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 Hive Wireless sensor network project designed and assembled automatic weather stations that are currently installed at Kongsvegen glacier in Svalbard and records near surface meteorological variables: air temperature, relative humidity, air pressure, snow height, wind, surface skin temperature... The HiveWSN kit consists of: 1) a brain box containing the power system, the microcontroller, the communication system and the connectivity to the sensors, 2) A set of sensors either commercially available or custom built at the Department of Geosciences at UiO as part of the UiO Hive project. The kit is autonomous and packaged as a beam that can be installed on simple mast. Currently, there are two versions of the WSN system: v1 from 2019, and v2 from 2021. Both are based on the board Wasmpote v15 which handle power, communication, and data brokerage. The firmware running all instances has been written as part of the project UiO Hive, and include a set of tools described on the HiveWSN project website: https://www.mn.uio.no/geo/english/research/projects/hive. Important note: the height of the sensor to the snow/ice surface is not corrected for variations in surface deposition or melt over time. The sensor box is fixed to a stake drilled into the snow/ice.
The Hive Wireless sensor network project designed and assembled automatic weather stations that are currently installed at Kongsvegen glacier in Svalbard and records near surface meteorological variables: air temperature, relative humidity, air pressure, snow height, wind, surface skin temperature... The HiveWSN kit consists of: 1) a brain box containing the power system, the microcontroller, the communication system and the connectivity to the sensors, 2) A set of sensors either commercially available or custom built at the Department of Geosciences at UiO as part of the UiO Hive project. The kit is autonomous and packaged as a beam that can be installed on simple mast. Currently, there are two versions of the WSN system: v1 from 2019, and v2 from 2021. Both are based on the board Wasmpote v15 which handle power, communication, and data brokerage. The firmware running all instances has been written as part of the project UiO Hive, and include a set of tools described on the HiveWSN project website: https://www.mn.uio.no/geo/english/research/projects/hive. Important note: the height of the sensor to the snow/ice surface is not corrected for variations in surface deposition or melt over time. The sensor box is fixed to a stake drilled into the snow/ice.
The Hive Wireless sensor network project designed and assembled automatic weather stations that are currently installed at Kongsvegen glacier in Svalbard and records near surface meteorological variables: air temperature, relative humidity, air pressure, snow height, wind, surface skin temperature... The HiveWSN kit consists of: 1) a brain box containing the power system, the microcontroller, the communication system and the connectivity to the sensors, 2) A set of sensors either commercially available or custom built at the Department of Geosciences at UiO as part of the UiO Hive project. The kit is autonomous and packaged as a beam that can be installed on simple mast. Currently, there are two versions of the WSN system: v1 from 2019, and v2 from 2021. Both are based on the board Wasmpote v15 which handle power, communication, and data brokerage. The firmware running all instances has been written as part of the project UiO Hive, and include a set of tools described on the HiveWSN project website: https://www.mn.uio.no/geo/english/research/projects/hive. Important note: the height of the sensor to the snow/ice surface is not corrected for variations in surface deposition or melt over time. The sensor box is fixed to a stake drilled into the snow/ice.
The Hive Wireless sensor network project designed and assembled automatic weather stations that are currently installed at Kongsvegen glacier in Svalbard and records near surface meteorological variables: air temperature, relative humidity, air pressure, snow height, wind, surface skin temperature... The HiveWSN kit consists of: 1) a brain box containing the power system, the microcontroller, the communication system and the connectivity to the sensors, 2) A set of sensors either commercially available or custom built at the Department of Geosciences at UiO as part of the UiO Hive project. The kit is autonomous and packaged as a beam that can be installed on simple mast. Currently, there are two versions of the WSN system: v1 from 2019, and v2 from 2021. Both are based on the board Wasmpote v15 which handle power, communication, and data brokerage. The firmware running all instances has been written as part of the project UiO Hive, and include a set of tools described on the HiveWSN project website: https://www.mn.uio.no/geo/english/research/projects/hive. Important note: the height of the sensor to the snow/ice surface is not corrected for variations in surface deposition or melt over time. The sensor box is fixed to a stake drilled into the snow/ice.
The Hive Wireless sensor network project designed and assembled automatic weather stations that are currently installed at Kongsvegen glacier in Svalbard and records near surface meteorological variables: air temperature, relative humidity, air pressure, snow height, wind, surface skin temperature... The HiveWSN kit consists of: 1) a brain box containing the power system, the microcontroller, the communication system and the connectivity to the sensors, 2) A set of sensors either commercially available or custom built at the Department of Geosciences at UiO as part of the UiO Hive project. The kit is autonomous and packaged as a beam that can be installed on simple mast. Currently, there are two versions of the WSN system: v1 from 2019, and v2 from 2021. Both are based on the board Wasmpote v15 which handle power, communication, and data brokerage. The firmware running all instances has been written as part of the project UiO Hive, and include a set of tools described on the HiveWSN project website: https://www.mn.uio.no/geo/english/research/projects/hive. Important note: the height of the sensor to the snow/ice surface is not corrected for variations in surface deposition or melt over time. The sensor box is fixed to a stake drilled into the snow/ice.
