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.
Institutions: The University Centre in Svalbard, The University Centre in Svalbard, The University Centre in Svalbard, The University Centre in Svalbard, Norwegian Meteorological Institute / Arctic Data Centre
The file contains time series of meteorological near-surface parameters measured on a temporary meteorological mast on the southern side of the coast of Adventdalen, Svalbard, from July to August 2022: Both temperature, humidity, wind speed, wind direction were measured at two levels.
Institutions: The University Centre in Svalbard, The University Centre in Svalbard, University of Bergen, University of Bergen, The University Centre in Svalbard, Norwegian Meteorological Institute / Arctic Data Centre
A scanning Doppler Lidar was placed in Adventdalen (Central Spitsbergen, Svalbard, Norway) close to the permanent weather mast SN99870. The Lidar measured between 4 July and 23 August 2022 with different scanning patterns in an hourly cycle. The cycle consisted of three Plan Position Indicator (PPI) scans at 1, 5 and 10 degree from xx:00 to xx:10, Range Height Indicator (RHI) scans alternating between up-valley and down-valley direction from xx:10 to xx:50, Doppler-Beam-Swinging (DBS) technique from xx:50 to xy:00. The radial resolution was 10 m with overlapping range gates of 50 m. Short periods of power cuts were encountered. Frequently there were conditions with little backscatter and low carrier-to-noise ratio, especially in light down-valley winds.
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
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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).
Institutions: Norwegian Meteorogical Institute, Norwegian Meteorogical Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2024-05-02T11:12:00Z
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Abstract:
Time series of Monthly Mean Sea Ice Extent (SIE) for Global, computed from the EUMETSAT OSI SAF Sea Ice Concentration (SIC) Climate Data Records v2. EUMETSAT OSI SAF data, with Research and Development input from the ESA Climate Change Initiative programme.
Institutions: Norwegian Meteorogical Institute, Norwegian Meteorogical Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2024-05-02T11:12:00Z
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Abstract:
Time series of Daily Sea Ice Extent (SIE) for Global, computed from the EUMETSAT OSI SAF Sea Ice Concentration (SIC) Climate Data Records v2. EUMETSAT OSI SAF data, with Research and Development input from the ESA Climate Change Initiative programme.
Institutions: Norwegian Meteorogical Institute, Norwegian Meteorogical Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2024-05-02T11:12:00Z
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Abstract:
Time series of Monthly Mean Sea Ice Area (SIA) for Global, computed from the EUMETSAT OSI SAF Sea Ice Concentration (SIC) Climate Data Records v2. EUMETSAT OSI SAF data, with Research and Development input from the ESA Climate Change Initiative programme.
Institutions: Norwegian Meteorogical Institute, Norwegian Meteorogical Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2024-05-02T11:12:00Z
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Abstract:
Time series of Daily Sea Ice Area (SIA) for Global, computed from the EUMETSAT OSI SAF Sea Ice Concentration (SIC) Climate Data Records v2. EUMETSAT OSI SAF data, with Research and Development input from the ESA Climate Change Initiative programme.
EUMETSAT Ocean and Sea Ice Satellite Application Facility (EUMETSAT OSI SAF)
Institutions: EUMETSAT Ocean and Sea Ice Satellite Application Facility, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2024-05-02T11:12:00Z
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Abstract:
The daily analysis of sea ice concentration is obtained from
operational satellite images of the polar regions. It is based on
atmospherically corrected signal and a carefully selected sea ice
concentration algorithm. This product is freely available from the
EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI
SAF). The Eumetsat identifier for the product is OSI-401.
License : All intellectual property rights of the OSI SAF products belong to EUMETSAT. The use of these products is granted to every interested user, free of charge. If you wish to use these products, EUMETSAT's copyright credit must be shown by displaying the words "copyright (year) EUMETSAT" on each of the products used.
Access: Open
EUMETSAT Ocean and Sea Ice Satellite Application Facility (EUMETSAT OSI SAF)
Institutions: EUMETSAT Ocean and Sea Ice Satellite Application Facility, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2024-05-02T11:12:00Z
Show more...
Abstract:
The daily analysis of sea ice concentration is obtained from
operational satellite images of the polar regions. It is based on
atmospherically corrected signal and a carefully selected sea ice
concentration algorithm. This product is freely available from the
EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI
SAF). The Eumetsat identifier for this product is OSI-401.
License : All intellectual property rights of the OSI SAF products belong to EUMETSAT. The use of these products is granted to every interested user, free of charge. If you wish to use these products, EUMETSAT's copyright credit must be shown by displaying the words "copyright (year) EUMETSAT" on each of the products used.
Access: Open
This dataset is a collection of of output from different sources. All data were collected during an IMR funded cruises, work was put into collating and publishing them as part of the EU funded project "Ecologically and economically sustainable mesopelagic fisheries" (MEESO). The aim is to present data that helps interpretation of catch and jull-mounted acoustic data, which are already published in the ICES trawl-acoustic database.
The dataset contains diverse sources of data, as they were registered onboard. It contains raw CTD output data from the ships Seabird CTD instrument for all stations covered, as well as underway vessel activity, positions, and weather station and thermosalinograph data collected during the cruise.
Underway and vertical profiles of light levels were measured with TriOS hyperspectral sensors, these data have been processed by converting spectrally resolved energies into photon counts, which have been integrated over the bandwidth 400 - 700 nm, and are reported as photosynthetically active radiation (PAR) in units of mol quanta per m2 and second.
During the cruise the tow-body MESSOR was routinely deployed. This unit is equipped with a number of sensors, we here report depth resolved size spectra recorded by two types of optical sensors, as well as depth resolved densities of organisms, estimated through counting of resolved echoes at close ranges to the tow-body.
The size spectra from the Optical Particle Counter (OPC) is based on particle sizes estimated directly by the calibrated instrument, sizes are reported as equivalent circular diameters. These data have been binned in logarithmically spaced size bins and linearly spaced depth bins, and are reported in units of # per cm3.
The size spectra from the Video Plankton Recorder(VPR) is based on particle sizes estimated from the total area of in-focus images, using equivalent circular diameter. These data have been binned in logarithmically spaced size bins and linearly spaced depth bins, and are reported in units of # per dm3.
Densities of organisms were estimated from counts of accepted single echo detections in data from a 120 kHz broadband echosounder (EK80, WBTUBE). Echo detections were performed on pulse compressed data, using the full bandwith available (varies per station). Echoes were detected at a threshold of -90 dB, peaks more than 6 dB above background levels (2 way) were accepted as originating from organisms. Inference based on the weaker echoes should be avoided, we recommend thresholding the data further prior to usage. Per ping counts of echoes within acceptable ranges from the transducer were then converted to densities by divinding with the nominal (3 dB beamwidth) ensonified volume of the the beam, and initial averages were then computed for 30 second ping blocks (average ping rate per second 4 to 1).The table reports average densities per TS class and depth range, in the table N is the number of 30 second ping blocks used in the calculation of the depth range average.
The dataset includes data from an Argo float. The Argo float is mainly located in the deep water drifting with the currents there. With 5-10 day intervals, they rise from the depth to the surface while taken measurements during the ascent. The Argo float is equipped with sensors for measuring pressure, temperature, and salinity, and in some cases equipped with additional sensors for biogeochemical measurements. Data from the Argo float are sent, via satellites, to data centres, and are available to users within 24 hours.
XBT profiles of temperature, pressure and sound speed in the Fram Strait from KV Svalbard in September 2011.
There are a total of 45 profiles and 114176 observations.
The XBT probe T5 was used, see http://www.sippican.com/contentmgr/showdetails.php/id/312 for more info on the probe.