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.
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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.
Spatiotemporal variability in mortality and growth of fish larvae and zooplankton in the Lofoten-Barents Sea ecosystem, The Nansen Legacy (SVIM, NLEG)
Institutions: Institute of Marine Reseach - Norway, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2024-01-03T11:42:12Z
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Abstract:
The SVIM archive contains results from an ocean and sea ice hindcast. The original version of the archive covered the period 1960-2011, and has later been extended on several occasions. The results are provided on a 4km polar stereographic grid projection, and the ocean model has a vertical resolution of 32 s layers. The focus is an adequate representation of the Atlantic influenced water masses within the Nordic Seas and the Barents Sea. Less emphasize has been put on the areas downstream of the Arctic bound Atlantic Water flow, i.e. the Arctic Ocean and the Greenland Sea. There were multiple aims for this product, including (1) process studies within physical oceanography, (2) representation of oceanographic conditions for other applications such as primary production models and individual-based models for zoo- and ichtyoplankton, (3) boundary values for smaller scale model studies. For ocean circulation the Regional Ocean Modeling System (ROMS; https://www.myroms.org/) was used (v.3.2 up to and including September 2018, v.3.5 thereafter). The sea-ice model used is similar to the module described in Budgell (Ocean Dyn. 2005). Boundary values for the ocean model were derived from the Simple Ocean Data Assimilation dataset (SODA v.2.1.6), while boundary values for the sea ice conditions were taken from a regional simulation (Sandø et al., JGR 2012). After 2008, the ocean boundaries were forced with monthly climatologies from 2000-2008, while for ice conditions after 2007, the 2000-2007 monthly climatologies were used. Tidal forcing was based on the global ocean tides model TPXO4. The quality of the model results for the original archive period were assessed by Lien et al. (2013; https://www.hi.no/resources/publikasjoner/fisken-og-havet/2013/fh_7-2013_swim_til_web.pdf).
Spatiotemporal variability in mortality and growth of fish larvae and zooplankton in the Lofoten-Barents Sea ecosystem, The Nansen Legacy (SVIM, NLEG)
Institutions: Institute of Marine Reseach - Norway, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2024-01-03T11:42:12Z
Show more...
Abstract:
The SVIM archive contains results from an ocean and sea ice hindcast. The original version of the archive covered the period 1960-2011, and has later been extended on several occasions. The results are provided on a 4km polar stereographic grid projection, and the ocean model has a vertical resolution of 32 s layers. The focus is an adequate representation of the Atlantic influenced water masses within the Nordic Seas and the Barents Sea. Less emphasize has been put on the areas downstream of the Arctic bound Atlantic Water flow, i.e. the Arctic Ocean and the Greenland Sea. There were multiple aims for this product, including (1) process studies within physical oceanography, (2) representation of oceanographic conditions for other applications such as primary production models and individual-based models for zoo- and ichtyoplankton, (3) boundary values for smaller scale model studies. For ocean circulation the Regional Ocean Modeling System (ROMS; https://www.myroms.org/) was used (v.3.2 up to and including September 2018, v.3.5 thereafter). The sea-ice model used is similar to the module described in Budgell (Ocean Dyn. 2005). Boundary values for the ocean model were derived from the Simple Ocean Data Assimilation dataset (SODA v.2.1.6), while boundary values for the sea ice conditions were taken from a regional simulation (Sandø et al., JGR 2012). After 2008, the ocean boundaries were forced with monthly climatologies from 2000-2008, while for ice conditions after 2007, the 2000-2007 monthly climatologies were used. Tidal forcing was based on the global ocean tides model TPXO4. The quality of the model results for the original archive period were assessed by Lien et al. (2013; https://www.hi.no/resources/publikasjoner/fisken-og-havet/2013/fh_7-2013_swim_til_web.pdf).
Centre for Sustainable Arctic Marine and Coastal Technology, Arctic Offshore and Coastal Engineering in a Changing Climate, Programme for International Partnerships for Excellent Education, Research, and Innovation, Dynamics of Floating Ice, Large-scale Programme for Petroleum Research, Survey to assess harp and hooded seal pup production in the Greenland sea pack-ice in 2018, Integrated System for Operations in Polar Seas, Nansen Legacy, Dynamics of Floating ice, Australian Antarctic Program projects 4593 and 4506, Joyce Lambert Antarctic Research Fund grant no. 604086, Research Council of Norway grant no. 280625, Fram 2020, Arctic Challenge for Sustainability II, JSPS KAKENHI Grant Numbers JP 19H00801, 19H05512, 21K14357 and 22H00241, Survey to assess harp and hooded seal pup production in the Greenland sea pack-ice in 2022, SURVEYS TO ASSESS HARP AND HOODED SEAL PUP PRODUCTION IN THE GREENLAND SEA PACK-ICE IN 2022 (SAMCoT, AOCEC, INTPART, DOFI, PTEROMAKS2, ISOPS, AeN, ArCS II)
Institutions: Norwegian Meteorological Institute (MET), University of Melbourne, College of Fisheries and Ocean Sciences, University of Tokyo, Havforskningsinstituttet, Norwegian Meteorological Institute / Arctic Data Centre
Sea ice drift trajectories and waves in sea ice data collected over the period 2017-2022 by a consortium of researchers, both in the Arctic and the Antarctic.
