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We describe a methodology for integrating these databases into a uniform dataset for modeling bird habitat relationships at multiple spatial scales.
Effort has been made to integrate data collection between agencies such as hospitals, MIROS, and the police force which has a uniform dataset definition.
In the PWING project, we expect to use quite a uniform dataset for comparison of the waves at different local times.
Section "CMEs in the SOHO Era" summarizes the exponential growth of knowledge on CMEs, aided by the continuous and uniform dataset obtained by SOHO.
These results underline that the investigated trees are affected by a common climatic factor, i.e. drought, and that our sampling of co-/dominant trees resulted in a uniform dataset without much inter-tree variability.
Using a uniform dataset of 426 non-homologues proteins (BT426) they obtained a Matthews correlation coefficient of 0.43.
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We have presented strong scaling results for uniform datasets on up to 512K cores on Blue Waters evolving 12 and 24 billion particles.
Development of accurate models of GRper require extensive and uniform datasets covering wide ranges in stand conditions so that functional forms can be adequately characterised.
While the scaling of the multi-stepping run is not as good as single stepping, the throughput at 128K cores is greater by a factor of 2. We also demonstrate strong scaling on up to 512K cores of Blue Waters for two large, uniform datasets with 12 and 24 billion particles.
The general trend observed in the uniform datasets persists also in the nonuniform datasets.
The accuracy of CRM2 in the uniform datasets result very good.
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