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
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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.
Underlying dataset for the Lavergne et al. (2020) manuscript in EGU The Cryosphere Discussion. Processed from GCOM-W1 AMSR2 36.5 GHz (Ka-band) imagery. See the manuscript for more details.
Underlying dataset for the Lavergne et al. (2020) manuscript in EGU The Cryosphere Discussion. Processed from GCOM-W1 AMSR2 36.5 GHz (Ka-band) imagery. See the manuscript for more details.
Underlying dataset for the Lavergne et al. (2020) manuscript in EGU The Cryosphere Discussion. Processed from GCOM-W1 AMSR2 36.5 GHz (Ka-band) imagery. See the manuscript for more details.
Underlying dataset for the Lavergne et al. (2020) manuscript in EGU The Cryosphere Discussion. Processed from GCOM-W1 AMSR2 36.5 GHz (Ka-band) imagery. See the manuscript for more details.
Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are daily composites of merged sensor (MERIS, MODIS Aqua, SeaWiFS LAC & GAC, VIIRS, OLCI) products. MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007. VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2013; and at the third stage OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30. VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA/s l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.12 (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with polymer. The Rrs were binned to a sinusoidal 1km level-3 grid, and later to 1km geographic projection, by Brockmann Consult/s SNAP. Derived products were generally computed with the standard algorithmsthrough SeaDAS. QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting. The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships. Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated accorsing to Jackson et al. (in prep).
Institutions: UNIS, Norwegian Meteorological Institute, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2023-02-28T13:00:00Z
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Abstract:
Wave observations from a buoy located in Isfjorden at Svalbard. This dataset contains several sub datasets representing different variables and time periods.
a) Sea bed mapping and b) Glacial geological and paleo climatic research.Acustical profile data from seismic, penetration echo sounder and side-scanning sonar.
CTD data collected off the coast of Dronning Maud Land, Antarctica during the Troll Transect Cruise 2020-2021. This dataset contains pressure-gridded (1 dbar) CTD data (temperature, conductivity, salinity, chlorophyll, uncalibrated oxygen) from 14 profiles collected between 28.12.2020 and 07.01.2021. Data were collected using an SBE911+ unit (other CTD data were collected during the cruise - they are not included here).
Stations from 010_01 constitute a meridional (offshore) transect along approximately 6.1°E.
Data from an SBE 43 oxygen sensor are included (both as dissolved oxygen and raw sensor voltage) - please note that these data have not been calibrated or quality-controlled, and are provided as-is.
CTD Chlorophyll data were calibrated based on a linear fit of CTD fluorometer against bottle fluorescence measurements:
- First, the median value of dark counts at depth was determined based on measurements from 100 to 500 m depth.
- A visual inspection confirmed that there were no offsets between profiles.
- To calibrate the bottle Chl-a data to the bottle fluorescence measurements, we first only considered the bottle Chl-a value when the standard deviation of the bottle value divided by the fluorescence measurement was < 0.15, to avoid highly noisy parts of the fluorescence profile. Then we subtracted the offset value (1.0495) from the bottle fluorescence measurement, then we fit a linear regression with the bottle Chl-a measurement.
Salinity values have been compared with salinometer measurements from bottle samples from >1000 dbar (n=16). The average offset (CTD minus salinometer) was -0.0038. This was considered within the total margin of error, except for one notable outlier at station sta010_01, where a salinity difference of -0.0164 was found. Removing this offset from the profile brings the bottom temperature-salinity properties closer to the deep water masses further offshore along the same transect. Sta010_01 was also the first profile taken after the unloading operations, during which the CTD package was unsupervised inside a shipping container for several days, where e.g. accretion of salt crystals in the conductivity cell may have led to a time-depended bias when measurements were resumed. However, at this point, we cannot conclude whether the difference at this station is related to a sensor offset or an inaccurate salinometer sample, and no correction was applied to any of the profiles in this file, and with a greater uncertainty to be accounted for at sta010_01.
The ice rubble was observed at the beginning of April 2020 near Longyearbyen town, along the shore of Isfjorden, Spitsbergen. There was no such observation in the previous years and after. The rubble appeared after a storm that lasted for several days and left also piles of seaweed onshore 3-4 m above the water level, revealing the wave height. Laser scanning session (in different tidal phase) was performed 9 April 2020 to estimate the size of the rubble and ice block composition. The main ice rubble had size 250x500m with the sail height of ice blocks up to 6 m above water level. Ice floes constructing the rubble were up to 0.9 m thick.
Quality
Data was obtained with Terrestrial Laser Riegl VZ1000, with the next settings: Theta: 30.000..130.000 (0.040) deg Phi: 0.000..360.000 (0.040) deg Program: 950m (150kHz) [2] That gave 9 260 198 Point counts. Sensitive mode was used to obtain points from wet ice surface. Data was processed in RiScan Pro software, filtered with Octree filters and exported to Las 1.2 and ASCII formats with coordinate resolution 0.01 m and 0.1 m to reduce the size.
Data from the A-TWAIN mooring array on the continental slope of the Nansen Basin at 31E
Currently available: 150 kHz ADCP ocean currents, Temperature, and pressure data from four RBR concertos. The latter will be updated to final form once they have been reprocessed incorporating pre-calibration coefficients. In addition, salinity data as well as data from additional CTD sensors will be made available.
