761 to 770 of 967 Results
Jun 23, 2020
Runge, Claire A.; Daigle, Remi; Hausner, Vera H.; Monz, Christopher A., 2020, "Replication data for: Pan-Arctic analysis of cultural ecosystem services using social media and automated content analysis", https://doi.org/10.18710/DUANRP, DataverseNO, V1, UNF:6:ZahdAHYFWhoYLYqxvnk4bQ== [fileUNF]
In the Arctic, as in many parts of the world, interactions with the natural world are an important part of people’s experience and are often recorded in photographs. Emerging methods for automated content analysis of social media data offers opportunities to discover information... |
Jun 23, 2020
Bråthen, Kari Anne; Petit Bon, Matteo; Böhner, Hanna; Kaino, Sissel; Moe, Torunn, 2020, "Replication data for: One leaf for all: Chemical traits of single leaves measured at the leaf surface using near-infrared reflectance spectroscopy", https://doi.org/10.18710/MHX1Z7, DataverseNO, V1
NIRS-based estimates of foliar chemical traits using two approaches. From NIRS-scans of dried, milled and tableted leaves and from NIRS-scans of full leaves dried flat. |
Jun 17, 2020
Brakestad, Anders; Jensen, Stig Rune; Wind, Peter; D'Alessandro, Marco; Genovese, Luigi; Hopmann, Kathrin Helen; Frediani, Luca, 2020, "Replication Data for: Static polarizabilities at the basis set limit: A benchmark of 124 species", https://doi.org/10.18710/KLQVOK, DataverseNO, V4, UNF:6:pBXeXp0l5KVVijVHeSqsdg== [fileUNF]
Introduction This Dataverse entry contains replication data for our journal article “Static polarizabilities at the basis set limit: A benchmark of 124 species” published in Journal of Chemical Theory and Computation. It contains highly precise static polarizabilities computed in... |
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... |
