The SIOS Data Management Service (SDMS) integrates information from SIOS partner data repositories into a unified virtual data centre, the SIOS Data Access Portal, allowing users to search for and access data regardless of where they are archived. Providers and users have to commit to the SIOS data policy.
The current focus is on dataset discovery through standardised metadata, and retrieval, visualisation & transformation of data. Ultimately, the Data Management Service works towards integration of datasets which requires a high level of interoperability at the data level.
SDMS currently harvests information on SIOS relevant datasets from a number of data centres (see below), some hosted by SIOS partners and some not. Data centres hosted by SIOS partners work to harmonise access to the data allowing integrated visualisation etc for the relevant datasets.
Data centres SDMS is harvesting information from.
SIOS partner data centres
Other
AWI (DE)
British Antarctic Survey
CNR (IT) - temporarily disabled due to server issues
National Snow and Ice Data Center
IGPAS (PL)
IMR (NO)
IOPAN (PL)
MET (NO) - weather stations have not been updated for a while, update in progress
NERSC (NO)
NILU (NO)
NIPR (JP)
NPI (NO)
UiS (PL)
Citation of data and service
If you use data retrieved through this portal, please acknowledge our funding source: Research Council of Norway, project number 291644, Svalbard Integrated Arctic Earth Observing System – Knowledge Centre, operational phase.
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)
SIOS recommends all partner data repositories to mint Digital Object Identifiers (DOI) on all datasets. The information required to properly cite a dataset is normally provided in the discovery metadata the datasets.
SIOS Core Data
In order to find SIOS Core Data please use the searchable item marked "Collection" on the right hand side of the map and select "SIOSCD". Quick access to SIOS Core Data is provided here.
Nansen Legacy Data
The Nansen Legacy project is using the SIOS Data Management system as the data portal. Quick access to all Nansen Legacy related datasets is available here.
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 from the drop down above the text field and prefixing words with '+' to require their presence and '-' to require their non presence.
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.
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 aws at Zeppelin mountain (Ny-Ålesund) (NO0042G). 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: gust in met (wind_speed_of_gust), pressure in met (air_pressure), relative_humidity in met (relative_humidity), temperature in met (air_temperature), wind_direction in met (wind_from_direction), wind_speed in met (wind_speed)
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).
Institutions: Norwegian Meteorological Institute / Arctic Data Centre, SU Stockholm University, Norwegian Meteorological Institute / Arctic Data Centre
Last metadata update: 2022-11-15T12:45:37Z
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Abstract:
Arctic Ocean Experiment 2001 AOE-2001 was an icebreaker based field experiment
with a target on the formation of low clouds in the central Arctic summer during
July and August 2001. A main portion of the 2-moth experiment was a 3-week ice
drift from 89 to 88 degN. Main components of the meteorology part of the
experiment were surface-based remote- sensing observations, general meteorology
observations (weather staion and soundings) and boundary-layer observations on
the ice. For a complete review of the experiment and a full list of instruments,
see Tjernström et al. 2004 ("The summertime Arctic atmosphere: Meteorological
measurements during the Arctic Ocean Experiment (AOE-2001)" in Bulletin of the
American Meteorological Society, 85, 1305 - 1321, and its on-line supplement
"Experimental equipment: A supplement to The summertime Arctic atmosphere:
Meteorological measurements during the Arctic Ocean Experiment (AOE-2001)").
Observations included in the dataset:
Observations from 2D-wind sonic anemometer on the mast of Oden during AOE-2001. Beware of flow distortion from the ship.
One-hour averaged cloud base observations from cloud base lidar and cloud radar during AOE-2001
Instant cloud-top observations from S-band cloud radar operating in two modes, a low-range high-resolution and a high-range low-resolution mode, respectively, obtained during AOE-2001. The presented data is the highest cloud top altitude observed.
Various meteorological observations from a mast placed on an ice-floe during AOE-2001
Turbulence statistics from sonic anemometer at 15 meters on the mast averaged over 15 minute obtained during AOE-2001
Turbulence statistics from sonic anemometer at 5 meters on the mast averaged over 15 minute obtained during AOE-2001
Various meteorological observations from Odens weather station situated at 35 metres ASL during AOE-2001. Winds may be subject to considerable flow distortion. Precipitation is in arbitrary units.
One-hour averaged precipitation from present-weather-sensor, which measures no. of precip particles falling past the sensor, during AOE-2001
Wind profile data from 915 MHz profiler on foredeck of Oden obtained during AOE-2001
Atmospheric baloon sounding data obtained during AOE-2001. The observations are interpolated to a fixed grid for plotting purposes.
Measurements from the high range of the S-band cloud radar obtained during AOE-2001. The variables presented are radar reflectivity and hydro-meteor fall velocity.
Measurements from the low range of the S-band cloud radar obtained during AOE-2001. The variables presented are radar reflectivity and hydro-meteor fall velocity.
Temperature profiles measured by a scanning radiometer obtained during AOE-2001.
Measurements from the sodar obtained during AOE-2001. Note that the altitude for each record varies in time.
Observations 5 metres AGL from mobile ISSF PAM station 1 during AOE-2001.
Turbulence observations 5 metres AGL from mobile ISSF PAM station 1 during AOE-2001.
Observations 5 metres AGL from mobile ISSF PAM station 2 during AOE-2001.
Turbulence observations 5 metres AGL from mobile ISSF PAM station 1 during AOE-2001.
Observations 5 metres AGL from mobile ISSF PAM station 3 during AOE-2001.
Turbulence observations 5 metres AGL from mobile ISSF PAM station 1 during AOE-2001.
One-hour averaged visibility observations from back-scatter sensor during AOE-2001.
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 aws at Zeppelin mountain (Ny-Ålesund) (NO0042G). 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: pressure in met (air_pressure), relative_humidity in met (relative_humidity), temperature in met (air_temperature), wind_direction in met (wind_from_direction), wind_speed in met (wind_speed)
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
Show more...
Abstract:
Ground based in situ observations of aws at Zeppelin mountain (Ny-Ålesund) (NO0042G). 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: pressure in met (air_pressure), relative_humidity in met (relative_humidity), temperature in met (air_temperature), wind_direction in met (wind_from_direction), wind_speed in met (wind_speed)
License : EMEP: Public open access. We encourage contacting data originators if substatial use of individual time series is planned (fair use data policy).
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from BARDUFOSS
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from KONGSOYA
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from HEKKINGEN LH
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from HORNSUND
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from JAN MAYEN
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from NY-ALESUND
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from VERLEGENHUKEN
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from KARL XII OYA
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from ANDOYA
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from EDGEOYA
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.
WMO Year of Polar Prediction, Svalbard Integrated Arctic Earth Observing System (YOPP, APPLICATE, SIOS)
Institutions: Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:48:52Z
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Abstract:
Synoptic meteorological measurements from SVALBARD AP
extracted from the WMO Global Telecommunication System (GTS).
Data are not quality controlled after extraction from GTS.