The dataset contains 2 archives. The first archive contains all data (saved as netCDF files) relative to the Figures presented in Boutin et al. (2023). The second archive contains monthly averaged fields (saved as netCDF files) of the simulation described in Boutin et al. (2023). They include quantities relative to sea ice properties (icemod files) and to the mass balance (ice growth/melt etc... simba files). They cover the north Atlantic and the Arctic Ocean (north of Bering Strait) for the period 2000-2018.
icemod_monthly.tar.gz contains the gridded monthly averaged quantities used in the manuscript "Modelling the evolution of Arctic multiyear sea ice over 2000-2018" for each year between 2000 and 2018.Multiyear ice variables are conc_myi (concentration of multiyear ice in a grid cell) and thick_myi (cell average thickness of multiyear ice in a grid cell, in metres), along with source and sink terms (units per day) for multiyear concentration (dci_mlt_myi, dci_ridge_myi and dci_rplnt_myi, for melt, ridging and replenishment) and volume (dvi_mlt_myi and dvi_rplnt_myi, for melt and replenishment).transports_monthly_sections.zip contains the transports of multiyear ice through the sections defining each region in Figure 8 of the paper. MYIsiaXport indicates multiyear ice area transport, while myiXport indicates multiyear ice volume transport.In case information is missing, do not hesitate to contact heather.regan@nersc.no, guillaume.boutin@nersc.no, or einar.olason@nersc.no.
Institutions: UiT The Arctic University of Norway, UiT The Arctic University of Norway, UiT The Arctic University of Norway, Norwegain Infrastructure for Research Data (NIRD)
This dataset includes taxonomy and daily vertical export rates of planktonic protist cells, planktonic protist carbon (PPC), and zooplankton abundance and biomass fluxes. Samples were collected from long-term sediment traps deployed on moorings north and northeast of Svalbard from October 2017 to October 2018, as part of the Nansen Legacy (UiT, NO) and Arctic PRIZE (SAMS, UK).
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) from the sea water, sea ice, melt pond water and brine. Samples were collected in August 2018 as part of cruise 2018707, JC1_2, 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. Samples from sea ice were collected at three stations (gear: Kovacs ice corer 9cm). A sample of the brine in the core holes was collected from one of these. Under-ice water (0.5m) were collected at two stations (gear: Go-Flo Water Sampler) from a hole in the ice. Samples from melt ponds were collected at four stations (five sites) using a bottle. All samples were collected on pre-combusted Whatman GF/F filters. For sea water we prepared duplicate subsamples (250-700 mL). For melted sea ice, melt pond water and brine where the volume of water was limited and/or the particle load high, the sample volume was reduced (150-500 mL) or occasionally limited to one sample. Filters were air dried and stored at room temperature until analysis on a Flash 2000 Organic Elemental Analyzer (Thermo Scientific). Presented are averaged POC values (in mg m-3). (PON data omitted due to inconsistent results). Standard errors were estimated according to Hozo et al 2005.
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.
Institutions: UiT The Arctic University of Norway, UiT The Arctic University of Norway, UiT The Arctic University of Norway, Norwegain Infrastructure for Research Data (NIRD)
This dataset includes daily vertical export rates (mg/m2/d) of Total Particulate Matter (TPM), Particulate Inorganic Matter (PIM), Particulate Organic Matter (POM), Particulate Organic Carbon (POC), Particulate Nitrogen (PN), Carbon:Nitrogen ratio (C:N), chlorophyll a (chl a), phaeopigments and zooplankton fecal pellets carbon (FPC) from krill, copepods, appendicularians, pteropods and unknown pellets, from long-term sediment traps deployed on moorings north and northeast of Svalbard from October 2017 to October 2018, as part of the Nansen Legacy (UiT, NO) and Arctic PRIZE (SAMS, UK) projects.
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 April-May 2021 as part of cruise 2021704, Q2, 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) from a hole in the ice for POC/PON analysis. For sea water triplicate subsamples (500–1500 mL) were filtered on pre-combusted Whatman GF/F filters, the limited volume of melted sea ice allowed only one but occasionally triplicates subsamples (200-2000 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 March 2021 as part of cruise 2021703, Q1, 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) from a hole in the ice for POC/PON analysis. For sea 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 (500-1500 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 April-May 2021 as part of cruise 2021704, Q2, 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) from a hole in the ice for POC/PON analysis. For sea water triplicate subsamples (500–1500 mL) were filtered on pre-combusted Whatman GF/F filters, the limited volume of melted sea ice allowed only one but occasionally triplicates subsamples (200-2000 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