61 to 70 of 195 Results
Apr 19, 2024
Stevens, Sarah; McPartland, Molly; Bartosova, Zdenka; Skåland, Hanna Sofie; Völker, Johannes; Wagner, Martin, 2024, "Raw data for "Plastic food packaging from five countries contains endocrine and metabolism disrupting chemicals"", https://doi.org/10.18710/LZNLFX, DataverseNO, V1
This dataset contains the raw data of the chemical analysis described in the associated publication (DOI: 10.1021/acs.est.3c08250), namely the mass spectral data of the plastic extracts analyzed using UPLC-QTOF-DDA. For experimental details on the nontarget analysis, see the Supp... |
Feb 26, 2025
Wang, Widar Weizhi; Christakos, Konstantinos; Pákozdi, Csaba; Bihs, Hans, 2025, "Simulation data for the NOR-SARAH approach presented at OMAE 2024", https://doi.org/10.18710/X5SXU0, DataverseNO, V1
The 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 SWAN, REEF3D::FNPF and REEF3D::CFD simulations. Certain result deviations may occur due to di... |
Jun 15, 2021
Lorås, Madeleine, 2021, "Supplementary data for study: Understanding the Relation Between Study Behaviors and Educational Design (Study 1)", https://doi.org/10.18710/MWLHOA, DataverseNO, V1, UNF:6:7HEHyifDmf5Dx/Ulb9Sdfg== [fileUNF]
It has been identified that the first-year experience is crucial to student motivation and throughput of study programs, therefore it is interesting to look at the state of the art of computer science study programs in Norway. This data is part of a PhD project and relates to Stu... |
Jun 15, 2021
Lorås, Madeleine, 2021, "Replication data for study: Understanding the Relation Between Study Behaviors and Educational Design (Study 2)", https://doi.org/10.18710/7TUIJL, DataverseNO, V1, UNF:6:N0MYkBNyQxg10anP+D595Q== [fileUNF]
Some research has indicated that the relationship between students' study behavior and their academic performance is as strong as the relationship to more common predictors such as past performance and test scores. However, knowledge about students' study behavior, how behavior d... |
Jun 21, 2021
Lorås, Madeleine, 2021, "Supplementary data for study: Study Behavior in Computing Education - a Systematic Literature Review", https://doi.org/10.18710/JQX7NW, DataverseNO, V1, UNF:6:LQDKoAmDxfuEr5P4kRzZOA== [fileUNF]
As the field of computing education grows and matures, bringing together computing education and higher education research becomes essential. Educational research has highlighted that how students study is crucial to their learning progress, and study behaviors have been found to... |
Jun 29, 2021
Graham, Sarah E.; Willer, Cristen J., 2021, "Summary statistics for "Sex-specific and pleiotropic effects underlying kidney function identified from GWAS meta-analysis"", https://doi.org/10.18710/J7ARK5, DataverseNO, V1
Chronic kidney disease (CKD) is a growing health burden currently affecting 10–15% of adults worldwide. Estimated glomerular filtration rate (eGFR) as a marker of kidney function is commonly used to diagnose CKD. We analyze eGFR data from the Nord-Trøndelag Health Study and Michi... |
Dec 7, 2020
Maximiliano, Crescitelli Alberto, 2020, "NorFisk Dataset", https://doi.org/10.18710/H5G3K5, DataverseNO, V1
Long-term autonomous monitoring of wild fish populations surrounding fish farms can contribute to a better understanding of interactions between wild and farmed fish, which can have wide-ranging implications for disease transmission, stress in farmed fish, wild fish behavior and... |
Apr 20, 2020
Riddervold, Hans Ole, 2020, "Replication Data for: A gradient boosting approach for optimal selection of bidding strategies: Simple model - Original variables", https://doi.org/10.18710/WNKSVX, DataverseNO, V1, UNF:6:gXehgeAeqs6FWVHODiWuAQ== [fileUNF]
Access to an increasing amount of data opens for the application of machine learning models to predict the best combination of models and strategies for bidding of hydro power in a de-regulated market for any given day. This data-set describe the historical performance-gap of two... |
Jun 17, 2021
Nielsen, Jonas B.; Willer, Cristen J., 2021, "Summary statistics for "Biobank-driven genomic discovery yields new insight into atrial fibrillation biology"", https://doi.org/10.18710/VC2PSH, DataverseNO, V1
To identify genetic variation underlying atrial fibrillation, the most common cardiac arrhythmia, we performed a genome-wide association study of >1,000,000 people, including 60,620 atrial fibrillation cases and 970,216 controls. We identified 142 independent risk variants at 111... |
Apr 10, 2024
Moksnes, Marta Riise, 2024, "Trace element GWAS summary statistics", https://doi.org/10.18710/UYPCL0, DataverseNO, V1
Trace elements are important for human health but may exert toxic or adverse effects. Mechanisms of uptake, distribution, metabolism, and excretion are partly under genetic control but have not yet been extensively mapped. Here we report a comprehensive multi-element genome-wide... |
