UiT The Arctic University of Norway

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621 to 630 of 972 Results

Data from Smoke Particle Impact Detector (SPID) rocket instrument Oct 8, 2024 Henriette Trollvik; Tinna Gunnarsdottir, 2024, "Data from Smoke Particle Impact Detector (SPID) rocket instrument", https://doi.org/10.18710/LLRBOS, DataverseNO, V1 It contains data from the smoke particle impact detector (SPID). SPID is a Faraday cup impact probe designed to measure nanometer-sized smoke particles, called meteoric smoke particles, in the mesosphere. These are remnants of meteors ablating in the atmosphere. The instrument wa...
Benchmark dataset for graph classification 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. Theref...
Scenery photos without the frame (1981) Jan 24, 2018 - NMDC Node UiT UiT The Arctic University of Norway, 2018, "Scenery photos without the frame (1981)", https://doi.org/10.18710/GWCLHD, DataverseNO, V1, UNF:6:uALl/QSTKQCfB4nlESJGSw== [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...
Photo frames on non-permanent stations (2013) Jan 24, 2018 - NMDC Node UiT UiT The Arctic University of Norway, 2018, "Photo frames on non-permanent stations (2013)", https://doi.org/10.18710/PR658J, DataverseNO, V1, UNF:6:47xpkZXGbQcXvtBIrXm8kg== [fileUNF] Contains under-water photographs taken with a standardized frame at non-permanent stations across Svalbard. The database 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...
Photo frames on non-permanent stations (2016) Jan 24, 2018 - NMDC Node UiT UiT The Arctic University of Norway, 2018, "Photo frames on non-permanent stations (2016)", https://doi.org/10.18710/DSE1KK, DataverseNO, V1, UNF:6:QiRpeGyq7S5QPlyVYK/lbg== [fileUNF] Contains under-water photographs taken with a standardized frame at non-permanent stations across Svalbard. The database 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...
Photo frames on non-permanent stations (2011) Jan 24, 2018 - NMDC Node UiT UiT The Arctic University of Norway, 2018, "Photo frames on non-permanent stations (2011)", https://doi.org/10.18710/7MNOAV, DataverseNO, V1, UNF:6:e9lNw9t8eg4p8jQOWC0SpQ== [fileUNF] Contains under-water photographs taken with a standardized frame at non-permanent stations across Svalbard. The database 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...
Photo frames on non-permanent stations (2008) Jan 24, 2018 - NMDC Node UiT UiT The Arctic University of Norway, 2018, "Photo frames on non-permanent stations (2008)", https://doi.org/10.18710/SCJ0YJ, DataverseNO, V1, UNF:6:labgU9WWKMdPp5sbqgnGsw== [fileUNF] Contains under-water photographs taken with a standardized frame at non-permanent stations across Svalbard. The database 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...
Replication Data for: Efficient sampling for ecosystem service supply assessment at a landscape scale Oct 29, 2018 Ancin-Murguzur, Francisco-Javier; Muñoz, Lorena; Monz, Christopher; Fauchald, Per; Hausner, Vera, 2018, "Replication Data for: Efficient sampling for ecosystem service supply assessment at a landscape scale", https://doi.org/10.18710/HDPQGY, DataverseNO, V1 Dataset and scripts used for the article entitled "Efficient sampling for ecosystem service supply assessment at a landscape scale", published in the Ecosystems and People journal
Biogenic silica production and diatom dynamics in the Svalbard region during spring 2016 Dec 12, 2018 Krause, Jeffrey W., 2018, "Biogenic silica production and diatom dynamics in the Svalbard region during spring 2016", https://doi.org/10.18710/CFABRJ, DataverseNO, V1 Raw data used in the publication of "Biogenic silica production and diatom dynamics in the Svalbard region during spring 2016". ARCEx. The Research Centre for Arctic Petroleum Exploration, ARCEx, is a research collaboration between academia and industry with support from the Rese...
Study level data for Does the Flipped Classroom Improve Student Learning and Satisfaction? A Systematic Review and Meta-Analysis Jan 13, 2020 Låg, Torstein; Sæle, Rannveig Grøm, 2019, "Study level data for Does the Flipped Classroom Improve Student Learning and Satisfaction? A Systematic Review and Meta-Analysis", https://doi.org/10.18710/QA8WBZ, DataverseNO, V2 This dataset contains the study-level data used in the meta-analyses reported in the review titled Does the Flipped Classroom Improve Student Learning and Satisfaction? A Systematic Review and Meta-Analysis'. The analyses summarize evidence from studies comparing a flipped classr...

