Looking for TROLLing? Click here: https://trolling.uit.no/
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

8,311 to 8,320 of 11,376 Results
methane_mox.txt
May 8, 2020 - Replication Data for: Arctic cold seeps alter dissolved organic matter composition at the Svalbard continental margin and the Barents Sea
Plain Text - 4.8 KB - MD5: dabb15ab860a8b9e18af651b3cc9c15c
stations.txt
May 8, 2020 - Replication Data for: Arctic cold seeps alter dissolved organic matter composition at the Svalbard continental margin and the Barents Sea
Plain Text - 1.0 KB - MD5: 06334bafff10ada24aa96f75e00b9575
Hydrography and vertical carbon flux in the Barents Sea
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.
00_readme.txt
May 6, 2020 - Hydrography and vertical carbon flux in the Barents Sea
Plain Text - 3.0 KB - MD5: 64ac3727695bf95fb67b0cf47fece27e
Information on station locations, sampling procedure, and CTD data processing
ARCEx_POC_flux.txt
May 6, 2020 - Hydrography and vertical carbon flux in the Barents Sea
Plain Text - 1.1 KB - MD5: 6a4dc5977473e3bfba8c71d20fdf4b5a
Location and date of the sediment trap deployment and the export of particulate organic carbon (POC)
StationArS_CTDstnr875_1db_dens.txt
May 6, 2020 - Hydrography and vertical carbon flux in the Barents Sea
Plain Text - 30.4 KB - MD5: 0e91a1c422f2182f4543f62d91b018c7
Hydrographical data (CTD file) from station ArS (Station number 875)
StationAS_CTDstnr929_1db_dens.txt
May 6, 2020 - Hydrography and vertical carbon flux in the Barents Sea
Plain Text - 31.6 KB - MD5: b5c9bf40b200cb53b4210d1eec1f41c5
Hydrographical data (CTD file) from station AS (Station number 929)
StationHS_CTDstnr818_1db_dens.txt
May 6, 2020 - Hydrography and vertical carbon flux in the Barents Sea
Plain Text - 13.6 KB - MD5: 268eec54dfcada160e3665658875d431
Hydrographical data (CTD file) from station HS (Station number 818)
Replication Data for: Auroral Image Classification with Deep Neural Networks
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...
00_ReadMe.txt
Apr 14, 2020 - Replication Data for: Auroral Image Classification with Deep Neural Networks
Plain Text - 4.6 KB - MD5: 6c25a3fdae5cc8db0938a055991b217e
ReadMe file where dataset and the files in repository is described.
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.