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State of FAIRness in ESFRI Projects 被引量:3
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作者 Peter Wittenburg Franciska de Jong +7 位作者 Dieter van Uytvanck Massimo Cocco Keith Jeffery Michael Lautenschlager Hannes Thiemann Margareta Hellstrom Ari Asmi petr holub 《Data Intelligence》 2020年第1期230-237,316,共9页
Since 2009 initiatives that were selected for the roadmap of the European Strategy Forum on Research Infrastructures started working to build research infrastructures for a wide range of research disciplines.An import... Since 2009 initiatives that were selected for the roadmap of the European Strategy Forum on Research Infrastructures started working to build research infrastructures for a wide range of research disciplines.An important result of the strategic discussions was that distributed infrastructure scenarios were now seen as“complex research facilities”in addition to,for example traditional centralised infrastructures such as CERN.In this paper we look at five typical examples of such distributed infrastructures where many researchers working in different centres are contributing data,tools/services and knowledge and where the major task of the research infrastructure initiative is to create a virtually integrated suite of resources allowing researchers to carry out state-of-the-art research.Careful analysis shows that most of these research infrastructures worked on the Findability,Accessibility,Interoperability and Reusability dimensions before the term“FAIR”was actually coined.The definition of the FAIR principles and their wide acceptance can be seen as a confirmation of what these initiatives were doing and it gives new impulse to close still existing gaps.These initiatives also seem to be ready to take up the next steps which will emerge from the definition of FAIR maturity indicators.Experts from these infrastructures should bring in their 10-years’experience in this definition process. 展开更多
关键词 INFRASTRUCTURE FAIR Metrics GO FAIR Matrix
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Effect of repeated spring drought and summer heavy rain on managed grassland biomass production and CO_(2) efflux
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作者 Eva Darenova petr holub +1 位作者 Lenka Krupkova Marian Pavelka 《Journal of Plant Ecology》 SCIE CSCD 2017年第3期476-485,共10页
Aims Ecosystem respiration represents an important component of the carbon cycle.The response of respiration to climate change can have a significant effect on carbon sequestration in terrestrial ecosystems in the fut... Aims Ecosystem respiration represents an important component of the carbon cycle.The response of respiration to climate change can have a significant effect on carbon sequestration in terrestrial ecosystems in the future when,according to climate scenarios,spring drought and consequent summer heavy rains are expected.Aims of our study were to determine the effect of repeated spring drought on biomass production and CO_(2) efflux from a mountain grassland in Beskydy Mountains in the Czech Republic and to evaluate factors driving the differences among the study years.Methods CO_(2) efflux was measured on plots with ambient precipitation con-ditions(AMB)and on plots where drought conditions(DRY)in the first half of the growing seasons and consequent heavy rain were simulated in 2011-14.Important Findings The spring drought significantly decreased the amount of above-ground biomass sampled just after the simulated drought in all years except for 2014.On the contrary,the spring drought stimulated root production.The drought also resulted in a rapid decrease in CO_(2) efflux.It was lower by up to 46%for the DRY treatment compared to AMB treatment.After the sim-ulated drought period,differences in CO_(2) efflux between the treatments gradually decreased.Simulated heavy rains in DRY resulted in fast but temporary increase in CO_(2) efflux.We can assume that the future spring drought will have a significant effect on carbon balance of grassland eco-systems.The impact will depend on the length of the dry period and the time between the beginning of the growing season and the dry period. 展开更多
关键词 above-ground biomass Beskydy Mountains rainfall manipulation RESPIRATION rainout shelters root biomass
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