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GNSS Total Electron Content Data (60 s) at Hopen in 2024
This data set contains Total Electron Content data at 60 seconds time resolution at Hopen, 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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GNSS Scintillation Data (60 s) at Longyearbyen in 2024
This data set contains phase and amplitude scintillation 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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Supporting data for "Changes in planktic foraminiferal distribution, productivity, and preservation in the Barents Sea during the last three millennia"
Paleoproduction changes in the northern and southern Barents Sea based on changes of abundance (absolute and relative) of planktic foraminifers and stable isotopes. Data of total and organic carbon and calcium carbonate content in the sediment was measured. The age-depth model from sediment cores was built based on a combination of lead 210 and carbon 14. See "Changes in planktic foraminiferal distribution, productivity, and preservation in the Barents Sea during the last three millennia"
Replication Data for: Acoustic occurrence of deep-diving cetaceans in the southern Adriatic Sea
Goose-beaked whale (Ziphius cavirostris) and sperm whale (Physeter macrocephalus) are two deep-diving odontocete species known to occur in the southern Adriatic Sea, based on intermittent stranding and sighting data. To get a better understanding of their presence in this region, we studied the occurrence of echolocation clicks produced by these species in passive acoustic recordings. Passive acoustic data were collected offshore Dubrovnik, Croatia. Data were collected from October 2018 to December 2019 and from June 2020 to December 2020 using a High-frequency Acoustic Recording Package (HARP) deployed at approximately 1,000 m depth. To determine the occurrence of echolocation clicks, a two-step process was used: automated detection followed by manual annotation of the detected clicks. Automated detection was implemented using a low signal-to-noise ratio threshold and a broad range of parameters to detect as many clicks as possible. Two click clustering algorithms were evaluated for performance on this data set: an unsupervised clustering algorithm and a filtering algorithm. The performance of the algorithms was compared to the manual annotations to determine a time-effective method for future monitoring. Both species were found to be acoustically active in the southern Adriatic Sea. Goose-beaked whales were detected throughout the recording period, with echolocation clicks peaking during the winter of 2018–2019 and in the spring of 2019. Conversely, sperm whales were more acoustically active during short, irregular windows, mostly during the summer of 2019. These results suggest that goose-beaked whales are residents, and, due to the irregularity of their detection, sperm whales are likely occasional visitors to this region. The unsupervised clustering algorithm performed better than the tested filtering algorithm, with F-scores of 0.74 and 0.46, respectively. This study provides knowledge that can help with effective conservation efforts and further contribute to our understanding of cetacean occurrence in the region
Supplementary material for: Milk production and methane emissions from dairy cows fed silages from different grassland species and harvesting frequencies
The supplementary material provides information for the article published in Journal of Dairy Science, entitled "Milk production and methane emissions from dairy cows fed silages from different grassland species and harvesting frequencies". This study evaluated how silages from different grassland species and harvesting frequencies affect feed intake, milk production, and methane (CH4) emission in dairy cows. The experiment design was a cyclic change over design, including 5 treatments and 4 periods, which is described in supplementary tables and figure. The cutting date, phenological development stage, chemical composition and fermentation profiles of the silages is also provided in the supplemental material
Soapstone sinkers for line fishing from the collection of the Archaeological Museum of the University of Stavanger, Norway, TEMPA-3D project
An asset of 3D models of soapstone sinkers for line fishing from the collection of the Museum of Archaeology of the University of Stavanger. The dataset comprises 17 sinkers studied during the TEMPA-3D research project, representing a collection of Late Mesolithic and Neolithic artifacts. It consists of 17 3D models and presents both the models themselves and the RAW image data used during photogrammetric procedures. The accuracy is approximately 0.2 mm
Background data for: A chained metonymic approach to ίdὸ ‘eye’ constructional metonymies in Hausa
Hausa has the largest population of speakers in the Chadic language family and is spoken in the West African sub-region as a first language, particularly in Nigeria, Niger, Benin, Chad, Togo, and Ghana (Caron 2013). It is spoken by millions of non-Hausas as a second language (Inuwa 2017). Hausa is one of the three dominant languages spoken in Nigeria as a national language, and it is predominantly spoken in the northern Nigerian states (Newman 2000; Crysmann 2010). To the best of our knowledge, there is no reliable existing body of Hausa information or a massive electronic collection of Hausa text, which linguists can consult for research. This dataset is an attempt to contribute to the development of a robust body of information and/or a comprehensive electronic collection of Hausa texts, thereby enhancing the reliability of Hausa linguistic research.
