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Published in 2020 at "Ecology"
DOI: 10.1002/ecy.3265
Abstract: Nitrogen and carbon stable isotope data sets are commonly used to assess complex population to ecosystem responses to natural or anthropogenic changes at regional to global spatial scales, and monthly to decadal timescales. Measured in…
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Keywords:
carbon;
carbon stable;
global data;
set nitrogen ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2947848
Abstract: Seismology is a data rich and data-driven science. Application of machine learning for gaining new insights from seismic data is a rapidly evolving sub-field of seismology. The availability of a large amount of seismic data…
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Keywords:
earthquake;
seismic signals;
seismology;
global data ... See more keywords
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Published in 2020 at "PLoS ONE"
DOI: 10.1371/journal.pone.0242923
Abstract: Many conservation managers, policy makers, businesses and local communities cannot access the biodiversity data they need for informed decision-making on natural resource management. A handful of databases are used to monitor indicators against global biodiversity…
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Keywords:
data sources;
biodiversity data;
conservation;
global data ... See more keywords
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Published in 2017 at "Current Science"
DOI: 10.18520/cs/v112/i02/370-377
Abstract: The National Centre for Medium Range Weather Forecasting (NCMRWF) conducted its first global data retrospective analysis (reanalysis) for the period 1 January 2000-31 March 2011 using its GFS based system (NGFS). This reanalysis is called…
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Keywords:
analysis;
period;
global retrospective;
global data ... See more keywords