Sentences with phrase «system science data»

uses student - and citizen science - friendly microsets of authentic NASA Earth system science data from the MY NASA DATA project.

How do we effectively visualize Earth system science data?

Earth System Science Data, 9 (1), 63 — 76.

This lesson... (View More) uses student - and citizen science - friendly microsets of authentic NASA Earth system science data from the MY NASA DATA project.

This lesson uses student - and citizen science - friendly microsets of authentic NASA Earth system science data from the MY NASA DATA project.

Their paper, «Global Carbon Budget 2016», published in Earth System Science Data, comes in 16th for 2016.

The new data is published in the journal Earth System Science Data.

It is a manuscript under review for the journal Earth System Science Data (ESSD).

Earth System Science Data (2014)

Dr. Carlson is currently serving as Chief Editor for Earth System Science Data, a journal he founded with Dr. Han Pfeiffenberger.»

Along with the article in Nature Climate Change, detailed data were made available simultaneously in the journal Earth System Science Data.

The findings, which have just been published in three separate scientific journals — Earth System Science Data, Environmental Research Letters and Nature Climate Change — will also be presented today at the U.N. climate conference in Bonn, Germany.

In addition to the analysis published in Nature Climate Change, the scientists working under the Global Carbon Project umbrella published a more detailed technical analysis of the world's CO2 emissions yesterday in the journal Earth System Science Data Discussions.

A paper about the work was published in the journal Earth System Science Data.

Not exact matches

Earlier this month, social science researchers published an analysis of mortality data from the Puerto Rico Vital Statistics System to compare the historical death averages for September and October to deaths this year.

John Sculley has domain expertise in data science innovation, predictive analytics, consumer brand building, supply chain systems, and growth equity investing.

Mr. Sculley's domain expertise includes data science innovation, predictive analytics, consumer brand building, supply chain systems, and growth equity investing.

In science, the therm «theory» is reserved for a system has stood intense experimental scrutiny and has successfully explained all of the data.

The partnership will establish a collaborative relationship where Le Moyne's Madden School of Business students have access to SU in the areas of data science and information security management, while SU students gain access to Le Moyne's health information systems and enterprise systems resources.

As associate professor and first - author Johan Bollen writes in an e-mail to Science Careers, they wanted their new system to «enable scientists to set their own priorities, fund scientists... not projects, avoid proposal writing and reviewing, avoid administrative burdens, encourage all scientists to participate collectively in the definition of scientific priorities, encourage innovation, reward scientists that make significant contributions to data, software, methods, and systems, avoid funding death spirals (no funding - > no research - > no funding) but still reward high levels of productivity, create the proper incentives for scholarly communication (publishing to communicate, not to improve bibliometrics), enable funding of daring and risky research, and so on.»

Millan, a UCI graduate student researcher in Earth system science, and his colleagues analyzed 20 major outlet glaciers in southeast Greenland using high - resolution airborne gravity measurements and ice thickness data from NASA's Operation IceBridge mission; bathymetry information from NASA's Oceans Melting Greenland project; and results from the BedMachine version 3 computer model, developed at UCI.

While large - scale climate research models offer a systems view of what the transport sector, for example, could contribute to climate protection in comparison to the energy sector, the study presented in Science, however, examines transport - related issues within the sector by using more recent and more specific data on how people commute and travel.

The following Berkeley Lab researchers also contributed to the study: Benjamin Bowen, a member of Northen's lab in EGSB and at the Joint Genome Institute, a DOE Office of Science User Facility, helped analyze metabolomics data; Ulas Karaoz in the Earth and Environmental Sciences Area (EESA) analyzed metagenomics data; and Joel Swenson, a former postdoctoral researcher in Biosciences» Biological Systems and Engineering Division, helped conduct correlation and statistical analyses.

«Using more recent data and better analysis methods we have been able to re-examine the global weather balloon network, known as radiosondes, and have found clear indications of warming in the upper troposphere,» said lead author ARC Centre of Excellence for Climate System Science Chief Investigator Prof Steve Sherwood.

«Big science needs a lot of compute power — right now we're designing systems to manage data for several large facilities around the world and the next generation of radio telescopes, including China's 500m radio telescope, the Square Kilometre Array and the SKA's pathfinder telescopes that are already up and running in outback Western Australia.»

Led by Sudha Ram, a UA professor of management information systems and computer science, and Dr. Yolande Pengetnze, a physician scientist at the Parkland Center for Clinical Innovation in Dallas, the researchers looked specifically at the chronic condition of asthma and how asthma - related tweets, analyzed alongside other data, can help predict asthma - related emergency room visits.

To push the field further, cell biologists have begun borrowing machine - learning and data - mining tools from computer science, while engineers are designing imaging and microscopy systems that enable entirely novel analyses.

Those systems are gradually replacing clinic - centered healthcare, and we wanted to find a unique solution to protect sensitive personal health data with something simple, available and cost - effective,» said Zhanpeng Jin, assistant professor in the Department of Electrical and Computer Engineering at the Thomas J. Watson School of Engineering and Applied Science at Binghamton University.

