91 to 98 of 98 Results
Feb 1, 2021 - TROLLing
Sönning, Lukas, 2021, "Clear vs. dark /l/ in German Learner English: Dataset for chapter 5 in "Phonological variation in German Learner English"", https://doi.org/10.18710/G6PJ5F, DataverseNO, V1, UNF:6:qGMGOYpGPdJCZcXD2QAyeg== [fileUNF]
This dataset contains tabular files with acoustic measurements for prevocalic and non-prevocalic laterals produced by n = 62 German learners of English and n = 26 native speakers of English (BrE and AmE). The German subjects are instructional-setting learners ranging from grade 5... |
Jan 30, 2021 - TROLLing
Sönning, Lukas, 2021, "The TRAP-DRESS contrast in German Learner English: Dataset for chapter 4 in "Phonological variation in German Learner English"", https://doi.org/10.18710/ATIRRV, DataverseNO, V1, UNF:6:InisFzv6Q0s2HMUf96W1KQ== [fileUNF]
This dataset contains tabular files with acoustic measurements for two English vowel categories, TRAP and DRESS, produced by n = 62 German learners of English and n = 26 native speakers of English (BrE and AmE). The German subjects are instructional-setting learners ranging from... |
Jan 30, 2021 - TROLLing
Sönning, Lukas; Krug, Manfred, 2021, "Actually in contemporary British speech: Data from the Spoken BNC corpora", https://doi.org/10.18710/A3SATC, DataverseNO, V1, UNF:6:S8E8T69mmiEVrGGC0XPIrg== [fileUNF]
This dataset contains tabular files with information about the usage of "actually" in contemporary British speech. We draw on two spoken corpora: (i) The demographically sampled part of the Spoken BNC1994 (Crowdy 1995) and (ii) the Spoken BNC2014 (Love et al. 2017). For both corp... |
Dec 2, 2020 - The Stein Rokkan Research Group for Quantitative Social and Political Science
Solvang, Øystein; Stein, Jonas; Brattland, Camilla, 2020, "Covid-19 Municipal Level (Norway) Social Science Dataset", https://doi.org/10.18710/NMKI2B, DataverseNO, V2
The dataset is a cross-sectional dataset covering social and public health data pertaining to the Covid-19 outbreak in all 356 Norwegian municipalities. The dataset was compiled from public register data and media sources. Data on Covid-19 cases and related fatalities is current... |
Oct 20, 2020 - The Stein Rokkan Research Group for Quantitative Social and Political Science
Solvang, Øystein; Eriksen, Kari Elida; Stein, Jonas; Brattland, Camilla, 2020, "Covid-19 Country Level Social Science Dataset", https://doi.org/10.18710/VMUP44, DataverseNO, V2
The dataset is a cross-sectional dataset covering social and public health data pertaining to the Covid-19 outbreak in 199 countries. The dataset was compiled from public register and other openly available sources. Data on Covid-19 cases and related fatalities is current as of m... |
Sep 8, 2020 - TROLLing
Flick, Johanna, 2020, "Replication Data for: Die Entwicklung des Definitartikels im Althochdeutschen. Eine kognitiv-linguistische Korpusuntersuchung", https://doi.org/10.18710/HZKYL4, DataverseNO, V1
This data set is the appendix for Flick (2020): Die Entwicklung des Definitartikels im Althochdeutschen. Eine kognitiv-linguistische Korpusuntersuchung (Empirically oriented theoretical morphology and syntax 6). Berlin: Language Science Press. English abstract (the publication is... |
Apr 14, 2020 - UiT The Arctic University of Norway
Kvammen, Andreas; Wickstrøm, Kristoffer; McKay, Derek; Partamies, Noora, 2020, "Replication Data for: Auroral Image Classification with Deep Neural Networks", https://doi.org/10.18710/SSA38J, DataverseNO, V3
Results from a study of automatic aurora classification using machine learning techniques are presented. The aurora is the manifestation of physical phenomena in the ionosphere magnetosphere environment. Automatic classification of millions of auroral images from the Arctic and A... |
Jan 24, 2020 - University of Bergen
Seland, Eivind Heldaas, 2019, "Water sources in the Syrian Desert", https://doi.org/10.18710/CEY9QR, DataverseNO, V2
The dataset gives the location of 2236 water sources in the Syrian Desert, which were identified on Soviet topographic maps originally printed in 1980. These consist of 853 pools/reservoirs/cisterns, 1061 small wells, 119 large wells and 203 springs, and represent a complete cove... |
