561 to 570 of 997 Results
Jul 4, 2022 - Tromsø Geophysical Observatory
Tromsø Geophysical Observatory, 2019, "TGO Ramfjordmoen Ionosonde Data March 2014", https://doi.org/10.18710/CYCTGU, DataverseNO, V2
About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from March 01-31, 2014. 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 Tromsø... |
May 6, 2020
Wiedmann, Ingrid, 2020, "Hydrography and vertical carbon flux in the Barents Sea", https://doi.org/10.18710/GSMVQY, DataverseNO, V1
Hydrography data (CTD data) from three sampling stations (one in Hornsund, two in the western Barents Sea) visited during the ARCEx cruise in May 2016. In addition, vertical carbon flux determined with surface-tethered short-term sediment traps at the three stations. |
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: 3", https://doi.org/10.18710/FCAA49, 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. 3 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: 2016-09-20; spawning ground: 3; time: afternoon; camera no: 6", https://doi.org/10.18710/RRGAM4, 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 20 September 2016. A description of the data structure and format is gathered in the documentation dat... |
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: 2016-09-21; spawning ground: 3; time: afternoon; camera no: 8", https://doi.org/10.18710/0OMOWH, 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. 8 at spawning ground 3 in the afternoon of 21 September 2016. A description of the data structure and format is gathered in the documentation dat... |
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: afternoon; camera no: 9", https://doi.org/10.18710/HKAHGR, 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. 9 at spawning ground 3 in the afternoon of 22 September 2016. A description of the data structure and format is gathered in the documentation dat... |
May 12, 2021 - Spawning behavior of Arctic charr
Egeland, Torvald B.; Folstad, Ivar; Nordeide, Jarle Tryti, 2021, "Video recordings of spawning behavior of Arctic charr; date: 2016-09-24; spawning ground: 3; time: evening; camera no: 9", https://doi.org/10.18710/PXC6VF, 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. 9 at spawning ground 3 in the evening of 24 September 2016. A description of the data structure and format is gathered in the documentation datas... |
Jun 17, 2021
Kuttner, Samuel, 2021, "Replication Data for: Motion robust radiomic features in 18F-FDG PET/MRI imaging of lung cancer", https://doi.org/10.18710/2JTIOT, DataverseNO, V1, UNF:6:+a2bcUvGwsGCB+YdLJ4vnA== [fileUNF]
These data contain 834 extracted radiomic features from 17 non-small-cell lung cancer patients, each undergoing a 20-minute 18F-fluorodeoxyglucose positron emission tomography (PET)/magnetic resonance imaging (MRI) acquisition. Features from three PET image reconstructions were extracted: 1) free-breathing PET (PET_100%), 2) end-expiration PET (PET... |
Jun 7, 2019
Aanesen, Margrethe, 2019, "Replication data for: Do we choose differently after a discussion?", https://doi.org/10.18710/XG6CYW, DataverseNO, V2, UNF:6:as+Ai3+NsC9FHXaUL0sJ/Q== [fileUNF]
The data is collected through 7 valuation workshops implemented in 7 Irish municipalities during autumn 2014. The workshops encompassed several steps; first the participants were informed about cold-water coral (CWC), next they individually filled in a survey including a quiz on CWC and 12 choice cards, then they were divided into small groups and... |
Mar 30, 2022
Bianchi, Filippo Maria, 2022, "Benchmark dataset for graph classification", https://doi.org/10.18710/TIZ9II, DataverseNO, V1
This repository contains datasets to quickly test graph classification algorithms, such as Graph Kernels and Graph Neural Networks. The purpose of this dataset is to make the features on the nodes and the adjacency matrix to be completely uninformative if considered alone. Therefore, an algorithm that relies only on the node features or on the grap... |
