1,381 to 1,390 of 1,849 Results
Feb 1, 2021 - TROLLing
Sönning, Lukas; Rank, Isabel, 2021, "The labiodental fricative /v/ in German Learner English: Dataset for chapter 8 in "Phonological variation in German Learner English"", https://doi.org/10.18710/B276ZX, DataverseNO, V1, UNF:6:IPTiCn2tvSr49eurkB8w7A== [fileUNF]
This dataset contains tabular files with auditory classifications for onset /v/ produced by German learners of English. The data originate from two different studies. The data by Soenning (2020) include n = 62 speakers (instructional-setting learners from northern Bavaria; age: 11--30), who produced a total of n = 429 tokens. These data were elicit... |
Feb 1, 2021 - TROLLing
Sönning, Lukas; Pascoe, Graham; Rank, Isabel; Wunder, Christina, 2021, "The labio-velar glide /w/ in German Learner English: Dataset for chapter 7 in "Phonological variation in German Learner English"", https://doi.org/10.18710/F1A34O, DataverseNO, V1, UNF:6:B/JE2v1DyUC9BJ2QYvg4QA== [fileUNF]
This dataset contains tabular files with auditory classifications for /w/ produced by German learners of English. The data originate from four different studies. The data by Pascoe (1987) include n = 26 speakers (instructional-setting learners from southern Bavaria; age: 14-16 years), who produced a total of n = 323 tokens. These data were elicited... |
Feb 1, 2021 - TROLLing
Sönning, Lukas; Pascoe, Graham; Rank, Isabel; Wunder, Christina, 2021, "English /r/ in German Learner English: Dataset for chapter 6 in "Phonological variation in German Learner English"", https://doi.org/10.18710/YDKDFG, DataverseNO, V1, UNF:6:A6JzNEPu4WEmzliDbu0UVw== [fileUNF]
This dataset contains auditory classifications for prevocalic and postvocalic /r/ produced by German learners of English. The data originate from four different studies. The data by Pascoe (1987) include n = 26 speakers (instructional-setting learners from southern Bavaria; age: 14-16 years), who produced a total of n = 346 prevocalic and n = 303 p... |
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 (age: 11) to university. They are predominantly from northern Bavaria... |
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 grade 5 (age: 11) to university. They are predominantly from northern... |
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 corpora, we list the usage rate observed for each speaker (total number of... |
Jan 22, 2021 - NTNU – Norwegian University of Science and Technology
Skulberg, Arne Kristian; Dale, Ola, 2020, "NTNU Intranasal Naloxone Trial (NINA-1) Study documents", https://doi.org/10.18710/ABRUWW, DataverseNO, V2
This section contains study documents forming the basis of the NINA-1 Trial. Documents will be added at Sponsors discretion, and aim to reflect the Trial Master File. Please consult the file 00readme for a key to how documents are coded in this dataset. If you have any specific document you would like access to, please contact us, and Sponsor will... |
Jan 8, 2021 - UiT The Arctic University of Norway
Zhulay, Irina, 2021, "Replication Data for: Functional Pattern of Benthic Epifauna in the Chukchi Borderland, Arctic Deep Sea", https://doi.org/10.18710/OGOAWN, DataverseNO, V1
This dataset contains “traits by taxon”, “taxa by stations”, and “traits by stations” matrices for 106 benthic epifaunal taxa collected with a beam trawl and a Remotely Operated Vehicle (ROV) in the Chukchi Borderland (CBL), north of Alaska (74 - 78°N, 158 - 165°W) on-board USCGC Healy in July–August 2016 from 486 – 2610 m depth. The data were used... |
Jan 8, 2021 - University of Bergen
Wathne, Ingrid, 2021, "Replication data for: Rapid life-history evolution in a wild Daphnia pulex population in response to novel size-dependent predation", https://doi.org/10.18710/EC1C5E, DataverseNO, V1
This data set represent the results from a experiment designed to uncover potential rapid life-history evolution in a Daphnia pulex population in response to a shift in predation regime from phantom midge larvae (Chaoborus flavicans) to fish (Perca fluviatilis) after the illegal intoduction of perch to the study site, Lake Myravatn in the western p... |
Jan 7, 2021 - TROLLing
Beland, Nikolai, 2021, "The superlative alternation in present-day English: Questionnaire data", https://doi.org/10.18710/NL8UQC, DataverseNO, V1, UNF:6:RKi85c6Q4ObGsRs1yg7J/g== [fileUNF]
This dataset contains elicitation data collected through a questionnaire on superlative strategy choice in English (X-est vs. most X). Native speakers (n = 675) were asked to indicate their preferred superlative variants of the adjectives used in n = 120 systematically manipulated prompt sentences. The data enable us to quantify the effects of seve... |
