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.
A Norwegian Ice Drift Experiment (ICEX) started in 1976 as part of a national contribution to the polar programmes under the Global Atmospheric Research Programme (GARP). The main aim of the experiment is to obtain information on an important climatic parameter: the export of ice from the Arctic Ocean through the Fram Strait. The project was reorganized in 1981, and became a joint programme between Norsk Polarinstitutt and Det norske meteorologiske institutt, also involving cooperation with the University of Washington’s Arctic Ocean Buoy Program.
An ICEX measuring capsule has been developed in cooperation with Chr. Michelsens Institutt, Bergen, (Vinje & Steinbakke 1976, Nergaard et al. 1985). The capsule operates effectively in the marginal sea ice areas where it may be subject to frequent ridging and sporadic drift in water. The buoys were deployed from a boat in a pilot project in 1975, from a Cessna 185 aircraft landing on the ice in 1976 and 1977, and they have been air-dropped by the Norwegian Air Force from 1978 onwards. Since 1981 data from the Norwegian buoys have been included in the Arctic Ocean Buoy Program data reports edited by the Polar Science Center, University of Washington.
The present data report contains drift tracks and daily values of positions, air pressure (P) mb, air temperatures (TA) about 80 cm above the ice surface, and temperatures (TB) at the bottom of the ICEX capsule. The latter information indicates if the measuring capsule is on the ice or in the water. When free floating, (TB) gives the temperature about 40 cm below the sea surface.
During the first five years of the experiment, the air pressure sensors were built at the Norwegian Meteorological Institute, based on an aneroid and a displacement transducer. Another Norwegian pressure transducer has been produced by Aanderaa Instruments. This is based on a silicon chip as sensing element. The Digiquarts pressure sensor from the US firm Paro Scientific has also been used since 1981. The sensor resolution is hetter than 0.1 mb, while the system resolution is 0.4 mb within the normal variation range of the meteorological variables. Series of comparisons in the field showed that the mean difference between the data obtained via Nimbus-6 and the readings on a test set was less than 0.1 mb (Vinje 1978). Later comparisons showed differences of about 1 mb (Vinje 1981). This was, however, well inside the FGGE requirements.
The temperature is measured with a radiation shielded termistor. Fenwal UUA 3213. The system resolution is 0.2°C. The ventilation of the sensor is dependent upon the wind speed, and the sensor signal is also dependent upon the heating of the capsule. A series of comparisons in the field showed that the temperatures were correct within ±0.1 °C during conditions with normal ventilation (Vinje 1981). A comparison on Fram Ill (Thorndike et al. 1982) during part of April 1981 indicated temperatures as much as 1 °C - 2°C too high during the warmest part of each day. Otherwise the daily cycle was well resolved and the temperature readings from the ICEX buoy agreed well with the met observer’s data.
References
Nergaard, N., Vinje, T. & Finnekåsa, Ø. 1985: Report on ice buoys in theArctic and the Antarctic. Report No. 851129-1 from Chr. Michelsens institutt, Bergen.
Thorndike, A. S., Colony, R. & Munoz, E. A. 1982: Arctic Ocean Buoy Program. Data Report 1 January 1981 - 31 December 1981 (http://iabp.apl.washington.edu/pdfs/AOBP1981Thorndike.pdf). Polar Science Center, University of Washington, Seattle.
Vinje, T. E. & Steinbakke, P. 1976: Nimbus-6 located automatic stations in the Svalbard waters in 1975. Norsk Polarinstitutt Årbok 1975 (http://hdl.handle.net/11250/172804).
Quality
The data has been extracted from the scanned PDF of the Rapport 28, where data for each buoy is printed like the example image below:
A 2800-yr-long August sea surface temperature (aSST) record based on fossil diatom assemblages is generated from a marine sediment core from the northern subpolar North Atlantic.
The record is compared with the aSST record from the Norwegian Sea to explore the variability of the aSST gradient between these areas during the late Holocene.
