Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
43
datasets available to search
ShareScore release 0.9.0
Dataset results
43 results for “Norwegian Sea”
Water Body Checklists 2019: Norwegian Sea Species List
Species checklists created using effechecka and modified polygons from IHO. The polygons were reduced in resolution.<p></p>List of species collected from the Norwegian Sea using effechecka and a modified polygon from the International Hydrographic Association. A filter was applied (based on data from WoRMS) to remove all non-marine taxa.
Water Body Checklists: Norwegian Sea Species List
Species checklists created using effechecka and modified polygons from IHO. The polygons were reduced in resolution.<p></p>List of species collected from the Norwegian Sea using effechecka and a modified polygon from the International Hydrographic Association. A filter was applied (based on data from WoRMS) to remove all non-marine taxa.
Figure 9 in Behaviour and habitat of Neohela monstrosa (Boeck, 1861) (Amphipoda: Corophiida) in Norwegian Sea deep water
Figure 9. Glacial eelpout (Lycodes frigidus) is often observed in the same habitat as dense populations of Neohela monstrosa and may represent an important predator from which the latter has to hide in its burrow.
Correlation challenges for North Sea offshore wind power: a Norwegian case study
<p>Dataset and results from this study: Hjelmeland, M., & Nøland, J. K. (2023). Correlation challenges for North Sea offshore wind power: a Norwegian case study. Scientific Reports 2023 13:1, 13(1), 1–17. <a href="https://doi.org/10.1038/s41598-023-45829-2">https://doi.org/10.1038/s41598-023-45829-2</a></p><p>The git hub repo with source code can be found here: <a href="https://github.com/martinhjel/wind-covariation">https://github.com/martinhjel/wind-covariation</a></p>
Radiolaria taxa in the Norwegian Sea and Arctic Ocean
<p>Radiolaria taxa in the Norwegian Sea and Arctic Ocean</p>
Radiolaria specimens from the Norwegian Sea and Arctic Ocean
<p>The Norwegian GBIF node approved a data mobilization grant for the UiO Natural History Museum in 2015 for co-funding the preparation and publication of primary biodiversity data on Radiolaria specimens from the Norwegian Sea (Norskehavet). Additional data from Polhavet, Grønnlandshavet, Islandshavet, Norskehavet, Korsfjorden, Sognefjorden and Hardangerfjorden are also available and will be considered for continued data mobilization projects in 2016. This first data mobilization project from Norskehavet has been estimated to include a total of 18 000 presence-absence data with approximately 8000 presence-occurrences.</p>
Data from: Feeding ecology of Northeast Atlantic mackerel, Norwegian spring-spawning herring and blue whiting in the Norwegian Sea
The Norwegian spring-spawning (NSS) herring (Clupea harengus), blue whiting (Micromesistius poutassou) and Northeast Atlantic (NEA) mackerel (Scomber scombrus) are extremely abundant pelagic planktivores that feed in the Norwegian Sea (NS) during spring and summer. This study investigated the feeding ecology and diet composition of these commercially important fish stocks on the basis of biological data, including an extensive set of stomach samples in combination with hydrographical data, zooplankton samples and acoustic abundance data from 12 stock monitoring surveys carried out in 2005-2010. Mackerel were absent during the spring, but had generally high feeding overlap with herring in the summer, with a diet mainly based on calanoid copepods, especially Calanus finmarchicus, as well as a similar diet width. Stomach fullness in herring diminished from spring to summer and feeding incidence was lower than that of mackerel in summer. However, stomach fullness did not differ between the two species, indicating that herring maintain an equally efficient pattern of feeding as mackerel in summer, but on a diet that is less dominated by copepods and is more reliant on larger prey. Blue whiting tended to have a low dietary overlap with mackerel and herring, with larger prey such as euphausiids and amphipods dominating, and stomach fullness and feeding incidence increasing with length. For all the species feeding incidence increased with decreasing temperature, and for mackerel so did stomach fullness, indicating that feeding activity is highest in areas associated with colder water masses. Significant annual effects on diet composition and feeding-related variables suggested that the three species are able to adapt to different food and environmental conditions. These annual effects are likely to have an important impact on the predation pressure on different plankton groups and the carrying capacity of individual systems, and emphasise the importance of regular monitoring of pelagic fish diets.
Distribution. Restricted to the cooler waters of the N Atlantic Ocean from 71° 30" N in the Norwegian Sea, Iceland, and [Labrador (Canada) in the N, to Madeira, Azores, and NE USA to the S; single records from the Gulf of Mexico and E Mediterranean Sea are thought to represent vagrant individuals. In general, this species appears to be more widespread in E Atlantic Ocean than in W Atlantic Ocean, which may be related to preferences for cooler water temperatures. in Ziphiidae
Distribution. Restricted to the cooler waters of the N Atlantic Ocean from 71° 30" N in the Norwegian Sea, Iceland, and [Labrador (Canada) in the N, to Madeira, Azores, and NE USA to the S; single records from the Gulf of Mexico and E Mediterranean Sea are thought to represent vagrant individuals. In general, this species appears to be more widespread in E Atlantic Ocean than in W Atlantic Ocean, which may be related to preferences for cooler water temperatures.
