Not exact matches
This «next -
generation sampling» approach of pairing genomics with large -
scale herbarium sampling showed considerable promise as sufficient
data were obtained for 98 % of samples,
data which identified genetic groups that frequently matched morphologically defined species.
In this study, the team first set up and validated CLM4 in terms of runoff
generation at the global
scale; then, they calibrated the parameters associated with the irrigation module that features dynamic groundwater pumping in CLM4 at the global
scale against water use
data compiled by the Food and Agricultural Organization (FAO) from census information.
The comprehensive
data, spatial extent and remote sensing technology provided by NEON will enable a large and diverse user community to tackle new questions at
scales not accessible to previous
generations of ecologists.
Dr. Li's research interests focus on machine learning, bioinformatics, and statistical
data mining in large
scale data in biomedical research, such as next
generation sequencing
data (whole genome sequencing, RNA - seq, microarray
data), in the file.
«The proteomics field is now entering a third
generation phase where large -
scale protein analysis will provide unique quantifiable
data on a subcellular level «says one of the participants in the EU funded PROSPECTS project Dr. Emma Lundberg from the Science for Life Laboratory Stockholm.
Michael Schatz is a computational biologist and an expert at large -
scale computational examination of DNA sequencing
data, including the alignment, assembly, and analysis of next -
generation sequencing reads.
The National Genomics Infrastructure (NGI) hosted at SciLifeLab offers large -
scale DNA sequence
data generation and analysis.
Additional testing is essential to confirm the validity of this
data on a larger
scale if we are to avoid compromising the health and well - being of an entire
generation.»
With the push for development of longitudinal
data systems during the pit of the Great Recession, many issues surrounding the Common Core State Standards Initiative and its «next
generation» tests were not fully vetted in the arena of public opinion partially because it became a «best practice» to «not engage in large
scale, open forums.»
As to the rest, well, using easily available
data I ginned up a rough graph of Texas CO2, GDP, wind (both capax & gen), and total
generation,
scaled suitably to be able to eyeball trends.
Although EIA has provided annual estimates of capacity and
generation for small -
scale PV systems at the national level in the Annual Energy Outlook for many years, it has not previously developed monthly state - level estimates for small -
scale PV that could be integrated with EIA
data for utility -
scale generation and capacity.
To make comprehensive estimates of monthly
generation for all small -
scale solar PV at the state level, EIA developed methods that use the
data it collects from electric utilities and third - party owners (TPOs) in conjunction with other information.
Using the latest available national
data on power
generation, this most recent look at
data on annual and quarterly electricity
generation nationwide from the Energy Democracy Initiative at ILSR illustrates how small -
scale, distributed solar energy stacks up against its big, fossil fuel and utility -
scale renewable energy competitors.
Recommendations: To facilitate a timely global synthesis of uniform reconstructions that includes areas where
data coverage is relatively sparse, the PAGES 2k community recommends the reconstruction of climate means over large -
scale (subcontinental and oceanic) areas, while parallel progress is made in developing the next
generation of CFR methods.
At a minimum, the project must include
generation of lab -
scale data, or must provide pre-existing
data, showing the potential value of the advanced technologies through the project system analyses.
A significant share of
generation from biomass and solar photovoltaic resources occurs in the end - use industrial, residential, and commercial sectors and is not included in the utility -
scale electric power
data presented here.
Specific developments here are the continued penetration of distributed, non-dispatchable
generation technologies, the emergence of local microgrid operating systems, and new roles for intelligent grid technologies, web - connected electrical devices, and large -
scale data analytics.
We have active projects in archival storage, scalable distributed indexing, large -
scale distributed storage systems, file systems for next -
generation storage devices, and
data deduplication.
BitcoinAverage pricing
data includes access and services supporting individuals to larger
scale developments featuring WebSocket and custom index
generation tools.
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