The aSST records demonstrate the opposite climate tendencies toward a persistent warming in the core site in the subpolar North Atlantic and cooling in the Norwegian Sea. At the multicentennial scale of aSST variability of 600-900 yr, the records are nearly in antiphase with warmer (colder) periods in the subpolar North Atlantic corresponding to the colder (warmer) periods in the Norwegian Sea. At the shorter time scale of 200-450 yr, the records display a phase-locked behavior with a tendency for the positive aSST anomalies in the Norwegian Sea to lead, by ~30 yr, the negative aSST anomalies in the subpolar North Atlantic. This apparent aSST seesaw might have an effect on two major anomalies of the European climate of the past Millennium: Medieval Warm Period (MWP) and the Little Ice Age (LIA). During the MWP warming of the sea surface in the Norwegian Sea occurred in parallel with cooling in the northern subpolar North Atlantic, whereas the opposite pattern emerged during the LIA.
The results suggest that the observed aSST seesaw between the subpolar North Atlantic and the Norwegian Sea could be a surface expression of the variability of the eastern and western branches of the Atlantic meridional overturning circulation (AMOC) with a possible amplification through atmospheric feedback.
Quality
Core Rapid 21-COM represents a composite of two individual sediment cores (Rapid 21-12B and Rapid 21-3K), which were recovered from the southern limb of the Gardar Drift, south of Iceland, during the RRS Charles Darwin cruise 159 in 2004. The age model for core Rapid 21-COM is based on 210Pb dating for the 54.3-cm-long sediment box-core Rapid 21-12B (Boessenkool et al. 2007) and on 14C dating for the 372.5-cm-long kasten core Rapid 21-3K (Boessenkool et al. 2007; Sicre et al. 2011). The previously published diatom-based aSST record from core Rapid 21–12B has 2-yr-average resolution for the last 230 years (Miettinen et al. 2011). Core Rapid 21-3K was sampled continuously at 1.0-cm intervals and analyzed at 1- to 5-cm intervals with a resolution of 8-10 yr for the interval AD 800-1770, representing the highest-resolution diatom SST reconstruction from the subpolar North Atlantic for this period, and 40 yr for interval 0-AD 800.
Composite core Rapid 21-COM: 57°27.09’N, 27°54.53’W, 2,630 m water depth
The data set contains information on weather, sea state, sea ice and icebergs recovered from the logbooks and meteorological journals of three Norwegian vessels during their five voyages to the Southern Ocean and Antarctica. The following information was recovered from the keyed and translated logbooks. Factory ship (FS) Antarctic: sea ice notes, icebergs, meteorological information, state of sea surface. FS Svend Foyn: sea ice notes, icebergs. Research vessel (RV) Norvegia: sea ice notes, icebergs; meteorological information. The observations cover the spring to early fall periods of 1929-1933. Details on data sources, methods used and basic analysis conducted on the data are found in the attached project report file.
Quality
Details on data sources, data analysis and methods are found in the attached project report file. List of files comprising the data set:
SeaIceNotes_Logbook_RV_Norvegia_1929_1930_final.xlsx Sea ice and iceberg observations from the third expedition of RV Norvegia to the SO and Antarctic.
SeaIceNotes_Weather_Logbook_FS_Antarctic_1930_final.xlsx Sea ice, icebergs and weather observations from FS Antarctic during the whaling season of 1929-1930 (only 1930 covered).
SeaIceNotes_Weather__Logbook_FS_Antarctic_1930-1931_final.xlsx Sea ice, icebergs and weather observations from FS Antarctic during the whaling season of 1930-1931.
SeaIceNotes_Meteojournal_FS_SvendFoyn1932-1933_final.xlsx Sea ice and iceberg observations from FS Svend Foyn during the whaling season of 1932-1933.
