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 data has been collected during a cruise with RV Lance from 30 July to 2 August 2017. Samples have been collected from in front of tidewater glaciers by use of MIK nets and baited traps.
The dataset contains stable isotope ratios as d13C (‰) and d15N (‰) and trophic level. For the fish species the stomach content, stomach content wet weight and the degree of filling are also recorded.
Quality
Sampling method:
Zooplankton and fish were collected from RV Lance using a Methot-Isaac-Kidd (MIK) ring net (3.15 m2 opening, 13-m long net with 1500 μm pore size and a 500 μm mesh in the last metre), fitted with a 10-L cod end. Benthic amphipods were collected with baited traps in strings of five traps each deployed overnight at different locations in the glacial bay outside Kronebreen.
Analyse method:
All samples have been analysed at Institute for Energy Technology (IFE) according to their standard procedure, described briefly here:
- Lipids and non-dietary carbon (i.e. carbonates) are removed from samples prior to analyses since lipids have a high turnover and are depleted in 13C relative to other body compounds. The removal of lipids will also reduce differences in stable isotope composition due to variations in body lipid content, and therefore make the C:N ratios more comparable among species.
- Lipids are removed by Soxhlet extraction with CH2Cl2 : 7% CH3OH for approx. 2h, washing with 2N HCl and distilled water to neutral pH. The samples are dried at 80°C for 12h, weighed and transferred into 9*15 mm tin capsules. Approximately 1 mg of the sample was used.
- The sample was combusted in the presence of O2 and CrO3 at 1700°C in a Eurovector element analyser. Reduction of NOx to N2 was done in Cu oven at 650 °C.
- H2O was removed in a chemical trap of KMnO4.
- N2 and CO2 were separated on a 2 m Poraplot Q GC column.
- The C/N ratio was quantified on basis of TCD results from the GC
- N2 and CO2 were directly injected on-line to Nu Instrument Horizon, Isotope Ration Mass Spectrometer for determination of δ13C and δ15N.
Accuracy & precision:
The accuracy and precision of δ13C and δ15N analyses are tested by replicate analysis of an internal standard (IFE trout) every 10 samples.
Presentation of results
Stable isotope ratios are expressed as the deviation from standards in ppt (‰) according to the following equation:
δX=[(R”sample” /Rstandard)*1000]
X = 13C or 15N and R = the corresponding ration 13C/12C or 15N/14N International standards, Pee Dee Belemnite for δ13C (PDB: USGS 24), and atmospheric air for δ 15N (IAEA-N-1 and 2,) were used to determine R standard.
Data structure:
The data is following Darwin Core nomenclature as far as possible but also includes variables that aren’t supported by Darwin Core. All information about the sampling such as eventDate, latitude, longitude, depts etc is located in event file while the result such as N, C etc. are found in the stable isotope file. The fieldNumber would be the link between the stable isotope and event files.
Header name index - events
- fieldNumber: sample ID (e.g. SI-044)
- expedition: cruise name
- eventDate: the date-time when an event occurred, using ISO 8601-1:2019 format (2020-07-27T07:16:03.446Z).
- area: the area groups used in the publication “Tidewater glaciers as “climate refugia” for zooplankton-dependent food web in Kongsfjorden, Svalbard”
- locationID: station name
- decimalLongitude: geographic latitude (in decimal degrees, using the spatial reference system given in geodetic datum)
- decimalLatitude: geographic longitude (in decimal degrees, using the spatial reference system given in geodeticDatum)
- bottomDepthInMeters: bottom depth in meters
- eventRemarks: comments or remarks about the event (free text field)
- gearType: the gear used to take the sample e.g. MultiNet 180 µm
- maximumDepthInMeters: bottom depth of the sampled layer
- minimumDepthInMeters: top depth of the sampled layer
- principalInvestigatorName: name of the person in charge of the sample collection
- principalInvestigatorEmail: email address of the person in charge of the sample collection
- principalInvestigatorInstitution: affiliated institution of the person in charge of the sample collection
Header name index – stable isotope
- scientificName: full scientific name of the identified organism at the lowest taxonomic level that can be ascertained.
