711 to 720 of 997 Results
Jan 24, 2018 - NMDC Node UiT
UiT The Arctic University of Norway, 2018, "Scenery photos without the frame (2012)", https://doi.org/10.18710/XXEEY0, DataverseNO, V1, UNF:6:Hk+dkM1MRFCjKsKbNaaU5g== [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... |
Apr 22, 2021
Koehl, Jean-Baptiste, 2021, "Replication data for "Middle Pennsylvanian megabreccia along the Odellfjellet Fault in Billefjorden, central Spitsbergen"", https://doi.org/10.18710/UFUYIC, DataverseNO, V1
Photographs of the whole outcrop transect analysed for this study, and structural measurements of bedding and fracture surfaces both within strata of the Minkinfjellet Formation and a megabreccia deposit located just east of Pyramiden in central Spitsbergen. |
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: morning; camera no: 6", https://doi.org/10.18710/LNAHNZ, 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 morning 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: 2016-09-19; spawning ground: 3; time: morning; camera no: 6", https://doi.org/10.18710/D1HDHZ, 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 morning of 19 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: 2016-09-19; spawning ground: 3; time: afternoon; camera no: 6", https://doi.org/10.18710/NGHT6F, 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 afternoon of 19 September 2016. A description of the data structure and format is gathered in the documentation dat... |
Apr 14, 2020
Kvammen, Andreas; Wickstrøm, Kristoffer; McKay, Derek; Partamies, Noora, 2020, "Replication Data for: Auroral Image Classification with Deep Neural Networks", https://doi.org/10.18710/SSA38J, DataverseNO, V3
Results from a study of automatic aurora classification using machine learning techniques are presented. The aurora is the manifestation of physical phenomena in the ionosphere magnetosphere environment. Automatic classification of millions of auroral images from the Arctic and Antarctic is therefore an attractive tool for developing auroral statis... |
Mar 9, 2021
Nierenberg, Ellen; Låg, Torstein; Dahl, Tove I., 2020, "Replication Data for: Knowing and doing: The development of information literacy measures to assess knowledge and practice", https://doi.org/10.18710/L60VDI, DataverseNO, V2
This data set contains the replication data for the article "Knowing and doing: The development of information literacy measures to assess knowledge and practice." This article was published in the Journal of Information Literacy, in June 2021. The data was collected as part of the contact author's PhD research on information literacy (IL). One goa... |
Mar 15, 2022
Juskewitz, Eric, 2022, "Replication Data for: "Lulworthinone: In vitro mode of action investigation of an antibacterial dimeric naphthopyrone isolated from a marine fungus."", https://doi.org/10.18710/6Z0VJX, DataverseNO, V1
Treatment options for infections caused by antimicrobial-resistant bacteria are rendered ineffective, and drug alternatives are needed - either from new chemical classes or drugs with new modes of action. Historically, natural products have been important contributors to drug discovery. The search for new antimicrobials from marine fungi led to the... |
Jan 24, 2018 - NMDC Node UiT
UiT The Arctic University of Norway, 2018, "Scenery photos without the frame (2010)", https://doi.org/10.18710/XJW2FZ, DataverseNO, V1, UNF:6:rGhX9wmNXa2evtJwr7XRTw== [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 (1989)", https://doi.org/10.18710/4U1PKN, DataverseNO, V1, UNF:6:Si7NPSvJvaK9adoJbZ6WGg== [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... |
