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: The University Centre in Svalbard, The University Centre in Svalbard, The University Centre in Svalbard, Norwegain Infrastructure for Research Data (NIRD)
A set of auroral all-sky images captured over Svalbard in 2019-2020. Images contain auroral emission and have been automatically classified for auroral morphology. Morphological classes are included.
The high Arctic Bayleva site is located on western Spitsbergen about 3 km from the settlement
of Ny Ålesund. The provided data set comprises snow water equivalent (SWE) and snow depth
measurements recorded by automated sensors installed in August 2019 close to the Bayelva
soil and climate station, running since 1998. The SWE is recorded using a Campbell Scientific
CS725 gamma ray sensor covering a footprint area of up to 55 m2. The snow depth is measured
using a Campbell Scientific SR50/AT ultrasonic distance sensor covering a footprint area of up
to 1.3 m2 close to the center of the SWE footprint. The provided data set furthermore includes
snow temperature measurements from two PT100 sensors installed at 0.04 and 0.2 m above
the ground within the fenced area of the nearby climate monitoring station. Additionally,
measurements of the snow dielectric constant are provided from a vertically installed TDR
probe inside the fenced area. Moreover the data set includes sporadic manual records of SWE
and snow depth, performed to validate the automated measurements.
Institutions: Nicolaus Copernicus University in Torun
Last metadata update: 2022-04-29T13:30:00Z
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Abstract:
Glacier mass balance data for Waldemarbreen (sonce 1996), Irenebreen (since 2002) and Elisebreen (2007-2013). The mass balance of Kaffiøyra region glaciers is very negative. Similarly negative mass balance values are characteristic of other Svalbard glaciers. The rapid and substantial changes in mass balance of glaciers which have been occurring in recent years are also reflected in a growing rate of surface area shrinkage. This negative balance is mainly attributed to the climate change in that region, and with an increase in mean air temperature in particular.
Field measurements of aerosol vertical distribution carried out in Hornsund area, during the 2021 spring fieldwork. Data obtained using PMS7003 particle concentration sensor, capable of detecting aerosol particles with a size beyond 0.3 micrometer.
Snow depth, snow water equivalent and basal ice thickness measurements were taken during the SIOS SnowPilot campaign in Spring 2022. Snowpits were dug on GPR profile crossings in the Fuglebekken and Revdalen catchments in the Hornsund fiord, Spitsbergen catchment. Snow density was measured with an IG PAS snow tube, and snow depth and basal ice (ice forming on the ground surface) thickness were measured with an avalanche probe.
The ACS_Bayelva_class dataset contains 302 high-resolution binary snow cover images that were obtained by classifying orthrorectified photographs of a 1.77 km^2 area of interest in the Bayelva catchment. This catchment is close to Ny-Ålesund, the northernmost permanent civilian settlement in the world and a major hub for polar research, in the Norwegian high-Arctic Svalbard archipelago. The imagery has a (roughly) daily temporal resolution and a ground sampling distance (pixel spacing) of 0.5 m. The dataset spans 6 snowmelt seasons, covering the months May-August for the period 2012-2017. The orthophotos were obtained by processing oblique time-lapse photographs taken by a terrestiral automatic camera system (ACS) mounted at 562 m a.s.l. near the summit of Scheteligfjellet (719 m a.s.l.) a few kilometers west of Ny-Ålesund. The orthophotos were manually classified into binary snow cover images (0=no snow, 1=snow) by iteratively selecting a (visually) optimal threshold on the intensity in the blue band for each image. More details are provided in the study of Aalstad et al. (2020) [a copy is available in this repository] where this dataset was created. The ACS was maintained by scientists from the group of Sebastian Westermann at the Section for Physical Geography and Hydrology in the Department of Geosciences at the University of Oslo, Oslo, Norway.
Aerosol size distribution measurements at the Polish Polar Station Hornsund, during the 2021 spring fieldwork (25.04-15.05). Data obtained by TSI particle spectrometer: NanoScan SMPS Nanoparticle Sizer 3910. Measurements carried out in specially prepared container (‘environmental house’) in the Fuglebekken catchment, located approximately in 500 m distance from the main base building. Data gaps occur due to repeated device failure.
Field measurements of aerosol vertical distribution carried out in Hornsund area, during the 2021 spring fieldwork. Data obtained using TSI P-Trak ultrafine particle counter 8525, capable of detecting aerosol particles with a size of 0.02 to 1 micrometer.
Aerosol size distribution measurements at the Polish Polar Station Hornsund, during the 2021 spring fieldwork (25.04-15.05). Data obtained by PMS7003 particle concentration sensor. The device was installed in a fixed position on the roof of a specially prepared container (‘environmental house’) in the Fuglebekken catchment, located approximately in 500 m distance from the main base building.
Aerosol size distribution measurements at the Polish Polar Station Hornsund, during the 2021 spring fieldwork (25.04-15.05). Data obtained by TSI particle spectrometer: Optical Particle Sizer (OPS) Model 3330. Measurements carried out in specially prepared container (‘environmental house’) in the Fuglebekken catchment, located approximately in 500 m distance from the main base building.
This Level-1B (L1B) product provides calibrated estimates of time-ordered geolocated brightness temperatures measured by the Soil Moisture Active Passive (SMAP) passive microwave radiometer. SMAP L-band brightness temperatures are referenced to the Earth's surface with undesired and erroneous radiometric sources removed.
This data set is a collection of airborne, in-flight meteorological and in-cabin measurements, as well as thermal emission measurements of near-nadir surface skin temperature, collected by the National Suborbital Education and Research Center (NSERC). Instruments flown over Antarctica include a cabin pressure transducer, a 2-stage and a 3-stage hygrometer, a total air temperature sensor, and an infrared surface temperature pyrometer. The data files contain measurements for 36 meteorological, surface characteristic, and positional variables. The data were collected as part of Operation IceBridge funded campaigns.
This data set includes in situ vegetation data collected during the Cloud and Land Surface Interaction Campaign 2007 (CLASIC07) campaign. Sampling was designed to coincide with satellite overpasses, such as Landsat's Thematic Mapper (TM) 5 and the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor on NASA's Terra satellite (MODIS/Terra), which can be then used to estimate vegetation water content on the regional scale.
This data set contains ice penetrating radar data from the US-International Trans-Antarctic Science Expedition (ITASE) Traverse, from Taylor Dome to South Pole recorded by the St. Olaf College deep radar system. Parameters include latitude, longitude, distance along profile (m), ice thickness pick (m), surface elevation (m), and bed echo power (relative units) from the approximately 1800 km traverse recorded during the 2006-2007 and 2007-2008 Antarctic field seasons (austral summer). The traverse has been broken into three segments, which are shown on three maps provided with the data. A sample radar profile covering approximately 120 km of the traverse near Titan Dome is also provided.
Data are available via FTP as ASCII text files (.txt). Profile location maps and sample profile sections are available as Joint Photographic Experts Group (.jpg) image files.