601 to 610 of 1,014 Results
Ghassim, Babak, 2018, "Survey on innovation activities in Norway’s minerals industry covering the years 2013-2015", https://doi.org/10.18710/ROZ2QY, DataverseNO, V2
This dataset belongs to a survey conducted for the purpose of a doctoral study at UiT The Arctic University of Norway. The survey maps external knowledge sourcing and innovation activities of the minerals company in Norway over the three-year period from 2013 through 2015. The data will be made openly available after the results have been published... |
Jan 24, 2018 - NMDC Node UiT
UiT The Arctic University of Norway, 2018, "Scenery photos without the frame (1998)", https://doi.org/10.18710/TYBOTS, DataverseNO, V1, UNF:6:/xpXFqfH01pOpSRVe1vGlw== [fileUNF]
Contains photographs documenting under-water scenery and fauna across Svalbard. The data base contains photographs documenting under-water scenery and fauna across Svalbard and mainland at depths from ca. 5 to 30 m at non-marked, non-revisited locations. These non-scaled photographs were taken by divers. These photographs were taken in support of t... |
Aug 11, 2025
Maliniemi, Tuija; Kiilunen, Petteri; Bråthen, Kari Anne; Kapfer, Jutta; Bockelie Rosendal, Torunn; Grytnes, John-Arvid; Saccone, Patrick; Virtanen, Risto, 2025, "Replication Data for: Long-term homogenization of Fennoscandian heathland and tundra vegetation is connected to the expansion of an allelopathic dwarf shrub", https://doi.org/10.18710/VYQFPK, DataverseNO, V1
This dataset contain plant community data (including vascular plants, bryophytes and lichens) from 275 vegetation plots from northern Fennoscandia (northern Finland and northern Norway). Values for each species are percentage cover estimates from 2 x 2 meter plot. Each plot has been surveyed twice, i.e., species have old and new percentage cover fr... |
Oct 8, 2024
Henriette Trollvik; Tinna Gunnarsdottir, 2024, "Data from Smoke Particle Impact Detector (SPID) rocket instrument", https://doi.org/10.18710/LLRBOS, DataverseNO, V1
It contains data from the smoke particle impact detector (SPID). SPID is a Faraday cup impact probe designed to measure nanometer-sized smoke particles, called meteoric smoke particles, in the mesosphere. These are remnants of meteors ablating in the atmosphere. The instrument was part of the G-chaser campaign launched from Andøya rocket range on t... |
Jun 28, 2024
Thiyagarajan, Dhivya B; Afzal, Bilal M; Wolfson, Deanna, 2024, "Label-free and fluorescent imaging data of microparticle association with Salmon Keratocytes", https://doi.org/10.18710/KBEQT9, DataverseNO, V1
The dataset contains multimodal and multidimensional microscopy images of the interactions between different microparticles either in skin keratocytes cells (SKC) or in corneal keratocyte cells (CKC) of Atlantic Salmon. All images were captured at room temperature, and the dataset includes both test (with microparticles) and control (without microp... |
Jul 4, 2022 - Tromsø Geophysical Observatory
Tromsø Geophysical Observatory, 2019, "TGO Ramfjordmoen Ionosonde Data December 2018", https://doi.org/10.18710/ET3T2C, DataverseNO, V2
About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from December 01-31, 2018. About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Trom... |
Hagen, Rune Blix, 2019, "Rettsforfulgte trollfolk i Finnmark, 1593-1692", https://doi.org/10.18710/OWP5IP, DataverseNO, V1
Dette datasettet er knyttet til arbeid med trolldomsprosessene i Finnmark fra slutten av 1500-tallet og utover 1600-tallet. Dataene er samlet inn ved systematisk gjennomgang av tingbøker og fogde/amt regnskaper, oppbevart ved Statsarkivet i Tromsø. Datasettet er anvendt til utarbeidelsen av boka «Ved porten til Helvete. Trolldomsprosessene i Finnma... |
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. |
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, Thin Ice, Thick Ice-Flat and Thick Ice-Ridged. The data records, call... |
Nov 18, 2020
Appenroth, Daniel; Nord, Andreas; Hazlerigg, David; Wagner, Gabriela, 2020, "Replication Data for: Body temperature and activity rhythms under different photoperiods in Svalbard ptarmigan (Lagopus muta hyperborea)", https://doi.org/10.18710/XLDXQ3, DataverseNO, V1
The following data was used to generate figures and analysis of the manuscript: "Body temperature and activity rhythms under different photoperiods in Svalbard ptarmigan (Lagopus muta hyperborea)". This includes data of core body temperature (measured with iButtons in degrees Celsius/ hour), raw activity data (measured in counts/ minute) and the R-... |
