181 to 190 of 1,004 Results
Aug 19, 2024
Gahlawat, Sahil; Hopmann, Kathrin H.; Castro, Abril C., 2024, "Supporting Data for: Advancing 19F NMR Prediction of Metal-Fluoride Complexes in Solution: Insights from Ab Initio Molecular Dynamics", https://doi.org/10.18710/OEYQII, DataverseNO, V1
Introduction: This Dataverse entry contains supporting data for our journal article “Advancing 19F NMR Prediction of Metal-Fluoride Complexes in Solution: Insights from Ab Initio Molecular Dynamics” submitted for review. The dataset contains additional computational work performed to support the research work, which was not included in the manuscri... |
Apr 4, 2025
Sowiński, Mateusz P.; Mocanu, Elena M.; Ruskin-Dodd, H.; Cordes, David B.; McKay, Aidan P.; Lovett, Janet E.; Haugland-Grange, M., 2025, "Replication Data for: Sigmatropic rearrangement enables access to a highly stable spirocyclic nitroxide for protein spin labelling", https://doi.org/10.18710/VC1H83, DataverseNO, V2
Nitroxides are stable organic radicals with exceptionally long lifetimes, which render them uniquely suitable as observable probes or polarising agents for spectroscopic investigation of biomolecular structure and dynamics. Spin labelling enables the study of biomolecules using electron paramagnetic resonance (EPR) spectroscopy. Here, we describe t... |
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 antibiotics and transported to hospital by the University of Northern Norways... |
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 Agglutinated foraminifera), B (Benthic Calcareous foraminifera), P (Planktic... |
Feb 14, 2025
Horaud, Mathilde; Raventós, Núria; Præbel, Kim; Galià-Camps, Carles; Pegueroles, Cinta; Carreras, Carlos; Pascual, Marta; Tuset, Victor M; Bhat, Shripathi; Lynghammar, Arve, 2025, "Supporting Data for: Allochrony in Atlantic lumpfish: genomic and otolith shape divergence between spring and autumn spawners", https://doi.org/10.18710/RRWSIR, DataverseNO, V1
This data set contains two datasets. Firstly, the Single Nucleotide Polymorphism (SNP) genotypes for the Atlantic lumpfish (Cyclopterus lumpus) used in the population genomics study. Samples are collected from fjords around Norway (Sørøya and Namdal). The genotypes are called using whole genome shotgun sequencing approach. Second data is 4th wavele... |
Oct 3, 2022 - Tromsø Geophysical Observatory
Tromsø Geophysical Observatory, 2022, "TGO Ramfjordmoen Ionosonde Data September 2022", https://doi.org/10.18710/XIB9UG, DataverseNO, V1
About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from September 01-30, 2022. 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 Tro... |
Nov 1, 2022 - Tromsø Geophysical Observatory
Tromsø Geophysical Observatory, 2022, "TGO Ramfjordmoen Ionosonde Data October 2022", https://doi.org/10.18710/0Q3XRI, DataverseNO, V1
About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from October 01-31, 2022. 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 Troms... |
Dec 2, 2022 - Tromsø Geophysical Observatory
Tromsø Geophysical Observatory, 2022, "TGO Ramfjordmoen Ionosonde Data November 2022", https://doi.org/10.18710/ANHHQJ, DataverseNO, V1
About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from November 01-30, 2022. 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 Trom... |
May 2, 2025
Kebir, Zina, 2025, "Replication Data for: Assessing the role of kelp for small-scale fisheries by combining fishers’ knowledge of spawning locations with modelled kelp distribution", https://doi.org/10.18710/TPJNMN, DataverseNO, V1
1. Kelp forests are found on rocky shores from polar to temperate coasts, where they provide important ecosystem services to humans. For coastal communities, kelp forests are particularly important as spawning and nursery grounds for small-scale fisheries. Despite their value, surprisingly few studies have assessed how fished species relate to kelp... |
Jan 24, 2018 - NMDC Node UiT
UiT The Arctic University of Norway, 2018, "Photo frames on non-permanent stations (1983)", https://doi.org/10.18710/H5FSD8, DataverseNO, V1, UNF:6:IBiv5PoFLOPh4C/JWPIPEA== [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. These scaled photographs were taken by divers. These photographs wer... |
