2026-05-31T02:15:18Zhttps://dataverse.no/oaidoi:10.18710/0NO42L2025-11-07T02:00:19Zntnuearth_and_environmentaldataversenoHarvesterDataverseNODrone-based mapping of Gruvefjellet in Spring and Summer for cornice risk assessmenthttps://doi.org/10.18710/0NO42LHann, RichardDataverseNOThis dataset relates to a drone mapping campain on Gruvefjellet in Svalbard during 2022. Two campains were conducted, one in spring and one in summer. The objective of the campain was to investigate the size of the snow cornices on Gruvefjellet with respect to the risk of cornice-triggered avalanches. Mapping was conducted with a DJI Mavic 2 Pro Enterprise. Results contain a digital elevation model (DEM), an model (.STL and .PDF) with texture (.JPG), a tiled model that contains the same information as the model and texture in Agisoft tiled model format (.TLS, propritary Agisoft format), and a process report (.PDF/Archivable). The raw images are stored inside a zip file that has been split into multiple parts due to the large file size.Earth and Environmental SciencesGruvefjelletSvalbardcornicedronemapping2022-09-12Hann, RichardDatasetdoi:10.18710/0UMYZ92025-11-07T02:00:19ZntnuHarvesterDataverseNOdataversenoReplication data for: Dynamic Modelling and Validation of an Air-to-Water Reversible R744 Heat Pump for High Energy Demand Buildingshttps://doi.org/10.18710/0UMYZ9Artuso, PaoloTosato, GiacomoRosetti, AntonioMinetto, SilviaMarinetti, SergioHafner, ArminBanasiak, KrzysztofDataverseNOIn this dataset, data from the pre-commissioning tests of the MultiPACK unit for hotels that were carried out at the factory’s facilities were shared.
The scheme of the refrigerating system is provided in Figure 1, while the characteristics of the main components are listed in Table 1. The unit has two semi-hermetic compressors (compressor(1) and compressor(2)), two brazed-plate gas-coolers (gas-cooler(1) and gas-cooler(2)), a finned-coil heat exchanger (gas-cooler/evaporator(3)), an internal heat exchanger (IHX) between the compressor suction line and gas-cooler outlet line, a back-pressure valve (BPV), a multi-ejector rack, a low-pressure receiver (LPR) and an electronic expansion valves (EEV(1)). The operation of the system can be switched between two main configurations, i.e. heat pump and chiller, by means of circulation valves located in the circuit.EngineeringReversible heat pumpAir conditioningCarbon dioxidenumerical simulationHeat pumpintegrated refrigeration system2021-12-09Söylemez, EnginDatasetdoi:10.18710/1JHD7A2025-11-07T02:00:19ZntnuHarvesterDataverseNOdataversenoReplication Data for: Performance investigation of refrigeration systems for freezing tunnelshttps://doi.org/10.18710/1JHD7ABjurhult, Thomas HellelandDataverseNOThis dataset contains temperature measurements from one of the batch blast freezers at Pelagia Kalvåg, during freezing of atlantic herring.EngineeringCommercial refrigeration2024-06-10Bjurhult, Thomas HellelandBjurhult, Thomas HellelandDatasetdoi:10.18710/1NBWW52025-11-07T02:00:19ZntnuHarvesterDataverseNOdataversenoReplication Data for: Volumetric visualization of vanishing vortices in wind turbine wakeshttps://doi.org/10.18710/1NBWW5Hillestad, Johannes N.Yadala, SrikarNeunaber, IngridLi, LeonHearst, R. JasonWorth, Nicholas A.DataverseNOThis dataset contains the data required to reproduce the figures in the paper: "Volumetric visualization of vanishing vortices in wind turbine wakes". It contains results based on velocity fields obtained by particle tracking velocimetry using the Shake-the-Box algorithm in the near wake of a model wind turbine (WT). The results presented discuss the physics involved in the problem using power spectral density (PSD) plots at different spatial locations in the near wake, as well as visualisation of the coherent vortical structures identified using Lamb vector magnitude as the vortex identification scheme.EngineeringPhysicsParticle Tracking VelocimetryShake-the-BoxWind turbineWind energyEnglish2024-07-01Hillestad, Johannes NæssetDatasetdoi:10.18710/1RP4OT2025-11-07T02:00:19ZntnudataversenoHarvesterDataverseNOReplication Data for: Volumetric study of particle-wake interactions based on free falling finite particleshttps://doi.org/10.18710/1RP4OTTee, Yi HuiDawson, James R.Hearst, R. JasonDataverseNOThis 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 the point-clouds were obtained via the Shake-The-Box technique and the Iterative Particle Reconstruction method, respectively. Four different particle geometries with a longest length scale of 12 mm and same volume (density ratio of 1.15) were investigated: sphere, circular cylinder, square cylinder and flat cuboid. The data set includes two different flow situation: 1) the particle was falling individually into the quiescent flow; 2) the particle was falling immediately after a group of 20 leading particles which generated a bulk wake. This work was funded by the European Union (see funding information): Views and opinions expressed are, however, those of the authors only and do not necessarily reflect those of the European Union, the Research Executive Agency, or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.Abstract from the manuscript: Research on free falling particles has predominantly focused on wake dynamics and vortex shedding of individual particles in quiescent