This publication presents a dataset based on keying/tabulation/quality control of weather, sea ice and whale catch data from several catch logbooks of the Norwegian whaling company Thor Dahl A/S for the period of 1932-1963. These catch logbooks were logged during the whaling season while vessel was on the hunting grounds in the Southern Ocean. The logbooks used in this dataset were originally archived in Hvalfangstmuseet (Whaling Museum) in Sandefjord, Norway, which keeps much of the archive material connected to the Norwegian historical whaling industry. Later the documents were moved to the Vestfold archive in Sandefjord. During this study 56 catch logbooks were keyed and analysed. These catch logbooks cover the whaling seasons of 1932/33 to 1962/63, during which a total catch of 12 747 Blue whales was recorded. All relevant information about the catch (species and number) with associated ship positions, dates, weather and sea ice/icebergs conditions were keyed/tabulated into Excel spreadsheet. For details on the structure of catch logbooks as well as final published data structure, please see the attached metadata file.
The data set presents keyed and translated daily meteorological observations conducted on the whaling station (land base) owned by Hektor Company at Deception Island, the South Shetland Islands archipelago, Antarctica. The original documents is a ship whale catch log (“Fangstdagbok”) that was used to record daily weather events together with the economical activity on the land base. The logbook covers the period of 01.11.1930 to 09.04.1931 and contains daily meteorological observations, such as air temperature and air pressure, wind strength and direction as well as description of specific atmospheric/precipitation events. The data set comprises two files: Deception_island_meteorological_logbook_1930_1931.docx (data set descriptor) and deception_isl_dagbok_1930_keyed_translated.xlsx (metadata and data table).
- Meiofauna_data_v2017-12-11.xlsx contains all data in separate sheets. The information here is from the “Info” tab.
- Info.csv contains the same information than listed here.
- Columns.csv: Column explanation for datasheets.
- References.csv: Reference list for the dataset.
- Original.csv: Minimally modified non-transformed original data. Used only as a reference to the original data and in quality checks.Relative Ciliata and Rotifera abundances were transformed to estimated absolute abundances (see “Columns” sheet). Some entries, taxa, and ice-cores were removed due to unclarities.
- Transformed.csv: Abundance values transformed to ind/m2 values. Ice-core sections not summed up.
- Compiled.csv: Ice-core sections summed up for each ice-core. Used in the SAMB report.
- Cut10cm.csv: Bering Sea, Barrow, and N-ICE data. Only bottom 10 cm of ice-cores are included. If all of bottom 10 cm was not available, less than that was included. Used in Fig 3, Fig 4 and Fig 6 in the Ecology & Evolution paper. Subset Sec == “bottom 10 cm” before usage for comparison purposes. Note that Fig 3 and 4 in the paper have been created after excluding all ice-core sections other than “bottom 10 cm”.
- Article.all.csv: All data (including RAW columns) for the manuscript. Note that GRAND SUM columns are derived from RAW columns (i.e. the dataset contains duplicates). Used in Table 2 in the Ecology & Evolution paper. This is the most comprehensive and checked dataset.
- Article.groups.csv: Only GRAND SUM abundance columns for the manuscript. Used in Fig 1, Fig 5 and in some statistical tests in the Ecology & Evolution paper.
- Article.per.csv: Percentage data by ice-core for GRAND SUM columns. Used in Fig 7 in the Ecology & Evolution paper.
- Wholecore.csv: Data where the entire ice-core was sufficiently sectioned to enable examining depth distribution of taxa within ice-cores. Absolute values.
- Wholecore.grp.csv: Same than “Wholecore.csv” but presents percentages for each ice-core by group. Used in Fig 2 in the Ecology & Evolution paper.
If you are in doubt which dataset to pick, use “Article_all.csv”. This is the most comprehensive, checked and least summarized dataset.
The data set presents keyed and translated from Norwegian daily observations of sea ice and icebergs conducted onboard research vessel “Norvegia” (D/S Norvegia) during its navigation around Antarctica in the austral summer of 1930-1931. The data covers the period of 20.10.1930 to 09.02.1931.