- identificationQualifier: A standard term (sp., spp., and indet
- lifeStage: the age class, life stage, or life form/morph of the organism.
- sizeGroup: the size group in mm.
- tissue: the tissue of the sample used for stable isotope analysis
- d13C (‰): stable isotope ratios of carbon expressed as the deviation from standards in ppt (‰)
- d15N (‰): stable isotope ratios of nitrogen expressed as the deviation from standards in ppt (‰)
- trophicLevel: The trophic level of a consumer can be calculated as the difference between δ 15N and the food web baseline assuming a constant fractionation between trophic levels according to the following equation: TL= α+ (δ15 N consumer/δ15 Nbase)/∆N
- W% C: Dry Weight % Carbon
- W% N: Dry Weight % Nitrogen
- C/N ratio: The ration of carbon to nitrogen
- IFE Lab ID: ID used at Institute for Energy Technology (IFE) when analysing the samples The following terms are recorded only for fish samples:
- stomachContent: The species found in the stomach
- stomachContent_wetWeight (mg): The wet weight (mg) of the stomach content
- stomachFilling: The percentage filling of th estomach
The data have been collected during with RV Lance 30 July-2 August 2017. Samples have been collected using baited traps in the glacier bay in front of Kronebreen in the inner part of Kongsfjorden.
Quality
Sampling method:
Benthic amphipods were caught in baited traps, in strings of five traps each deployed overnight from Polarcirkel at different locations in the glacial bay outside Kronebreen in. The baited traps consisted of plastic pipe (20 cm long, 10 cm in diameter) with a funnel attached to one end and a removable net (mesh size: 1 mm) on the other. Bait was raw chicken meat packed in fine-mesh bags to prevent the amphipods from getting access to it.
Analyse method:
The collected species were identified under a stereomicroscope.
Header name index
- fieldNumber: sample ID
- expedition: cruise name
- eventDate: the date-time when an event occurred, using ISO 8601-1:2019 format (2020-07-27T07:16:03.446Z)
- locationID: station name
- locationID_trap: location number for traps
- decimalLongitude: geographic latitude (in decimal degrees, using the spatial reference system given in geodetic datum)
- decimalLatitude: geographic longitude (in decimal degrees, using the spatial reference system given in geodeticDatum)
- gearType: the gear used to take the sample
- deploymentTimeInDays: duration of the deployment of the traps in days
- trap: The number of the traps
- scientificName: full scientific name of the identified organism at the lowest taxonomic level that can be ascertained.
- identificationQualifier: A standard term (sp., spp., and indet.) to express the determiner’s doubts about the identification.
- organismQuantity: the quantity of the organism per volume water in the environment
- organismQuantityType: ind/trap days
- principalInvestigatorName: name of the person in charge of the sample collection
- principalInvestigatorEmail: email address of the person in charge of the sample collection
- principalInvestigatorInstitution: affiliated institution of the person in charge of the sample collection
The data has been collected during the Nansen Legacy Joint Cruise 2-2 from 24 August - 29 September 2021 on the research vessel RV Kronprins Haakon (cruise number 2021710), along a transect in the northern Barents Sea from 76N to 82N. The dataset contains abundance of pelagic marine protists, including phytoplankton (autotrophic) and protozooplankton (heterotrophic). Protists were identified and counted with light microscopy using the Utermöhl method and the result are given as cells per liter (cells/L) called organismQuantity.
Quality
Sampling method:
The samples were collected with Niskin bottles attached to a CTD rosette at the following depths: 5, 10, 30, 60, 90 m and deep chlorophyll max (DCM). The samples were preserved using an aldehyde mixture of glutaraldehyde and hexamethylenetetramine-buffered formalin at final concentrations of 0.1% and 1% respectively.
Analyse method:
All samples have been analysed at Institute of Oceanology of the Polish Academy of Sciences (IOPAN). The organisms were identified and counted under an inverted microscope according to the Utermöhl method.
Header name index - events
- expedition: cruise number for R/V Kronprins Haakon
- eventID: UUID for the sample
- parentID: UUID for the gear deployment (each Niskin has a unique parentID)
- eventDate: the date-time when an event occurred, using ISO 8601-1:2019 format (2020-07-27T07:16:03.446Z).
- fieldNumber: human-readable sample ID (e.g. PHT-001)
- locationID: station name
- decimalLongitude: geographic latitude (in decimal degrees, using the spatial reference system given in geodetic datum)
- decimalLatitude: geographic longitude (in decimal degrees, using the spatial reference system given in geodeticDatum)
- bottomDepthInMeters: bottom depth in meters
- eventRemarks: comments or remarks about the event (free text field)
- gearType: the gear used to take the sample e.g. Niskin bottle
- samplingDepthInMeters: depth sampled
- sampleType: description of the sample type according to a standard list
- recordedBy: name of the person who took the samples
- principalInvestigatorName: name of the person in charge of the sample collection
- principalInvestigatorEmail: email address of the person in charge of the sample collection
- principalInvestigatorInstitution: affiliated institution of the person in charge of the sample collection
Header name index - occurrence
- scientificName: full scientific name of the identified organism at the lowest taxonomic level that can be ascertained. The scientificName should be selected from a drop-down menu linked to the list in taxonomy sheet. (e.g Thalassiosira hyalina).
- identificationQualifier: A standard term (sp., spp., and indet.) to express uncertainty in identification.
- lifeStage: the life stage (e.g. resting spore) of the organism.
- sizeGroupOperator: describes if the size group is less than or greater than a value (It = less than, gte = greater or equal to)
- sizeGroup: the size group in µm.
- organismRemark: indicates e.g. varieties, colony type
- identificationRemarks: a free text field for adding information relevant to the analysis
- identifiedBy: person who did the lab-analyse
- fieldsInCount: Number of fields counted in the microscope
- magnificationMicroscope: The magnification setting used during analysis. Selected from a drop-down menu linked to vocab-sheet
- maxFields: Number of fields in the entire sedimentation chamber (Related to magnification used)
- takenVolumeML: The volume taken for sedimentation in the Utermöhl chamber (the sub-sample taken for analysis)
- identifiedBy: Drop-down menu linked to list in people-sheet
- dateIdentified: Date for the analysis
- sampleSizeValue=(fieldsInCount/maxFields)*(takenVolumeML/convertionMLtoL)*dilutionFactorFormaldehyde), dilutionFactorFormaldehyde = 0.95
- sampleSizeUnit: liter (l)
- organismQuantity: the quantity of the organism per volume water in the environment (organismQuantity = individualCount/sampleSizeValue)
- organismQuantityType: cells/l
Funding:
The Nansen Legacy is funded by the Research Council of Norway and the Norwegian Ministry of Education and Research. They provide 50% of the budget while the participating institutions contribute 50% in-kind. The total budget for the Nansen Legacy project is 740 mill. NOK.
Results of the geochemical and magnetic studies on natural mineral aerosol deposited and trapped in glaciers (cryodust). Samples were collected from glacial cores taken from five glaciers of Southern Spitsbergen (Svalbard, Norway). The samples were collected by means of a hand-operated Kovacs Enterprise® Mark II coring system. Samples (90 mm in diameter) were packed into polyethylene bags, secured, and transported to the Polish Polar Station Hornsund. The core samples were rinsed using deionized water (Polwater DL100; Norm PN-EN ISO 117 3696:1999; conductivity <0.06 μS/cm) and melted at room temperature in the closed new polyethylene bags. After melting samples were filtered through pre-rinsed sterile Millipore Mixed Cellulose Esters filters (white gridded and 0.45 𝜇𝜇m pore size). After filtration, the filters with residuum were dryer at the temperature of 60oC.Solid particulates of cryodust were subjected to analysis by Electron MicroProbe (EMP) with special attention paid to their internal structure. A scanning electron microscope (SEM) fitted with a backscattered electron (BSE) detector was used to trace grains topography and composition. Special attention was given to monazite chemical dating. Magnetic methods comprised analyses of magnetic susceptibility κ vs temperature T variations and determination of magnetic hysteresis parameters.More about the methodology, analyses and results can be found here: https://doi.org/10.3390/atmos11121325
Data belonging to the manuscript: "Individual particle characteristics, optical properties and evolution of an extreme long range transported biomass burning event in the European Arctic (Ny-Ålesund, Svalbard Islands)" Journal of Geophysical Research: Atmospheres, 125(5), e2019JD031535
Concentration of Na+, Cl-, NH4+, nssK, nssSO4, C org, EC and BC Data belonging to the manuscript: "Individual particle characteristics, optical properties and evolution of an extreme long range transported biomass burning event in the European Arctic (Ny-Ålesund, Svalbard Islands)" Journal of Geophysical Research: Atmospheres, 125(5), e2019JD031535
Data belonging to the manuscript: "Individual particle characteristics, optical properties and evolution of an extreme long range transported biomass burning event in the European Arctic (Ny-Ålesund, Svalbard Islands)" Journal of Geophysical Research: Atmospheres, 125(5), e2019JD031535
Data belonging to the manuscript: "Individual particle characteristics, optical properties and evolution of an extreme long range transported biomass burning event in the European Arctic (Ny-Ålesund, Svalbard Islands)" Journal of Geophysical Research: Atmospheres, 125(5), e2019JD031535
Data belonging to the manuscript: "Individual particle characteristics, optical properties and evolution of an extreme long range transported biomass burning event in the European Arctic (Ny-Ålesund, Svalbard Islands)" Journal of Geophysical Research: Atmospheres, 125(5), e2019JD031535
Trends of Aitken, accumulation and coarse mode fractions (a), temperature and relative humidity (b), aerosol scattering at 530 nm (c), absorption coefficients (d), single scattering albedo (SSA) at 530 nm (orange line, right scale) and absorption Angstrom exponent (AAE, grey line, left scale; e) of the aerosol at GVB during the BB event.
The data is used in the paper "Dynamic response of a high Arctic glacier to melt and runoff variations", published in Geophysical Research Letters. For more details about the data we refer to the paper (https://doi.org/10.1029/2018GL077252).
The dataset contains a concentration of organochlorine persistent organic pollutants in snow samples collected from top layer of snow, which corresponded to fresh snowfall in most cases (except DS location, where there was a 20 cm top layer sampled weekly). All snow samples have been collected within one month during spring 2019, in the vicinity of the Polish Polar Station Hornsund. Snow sample location names ending in .1, .2 and .3 are local replicates of the same sample, i.e. the snow sampled according to the same protocol, samples taken within the spacing of 1-3 m from one another. Sample locations H, R, F and DS refer to: Hans glacier, Revdalen (valley), Fugleberget slope, and the Environmental hut (chamber) of the Polish Polar Station, respectively. All concentrations are given in ng/L of melted snow (water), i.e. ng/kg snow. Compound names are given at the top of columns denoting concentrations, for which an average of 3 analytical replicates and a standard deviation of those replicates is reported.The dataset is part of a project funded by SIOS (Svalbard Integrated Arctic Earth Observing System) Research Infrastructure Access Project 2018_0009 Sval-POPs: Spatial VAriabiLity: VALidation dataset on POPs concentrations in snow.
This dataset quantifies atmospheric, surface and sub-surface (active-layer) water fluxes in the proglacial area of the Svalbard glacier Finsterwalderbreen (77˚ N), through a combination of field measurements, physical modelling and statistical estimation, to determine the proglacial water balance over a complete annual cycle.