Any application requires many datasets

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Any application requires many datasets Any dataset can be used for many applications Informi ng the Public Health Effects Climate Impact Science & Educati on Current State: There is and energy/environmental data glut But the data are not used effectively for societal benefit Population Energy/ Fuels Satellite Obs. Pollution Monitoring

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Any application requires many datasets. Current State: There is and energy/environmental data glut But the data are not used effectively for societal benefit. Any dataset can be used for many applications. Population. Informing the Public. Health Effects. Energy/Fuels. Climate Impact. - PowerPoint PPT Presentation

Transcript of Any application requires many datasets

Page 1: Any application requires many datasets

Any application requires many datasets

Any dataset can be used for many applications

Informing the Public

Health Effects

Climate Impact

Science & Education

Current State: There is and energy/environmental data glut

But the data are not used effectively for societal benefit

Population

Energy/Fuels

Satellite Obs.

Pollution Monitoring

Page 2: Any application requires many datasets

Distributed Knowledge Providers

Distributed Data

Providers

Infrastructure for

sharing and collaboration

Data, Models

Emission

Model

Satellite

Monitorig Network

Data Pool Benefits

Informing the Public

Health Effects

Climate Impact

Science & Education

Std. Tools Special Tools

IITs - MAGEEP

Global Observing System of Systems (GEOSS): An Existing Global Scale Infrastructure for Energy-Environmental Information:

ITTs through MAGEEP can be major contributors and beneficiaries of the GEOSS

infrastructure Contacts: [email protected], [email protected]

mailto:[email protected]
mailto:[email protected]

Citing Datasets

Citing Datasets

Scalable Machine Learning for Massive Astronomical Datasets · THE MACHINE LEARNING COMPANY ® Conclusions • Large astronomy data requires advanced analysis • For exascale, both

Scalable Machine Learning for Massive Astronomical Datasets · THE MACHINE LEARNING COMPANY ® Conclusions • Large astronomy data requires advanced analysis • For exascale, both

K. Punitha, B. Latha -fuzzy sustava s Naive Bayes ISSN ... · software defect have lesser defective modules than the defect-free datasets [11]. As many of the datasets are found to

K. Punitha, B. Latha -fuzzy sustava s Naive Bayes ISSN ... · software defect have lesser defective modules than the defect-free datasets [11]. As many of the datasets are found to

Large aCGH Datasets

Large aCGH Datasets

Hawaii LIDAR Datasets

Hawaii LIDAR Datasets

Using Curated Datasets

Using Curated Datasets

Uncertainty in eddy covariance datasets Dario Papale, Markus Reichstein, Antje Moffat, Ankur Desai, many others..

Uncertainty in eddy covariance datasets Dario Papale, Markus Reichstein, Antje Moffat, Ankur Desai, many others..

Anticoagulation Reversal: New Agents and Alternative Therapiesndshp.org/resources/Documents/NDSHP 8.18... · •Reversal of oral anticoagulation requires many considerations, many

Anticoagulation Reversal: New Agents and Alternative Therapiesndshp.org/resources/Documents/NDSHP 8.18... · •Reversal of oral anticoagulation requires many considerations, many

A Bad Cause Requires Many Words

A Bad Cause Requires Many Words

k-means Requires Exponentially Many Iterations …cseweb.ucsd.edu/~avattani/papers/kmeans-journal.pdf · k-means Requires Exponentially Many Iterations Even in the Plane ... most

k-means Requires Exponentially Many Iterations …cseweb.ucsd.edu/~avattani/papers/kmeans-journal.pdf · k-means Requires Exponentially Many Iterations Even in the Plane ... most

Basic SAS skills - Northwestern University · Basic SAS skills January 21, 2007 . Why SAS? • Can deal with very large datasets – I/O • All datasets in WRDS are in SAS • Many

Basic SAS skills - Northwestern University · Basic SAS skills January 21, 2007 . Why SAS? • Can deal with very large datasets – I/O • All datasets in WRDS are in SAS • Many

EDF 2012 Datasets

EDF 2012 Datasets

Performing DRD Functions Within an IMS Transaction · 2011. 7. 13. · SPOC Overview •TSO access is via ISPF •Requires IMS datasets •SDFSCLST, SDFSDATA, SDFSEXEC, SDFSMLIB,

Performing DRD Functions Within an IMS Transaction · 2011. 7. 13. · SPOC Overview •TSO access is via ISPF •Requires IMS datasets •SDFSCLST, SDFSDATA, SDFSEXEC, SDFSMLIB,

Datasets with bioschemas

Datasets with bioschemas

8 Many-to-Many Feature Matching in Object Recognitionsven/Papers/cogvis.pdfrecognition therefore requires the ability to match features many-to-many. In this paper, we will review

8 Many-to-Many Feature Matching in Object Recognitionsven/Papers/cogvis.pdfrecognition therefore requires the ability to match features many-to-many. In this paper, we will review

Session 1: Core Pharmaceutical Datasets Retail and Non … · Session 1: Core Pharmaceutical Datasets ... Learn about core pharmaceutical datasets ‐retail and ... – Restricted

Session 1: Core Pharmaceutical Datasets Retail and Non … · Session 1: Core Pharmaceutical Datasets ... Learn about core pharmaceutical datasets ‐retail and ... – Restricted

0 - datasets

0 - datasets

Consumer Survey Datasets

Consumer Survey Datasets

Lesson 6 - Topics Reading SAS datasets Subsetting SAS datasets Merging SAS datasets.

Lesson 6 - Topics Reading SAS datasets Subsetting SAS datasets Merging SAS datasets.

Multiple volumetric datasets

Multiple volumetric datasets