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Replication Data for: "Unique Na5-xSbSe phase enables high-rate performance of Sb2Se3 anodes in Na-ion batteries"
No full textThe dataset contains data associated with the publication "Unique Na5-xSbSe phase enables high-rate performance of Sb2Se3 anodes in Na-ion batteries". DOI: 10.1002/aenm.20250143
Arctic ship traffic air pollutant emissions inventory 2013-2022
No full textMonthly gridded ship-associated emissions (carbon monoxide (CO), sulfur oxides (SOx), nitrogen oxides (NOx), and volatile organic compounds (VOC)) in the Barents and Kara Sea region from 2013 - 2022. Data is collected from the Protection of the Arctic Marine Environment's (PAME) Arctic Ship Traffic Database (ASTD) and aggregated to monthly sums in a 0.1x0.1 longitude latitude grid.
Emissions are given in total emissions (tonnes) per month (unit: tonnes/month), where the filename indicate year and month: ASTD_shipping_emissions_yyyy_mm.
NB: Each file contains 12 time layers, which requires the user to refer to correct timestamp to view data (i. e. ASTD_shipping_emissions_2015_01, data is found in time=1. ASTD_shipping_emissions_2021_07, data is found in time=7)
Replication Data for: Examining accent bias towards Turkish speakers of Dutch
No full textDataset abstract This dataset includes the experimental data collected of 175 Flemish Dutch-speaking participants in a speaker evaluation experiment assessing attitudes towards Turkish speakers of Dutch. For each participant, the dataset contains evaluation data for 8 individual speech stimuli. These data consist of 3 fixed sociolinguistic variables (the speaker's Name, Accent & Variety), 7-point Likert scale responses on 12 statements about the speaker's personality traits (Intelligent, Reliable, Self-assured, Highly-educated, Warm, Cool, Well-paid, Likeable, Tough, Helpful, Leader and Easy-going) and several relevant demographic variables (Gender, Year of birth, Region, Education, Language education, Nationality and Home Language).Article abstract This contribution investigates the attitudes of Flemish first language speakers towards Turkish-Flemish speakers of Dutch as a second language. We conducted a 2 x 2 x 2 speaker evaluation experiment measuring the effects of accent (native vs. Turkish), language variety (standard vs. colloquial) and name (Flemish vs. Turkish) on attitudes vis-à-vis male speakers of Belgian Dutch. Our findings provide no consistent evidence of a negative bias vis-à-vis Turkish names in Flanders. While this result could be attributed to a social desirability bias, consistent downgrading of the Turkish accent on Superiority provides an indication of the existence of an accent bias that penalises ethnic minority accents in competence-related judgements
Replication Data for: "Vortex structures under dimples and scars in turbulent free-surface flows" (PART 1/4)
No full textThis data archive (along with parts 2-4) contains simulation data for direct numerical simulations of isotropic turbulence interacting with a free surface, for different Reynolds numbers and Weber numbers. The data is generated by computing time evolution of the incompressible Navier-Stokes equations and continuity equation on a three-dimensional domain, which is periodic in horizontal directions, restricted from above by a deformable free surface (resolved by the kinematic and dynamic boundary conditions on a surface-adhering grid) and below by a free-slip boundary. Turbulence is generated by linear forcing in the centre of the domain.
For more detail on the simulations, parameters and flow problem, see the research article "Vortex structures under dimples and scars in turbulent free-surface flows", by Aarnes, JR, Babiker, O, Xuan, A, Shen, Lian, and Ellingsen, SA, in the Journal of Fluid Mechanics (2025).
The data archive is split over four different repositories (case details in Aarnes et al., 2025).):
Part 1: Data for case 1, Re = 2500, We = infinity. (doi.org/10.18710/XQ81WH)
Part 2: Data for case 2, Re = 2500, We = 20. (doi.org/10.18710/MBK9JF)
Part 3: Data for case 3, Re = 2500, We = 10. (doi.org/10.18710/PN7DZA)
Part 4: Data for cases 4-6, Re = 1000, We = infinity, 20, 10. (doi.org/10.18710/UAT043)
Each archive also contains the same readme file with instruction on how to get started and a data loader script which can read the binary files which the .tar-files contain.
