841 to 850 of 979 Results
                
                
                
                        
                        Jan 14, 2019
                         Waage, Malin, 2019, "Replication Data for: Geological controls on fluid flow and gas hydrate pingo development on the Barents Sea margin.", https://doi.org/10.18710/YWQZYV, DataverseNO, V1
                         The data includes two high-resolution P-Cable 3D seismic datasets processed in 2016 from Storfjordrenna, Barents Sea, used in the article published by G-Cubed "Geological controls on fluid flow and gas hydrate pingo development on the Barents Sea margin." by "Waage et al. The processing flow is listed in the "Readme" document, as well as the format... | 
                        
                        Jan 14, 2019
                         Plaza-Faverola, Andreia; Keiding, Marie, 2019, "Replication Data for: Correlation between tectonic stress regimes and methane seepage on the west-Svalbard margin", https://doi.org/10.18710/QXQCUI, DataverseNO, V1
                         Seismic and tectonic stress models associated with a publication by Plaza-Faverola and Keiding in Solid Earth (Copernicus open access journal). Abstract: Methane seepage occurs across the west-Svalbard margin at water depths ranging from < 300 m, landward from the shelf break, to > 1000 m in regions just a few kilometres away from the mid-ocean rid... | 
                        
                        Dec 12, 2018
                         Krause, Jeffrey W., 2018, "Biogenic silica production and diatom dynamics in the Svalbard region during spring 2016", https://doi.org/10.18710/CFABRJ, DataverseNO, V1
                         Raw data used in the publication of "Biogenic silica production and diatom dynamics in the Svalbard region during spring 2016". ARCEx. The Research Centre for Arctic Petroleum Exploration, ARCEx, is a research collaboration between academia and industry with support from the Research Council and Norwegian authorities. Through a common effort, the p... | 
                        
                        Nov 7, 2018
                         Muñoz, Lorena; Hausner, Vera Helene; Brown, Greg; Runge, Claire; Fauchald, Per, 2018, "Replication Data for: Identifying spatial overlap in the values of locals, domestic- and international tourists to protected areas", https://doi.org/10.18710/VYWBAD, DataverseNO, V2
                         This data folder contains the dataset and script in order to replicate the analyses conducted in the paper entitled "Identifying spatial overlap in the values of locals, domestic- and international tourists to protected areas". Nature-based tourism is increasingly encouraged to support local socioeconomic development in and around protected areas,... | 
                        
                        Nov 6, 2018
                         UiT University Library, 2018, "Digitized Archive PA 11 John Scott Keltie and Fridtjof Nansen: Correspondence and other documents", https://doi.org/10.18710/C8FXID, DataverseNO, V2
                         In the late 1990s, the University Library of Tromsø (now University of Tromsø – The Arctic University of Norway) bought a set of archival materials from J.W. Cappelens antikvariat in Oslo. Its ownership prior to J.W. Cappelens antikvariat is unknown. The core of the material is a series of autograph letters exchanged between the famous Norwegian ex... | 
                        
                        Oct 29, 2018
                         Ancin-Murguzur, Francisco-Javier; Muñoz, Lorena; Monz, Christopher; Fauchald, Per; Hausner, Vera, 2018, "Replication Data for: Efficient sampling for ecosystem service supply assessment at a landscape scale", https://doi.org/10.18710/HDPQGY, DataverseNO, V1
                         Dataset and scripts used for the article entitled "Efficient sampling for ecosystem service supply assessment at a landscape scale", published in the Ecosystems and People journal Abstract: Decision makers and stakeholders need high-quality data to manage ecosystem services (ES) efficiently. Landscape-level data on ES that are of sufficient quality... | 
                        
                        Oct 12, 2018
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                        Oct 5, 2018 - NMDC Node UiT
                         Mankettikkara, Rahman; Normann, Ulf; Eilertsen, Hans Chr, 2018, "Hydrographic data from Northern Norwegian fjords - 2012", https://doi.org/10.18710/EZPFBU, DataverseNO, V1, UNF:6:vAkMKNoql1CS8Z46ZXdH4g== [fileUNF]
                         The periodic collection of hydrophysical data along the northern Norwegian coast (from Malangen to Porsangerfjord) started in the beginning of the 20th century and some of the oldest stations are still in operation by the “Havmiljødata” sampling programme organized by UIT-The Arctic university of Norway. Systematical retrieval of the physical ocean... | 
                        
                        Oct 5, 2018 - NMDC Node UiT
                         Mankettikkara, Rahman; Normann, Ulf; Eilertsen, Hans Chr, 2018, "Hydrographic data from Northern Norwegian fjords - 2011", https://doi.org/10.18710/20VUXR, DataverseNO, V1, UNF:6:Ku9NJ9iIJUPTHMsi2X6SQA== [fileUNF]
                         The periodic collection of hydrophysical data along the northern Norwegian coast (from Malangen to Porsangerfjord) started in the beginning of the 20th century and some of the oldest stations are still in operation by the “Havmiljødata” sampling programme organized by UIT-The Arctic university of Norway. Systematical retrieval of the physical ocean... | 
                        
                        Oct 5, 2018 - NMDC Node UiT
                         Mankettikkara, Rahman; Normann, Ulf; Eilertsen, Hans Chr, 2018, "Hydrographic data from Northern Norwegian fjords - 2010", https://doi.org/10.18710/PPIVEO, DataverseNO, V1, UNF:6:eUOo8mYL1/ZWp+jmLIY7kA== [fileUNF]
                         The periodic collection of hydrophysical data along the northern Norwegian coast (from Malangen to Porsangerfjord) started in the beginning of the 20th century and some of the oldest stations are still in operation by the “Havmiljødata” sampling programme organized by UIT-The Arctic university of Norway. Systematical retrieval of the physical ocean... | 
