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.
Air temperature measurements in snowbeds on the Varanger peninsula.
The dataset includes four different types of files and all files are
saved as ;-separated txt-files (except the readme):
* One data file per year (V_air_temperature_snowbed_YEAR.txt)
* One meatadata file per year with dates when the loggers were deployed and collected (V_air_temperature_snowbed_metadata_YEAR.txt)
* One coordinate file with coordinates of all sites (V_air_temperature_snowbed_coordinates.txt)
* One auxiliary file with information about which sites are included in the study design (V_air_temperature_snowbed_aux.txt)
* One readme file with additional information (_readme.pdf)
V3: Corrected dates when the temperature loggers were collected and cut the temperature data according to the corrected dates (for the years 2010 to 2017).
The data set present the calculated sea ice back-trajectories of 30 sea ice stations conducted in the northern Barents Sea and in western Arctic Basin north of Svalbard between August 2018 to March 2022. The sea ice stations were made during eight research cruises to the area with R/V Kronprins Haakon in the framework of the Nansen Legacy project. For details on the back-tracking methodology and data structure please see the attached metadata file NansenLegacy_sea_ice_stations_back-trajectories.pdf
Sperm whale presence at eight different locations between 2012-2021 around Svalbard, Norway, detected using an automated detector and validated manually (visually on spectrograms, and aurally). Daily environmental data for all years and locations used for statistical models (Eastern Fram Strait & Isfjorden recording sites), and for plotting figures for each location.
For exact location coordinates, deployment periods and recording schemes, see Table 1 in publication.
Variables in “sperm_whale_vocal_presence_all_locations.xlsx” :
- Location == recording site
- Year == recording year
- Month == recording month
- Dttime == date and time (hour) of the recording
- Sperm_whale == sperm whale presence as ‘1’ for vocal presence and ‘0’ for vocal absence.
Variables in “environmental_data_all_locations.xlsx” :
- Date == Date (month/day/year)
- Chlorophyll_daily_mean == Daily chlorophyll concentration (mg/m-3) averaged over a 50km area around the hydrophone location
- Primary_production_daily_mean == Daily primary production concentration (mg/m-3) averaged over a 50km area around the hydrophone location
- Zooplankton_daily_mean == Daily zooplankton concentration (g/m-2) averaged over a 50km area around the hydrophone location
- Sea_surface_temperature_daily_mean == Daily sea surface temperature (°C) averaged over a 50km area around the hydrophone location
- Very_close_drift_ice == Proportion of the 50km area around the hydrophone location that is covered by this ice category
- Close_drift_ice == Proportion of the 50km area around the hydrophone location that is covered by this ice category
- Very_open_drift_ice == Proportion of the 50km area around the hydrophone location that is covered by this ice category
- Open_water == Proportion of the 50km area around the hydrophone location that is covered by this ice category
- Fast_ice == Proportion of the 50km area around the hydrophone location that is covered by this ice category
- total_ice extent == Proportion of the 50km area around the hydrophone location that is covered by ice (all categories but “open_water” pooled together).
Environmental data were retrieved from reanalysis datasets using EU Copernicus Marine Service Information: Chlorophyll mass concentration and net primary production of biomass were obtained in 0.25° × 0.25° spatial resolution (https://doi.org/10.48670/moi-00019); zooplankton mass content expressed as carbon in sea water were obtained in 0.083° × 0.083° spatial resolution (https://doi.org/10.48670/moi-00020); and sea surface temperature was obtained in 0.05° × 0.05° spatial resolution (Goold et al., 2020; https://doi.org/10.3390/rs12040720). Daily sea ice data was retrieved from the Norwegian Meteorological Institute (https://cryo.met.no/) .
Institutions: Institute of Geophysics, Polish Academy of Sciences
Last metadata update: 2023-10-30T11:07:25Z
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Abstract:
Since 2020, during the accumulation season, snow samples are collected from the Ariebreen glacier a few times per season. Snow samples are collected to the polyethylene sterile bags and are taken to the Polish Polar Station Hornsund. After melting at room temperature, the pH, conductivity and chemical composition (major ions) are analysed at the Polish Polar Station’s chemical. Site Information Ariebreen - 0.5 km long glacier between Skoddefjellet and the northern part of Ariekammen, southernmost in Wedel Jarlsberg Land.
Institutions: Institute of Geophysics, Polish Academy of Sciences
Last metadata update: 2023-10-30T11:07:22Z
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Abstract:
During the accumulation season, snow samples were collected from the Hansbreen glacier. Few times per season. Snow samples are collected to the polyethylene sterile bags and are taken to the Polish Polar Station Hornsund. After melting at room temperature, the pH, conductivity and chemical composition (major ions) are analysed at the Polish Polar Station’s chemical laboratory. Snow chemical composition: major ions, HCO3-, pH, conductivity
Institutions: Institute of Geophysics, Polish Academy of Sciences
Last metadata update: 2023-10-30T11:07:22Z
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Abstract:
Since 2004, snow and rain samples have been collected in the Fuglebekken catchment in close vicinity of the Polish Polar Station Hornsund.The rain and snow samples are collected after every event.The pH, conductivity and chemical composition (major ions) are analysed at the Polish Polar Station’s chemical laboratory.The rain gauge is checked approximately once a day.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2023-10-26T11:47:12Z
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Abstract:
Quality controlled timeseries from Norwegian weather station 0-578-0-99938. Data are climate consistent following a number of automated and manual quality control routines.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2023-10-26T11:47:12Z
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Abstract:
Quality controlled timeseries from Norwegian weather station 0-578-0-99840. Data are climate consistent following a number of automated and manual quality control routines.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2023-10-26T11:47:12Z
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Abstract:
Quality controlled timeseries from Norwegian weather station 0-578-0-99935. Data are climate consistent following a number of automated and manual quality control routines.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2023-10-26T11:47:12Z
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Abstract:
Quality controlled timeseries from Norwegian weather station 0-578-0-99740. Data are climate consistent following a number of automated and manual quality control routines.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2023-10-26T11:47:12Z
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Abstract:
Quality controlled timeseries from Norwegian weather station 0-578-0-99927. Data are climate consistent following a number of automated and manual quality control routines.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2023-10-26T11:47:12Z
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Abstract:
Quality controlled timeseries from Norwegian weather station 0-578-0-99710. Data are climate consistent following a number of automated and manual quality control routines.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2023-10-26T11:47:12Z
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Abstract:
Quality controlled timeseries from Norwegian weather station 0-578-0-99910. Data are climate consistent following a number of automated and manual quality control routines.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2023-10-26T11:47:12Z
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Abstract:
Quality controlled timeseries from Norwegian weather station 0-578-0-99752. Data are climate consistent following a number of automated and manual quality control routines.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2023-10-26T11:47:12Z
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Abstract:
Quality controlled timeseries from Norwegian weather station 0-578-0-99765. Data are climate consistent following a number of automated and manual quality control routines.