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.
Offline-kart over Jan Mayen tilsvarende zoomnivået for 1:40 000 i cachetjenesten NP_Basiskart_JanMayen_WMTS_25829 / Offline map of Jan Mayen equivalent to the zoom level for 1:40 000 in the cache service NP_Basiskart_JanMayen_WMTS_25829
Kartet er i GeoTIFF-filformatet, og egnet for bruk i GIS og kart-apper for Android og iOS, f.eks. GeoViewer. Filstørrelse ca. 13MB. / The map is in GeoTIFF file format, and suited for use in GIS and map apps for Android and iOS, e.g. GeoViewer. File size approx. 13MB.
The mass balance of a glacier is the difference between accumulation in winter and ablation in summer, and is thus a measure of whether the glacier as a whole is increasing or shrinking. It is interesting to monitor mass balance because melting of glaciers can contribute to sea-level rise. Glaciers also influence the local climate and the conditions for fauna and flora in Svalbard. The mass balance is primarily dependent upon the precipitation in winter and the temperature in summer. The height above the sea is also important.
The monitoring of the mass balance of four glaciers and glacier complexes is reported here: Austre Brøggerbreen (since 1967), Midtre Lovénbreen (since 1968), Kongsvegen (since 1987) and Kronebreen/Holtedalsfonna (since 2002). All these glaciers are located near Ny-Ålesund on Vest-Spitsbergen.
3 MHz Deep Radar Measurements along the route of the Norwegian – U.S. Scientific Traverse of East Antarctica 2008-2009. The primary goal of the deep radar was to measure ice thickness along the traverse route. In conjunction with surface elevation, the data also gives topography at the base of the ice sheet. Other useful aspects of the data are the clear internal layers and the ability to assess the presence or absence of water at the base of the ice sheet.
Route
- From: South pole [-90, 0]
- Across: Recovery lakes region
- To: Troll station [-72.01, 2.53]
Instruments
The pulse was generated by a Kentech GPR pulser emitting +/- 2kV at a PRF of 500-1000 Hz. At the receive end the signal was fed through a minicircuits RF Transformer 9:1 (16:1 was also tried), followed by an amplifier and into a picoscope dual channel digital oscilloscope. The oscilloscope was connected to a CF19 Panasonic toughbook for real time data viewing and data storage. Gecko, a program written and compiled by Rickard Pettersson was used to digitize, display and store the data. A Garmin handheld GPS was connected to the pc and gave position information for each trace. 12V, 55Ah gel cell batteries provided power to both the receive and the transmit electronics.
Det er 6 arealplanområder på Svalbard vedtatt i forskrift 2002-06-28 nr 650: Forskrift om konsekvensutredninger og avgrensing av arealplanområdene på Svalbard (https://lovdata.no/dokument/SF/forskrift/2002-06-28-650). Innafor arealplanområdene kan planansvarlig utarbeide arealplaner etter kapittel VI i Svalbardmiljøloven.
Arealplaner på Svalbard følger et forenklet system i forhold til arealplaner etter Plan- og bygningsloven. Det er kun et plannivå og det plansystemet er i seg selv enklere oppbygd.Det er kun innafor arealplanområdene det kan utarbeides arealplaner. Arealplanområdene er fastsatt i forskrift om konsekvensutredninger og arealplanområder på Svalbard.I Longyearbyen arealplanområde er Longyearbyen lokalstyre planmyndighet. I de andre arealplanområdene er Sysselmesteren planmyndighet, men den aktuelle aktøren er planansvarlig.
- Ny-Ålesund arealplanområde: Kings Bay as er planansvarlig.
- Sveagruva arealplanområde: Store norske Spitsbergen Grubekompani AS er planansvarlig.
- Barentsburg arealplanområde: Trust Arkticugol er planansvarlig.
- Coles bay arealplanområde: Trust Arkticugol er planansvarlig.
- Pyramiden arealplanområde: Trust Arkticugol er planansvarlig.
Alle arealplanområdene på Svalbard har gyldige arealplaner. I en del av områdene er det i tilleg utarbeidet en rekke delplaner.
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.
The archipelago of Svalbard presently contains approximately 33,200 km2 of glaciers, with a large number of small valley glaciers as well as large areas of contiguous ice fields and ice caps. While a first glacier inventory was compiled in 1993, there has not been a readily available digital version. Here we present a new digital glacier database, which will be available through the GLIMS project. Glacier outlines have been created for the years 1936, 1966-71, 1990, and 2001-2010. For most glaciers, outlines are available from more than one of these years. A complete coverage of Svalbard is available for the 2001-2010 dataset. Glacier outlines were created using cartographic data from the original Norwegian Polar Institute topographic map series of Svalbard as basis by delineating individual glaciers and ice streams, assigning unique identification codes relating to the hydrological watersheds, digitizing center-lines, and providing a number of attributes for each glacier mask. The 2001-2010 glacier outlines are derived from orthorectified satellite images acquired from the SPOT-5 and ASTER satellite sensors. In areas where coverage for all time periods is available, the overwhelming majority of glaciers are observed to be in sustained retreat over the period from 1936-2010.
