761 to 770 of 964 Results
May 14, 2020
Petit Bon, Matteo; Inga, Katarina Gunnarsdotter; Jónsdóttir, Ingibjörg Svala; Utsi, Tove Aagnes; Soininen, Eeva Marjatta; Bråthen, Kari Anne, 2020, "Replication data for: Interactions between winter and summer herbivory affect spatial and temporal plant nutrient dynamics in tundra grassland communities", https://doi.org/10.18710/XCEXJ1, DataverseNO, V1
Data used to answer the question: To what extent herbivore interactions affect tundra plant-community nutrient levels during the short duration of an alpine/sub-Arctic summer |
May 8, 2020
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 effec... |
May 6, 2020
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 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... |
