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
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.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2023-12-01T09:13:49Z
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Abstract:
The SENTINEL-1 mission comprises a constellation of two polar-orbiting satellites, operating day and night performing C-band synthetic aperture radar imaging, enabling them to acquire imagery regardless of the weather.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2023-12-01T08:39:50Z
Show more...
Abstract:
The SENTINEL-1 mission comprises a constellation of two polar-orbiting satellites, operating day and night performing C-band synthetic aperture radar imaging, enabling them to acquire imagery regardless of the weather.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2023-12-01T07:13:36Z
Show more...
Abstract:
The SENTINEL-1 mission comprises a constellation of two polar-orbiting satellites, operating day and night performing C-band synthetic aperture radar imaging, enabling them to acquire imagery regardless of the weather.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2023-12-01T07:13:39Z
Show more...
Abstract:
The SENTINEL-1 mission comprises a constellation of two polar-orbiting satellites, operating day and night performing C-band synthetic aperture radar imaging, enabling them to acquire imagery regardless of the weather.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2023-12-01T07:15:49Z
Show more...
Abstract:
The SENTINEL-1 mission comprises a constellation of two polar-orbiting satellites, operating day and night performing C-band synthetic aperture radar imaging, enabling them to acquire imagery regardless of the weather.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2023-12-01T07:15:31Z
Show more...
Abstract:
The SENTINEL-1 mission comprises a constellation of two polar-orbiting satellites, operating day and night performing C-band synthetic aperture radar imaging, enabling them to acquire imagery regardless of the weather.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2023-12-01T07:15:30Z
Show more...
Abstract:
The SENTINEL-1 mission comprises a constellation of two polar-orbiting satellites, operating day and night performing C-band synthetic aperture radar imaging, enabling them to acquire imagery regardless of the weather.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2023-12-01T06:47:20Z
Show more...
Abstract:
The SENTINEL-1 mission comprises a constellation of two polar-orbiting satellites, operating day and night performing C-band synthetic aperture radar imaging, enabling them to acquire imagery regardless of the weather.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2023-12-01T06:46:23Z
Show more...
Abstract:
The SENTINEL-1 mission comprises a constellation of two polar-orbiting satellites, operating day and night performing C-band synthetic aperture radar imaging, enabling them to acquire imagery regardless of the weather.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2023-12-01T05:39:57Z
Show more...
Abstract:
The SENTINEL-1 mission comprises a constellation of two polar-orbiting satellites, operating day and night performing C-band synthetic aperture radar imaging, enabling them to acquire imagery regardless of the weather.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2023-12-01T05:39:58Z
Show more...
Abstract:
The SENTINEL-1 mission comprises a constellation of two polar-orbiting satellites, operating day and night performing C-band synthetic aperture radar imaging, enabling them to acquire imagery regardless of the weather.
Snap trapping data of rodents on the Varanger and Nordkynn peninsula. This dataset has data from the COAT regional study design. Each entry corresponds to a trapped individual. Two related datasets have information on i) site-based abundances and ii) trap status, i.e. missing and closed traps.
The dataset includes four different types of files and all files are saved as ;-separated txt-files:
* One data file per year (_YEAR.txt)
* One coordinate file with coordinates of all sites (_coordinates.txt)
* One auxiliary file with information about which sites are included in the study design (_aux.txt)
* One readme file with additional information (_readme.pdf)
The dataset has a two-year embargo, older versions of the dataset are publicly available for download.
Image metadata of images taken by small mammal cameras on the Varanger peninsula. The dataset contains metadata for each image, such as date and time when the image was taken, the trigger mode (motion sensor or time lapse) and temperature inside the camera trap.
The dataset includes four different types of files and all files are saved as ;-separated txt-files:
* One data file per year and locality (locality_YEAR.txt)
* One coordinate file with coordinates of all sites (_coordinates.txt)
* One auxiliary file with information about which sites are included in the study design (_aux.txt)
* One readme file with additional information (_readme.pdf)
Classification of the images is available in the dataset 'V_rodents_cameratraps_image_classification_intensive_quadrats'. Information recorded during the annual camera check is available in the dataset 'V_rodents_cameratraps_annual_metadata_intensive_quadrats'.
The data is not publicly available yet.
Ground cover in meadow sites.
The dataset includes three different types of files and all files (except the readme) are saved as ;-separated txt-files:
* One data file per year (_YEAR.txt)
* One coordinate file with coordinates of all sites included in the dataset (_coordinates.txt)
* One auxiliary file with information about which sites are included in the dataset and when (_aux.txt)
* One readme file with additional information about the variables included in the study design (_readme.pdf)
The dataset has a two-year embargo, older versions of the dataset are publicly available for download.
Soil temperature measurements in snowbeds with exclosures on the Varanger peninsula.
The dataset includes four different types of files and all data files are saved as ;-separated txt-files (except the readme):
* One data file per year (V_soil_temperature_snowbed_experimental_YEAR.txt)
* One meatadata file per year with dates when the loggers were deployed and collected (V_soil_moisture_temperature_snowbed_experimental_metadata_YEAR.txt)
* One coordinate file with coordinates of all sites (V_soil_moisture_temperature_snowbed_experimental_coordinates.txt)
* One auxiliary file with information about which sites are included in the study design (V_soil_moisture_temperature_snowbed_experimental_aux.txt)
* One readme file with additional information (_readme.pdf)