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

891 to 900 of 1,007 Results
May 28, 2021
Koehl, Jean-Baptiste, 2020, "Replication data for: Devonian–Carboniferous collapse and segmentation of the Billefjorden Trough, and Eurekan inversion–overprint and strain partitioning and decoupling along inherited WNW–ESE-striking faults", https://doi.org/10.18710/EAZDNV, DataverseNO, V2
High-resolution versions of the figures and supplements of the Koehl et al. (2020) manuscript entitled Devonian–Carboniferous collapse and segmentation of the Billefjorden Trough, and Eurekan inversion–overprint and strain partitioning and decoupling along inherited WNW–ESE-striking faults, which could not be attached to the manuscript itself due t...
Jun 25, 2021
Opstad, Ida S.; Godtliebsen, Gustav; Sekh, Arif Ahmed, 2021, "Replication Data for: Physics based machine learning for sub-cellular segmentation in living cells", https://doi.org/10.18710/IDCUCI, DataverseNO, V1
Abstract: Segmenting sub-cellular structures in living cells from fluorescence microscopy images is a ground truth (GT) hard problem. The microscope’s 3-dimensional blurring function, finite optical resolution due to light diffraction, finite pixel resolution, and complex morphological manifestations of the structures, all contribute to GT-hardness...
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: 2016-09-23; spawning ground: 3; time: morning; camera no: 3", https://doi.org/10.18710/0C4PBP, 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 morning of 23 September 2016. A description of the data structure and format is gathered in the documentation datas...
May 11, 2021 - Spawning behavior of Arctic charr
Egeland, Torvald B.; Folstad, Ivar; Nordeide, Jarle Tryti, 2021, "Video recordings of spawning behavior of Arctic charr; date: 2016-09-15; spawning ground: 3; time: afternoon; camera no: 2", https://doi.org/10.18710/659TVN, 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. 2 at spawning ground 3 in the afternoon of 15 September 2016. A description of the data structure and format is gathered in the documentation dat...
May 11, 2021 - Spawning behavior of Arctic charr
Egeland, Torvald B.; Folstad, Ivar; Nordeide, Jarle Tryti, 2021, "Video recordings of spawning behavior of Arctic charr; date: 2016-09-16; spawning ground: 3; time: morning; camera no: 1", https://doi.org/10.18710/0XFSVW, 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 16 September 2016. A description of the data structure and format is gathered in the documentation datas...
May 11, 2021 - Spawning behavior of Arctic charr
Egeland, Torvald B.; Folstad, Ivar; Nordeide, Jarle Tryti, 2021, "Video recordings of spawning behavior of Arctic charr; date: 2016-09-16; spawning ground: 3; time: morning; camera no: 3", https://doi.org/10.18710/O2PKYN, 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 morning of 16 September 2016. A description of the data structure and format is gathered in the documentation datas...
Mar 15, 2022
Sert, Muhammed Fatih; Reeves, Eoghan P.; Hand, Kevin P.; Ferré, Bénédicte, 2022, "Replication data for: Compositions of dissolved organic matter in the ice-covered waters above the Aurora hydrothermal vent system, Gakkel Ridge, Arctic Ocean", https://doi.org/10.18710/QPGDFW, DataverseNO, V1
This dataset contains water column measurements, dissolved organic matter compositions, and hydrographical profiles collected from Aurora Hydrothermal vents at Gakkel Ridge, Arctic Ocean. Data are presented along with the R codes for the replication of analyses, and figures that were added in our submitted paper. This study provides an extensive ch...
Oct 6, 2017
Alam, Md Mehboob; Misra, Ramprasad; Ruud, Kenneth, 2017, "Interplay of Twist Angle and Solvents With Two-Photon Optical Channel Interference in Aryl-Substituted BODIPY Dyes", https://doi.org/10.18710/LHCGYQ, DataverseNO, V2
Supporting information for "Interplay of Twist Angle and Solvents With Two-Photon Optical Channel Interference in Aryl-Substituted BODIPY Dyes"
Jan 24, 2018 - NMDC Node UiT
UiT The Arctic University of Norway, 2018, "Scenery photos without the frame (2005)", https://doi.org/10.18710/Y8VHCJ, DataverseNO, V1, UNF:6:+V05KwcsY5XeRddvTpSptg== [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...
Dec 10, 2019
Ferré, Bénédicte; Jansson, Pär; Moser, Manuel; Serov, Pavel; Portnov, Alexei; Graves, Carolyn; Panieri, Giuliana; Gründger, Friederike; Berndt, Christian; Lehmann, Moritz F; Niemann, Helge, 2019, "Replication Data for: Reduced methane seepage from Arctic sediments during cold bottom-water conditions", https://doi.org/10.18710/EIFZ2J, DataverseNO, V3, UNF:6:tZnvI4jmCq7dHtQ/8XFbww== [fileUNF]
This dataset contains all the necessary data for reproducing the results in the article. "Reduced methane seepage from Arctic sediments during cold bottom-water conditions" Abstract: Large amounts of methane are trapped within sub-seabed sediments in the Arctic ocean. Seasonal bottom water warming may induce the release of methane from the seafloor...
Add Data

Log in to create a dataverse or add a dataset.

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.