11 to 20 of 135,337 Results
Jun 9, 2026 - Tromsø Geophysical Observatory
Tromsø Geophysical Observatory, 2026, "Daily Sum of Absolute Horizontal Storminess and Range Intensity for Tromsø 1930-1965", https://doi.org/10.18710/MAI7RH, DataverseNO, V1
The dataset contains daily sums of absolute horizontal storminess and range intensity derived from magnetic observations made at the Auroral Observatory of Tromsø over the years 1930 to 1965. |
Plain Text - 13.1 KB -
MD5: cf23ed68df00cedb52abfcc98fc66db3
This file contains the necessary information about the data and the file containing the dataset. |
Comma Separated Values - 250.8 KB -
MD5: f43860254a5fd99e9d9ff989826c87d0
Absolute Horizontal Storminess and Range Intensity derived from magnetic observations made at Tromsø Auroral Observatory for years 1930-1965 |
Jun 8, 2026 - University of South-Eastern Norway
Stensby, marte, 2026, "R scripts and data for "Surf's up; summer peak flows reduce offspring survival in a semi-aquatic species, the Eurasian beaver" 2026", https://doi.org/10.18710/F5WGQQ, DataverseNO, V1
Climate change affects the hydrological cycle and alters flow patterns including the timing, frequency and magnitude of floods. Similar changes can occur when rivers are regulated for hydropower use which can be detrimental to many species during the reproductive period. Little is known about how flooding affects offspring survival in semiaquatic m... |
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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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... |
Plain Text - 15.1 KB -
MD5: 2d15149d3af5d14653033961ed323449
File documenting the dataset and the contents of each data file. |
