Citation information for individual datasets is often provided in the metadata. However, not all datasets have this information embedded in the discovery metadata. On a general basis a citation of a dataset include the same components as any other citation:
author,
title,
year of publication,
publisher (for data this is often the archive where it is housed),
edition or version,
access information (a URL or persistent identifier, e.g. DOI if provided)
The information required to properly cite a dataset is normally provided in the discovery metadata the datasets.
If you use data retrieved through this portal, please acknowledge the SAON Data Portal.
Brief user guide
The Data Access Portal has information in 3 columns. An outline of the content in these columns is provided above. When first entering the search interface, all potential datasets are listed. Datasets are indicated in the map and results tabulation elements which are located in the middle column. The order of results can be modified using the "Sort by" option in the left column. On top of this column is normally relevant guidance information to user presented as collapsible elements.
If the user want to refine the search, this can be done by constraining the bounding box search. This is done in the map - the listing of datasets is automatically updated. Date constraints can be added in the left column. For these to take effect, the user has to push the button marked search. In the left column it is also possible to specific text elements to search for in the datasets. Again pushing the button marked "Search" is necessary for these to take action. Complex search patterns can be constructed using logical operators through the drop down menu above the text field. Text strings that are not quoted are treated as separate words and will match any of the words (i.e. assuming the OR operator). Phrases may be prefixed with '-' to indicate no occurence of the phrase in the results.
Other elements indicated in the left and right columns are facet searches, i.e. these are keywords that are found in the datasets and all datasets that contain these specific keywords in the appropriate metadata elements are listed together. Further refinement can be done using full text, date or bounding box constraints. Individuals, organisations and data centres involved in generating or curating the datasets are listed in the facets in the right column.
Underlying dataset for the Lavergne et al. (2020) manuscript in EGU The Cryosphere Discussion. Processed from GCOM-W1 AMSR2 36.5 GHz (Ka-band) imagery. See the manuscript for more details.
Underlying dataset for the Lavergne et al. (2020) manuscript in EGU The Cryosphere Discussion. Processed from GCOM-W1 AMSR2 36.5 GHz (Ka-band) imagery. See the manuscript for more details.
Underlying dataset for the Lavergne et al. (2020) manuscript in EGU The Cryosphere Discussion. Processed from GCOM-W1 AMSR2 36.5 GHz (Ka-band) imagery. See the manuscript for more details.
Underlying dataset for the Lavergne et al. (2020) manuscript in EGU The Cryosphere Discussion. Processed from GCOM-W1 AMSR2 36.5 GHz (Ka-band) imagery. See the manuscript for more details.
Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are daily composites of merged sensor (MERIS, MODIS Aqua, SeaWiFS LAC & GAC, VIIRS, OLCI) products. MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007. VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2013; and at the third stage OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30. VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA/s l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.12 (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with polymer. The Rrs were binned to a sinusoidal 1km level-3 grid, and later to 1km geographic projection, by Brockmann Consult/s SNAP. Derived products were generally computed with the standard algorithmsthrough SeaDAS. QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting. The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships. Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated accorsing to Jackson et al. (in prep).
Institutions: UNIS, Norwegian Meteorological Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2023-02-28T13:00:00Z
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Abstract:
Wave observations from a buoy located in Isfjorden at Svalbard. This dataset contains several sub datasets representing different variables and time periods.
Geophone and Hydrophone deployments in Svalbard 2022, to measure the vibrations in sea ice following the appearance of cracks. For more information, see https://github.com/jvoermans/Geophone_Logger .
This dataset includes concentrations of Particulate Organic Carbon (POC) and Particulate Organic Nitrogen (PON) from the sea water and sea ice. Samples were collected in August 2019 as part of cruise 2019706, Q3, in the northern Barents Sea as part of the Nansen Legacy project. Sea water was sampled at eight different stations using Niskin bottles attached to a rosette onboard R/V Kronprins Haakon. At three of these stations we also conducted sea ice work and sampled sea ice cores (gear: Kovacs ice corer 9cm), under-ice water (gear: Niskin bottle) from a hole in the ice and water from meltponds (gear: bucket) for POC/PON analysis. For sea water/meltpond water triplicate subsamples (500–2000 mL) were filtered on pre-combusted Whatman GF/F filters, the limited volume of melted sea ice allowed only one but occasionally triplicates subsamples (500-1000 mL). Filters were stored at −20 °C, and analyzed within 1 years on a Leeman Lab CHN Analyzer according to the procedures described by Reigstad et al. (2008). Presented are averaged POC and PON values (in mg m-3), standard deviations and the C:N ratio. PON values < 3x blank values were excluded from the dataset.