Figure 5. Pereopods 3 and 4 in A new species of Exitomelita (Amphipoda: Melitidae) from a deep-water wood fall in the northern Norwegian Sea
Figure 5. Pereopods 3 and 4 from holotype Exitomelita lignicola (ZMBN 87905, male 19 mm). All scale bars 0.1 mm.
Figure 2. Epimeral plate 3, uropods 1, 2 and 3 in A new species of Exitomelita (Amphipoda: Melitidae) from a deep-water wood fall in the northern Norwegian Sea
Figure 2. Epimeral plate 3, uropods 1, 2 and 3, telson from holotype Exitomelita lignicola (ZMBN 87905, male 19 mm) head, dorsal view of pleon and urosome from paratype E. lignicola (ZMBN 87907, male 16 mm). All scale bars 0.1 mm.
Figure 1 in A new species of Exitomelita (Amphipoda: Melitidae) from a deep-water wood fall in the northern Norwegian Sea
Figure 1. (A) Map of the northernmost Atlantic Ocean with type locality (wood fall) and vent- and seep-fields marked. (B) Habitus of holotype Exitomelita lignicola (ZMBN 87905) before dissection.
Figure 4. Pereopods 1 and 2 in A new species of Exitomelita (Amphipoda: Melitidae) from a deep-water wood fall in the northern Norwegian Sea
Figure 4. Pereopods 1 and 2 from holotype Exitomelita lignicola (ZMBN 87905, male 19 mm). All scale bars 0.1 mm.
Figure 6. Pereopods 5, 6 and 7 in A new species of Exitomelita (Amphipoda: Melitidae) from a deep-water wood fall in the northern Norwegian Sea
Figure 6. Pereopods 5, 6 and 7 from holotype Exitomelita lignicola (ZMBN 87905, male 19 mm). All scale bars 0.1 mm.
Figure 3. Antennae 1 and 2 in A new species of Exitomelita (Amphipoda: Melitidae) from a deep-water wood fall in the northern Norwegian Sea
Figure 3. Antennae 1 and 2, labrum, right mandible, labium, maxillae 1 and 2, maxilliped from holotype Exitomelita lignicola (ZMBN 87905, male 19 mm). All scale bares 0.1 mm.
Data from: Feeding ecology of Northeast Atlantic mackerel, Norwegian spring-spawning herring and blue whiting in the Norwegian Sea
Open the record for dataset details and reuse information.
Figure 8 in Behaviour and habitat of Neohela monstrosa (Boeck, 1861) (Amphipoda: Corophiida) in Norwegian Sea deep water
Figure 8. Neohela monstrosa waving the second antennae in a sweeping motion while the first antennae remain in a more upright position. Movement is indicated with arrows, and the position of the second antennae is indicated with a dotted line (from video observations at Asterix; see Supplemental material).
Figure 6. A in Behaviour and habitat of Neohela monstrosa (Boeck, 1861) (Amphipoda: Corophiida) in Norwegian Sea deep water
Figure 6. A common position for Neohela monstrosa is in the opening of the burrow; (a, b) show the amphipod holding a ball of mud between the gnathopods. c. A burrow with antennae extending from a side tunnel.
Figure 5 in Behaviour and habitat of Neohela monstrosa (Boeck, 1861) (Amphipoda: Corophiida) in Norwegian Sea deep water
Figure 5. Typical distribution of Neohela monstrosa burrows in a densely populated area. The photo from a video transect at station 301 at 1935 m depth shows ~15 burrows made by small (white arrows) and large (black arrows) individuals. Scale is indicated by two laser spots that are 10 cm apart.
Figure 7. A in Behaviour and habitat of Neohela monstrosa (Boeck, 1861) (Amphipoda: Corophiida) in Norwegian Sea deep water
Figure 7. A Neohela monstrosa digging out sandy mud from its burrow. In sequence, the photos show movement of a sediment ball from the bottom of the burrow (a) to the edge (c). Photos are taken from a MAREANO video record (see Supplemental material).
Figure 4 in Behaviour and habitat of Neohela monstrosa (Boeck, 1861) (Amphipoda: Corophiida) in Norwegian Sea deep water
Figure 4. Density of small burrows most likely representing Neohela monstrosa along the video lines from stations 490 and 302. Patches are indicated by separate peaks in abundance. The solid lines in the plots of two selected stations represent a moving average. These two stations did not have the highest density of amphipod observations, but numerous small burrows useful for estimating patch sizes.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.