Data from Smoke Particle Impact Detector (SPID) rocket instrument

Oct 8, 2024

Henriette Trollvik; Tinna Gunnarsdottir, 2024, "Data from Smoke Particle Impact Detector (SPID) rocket instrument", https://doi.org/10.18710/LLRBOS, DataverseNO, V1

It contains data from the smoke particle impact detector (SPID). SPID is a Faraday cup impact probe designed to measure nanometer-sized smoke particles, called meteoric smoke particles, in the mesosphere. These are remnants of meteors ablating in the atmosphere. The instrument wa...

Benchmark dataset for graph classification

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. Theref...

Scenery photos without the frame (1981)

Jan 24, 2018 - NMDC Node UiT

UiT The Arctic University of Norway, 2018, "Scenery photos without the frame (1981)", https://doi.org/10.18710/GWCLHD, DataverseNO, V1, UNF:6:uALl/QSTKQCfB4nlESJGSw== [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...

Photo frames on non-permanent stations (2013)

Jan 24, 2018 - NMDC Node UiT

UiT The Arctic University of Norway, 2018, "Photo frames on non-permanent stations (2013)", https://doi.org/10.18710/PR658J, DataverseNO, V1, UNF:6:47xpkZXGbQcXvtBIrXm8kg== [fileUNF]

Contains under-water photographs taken with a standardized frame at non-permanent stations across Svalbard. The database 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...

Photo frames on non-permanent stations (2016)

Jan 24, 2018 - NMDC Node UiT

UiT The Arctic University of Norway, 2018, "Photo frames on non-permanent stations (2016)", https://doi.org/10.18710/DSE1KK, DataverseNO, V1, UNF:6:QiRpeGyq7S5QPlyVYK/lbg== [fileUNF]

Photo frames on non-permanent stations (2011)

Jan 24, 2018 - NMDC Node UiT

UiT The Arctic University of Norway, 2018, "Photo frames on non-permanent stations (2011)", https://doi.org/10.18710/7MNOAV, DataverseNO, V1, UNF:6:e9lNw9t8eg4p8jQOWC0SpQ== [fileUNF]

Photo frames on non-permanent stations (2008)

Jan 24, 2018 - NMDC Node UiT

UiT The Arctic University of Norway, 2018, "Photo frames on non-permanent stations (2008)", https://doi.org/10.18710/SCJ0YJ, DataverseNO, V1, UNF:6:labgU9WWKMdPp5sbqgnGsw== [fileUNF]

Replication Data for: Efficient sampling for ecosystem service supply assessment at a landscape scale

Oct 29, 2018

Ancin-Murguzur, Francisco-Javier; Muñoz, Lorena; Monz, Christopher; Fauchald, Per; Hausner, Vera, 2018, "Replication Data for: Efficient sampling for ecosystem service supply assessment at a landscape scale", https://doi.org/10.18710/HDPQGY, DataverseNO, V1

Dataset and scripts used for the article entitled "Efficient sampling for ecosystem service supply assessment at a landscape scale", published in the Ecosystems and People journal

Biogenic silica production and diatom dynamics in the Svalbard region during spring 2016

Dec 12, 2018

Krause, Jeffrey W., 2018, "Biogenic silica production and diatom dynamics in the Svalbard region during spring 2016", https://doi.org/10.18710/CFABRJ, DataverseNO, V1

Raw data used in the publication of "Biogenic silica production and diatom dynamics in the Svalbard region during spring 2016". ARCEx. The Research Centre for Arctic Petroleum Exploration, ARCEx, is a research collaboration between academia and industry with support from the Rese...

Study level data for Does the Flipped Classroom Improve Student Learning and Satisfaction? A Systematic Review and Meta-Analysis

Jan 13, 2020

Låg, Torstein; Sæle, Rannveig Grøm, 2019, "Study level data for Does the Flipped Classroom Improve Student Learning and Satisfaction? A Systematic Review and Meta-Analysis", https://doi.org/10.18710/QA8WBZ, DataverseNO, V2

This dataset contains the study-level data used in the meta-analyses reported in the review titled Does the Flipped Classroom Improve Student Learning and Satisfaction? A Systematic Review and Meta-Analysis'. The analyses summarize evidence from studies comparing a flipped classr...

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