1,541 to 1,550 of 1,876 Results
May 9, 2020 - University of Agder
Bjørnarå, Helga Birgit Torgeirsdotter, 2020, "Replication Data for: Cartobike transcripts focus group interviews", https://doi.org/10.18710/D4TLO3, DataverseNO, V1
This dataset contains replication data for our journal article "Cumbersome but desirable – breaking the code of everyday cycling". The dataset includes the transcripts (one file for each transcript) from the nine focus group interviews conducted as the qualitative part of the project From cars to bikes (Cartobike). The interviews were conducted aft... |
May 8, 2020 - UiT The Arctic University of Norway
Sert, Muhammed Fatih; D'Andrilli, Juliana; Gründger, Friederike; Niemann, Helge; Granskog, Mats A.; Pavlov, Alexey K.; Ferré, Bénédicte; Silyakova, Anna, 2020, "Replication Data for: Arctic cold seeps alter dissolved organic matter composition at the Svalbard continental margin and the Barents Sea", https://doi.org/10.18710/JHB371, DataverseNO, V1
Abstract: Dissociating gas hydrates, submerged permafrost, and gas bearing sediments release methane to the water column from a multitude of seeps in the Arctic Ocean. The seeping methane dissolves and supports the growth of aerobic methane oxidizing bacteria (MOB), but the effect of seepage and seep related biogeochemical processes on water column... |
May 6, 2020 - TROLLing
Zobel, Sarah, 2020, "Replication Data for: Zur Determiniererlosigkeit bei prädikativ verwendeten zählbaren Nomen im Deutschen", https://doi.org/10.18710/6HUAMB, DataverseNO, V1, UNF:6:W+wFGxK3VC2LJ/oYe/TMJg== [fileUNF]
This data set contains the replication data for the article "Zur Determiniererlosigkeit bei prädikativ verwendeten zählbaren Nomen im Deutschen: Korpusdaten und ihre Konsequenzen", which was accepted for publication at `Linguistische Berichte'. See the English abstract below. The data set contains 5 corpus samples of singular count nouns that are u... |
May 6, 2020 - UiT The Arctic University of Norway
Wiedmann, Ingrid, 2020, "Hydrography and vertical carbon flux in the Barents Sea", https://doi.org/10.18710/GSMVQY, DataverseNO, V1
Hydrography data (CTD data) from three sampling stations (one in Hornsund, two in the western Barents Sea) visited during the ARCEx cruise in May 2016. In addition, vertical carbon flux determined with surface-tethered short-term sediment traps at the three stations. |
Apr 29, 2020 - Western Norway University of Applied Sciences
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... |
Apr 9, 2020 - TROLLing
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... |
Apr 3, 2020 - UiT The Arctic University of Norway
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. |
