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.
The UNIS Hydrographic Database (UNIS HD) is a collection of temperature and salinity profiles from the area (0-34°E and 75-83°N). Main data contributors are The University Centre in Svalbard (UNIS), University of Bergen (UiB), Institute of Marine Research (IMR), Norwegian Polar Institute (NPI), the Arctic University of Norway (UiT), Institute of Oceanology Polish Academy of Sciences (IOPAS), The Scottish Association for Marine Science (SAMS), Arctic and Antarctic Research Institute (AARI), and Alfred Wegener Institut (AWI). Additional data in the database have been extracted from other data publishers; the Norwegian Marine Data Centre (NMDC, https://www.nmdc.no), the dataset catalogue of the Norwegian Polar Institute (https://data.npolar.no/dataset), the International Council for the Exploration of the Sea (ICES) dataset on ocean hydrography (https://ocean.ices.dk/HydChem), the PANGAEA data publisher (https://www.pangaea.de), the North Atlantic and Nordic Seas hydrography collection (NANSHY; Nilsen, 2015) based on the dataset from the project Norwegian Iceland Seas Experiment (NISE; Nilsen et al., 2008), and the Unified Database for Arctic and Subarctic Hydrography (UDASH; Behrendt et al., 2018). Data are processed with standard software from the instrument manufacturers, and most of them calibrated with in situ water bottle analysis and post-cruise calibration. However, calibration has not been quality checked in all the data, so use with caution (salinity values in particular). Duplicate data and outliers are removed. Remaining profiles are provided with information of owner or source institution and citation when possible (see Citation list).
Acknowledgment: The compiling of UNIS HD was financially supported by the projects REOCIRC (#222696/F50) and GrønnBille (#227067, RIS-ID 6700) funded by the Research Council of Norway (RCN). We would like to thank all the students and colleagues at UNIS for their valuable effort in collecting data during the UNIS student and research cruises over the years.
Hydrographic and current time series data from outside the southern side of the Isfjorden Mouth during 16 September 2005 to 15 September 2006 at 78°03.650’ N; 013°31.369’ E, and 210 m depth. The mooring was deployed by the University Centre in Svalbard (UNIS) as a part of the AGF course “Polar Ocean Climate” to monitor inflow of Atlantic Water to Isfjorden, and was equipped with two Aanderaa Instruments recoding current meters (RCMs) and one water level recoder (WLR) with auxiliary CTD sensors covering the upper, the intermediate, and the bottom layer. For further details of the mooring and data, see Skogseth et al. (2020).
Reference: Skogseth R., Olivier L.L.A., Nilsen F., Falck E., Fraser N., Tverberg V., Ledang A.B., Vader A., Jonassen M.O., Søreide J., Cottier F., Berge J., Ivanov B.V., and Falk-Petersen S. (2020). Variability and decadal trends in the Isfjorden (Svalbard) ocean climate and circulation – an indicator for climate change in the European Arctic, Progress in Oceanography, 187, DOI: doi.org/10.1016/j.pocean.2020.102394.
Quality
No salinity data. Pressure and temperature data have been despiked with a window size of 60 and a standard deviation of 2. Temperature data have been calibrated against nearby SBE 911+ CTD profiles taken during the deployment period. Times rounded to nearest hour or 10 min.
Hydrographic and current time series data from outside the southern side of the Isfjorden Mouth during 16 September 2005 to 15 September 2006 at 78°03.674’ N; 013°31.464’ E, and 203 m depth. The mooring was deployed by the University Centre in Svalbard (UNIS) as a part of the AGF course “Polar Ocean Climate” to monitor inflow of Atlantic Water to Isfjorden, and was equipped with three Aanderaa Instruments recoding current meters (RCMs) with auxiliary CTD sensors covering the upper, the intermediate, and the bottom layer. For further details of the mooring and data, see Skogseth et al. (2020).
Reference: Skogseth R., Olivier L.L.A., Nilsen F., Falck E., Fraser N., Tverberg V., Ledang A.B., Vader A., Jonassen M.O., Søreide J., Cottier F., Berge J., Ivanov B.V., and Falk-Petersen S. (2020). Variability and decadal trends in the Isfjorden (Svalbard) ocean climate and circulation – an indicator for climate change in the European Arctic, Progress in Oceanography, 187, DOI: doi.org/10.1016/j.pocean.2020.102394.
