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.
Institutions: UNIS The University Centre in Svalbard, Norwegian Meteorological Institute / Arctic Data Centre, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2022-11-15T12:48:12Z
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Abstract:
The mooring F0 was in operation at 78.833 deg N in the Fram Strait between 2007-09-11 and 2009-09-11, measuring current and hydrographic properties at the shelf break (224 m water depth). The mooring was retrieved and redeployed between 2008-09-11 and 2008-09-14. The child datasets represents different instrumentation at different levels in the mooring.
Institutions: IMR Institute of Marine Research, Norwegian Meteorological Institute / Arctic Data Centre, Norwegian Meteorological Institute / Arctic Data Centre, IMR Institute of Marine Research
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.
Institutions: Norwegian Meteorological Institute / Arctic Data Centre, AWI Alfred Wegener Institute for Polar and Marine Research, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2022-11-15T12:45:37Z
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Abstract:
The ARKXXIV/1 cruise of the German icebreaker Polarstern took place from 20 June to 10 July 2009 and was focused on oceanographic investigations in the northern Nordic Sea. The main work sites were Fram Strait between Svalbard and Greenland and in the Greenland Sea. Hydrographic mesurements during the cruise included the standard section in the nothern Fram Strait along 78°50N, which has been occupied regularly since 1997 (27 stations)
Institutions: Norwegian Meteorological Institute / Arctic Data Centre, AWI Alfred Wegener Institute for Polar and Marine Research, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2022-11-15T12:45:37Z
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Abstract:
This data was collected as part of an international joint effort during IPY to conduct a quasi-synotpic Pan-Arctic survey. During this cruise (ARK-XXIII/3), the work of the previous year (ARK-XXII/2) was extended toward the East-Siberian regions with a CTD transect in the southern parts of the basins from the Canadian Basin to the Nansen-Gakkel Ridge
Institutions: Norwegian Meteorological Institute / Arctic Data Centre, AWI Alfred Wegener Institute for Polar and Marine Research, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2022-11-15T12:45:37Z
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Abstract:
CTD temperature, salinity, dissolved oxygen and light transmission at 191 stations in the Arctic Ocean
This dataset includes Geophysical Institute (GFI), University of Bergen mooring SVI201002_A data. The mooring consists of 3 inst. (instrument type:instrument number(instrument depth)):RCM7:8441(100m) RCM7:11630(300m) RCM7:10909(480m) . Metadata and raw/processed time series are presented as NetCDF, text and pdf(plots with statistics, calibration sheets, mooring drawing) files.
Ocean microstructure data were collected using a turbulence package mounted on a
light autonomous underwater vehicle (LAUV) during a cruise in February 2021,
to study ocean mixing processes near a surface temperature front in the Barents Sea.
The cruise onboard R/V Kronprins Haakon (KH2021702) was part of the Nansen Legacy
project, funded by the Research Council of Norway.
Turbulence data were collected using a modified version of a Rockland Scientific MicroRider
mounted on the LAUV. Dissipation rate was measured using two airfoil shear probes.
The measurements are from a 5 hour mission from 3 horizontal transects at target
depths of 10, 20 and 30 m.
The dataset is processed and prepared following the SCOR Working Group ATOMIX guidelines
and recommendations. The provided file includes four levels: the continuous time series of
full resolution data converted into physical units; the cleaned time series used for spectral
analysis, wavenumber spectra and the dissipation rate estimates. Additional data from the
LAUV with flight kinematics, location, temperature and salinity are also included.
Further details are provided in the comments.
The index of temperature and salinity is calculated by averaging the values over an area within the routinely monitored hydrographical fixed section. The data are from cruises in: January, March, April/ May/June, August/September, October.
This dataset includes Geophysical Institute (GFI), University of Bergen mooring SV_200303_A data. The mooring consists of 2 inst. (instrument type:instrument number(instrument depth)):RCM7:6196(23m) RCM7:8003(56m) . Metadata and raw/processed time series are presented as NetCDF, text and pdf(plots with statistics, calibration sheets, mooring drawing) files.
Time series of inorganic carbon (DIC), alkalinity (TA), and hydrography from the fixed station Ocean Weather Station M (OWSM) in the Norwegian Sea at 66 degree N 2 degree E. Measurements collected over the full water depth of 0-2000 m. These data are from 2022 and 2023 and represent a continuation of the timeseries of carbon which started in 2001. Monthly sampling frequency between 2001 and 2009 and seasonal resolution from 2010 and onwards. Data from 2001 to 2009 were collected by the weathership Polarfront, and from 2010 and onwards, various research vessels collected samples from the station. DIC and TA data are from discrete bottle samples while hydrography are measured using sensors. The timeseries at OWSM started in 1948 with daily hydrography masurements over the full water depth.
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.
The file contains temperature, practical salinity and depth measurements binned into 1 db pressure bins. The raw data was measured at 78.42366666666666 N, 17.224333333333334 E at 04.11.2022, 09:59 UTC using a Seabird SBE9plus CTD and post-processed with the Seasoft software package. The following processing steps were applied (with default settings): 1. Data Conversion, 2. Wild Edit, 3. Align CTD, 4. Cell Thermal Mass, 5. Filter, 6. Bin Average. If not specified differently, the downcast of the profile was used.