151 to 160 of 206 Results
Feb 7, 2022
Fuglerud, Silje Skeide, 2022, "Replication data for "Performance improvement in a supercontinuum fiber-coupled system for near infrared absorption spectroscopy"", https://doi.org/10.18710/IZ63JH, DataverseNO, V1
The data taken supports the development and characterization of a near-infrared absorption spectroscopy system. Near infrared spectroscopy (NIR) is a technique that can be used for several applications, for example in analytical chemistry. However, the method requires a high SNR which mostly constrains very accurate analysis to costly lab instrumen... |
Jan 25, 2022
Völker, Johannes; Ashcroft, Felicity; Vedøy, Åsa; Zimmermann, Lisa; Wagner, Martin, 2022, "Raw data for "Adipogenic activity of chemicals used in plastic consumer products"", https://doi.org/10.18710/6MEOMA, DataverseNO, V1
This dataset contains the raw data of the chemical analysis described in the associated publication, namely the mass spectral data of the plastic extracts analyzed using UPLC-QTOF-DDA. For experimental details on the nontarget analysis, see the Supporting Information of the publication. The data uploaded here are in the Waters .raw file format that... |
Pastore, Zeudia, 2022, "Replication Data for: 3D joint inversion of scanning magnetic microscopy data", https://doi.org/10.18710/M5FSHT, DataverseNO, V1
The dataset includes magnetic inversion results and high-resolution magnetic scan data of a 5 mm-thick norite sample from the Bjerkreim-Sokndal layered intrusion in South Norway. The datasets includes magnetic data acquired both above and below the sample and electron backscattered images of the sample. Inversion of the data provided an estimation... |
Dec 21, 2021
Kaspersen, Eivind, 2021, "Eye-tracking data for classification of geometric shapes", https://doi.org/10.18710/TEJDSF, DataverseNO, V1
Eye-tracking data for geometric classification tasks for abstract and non-abstract thinking. How to develop and assess abstraction processes are longstanding methodical problems in mathematics education. Recently, the advent of eye tracking technology has spurred a discussion about whether eye movement analysis can support valid inferences about ma... |
Dec 17, 2021
Bremnes, Heming Strømholt, 2021, "Data for ‘Computational Complexity Explains Neural Differences in Quantifier Verification’", https://doi.org/10.18710/M6VT6Z, DataverseNO, V1
Different classes of quantifiers provably require different verification algorithms with different complexity profiles. The algorithm for proportional quantifiers, like `most', is more complex than that for nonproportional quantifiers, like `all' and `three'. We tested the hypothesis that different complexity profiles affect ERP responses during se... |
Artuso, Paolo; Tosato, Giacomo; Rosetti, Antonio; Minetto, Silvia; Marinetti, Sergio; Hafner, Armin; Banasiak, Krzysztof, 2021, "Replication data for: Dynamic Modelling and Validation of an Air-to-Water Reversible R744 Heat Pump for High Energy Demand Buildings", https://doi.org/10.18710/0UMYZ9, DataverseNO, V1
In 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 c... |
Dec 5, 2021
Strand, Andreas; Kjølaas, Jørn; Bergstrøm, Trond H.; Steinsland, Ingelin; Hellevik, Leif R., 2021, "Replication Data for: Closure Law Model Uncertainty Quantification", https://doi.org/10.18710/3OJHDN, DataverseNO, V1
The prediction uncertainty in simulators for industrial processes is due to uncertainties in the input variables and uncertainties in specification of the models, in particular the closure laws. In this work, the uncertainty in each closure law was modeled as a random variable and the parameters of its distribution were optimized to correctly quant... |
Nov 24, 2021
Artuso, Paolo; Tosato, Giacomo; Rossetti, Antonio; Minetto, Silvia; Marinetti, Sergio, 2021, "Replication data for:MultiPACK Project: Two years of data monitoring of all-CO2 retail stores within the MultiPACK project", https://doi.org/10.18710/Z33Q8X, DataverseNO, V1
This dataset includes the data for two different integrated units installed in typical Italian neighbourhood supermarkets are considered. The two supermarkets are respectively located in the north-east area of Italy (Trento, Figure 1a), characterized by a relatively mild climate during summer and an harsh winter, and in the central area of Italy (R... |
Artuso, Paolo; Tosato, Giacomo; Hafner, Armin; Rossetti, Antonio; Minetto, Silvia; Marinetti, Sergio, 2021, "Replication Data for: MultiPACK Project: Field data of integrated CO2 heat pump systems for Italian hotels in the MultiPACK project", https://doi.org/10.18710/UNIYBZ, DataverseNO, V1
The EU project MultiPACK supports the design, construction, installation and monitoring of reversible heat pump units using CO2 as the refrigerant, providing air conditioning, heating and domestic hot water. The design includes the use of two-phase ejectors and natural circulation evaporators to improve efficiency and can use both external air and... |
Nov 1, 2021
Matveeva, Regina; Falck Erichsen, Merete; Koch, Henrik; Høyvik, Ida-Marie, 2021, "The effect of midbond functions on interaction energies computed using MP2 and CCSD(T)", https://doi.org/10.18710/2FWECY, DataverseNO, V1
This 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... |
