751 to 760 of 964 Results
Aug 19, 2020
Vonnahme, Tobias R; Leroy, Martial; Thoms, Silke; van Oevelen, Dick; Harvey, Rodger; Kristiansen, Svein; Dietrich, Ulrike; Gradinger, Rolf R; Völker, Christoph, 2020, "Replication data for: Modelling Silicate – Nitrate - Ammonium co-limitation of algal growth and the importance of bacterial remineralisation based on an experimental Arctic coastal spring bloom culture study", https://doi.org/10.18710/VA4IU9, DataverseNO, V1
Phytoplankton spring blooms in Arctic coastal ecosystems are affected by a drastically changing climate; making modelling their responses to these changes an important challenge to model ecosystem responses. These spring blooms are mostly dominated by diatoms growing exponentiall... |
Aug 18, 2020
Brekke, Camilla; Espeseth, Martine M.; Skrunes, Stine; Eltoft, Torbjørn; Jones, Cathleen E.; Holt, Benjamin; Dagestad, Knut-Frode; Röhrs, Johannes; Breivik, Øyvind; Christensen, Kai Håkon, 2020, "The Norwegian Radar Oil Spill Experiment in 2015 - NORSE2015", https://doi.org/10.18710/OXBB8M, DataverseNO, V1
The Norwegian Radar Oil Spill Experiment in 2015 (NORSE2015) was conducted in the North Sea 10 June 2015. NORSE2015 was a joint effort between UiT The Arctic University of Norway (UiT), the Jet Propulsion Laboratory (JPL)/National Aeronautics and Space Administration (NASA), and... |
Aug 6, 2020
Bender, Morgan, 2020, "Replication Data for: Combined effects of crude oil exposure and warming on eggs and larvae of an arctic forage fish", https://doi.org/10.18710/S94YFT, DataverseNO, V1
This data set represents the finding from the Sens2change experiment exposing embryonic and larval polar cod (Boreogadus saida) to a warming scenario (2.8°C or 0.5°C) and crude oil exposure (concentrations of 0, 0.19, 0.75, and 3 g crude oil/ kg gravel -corresponding to control,... |
Jul 23, 2020
Khaleghian, Salman; Lohse, Johannes Philipp; Kræmer, Thomas, 2020, "Synthetic-Aperture Radar (SAR) based Ice types/Ice edge dataset for deep learning analysis", https://doi.org/10.18710/QAYI4O, DataverseNO, V1
This dataset has been prepared for Ice types/Ice edge analysis based on deep neural networks. The dataset has been created based on 31 scenes in north of Svalbard based on labeled polygons. The dataset contains six classes including OpenWater, Leads with water, Brash/Pancake Ice,... |
Jun 26, 2020
Conzett, Philipp, 2020, "Research Data Publishing at UiT The Arctic University of Norway", https://doi.org/10.18710/JWTJJB, DataverseNO, V2
This dataset contains background data for a small study about how the recommendations for how to increase the FAIRness of research data are being adopted in scientific/scholarly communities. To get a rough indication of how large the group of Early Adopters of the FAIR Data Princ... |
Koehl, Jean-Baptiste, 2020, "Replication data for: Devonian–Mississippian collapse and core complex exhumation, and partial decoupling and partitioning of Eurekan deformation as alternatives to the Ellesmerian Orogeny in Spitsbergen", https://doi.org/10.18710/MXKQPE, DataverseNO, V1
High-resolution versions of the figures and supplements of the Koehl (2020) manuscript entitled "Devonian–Mississippian collapse and core complex exhumation, and partial decoupling and partitioning of Eurekan deformation as alternatives to the Ellesmerian Orogeny in Spitsbergen",... |
Jun 23, 2020
Espeseth, Martine Mostervik; Brekke, Camilla, 2020, "Oil masks derived from airborne radar measurements for the NORSE2019 experiment", https://doi.org/10.18710/YOILRP, DataverseNO, V1
Oil masks are derived manually from a time series of synthetic aperture radar (SAR) images covering two different types of oil; one mineral oil emulsion and one soya oil emulsion that were released during an oil-on-water experiment (NORSE2019) in the North Sea June 2019 by NOFO (... |
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... |
