UiT The Arctic University of Norway

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

NMDC Node UiT

PolarFront

The Stein Rokkan Research Group for Quantitative Social and Political Science

Tromsø Geophysical Observatory

Arctic Language Technology

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.

1 to 10 of 949 Results

Background data for: Prehospital prediction of clinical course in patients with suspected sepsis Dec 23, 2024 Andersson Lars-Jøran, 2024, "Background data for: Prehospital prediction of clinical course in patients with suspected sepsis", https://doi.org/10.18710/SWF7EZ, DataverseNO, V1 This dataset is extracted from an ambulance quality registry of patients with suspected sepsis managed by the ambulance department of the University hospital of Northern Norway. Data was collected from patients with suspected sepsis who were given pre-hospital intravenous antibio...
Replication Data for: Optimizing recruitment in an online environmental PPGIS—is it worth the time and costs? Dec 19, 2024 Salminen, Emma Annika; Hausner, Vera Helene; Ancin Murguzur, Francisco Javier; Engen, Sigrid, 2024, "Replication Data for: Optimizing recruitment in an online environmental PPGIS—is it worth the time and costs?", https://doi.org/10.18710/8ACZ2A, DataverseNO, V2 Dataset description: This dataset contains the information needed to replicate the results presented in the article “Optimizing recruitment in an online environmental PPGIS—is it worth the time and costs?”. The data were collected as part of a study investigating recruitment stra...
Replication Data for: Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts Dec 2, 2024 Martinsen, Iver; Sørensen, Steffen Aagaard; Ortega, Samuel; Godtliebsen, Fred; Tejedor, Miguel; Myrvoll-Nilsen, Eirik, 2024, "Replication Data for: Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts", https://doi.org/10.18710/QGBZZK, DataverseNO, V1 This dataset contains PNG images of individual foraminifera and sediment grains. The dataset contains a set of training images, and a set of test images. Each of the sets contains four subfolders for each of the four classes in the dataset. The four classes are: A (Benthic Agglut...
Replication Data for: Geological and glaciological controls of 21,700 active methane seeps in the northern Norwegian Barents sea Nov 19, 2024 Serov, Pavel; Andreassen, Karin; Winsborrow, Monica; Mattingsdal, Rune; Patton, Henry, 2024, "Replication Data for: Geological and glaciological controls of 21,700 active methane seeps in the northern Norwegian Barents sea", https://doi.org/10.18710/7PE8Q9, DataverseNO, V1 The dataset contains replication data for scientific article "Geological and glaciological controls of 21,700 active methane seeps in the northern Norwegian Barents sea". Specifically, it contains multibeam echosounder data in .gwc (generic water column) format acquired in CAGE 1...
Aurora Vent Field (82.5N, Fram Strait) surface sediment geochemistry, grain size and mineralogy Nov 18, 2024 Argentino, Claudio; Panieri, Giuliana, 2024, "Aurora Vent Field (82.5N, Fram Strait) surface sediment geochemistry, grain size and mineralogy", https://doi.org/10.18710/V1ODIK, DataverseNO, V2 Sedimentological and geochemical datasets of sediment cores collected from Aurora Vent Field (82.5N) in the Fram Strait during HACON21 (MC-148, BlaC-01, BlaC-03, GC-191, GC-193) and HACON19 (MUC-33, MUC-34, MUC-37, MUC-39) expeditions. The sediment cores were collected via gravit...
Replication Data for: Analyzing GPT-4 Misinterpretations of Russian Grammatical Constructions Nov 1, 2024 Plotnikov, Timofei, 2024, "Replication Data for: Analyzing GPT-4 Misinterpretations of Russian Grammatical Constructions", https://doi.org/10.18710/8CAPJM, DataverseNO, V1 GPT-4 interpretations of the dataset of 2,227 examples gathered from Russian Constructicon (https://constructicon.github.io/russian/)
Replication Data for: Automatic time in bed detection from hip-worn accelerometers for large epidemiological studies: The Tromsø Study Oct 31, 2024 Henriksen, André; Weitz, Marc; Svartdal, Frode; Grimsgaard, Sameline; Hartvigsen, Gunnar; Hopstock, Laila Arnesdatter, 2024, "Replication Data for: Automatic time in bed detection from hip-worn accelerometers for large epidemiological studies: The Tromsø Study", https://doi.org/10.18710/VP5DMU, DataverseNO, V1 Dataset description 16 participants wore an Actigraph w-GT3X on their right hip together with two consumer-based wearables, a Polar Vantage (Polar Electro Oy, Kempele, Finland) watch and an Oura (Oura Health Oy, Oulo, Finland]) ring. This data, as summarized in this repository, h...
3DOSL - 3D Organelle Shape Library for Optical Microscopy Oct 29, 2024 Punnakkal, Abhinanda Ranjit; Jadhav, Suyog S; Celeste, Aaron Vaughn; Horsch, Alexander; Agarwal, Krishna; Prasad, Dilip K, 2024, "3DOSL - 3D Organelle Shape Library for Optical Microscopy", https://doi.org/10.18710/JX6JXF, DataverseNO, V1 This dataset contains individual 3D mitochondria extracted from 3D electron microscopy images in different 3D shape representation formats of meshes, point clouds and implicit shapes. The dataset also includes synthetic microscope images of these shapes.
Scenery photos without the frame (1979) Oct 21, 2024 - NMDC Node UiT UiT The Arctic University of Norway, 2018, "Scenery photos without the frame (1979)", https://doi.org/10.18710/TBE9FN, DataverseNO, V2, UNF:6:m5XkifHmbpHxDbBgnabtaQ== [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 photogra...
Biomarker, foraminiferal abundance, stable isotope and trace element data from sediment cores JM11-FI-19PC and LINK 16 from the southern Norwegian Sea during 130-110 ka Oct 11, 2024 Ezat, Mohamed Mahmoud; Fahl, Kirsten; Rasmussen, Tine L., 2024, "Biomarker, foraminiferal abundance, stable isotope and trace element data from sediment cores JM11-FI-19PC and LINK 16 from the southern Norwegian Sea during 130-110 ka", https://doi.org/10.18710/3LCQJX, DataverseNO, V1 We present biomarker, foraminiferal abundance, stable isotope and trace element data from sediment cores JM11-FI-19PC and LINK16 from the southern Norwegian Sea during 130-110 ka. Sediment core JM11-FI-19PC was retrieved from a water depth of 1179 m northwest of the Faroe Islands...

