Jove
Visualize
Contact Us

Related Concept Videos

Data Collection by Observations01:08

Data Collection by Observations

Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
Sensory Perception: Organization of the Somatosensory System01:11

Sensory Perception: Organization of the Somatosensory System

The somatosensory system is the central and peripheral nervous system component that senses and processes touch, pressure, pain, temperature, and body position or proprioception. The process of sensation takes place at three levels:
The receptor level:
The receptor level is the first stage of sensation. It involves the detection of a stimulus by specialized sensory receptors. The stimulus must arrive within the receptor's receptive field. Next, the receptor converts the energy of the stimulus...
What is a Sensory System?01:31

What is a Sensory System?

Sensory systems detect stimuli—such as light and sound waves—and transduce them into neural signals that can be interpreted by the nervous system. In addition to external stimuli detected by the senses, some sensory systems detect internal stimuli—such as the proprioceptors in muscles and tendons that send feedback about limb position.
Data Reporting and Recording01:24

Data Reporting and Recording

Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
Microbial Biosensors01:17

Microbial Biosensors

Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...
Naturalistic Observations02:30

Naturalistic Observations

If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

An Open Distributed Architecture for Sensor Networks for Risk Management.

Sensors (Basel, Switzerland)·2016
Same author

From Sensor to Observation Web with environmental enablers in the Future Internet.

Sensors (Basel, Switzerland)·2011
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: May 24, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Sharing Sensor Data with SensorSA and Cascading Sensor Observation Service.

Denis Havlik1, Thomas Bleier, Gerald Schimak

  • 1Austrian Institute of Technology, Donau-City Straße 1, A1220 Vienna, Austria; E-Mails: thomas.bleier@ait.ac.at (T.B.); gerald.schimak@ait.ac.at (G.S.).

Sensors (Basel, Switzerland)
|February 21, 2012
PubMed
Summary

The cascading Sensor Observation Service (SOS-X) prototype enhances the Open Geospatial Consortium Sensor Web Enablement architecture by enabling data reformatting, merging, and on-the-fly derivation of new datasets from multiple sources.

Keywords:
Global Earth Observation System of Systems (GEOSS)Global Monitoring for Environment and Security (GMES)OGC Sensor Web Enablement (OGC-SWE)ORCHESTRAOpen Geospatial Consortium (OGC)SANY IPSensor Observation Service (SOS)UWEDATcascading SOSdata acquisitionevents driven architectureservice oriented architecture

More Related Videos

Façade-Level Monitoring of CO2 Variability under Urban Heat Island Conditions using Low-Cost Sensor Data Loggers
07:12

Façade-Level Monitoring of CO2 Variability under Urban Heat Island Conditions using Low-Cost Sensor Data Loggers

Published on: December 12, 2025

Related Experiment Videos

Last Updated: May 24, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Façade-Level Monitoring of CO2 Variability under Urban Heat Island Conditions using Low-Cost Sensor Data Loggers
07:12

Façade-Level Monitoring of CO2 Variability under Urban Heat Island Conditions using Low-Cost Sensor Data Loggers

Published on: December 12, 2025

Area of Science:

  • Geospatial Information Science
  • Sensor Networks
  • Data Integration

Background:

  • The Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) architecture facilitates access to sensor data.
  • Existing SWE services can present limitations in data accessibility and integration.
  • The SANY IP consortium developed service prototypes to extend SWE usability.

Purpose of the Study:

  • To introduce the "cascading SOS" (SOS-X) service prototype.
  • To detail SOS-X's capabilities in accessing and processing sensor data.
  • To discuss the development status, future agenda, and potential applications of SOS-X.

Main Methods:

  • Development of SOS-X as a client to underlying OGC Sensor Observation Services (SOS).
  • Implementation of data reformatting, reorganization, and merging functionalities.
  • Integration of the "Formula 3" prototype for on-the-fly data derivation using algebraic operations.

Main Results:

  • SOS-X provides alternative access routes to sensor data.
  • It enables the creation of unified data offerings from multiple SOS sources.
  • SOS-X can derive new datasets by executing operations on input data streams.

Conclusions:

  • SOS-X significantly enhances data accessibility and usability within the OGC SWE architecture.
  • The prototype offers advanced data processing and integration capabilities.
  • Potential applications for SOS-X extend beyond the SANY IP project.