This dataset was basically sourced through researchers' native-speaker intuition, observations, and unstructured interviews. This dataset, originally compiled as preparation for the related publication, contains 332 eye-related expressions on different topics related to the typical Hausa people's lifestyle, e.g., related to culture, religion, politics, education, and health. The datafile contains a totality of about 6444 words, all glossed in English.Abstract of related publication:
Unlike previous studies which generally seem to focus more on Hausa metaphorical expressions, this study investigates a wide range of uses of ίdὸ ‘eye’ in its constructional metonymy patterns in the language by exploring corpus data that contain over 300 eye-related expressions. We observe that some constructional metonymies maintain a set of fixed words and syntax in activating conceptual shifts and producing eye metonymies while others have semi-fixed patterns and produce the same metonymies. Lexical items like tsόkάlế, kὰn, ὰ, dὰ, and bὰsίrὰ among others are constant constituents in the constructional metonymies in which they appear. In the metonymic chaining, the basic mapping of eye metonymies occurs via the PART FOR PART relation under E-metonymies and the SUB- FOR SUPERCATEGORY relation under C-metonymies. We also observe that E→E→C coding has the highest chained metonymic structure in the creation of the eye metonymies. Both attributive and predicative colligates motivate metonymic senses in the language. Finally, our analysis reveals that the eye is metonymically conceptualized and semantically extended to various target domains and produces metonymic conceptualizations that make the eye stand for vision, desire, envy, control, attention, perception, person, meeting, brain, intelligence, and so on
Replication Data for: "Mechanical deformations in battery current collector observed by operando X-ray diffraction on Si/graphite anodes"
This data set contains background data for the publication titled: "Mechanical deformations in battery current collector observed by operando X-ray diffraction on Si/graphite anodes", collected as a part of the SUMBAT project.
The data consist mainly of operando X-ray diffraction data collected on Si-graphite composite electrodes for Li-ion batteries
Above Ground Biomass (AGB) map for 2024
This dataset provides a high-resolution (10 m) pan-European map of forest Above Ground Biomass (AGB) for the year 2024, along with an accompanying standard deviation layer. It is part of the PathFinder collection of forest structure maps, which integrates Sentinel-2 satellite imagery, auxiliary geospatial layers, and National Forest Inventory (NFI) data to deliver detailed forest attribute predictions across Europe. The map supports applications in forest management, biomass estimation, carbon accounting, and ecological modeling. For methodology and data integration details, see the documentation dataset of the PathFinder collection (https://doi.org/10.18710/OEYKEG) and the following publication: Miettinen, J., Breidenbach, J. et al. (2025). PathFinder's High-Resolution Pan-European Forest Structure Maps: An Integration of Earth Observation and National Forest Inventory Data. Zenodo. https://doi.org/10.5281/zenodo.17107267
Replication Data for: Functional diversity of dead wood promotes species rich communities of fungi
Data on fungal community composition and dead wood diversity and volume in 24 forests in South-Eastern Norway.This study evaluates how different facets of functional diversity of dead wood (richness, evenness, divergence, and dispersion) combined with volume affect communities of fruiting polyporoid and corticioid fungi in Agaricomycetes. Using an existing study system, where dead wood has been surveyed in paired clear-cut and near-natural forests, we test the impact of functional diversity on fungal communities. Our findings reveal that near-natural forests exhibit higher fungal species richness due to greater volume and diversity of dead wood. We demonstrate that a unified measure of dead wood volume and functional diversity better predicts fungal species richness and community composition than either factor alone. Functional divergence and evenness of dead wood are key predictors, with high functional divergence indicating a variety of niches and high functional evenness suggesting well-distributed niche availability. These results highlight the importance of both the quantity and structural heterogeneity of dead wood in maintaining fungal diversity. Conservation efforts and forest management should focus on enhancing both the volume and structural diversity of dead wood to support diverse fungal communities. This study provides valuable insights into species assembly processes and underscores the need for integrated measures of dead wood characteristics in ecological studies