Sentences with phrase «largest global dataset»

The research team created the largest global dataset to date of two diverse taxa in cities: birds (54 cities) and plants (110 cities).

«It's just a simple question, but it required a large global dataset to answer,» Balch said.

Not exact matches

«You can think of it as aggregate informatics analysis, where the properties of a single compound are captured approximately and resources are aimed toward understanding global trends within the large datasets,» says Alexander Balatsky, Professor of Theoretical Physics at KTH.

The Global SYMPLICITY Registry is the first and largest dataset of patients with uncontrolled hypertension treated with renal denervation.

The MRC Centre for Genomics and Global Health (CGGH) is supporting MalariaGEN by developing web - based applications for sharing and analysing large genomic datasets, and by helping to build research capacity for genetic epidemiology research in malaria - endemic regions.

Pathogens do not recognise geographical boundaries, so it is essential that researchers around the world can efficiently build, share and analyse large and complex datasets to generate an overview of global diversity in pathogen populations.

The scientists who based their research on the information given by satellites stated that the changes result in the global scale warming, which is bout 30 percent larger than their previous version of the dataset, as Independent noted.

Barrows has directed global microplastic pollution research since 2013, developing the most diverse and largest known dataset available to - date.

The Berkeley Earth group use the Global Historical Climatology Network dataset, but they have combined it with several other datasets to create a much larger dataset than any of the others.

The main dataset is known as the Global Historical Climatology Network (GHCN), but a large component of this dataset is also available as a separate dataset called the U.S. Historical Climatology Network (USHCN).

As Robert Way pointed out in the comments under her post, Lewis and Curry used a global temperature dataset which has a known cool bias because large portions of the Arctic are excluded.

The global HadCRUT4 dataset, updated through July 31, 2013, reveals little warming over 15 years despite the huge influx of human CO2 emissions and the subsequent large growth in atmospheric CO2 levels

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They are perhaps the largest uncertainty in our understanding of climate change, owing to disagreement among climate models and observational datasets over what cloud changes have occurred during recent decades and will occur in response to global warming2, 3.

But as this Holland dataset confirms, the actual empirical global and regional trends of a climatic shift of ever more severe weather events do not support the alarmists» predictions; the irrational fears of more frequent / larger weather disasters as a result of CO2 or global / regional «warming» is unjustified, per the scientific evidence.

Annual global temperature variations derived from these datasets typically agree to better than 0.1 °C for recent decades, but the spread in values has been larger than this for the last two years.

The spread in the global averages from various temperature datasets was unusually large in 2016 and 2017, and some datasets rank 2017 colder than 2015.