Jove
Visualize
Contact Us
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 Concept Videos

Time-Series Graph00:54

Time-Series Graph

5.5K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
5.5K
Econometric Views (EViews)01:29

Econometric Views (EViews)

661
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
661
Discrete-Time Fourier Series01:20

Discrete-Time Fourier Series

819
The Discrete-Time Fourier Series (DTFS) is a fundamental concept in signal processing, serving as the discrete-time counterpart to the continuous-time Fourier series. It allows for the representation and analysis of discrete-time periodic signals in terms of their frequency components. Unlike its continuous counterpart, which utilizes integrals, the calculation of DTFS expansion coefficients involves summations due to the discrete nature of the signal.
For a discrete-time periodic signal x[n]...
819
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

924
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
924
Longitudinal Research02:20

Longitudinal Research

13.6K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
13.6K
Observational Studies01:11

Observational Studies

11.3K
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
11.3K

You might also read

Related Articles

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

Sort by
Same author

Multi-Source Common-View Disciplined Clock: A Fail-Safe Clock for Critical Infrastructure Systems.

Journal of research of the National Institute of Standards and Technology·2024
Same author

A Historical Review of U.S. Contributions to the Atomic Redefinition of the SI Second in 1967.

Journal of research of the National Institute of Standards and Technology·2021
Same author

Accurate, Traceable, and Verifiable Time Synchronization for World Financial Markets.

Journal of research of the National Institute of Standards and Technology·2021
Same author

The SIM Time Network.

Journal of research of the National Institute of Standards and Technology·2016
Same author

WWVB: A Half Century of Delivering Accurate Frequency and Time by Radio.

Journal of research of the National Institute of Standards and Technology·2015
Same author

A Low-Cost Time Transfer Receiver for Contributions to Coordinated Universal Time.

Journal of research of the National Institute of Standards and Technology·2015

Related Experiment Video

Updated: Mar 19, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

11.2K

The GOES Time Code Service, 1974-2004: A Retrospective.

Michael A Lombardi1, D Wayne Hanson1

  • 1National Institute of Standards and Technology, Boulder, CO 80305.

Journal of Research of the National Institute of Standards and Technology
|June 17, 2016
PubMed
Summary
This summary is machine-generated.

The National Institute of Standards and Technology (NIST) concluded its Geostationary Operational Environmental Satellites (GOES) time code service in 2005. This article reviews the service and its historical impact on satellite timekeeping.

Keywords:
Coordinated Universal Time (UTC)broadcastingorbit predictionsatellitestimekeeping

More Related Videos

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

2.0K
Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

14.3K

Related Experiment Videos

Last Updated: Mar 19, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

11.2K
Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Author Spotlight: Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

2.0K
Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

14.3K

Area of Science:

  • Geophysics
  • Satellite Technology
  • Timekeeping

Background:

  • The Geostationary Operational Environmental Satellites (GOES) provided a critical time code service.
  • This service played a significant role in establishing accurate time synchronization for various applications.

Purpose of the Study:

  • To commemorate the cessation of the GOES time code service.
  • To provide a historical overview of the GOES time code service.
  • To highlight the service's importance in the evolution of satellite timekeeping.

Main Methods:

  • Historical review and analysis of the GOES time code service.
  • Examination of its operational period and technical contributions.

Main Results:

  • The NIST GOES time code service officially ended on January 1, 2005.
  • The service was instrumental in advancing satellite-based time dissemination.

Conclusions:

  • The GOES time code service represents a key chapter in the history of precise timekeeping.
  • Its discontinuation marks the end of an era for this specific satellite timekeeping method.