1 distributed big data & analytics university of cincinnati – geography/climate...

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1 Distributed Big Data & Analytics University of Cincinnati – Geography/Climate Project/Research Title: Toward a Circumarctic Lakes Observation Network (CALON)-- Multiscale Observations of Lacustrine Systems Industry Sector: Geography Science Sub-domain: Climate Short Description of Project & Relation to Big Data: Expand on existing lake monitoring sites in northern Alaska by developing a network of regionally representative lakes along environmental gradients from which we will collect baseline data to assess current physical, chemical, and biological lake characteristics. Download and process hundreds of up to 1TB processed satellite image data sets with four Internet2 universities and NSF National Snow and Ice Data Center. Develop and refine data management, visualization, and archiving activities with ACADIS. Best Contact: Jane Combs, [email protected] Big Data Attributes: Satellite image data sets Aggregate Data Size: Now __1TB___, 2016 __3TB___, 2017 _____, 2020 _____

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Page 1: 1 Distributed Big Data & Analytics University of Cincinnati – Geography/Climate Project/Research Title: Toward a Circumarctic Lakes Observation Network

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Distributed Big Data & Analytics University of Cincinnati – Geography/Climate

•Project/Research Title: Toward a Circumarctic Lakes Observation Network (CALON)--Multiscale Observations of Lacustrine Systems

•Industry Sector: Geography

•Science Sub-domain: Climate

•Short Description of Project & Relation to Big Data: Expand on existing lake monitoring sites in northern Alaska by developing a network of regionally representative lakes along environmental gradients from which we will collect baseline data to assess current physical, chemical, and biological lake characteristics. Download and process hundreds of up to 1TB processed satellite image data sets with four Internet2 universities and NSF National Snow and Ice Data Center. Develop and refine data management, visualization, and archiving activities with ACADIS.

•Best Contact: Jane Combs, [email protected]

•Big Data Attributes: Satellite image data sets

•Aggregate Data Size: Now __1TB___, 2016 __3TB___, 2017 _____, 2020 _____

Page 2: 1 Distributed Big Data & Analytics University of Cincinnati – Geography/Climate Project/Research Title: Toward a Circumarctic Lakes Observation Network

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Distributed Big Data & Analytics Project Template

Page 3: 1 Distributed Big Data & Analytics University of Cincinnati – Geography/Climate Project/Research Title: Toward a Circumarctic Lakes Observation Network

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Distributed Big Data & Analytics Project Template

•Project/Research Title: Machine Tool Ball Screw Health Monitoring

•Industry Sector: Manufacturing / Industrial Machinery

•Science Sub-domain: Data Analysis / Prognostics & Health Management

•Short Description of Project & Relation to Big Data: The goal of this project is to conduct multiple run-to-failure tests using commercially available machine tool ball screws and motors to collect data and design a data driven model for health monitoring and prediction of such ball screws. Data from these tests is transferred and stored on a central server. A mobile app will be developed for monitoring these tests.

•Best Contact: Professor Jay Lee

•Big Data Attributes: Sensor, Near Real-time

•Aggregate Data Size: Now __5TB___, 2016 __15TB___, 2017 __30TB___, 2020 _____