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Neotoma is a multiproxy paleoecological database that covers the Pliocene-Quaternary, including modern microfossil samples. The database is an international collaborative effort among individuals from 19 institutions, representing multiple constituent databases. There are over 20 data-types within the Neotoma Paleoecological Database, including pollen microfossils, plant macrofossils, vertebrate fauna, diatoms, charcoal, biomarkers, ostracodes, physical sedimentology and water chemistry. Neotoma provides an underlying cyberinfrastructure that enables the development of common software tools for data ingest, discovery, display, analysis, and distribution, while giving domain scientists control over critical taxonomic and other data quality issues.
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"Seanoe (SEA scieNtific Open data Edition) is a publisher of scientific data in the field of marine sciences. It is operated by Ifremer (http://wwz.ifremer.fr/). Data published by SEANOE are available free. They can be used in accordance with the terms of the Creative Commons license selected by the author of data. Seance contributes to Open Access / Open Science movement for a free access for everyone to all scientific data financed by public funds for the benefit of research. An embargo limited to 2 years on a set of data is possible; for example to restrict access to data of a publication under scientific review. Each data set published by SEANOE has a DOI which enables it to be cited in a publication in a reliable and sustainable way. The long-term preservation of data filed in SEANOE is ensured by Ifremer infrastructure. "
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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.