Quality
V1: Fully processed ocean currents. Temperature / pressure data from RBR Concertos have undergone basic processing, but based only on pre-deployment calibration coefficients.
Two oceanographic moorings were deployed by the Norwegian Polar Institute on the continental slope off Dronning Maud Land, East Antarctica, in March 2019 and recovered in December 2020 and January 2021. The data consist of temperature, salinity, oxygen, pressure, and velocity observations from Sea-Bird SBE37 MicroCATs, Sea-Bird SBE56 thermistors, Teledyne 150kHz and 300kHz ADCPs, Nortek Aquadopp current meters, and RBR Concerto CTDs.
The raw data have been processed and quality controlled. All velocities have been corrected for magnetic declination. Data are provided at the original sampling rate (which varies from 5 minutes to 2 hours).
Hydrographic and current time series data from inside of the entrance of Isfjorden at the southern side during 08 Sep 2019 to 08 Jun 2020 at 78°07.517’ N; 014°25.157’ E, and 187 m depth. The mooring was deployed by the University Centre in Svalbard (UNIS) as a part of the AGF course “Polar Ocean Climate” to monitor inflow from the Isfjorden Mouth to Isfjorden proper and the hydrographic differences between outside and inside of the mouth area. It was equipped with two Aanderaa Instruments recording current meters (RCMs) with auxiliary CTD sensors covering the upper and the bottom layer. Additionally, three SBE 37 MicroCAT CTDs and one VEMCO mini temperature logger were evenly distributed over the water column.
Quality
Pressure, temperature and salinity data have been despiked with a window size of 60 and a standard deviation of 2. Temperature and salinity data have been calibrated against nearby SBE 911+ CTD profiles taken during the deployment period. At the same time, care was taken to maintain a stable water column.
Ocean microstructure profiles from a physical oceanography cruise in July-August 2022, in the Nansen and Amundsen Basin on R/V Kronprins Haakon, KH2022710. The data set includes 115 profiles of 1-decibar vertically averaged dissipation rate of turbulent kinetic energy, in situ temperature (ITS-90 scale) and salinity (practical salinity scale).
Quality
Profiles are collected using Sea and Sun Technology vertical microstructure profiler (MSS90L). The first 52 profiles are made with MSS053, the next ones with MSS046. The MSS90L is loosely tethered and is deployed using a winch, electric on board and maunal on the sea ice. Dissipation rate is measured using two airfoil shear probes. Profiles are averages from the two shear probes. The temperature and salinity profiles are measured from the SBE sensors on the same instrument. MSS90L has an unpumped CTD system. Careful corrections for temperature/conductivity sensor time lag and thermal lag were made. Temperature and salinity were corrected after comparison with the ship CTD. An offset of -0.05 is applied for profiles 13:52 and of +0.06 for profiles 53:115. Only downcasts from MSS90L are processed using the Sea and Sun technology routines. Resulting profiles are quality controlled, but still require caution from the user. More details are provided in the cruise report.
The ice rubble was observed at the beginning of April 2020 near Longyearbyen town, along the shore of Isfjorden, Spitsbergen. There was no such observation in the previous years and after. The rubble appeared after a storm that lasted for several days and left also piles of seaweed onshore 3-4 m above the water level, revealing the wave height. Laser scanning session (in different tidal phase) was performed to estimate the size of the rubble and ice block composition. The main ice rubble had size 250x500m with the sail height of ice blocks up to 6 m above water level. Ice floes constructing the rubble were up to 0.9 m thick.
Quality
Data was obtained with Terestrial Laser Riegl VZ1000, with the next settings: Theta: 30.000..130.000 (0.020) deg Phi: 0.000..360.000 (0.020) deg Program: 950m (150kHz) [2] That gave 37 517 171Point counts. Data was processed in RiScan Pro software, filtered with Octree filters with coordinate resolution 0.01 m and 0.1 m to reduce the size and exported to Las 1.2 and ASCII formats
Conductivity-Temperature-Depth (CTD) profiles from Norwegian Polar Institute (NPI) cruise FS2021 to the Fram Strait including auxiliary sensors. Fram Strait cruises are repeated annually, and a new data set is published for each cruise.
Please refer to the FS2021 cruise report for full information. Profiles were collected with a SBE911+ CTD system deployed from research vessel Kronprins Haakon. Where the CTD was deployed through a moon pool, spurious data collected from within the moonpool shaft have been removed resulting in a lack of data in the upper 10 m. Temperature profiles were measured using dual SBE 03 temperature sensors. Conductivity profiles were measured using dual SBE 04 conductivity sensors. Salinity profiles were calculated from temperature and salinity profiles. CDOM was measured using a WETLabs CDOM fluorometer (single sensor).
Profile data is from down casts only and made available in 1 decibar bins. Spurious data collected during the surface soak were removed before binning.
Data are made available as a single, self-documented netCDF file. Profile data are organised in tables with one column per cast and one row per depth bin. 1-dimensional metadata (such as time and position) are organised as a single row with one column per cast. All variables have the same number of columns, equal to the total number of CTD casts.