This study was conducted in a collaboration between the Department of Geoscience, University of Oslo, and the Norwegian Polar Institute, it was supported by the European Space Agency (ESA) through the projects Glaciers_CCI (4000101778/10/I-AM) and Cryoclim, which is also supported by the Norwegian Space Centre.
A 20m DEM mosaic in UTM33 projection with newest NPI products and filtered ASTER GDEM elsewhere (South Spitsbergen and NW tip of Spitsbergen). Time span is mostly 2008-2012 for elevations, and the extent has been cut to the coastline of 2015.
Marine geological sampling points with with associated information on shell sand content (must be over 50%) and shell sand class in the upper part (about 0-40cm) of seabed. Samples are obtained with grab or box corer and geological descriptions are based on visual observations of sediments.
The data table includes information about sampling, depth, geology and biology.
MAREANO, GEOS Oslofjorden, Marine grunnkart i Astafjord, fase III, ICZPM – AquaReg pilotprosjekt, Marine grunnkart i Sør Sunnmøre, Marine Grunnkart i Sore Sunnmore, Kartlegging av Saltstraumen marine verneomtåde, Frisk Oslofjord (MAREANO, GEOS Oslofjorden, AstafjordIII, AQUAREG, MGG, MG Sore Sunnmore, Saltstraumen MVO, Frisk Oslofjord)
Last metadata update: 2010-04-07T12:00:00Z
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Abstract:
Anchoring and mooring conditions in some coastal areas with detailed data coverage, as interpreted from bottom type (hard or soft bottom) and depth. It is distinguished between anchoring and mooring conditions. In this context mooring means the possibility for divers to mount bolts into exposed bedrock (to fasten marine installations), usually at depths less than 30m. Anchoring conditions mean the anticipated relative hold of anchors in the substrate.
Marine Light-Mixed Layer Experiment 89, MAREANO, Marine grunnkart i Sør Sunnmøre, Marine Grunnkart i fem kommuner i Oforten (MLML89, MAREANO, MGG, MG Ofoten)
Last metadata update: 2010-04-06T12:00:00Z
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Abstract:
The map service shows the distribution of sediments, classified by grain size and genesis; Included in the service are layers og sediment thickness and sedimentation environment. Bacscatter data from multibeam echsounder measurements provides information about the relative harness of the bottom (hard or soft bottom).
MAREANO, Marine grunnkart i Astafjord, fase III, Marine grunnkart i Sør Sunnmøre, Marine Grunnkart i fem kommuner i Oforten (MAREANO, AstafjordIII, MGG, MG Ofoten)
Last metadata update: 2010-04-07T12:00:00Z
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Abstract:
The map service shows levels of heavy metals and other inorganic environmental indicators in surface sediments in Norwegian fjords and on the Norwegian continental shelf.
Probable occurrences of coral reefs on Norwegian Continental Shelf, where the attributes 'palitelighet' and 'code' indicate whether automatic classification of the occurrence has high or low confidence.
This dataset is one of four datasets created by the automatic classification of detailed bathymetry data.
This dataset shows the distribution og the Quaternary sediments on the seabed. Based on analog reflection seismic data, seabed sampling and digital data from modern mapping with reflection seismic and multibeam sonar, the interpretation is made to describe the genesis of the submarine deposits. The dataset covers areas of the Norwegian continental shelf and Skagerrak.
The Nansen Legacy cruise Q1 was part of the seasonal investigation of the northern Barents Sea and adjacent Arctic Basin. The cruise was conducted in 2-24 March 2021 onboard R/V Kronprins Haakon, and focused on studying the physical, chemical and biological conditions along the Nansen Legacy main transect in open waters and within the sea ice. While in sea ice we conducted ten regional scale sea ice helicopter-borne surveys of ice conditions along the Nansen Legacy transect using a helicopter-borne electromagnetic instrument (HEM) EM-bird. This dataset presents processed EM-bird data on total snow and sea-ice thickness along the flight tracks.
This is a contribution to the Research Council of Norway project “Nansen Legacy” (https://arvenetternansen.com/), WP RF-1 “Physical drivers”.
Quality
See the attached docuement “AeN_Q1_202103_HEM_icethickness_metadata_v1.0.pdf” for details on the data acqusition, processing and structure.
Institutions: British Antarctic Survey, British Antarctic Survey, British Antarctic Survey
Last metadata update: 2016-12-06T00:00:00Z
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Abstract:
Digital seismic reflection data collected during the RABID project in the 2004-2005 field season, using a BISON 9024 seismograph. The seismic survey was carried out ~40km upstream from the grounding line of Rutford Ice Stream, and repeated relevant sections of a 1991 and 1997 survey. Data was collected using 24 channels arranged at 10m spacing. The survey geometry produced four single fold lines with 5 m reflection-point spacing at the bed. The first seismic line (Tyree04 Line) was orientated across the ice stream, the other three (Mogensen Line, Tolly Line and Rabid Line) were in line with the ice flow and intersected the first line at different locations.
The RABID project employed hot-water drilling techniques, down-hole instrumentation, as well as surface geophysical measurements, to form an integrated programme studying ice dynamics, basal conditions, climate and glacial history.
Funding was provided by the UK NERC Antarctic Funding Initiative (AFI).