Due to storage limitations, only data for the upper part of the flow is included in this data archive. The thickness of the upper part is two times the viscous boundary layer. Moreover, the data is limited to approximately half of each time series, also to limit the storage requirement
GNSS Total Electron Content Data (60 s) at Bjørnøya in 2024
No full textThis data set contains Total Electron Content data at 60 seconds time resolution from 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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Data for: Transhumance and Shielings in Møre & Romsdal in the Iron and Middle Ages
No full textThe dataset is associated with the article "Transhumance and Shielings in Møre and Romsdal in the Iron and Middle Ages: A Refined Regional Chronology Based on Aggregated Radiocarbon Dates from Development-led Surveys and Small-scale Research Projects," submitted for publication and accepted in the Norwegian Archaeological Review (NAR) 2025. The datasets have also been submitted as supplementary documentation to the journal. The dataset is part of the undersigned's (Kristoffer Dahle) PhD and deals with C14 datings from archaeological surveys in Møre and Romsdal, with the aim of establishing a chronology for the use of shielings. The dates are either published, public (offical reports) or the use is approved
3D scan data of the Dagsgardsloftet log house at Maihaugen Museum in Lillehammer, Norway
No full textHigh-resolution 3D scan data of the Dagsgardsloftet wooden log house, located in the park of the Maihaugen Museum in Lillehammer, Norway, was acquired as the fundamental dataset for Sarujan’s master’s thesis on HBIM-related analyses. Beyond its role in academic research, the resulting point cloud also serves as valuable documentation of Norwegian cultural heritage. Thanks to its controlled geometric accuracy, the dataset can further function as a reliable reference for future investigations into laser scanning data acquisition.
The scanning was carried out using a Leica P40 terrestrial stationary laser scanner. To ensure geometric accuracy, a local geodetic network was established using a Leica TS16 total station. For georeferencing both the geodetic network and the scan data, preliminary coordinates were obtained with a Leica GS18 GNSS receiver, utilizing RTK corrections provided through Kartverket’s CPOS positioning service.
The horizontal reference system is EUREF89 NTM Zone 10, and the elevation reference system is NN2000.
Fieldwork was conducted on November 18th, 19th, and 27th, 2024
Background data for "Combined short- and long-read metabarcoding of the soil fungi Archaeorhizomycetes reveals high phylogenetic diversity structured by vegetation and climate"
No full textArchaeorhizomycetes is a class of globally widespread soil-dwelling fungi, originally proposed to be associated with plant roots, but their ecology and nutritional mode are not clearly defined. Here, we have sequenced and aligned approximately 2500 bp of the ribosomal DNA from 18S (covering the V4 region), ITS and well into 28S. Sequences have been aligned using the 'linsi' algorithm in MAFFT v7.505 (Katoh & Standley, 2013). The alignment was trimmed for ambiguously aligned positions with trimAl using the –gappyout option (Capella_Gutiérrez et al., 2009).The phylogenetic tree was constructed with IQ-TREE v2.2.2.3 (Nguyen et al., 2015). The best fitting model was determined to be GTR+F+I+R5 by ModelFinder (Kalyaanamoorthy et al., 2017), and support values for the tree were calculated with the SH-like approximate likelihood ratio test (aLRT) and ultrafast bootstrap approximation UFBoot (Hoang et al., 2018), both with 1000 replicates
Replication data for «Genomic relationship-based selection of unrelated individuals»
No full textThis is the Norway spruce dataset used in our study to demonstrate a novel formulation to select an optimal subset of individuals under a strict maximum tolerable pairwise genomic relationship threshold. We construct a binary matrix of ’related’ and ’unrelated’ pairs based on this threshold. This reformulation transforms the problem from a complex non-linear program into a binary integer linear program. While this formulation remains NP-hard, the linearity allows modern solvers to efficiently navigate the solution space and provide a guaranteed global optimum, a key advantage over heuristic approaches. We demonstrate the method using two distinct datasets: a large Norway spruce breeding population and a conservation population of German Black Pied cattle. We explore the trade-offs between the selection response, the relationship threshold, and the maximum number of unrelated individuals
Betula + Carpinus + Fraxinus (P_Bet_Car_Fra) map for 2020
No full textThis dataset provides a high-resolution (10 m) pan-European map of forest Betula + Carpinus + Fraxinus (P_Bet_Car_Fra) for the year 2020, 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