flow. However, when these particles fall collectively, the wakes of neighboring particles alter the flow fields. To investigate how the settling and wake dynamics of particles are affected by the wakes of other settling particles, we conducted volumetric experiments using the shake-the-box technique. Negatively buoyant 12 mm particles of four different geometries (sphere, flat cuboid, circular, and square cylinders) were first released individually into quiescent water. Subsequently, the particles were released individually into the bulk wakes of 20 monodisperse particles. Using four high-speed cameras and LEDs, we simultaneously captured both 3D particle and fluid motions in the terminal velocity regime. The imaging domain measured 90 mm × 90 mm × 40 mm. Our results show that all trailing particles settling through the bulk wakes gain additional downward momentum from the turbulent wakes, causing them to fall faster than in quiescent flow. However, when the induced velocity of the preceding wakes is subtracted, the relative settling velocity was found to be essentially the same as the particle falling in quiescent fluid. Upstream of the particle, the vortices in the bulk wake interact with the developing shear layer along the particle. The wake downstream of the trailing particle also appears more chaotic than that in quiescent flow.EngineeringPhysicsSettling particlewakevortex sheddingexperimental techniqueshake-the-boxparticle trackingEnglish2025-07-01Tee, Yi HuiDatasetdoi:10.18710/2FWECY2025-11-07T02:00:19ZntnudataversenoHarvesterDataverseNOThe effect of midbond functions on interaction energies computed using MP2 and CCSD(T)https://doi.org/10.18710/2FWECYMatveeva, ReginaFalck Erichsen, MereteKoch, HenrikHøyvik, Ida-MarieDataverseNOThis data set contains contains raw data (monomer and dimer energy contributions for the A24 data set; interaction energies for the A24 and S66 data sets; number of basis functions for 53 complexes of the S66 data set) as well as geometries of A24 and S66 complexes including midbond centers (denoted X).
The MP2 and CCSD(T) calculations for the A24 and S66 data sets were utilized to explore how midbond functions can be used to generate cost effective counterpoise corrected supramolecular interaction energies of noncovalent complexes.
The calculations performed using the A24 data set showed that the primary role of midbond functions is not to approach the complete basis set limit, but rather to ensure a balanced description of the molecules and the interaction region (unrelated to the basis set superposition error).
For S66 the need for increasing the number of midbond centers was investigated. Addition of a second midbond center leads to an increase in accuracy, however, the effect is secondary to changing the atom centered basis set. Further, the comparison of calculations using the 3s3p2d1f1g midbond set with using aug-cc-pVDZ and aug-cc-pVTZ as midbond sets showed that the midbond set should not only contain diffuse functions, but also high angular momentum functions in order to be effective. The results for placing midbond centers using two different approaches show that interaction energies are not particularly sensitive to placement as long as the placement is reasonable.Chemistrymidbond functionsA24S66interaction energiesEnglish2021-11-01Matveeva, ReginaMatveeva, ReginaFalck Erichsen, MereteKoch, HenrikHøyvik, Ida-MarieDatasetdoi:10.18710/2O7QSP2025-11-07T02:00:19ZntnudataversenoHarvesterDataverseNOSupplementary data to fire experiments with I-joists and combustible insulationhttps://doi.org/10.18710/2O7QSPBøe, Andreas SæterDataverseNOThrough five experiments, a combination of I-joists with different flange sizes and different combustible insulation types (wood fibre, cellulose and phenolic foam) were exposed to the standard fire curve (ISO 834) in a medium-scale furnace. the aim was to better understand the charring mechanisms of the I-joist when protected with a combustible insulation. Thermocouples were embedded into and outside of the flanges and used to determine the charring rate of the I-joist and the recession rate for the insulation. After exposure, the final char depth and the remaining cross-section were measured. Raw data of temperature measurements are provided here. More information is given in the published paper: "Experimental Study of the Charring of I-Joists and Recession of Combustible Insulation in Light Timber Frame Assemblies with Comparison to Eurocode 5"EngineeringI-joistFireCombustible insulationDesign modelEnglish2023-11-22Bøe, Andreas SæterDatasetdoi:10.18710/2RFUMU2025-12-09T02:00:20ZntnudataversenoHarvesterDataverseNOReplication Data for: Dispersion of inertial finite-size particles in turbulent open-channel flowhttps://doi.org/10.18710/2RFUMUBenonisen, Petter RikheimR. Jason HearstYi Hui TeeDataverseNOThis dataset contains the data files required to reproduce the results of the journal article Benonisen, et al. (2025). Dispersion of inertial finite-size particles in turbulent open-channel flow. J. Fluid Mech., 1023, A32. https://doi.org/10.1017/jfm.2025.10851. It contains particle settling location data, particle trajectories in quiescent flow, and mean velocity profiles obtained from particle image velocimetry (PIV).Abstract of the journal article Benonisen, et al. (2025).
