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)
National Snow and Ice Data Center
IGPAS (PL)
IMR (NO)
IOPAN (PL)
MET (NO)
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 / Arctic Data Centre
Last metadata update: 2022-11-15T15:00:52Z
Show more...
Abstract:
The product is based on a manual interpolation of available insitu observations. This dataset is the predecessor of the gridded ice charts based on satellite data and other sources. This dataset primarily identifies the sea ice edge.
Institutions: Norwegian Water Resources and Energy Directorate (NVE)
Last metadata update: 2022-11-15T12:01:24Z
Show more...
Abstract:
The climate change indicator products of glaciers in mainland Norway include surface mass balance and length change (from NVE’s field observations) and area changes (from satellite imagery and topographical maps) for a selection of glaciers. Glacier surface mass balance and glacier length change are obtained directly from NVE’s databases. http://glacier.nve.no/Glacier/viewer/CI/en/cc
Institutions: Norwegian Water Resources and Energy Directorate (NVE)
Last metadata update: 2022-11-15T12:01:24Z
Show more...
Abstract:
Glacier Periodic photos (GPP) from Norwegian glaciers. The photo series illustrate how the extent of a selection of Norwegian glaciers have changed. The pictures are not taken from the same position each year. The earliest photos are from the 1860s. The majority of the pictures are from the last 20 years. The number of photos per glacier varies. The source of the data is NVEs photo archive, with contributions from NVE collaborators. http://glacier.nve.no/Glacier/viewer/gpp/en/cc/
Institutions: Norwegian Water Resources and Energy Directorate (NVE)
Last metadata update: 2022-11-15T12:01:24Z
Show more...
Abstract:
Glacier Area Outline (GAO) for western Finnmark from the period 1895-1907. Source:
"Gradteigskart" constructed from land surveys between 1895-1907, three paper maps printed at a scale of 1:100 000 include the five largest ice caps - Normannsjøkelen, Seilandsjøkelen, Øksfjordjøkelen, Svartfjelljøkelen and Langfjordjøkelen. The maps were georeferenced and digitised by NVE. The maps have poorer accuracy compared to N50-maps, and rubber sheeting was needed to do a transformation. The glacier outlines are uncertain and must be taken as a rough estimate due to the poorer quality of these old maps.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:49:40Z
Show more...
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: 2022-11-15T14:49:40Z
Show more...
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.
Institutions: Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute, Norwegian Meteorological Institute
Last metadata update: 2022-11-15T14:49:40Z
Show more...
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: 2022-11-15T14:49:40Z
Show more...
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: 2022-11-15T14:49:40Z
Show more...
Abstract:
Quality controlled timeseries from Norwegian weather station 0-578-0-99790. 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: 2022-11-15T14:49:40Z
Show more...
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: 2022-11-15T14:49:40Z
Show more...
Abstract:
Quality controlled timeseries from Norwegian weather station 0-578-0-99720. Data are climate consistent following a number of automated and manual quality control routines.
Institutions: Norwegian Water Resources and Energy Directorate (NVE)
Last metadata update: 2022-11-15T12:01:24Z
Show more...
Abstract:
Glacier Area Outline (GAO) for mainland Norway from the period 1947-1985. Source: First edition N50 maps in the main map series of Norway (denoted M711 or N50) constructed from air photos taken the period 1952-1985. The original paper maps printed at a scale of 1:50 000 were scanned by Statens kartverk and then the maps were georeferenced and digitised by NVE. RMS values of less than 10 meters were obtained using the 1st order polynomial (affine) transformation.
The index of temperature and salinity is calculated by averaging the values over an area within the routinely monitored hydrographical fixed section. The data are from cruises in: January, March, June and August/September.
Institutions: University of Oslo - Department of Geosciences
Last metadata update: 2022-04-29T13:30:00Z
Show more...
Abstract:
Atmospheric variables needed to force terrestrial process models (permafrost, glacier mass balance, seasonal snow, surface energy balance), have been downscaled from the ERA 40 and ERA interim re-analyses using methodology described in the accompanying paper. The gridded dataset has a horizontal resolution of 1 km and covers the entire Svalbard archipelago. The data have a temporal resolution of 6h and cover the entire ERA40 period (1957-2002) and the ERAinterim period (1979-2016).