dat@OSU
dat@OSU is a Metadata platform proposed by the Observatoire des Sciences de l’Univers Terre Homme Environnement Temps Astronomie (OSU THETA). It provides a description of digital data sets from scientific research led in the different laboratories and teams.
Physicochemical characteristics of water and sediment - floodplains of the Ain, Doubs and Loue Rivers - 2015-2016
19 sites (16 wetlands and 3 rivers) with different physicochemical characteristics and distributed along three rivers (Ain, Doubs, and Loue) were sampled. The physicochemical characteristics of the wetlands were measured in situ or after laboratory analysis.
Physicochemical characteristics of water and sediment - Ain River floodplain - 2019-2020
34 sites (16 wetland sites, 15 river sites, and 3 groundwaters) distributed along the Ain River with different physicochemical characteristics were sampled. The physicochemical characteristics of the wetlands were measured in situ or after laboratory analysis.
Perception of expressive vocal cues in musical sounds
This dataset contains 340 audio stimuli (speech, singing voice, music) designed to contain emotional cues (e.g. smiles, tremor, etc.), as well as experimental data collected on 60 listeners rating the emotional content of these sounds. This dataset corresponds to the work reported in: Bedoya et al. ...
Fossorial water vole (Arvicola terrestris) population cycles and their phase-associated microbial communities
Monitoring of montane water vole populations on the Jura plateau during the phases of a demographic cycle: relative densities, reproduction parameters, weight, relative age (crystalline weight), and microbial community composition. Those data have been collected in the framework of Petra Villette's ...
Wikipedia network analysis of cancer interactions and world influence
We apply the Google matrix algorithms for analysis of interactions and influence of 37 cancer types, 203 cancer drugs and 195 world countries using the network of 5 416 537 English Wikipedia articles with all their directed hyperlinks. The PageRank algorithm provides the importance order of cancers ...
Interactions of pharmaceutical companies with world countries, cancers and rare diseases from Wikipedia network analysis
Using the English Wikipedia network of more than 5 million articles we analyze interactions and interlinks between the 34 largest pharmaceutical companies, 195 world countries, 47 rare renal diseases and 37 types of cancer. The recently developed algorithm of reduced Google matrix (REGOMAX) allows ...
World influence of infectious diseases from Wikipedia network analysis
We consider the network of 5416537 articles of English Wikipedia of 2017. Using the recent reduced Google matrix (REGOMAX) method we construct the reduced network of 230 articles (nodes) of infectious diseases and 195 articles of world countries. This method generates the reduced directed network ...
Wikipedia Ranking of World Universities 2017
We present Wikipedia Ranking of World Universities (WRWU) based on analysis of networks of 24 Wikipedia editions collected in May 2017. With PageRank and CheiRank algorithms we determine ranking of universities averaged over cultural views of these editions. The comparison with the Shanghai ranking ...
Wikipedia Ranking of World Universities
We obtained the ranking of the most influential universities in Wikipedia. We analyzed networks of articles associated to 24 language editions of Wikipedia to compute the ranking of world universities using PageRank, CheiRank and 2DRank algorithms. The Wikipedia Ranking of World Universities (WRWU) ...
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