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.
Name: Station(#) Unit: none Description: Station number
Name: Year, Month, Day, Hour, Minute Unit: Time in UTC Description: Time when sampling bottles were closed
Name: Latitude, Longitude Unit: Decimal degrees Description: Position of platform when sampling bottles were closed
Name: Pressure Unit: Decibars Description: Average Pressure measured by the CTD from 1 second before the bottle was closed to 1 second after the bottle was closed.
Name: Temperature Unit: Degrees Celcius Description: Average Temperature measured by the CTD from 1 second before the bottle was closed to 1 second after the bottle was closed.
Name: CTD salinity Unit: Unitless scale (Practical Salinity Scale 1978) Description: Average salinity calculated using temperature and conductivity measurements from 1 second before the bottle was closed to 1 second after the bottle was closed.
Name: Lab salinity Unit: Unitless scale (Practical Salinity Scale 1978) Description: Salinity determined by laboratory analysis of sample collected from Niskin bottles.
Name: d18O (permille) Unit: per mille, relative to VSMOW Description: Ratio of isotope ¹⁶O to ¹⁸O in samples collected from Niskin bottles relative to Vienna Stadard Mean Ocean Water.
Name: Oxygen (µmolkg-1) Unit: micromoles of oxygen per kilogram of seawater Description: Dissolved oxygen concentration of samples collected from Niskin bottles.
Name: Barium (µmolkg-1) Unit: micromoles of oxygen per kilogram of seawater Description: Dissolved oxygen concentration of samples collected from Niskin bottles.
Colored dissolved organic matter (CDOM) absorption in seawater and sea ice. Samples filtered through 0.2 µm membrane filter. Absorbance was measured with Shimadzu UV-2401 PC spectrophotometer and 50 or 100 mm quartz cells in the wavelength range 240 to 700 nm. Absorbance was converted to absorption coefficients based on cell length. A baseline correction was applied. More sampling details in Kauko et al. 2017 (https://doi.org/10.1002/2016JG003626), Pavlov et al. 2017 (https://doi.org/10.1002/2016JC012471) and Kowalczuk et al. 2017 (https://doi.org/10.1002/2016JC012589).
Datafiles are separate for samples collected from ship CTD casts or casts with the on-ice mini-rosette. The files (Matlab mat format) include, time, latitude, longitude, pressure (depth in meters), and the CDOM absorption coefficient (1/m) at every wavelength from 240 to 700 nm (461 individual wavelengths). Related data can be found in the water column biogeochemistry dataset https://doi.org/10.21334/npolar.2016.3ebb7f64.
Sea ice data from thick second-year/first-year ice and young ice in a refrozen lead in separate files. Related data and more metadata can be found at the sea ice biogeochemistry dataset https://doi.org/10.21334/npolar.2017.d3e93b31. Metadata in the mat file contains:
- sample ID
- coring site (see the above mentioned papers for more details)
- ice floe number (floe) for thick ice (see the above mentioned papers for more details); for young ice only floe 3
- date_hour: year, month, day, hour (in UTC) OR date as one cell (in UTC)
- latitude (decimals)
- longitude (decimals)
- ice thickness (in cm)
- snow depth (in cm)
- sectionbottom: ice core section bottom distance (in cm) from ice-water interface
- sectiontop: ice core section top distance (in cm) from ice-water interface
- sectiontype (for young ice): ice core section type: 1=whole core, 2=bottom part, 3=top part
- total melted volume of the ice core section (in mL) (for young ice)
- flag_cdom (for thick ice): 1=measurements with 1 cm cuvette (compromises data quality), 0=10 cm cuvette
On the four N-ICE2015 floes we installed in total seven hot-wire fields and seven snow-stake fields following the routine outlined in Perovich [2003]. A rectangular hot-wire field with a side length of approximately 10 m was designed in a way that in each corner a wire was installed close to an ablation stake, and in the middle of the hot-wire field nine snow-stakes with even spacing were set up. Snow depth and ice thickness changes were recorded on a regular basis, and the readings were averaged in space to cover small scale spatial variability.
Data position, ice floe, instrument number (stake number) are added in the json files. Positions are taken from the ice_floe_track at noon (=12:05 UTC). The ice floe name and the stake number are indicated in the original file name. The unit of snow thickness are converted to meters.
Quality
Filename contains snowstake_floe, thereafter floe number, thereafter unique number for field
file contains 2 headerlines and 3 columns, seperator: [space]
#header1: fieldnumber #header2: [date] [thickness in cm] [standard deviation in cm]
Field1 Date cm std 23.01.2015 55.0 12.9 25.01.2015 52.7 13.6 27.01.2015 NAN NAN 01.02.2015 53.4 12.7 08.02.2015 56.1 13.6 12.02.2015 56.6 13.9 16.02.2015 66.4 20.2
On the four N-ICE2015 floes we installed in total seven hot-wire fields and seven snow-stake fields following the routine outlined in Perovich [2003]. A rectangular hot-wire field with a side length of approximately 10 m was designed in a way that in each corner a wire was installed close to an ablation stake, and in the middle of the hot-wire field nine snow-stakes with even spacing were set up. Snow depth and ice thickness changes were recorded on a regular basis, and the readings were averaged in space to cover small scale spatial variability.
Data position, ice floe, instrument number (wire number) are added in the json files. Positions are taken from the ice_floe_track at noon (=12:05 UTC). Ice floe and the wire number are indicated in the original file name. The unit of ice thickness are converted to meters (original files = cm).
Quality
variables: date, ice thickness, standard deviation