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 and phrases embedded in quotation marks. Logical operators include AND, OR and NOT. Remember to add space around operators. Text strings that are not quoted are trated as separate words and will match any of the words (i.e. assuming the OR operator). E.g. in order to find WMO synoptic weather station data from Verlegenhuken use the search phrase: [synop AND verlegenhuken]. 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.
Collections
Collections allows the user to search in subsets of the existing catalogue. The collections are primarily data management projects that have been incorporated in the ADC catalogue after the project has ended. In this context the ADC is the long term access solution for these data. The collections currently served through ADC include (datasets may belong to multiple data collections):
ADC is the full collection of this service CC is the CryoClim collection
In order to search a specific data collection select that collection. If no data collection is selected all collections are searched.
AeN are data related to the Nansen Legacy project and are better explored through the SIOS Data Access Point using the collection defined there which is available through this URL.
SIOS, InfraNOR, SIOSCD, SIOSAP, SESS_* are collections related to SIOS. These are better explored through the SIOS Data Access Portal
Some cleaning is pending between InfraNOR and SIOSIN, for some of the SESS collections.
Citation of data and service
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)
The information required to properly cite a dataset is normally provided in the discovery metadata the datasets.
If you use data retrieved through this portal, please acknowledge the Norwegian Meteorological Institute/Arctic Data Centre.
As part of the "KROP - Kongsfjorden Rijpfjorden Observatory Programme" UiT The Arctic University of Norway and The Scottish Association for Marine Science maintain marine observatories (moorings) in two high-Arctic fjords in Svalbard: Kongsfjorden and Rijpfjorden. The observatories consists of an array of CTDs, temperature loggers, ADCPs and a sediment trap, in addition to various other instruments or installations that change from year to year. This dataset contains the CTD, PAR and fluorescence data from Kongsfjorden 2012-2013. Fluorescence data is given as raw voltage only, due to calibration and fouling issues. It is meant as an indication of the timing of the phytoplankton bloom, not as absolute chlorophyll a concentration. No post-recovery processing of light data (to correct for fouling) has been performed. The setup on for this deployment had several differences from other years. This is the last deployment using Vemco miniloggers for temperature (later: SBE56). An additional SBE16+ was placed above the top sphere on a rope with an additional float (26 m). There was also an additional sediment trap at 56 m. The standard setup of an upward and downward looking ADCP above and below the 112 m sediment trap was established and continued ever since.
Institutions: met.no Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:12:04Z
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Abstract:
Daily gap-free analysis field (L4) of sea surface temperature (SST) from satellite observations for North-Atlantic and Arctic Ocean.
File format:(GHRSST's) GDS2.0. Resolution: 0.05 deg. x 0.05 deg., 24 hrs. Satellite data sources: Infra-red and microwave radiometers (NOAA AVHRR, Metop AVHRR, Aqua AMSR-E, Envisat AATSR). Variables: SST, estimated error standard deviation of analysed SST, sea/land/lake/ice field composite mask, (and sea ice fraction with values 0 or 1).
This L4 product is also available for the time period 2010-11-29 - 2012-07-02 in a separate dataset named metno-sstana05-V1, in the previous file format (GDS1.7).
Time series from March 19th 2012 of solar radiation and photosynthetic active radiation (PAR)
from data loggers located at the roof of the University Centre in Svalbard (UNIS) in Longyearbyen, Norway. Location 78o13’21’’N/15o39’9’’E,
20 m above sea level. Measurements were recorded every 10 minutes
Green Network of Excellence Program - Arctic Climate Change Research Project
Last metadata update: 2015-05-14T00:00:00Z
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Abstract:
It is the result of chemical analysis of meltwater of the glacier. The samples were obtained at July 2012. It is composed by the result about Li, Na, NH4, K, Mg, Ca, F, Cl, NO2, Br, NO3, PO4 and SO4.
Green Network of Excellence Program - Arctic Climate Change Research Project
Last metadata update: 2015-05-14T00:00:00Z
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Abstract:
This data was measured by an shipborne Electromagnetic induction (EM) sensor which mountaed on the CCGS Louis S. St. Laurent. The observation started from 8 to 29 August. The number of EM measurements was 21 profiles and the total distance of that was 1,492 km. Calibration had done two times on 27 and 29 August over open water.
GREen Network of Excellence - Arctic Climate Change Research Project
Last metadata update: 2015-05-14T00:00:00Z
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Abstract:
Datasets of Mooring GAM "1" and GAM "2" by CCGS Louis S. St-Laurent Cruse, This GAM "1" and GAM "2" installed at 2012 Louis S. St-Laurent cruse and retreved in 2013 Louis S. St-Laurent Cruse.
Green Network of Excellence Program - Arctic Climate Change Research Project
Last metadata update: 2015-05-14T00:00:00Z
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Abstract:
It is the result of analysis of the amount of cryoconite of the glacier surface. These samplese were collected at July 2012. This data also represent the amount of organic matters and mineral particles at each sampling site.
Green Network of Excellence Program - Arctic Climate Change Research Project
Last metadata update: 2015-05-14T00:00:00Z
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Abstract:
It is the result of microscopic analysis of snow algal community of the glacier. The samples were obtained at August 2012. These data represent the change of total algal biomass (biovolume), algal cell number and structure of snow algal community with altitude.
The mooring collected data between January 16th of 2012 to December 18th of 2012 and the CTD casts were done between January 18th of 2012 and January 29 of 2012.
The mooring collected data between January 16th of 2012 to December 18th of 2012 and the CTD casts were done between January 18th of 2012 and January 29 of 2012.
Green Network of Excellence Program - Arctic Climate Change Research Project
Last metadata update: 2015-05-14T00:00:00Z
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Abstract:
It is the result of analysis of the amount of cryoconite of the glacier surface. These samplese were collected at August 2012. This data also represent the amount of organic matters and mineral particles at each sampling site.
Arctic Challenge for Sustainability, GREen Network of Excellence - Arctic Climate Change Research Project
Last metadata update: 2019-06-13T00:00:00Z
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Abstract:
These automatic weather station (AWS) data were measured as part of the "Snow Impurity and Glacial Microbe effects on abrupt warming in the Arctic (SIGMA)" Project (link to http://www.mri-jma.go.jp/Dep/cl/cl6/sigma/sigma-e.html) supported by Japan Society for the Promotion of Science (JSPS), Grant-in-Aid for Scientific Research (S), number 23221004. The data set contain 1-hourly meteorological and snow parameters measured at sites of SIGMA-A and SIGMA-B on the northwest Greenland since summer 2012.SIGMA-A is located on the Greenland ice sheet and SIGMA-B on Qaanaaq ice cap. The measured parameters are air temperature, relative humidity, wind speed, wind direction, air pressure, snow height, downward and upward components of shortwave, near-infrared and longwave radiant flux densities, and snow temperatures. The measured data were received from the ARGOS satellite network in semi-real time every day. Photos of these AWSs are presented in SIGMA Project HP.
Green Network of Excellence Program - Arctic Climate Change Research Project
Last metadata update: 2015-05-14T00:00:00Z
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Abstract:
It is the result of analysis of Chlorophyll-a concentration of the glacier. The samples were obtained at August 2012. This data represent the change of the Chlorophyll-a concentration with altitude.