Background data for: Prehospital prediction of clinical course in patients with suspected sepsis

Dec 23, 2024

Andersson Lars-Jøran, 2024, "Background data for: Prehospital prediction of clinical course in patients with suspected sepsis", https://doi.org/10.18710/SWF7EZ, DataverseNO, V1

This dataset is extracted from an ambulance quality registry of patients with suspected sepsis managed by the ambulance department of the University hospital of Northern Norway. Data was collected from patients with suspected sepsis who were given pre-hospital intravenous antibio...

Replication Data for: Optimizing recruitment in an online environmental PPGIS—is it worth the time and costs?

Dec 19, 2024

Salminen, Emma Annika; Hausner, Vera Helene; Ancin Murguzur, Francisco Javier; Engen, Sigrid, 2024, "Replication Data for: Optimizing recruitment in an online environmental PPGIS—is it worth the time and costs?", https://doi.org/10.18710/8ACZ2A, DataverseNO, V2

Dataset description: This dataset contains the information needed to replicate the results presented in the article “Optimizing recruitment in an online environmental PPGIS—is it worth the time and costs?”. The data were collected as part of a study investigating recruitment stra...

Replication Data for: Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts

Dec 2, 2024

Martinsen, Iver; Sørensen, Steffen Aagaard; Ortega, Samuel; Godtliebsen, Fred; Tejedor, Miguel; Myrvoll-Nilsen, Eirik, 2024, "Replication Data for: Quantifying Uncertainty in Foraminifera Classification: How Deep Learning Methods Compare to Human Experts", https://doi.org/10.18710/QGBZZK, DataverseNO, V1

This dataset contains PNG images of individual foraminifera and sediment grains. The dataset contains a set of training images, and a set of test images. Each of the sets contains four subfolders for each of the four classes in the dataset. The four classes are: A (Benthic Agglut...

