The core partner data centres that are integrated in NorDataNet are listed in https://www.nordatanet.no/en/node/69. In addition to this NorDataNet harvests information on relevant datasets from a number of other data centres. The data centre responsible for the data presented is usually (but not always) listed in the discovery metadata. In essence NorDataNet is an aggregating service that combines information from a number of existing data centres.
Citation of data and service
If you use data retrieved through this portal, please acknowledge our funding source:
Research Council of Norway, project number 245967/F50, Norwegian Scientific Data Network.
Always remember to cite data when used!
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)
All partner repositories of NorDataNet support Digital Object Identifiers (DOI), but not all datasets are minted. Whether or not minted depends often on source of the data (e.g. operational data are often yet not minted). However, all data centres support persistent identifiers according to local systems. The information required to properly cite a dataset is normally provided in the discovery metadata the datasets.
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 identified in the drop down menu with and phrases embedded in quotation marks. Prefixing a phrase with '-' negates the phrase (i.e. should not occur in the results). Searches are case insensitive.
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. The combination of search fields (including facets) is based on a logical "AND" combination of the fields, i.e. all conditions are fulfilled for the results provided.
The data are collected using a Kongsberg Seaglider in the Arctic Ocean, north of Svalbard in late fall 2018. Quality-controlled, 1-decibar vertically interpolated observations of the water column temperature and salinity in the upper 1000 m, and the depth-average currents (DAC) are provided. The data set is collected as a part of the Nansen Legacy project, funded by the Research Council of Norway (project number 276730).
The Seaglider (sg564) was deployed from the RV Kronprins Haakon on 17 September 2018 with a mission planned to collect multiple transects across the warm Atlantic Water boundary current north of Svalbard. Sea ice was avoided. A total of 377 dives (754 profiles) were performed before recovery on 11 November 2018. The Seaglider operated between surface and 1000 m depth, sampling conductivity and temperature on both dives and climbs at a sampling rate of 10 s in the upper 200 m, 20 s between 200 m and 600 m, and 30 s below 600 m. The vertical velocity was normally close to 10 cm/s. The Seaglider was equipped with a Paine strain-gauge pressure sensor, a SBE CT Sail and an Aanderaa dissolved oxygen sensor. Oxygen data are not calibrated, hence not submitted. The data set was processed using the University of East Anglia Seaglider toolbox (http://www.byqueste.com/toolbox.html).
Hard limits on salinity and temperature were applied to exclude obvious outliers and data gaps were then linearly interpolated. Outputs from the toolbox are separated into dive and climb profiles, organized starting from the surface, and vertically interpolated at a regular 1-db interval. Each data point in the profile also has the corresponding time and position. Temperature at ITS-90 scale and salinity at the practical salinity scale are submitted for archiving. Processed practical salinity and temperature are accurate to 0.01 and 0.001C, respectively, and DAC is accurate to 0.01 m/s. Data spikes above three standard deviations, for each pressure level over all profiles, were removed during post-processing. Finally, a salinity offset of +0.005 was applied after comparing the deep part of the Seaglider dives (750 m to 1000 m) to nearby CTD profiles (within 7 days and 15 km) collected from the RV Kronprins Haakon (cruise KH2018709). No correction on temperature was necessary.