Ambient sound was measured in Storfjorden, Svalbard at frequencies from 30 to 24000 Hz at a depth of around 20 meters. The measurements were carried out in open sea at depths of about 100 metres or more. The measurements were carried out using a drifting small boat, where the engine was turned off. Thereafter, a second small boat was used for transmitting pings at 11 kHz towards the first small boat at different depths and ranges. The experiment was carried out in June 2020 by Master students under supervision, as part of a research school in the Barents Sea with K/V Svalbard, organized under the UAK project lead by the Nansen Environmental and Remote Sensing Centre.
XBT profiles of temperature, pressure and sound speed in the Fram Strait from KV Svalbard in September 2012.
There are a total of 7 profiles and 11365 observations.
The XBT probe T5 was used, see http://www.sippican.com/contentmgr/showdetails.php/id/312 for more info on the probe.
The Nansen Legacy cruise Q2 (Q2: 2nd quarter of the year) was part of the seasonal investigation of the northern Barents Sea and adjacent Arctic Basin. The cruise was conducted during the spring period a biologically critical time window when a large part of the annual primary production occurs and focused on comparing the physical, chemical and biological conditions along the Nansen Legacy main transect in open waters and within the sea ice. The cruise addressed objectives of the work packages Physical drivers (Research Focus 1), Human impact (Research Focus 2), The living Barents Sea (Research Focus 3) and Technology and method development (Research Activity C). These data are created from the CTD data published by NMDC for the whole cruise (https://doi.org/10.21335/NMDC-515075317). The values have not be changed.
This dataset is a collection of the acid-corrected chlorophyll A and phaeopigments measurements taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2021 Joint Cruise 2-1' cruise. The data are from under ice water from an ice station at P6 (NLEG21/NPAL15) Ice taken on 2021-07-22T06:15:51.936Z at 30.8165464°E and 81.5255066166667°N. Both total Chlorophyll A and collected after passing through a 10µm filter are enclosed if available.
The file contains temperature, practical salinity and depth measurements binned into 1 db pressure bins. The raw data was measured at 78.3915 N, 16.945333333333334 E at 04.11.2022, 13:18 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.
The file contains temperature, practical salinity and depth measurements binned into 1 db pressure bins. The raw data was measured at 78.35416666666667 N, 16.821666666666665 E at 04.11.2022, 18:11 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.
The Joint Cruise 2-1 addressed objectives of the work packages Physical drivers (Research Foci 1), Human impact (Research Foci 2) and The living Barents Sea (Research Foci 3) along the Nansen Legacy transect in open water and within the sea ice. The cruise focussed on comparing the state of the physical, chemical and biological conditions in the southern and northern parts of the study area. These data are created from the CTD data published by NMDC for the whole cruise (https://doi.org/10.21335/NMDC-2085836005). The values have not be changed.
The Winter Process Cruise aboard RV Kronprins Haakon conducted dedicated observations on processes that control the position and variability of the Polar Front in the northern Barents Sea and the distribution of Arctic and Atlantic water masses. The cruise addressed objectives of the work packages Physical drivers (Research Focus 1) and Technology and method development (Research Activity C). These data are created from the CTD data published by NMDC for the whole cruise (https://doi.org/10.21335/NMDC-814367946). The values have not be changed.
It is data from Sailbuoy "Ocean Acidification Vehicle" (OAV) a.k.a. SB Iskant. A new sensor package developed by Aanderaa Data Instruments was used to measure temperature, conductivity, pH, partial pressure of carbon dioxide (pCO2), and dissolved oxygen (O2). Most of the sensors were housed in a bulb on the keel of the SailBuoy together with a UV-antifouling device. Data were recorded in the Fram Strait every 10 min. from 30 June 2016 to 18 July 2016.
The Nansen Legacy JC3 cruise (19.02.-11.03.2022) aimed to fill gaps after the earlier NL cruises, in particular during the winter-to-spring transition and in the northern part of the NL transect to the Nansen Basin. Joint physical, chemical, and biological sampling and experiments for new technology addressed aims of RF1, RF2, RF3 and RA-C. Sampling started in the Atlantic domain with a process station at P1. Afterwards, the cruise focused on the northern Barents Sea around and north of Kvit?ya covering process stations at P5, P7 and between Nord Austlandet and Kvit?ya. They lasted from 29 to 68 hours to enable observation of at least one daily cycle in the under-ice water layer. Ice conditions varied but consisted mostly of extensive but thin first-year ice, often as small floes that were frozen together. In the northernmost region, the floes were larger, but the ice remained thin. Despite a fair amount of daylight available, the biological sampling seemed to indicate that the ecosystem was still in winter mode. In addition to the process stations, the northern part of the NL transect was covered from the shelf north of Kvit?ya into the deeper Nansen Basin. This included mainly hydrographic measurements and chemical sampling along the entire transect, biological sampling at P6, and benthic sampling at selected depths from shelf over slope to deep. In the entire region, warm Atlantic water was prominent and close to the surface, potentially explaining the lack of thick sea ice and late ice formation. Before and after the main cruise program, several gliders were recovered. One mooring was pinged but could not be located. These data are created from the CTD data published by NMDC for the whole cruise (https://doi.org/10.21335/NMDC-675177809). The values have not be changed.