761 to 770 of 957 Results
Apr 14, 2020
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 A... |
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... |
Apr 1, 2020
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 abs... |
Mar 9, 2020
Ancin-Murguzur, Francisco Javier; Brown, Antony G.; Clarke, Charlotte; Sjøgren, Per; Svendsen, John Inge; Alsos, Inger Greve, 2020, "Replication Data for: How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?", https://doi.org/10.18710/OJC4TH, DataverseNO, V1
This dataset contains the reference data and script to develop a predictive NIRS model to measure LOI in lacustrine sediments, as described in the article: How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes? |
Feb 6, 2020
Runge, Claire A.; Daigle, Remi M.; Hausner, Vera H., 2020, "Replication data for: Quantifying tourism booms and the increasing footprint in the Arctic with social media data", https://doi.org/10.18710/QEOFPY, DataverseNO, V1, UNF:6:czqP04pzsqnMiDPqDgKLpg== [fileUNF]
Arctic tourism has rapidly increased in the past two decades. We used social media data to examine localized tourism booms and quantify the spatial expansion of the Arctic tourism footprint. We extracted geotagged locations from over 800,000 photos on Flickr and mapped these acro... |
Jan 13, 2020
Låg, Torstein; Sæle, Rannveig Grøm, 2019, "Study level data for Does the Flipped Classroom Improve Student Learning and Satisfaction? A Systematic Review and Meta-Analysis", https://doi.org/10.18710/QA8WBZ, DataverseNO, V2
This dataset contains the study-level data used in the meta-analyses reported in the review titled Does the Flipped Classroom Improve Student Learning and Satisfaction? A Systematic Review and Meta-Analysis'. The analyses summarize evidence from studies comparing a flipped classr... |
Jan 10, 2020
Silyakova, Anna; Jansson, Pär; Serov, Pavel; Ferré, Benedicte; Pavlov, Alexey; Hattermann, Tore; Graves, Carolyn; Platt, Stephen Matthew; Lund, Myhre Cathrine; Gründger, Friederike; Niemann, Helge, 2020, "Replication Data for: Physical controls of dynamics of methane venting from a shallow seep area west of Svalbard", https://doi.org/10.18710/VGQYLQ, DataverseNO, V1
Data are the basis for the publication "Physical controls of dynamics of methane venting from a shallow seep area west of Svalbard" by Silyakova and co-authors. It was prepared at CAGE, Centre for Arctic Gas Hydrate, Environment and Climate, Department of Geoscienses, UiT Arctic... |
Dec 20, 2019
Blanchet, Marie-Anne, 2019, "Replication Data for: Data on European seafood biomass production by country, sectors and species in 1951-2014", https://doi.org/10.18710/QAJWCH, DataverseNO, V1, UNF:6:p4oswtPhPvaiY+Apu1jpOQ== [fileUNF]
We present the 1951-2014 European seafood production volume by production sector, country and species. The production data originates from the Food and Agriculture Organisation of the United Nations (FAO) and covers three production sectors: marine fisheries, marine aquaculture a... |
Dec 16, 2019
Jaber, Tahrir; Oftedal, Elin Merethe, 2019, "Quantitative data: A case of an oil and gas company under a sustainable change", https://doi.org/10.18710/HLYZIB, DataverseNO, V1, UNF:6:EW74cYJLwbu/fR6e1zx64A== [fileUNF]
A quantitative dataset collected from an established oil and gas company in Europe. Survey-based research was developed based on institutional theory and carried out among the company’s employees. Our survey helps understand the process of legitimating new sustainable technologie... |
