21 to 30 of 1,818 Results
Jan 23, 2026 - UiT The Arctic University of Norway
Sartipzadeh, Kian; Kvammen, Andreas; Gustavsson, Björn; Gulbrandsen, Njål; Johnsen, Magnar G.; Huyghebaert, Devin; Vierinen, Juha, 2026, "Replication Data for: Plasma Density Estimation from Ionograms and Geophysical Parameters with Deep Learning", https://doi.org/10.18710/CFSVA2, DataverseNO, V1
This dataset contains the replication data and code for the article "Plasma Density Estimation from Ionograms and Geophysical Parameters with Deep Learning". The project introduces "Kian-Net", a deep learning model designed to estimate electron density profiles in the ionosphere by fusing ionogram images with geophysical parameters. The Kian-Net mo... |
Jan 22, 2026 - NTNU – Norwegian University of Science and Technology
Trivedi, Chirag, 2026, "Computational fluid dynamic simulation of a pump-turbine", https://doi.org/10.18710/ECWM4E, DataverseNO, V1
The data correspond to the computational fluid dynamic simulations of a reversible pump-turbine. A three-dimensional simulation of the turbine was conducted under different operating conditions, design load, high load and part load. Prior to the simulations, several observation points were created inside the numerical model that allowed to acquire... |
Jan 21, 2026 - University of South-Eastern Norway
Weiss, Michael, 2026, "Supporting Data for: Innovation through Intuition", https://doi.org/10.18710/JIM3KS, DataverseNO, V1
This dataset contains 5 guided imagery exercises which are part of the mirco course "Innovation through Intuition" as to be published in the Publication Series from the University of South-Eastern Norway. These audio exercises are grounded in the Trilogos Method, a contemplative practice designed to support intuition, reflection, and actionable ins... |
Jan 20, 2026 - UiT The Arctic University of Norway
Erhart, Claudia; Nahrgang, Jasmine; Creese, Mari Egeness; Dubourg, Paul; Frantzen, Marianne; Hansen, Bjørn Henrik; Hansen, Øyvind Johannes; Meador, James P.; Michon, Elisa; Odei, Derrick Kwame; Puvanendran, Velmurugu; Sørensen, Lisbet, 2026, "Replication Data for: Crude oil exposure during gametogenesis in the batch-spawning Atlantic cod (Gadus morhua): Effects on gametes and maternally exposed offspring development", https://doi.org/10.18710/FXMESS, DataverseNO, V1
This dataset includes data collected during a multigenerational crude oil exposure experiment involving Atlantic cod (Gadus morhua) broodstock. Mature cod in late gametogenesis were exposed for 20 days to either a crude oil water-soluble fraction or untreated seawater. After exposure, fish from both groups were repeatedly strip-spawned, and egg bat... |
Jan 20, 2026 - University of Oslo
Dunnett, Kirsty, 2024, "Data for Project: How Isostasy is presented in Introductory Geosciences Textbooks", https://doi.org/10.18710/VW7OE4, DataverseNO, V2
This dataset contains the background data for a multi-method study on the presentation of the topic of isostasy in predominantly introductory geosciences textbooks. It includes information on the textbooks considered and the short quotes that indicated areas of particular relevance to the questions of interest. The introductory textbooks were those... |
Jan 16, 2026 - University of South-Eastern Norway
Barahmand, Zahir, 2026, "Supplementary dataset and reproducible codes for LLM-assisted mapping feedstocks of eight conversion technologies from over 121,000 studies", https://doi.org/10.18710/JM6U7B, DataverseNO, V1
This dataset was developed to systematically characterise feedstock–technology relationships across eight major biomass conversion technologies by mining a large Scopus-derived bibliographic corpus (1887–2025; partial coverage for 2025). The workflow is LLM-assisted and fully reproducible, combining automated extraction of feedstock and technology... |
Jan 12, 2026 - NTNU – Norwegian University of Science and Technology
Hillestad, Johannes Næsset; Yadala, Srikar; Li, Leon; Hearst, R. Jason; Worth, Nicholas A., 2026, "Volumetric three-dimensional experimental measurement of a model wind turbine wake", https://doi.org/10.18710/SX0ZQT, DataverseNO, V1
This dataset contains time-resolved, volumetric, three-dimensional velocity fields of the near wake of a model wind turbine (WT). The velocity fields were obtained experimentally using particle tracking velocimetry (PTV), specifically the Shake-the-Box (STB) algorithm. The Eulerian velocity fields were calculated from the particle tracks using Vort... |
Jan 8, 2026 - UiT The Arctic University of Norway
Kalinová, Jana, 2026, "Supporting Data for: Differential expression of VA opsin transcript variants in tissues linked to photoperiodic time measurement in Svalbard rock ptarmigan", https://doi.org/10.18710/MEZX57, DataverseNO, V1
Supporting Data for: Differential expression of VA opsin transcript variants in tissues linked to photoperiodic time measurement in Svalbard rock ptarmigan Abstract: Photoperiodic time measurement is the process through which annual changes in daylength are integrated to synchronize seasonal physiological and behavioral responses. Unlike mammals, w... |
Jan 6, 2026 - University of Agder
Feodor Svetlanov Konomaev; Mithuss Tharmalingam; Kjetil M. D. Hals, 2025, "Replication Data for: Spin-Seebeck Signatures of Spin Chirality in Kagome Antiferromagnets", https://doi.org/10.18710/CN2VGX, DataverseNO, V2
Replication Data for the article "Spin-Seebeck Signatures of Spin Chirality in Kagome Antiferromagnets" submitted in Physical Review B (2025). The file ‘Fig2.txt’ contains the energy of the three spin-wave bands of the kagome antiferromagnet when it is in the (+)- and (-)-chiral state as a function of the momentum along the x- and y-directions, whi... |
Jan 6, 2026 - University of Inland Norway
Khatri, Shumaila; Sjølie, Hanne K.; Nyrud, Anders Q., 2026, "Replication Data for: Municipalities as buyers of reclaimed building material: Previous experience and future outlook", https://doi.org/10.18710/0OHXF7, DataverseNO, V1
Data was collected from 104 municipalities in Norway via phone interviews administered by Norstat AS. The data collection period was 19th August till 5th September 2024. The study aims to investigate factors that would convince public buyers to incorporate recycled construction materials in their tender process. For this purpose, municipal represen... |
