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.
This data set represents a typical single iceberg capsize experiment. Included in this data set are all the parameters of the plastic iceberg's density and dimensions, the density of the water surrounding the iceberg, and the value of gravitational acceleration. The timeseries data consists of all the kinematic and energetic variables as a function of time for the iceberg capsize experiment.
This data set is a low-resolution set of measurements of d15N of N2 and d18O of O2, along with dO2/N and dAr/N2 supporting data, in the WAIS Divide 3405 m long ice core recovered in 2011. Data are distributed via FTP.
This data set addresses why surface melt water lakes on ice shelves and ice sheets are notably influential in triggering ice-shelf break-up and modulating seasonal ice flow, and are thus principle avenues by which environmental change can be transmitted to the ice sheets of Antarctica and Greenland. A comparative analysis is performed of lake geometry and derived depth (using Landsat image reflectance) in two distinct regions, one a collapsing ice shelf and the other an ablation zone of a land terminating ice sheet, to better characterize the range of surface lake variability.
This data set contains major ion concentrations from the chemical analysis of two WAIS Divide ice cores (WDC05Q, 0-114 m; WDC06A, 0-129 m). The analytical technique is Mettler-based Continuous Flow Analysis with online Ion Chromatography detection (CFA-IC). Depth resolution is approximately 2 cm per sample or per measurement.
A 180 m ice core drilled at South Pole in 2004/2005 was analyzed for concentrations of major ions at a depth resolution of approximately 2 cm. Measured ions are chloride, nitrate, sulfate, sodium, potassium, magnesium and calcium. The bottom of the core has been dated to 1830 years before 2004.
This data set includes stable water isotope values at 10 m resolution along an approximately 5 km transect through the main icefield of the Allan Hills Blue Ice Area, and at 15 cm within a 225 m core drilled at the midpoint of the transect.
This data set consists of water isotope ratios from the Mt. Moulton ice-trench record, as well as data from the Taylor Dome, EPICA Dome C, Talos Dome, Vostok, and EPICA Dronning Maud Land ice cores.
This data set provides a new CO2 record from the Siple Dome ice core, Antarctica, that covers 7.4-9.0 ka (thousand years) with 8- to 16-year resolution. A small, about 1-2 ppm, increase of atmospheric CO2 during the 8.2 ka event was observed. The increase is not significant when compared to other centennial variations in the Holocene that are not linked to large temperature changes. The results do not agree with leaf stomata records that suggest a CO2 decrease of up to ~25 ppm and imply that the sensitivity of atmospheric CO2 to the primarily northern hemisphere cooling of the 8.2 ka event was limited.
This data set consists of outputs of several numerical models simulating ice stream flow over undulated bed, interaction of ice stream flow, and subglacial and supraglacial hydraulic systems. All simulations are performed for idealized geometries using finite-element models.
This data set includes raw dust microparticle data for the WAIS Divide deep core, WDC06A, from the surface to 577 m. Data were collected in 2010 using a Klotz Abakus laser particle counter connected to a continuous ice core melter system at the University of Maine (Breton et al., 2012).