Quality
Pressure, temperature and salinity data have been despiked with a window size of 60 and a standard deviation of 2. Temperature and salinity data have been calibrated against nearby SBE 911+ CTD profiles taken during the deployment period.
Institutions: IMR Institute of Marine Research, Norwegian Meteorological Institute / Arctic Data Centre, Norwegian Meteorological Institute / Arctic Data Centre, IMR Institute of Marine Research
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.
Hydrographic and current time series data from inside the southern side of the Isfjorden Mouth during 16 September 2005 to 15 September 2006 at 78°08.300’ N; 014°25.030’ E, and 220 m depth. The mooring was deployed by the University Centre in Svalbard (UNIS) as a part of the AGF course “Polar Ocean Climate” to monitor inflow of Atlantic Water to Isfjorden, and was equipped with two Aanderaa Instruments recoding current meters (RCMs) with auxiliary CTD sensors covering the intermediate and bottom layer. For further details of the mooring and data, see Skogseth et al. (2020).
Reference: Skogseth R., Olivier L.L.A., Nilsen F., Falck E., Fraser N., Tverberg V., Ledang A.B., Vader A., Jonassen M.O., Søreide J., Cottier F., Berge J., Ivanov B.V., and Falk-Petersen S. (2020). Variability and decadal trends in the Isfjorden (Svalbard) ocean climate and circulation – an indicator for climate change in the European Arctic, Progress in Oceanography, 187, DOI: doi.org/10.1016/j.pocean.2020.102394.
Quality
Pressure, temperature and salinity data have been despiked with a window size of 60 and a standard deviation of 2. Temperature and salinity data have been calibrated against nearby SBE 911+ CTD profiles taken during the deployment period. No pressure and salinity on lower 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 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.
Data from: Pelagic Ecosystem Characteristics Across the Atlantic Water Boundary Current From Rijpfjorden, Svalbard, to the Arctic Ocean During Summer (2010–2014)
The dataset contains six sub-datasets: CTD, Biogeochemistry, Carbonate, Phytoplankton abundance, Phytoplankton biomass, Zooplankton abundance. The datasets are published in Hop et al. 2019 “Pelagic Ecosystem Characteristics across the Atlantic Water Boundary Current from Rijpfjorden, Svalbard, to the Arctic Ocean During Summer (2010-2014)”.
Quality
The dataset is compiled in 8 files:
CTD data.csv (to be included)
Biogeochemistry data.csv contains metadata and biogeochemistry data. Columns: id = row name; station= station name; date = date in dd-mm-yyyy hh:mm format; longitude = longitude as decimal degrees (WGS84); latitude = latitude as decimal degrees (WGS84); bottom_depth=bottom depth in meters; distance= distance from inner part of the part in km; depth=sampling depth in m; NOx =Nitrate (NO3)+ Nitrite (NO2) in mmol m-3 ; PO4= Phosphate (PO4) in mmol m-3; Si(OH)4=Silicate in mmol m-3; chlorophyll_a= chlorophyll a in mg m-3 & phaeophytin= phaeophytin in mg m-3
Carbonate data.csv (to be included)
Phytoplankton abundance data.csv contains abundance data of major protist taxa in cells m-3. Metadata: station=station name; year=year; depth=sampling depth; distance= distance from inner part of the part of the fjord in km Major protist taxa: Diatoms; Dinoflagellates; Ciliate; Prymnesiophytes; Flagellates indet.; Other (in cells m-3)
Phytoplankton biomass data.csv contains biomass data of major protist taxa in mg m-3. Metadata: station=station name; year=year; depth=sampling depth; distance= distance from inner part of the part of the fjord in km Major protist taxa: Diatoms; Dinoflagellates; Ciliate; Prymnesiophytes; Flagellates indet.; Other (in cells m-3)
Zooplankton data.csv contains zooplankton abundance data in individuals per cubic meter. The columns of the dataset consist of species and stage codes specified in the species metadata, while the rows consist of samples indicate in the sample metadata.
