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)
National Snow and Ice Data Center
IGPAS (PL)
IMR (NO)
IOPAN (PL)
MET (NO)
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
Outline of the data portal search interface.
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.
Automatic weather station (AWS) on Etonbreen glacier, an outlet from the Austfonna ice cap in North-East Svalbard. The AWS is located at approx 360 m a.s.l. near the long term equilibrium line altitude. The AWS records variables needed for an energy balance assessment. The AWS records Air Temperature, Relative Humidity, Wind Direction and Speed, Air Pressure, Snow Height, Longwave and Shortwave radiations. Data are transferred by Iridium. The extended AWS is the same type of station with heated and ventilated radiation in addition.
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 2006-2007. 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. Fluorescence was logged with two ESM1 logger, not with SBE16+ as in the following years. Only one upward facing ADCP was deployed. And additional deep S4 current meter failed. No ePAR sensor was deployed. This is the last deployment on the northern side of Kongsfjorden, before the permanent location on the southern side was established from 2007 onwards.
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 2007-2008. 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. First deployment on southern side of Kongsfjorden, which is the permanent side for all future moorings. Only one upward facing ADCP. S4 current meter did not record any data. Sediment trap failed due to sediment stuck in the funnel.
SPUB Hornsund, RIS-ID: 11029 LONG-TERM OCEANOGRAPHIC MONITORING IN HORNSUND REGION
Institutions: Institute of Geophysics, Institute of Geophysics, Polish Academy of Sciences
Last metadata update: 2021-11-10T08:53:34Z
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Abstract:
A set of inter calibrated salinity in-depth profiles in Hornsund Fjord.We used all of our CTD sensors (Valeport: 1 CTD; RBR: 3 CTD, 2TD, 6 T; SeaBird 1CT; SAIV A/S: 1 CTD), at the same time in a stable position at stable depths for 24 hours measurement. SAIV A/S conductivity data was different from the rest. Because for CTD in-depth profile Valeport and SAIV A/S were used we made comparable CTD in-depths profiles for these two CTD sensors. Based on comparison plots for temperature and conductivity from the same depths for all comparable in-depth profiles for these two sensors we add linear correction for temperature and conductivity data from SAIV A/S. After losing SAIV A/S sensor we made the same procedure for the new. Depth (UNESCO Technical Papers in Marine Science No. 44), salinity (UNESCO 1983), density (Millero and Poisson 1981, UNESCO 1981) were calculated based on a commonly used formula from pressure, temperature, and conductivity after data inter-calibration.
SPUB Hornsund, RIS-ID: 11029 LONG-TERM OCEANOGRAPHIC MONITORING IN HORNSUND REGION
Institutions: Institute of Geophysics, Institute of Geophysics, Polish Academy of Sciences
Last metadata update: 2021-11-10T08:53:37Z
Show more...
Abstract:
A set of inter calibrated temperature in-depth profiles in Hornsund Fjord.We used all of our CTD sensors (Valeport: 1 CTD; RBR: 3 CTD, 2TD, 6 T; SeaBird 1CT; SAIV A/S: 1 CTD), at the same time in a stable position at stable depths for 24 hours measurement. SAIV A/S conductivity data was different from the rest. Because for CTD in-depth profile Valeport and SAIV A/S were used we made comparable CTD in-depths profiles for these two CTD sensors. Based on comparison plots for temperature and conductivity from the same depths for all comparable in-depth profiles for these two sensors we add linear correction for temperature and conductivity data from SAIV A/S. After losing SAIV A/S sensor we made the same procedure for the new. Depth (UNESCO Technical Papers in Marine Science No. 44), salinity (UNESCO 1983), density (Millero and Poisson 1981, UNESCO 1981) were calculated based on a commonly used formula from pressure, temperature, and conductivity after data inter-calibration.
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 2008-2009. 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. First deployment using two ADCP, both upward facing. Settlement plates and clam baskets for experiments were mounted below the SBE16+. An additional temperature logger was mounted to the pick up line. No ePAR sensor.
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 2009-2010. 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. An additional temperature logger was mounted on the pick-up line, allowing for shallow (approx. 15 m) temperature data. First deployment including an ePAR sensor on a SBE16+ at 37m. Included in all future deployments. Settlement plates were mounted below the SBE16p but the data has not been used or published.
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 2010-2011. 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. No sediment trap and only one (upward facing) ADCP on this deployment due to a lack of available hardware. An additional SBE16+ was mounted onto the ADCP frame.
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 2011-2012. 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 target position for the deployment was slightly missed, the deployment depth was much deeper than usual (top SBE16+ at 64 m). The setup contained only one upward looking ADCP, no downward looking. There was no sediment trap present either. Below the top SBE16+ some nets containing blue muscles were mounted. Data of those has not been published.
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
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.
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 2013-2014. 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. This is the first deployment in which the AURAL acoustic listening buoy got implemented in the design.
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 2014-2015. 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. Together with the top and bottom SBE37 two plastic settlement plates had been deployed for a settlement experiment for the recruitment of benthic invertebrates. The sediment trap was mounted at 47m instead the usual depth of 100 m because of specific requirements for the experiment. The observatory layout is available in the mooring diagram provided. References: Meyer et al 2017: Recruitment of benthic invertebrates in high Arctic fjords: Relation to temperature, depth, and season. LINK. Weydmann-Zwolicka et al 2021: Zooplankton and sediment fluxes in two contrasting fjords reveal Atlantification of the Arctic. http://doi.org/10.1016/j.scitotenv.2021.145599
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 2015-2016. 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 observatory layout is available in the mooring diagram provided. For this deployment a RAS500 water sampler and a SUNA nitrate sensor were deployed for a specific project, data are not part of the long-term monitoring efforts and are available upon request.