1,601 to 1,610 of 1,932 Results
Bjørlykke, Bjørn; Økland, Nils Tore Gram, 2020, "Vestlandssegner", https://doi.org/10.18710/XH0KCE, DataverseNO, V1, UNF:6:rkn/3n1YhkiNX+ThDw22oQ== [fileUNF]
Datasettet som ligg til grunn for www.segner.no. Segner.no har sitt utgangspunkt i segndatabasen 'Segner i Sunnhordland' frå tidleg på 1990-talet, og var knytt til Norskseksjonen på Stord lærarhøgskule ved Bjørn Bjørlykke og Nils Tore Gram Økland. Det var ein database som var mykje nytta i undervisning og praksis både i lærarutdanning og førskulelæ... |
Apr 24, 2020 - University of Bergen
Tenfjord, Paul, 2020, "Replication Data for: Interaction of cold streaming protons with the reconnection process", https://doi.org/10.18710/MEYFPM, DataverseNO, V1
Particle-in-cell simulation of magnetotail reconnection with streaming cold protons in inflow regions. The code solves Vlasov-Maxwell system, and outputs electric and magnetic fields, current densities, and densities. Used for manuscript titled 'Interaction of cold streaming protons with the reconnection process' by Tenfjord et al., 2020. Details,... |
Apr 20, 2020 - NTNU – Norwegian University of Science and Technology
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 given bidding strategies over several years (2016-2018). Data from tw... |
Apr 14, 2020 - UiT The Arctic University of Norway
Kvammen, Andreas; Wickstrøm, Kristoffer; McKay, Derek; Partamies, Noora, 2020, "Replication Data for: Auroral Image Classification with Deep Neural Networks", https://doi.org/10.18710/SSA38J, DataverseNO, V3
Results from a study of automatic aurora classification using machine learning techniques are presented. The aurora is the manifestation of physical phenomena in the ionosphere magnetosphere environment. Automatic classification of millions of auroral images from the Arctic and Antarctic is therefore an attractive tool for developing auroral statis... |
Cvrček, Václav, 2020, "Czech word and MWE lists", https://doi.org/10.18710/PGDWXC, DataverseNO, V1
This post contains word and MWE (multi-word expression) lists used for the operationalization of some of the linguistic features in the multi-dimensional analysis (MDA) of Czech project carried out at the Czech National Corpus. The MDA procedure requires identifying and operationalizing linguistic features relevant for register variation in the lan... |
Henriksen, André; Woldaregay, Ashenafi Zebene; Issom, David-Zacharie; Pfuhl, Gerit; Richard, Aude; Årsand, Eirik; Sato, Keiichi; Hartvigsen, Gunnar; Rochat, Jessica, 2019, "Replication data for: User expectations and willingsness to share self-collected health", https://doi.org/10.18710/28SRMJ, DataverseNO, V2, UNF:6:n0cjZA3X6VyQdVUJnYXoDg== [fileUNF]
This is a questionnaire used in a project where the aim was to understand what motivates people to share self-collected health data, collected by mobile wearables and sensors. |
Jackson, Steven, 2020, "Carbon Dioxide Transportation Energy Model", https://doi.org/10.18710/SAIANK, DataverseNO, V1
This dataset comprises a model for the calculation of the energy consumption associated with the transportation of CO2, the basis data for the model, validation data and a set of sample results. The model is intended for use as part of the study of Carbon Capture and Storage (CCS) chain alternatives. A description of the method used to develop the... |
Apr 1, 2020 - UiT The Arctic University of Norway
Thibert-Plante, Xavier; Præbel, Kim; Østbye, Kjartan; Kahilainen, Kimmo K; Amundsen, Per-Arne; Gavrilets, Sergey, 2020, "Supplementary data for: Using mathematical modelling to investigate the adaptive divergence of whitefish in Fennoscandia", https://doi.org/10.18710/PI8PJQ, DataverseNO, V1
These data constitute the supplementary material for the publication "Using mathematical modelling to investigate the adaptive divergence of whitefish in Fennoscandia". The dataset forms the results for the entire parameter space used in simulations. Please read the following abstract from publication for more detail about the nature of the project... |
Mar 31, 2020 - University of Inland Norway
Carricondo Sanchez, David; Zimmermann, Barbara; Wabakken, Petter; Eriksen, Ane; Milleret, Cyril; Ordiz, Andrés; Sanz-Pérez, Ana; Wikenros, Camilla, 2020, "Replication data for Wolves at the door? Factors influencing the individual behavior of wolves in relation to anthropogenic features", https://doi.org/10.18710/QL1CTR, DataverseNO, V1
Data file containing spatial variables of wolf GPS-positions and random points for step selection functions that is used in the article “Wolves at the door? Factors influencing the individual behavior of wolves in relation to anthropogenic features”. Abstract: The recovery of large carnivores in human-dominated landscapes comes with challenges. In... |
Mar 25, 2020 - Norwegian University of Life Sciences (NMBU)
Henkel, Christiaan, 2020, "Replication data for: Primitive duplicate Hox clusters in the European eel's genome", https://doi.org/10.18710/L7GO8T, DataverseNO, V1
This is the genome assembly and annotation of Anguilla anguilla, as described in PLoS ONE 7, e32231 (2012). Previously, these data were available at www.eelgenome.com. See the readme file for more information. |
