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Replication Data for: Micrometer-scale sediment grain-size prediction using X-Ray Fluorescence geochemistry and Computed Tomography density scanning data
No full textThis dataset contains the data generated for the study "Micrometer-scale sediment grain-size prediction using X-Ray Fluorescence geochemistry and Computed Tomography density scanning data" by Auer et al. 2025.
The study presents a method that allows micrometer-scale prediction of mean grain size. The authors integrate grain size-sensitive Computed Tomography (CT) density data into a linear regression-based modelling approach that relies on X-ray fluorescence (XRF) geochemistry. Via experiments on synthetic cores and real-world applications on sediment cores with published grain-size profiles, the study demonstrates that CT scans improve the predictability of grain size, especially in sediments with a homogenous geochemistry, where CT data can be used as a sole predictor
Supporting Data for: Fish Show Genetic Evolutionary Responses to River Regulation
No full textEco-hydraulics traditionally aims at managing riverine systems in a semi-natural state while meeting human demands, assuming aquatic species are evolutionarily static. However, evidence of rapid evolution suggests that ignoring evolutionary dynamics of fish species might limit long-term effectiveness of eco-hydraulics frameworks. It remains unclear how freshwater fish adapt to human perturbation. Why are some fish populations more resilient to human perturbation than others? What are the genetic mechanisms behind it? To answer these questions, we genotyped eleven populations of three-spined stickleback in a regulated river system and collected data on river morphology, connectivity, flow regimes, physico-chemistry and parasite abundance through a combination of field surveys and modelling. Gene-environment association analysis detected strong signals of genetic divergence associated with hydraulic features. Gene ontology analysis revealed evolutionary responses that primarily involve functions in the nervous and sensory systems. These findings demonstrate that fish can evolve in response to river regulation, highlighting the need to transition from eco-hydraulics toward eco-evo-hydraulics. Our results can currently be accessed through a non-peer-reviewed bioRxiv preprint at Cai and Deflem et al. (2025), Fish Show Genetic Evolutionary Responses to River Regulation (DOI: 10.1101/2025.08.01.668107). This supporting dataset includes Genotyping-by-Sequencing data from 14 populations of three-spined stickleback collected in 2017 from the Demer Basin, Belgium, together with parasite and habitat data from the paired sampling sites. After quality filtering, 11 populations were retained and analyzed in Cai and Deflem et al. (2025)
Specific Power Output of Wind, Solar and Wave Energy Devices Located in the Vicinity of a Recirculating Aquaculture System in Western Norway
No full textThis dataset contains the specific power output of a wind turbine, photovoltaic array and wave energy converter between years 2012 and 2021 with hourly data.
The specific power output is the current power output of the device at a given timestamp in relation to its peak power output
Does standardization matter? Evaluating the potential of the Common European Framework of Reference for Languages (CEFR) to foster labour market inclusion of immigrants (DISCEFRN): Web-scraped dataset
No full textThis dataset contains the web-scraped information on the language requirements of about 90,000 job-ads collected within the DISCEFRN project (see metadata section Funding Information). Within DISCEFRN, we collected and analysed the language requirements for all job-ads that were released in one of Norway’s main online job-sites over the course of one year (01/2024-12/2024). We were specifically interested in the prevalence of CEFR-based requirements in the Norwegian labour market, and in the CEFR levels that were required for different professions.
This dataset contains all the web-scraped information, most notably on language requirements (CEFR level, non-subjective formulations) and occupational type (ISCO, SIC). It is a stand-alone dataset and contains all relevant data to re-produce associated publications (See metadata field on Publications) or be reused for other research interests. Yet, it can still be linked to additional DISCEFRN datasets, i.e. the vignette-study data set, where a subsample of employers who advertised these job-ads participated in a survey experiment (https://doi.org/10.18710/6YMZLS).</p
Replication Data for: Level-marked tasks in lower secondary mathematics: The effect on girls’ and boys’ self-efficacy and performance
No full textThis dataset was collected through a survey conducted in 2021 and includes responses from 349 students (boys and girls) attending lower secondary schools in Norway. The primary objective of the data collection was to investigate how task difficulty labels influence students’ self-efficacy and performance in mathematics, with particular attention to gender differences. Variables included in the dataset: (1) Gender, (2) Self-efficacy related to three mathematics tasks, measured both before and after the tasks were presented with difficulty labels, (3) Performance on the same three mathematics tasks, (4) Task difficulty labels assigned to each task (experimental variable: easy, medium, or difficult). This dataset enables analysis of how labelling mathematics tasks as “easy”, “medium”, or “difficult” affects students’ self-efficacy and performance, and how these effects may differ across genders
Grunnlagsmateriale for: Praksis og behov i forskningsdatakuratering i Norge
No full textThis dataset contains raw data and processed data from the survey "Praksis og behov i forskningsdatakuratering i Norge" ('Practice and needs in research data curation in Norway'), carried out in fall 2022 as part of the project "Kuratornettverk for FAIR forskningsdata" ('Curation Network for FAIR Resarch Data'), which aimed at establishing a national curation network across research organizations in Norway.
The main goal of the survey was to map practices and needs related to research data curation in Norway. The results from the survey were used as input and basis for the project group to decide on how the planned national curation network should be organized and what services it should provide.
The main target group for participating in the survey were people who work with research data curation or who will have this as (one of) their future tasks in their work at Norwegian research organizations. There were 57 responses submitted to the survey. Three of the respondents did not consent to their responses being openly published. These responses are not included in this dataset. The data in this dataset thus contain 54 responses.
The survey results are presented in a survey report (Conzett, 2025).</p
Multibeam bathymetry of the Polaris Mud Volcano Complex, Southwestern Barents Sea
No full textMultibeam bathymetry data covering the 10 mud volcanoes constituting the Polaris Mud Volcano Complex, Southwestern Barents Sea. Data were collected on-board R/V Kronprins Haakon during the EXTREME24 cruise in 2024. During the cruise, multibeam bathymetry was processed and refined using QPS Qimera Software. Grid surfaces with a resolution < 10 m were generated
Replication Data for: Defective verbs in Portuguese: a morphomic approach
No full textThis data is used in an article which provides evidence via corpus data and statistical methods that defective verbs in Portuguese constitute a psychological reality for speakers. It looks at the different explanations for defective verbs in Portuguese and argues that the morphome-based explanation for Spanish defective verbs is the most appropriate to explain defective verbs in Portuguese. Morphomes are abstract distributional patterns of allomorphy based on form-form correspondences alone.
This dataset contains the frequency values from the corpus study that I used to create the regression models in the study. It also contains raw frequency values from the same corpus for the supposed defective verbs upon which the statistical model was run. Results from statistical model are also included.</p
Amalie Wergelands application for remission of fine
No full textScanned folder from the collections of The National Archives in Norway. Archival reference AV/RA-S-1037/D/Da/L0126: Journalsaker A 2 nr. 1201-1350. (Justisdepartementet, Kriminalkontor). Folder no. 1846/1279.
The case file contains an application for remission of a fine. The applicant was Amalie Wergeland, widow of Henrik Wergeland. The fine in question was from a case brought against her husband six years earlier. The case file include assessments of the case from Supreme Court and from the County commissioner.
The case file is handwritten, this data entry also contains a transcription of the contents.</p
Replication Data for: "Vortex structures under dimples and scars in turbulent free-surface flows" (PART 2/4)
No full textThis data archive (along with parts 1, 3 and 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