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Found 81 result(s)
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The vision of the JaLTER is to provide scientific knowledge which contributes to conservation, advancement and sustainability of environment, ecosystem services, productivity and biodiversity for a society by conducting long-term and interdisciplinary research in ecological science including human dimensions. The JaLTER is closely linked with the International Long-Term Ecological Research Network (ILTER Network).
Country
Finnish Meteorological Institute (FMI) research data repository METIS is provided by EUDAT and enables the institute data to be preserved, discovered, and accessed. FMI covers a wide range of research on weather, sea, climate and space. According to the FMI's Research Data policy , publicly funded research data must be made available to the widest possible audience (under CC BY license, at the minimum), as the best way to maximize the data impact but also to do justice to all the hard labor put into collecting, cleaning, and analyzing the data.
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SISMER (Scientific Information Systems for the Sea) is Ifremer's service in charge of managing numerous marine databases and information systems which Ifremer is responsible for implementing. The information systems managed by SISMER range from CATDS (SMOS satellite data) to geoscience data (bathymetry, seismics, geological samples), not forgetting water column data (physics and chemistry, data for operational oceanography – Coriolis - Copernicus CMEMS), fisheries data (Harmonie), coastal environment data (Quadrige 2) and deep-sea environment data (Archimède). SISMER therefore plays a pivotal role in marine database management both for Ifremer and for many national, European and international projects.
Data repository of a meteorological experiment conducted in Perdigão, Portugal between December 15, 2016 to June 15, 2017. The Perdigao field project is part of a larger joint US/European multi-year program in Portugal. The project is partially funded by the European Union (EU) ERANET+ to provide the wind energy sector with more detailed resource mapping capabilities in the form of a new digital EU wind atlas. A major goal of the Perdigão field project is to quantify errors of wind resource models against a benchmark dataset collected in complex terrain. The US participation will complement this activity by identifying physical and numerical weaknesses of models and developing new knowledge and methods to overcome such deficiencies.