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Replication data for: Canines (Canis lupus familiaris) as biodetectors for conservation work: Can they discriminate the rock ptarmigan (Lagopus muta) from the willow grouse (L. lagopus) in a yes/no task?
No full textDATASET MIGRATED FROM FIGSHARE: This dataset consists of replication data for the study "Canines (Canis lupus familiaris) as biodetectors for conservation work: can they discriminate the rock ptarmigan (Lagopus muta) from the willow grouse (L. lagopus) in a yes/no task"Article Abstract - Related PublicationAlpine and arctic bird populations have shown an unmistakable decrease over the last three decades, and the need for conservation is highly necessary. We investigated the use of five privately-owned dogs (Canis lupus familiaris) as a non-invasive tool to determine the presence of rock ptarmigan (Lagopus muta), through sniffing out faecal pellets, using a yes/no training regime. We carried out 36 double-blind experimental trials per dog and hypothesised that dogs could discriminate the rock ptarmigan from similar species, such as black grouse (Tetrao tetrix), western capercaillie (T. urogallus) and willow grouse (L. lagopus). Our dogs detected differences between the avian species with an average accuracy of 65.9%, sensitivity of 66.7% and specificity of 65.3%. We showed that privately-owned dogs have the potential to be used as biodetectors for conservational work within controlled laboratory conditions for declining species, but overall, only one dog was considered proficient enough. We concluded that dogs could be used as a non-invasive tool to detect the rock ptarmigan, and with further field training and testing, operate in the field for detection surveys.</p
Images from a TCM at the Storfjordrenna Pingos (CAGE_HH933) during the CAGE15-2 cruise
No full textThis dataset includes images of the Storfjordrenna Pingos taken with a MISO-TowCam during TCM (TowCam-Multicorer) dives between the 22th and 25th of May 2015 during the cruise CAGE15-2 (cruise report: https://doi.org/10.7557/cage.6932). The marker for this site is CAGE933
Replication Data for: Listening to Accents: Comprehensibility, accentedness and intelligibility of native and non-native English speech
No full textDataset abstract
This dataset contains the results from 33 Flemish English as a Foreign Language (EFL) learners, who were exposed to eight native and non-native accents of English. These participants completed (i) a comprehensibility and accentedness rating task, followed by (ii) an orthographic transcription task. In the first task, listeners were asked to rate eight speakers of English on comprehensibility and accentedness on a nine-point scale (1 = easy to understand/no accent; 9 = hard to understand/strong accent). How Accentedness ratings and listeners' Familiarity with the different accents impacted on their Comprehensibility judgements was measured using a linear mixed-effects model. The orthographic transcription task, then, was used to verify how well listeners actually understood the different accents of English (i.e. intelligibility). To that end, participants' transcription Accuracy was measured as the number of correctly transcribed words and was estimated using a logistic mixed-effects model. Finally, the relation between listeners' self-reported ease of understanding the different speakers (comprehensibility) and their actual understanding of the speakers (intelligibility) was assessed using a linear mixed-effects regression. R code for the data analysis is provided.
Article abstract
This study investigates how well English as a Foreign Language (EFL) learners report understanding (i.e. comprehensibility) and actually understand (i.e. intelligibility) native and non-native accents of English, and how EFL learners’ self-reported ease of understanding and actual understanding of these accents are aligned. Thirty-three Dutch-speaking EFL learners performed a comprehensibility and accentedness judgement task, followed by an orthographic transcription task. The judgement task elicited listeners’ scalar ratings of authentic speech from eight speakers with traditional Inner, Outer and Expanding Circle accents. The transcription task assessed listeners’ actual understanding of 40 sentences produced by the same eight speakers. Speakers with Inner Circle accents were reported to be more comprehensible than speakers with non-Inner Circle accents, with Expanding Circle speakers being easier to understand than Outer Circle speakers. The strength of a speaker’s accent significantly affected listeners’ comprehensibility ratings. Most speakers were highly intelligible, with intelligibility scores ranging between 79% and 95%. Listeners’ self-reported ease of understanding the speakers in our study generally matched their actual understanding of those speakers, but no correlation between comprehensibility and intelligibility was detected. The study foregrounds the effect of native and non-native accents on comprehensibility and intelligibility, and highlights the importance of multidialectal listening skills.
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GNSS Total Electron Content Data (60 s) at Longyearbyen in 2022
No full textThis data set contains Total Electron Content data at 60 seconds time resolution at Kjell Henriksen Observatory (KHO) at Longyearbyen, Svalbard.
The measurements were collected by the University of Bergen using a NovAtel GPStation-6 global navigation satellite system receiver. The measurements include signals from GPS, GLONASS, and GALILEO at different frequencies. These data are used for research on space weather disturbances in the polar ionosphere.