«The data from these games will help us better understand how to use multi-robot systems with massive populations to perform coordinated, complex tasks,» said lab director James McLurkin, assistant professor of computer science at Rice.

They tested their system on a pair of yeast transcription factors and used the data to predict which yeast genes the proteins would target, they report in this week's Science.

The team, from the UW's Paul G. Allen School of Computer Science & Engineering, showed how it is possible to collect such detailed data on personal activity using CovertBand, software code they created to turn smart devices into active sonar systems.

We supplemented information from IMPAC II with institutional information from the Department of Education Integrated Postsecondary Education Data System (IPEDS); investigator information from the NIH Doctoral Record File (DRF), which is derived from the National Science Foundation Survey of Earned Doctorates (SED), a census of doctorates awarded in the U.S. since 1974; and faculty data from the Association of American Medical Colleges (AAMC) Faculty RosData System (IPEDS); investigator information from the NIH Doctoral Record File (DRF), which is derived from the National Science Foundation Survey of Earned Doctorates (SED), a census of doctorates awarded in the U.S. since 1974; and faculty data from the Association of American Medical Colleges (AAMC) Faculty Rosdata from the Association of American Medical Colleges (AAMC) Faculty Roster.

The International Centre for Science in Drug Policy has analysed data from seven international drug surveillance systems and says that the street price of drugs such as heroin and cocaine has fallen since 1990, even as their potency has increased (BMJ Open, doi.org/n3j).

When Richard C. Willson of the Jet Propulsion Laboratory and Columbia University's Center for Climate Systems Research analyzed the data in the September 26, 1997 issue of Science, he noticed an increase in TSI of 0.036 percent from the previous minimum in 1986.

Its instrument was built by a consortium including Caltech; JPL; the University of California, Berkeley; Columbia University, New York; NASA's Goddard Space Flight Center, Greenbelt, Md.; the Danish Technical University in Denmark; Lawrence Livermore National Laboratory, Livermore, Calif.; ATK Aerospace Systems, Goleta, Calif., and with support from the Italian Space Agency (ASI) Science Data Center.

NASA Ames manages Kepler's ground system development, mission operations and science data analysis.

«For the first time data mining, database management, complex systems, transport, energy and computer science have all come together to find practical solutions for mobility» says Janssens.

Coauthors of the study are Assaf Gordon at NYGC; Daniel Speyer at Columbia Engineering and NYGC; Robert Piccone at Columbia's Data Science Institute and Simon Cornelis Groen, at NYU's Center for Genomics and Systems Biology.

The data used for the studies was collected by the Tobacco Center of Regulatory Science on Youth and Young Adults (Texas TCORS), a center created by several of The University of Texas System institutions to develop research that can guide future decisions on tobacco regulations at the national level.

«The [Europeans] are better at this because their simulation system is better, and they use more data than we do,» says Cliff Mass, a professor of atmospheric sciences at the University of Washington.

In 1998, Readdy, then deputy associate NASA administrator for space operations, helped arrange for the National Science Foundation (NSF) to repurpose satellites in the Tracking and Data Relay Satellite System (TDRSS) for communications support in Antarctica.

Ames is responsible for the Kepler mission concept, ground system development, mission operations and science data analysis.

The resources were provided through the NSF - supported Extreme Science and Engineering Discovery Environment (XSEDE) program, which acts as a single virtual system that scientists can use to interactively share computing resources, data and expertise.

As biological data is becoming more abundant and available, data - driven analytics methods and high - performance computing systems are becoming more useful in suggesting novel hypotheses for life sciences experiments and discovery.

The new work calls into question the longstanding computer science tenet that software can automatically trust hardware sensors, which feed autonomous systems with fundamental data they need to make decisions.

The GRAIL data also suggest that astronomers should not use measurements of the basins on the nearside of the moon to draw conclusions about the rate at which craters struck the planets of the inner solar system 4 billion years ago, the researchers report November 8 in Science.

As the lead researcher for the National Science Foundation (NSF) supported «Privacy Tools for Sharing Research Data,» Vadhan and his team at Harvard are developing a new computer system that acts as a trusted curator — and identity protector — of sensitive, valuable, dData,» Vadhan and his team at Harvard are developing a new computer system that acts as a trusted curator — and identity protector — of sensitive, valuable, datadata.

Co-author Dr Gavin Foster, a Reader in Ocean and Earth Science at the University of Southampton, who is based at the National Oceanography Centre, Southampton (NOCS), explains: «Geological data showed that sea level would likely rise by nine metres or more as the climate system adjusts to today's greenhouse effect.

The Space Telescope Science Data Analysis System (STSDAS) is a software package for reducing and analyzing astronomical dData Analysis System (STSDAS) is a software package for reducing and analyzing astronomical datadata.

Whereas knowledge of space weather conditions at different planetary systems is a requisite for future mission planning, the scientific data to be obtained by these missions are going to provide in turn an important feedback for interdisciplinary science in the field of planetary space weather.