DataverseNO, V1
Dataset description This dataset contains replication data for the study "Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning" (De Timmerman & Verbeke, 2026). The study investigates how binary perceptual annotations of monophthongal versus diphthongal /aɪ/ relate to measurable acoustic variat...
00_README.txt
Jun 3, 2026 - Replication Data for: Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning
Plain Text - 15.1 KB - MD5: 2d15149d3af5d14653033961ed323449
File documenting the dataset and the contents of each data file.
formant_features.csv
Jun 3, 2026 - Replication Data for: Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning
Comma Separated Values - 557.1 KB - MD5: ebd7f2e6d1c474b35a25ee7f6dad7cf4
File containing engineered acoustic features for the same 1,004 /aɪ/ tokens (1,004 rows, 39 columns). Each row is a single vowel token, identified by vowel_id, with its perceptual label, vowel duration, a set of trajectory-based acoustic features derived from the F1 and F2 formants, and two phonological context variables. This file was used to trai...
formant_measurements.csv
Jun 3, 2026 - Replication Data for: Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning
Comma Separated Values - 3.3 MB - MD5: ae940a2782c26ef7da541babf31ef514
File containing raw, time-aligned F1 and F2 formant trajectories for the 1,004 /aɪ/ tokens (1,004 rows, 204 columns). Each row is a single vowel token, identified by vowel_id, with its perceptual label, vowel duration, and the F1 and F2 formant values interpolated to 100 equidistant timepoints across the vowel's duration. This file was used to trai...
Supporting Dataset for “An evidence map of feedstock reporting in biomass- and waste-to-X conversion research”
Jun 2, 2026 - University of South-Eastern Norway
Barahmand, Zahir, 2026, "Supporting Dataset for “An evidence map of feedstock reporting in biomass- and waste-to-X conversion research”", https://doi.org/10.18710/ZB68UG, DataverseNO, V2
This dataset supports a Scopus-based, query-constrained evidence map of feedstock reporting across eight biomass- and waste-to-X conversion technologies. It contains final labelled feedstock datasets, reference-record files with assigned record IDs, derived summary distributions, List of Waste (LoW)-based hazard-mapping support files, machine-reada...
00_ReadMe.txt
Jun 2, 2026 - Supporting Dataset for “An evidence map of feedstock reporting in biomass- and waste-to-X conversion research”
Plain Text - 10.6 KB - MD5: 02b54f896bd55d49efed8d2c779b35c5
references_record_id.zip
Jun 2, 2026 - Supporting Dataset for “An evidence map of feedstock reporting in biomass- and waste-to-X conversion research”
ZIP Archive - 9.5 MB - MD5: 2c99825e7f10bc2d27dd524340b430f2
ZIP archive containing technology-specific reference-record files with assigned record IDs and bibliographic traceability metadata. Abstract text and other publisher-controlled bibliographic text fields have been removed from the public files to avoid redistribution of third-party content.
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