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Replication data for: Improving Hand Hygiene in Cruise Ship: an Intervention Study
No full textDATASET MIGRATED FROM FIGSHARE: Extended data for the article with the same title. Supplementary Table 1: Description of the sampled surfaces and sample collection methods.Supplementary Table 2: Hand Hygiene Questionnaire</p
Software for Using the Dataset
No full textDATASET MIGRATED FROM FIGSHARE: These applications were created to extract image frames from the .svo2 files in the dataset and automatically segment and classify the castings, using their morphological shape.An NVIDIA GPU is required to run the image extractor application.</p
“Student Teachers’ Understanding of Professional Digital Competence - A Scoping review protocol"
No full textDATASET MIGRATED FROM FIGSHARE: The objective of this scoping review is to investigate what is known about pre-service teachers’ Professional Digital Competence, and what the literature reveals about pre-service teachers' understanding of Professional digital competence</p
GNSS Scintillation Data (60 s) at Bjørnøya in 2024
No full textThis data set contains phase and amplitude scintillation data at 60 seconds time resolution at Bjørnøya, 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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The Colorectal_Cancer_IHC_CISH_HE_Epithelium_Segmentation dataset
No full textThis comprehensive dataset provides high-resolution histopathological images and annotations for AI training in colorectal cancer analysis. The collection includes Tissue Microarray (TMA) cores from 100 patients, featuring both normal colorectal mucosa and cancer tissue. The dataset contains two main components: a full dataset with triplicate cores and 13 protein markers.
TMA Cores:
Normal Colorectal Mucosa: 3 cores per patient (one core per image file and corresponding epithelium segmentation mask file)
Colorectal Cancer: 3 cores per patient (one core per image file and corresponding epithelium segmentation mask file)
Markers:
Hematoxylin and eosin stained cores.
Immunohistochemistry for 13 Proteins: E-Cadherin, Vimentin, Smooth Muscle Actin (SMA), Ki-67, SMAD3, MACC1, LASP1, CD44, NAIP, KLF5, FSCN1, CTNND1, and KRAS
ISH stains for two miRNAs (miR-143, miR-145), ISH Positive Control (U6 snRNA) and ISH Negative Controls (Scrambled probe)
Each image file contains one core with mask files with fully annotated epithelium (both normal and cancer epithelial tissue) for deep learning-based segmentation analysis. The dataset includes original microscopy images and segmentation masks, as well as quantitative measurements (SPSS datafile) for a subset of the markers
Supporting Data for: Assessing the efficiency of ethyl acetate for lipid extraction as an alternative to the Folch method in selected marine low-trophic species
No full textThe study aimed to bridge the knowledge gap in evaluating ethyl acetate (EtOAc) as a single organic solvent in lipid extraction and contribute to a deeper understanding of the targeted organic solvent lipid extraction systems. The efficiency of the EtOAc method was benchmarked against the well-established Folch method on total lipid content, lipid class profile, and fatty acid composition of four marine species: Atlantic salmon (Salmo salar Linnaeus, 1758), the zooplankton Calanus finmarchicus (Gunnerus, 1770), the microalgae Porosira glacialis (Grunow) Jörgensen, 1905, and the macroalgae Saccharina latissima (Linnaeus). Gas Chromatography-Flame Ionization Detector (GC-FID) analyses indicated that these marine species are excellent sources of highly unsaturated fatty acids. Additionally, High-Performance Thin-Layer Chromatography (HPTLC) results demonstrated a synergistic relationship between solvent polarity and lipid polarity. Overall, the EtOAc method proves to be a potent alternative for extracting neutral lipids and free fatty acids from biological materials such as salmon fillets and C. finmarchicus. However, it exhibits lower efficiency with polar and complex lipids, as observed in P. glacialis and S. latissima
Replication Data for: Going Beyond Words: Engaging Grammar for Insights into Political Discourse
No full textDataset description:
This dataset contains data in connection with a selection of three of Putin's speeches from 2023 and 2024. The related book chapter also includes analysis of data from Putin's speeches in 2022, and that data is available here: Obukhova, A. (2022). Replication Data for: the Case for Case in Putin’s Speeches. https://doi.org/10.18710/APDMDZ. DataverseNO, V2.Abstract for related publication:
We present Keymorph Analysis as method to reveal the role of grammar in political discourse, demonstrating how this method can be used to gain a more in-depth understanding of language in discourse and securitization analyses. We present a longitudinal study of Putin’s speeches, comparing his use of grammatical case to usual grammatical behavior in Russian, and tracking changes from the beginning of the full-scale invasion of Ukraine in early 2022 through the end of 2024.</p
Supplementary Data for: Cellulose as a Sustainable Reagent in Flotation: Mechanisms and Applications
No full textThe dataset includes search results from the Scopus database, using various sets of keywords: 1) 'Nanocellulose', 2) 'Cellulose' and 'Flotation' 3) 'Nano', 'Cellulose' and 'Flotation'. The dataset presents the number of publications per year across various keyword searches, illustrating the growing interest in research on cellulose and nanocellulose in flotation. Each publication in the dataset includes detailed information in rows such as authors, title of the publication, DOI (Digital Object Identifier), and keywords used for the search
Data and materials for: The Role of Self-Efficacy and Social Belonging in Norwegian Upper Secondary Students’ Interest in Gendered Occupations
No full textThis data set is part of a study investigating how self-efficacy and expected social affiliation influence Norwegian upper secondary school students' interest in gender-dominated and gender-balanced occupations. In a survey, self-efficacy, expected social affiliation, career interest and descriptive and prescriptive gender stereotypes were collected for 12 occupations with brief descriptions.
The dataset was collected from 210 students in the first year of upper secondary education for general studies (year 11) by means of a questionnaire distributed and administered electronically via the survey portal nettskjema.no, which is developed and hosted by the University of Oslo ([email protected]). Data were collected anonymously from nine classes in seven different schools in central Norway between October 2022 and January 2023. All materials were presented to participants in Norwegian. An English translation of the questions and answer options is provided in the manuscript "The Role of Self-Efficacy and Social Belonging in Norwegian Upper Secondary Students’ Interest in Gendered Occupations".</p
Supporting data for: Postglacial history of a widespread forest fungus in Europe suggests migration out of multiple refugia followed by admixture
No full textWhile postglacial migration patterns have been well-studied in plants and animals in Europe, the same is not true for microorganisms such as fungi, and it remains unclear whether fungi have followed the same postglacial migration trajectories.
Our main aim in this study was to trace the post-glacial history of the wood decay fungus T. abietinum in Europe by asking whether recolonization of northern Europe has happened from multiple refugia. We hypothesise that T. abietinum has co-migrated together with its main host trees from different Southern and Eastern European refugia. Further, we ask if there has been secondary contact between lineages spreading from separate refugia, and whether contact zones among them can be found. Since the fungus has multiple host tree species that resided in different refugia, we hypothesize that admixture of lineages from different refugia has taken place, leading to a complex genetic structure in European populations of T. abietinum. To test these hypotheses, we conducted detailed population genomic analyses of genetic diversity and demographic history based on available full genome sequences of a large set of European samples of T. abietinum