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.
Spatiotemporal variability in mortality and growth of fish larvae
and zooplankton in the Lofoten-Barents Sea ecosystem (SVIM) (Spatiotemporal variability in mortality and growth of fish larvae
and zooplankton in the Lofoten-Barents Sea ecosystem (SVIM))
Last metadata update: 2015-06-16T12:00:00Z
Show more...
Abstract:
The dataset contains daily averages from a 54 year (1958-2011) numerical
ocean model hindcast archive, produced with the Regional Ocean
Modeling System (ROMS). ROMS is a three dimensional baroclinic
ocean general circulation model which uses topography-following
s-coordinates in the vertical. This ensures high vertical resolution
in shallow areas such as shelf seas and coastal areas. Here, the
model is run on a grid with 32 s-layers in the vertical. In the
horizontal, the grid resolution is 4 km and covers the Nordic,
Barents and Kara seas, as well as parts of the Arctic Ocean. For
further reading check http://www.imr.no/filarkiv/2014/01/fh_7-2013_swim_til_web.pdf
All SVIM data (daily, monthly, yearly, climatology) are currently
bundled in the same location, data will be separated when a better
application server is implemented.
Spatiotemporal variability in mortality and growth of fish larvae
and zooplankton in the Lofoten-Barents Sea ecosystem (SVIM) (Spatiotemporal variability in mortality and growth of fish larvae
and zooplankton in the Lofoten-Barents Sea ecosystem (SVIM))
Last metadata update: 2015-06-16T12:00:00Z
Show more...
Abstract:
The dataset contains monthly averages from a 54 year (1958-2011) numerical
ocean model hindcast archive, produced with the Regional Ocean
Modeling System (ROMS). ROMS is a three dimensional baroclinic
ocean general circulation model which uses topography-following
s-coordinates in the vertical. This ensures high vertical resolution
in shallow areas such as shelf seas and coastal areas. Here, the
model is run on a grid with 32 s-layers in the vertical. In the
horizontal, the grid resolution is 4 km and covers the Nordic,
Barents and Kara seas, as well as parts of the Arctic Ocean. For
further reading check http://www.imr.no/filarkiv/2014/01/fh_7-2013_swim_til_web.pdf
All SVIM data (daily, monthly, yearly, climatology) are currently
bundled in the same location, data will be separated when a better
application server is implemented.
Spatiotemporal variability in mortality and growth of fish larvae
and zooplankton in the Lofoten-Barents Sea ecosystem (SVIM) (Spatiotemporal variability in mortality and growth of fish larvae
and zooplankton in the Lofoten-Barents Sea ecosystem (SVIM))
Last metadata update: 2015-06-16T12:00:00Z
Show more...
Abstract:
The dataset contains yearly averages from a 54 year (1958-2011) numerical
ocean model hindcast archive, produced with the Regional Ocean
Modeling System (ROMS). ROMS is a three dimensional baroclinic
ocean general circulation model which uses topography-following
s-coordinates in the vertical. This ensures high vertical resolution
in shallow areas such as shelf seas and coastal areas. Here, the
model is run on a grid with 32 s-layers in the vertical. In the
horizontal, the grid resolution is 4 km and covers the Nordic,
Barents and Kara seas, as well as parts of the Arctic Ocean. For
further reading check http://www.imr.no/filarkiv/2014/01/fh_7-2013_swim_til_web.pdf
All SVIM data (daily, monthly, yearly, climatology) are currently
bundled in the same location, data will be separated when a better
application server is implemented.
Spatiotemporal variability in mortality and growth of fish larvae
and zooplankton in the Lofoten-Barents Sea ecosystem (SVIM) (Spatiotemporal variability in mortality and growth of fish larvae
and zooplankton in the Lofoten-Barents Sea ecosystem (SVIM))
Last metadata update: 2015-06-16T12:00:00Z
Show more...
Abstract:
The dataset contains a amonthly climatology generated from a 54 year
(1958-2011) numerical ocean model hindcast archive, produced with the Regional
Ocean Modeling System (ROMS). ROMS is a three dimensional baroclinic ocean
general circulation model which uses topography-following s-coordinates in the
vertical. This ensures high vertical resolution in shallow areas such as shelf
seas and coastal areas. Here, the model is run on a grid with 32 s-layers in
the vertical. In the horizontal, the grid resolution is 4 km and covers the
Nordic, Barents and Kara seas, as well as parts of the Arctic Ocean. For
further reading check http://www.imr.no/filarkiv/2014/01/fh_7-2013_swim_til_web.pdf
All SVIM data (daily, monthly, yearly, climatology) are currently
bundled in the same location, data will be separated when a better
application server is implemented.