71 to 80 of 1,848 Results
Jul 4, 2025 - TROLLing
Verbeke, Gil; Van Praet, Wout, 2025, "Replication Data for: The interplay between prosodic prominence and boundary strength in the production of English checked steady-state vowels", https://doi.org/10.18710/QRXULF, DataverseNO, V2
Dataset abstract This dataset contains the measurements of 210 checked steady-state vowels. Previous studies have shown that suprasegmental factors have an impact on the duration of vowels, such as prosodic boundary strength and the proximity to the end of an intonation unit boundary. To the previous findings, this study adds another potential fact... |
Jul 1, 2025 - NTNU – Norwegian University of Science and Technology
Wallisch, Joachim, 2025, "Replication Data for: "UAV Icing: Drag Increase Prediction Based on Batch-Automated CFD Simulations"", https://doi.org/10.18710/QK4XH3, DataverseNO, V1
This dataset contains the summarized simulation results used in the paper "UAV Icing: Drag Increase Prediction Based on Batch-Automated CFD Simulations". The aim of the paper is to compare existing correlations for the drag increase to numerical simulations and to develop a new drag prediction based on simulated data. Python code can be found under... |
Jul 1, 2025 - NTNU – Norwegian University of Science and Technology
Tee, Yi Hui; Dawson, James R.; Hearst, R. Jason, 2025, "Replication Data for: Volumetric study of particle-wake interactions based on free falling finite particles", https://doi.org/10.18710/1RP4OT, DataverseNO, V1
This dataset consists of the time-resolved three-dimensional velocity flow fields and the reconstructed point-clouds of the finite settling particles as described in the article titled: "Volumetric study of particle-wake interactions based on free falling finite particles" which is published in the Experiments in Fluids. The velocity vectors and th... |
Jul 1, 2025 - NTNU – Norwegian University of Science and Technology
Rattigan, Wayne; Welch, Janet; Vizma, Janni, 2025, "ELVHYS 4.2 - Leakage into cold room/tank connection space considering barriers and obstacles", https://doi.org/10.18710/JXJP0H, DataverseNO, V1
This dataset contains experimental data for an experimental campaign undertaken as part of the ELVHYS project No. 101101381, supported by the Clean Hydrogen Partnership and its members. HSE participation in Horizon Europe Project ELVHYS is supported by UKRI grant number 10070592. HSE participation is further supported by Lloyd’s Register Foundation... |
Jul 1, 2025 - NTNU – Norwegian University of Science and Technology
Rattigan, Wayne; Welch, Janet; Vizma, Janni, 2025, "ELVHYS 4.1 Oxygen enrichment and condensed phase explosions", https://doi.org/10.18710/YGHHTR, DataverseNO, V1
This dataset contains experimental data for an experimental campaign undertaken as part of the ELVHYS project No. 101101381, supported by the Clean Hydrogen Partnership and its members. HSE participation in Horizon Europe Project ELVHYS is supported by UKRI grant number 10070592. HSE participation is further supported by Lloyd’s Register Foundation... |
Jun 30, 2025 - Norwegian University of Life Sciences (NMBU)
Bakke, Ingrid, 2025, "Supporting Data for: Non-target and suspect screening of volatile organic compounds from Scots pine and Norway spruce building materials", https://doi.org/10.18710/LEDWMF, DataverseNO, V1
This study aimed to identify unknown and undocumented volatile organic compounds (VOC) in the emission profile of common wood building materials for indoor use. 4 samples of cross-laminated timber, 12 samples of untreated spruce panel and 4 samples of untreated pine panel were subjected to chamber emission tests following the method description in... |
Jun 27, 2025
Fjellvåg, Øystein S., 2025, "Tutorial data for the DMCpy software", https://doi.org/10.18710/5H6KYK, DataverseNO, V2
This dataset contains .hdf files, which are raw data from the DMC instrument (https://www.psi.ch/en/sinq/dmc) at the SINQ, Paul Scherrer Institute, Switzerland. The instrument is a constant-wavelength powder and single-crystal neutron diffractometer optimized to study magnetism in condensed matter systems using cold neutrons. The data files are for... |
Jun 25, 2025 - NTNU – Norwegian University of Science and Technology
Kristensen, Susanna Dybwad; Maidana, Renan Guedes; Utne, Ingrid Bouwer; Bremnes, Jens Einar, 2025, "Replication Data for: Evaluating the effect of risk metrics for supporting operational decision-making by autonomous surface vehicles", https://doi.org/10.18710/QXU0FQ, DataverseNO, V1
This dataset contains replication data for the study reported in the paper “Evaluating the effect of risk metrics for supporting operational decision-making by autonomous surface vehicles” (submitted). The goal was to investigate how the choice of risk metric affects the behavior of an autonomous surface vehicle (ASV) that uses risk information fro... |
Jun 23, 2025 - NTNU – Norwegian University of Science and Technology
Robin André Rørstadbotnen; Martin Landrø, 2025, "Replication Data for: On the variation of ocean surface gravity wave characteristics with wind speed and direction: A case study from offshore Svalbard, Norway", https://doi.org/10.18710/9HCDO7, DataverseNO, V1
A dataset containing re-sampled data used to optain the results presented in the paper 'On the variation of ocean surface gravity wave characteristics with wind speed and direction: A case study from offshore Svalbard, Norway' publised in 2025. It contains processed strain data in strain unit, converted from the time-differentiated phase measured b... |
Jun 23, 2025 - Norwegian University of Life Sciences (NMBU)
Hawley, K.L.; Thaulow, J.; Urke, H.A.; Kristensen, T.; Barson, N.J.; Haugen, T.O, 2025, "Replication Data for: Dispersal and gene flow among potential spawners: source-sink structure among populations of anadromous brown trout exposed to multi-faceted anthropogenic impacts.", https://doi.org/10.18710/IGV7XU, DataverseNO, V1
Dispersal has consequences for individual fitness but can also influence local dynamics, stability, and adaptation in interconnected populations. Anadromous salmonid fishes are famed for their precise homing and adaptations to local aquatic environments, whilst navigating between multiple connected habitats. However, recent studies have instead dem... |
