791 to 800 of 997 Results
Jan 24, 2018 - NMDC Node UiT
UiT The Arctic University of Norway, 2018, "Scenery photos without the frame (1985)", https://doi.org/10.18710/2E3XET, DataverseNO, V1, UNF:6:4SRDTQjI1LPSo7FhE6KxPQ== [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... |
Jan 24, 2018 - NMDC Node UiT
UiT The Arctic University of Norway, 2018, "Photo frames on non-permanent stations (2007)", https://doi.org/10.18710/I6KZIT, DataverseNO, V1, UNF:6:1valqF8BbUIY0hF7epaJyg== [fileUNF]
Contains under-water photographs taken with a standardized frame at non-permanent stations across Svalbard. The database 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 scaled photographs were taken by divers. These photographs wer... |
Mar 16, 2021
Appenroth, Daniel; West, Alexander; Wagner, Gabriela; Hazlerigg, David, 2020, "Replication Data for: Evidence for circadian-based photoperiodic timekeeping in the Svalbard ptarmigan, the northernmost resident bird.", https://doi.org/10.18710/LUAHFK, DataverseNO, V2
The following data was used to generate the figures of the manuscript: "Adaptive value of circadian rhythms in High Arctic Svalbard ptarmigan". This includes data from in situ hybridisation (measured in optical density), raw activity data (measured in counts per minute), body mass, food intake and plasma testosterone levels. In addition we provide... |
Oct 4, 2023
Mannberg, Andrea, 2023, "Background data for: "Risky Positioning - social aspirations and risk-taking behaviour in avalanche terrain"", https://doi.org/10.18710/UHPYAB, DataverseNO, V1
This dataset contains information from a survey that was distributed in North America from January to April, in 2018. To target the population of interest for this study, backcountry riders, we distributed a link to the survey via the American avalanche education provider the American Institute for Avalanche Research and Education (AIARE), an Ameri... |
Nov 4, 2021
Hege-Beate Fredriksen, 2020, "Replication data for: Estimating radiative forcing with a nonconstant feedback parameter and linear response", https://doi.org/10.18710/IHUVTB, DataverseNO, V2
Radiative forcing estimates for CMIP5 models. Two different estimates are provided for each model for the 1%CO2 experiment and the historical and the four RCP experiments RCP2.6, RCP4.5, RCP6.0 and RCP8.5 for the time period 1850 - 2100. Forcing estimates referred to as the F13 method were first published by Forster et al. (2013). The other forcing... |
May 10, 2021 - Spawning behavior of Arctic charr
Egeland, Torvald B.; Folstad, Ivar; Nordeide, Jarle Tryti, 2021, "Video recordings of spawning behavior of Arctic charr; date: 2016-09-18; spawning ground: 3; time: evening; camera no: 6", https://doi.org/10.18710/JQFPIQ, DataverseNO, V1
This dataset contains video recordings of spawning behavior of Arctic charr (Salvelinus alpinus) in Lake Fjellfrøsvatnet (69°08′N 19°34′E), Troms, Northern Norway. The recordings were made with camera no. 6 at spawning ground 3 in the evening of 18 September 2016. A description of the data structure and format is gathered in the documentation datas... |
May 10, 2021 - Spawning behavior of Arctic charr
Egeland, Torvald B.; Folstad, Ivar; Nordeide, Jarle Tryti, 2021, "Video recordings of spawning behavior of Arctic charr; date: 2016-09-22; spawning ground: 3; time: morning; camera no: 1", https://doi.org/10.18710/OZPNKO, DataverseNO, V1
This dataset contains video recordings of spawning behavior of Arctic charr (Salvelinus alpinus) in Lake Fjellfrøsvatnet (69°08′N 19°34′E), Troms, Northern Norway. The recordings were made with camera no. 1 at spawning ground 3 in the morning of 22 September 2016. A description of the data structure and format is gathered in the documentation datas... |
May 10, 2021 - Spawning behavior of Arctic charr
Egeland, Torvald B.; Folstad, Ivar; Nordeide, Jarle Tryti, 2021, "Video recordings of spawning behavior of Arctic charr; date: 2016-09-22; spawning ground: 3; time: evening; camera no: 1", https://doi.org/10.18710/K6ASVB, DataverseNO, V1
This dataset contains video recordings of spawning behavior of Arctic charr (Salvelinus alpinus) in Lake Fjellfrøsvatnet (69°08′N 19°34′E), Troms, Northern Norway. The recordings were made with camera no. 1 at spawning ground 3 in the evening of 22 September 2016. A description of the data structure and format is gathered in the documentation datas... |
Sep 23, 2022
Ströhl, Florian; Hansen, Daniel Henry; Grifo, Mireia Nager; Birgisdottir, Åsa Birna, 2022, "Supporting Data for: Multifocus microscopy with optical sectioning and extended axial resolution", https://doi.org/10.18710/J0QX3E, DataverseNO, V1
Multifocus microscopy enables recording of entire volumes in a single camera exposure. In dense samples, multifocus microscopy is severely hampered by background haze. We developed a scalable multifocus method that incorporates optical sectioning and offers improved axial resolution capabilities. In our method, dubbed SOLIS, a dithered oblique ligh... |
Feb 23, 2023
Tuomi, Maria W., 2023, "Replication Data for: Novel frontier in wildlife monitoring: identification of small rodent species from faecal pellets using Near-Infrared Reflectance Spectroscopy (NIRS)", https://doi.org/10.18710/9QKUIQ, DataverseNO, V1
Small rodents are prevalent and functionally important across the world’s biomes, making their monitoring salient for ecosystem management, conservation, forestry and agriculture. There is a growing need for cost-effective and non-invasive methods for large-scale, intensive sampling. Fecal pellet counts readily provide relative abundance indices, a... |
