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 dataset provides ice thickness calculated using deep-sounding (2 MHz antenna frequency) radar profiles over three ice rises Blåskimen Island, Kupol Ciolkovskogo and Kupol Moskovskij, Fimbul Ice Shelf, western Dronning Maud land. Ice thickness was estimated by converting the two way travel time of the radar signal from surface to the bed. The calculation takes into account the increased propagation speed in the top surface firn layer (method described in Goel et. al., 2017). The dataset also provides the bed elevation along the same profiles, obtained by subtracting ice thickness from surface elevation data.
The data are provided in MATLAB (.mat) files named:
- ‘LAT’ and ‘LON’ shows the coordinates as per WGS84 ellipsoid in decimal degrees
- ‘X’ and ‘Y’ shows the coordinates in polar stereographic projection parallel to 71°S (EPSG 3031)
- ‘IT’ and ‘BE’ shows the ice thickness and bed elevation in meters
- ‘XX’, ‘YY’, ‘TT’ and ‘BB’ are matrices with interpolated gridded x-coordinate, y-coordinate, ice thickness and bed elevation data respectively
See the following manuscript for method details: Goel, V., Brown, J., and Matsuoka, K.: Glaciological settings and recent mass balance of Blåskimen Island in Dronning Maud Land, Antarctica, The Cryosphere, 11, 2883-2896, https://doi.org/10.5194/tc-11-2883-2017, 2017.
This dataset provides static GPS measurements in a strain grid setup over Blåskimen Island, Fimbul Ice Shelf, western Dronning Maud land. The data were collected during the expeditions to the DML in years 2013 and 2014. The measurements were taken with respect to a local fixed base stations at the summit. The coordinates of the base stations were fixed using Canadian Precise Point Positioning. Rest of the data were processed differentially using GAMIT, GLOBK7TRACK software package. The data were projected to a polar stereographic projection parallel to 71°S (EPSG 3031). It is used to obtain the flow speed changes over the ice rise. It is provided in MATLAB (.mat) file format named ‘IRD_flow_speed.mat’ containing: LAT1 and LON1 shows the coordinates as per WGS84 ellipsoid in decimal degrees for the 2013 survey points whereas, LAT2 and LON2 shows the coordinates for the year 2014. Similarly X1,Y1 and X2,Y2 show the coordinates in polar stereographic for the years 2013 and 2014. U and V are the horizontal and vertical component of flow speed in ma-1 w.r.t. 2013 survey points.
See the following manuscript for further details: Goel, V., Brown, J., and Matsuoka, K.: Glaciological settings and recent mass balance of Blåskimen Island in Dronning Maud Land, Antarctica, The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-61, in review, 2017.
This dataset provides ice thickness calculated using four deep-sounding (2 MHz antenna frequency) radar profiles over Blåskimen Island ice rise, Fimbul Ice Shelf, Dronning Maud land. Ice thickness was estimated by converting the two way travel time of the radar signal from surface to the bed. The calculation takes into account the increased propagation speed in the top surface firn layer (method described in Goel et. al., 2017). The dataset also provides the bed elevation along the same profiles, obtained by subtracting ice thickness from surface elevation data. The data are provided in MATLAB (.mat) file format in a file named ‘ITdat.mat’: It includes following arrays- • ‘LAT’ and ‘LON’ shows the coordinates as per WGS84 ellipsoid in decimal degrees • ‘X’ and ‘Y’ shows the coordinates in polar stereographic projection parallel to 71°S (EPSG 3031) • ‘IT’ and ‘BE’ shows the ice thickness and bed elevation in meters • ‘TWT’ shows the actual two way travel time from surface to the bed in seconds • ‘XX’, ‘YY’, ‘TT’ and ‘BB’ are matrices with interpolated gridded x-coordinate, y-coordinate, ice thickness and bed elevation data respectively
See the following manuscript for further details: Goel, V., Brown, J., and Matsuoka, K.: Glaciological settings and recent mass balance of Blåskimen Island in Dronning Maud Land, Antarctica, The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-61, in review, 2017.
Data consists of surface mass balance (SMB) derived using stake height measurements of 90 stakes installed and successfully reoccupied over Blåskimen Island ice rise in western Dronning Maud Land. It uses firn density measured using 3 m deep firn cores at 11 sites over the ice rise to account for the spatial variation in density. The SMB represents a one year period between 2013 and 2014. The data are provided in MATLAB (.mat) file format.
IRD_smb_stake.mat includes – • ‘x’ and ‘y’ arrays with coordinates in a polar stereographic projection parallel to 71° S (EPSG 3031) •‘dh’ array with measured stake height difference over the given period •‘rho’ shows the density used in the estimate •‘smb’ the surface mass balance in kg m-2
See the following manuscript for further details: Goel, V., Brown, J., and Matsuoka, K.: Glaciological settings and recent mass balance of Blåskimen Island in Dronning Maud Land, Antarctica, The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-61, in review, 2017.