Replication Data for: Geological and glaciological controls of 21,700 active methane seeps in the northern Norwegian Barents sea

Nov 19, 2024

Serov, Pavel; Andreassen, Karin; Winsborrow, Monica; Mattingsdal, Rune; Patton, Henry, 2024, "Replication Data for: Geological and glaciological controls of 21,700 active methane seeps in the northern Norwegian Barents sea", https://doi.org/10.18710/7PE8Q9, DataverseNO, V1

The dataset contains replication data for scientific article "Geological and glaciological controls of 21,700 active methane seeps in the northern Norwegian Barents sea". Specifically, it contains multibeam echosounder data in .gwc (generic water column) format acquired in CAGE 1...

Aurora Vent Field (82.5N, Fram Strait) surface sediment geochemistry, grain size and mineralogy

Nov 18, 2024

Argentino, Claudio; Panieri, Giuliana, 2024, "Aurora Vent Field (82.5N, Fram Strait) surface sediment geochemistry, grain size and mineralogy", https://doi.org/10.18710/V1ODIK, DataverseNO, V2

Sedimentological and geochemical datasets of sediment cores collected from Aurora Vent Field (82.5N) in the Fram Strait during HACON21 (MC-148, BlaC-01, BlaC-03, GC-191, GC-193) and HACON19 (MUC-33, MUC-34, MUC-37, MUC-39) expeditions. The sediment cores were collected via gravit...

Replication Data for: Analyzing GPT-4 Misinterpretations of Russian Grammatical Constructions

Nov 1, 2024

Plotnikov, Timofei, 2024, "Replication Data for: Analyzing GPT-4 Misinterpretations of Russian Grammatical Constructions", https://doi.org/10.18710/8CAPJM, DataverseNO, V1

GPT-4 interpretations of the dataset of 2,227 examples gathered from Russian Constructicon (https://constructicon.github.io/russian/)

Replication Data for: Automatic time in bed detection from hip-worn accelerometers for large epidemiological studies: The Tromsø Study

Oct 31, 2024

Henriksen, André; Weitz, Marc; Svartdal, Frode; Grimsgaard, Sameline; Hartvigsen, Gunnar; Hopstock, Laila Arnesdatter, 2024, "Replication Data for: Automatic time in bed detection from hip-worn accelerometers for large epidemiological studies: The Tromsø Study", https://doi.org/10.18710/VP5DMU, DataverseNO, V1

Dataset description 16 participants wore an Actigraph w-GT3X on their right hip together with two consumer-based wearables, a Polar Vantage (Polar Electro Oy, Kempele, Finland) watch and an Oura (Oura Health Oy, Oulo, Finland]) ring. This data, as summarized in this repository, h...

3DOSL - 3D Organelle Shape Library for Optical Microscopy

Oct 29, 2024

Punnakkal, Abhinanda Ranjit; Jadhav, Suyog S; Celeste, Aaron Vaughn; Horsch, Alexander; Agarwal, Krishna; Prasad, Dilip K, 2024, "3DOSL - 3D Organelle Shape Library for Optical Microscopy", https://doi.org/10.18710/JX6JXF, DataverseNO, V1

This dataset contains individual 3D mitochondria extracted from 3D electron microscopy images in different 3D shape representation formats of meshes, point clouds and implicit shapes. The dataset also includes synthetic microscope images of these shapes.

Scenery photos without the frame (1979)

Oct 21, 2024 - NMDC Node UiT

UiT The Arctic University of Norway, 2018, "Scenery photos without the frame (1979)", https://doi.org/10.18710/TBE9FN, DataverseNO, V2, UNF:6:m5XkifHmbpHxDbBgnabtaQ== [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 photogra...

Biomarker, foraminiferal abundance, stable isotope and trace element data from sediment cores JM11-FI-19PC and LINK 16 from the southern Norwegian Sea during 130-110 ka

Oct 11, 2024

Ezat, Mohamed Mahmoud; Fahl, Kirsten; Rasmussen, Tine L., 2024, "Biomarker, foraminiferal abundance, stable isotope and trace element data from sediment cores JM11-FI-19PC and LINK 16 from the southern Norwegian Sea during 130-110 ka", https://doi.org/10.18710/3LCQJX, DataverseNO, V1

We present biomarker, foraminiferal abundance, stable isotope and trace element data from sediment cores JM11-FI-19PC and LINK16 from the southern Norwegian Sea during 130-110 ka. Sediment core JM11-FI-19PC was retrieved from a water depth of 1179 m northwest of the Faroe Islands...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications