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 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.
This dataset compiles Fatty Acid composition (relative proportions) of 4-day old Calanus hyperboreus nauplii from mothers collected in the Northern Barents Sea. Gravid Calanus hyperboreus females were collected from the Northern Barents Sea during the Q1 Nansen Legacy Seasonal Cruise in March 2021. After hatching, 4-day old Calanus hyperboreus nauplii were used for a short-term incubation assay (24h), exposing the nauplii to acidification (pH 8.01 and 7.50) and warming (0°C and 3°C), both individually and in combination. Nauplii larvae were added to each replicate at a density of ~0.6 larvae mL-1. The bottles were kept in the dark in incubators at the target temperature for 24 hours. After the incubation, all larvae from each treatment were extracted and checked for survival, and the remaining individuals were stored in Eppendorf tubes, freeze-dried, and kept at -80°C for lipid content analysis.
Quality
The lipid content and fatty acid compositions of the copepod nauplii obtained from the incubation assays were analysed at the Alfred Wegener Institute in Bremerhaven, Germany. To acquire sufficient sample material for the analysis, between 100 to 148 individual larvae were pooled per sample. Triplicate samples (except for Treatment 3, which had duplicates) were analysed for each treatment. Before lipid extraction, the samples were freeze-dried for 24 h at -80 °C and then mechanically homogenized using a Potter-Elvehjem homogenizer. Total lipids were extracted by using a modified protocol from Folch et al., (1957), with dichloromethane/methanol (2:1, v/v), followed by cleaning with 0.88% potassium chloride solution. The extracted lipids were then transformed into fatty acid methyl esters (FAMEs) and free fatty alcohols derived from wax esters by transesterification in methanol containing 3% concentrated sulfuric acid, at 80 °C for 4 h. The FAMEs and alcohols were separated via an Agilent 6890N Network gas chromatograph (Agilent Technologies, USA) with a DB-FFAP capillary column (30 m, 0.25 mm I.D., 0.25 µm film thickness), equipped with a flame-ionization detector using a temperature program (160 to 240 °C). The samples were injected at 160 °C with helium as the carrier gas. The FAMEs were identified using standard mixtures, and the total lipid content was quantified as the sum of FAs and fatty alcohols using an internal standard (23:0) that was added prior to lipid extraction. The fatty acids are expressed in the nomenclature A:Bn-X, where A represents the number of carbon atoms, B the amount of double bonds, and X is the position of the first double bond starting from the methyl end of the carbon chain. The proportions of individual FAs are expressed as mass percentages of the total FA content.
This dataset compiles individual oxygen uptake rates of 4-day old Calanus hyperboreus nauplii when exposed to ocean acidification and warming, individually and in combination.
Quality
Gravid Calanus hyperboreus females were collected from the Northern Barents Sea during the Q1 Nansen Legacy Seasonal Cruise in March 2021. After hatching, 4-day old Calanus hyperboreus nauplii were used for a respiration assay, exposing the nauplii to acidification (pH 8.01 and 7.50) and warming (0°C and 3°C), both individually and in combination. The measurement of the metabolic rates took place by means of the loligo microplate system and took 12h. Subequently, the oxygent uptake rates were obtained by means of the RespR package in R (Rstudio) and were calculated into ng O2 per individual per hour. To our knowledge, this is the first dataset on naupliar oxygen uptake rates in a multiple stressor experimental design for Calanus hypeboreus from the Northern Barents Sea.
This dataset compiles Fatty Acid composition (relative proportions) of 4-day old Calanus hyperboreus nauplii from mothers collected in the Northern Barents Sea.
Gravid Calanus hyperboreus females were collected from the Northern Barents Sea during the Q1 Nansen Legacy Seasonal Cruise in March 2021. After hatching, 4-day old Calanus hyperboreus nauplii were used for a short-term incubation assay (24h), exposing the nauplii to acidification (pH 8.01 and 7.50) and warming (0°C and 3°C), both individually and in combination. Nauplii larvae were added to each replicate at a density of ~0.6 larvae mL-1. The bottles were kept in the dark in incubators at the target temperature for 24 hours. After the incubation, all larvae from each treatment were extracted and checked for survival, and the remaining individuals were stored in Eppendorf tubes, freeze-dried, and kept at -80°C for lipid content analysis.
Quality
The lipid content and fatty acid compositions of the copepod nauplii obtained from the incubation assays were analysed at the Alfred Wegener Institute in Bremerhaven, Germany. To acquire sufficient sample material for the analysis, between 100 to 148 individual larvae were pooled per sample. Triplicate samples (except for Treatment 3, which had duplicates) were analysed for each treatment. Before lipid extraction, the samples were freeze-dried for 24 h at -80 °C and then mechanically homogenized using a Potter-Elvehjem homogenizer. Total lipids were extracted by using a modified protocol from Folch et al., (1957), with dichloromethane/methanol (2:1, v/v), followed by cleaning with 0.88% potassium chloride solution. The extracted lipids were then transformed into fatty acid methyl esters (FAMEs) and free fatty alcohols derived from wax esters by transesterification in methanol containing 3% concentrated sulfuric acid, at 80 °C for 4 h. The FAMEs and alcohols were separated via an Agilent 6890N Network gas chromatograph (Agilent Technologies, USA) with a DB-FFAP capillary column (30 m, 0.25 mm I.D., 0.25 µm film thickness), equipped with a flame-ionization detector using a temperature program (160 to 240 °C). The samples were injected at 160 °C with helium as the carrier gas. The FAMEs were identified using standard mixtures, and the total lipid content was quantified as the sum of FAs and fatty alcohols using an internal standard (23:0) that was added prior to lipid extraction. The fatty acids are expressed in the nomenclature A:Bn-X, where A represents the number of carbon atoms, B the amount of double bonds, and X is the position of the first double bond starting from the methyl end of the carbon chain. The proportions of individual FAs are expressed as mass percentages of the total FA content.
Arctic ABC Development, Deep Impact, Centre for Autonomous Marine Operations and Systems (NFR grant 245929, NFR project no 300333, NFR project no 223254)
Institutions: UiT The Arctic University of Norway, UiT The Arctic University of Norway, UiT The Arctic University of Norway, UiT The Arctic University of Norway, UiT The Arctic University of Norway, UiT The Arctic University of Norway, UiT The Arctic University of Norway, Norwegain Infrastructure for Research Data (NIRD)
Last metadata update: 2022-11-15T15:30:23Z
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Abstract:
UiT The Arctic University of Norway (UiT) and the Norwegian University of Science and Technology (NTNU) established a light observatory at Kings Bay, Ny-Ålesund (Svalbard, Norway) in January 2017. The observatory consists of an array of light sensors including an all sky camera. It is located outside the settlement of Ny-Ålesund, approximately 1 km N-NW of the airport towards Brandalspynten. The array of sensors is mounted on a tripod under a transparent dome. This dataset contains the data of the hyperspectral radiometer USSIMO (In-situ Marine Optics, Perth, WA, Australia), converted to E(PAR) by the following equation: PAR is approximated as an integral of micromolespersec=(uirr/(h*c/(lambda*1e-9)))/microavo for wavelengths(lambda) in range from 400 to 700nm, where: uirr = USSIMO irradiance for wavelength equal to lambda, h=6.63e-34 [Js], c=3.00e+08 [m/s], microavo=6.022e17. The sensor is equipped with a Zeiss MMS1 UV-VIS NIR detector with National Institute of Standards and Technology, USA traceable radiometric calibration between 380 and 900 nm. This instrument is used for time-series measurement of down-welling spectral irradiance in energy Wm-2 nm-1. Spectral resolution is 10 nm (3.3 nm pixel spacing) and a cosine-corrected polytetrafluoroethylene (PTFE) light diffusor with cosine error: <3% (0 - 60°), <10% (60 - 87.5°), is fitted. The device acquired measurements with a 16 bit analogue to digital converter. It samples continuously internally. Integration time is controlled by the sensor depending on the light intensity, with a maximum of 6 seconds. Actual integration time is stored with the data in each sample. The sensor output is saved on a PC with custom software which records 30 seconds of output data every 29:30 min. The number of samples collected in that period depends on the USSIMO integration time. The sensor is equipped with a pitch and roll sensor which is used to ensure that the spectroradiometer remains in the fixed position throughout the time-series acquisition. For re-use of the data, please refer to the dataset and the original publication. This is an aggregated dataset that combines the invidual datasets into a continous timeseries. For details check out https://archive.norstore.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00039,https://archive.norstore.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00044,https://archive.norstore.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00045 and https://archive.norstore.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00046.
Institutions: UiT The Arctic University of Norway, UiT The Arctic University of Norway, UiT The Arctic University of Norway, UiT The Arctic University of Norway, UiT The Arctic University of Norway, UiT The Arctic University of Norway, UiT The Arctic University of Norway, Norwegain Infrastructure for Research Data (NIRD)
Last metadata update: 2022-11-15T15:30:23Z
Show more...
Abstract:
UiT The Arctic University of Norway (UiT) and the Norwegian University of Science and Technology (NTNU) established a light observatory at Kings Bay, Ny-Ålesund (Svalbard, Norway) in January 2017. The observatory consists of a range of light sensors including an all sky camera. It is located outside the settlement of Ny-Ålesund, approximately 1 km N-NW of the airport towards Brandalspynten. The array of sensors, including the camera, is mounted on a tripod under a transparent dome. This dataset contains the E(PAR) data derived from pictures taken during 2017 at hourly intervals by the all-sky-camera. The camera (Canon EOS 5D Mark III) is equipped with a fish-eye lens with a focal length set to 8 mm with aperture manually set to open (f/4) to ensure maximum sensitivity (Canon EF 8-15mm f/4L), providing a 180° image of the atmosphere (only possible with a full-size sensor). Both shutter speed (exposure time, ranging from 0.000125 to 30 seconds) and ISO (sensitivity, ranging from 100 at Midnight Sun period and up to 6400 during Polar Night) are set to auto. White balance manually set to “day light”. It is remotely controlled by a PC, pictures were stored in a cloud storage. Short gaps in the time series are due to power failures. In this dataset there are two large gaps: 2019-01-09 to 2019-03-08 and 2019-06-24 to 2019-09-25 caused by a crash of the controlling PC which was not monitored at that time. The equations for the picture-to-E(PAR) conversion can be found in: Johnsen et al 2021, An all-sky camera system providing high temporal resolution annual time-series of irradiance in the Arctic, Applied Optics. The pictures on which this dataset is based on can be found at . For re-use of the data, please refer to the dataset and the original publication. this is an aggregated dataset where the individual timeseries have been combined into a continous timeseries. For details on the dataset please check https://archive.norstore.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00040,https://archive.norstore.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00041,https://archive.norstore.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00042 and https://archive.norstore.no/pages/public/datasetDetail.jsf?id=10.11582/2021.00043.
Sea ice-associated and pelagic highly branched isoprenoids (HBIs) and sterols in pelagic zooplankton (Calanus glacialis, Calanus hyperboreus, Calanus finmarchicus, Themisto libellula, Themisto abyssorum) collected during Nansen Legacy cruise Q4
Quality
Extraction of total lipids with chloroform/methanol, saponification with potassium hydroxide in water/methanol, purification via open column chromatography Analysis via gas chromatography-mass spectrometry
Sea ice-associated and pelagic highly branched isoprenoids (HBIs) and sterols in pelagic zooplankton collected during Nansen Legacy cruise Q3
Quality
Extraction of total lipids with chloroform/methanol, saponification with potassium hydroxide in water/methanol, purification via open column chromatography Analysis via gas chromatography-mass spectrometry
The dataset contains 2 archives. The first archive contains all data (saved as netCDF files) relative to the Figures presented in Boutin et al. (2023). The second archive contains monthly averaged fields (saved as netCDF files) of the simulation described in Boutin et al. (2023). They include quantities relative to sea ice properties (icemod files) and to the mass balance (ice growth/melt etc... simba files). They cover the north Atlantic and the Arctic Ocean (north of Bering Strait) for the period 2000-2018.
icemod_monthly.tar.gz contains the gridded monthly averaged quantities used in the manuscript "Modelling the evolution of Arctic multiyear sea ice over 2000-2018" for each year between 2000 and 2018.Multiyear ice variables are conc_myi (concentration of multiyear ice in a grid cell) and thick_myi (cell average thickness of multiyear ice in a grid cell, in metres), along with source and sink terms (units per day) for multiyear concentration (dci_mlt_myi, dci_ridge_myi and dci_rplnt_myi, for melt, ridging and replenishment) and volume (dvi_mlt_myi and dvi_rplnt_myi, for melt and replenishment).transports_monthly_sections.zip contains the transports of multiyear ice through the sections defining each region in Figure 8 of the paper. MYIsiaXport indicates multiyear ice area transport, while myiXport indicates multiyear ice volume transport.In case information is missing, do not hesitate to contact heather.regan@nersc.no, guillaume.boutin@nersc.no, or einar.olason@nersc.no.