omic, and simulation datasets across different semantic, spatial, and temporal scales 3. link diverse data to novel HPC simulation 1. 1. Custom 1. custom 1. phone based -- -- 1. phone heterogeneous Software: software like input and access based input DOE-BER Diverse data EddyPro, EddyPro and and access AmeriFlux with different Custom analysis analysis software and domains and software, R, like R, python, FLUXNET scales, python, neural neural netowrks, Networks Translation networks, Matlab Matlab across diverse 2. analytics datasets that includes data cross domains mining, data and scales quality 2. link to many assessment, other cross-correlation environment across datasets, 50 and biology data assimilation, datasets data 3. link to HPC interpolation, Climate and statistics, quality other assessment, data simulations fusion, etc. 4. link to European data sources and projects 5. access data from 500 distributed sources 1. diverse data 1. new machine 1. SQL -- 1. privacy and -- 1. mobile from Smart learning analytics databases, CVS anonymization access for Grid sensors, to predict files, HDFS by aggregation clients City planning, consumption (platform) 51 forecasting weather, 2. R/Matlab, in Smart utilities 2, data Weka, Hadoop Grids updated every (platform) 15 minutes Use Case Detail Requirements To assist in interpreting this section of the report: This section is first organized by category [Data Sources, Transformation, etc.] Within each category is a list of numbered requirement statements.
omic, and simulation datasets across different semantic, spatial, and temporal scales 3. link diverse data to novel HPC simulation 50 DOE-BER AmeriFlux and FLUXNET Networks 1. heterogeneous Diverse data with different domains and scales, Translation across diverse datasets that cross domains and scales 2. link to many other environment and biology datasets 3. link to HPC Climate and other simulations 4. link to European data sources and projects 5. access data from 500 distributed sources 1. Custom Software: EddyPro, Custom analysis software, R, python, neural networks, Matlab 1. custom software like EddyPro and analysis software like R, python, neural netowrks, Matlab 2. analytics includes data mining, data quality assessment, cross-correlation across datasets, data assimilation, data interpolation, statistics, quality assessment, data fusion, etc. 1. phone based input and access -- -- 1. phone based input and access 51 forecasting in Smart Grids 1. diverse data from Smart Grid sensors, City planning, weather, utilities 2, data updated every 15 minutes 1. new machine learning analytics to predict consumption 1. SQL databases, CVS files, HDFS (platform) 2. R/Matlab, Weka, Hadoop (platform) -- 1. privacy and anonymization by aggregation -- 1. mobile access for clients Use Case Detail Requirements To assist in interpreting this section of the report: This section is first organized by category [Data Sources, Transformation, etc.] Within each category is a list of numbered requirement statements.