A detailed description of the data structure and format is gathered in the documentation data set: Oksavik, Kjellmar, 2020, "Documentation of GNSS Total Electron Content and Scintillation Data (60 s) at Svalbard", DataverseNO, https://doi.org/10.18710/EA5BYX
This data set is part of a larger collection: Oksavik, Kjellmar, 2020. "The University of Bergen Global Navigation Satellite System Data Collection". DataverseNO. https://doi.org/10.18710/AJ4S-X394.
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In-situ drift and wave observations of sea ice, icebergs and open ocean in the Greenland Sea
No full textA data set of in-situ drift and wave observations of sea ice, icebergs and open ocean collected in the Greenland Sea in the time period from April until December 2022. A total of 20 drifters were deployed in western Fram Strait in Spring 2022, as part of the CIRFA-22 cruise. This cruise was conducted by the Centre for Integrated Remote Sensing and Forecasting for Arctic Operations (CIRFA)
Replication Data for: A synopsis of bryophyte-lichen syntaxa in the Netherlands.
No full textThis dataset contains vegetation relevés from the Netherlands. These were used to compile a syntaxonomic classification. The result is a first complete overview of bryophyte-lichen syntaxa in the Netherlands
Arbeidsmåtene i barnehagen
No full textDette er en kvantitativ studie av arbeidsmåtene i norske barnehager. Spørreskjemaet ble sendt til alle ansatte i norske barnehager i 2022, og fikk over 2000 respondenter. Målet er å få mer kunnskap om hva som skjer i norske barnehager. Respondentene svarer blant annet på spørsmål om hva som preger samspillet med barna, ulike typer lek og utforskning, tidsbruk, utstyr, materiell, og samarbeid blant personalet
Replication data for DAS4Tracking - strain data for localization study
No full textThis data set is a subset of the data used to conduct the research as presented in a manuscript entitled "Simultaneous Tracking of Multiple Whales using two Fibre-Optic Cables in the Arctic" by Rørstadbotnen et al. in 2023. It contains processed strain data in strain unit measured by two OptoDAS interrogators, for two separate days, through a dark fiber in a submarine telecommunication cable, which was trenched into soft sediments at 0--2 m below the seafloor from Longyearbyen to Ny-Ålesund in Svalbard, Norway. The raw data was acquired from 2022-08-22 and 2022-09-06 and converted to strain data. To reduce file sizes, we resampled the raw data with an antialiasing filter from 625 Hz to 78.125 Hz and 125 Hz for the respective dates. 2-hour segments of the 5.3 and 3.3 hr data are archived as the total size of the raw data is more than 2.5 TB. The archived versions have a total size of 268 GB. To get access to the entire dataset, contact the corresponding author. A Tukey taper with a taper rate of 0.02 was applied before resampling to avoid artefacts. The distance range was also resampled to cover the studied data, for 2022-08-22 the range is channel 9803 to channel 24509, while for 2022-09-06 it is 2450 to 9191. The processed data are stored as structured arrays in MATLAB file format (.mat). This data set has no exact positioning data of the fiber optic cable because they are proprietary to SIKT
TURBAN – Observational datasets for studies of urban air quality hazard scenarios in Bergen, Norway
No full textThe Turbulent-resolving urban modeling of air quality and thermal comfort (TURBAN) project aims to develop an integrated urban modeling system on basis of the large-eddy simulation code PALM. Urban simulations require a large number of datasets representing urban environment. This dataset is a collection of available observations for the model development and testing.
The dataset has a value beyond the technical model development. It represent two observed periods of extreme deterioration of the urban air quality in Bergen, Norway. The observational dataset for studies of urban air quality hazard scenarios combines a selection of meteorological, air quality, and geospatial (urban features) data. The data are sampled for two distinct periods:
• Summer – covers 2019-07-20 to 2019-07-27 when one of the strongest historical heatwaves with maximum air temperatures exceeding +30C affected Bergen.
• Winter – covers 2021-02-04 to 2021-02-15 when one of the strongest historical coldwaves with temperatures below -10C and ice covering some the fjords (not observed since 1986) affected Bergen
The dataset combines the observations and surface features within the central urban area – the Bergen valley and Byfjorden where (1) air quality observations are available and (2) the most of available data records are found
The genitive alternation in 1960s and 1990s American English: Data from the Brown and Frown corpora
No full textThe dataset includes an annotated dataset of N = 5098 tokens of English s-genitive (e.g. "the children's voices") and of-genitive (e.g. "the voices of the children") constructions extracted from 5 components an of the Brown and Frown corpora of published written American English. The Brown corpus was compiled in the early 1960s, and the parallel Frown corpus in the early 1990s. The tokens are annotated for 18 syntactic, semantic, phonological, and contextual features. The dataset also includes the full sentence containing the token as well as metadata pertaining to the location of the token within the corpus