Quality
See details in the attached file “SeaIce_notes_DS_Norvegia_logbook_1930_1931.docx”
The data set contains information on weather, sea state, sea ice and icebergs recovered from the logbooks, catch books, notebooks and meteorological journals from a number of vessels during their voyages to the Southern Ocean and Antarctica. This work builds on the earlier phase of the project “Historical sea ice data from the Southern Ocean” aimed at recovering climate and sea ice data from Norwegian whaling vessels (Divine et al., 2021). The extended database comprises a collection of 27 documents of various types covering the period of 1932-1940 was keyed and translated. The documents are associated with vessels that was operated by Norwegian whaling companies or British companies with Norwegian crews. Details on data sources, methods used and basic analysis conducted on the data are found in the attached project report file. Note that this is an updated version (V2) of the dataset from November 2023. For more details on the data structure and individual files please see the attached document “Divine_et_al_AntarcticLogs_v2_updateNov2023.pdf”. Data are stored as zip archive in “Divine_et_al_Antarctic_logbooks_documents_CSV_IMMA1_compatible_format_v2_Nov2023.zip” (single file per document) and “Divine_et_al_data_publication_Antarctic_logbooks_v2_Nov2023_final.xlsx” (all data in one xlsx file)
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.
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.
The dataset contains high resolution seismic reflection profiles from the inner part of Kongsfjorden, printed on paper, with selected profiles photocopied. The profiles were taken in summer 1974 during an investigation into glacial processes and the glacial history of Svalbard by G.S.Boulton. There was no attempt to systematically cover the whole of Kongsfjorden but to establish some profiles in what were judged to be critical or representative locations. It was hoped that the profiling would provide a seismic stratigraphy.
The dataset and data collection methods are described in the attached data report. The printed profiles are in storage at the Norwegian Polar Institute (geology archive).
Quality
The profiling system was based on a multi-electrode sparker. It was an analogue system with real time display of the profiling results, and no recording of the data to enable post acquisition processing. Adjustments to get optimum quality had to be done whist operating in the field situation, sometimes a quite difficult - and frustrating - task. Recording parameters could be quite sensitive.
Ground based in situ observations of sulphur_dioxide at Bassum (DE0012R) using abs_solution. These measurements are gathered as a part of the following projects EMEP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: sulphur_dioxide in air (mass_concentration_of_sulphur_dioxide_expressed_as_sulphur_in_air)
License : EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
Institutions: RO01L, Research and Engineering Institute for Environment, Spl. Independentei 294 Sector 6, Cod. 77703, BUCURESTI 78, Romania, RO01L, Research and Engineering Institute for Environment, Spl. Independentei 294 Sector 6, Cod. 77703, BUCURESTI 78, Romania
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of NA at Rarau (RO0001R). These measurements are gathered as a part of the following projects EMEP and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: precipitation_amount in precip (lwe_thickness_of_precipitation_amount), ammonium in precip (mass_concentration_of_ammonium_in_precipitation), calcium in precip (mass_concentration_of_calcium_in_precipitation), chloride in precip (mass_concentration_of_chloride_in_precipitation), conductivity in precip (conductivity_in_precipitation), magnesium in precip (mass_concentration_of_magnesium_in_precipitation), nitrate in precip (mass_concentration_of_nitrate_in_precipitation), pH in precip (mass_concentration_of_pH_in_precipitation), potassium in precip (mass_concentration_of_potassium_in_precipitation), sodium in precip (mass_concentration_of_sodium_in_precipitation), sulphate_corrected in precip (mass_concentration_of_sulphate_corrected_for_seaspray_expressed_as_sulphur_in_precipitation), sulphate_total in precip (mass_concentration_of_sulphate_total_in_precipitation), sulphur_dioxide in air (mass_concentration_of_sulphur_dioxide_expressed_as_sulphur_in_air)
License : EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
Institutions: NO01L, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, 2007, Kjeller, Norway, NO01L, Norwegian Institute for Air Research, NILU, Atmosphere and Climate Department, Instituttveien 18, 2007, Kjeller, Norway
Last metadata update: 2021-02-11T00:00:00Z
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Abstract:
Ground based in situ observations of sulphur_dioxide at Skreådalen (NO0008R) using abs_solution. These measurements are gathered as a part of the following projects EMEP, NILU and they are stored in the EBAS database (http://ebas.nilu.no/). Parameters measured are: sulphur_dioxide in air (mass_concentration_of_sulphur_dioxide_expressed_as_sulphur_in_air)
License : EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy)., NILU: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).