This dataset provides surface elevations of three ice rises, Blåskimen Land (IRD), Kupol Ciolkovskogo (IRB) and Kupol Moskovskij (IRC), around the Fimbul Ice Shelf, in Western Dronning Maud Land.
The digital elevation models (DEMs) were developed using kinematic GPS measurements tied to a local base station on each ice rise. The DEMs are projected to a polar stereographic projection parallel to 71°S (GOCE gravity product (http://www.opengis.net/def/crs/EPSG/0/3031)) was subtracted from the heights above the WGS84 ellipsoid.
The data are provided in MATLAB (.mat) file format. For each ice rise the files are named such as ‘IRB_DEM.mat and ‘IRB_GPS.mat’:
IRB_DEM.mat includes a struct-class variable. XX and YY show the coordinates, and ZZ shows elevations. All are in the unit of meters. IRB_GPS.mat include a struct-class variable. LAT and LON are decimal degrees, and Z is in meters. IRB_DEM.png shows the DEM in color and contours (10 m intervals) together with GPS tracks (white). It is plotted against a local coordinate, which is parallel to EPSG3031 but the origin is the summit of the ice rise.
GPS data for IRD provided here include erroneous data that show (both positive and negative) spikes in the elevations; these data are outliers from adjacent data points, and in some cases the spike height reaches 5-10 m. These spikes appear near the summit and other places. Because the number of erroneous data points is quite small, these features do not significantly affect the DEM.
See the following manuscript for further details: Goel, V., Brown, J., and Matsuoka, K.: Glaciological settings and recent mass balance of Blåskimen Island in Dronning Maud Land, Antarctica, The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-61, in review, 2017.
This dataset contains a depth profile of temperature in top 20 m of firn near the summit of Blåskimen Island, Western Dronning Maud Land. The measurements were made using a thermistor string installed into a borehole. The thermistor was left for ~25 hours in the borehole. The data are provided in MATLAB (.mat) file format named ‘IRD_borehole_temp_dat.mat’ with following arrays- • ‘depth’ array with depth data in meters • ‘time’ array with time data in minutes • ‘temp’ matrix with each column containing temperature measurements with depth at a given time in degree Celsius.
See the following manuscript for further details: Goel, V., Brown, J., and Matsuoka, K.: Glaciological settings and recent mass balance of Blåskimen Island in Dronning Maud Land, Antarctica, The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-61, in review, 2017.
Dataset provides depth averaged density obtained from 3-m-deep shallow cores, drilled over 14 sites spread across Blåskimen Island ice rise in western Dronning Maud Land. This data is used for determining the spatial variability of surface density over the ice rise. It was collected during 2014 and is provided in a MATLAB (.mat) file format.
IRD_surface_density.mat includes a struct-class variable including – • ‘lat’ and ‘lon’ arrays with latitude and longitudes in decimal degrees • ‘x’ and ‘y’ arrays with coordinates in a polar stereographic projection parallel to 71° S (EPSG 3031)., and ‘z’ shows elevations above the WGS84 ellipsoid. All are in the unit of meters. • ‘rho’ with surface density in kg m-3
See the following manuscript for further details: Goel, V., Brown, J., and Matsuoka, K.: Glaciological settings and recent mass balance of Blåskimen Island in Dronning Maud Land, Antarctica, The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-61, in review, 2017.
This dataset provides SMB estimates for Blåskimen Island ice rise, western Dronning Maud Land. It was estimated using englacial reflectors visible in radar stratigraphy, dated using 23-m deep firn core, It provides an average annual SMB for past 9 years from 2014 along the radar profiles. In this estimate, the same density-depth profile obtained using a 23 m deep firn core near the summit is used along all the profiles. For more on the method refer to Goel et al., (2017). The data are provided in MATLAB (.mat) file format named ‘IRD_smb_radar.mat’ consisting struct-class variables for each radar profile as ‘Profile_1’, Profile_2’ etc.
Profile_1 includes – • ‘x’ and ‘y’ arrays with coordinates in a polar stereographic projection parallel to 71° S (EPSG 3031), and ‘z’ shows elevations above the WGS84 ellipsoid. All are in the unit of meters. • ‘smb_const’ array with the second SMB estimate using constant density-depth profile in kg m-2 • ‘dis’ array with distance from the starting point in meters.
See the following manuscript for further details: Goel, V., Brown, J., and Matsuoka, K.: Glaciological settings and recent mass balance of Blåskimen Island in Dronning Maud Land, Antarctica, The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-61, in review, 2017.