611 to 620 of 1,004 Results
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-... |
Jan 24, 2018 - NMDC Node UiT
UiT The Arctic University of Norway, 2018, "Scenery photos without the frame (1986)", https://doi.org/10.18710/NDSULC, DataverseNO, V1, UNF:6:cGONbOXHg22FsBt05p8YXg== [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, "Scenery photos without the frame (1981)", https://doi.org/10.18710/GWCLHD, DataverseNO, V1, UNF:6:uALl/QSTKQCfB4nlESJGSw== [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 (2013)", https://doi.org/10.18710/PR658J, DataverseNO, V1, UNF:6:47xpkZXGbQcXvtBIrXm8kg== [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... |
Jan 24, 2018 - NMDC Node UiT
UiT The Arctic University of Norway, 2018, "Photo frames on non-permanent stations (2016)", https://doi.org/10.18710/DSE1KK, DataverseNO, V1, UNF:6:QiRpeGyq7S5QPlyVYK/lbg== [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... |
Jan 24, 2018 - NMDC Node UiT
UiT The Arctic University of Norway, 2018, "Photo frames on non-permanent stations (2011)", https://doi.org/10.18710/7MNOAV, DataverseNO, V1, UNF:6:e9lNw9t8eg4p8jQOWC0SpQ== [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... |
Jan 24, 2018 - NMDC Node UiT
UiT The Arctic University of Norway, 2018, "Photo frames on non-permanent stations (2008)", https://doi.org/10.18710/SCJ0YJ, DataverseNO, V1, UNF:6:labgU9WWKMdPp5sbqgnGsw== [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... |
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... |
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... |