Zooplankton metadata.csv contains row metadata for zooplankton abundance. Columns: id = row name in zooplankton abundance data; expedition = expedition/cruise name; station = station name; sample_name = internal sample name for backwards compatibility; longitude = longitude as decimal degrees (WGS84); latitude = latitude as decimal degrees (WGS84); date = date in dd-mm-yyyy hh:mm format; bottom_depth=bottom depth in meters; from = depth in meters where the MultiNet opened ; to = depth in meters where the MultiNet closed; salinity = salinity in PSU; temperature= temperature in °C; distance= distance from inner part of the part in km & comment = specific comments concerning the sample
Zooplankton species list.csv contains column metadata for zooplankton abundance. Columns: id = column name in zooplankton abundance data; species = scientific taxa name; stage = life stage; length = length group; origin = the assumed origin of species (Atlantic, Arctic, Both or Unknown); biomass_conv = abundance to biomass conversion factor, see Hop et al. 2019; phylum, class & order= taxonomic rank according to WoRMS.
Hydrographic and current time series data from outside the southern side of the Isfjorden Mouth during 9 September 2010 to 3 September 2011 at 78°03.502’ N; 013°35.609’ E, and 205 m depth. The mooring was deployed by the University Centre in Svalbard (UNIS) as a part of the AGF course “Polar Ocean Climate” to monitor inflow of Atlantic Water to Isfjorden, and was equipped with three Aanderaa Instruments recoding current meters (RCMs) with auxiliary CTD sensors covering the upper, the intermediate, and the bottom layer. Additionally, three SBE 37 MicroCAT CTDs and five VEMCO mini temperature loggers were evenly distributed over the water column. For further details of the mooring and data, see Skogseth et al. (2020).
Reference: Skogseth R., Olivier L.L.A., Nilsen F., Falck E., Fraser N., Tverberg V., Ledang A.B., Vader A., Jonassen M.O., Søreide J., Cottier F., Berge J., Ivanov B.V., and Falk-Petersen S. (2020). Variability and decadal trends in the Isfjorden (Svalbard) ocean climate and circulation – an indicator for climate change in the European Arctic, Progress in Oceanography, 187, DOI: doi.org/10.1016/j.pocean.2020.102394.
Quality
Pressure, temperature and salinity data have been despiked with a window size of 60 and a standard deviation of 2. Temperature and salinity data have been calibrated against nearby SBE 911+ CTD profiles taken during the deployment period. At the same time, care was taken to keep the water column stable.
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.
Hydrographic and current time series data from outside the southern side of the Isfjorden Mouth during 8 September 2011 to 3 September 2012 at 78°03.637’ N; 013°31.271’ E, and 205 m depth. The mooring was deployed by the University Centre in Svalbard (UNIS) as a part of the AGF course “Polar Ocean Climate” to monitor inflow of Atlantic Water to Isfjorden, and was equipped with three Aanderaa Instruments recoding current meters (RCMs) with auxiliary CTD sensors covering the upper, the intermediate, and the bottom layer. Additionally, three SBE 37 MicroCAT CTDs and five VEMCO mini temperature loggers were evenly distributed over the water column. For further details of the mooring and data, see Skogseth et al. (2020).
Reference: Skogseth R., Olivier L.L.A., Nilsen F., Falck E., Fraser N., Tverberg V., Ledang A.B., Vader A., Jonassen M.O., Søreide J., Cottier F., Berge J., Ivanov B.V., and Falk-Petersen S. (2020). Variability and decadal trends in the Isfjorden (Svalbard) ocean climate and circulation – an indicator for climate change in the European Arctic, Progress in Oceanography, 187, DOI: doi.org/10.1016/j.pocean.2020.102394.
Quality
Pressure, temperature and salinity data have been despiked with a window size of 60 and a standard deviation of 2. Temperature and salinity data have been calibrated against nearby SBE 911+ CTD profiles taken during the deployment period. At the same time, care was taken to keep the water column stable. 464 rounded to nearest 20 min, 1088 to the nearest 5 min, the rest within 1 min.
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.