This dataset includes concentrations of Particulate Organic Carbon (POC) and Particulate Organic Nitrogen (PON) from the sea water and sea ice. Samples were collected in December 2019 as part of cruise 2019711, Q4, in the northern Barents Sea as part of the Nansen Legacy project. Sea water was sampled at seven different stations using Niskin bottles attached to a rosette onboard R/V Kronprins Haakon. At two of these stations we also conducted sea ice work and sampled sea ice cores (gear: Kovacs ice corer 9cm) and under-ice water (gear: Niskin bottle) from a hole in the ice for POC/PON analysis. For sea water triplicate subsamples (500–3000 mL) were filtered on pre-combusted Whatman GF/F filters, the limited volume of melted sea ice allowed only one but occasionally triplicates subsamples (500-1500 mL). Filters were stored at −20 °C, and analyzed within 1 years on a Leeman Lab CHN Analyzer according to the procedures described by Reigstad et al. (2008). Presented are averaged POC and PON values (in mg m-3), standard deviations and the C:N ratio. PON values < 3x blank values were excluded from the dataset.
This dataset includes concentrations of Particulate Organic Carbon (POC) and Particulate Organic Nitrogen (PON) from the sea water and sea ice. Samples were collected in February and March 2022 as part of cruise 2022702, JC3, in the northern Barents Sea as part of the Nansen Legacy project. Sea water was sampled at seven different stations using Niskin bottles attached to a rosette onboard R/V Kronprins Haakon. At three of these stations we also conducted sea ice work and sampled sea ice cores (gear: Kovacs ice corer 9cm) and under-ice water (gear: Niskin bottle) for POC/PON analysis. For sea water water triplicate subsamples (1000–2000 mL) were filtered on pre-combusted Whatman GF/F filters, the limited volume of melted sea ice allowed only one but occasionally triplicates subsamples (250-2000 mL). Filters were stored at −20 °C, and analyzed within 1 years on a Leeman Lab CHN Analyzer according to the procedures described by Reigstad et al. (2008). Presented are averaged POC and PON values (in mg m-3), standard deviations and the C:N ratio. PON values < 3x blank values were excluded from the dataset.
This dataset includes concentrations of Particulate Organic Carbon (POC) and Particulate Organic Nitrogen (PON) from the sea water and sea ice. Samples were collected in August and September 2021 as part of cruise 2021710, JC2-2, in the northern Barents Sea and the Arctic basin as part of the Nansen Legacy project. Sea water was sampled at seven different stations using Niskin bottles attached to a rosette onboard R/V Kronprins Haakon. At three of these stations we also conducted sea ice work and sampled sea ice cores (gear: Kovacs ice corer 9cm) and under-ice water (gear: Niskin bottle) from a hole in the ice and water from meltponds (gear: bucket) for POC/PON analysis. For sea water water triplicate subsamples (1000–9500 mL) were filtered on pre-combusted Whatman GF/F filters, the limited volume of melted sea ice allowed only one but occasionally triplicates subsamples (290-2350 mL). Filters were stored at −20 °C, and analyzed within 1 years on a Leeman Lab CHN Analyzer according to the procedures described by Reigstad et al. (2008). Presented are averaged POC and PON values (in mg m-3), standard deviations and the C:N ratio. PON values < 3x blank values were excluded from the dataset.
This dataset includes observations of benthic organisms from Isfjorden, Billefjorden, Kongsfjorden, Magdalenafjorden and the marginal ice zone (MIZ). The organisms were collected using benthic trawls. The trawls were done in April 2023, during a field trip on F/F Helmer Hanssen for students in the AB202 course at UNIS. The benthos were described to the lowest possible taxonomic level by the students.
Phytoplankton data collected on a scientific cruise in the biology course AB-202 by The University Centre in Svalbard. The data is collected from different fjords on the west coast of Spitsbergen and by the marginal ice zone in the period 26.04.2023-01.05.2023.
The data was collected from different fjords around Spitsbergen with the use of macrozooplankton nets (1000 μm). The sampling locations are Isfjorden (IsK), Kongsfjorden (KB3) and Magdalenefjorden (MF), and the sampling was done at almost maximum depth.
a) Sea bed mapping and b) Glacial geological and paleo climatic research.Acustical profile data from seismic, penetration echo sounder and side-scanning sonar.