Plastic pollution in our aquatic systems is a pressing issue, and the spread of these particles is determined by several factors. In this study, the advection and dispersion of negatively buoyant finite-size particles of four different shapes (spheres, circular cylinders, square cylinders, and flat cuboids) and two sizes (6 and 9 mm) are investigated in turbulent open-channel flow. The volume, mass, and characteristic length are fixed for each size. Four different turbulent conditions are considered, varying the freestream velocity (0.25 and 0.38 m/s) and turbulence intensity (4 and 9 %). The particles are released individually from below the water surface. A catch grid is placed along the bottom floor to mark the particle landing location. The average particle advection distance remains unchanged between the turbulence levels, suggesting that the mean settling velocity is independent of turbulence in this regime. Based on the root mean square of the landing locations, the particle dispersion varies with particle shape, size, settling velocity, and turbulent flow conditions. For the square cylinders investigated in this work, the effect of particle shape on dispersion is difficult to predict at low flow velocities and turbulence intensities. As the turbulent fluctuations increase, the dispersion becomes more predictable for all shapes. An empirical expression is proposed to relate turbulent velocity fluctuations, integral length scales, particle settling velocity, and particle size to streamwise dispersion. It is found that finite-size inertial particles do not disperse per simple turbulent diffusion, meaning that particle geometry has to be incorporated into dispersion models.EngineeringPhysicsParticle/fluid flowTurbulent flowsAnisotropic particle-laden flowIntertial particlesParticle dispersionEnglish2025-12-08Benonisen, Petter RikheimDatasetdoi:10.18710/38HOYX2025-11-07T02:00:19ZntnuHarvesterDataverseNOdataversenoearth_and_environmentalReplication Data for: Acoustic occurrence of deep-diving cetaceans in the southern Adriatic Seahttps://doi.org/10.18710/38HOYXConstaratas, Alexandra NathalieHolcer, DraškoÖzgöbek, ÖzlemŠirović, AnaDataverseNOGoose-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.Earth and Environmental Sciencesacoustic occurrenceCuvier's beaked whaleecholocation clicksgoose-beaked whalepassive acoustic monitoringPhyseter macrocephalussouthern Adriatic Seasperm whaleZiphius cavirostrisEnglish2025-01-10Constaratas, Alexandra NathalieDatasetdoi:10.18710/39IFC72025-11-07T02:00:19ZntnuHarvesterDataverseNOdataversenoSimulation data for: REEF3D::NHFLOW—A high-performance non-hydrostatic solver for coastal wave propagationhttps://doi.org/10.18710/39IFC7Bihs, HansWang, Widar WeizhiDataverseNOThe data set contains the necessary simulation files and key output files for the results shown in the related publication. Specifically, the dataset should allow the reproduction of the benchmark cases simulated with the new non-hydrostatic model REEF3D::NHFLOW. The real-world cases are not included due to the sensitivity of the bathymetry data. Certain result deviations may occur due to different software versions.Engineeringwave modellingcoastal engineeringEnglish2025-09-08Wang, Widar WeizhiBihs, HansWang, Widar WeizhiBihs, HansWang, Widar WeizhiDatasetb2Zmc2V0OjoxMHxzZXQ6Om50bnV8cHJlZml4OjpvYWlfZGM=