The SIOS Data Management Service 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 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. 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.
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Citation information is provided in the metadata for many datasets.
Institutions: Second Institute of Oceanograph,State Oceanic Administration
Last metadata update: 2009-05-25T14:00:00Z
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Abstract:
Five sites (k1,k2,k3,k4,k5) were set in Kongsfjorden in July 2007. Water samples were collected in different layers as 0m, 2m, 5m, 10m, 20m,30m,50m,75m,100m,150m and 200m.Chla were determined using the fluorometric method.
A consistent long-term (1979-2018) dataset from the Arctic meteorological site the Polish Polar Station Hornsund (77°00'N 15°33'E), located in the SW part of Spitsbergen. The Station is managed by the Institute of Geophysics Polish Academy of Sciences. The data series includes daily, monthly and annual air temperature (TA), PDD, NDD, the sum of precipitation (Precip), air humidity (RH), atmospheric pressure (PA), wind speed (WS) and direction (WD), sunshine duration (SD), cloudiness, and visibility (VV). This rich dataset, now available online, is a valuable source for documenting the state of the climate in SW Spitsbergen that represents the Atlantic sector of the Arctic. Nowhere on the planet is climate warming faster than here. With the positive trend of mean annual temperature +1.14°C/decade, the climate in Hornsund is warming five times faster than the global average. ** For all details see the full metadata description at "https://doi.pangaea.de/10.1594/PANGAEA.909042"!