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Related Concept Videos

Buoyancy01:12

Buoyancy

When an object is placed in a fluid, it either floats or sinks. All objects in a fluid experience a buoyant force. For example, a metal ball sinks, while a rubber ball floats. Similarly, a submarine can sink and float by adjusting its buoyancy.  The concept of buoyancy raises several interesting questions. For instance, where does this buoyant force come from? How much buoyant force is required to make an object sink or float? Do objects that sink get any support at all from the fluid? 
To get...
Buoyancy and Stability for Submerged and Floating Bodies01:11

Buoyancy and Stability for Submerged and Floating Bodies

In fluid mechanics, buoyancy and stability are key concepts for understanding the behavior of submerged and floating bodies. When a stationary body is fully or partially submerged in a fluid, the fluid exerts a force on the body known as the buoyant force. This force acts vertically upward through a point called the center of buoyancy, which is the center of the displaced fluid volume. According to Archimedes' principle, the magnitude of the buoyant force is equal to the weight of the fluid...
Censoring Survival Data01:09

Censoring Survival Data

Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different reasons...
Precipitation Gravimetry01:03

Precipitation Gravimetry

Precipitation gravimetry is based on converting an analyte into a sparingly soluble precipitate, which is separated by filtration and weighed. An ideal precipitate should be pure, insoluble, of known composition, and easily filtered from the reaction mixture.
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...

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Staying afloat in the sensor data deluge.

John H Porter1, Paul C Hanson, Chau-Chin Lin

  • 1Department of Environmental Sciences, University of Virginia, 291 McCormick Road, Charlottesville, VA 22904-4123, USA. jporter@virginia.edu

Trends in Ecology & Evolution
|December 31, 2011
PubMed
Summary

New sensor technology creates a data deluge, requiring advanced methods to manage and analyze massive environmental datasets for scientific discovery. This study reviews innovative approaches for global lake sensor data analysis.

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Area of Science:

  • Environmental Science
  • Data Science
  • Sensor Technology

Background:

  • Advancements in sensor design, electronics, computing, and networking enable unprecedented environmental data collection rates.
  • The resulting 'data deluge' presents significant challenges for scientific knowledge extraction.
  • Effective management and analysis of massive datasets are crucial for environmental research.

Purpose of the Study:

  • To review the experience of a large project in ingesting and analyzing sensor data from global lakes.
  • To provide a synopsis of innovative approaches for managing and analyzing massive environmental data volumes.
  • To address the information management and analytical challenges posed by big environmental data.

Main Methods:

  • Ingestion of sensor data from global lake monitoring networks.
  • Application of innovative data integration and processing techniques.
  • Analysis of massive datasets using advanced computational methods.

Main Results:

  • Demonstrated feasibility of ingesting and processing large-scale environmental sensor data.
  • Identified key challenges in data management and analysis for global environmental projects.
  • Highlighted successful innovative approaches for handling massive data volumes.

Conclusions:

  • Effective data management and analysis strategies are essential to leverage the potential of environmental sensor networks.
  • Continued development of advanced analytical tools is necessary to translate big data into scientific insights.
  • The presented approaches offer a roadmap for future environmental big data initiatives.