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

Measurement: Standard Units03:38

Measurement: Standard Units

60.7K
Every measurement provides three kinds of information: the size or magnitude of the measurement (a number), a standard of comparison for the measurement (a unit), and an indication of the uncertainty of the measurement. While the number and unit are explicitly represented when a quantity is written, the uncertainty is an aspect of the errors in the measurement results.
60.7K
Measurement: Derived Units03:02

Measurement: Derived Units

42.7K
The International System of Units or SI system, by international agreement, has fixed measurement units for seven fundamental properties: length, mass, time, temperature, electric current, amount of substance, and luminosity. These are called the SI base units.
42.7K
Units and Standards of Measurement01:10

Units and Standards of Measurement

31.1K
A physical quantity is defined either by specifying its measurement method or by stating how it is calculated from other measurements. For example, consider a metallic cube. We might define its mass and dimensions by specifying methods for measuring them, such as using a weighing machine and a meter scale. Then, we could define the volume by stating that it is the cube of its side, and we could calculate the density as the mass divided by the volume.
Measurements of physical quantities are...
31.1K
Units of Measurement01:27

Units of Measurement

1.9K
Mechanical engineering is one of the oldest branches of engineering. It deals with designing, analyzing, and manufacturing machines and mechanical systems. To ensure precise and accurate calculations, units of measurement are used. They provide a standard system for expressing and comparing physical quantities.
There are various well-known historical measurement systems, such as the Babylonian system, the Roman system, the Egyptian system, the Olympian system, the British system, and the Indus...
1.9K
SI Units: 2019 Redefinition01:13

SI Units: 2019 Redefinition

1.4K
Measurement is an indispensable part of analytical chemistry. The result of measurement helps quantify a substance's physical property and compare it with the physical property of another substance. Each measurement comprises two components - a number indicating the magnitude and a unit of measurement as a standard for comparison. Further, the same quantity can be measured using different units of measurement, which leads to differences in magnitude.
A standard set of units has been defined...
1.4K
Conversion of Units01:36

Conversion of Units

21.9K
Sometimes, there is a need to convert from one unit to another one. For instance, reading a cookbook in which quantities are expressed in units of liters or ounces may require conversion of quantities to cups. Or, when looking up directions on how to get to a location, we may be interested to know how many miles we are going to walk. In this case, we would have to convert units of feet or meters to miles.
The first step in the unit conversion is to list the given units and the units required...
21.9K

You might also read

Related Articles

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

Sort by
Same author

An Open-Label Study of Single-Dose Psilocybin for Borderline Personality Disorder With Co-Occurring Major Depressive Disorder.

Clinical neuropharmacology·2026
Same author

Haplotype-based association of CYB5A gene polymorphisms (rs1790834 and rs1790858) with polycystic ovary syndrome in a south Indian cohort.

Gene·2025
Same author

From Microscopes to Monitors: Unique Opportunities and Challenges in Digital Pathology Implementation in Remote Canadian Regions.

Diagnostics (Basel, Switzerland)·2025
Same author

Bridging data silos to holistically model plant macrophenology.

The New phytologist·2025
Same author

Footprints in time: individual, social, and environmental factors and never-use of e-cigarettes among Indigenous adolescents.

Health promotion international·2025
Same author

Longitudinal Study of Indigenous Children: adolescent never smoking and associations with individual, social, and environmental factors.

Health promotion international·2025
Same journal

High-resolution thermal infrared dataset for airborne person detection in SAR missions.

Scientific data·2026
Same journal

USV-derived bathymetry of high-risk glacial lakes and a critical semi-arid ecosystem lake in the Himalaya.

Scientific data·2026
Same journal

A large-scale, LLM-assisted and validated dataset of biomass and waste conversion technologies and feedstocks.

Scientific data·2026
Same journal

Near-complete telomere-to-telomere genome assembly of a male barbel steed (Hemibarbus labeo).

Scientific data·2026
Same journal

A near telomere-to-telomere genome assembly of Rhodiola macrocarpa (Crassulaceae).

Scientific data·2026
Same journal

SowPostureDS: A Multi-Class Image Dataset for YOLO-Based Detection of Sow Postures in diverse Farrowing Systems.

Scientific data·2026
See all related articles

Related Experiment Video

Updated: May 27, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

15.7K

Using a units ontology to annotate pre-existing metadata.

John H Porter1, Margaret O'Brien2, Marina Frants3

  • 1University of Virginia, Charlottesville, Virginia, USA. jhp7e@virginia.edu.

Scientific Data
|February 20, 2025
PubMed
Summary
This summary is machine-generated.

Automated processing of environmental data is improved by standardizing diverse unit representations. Linking ad hoc units to a unified ontology (QUDT) enables machine interpretation and data discovery.

More Related Videos

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
08:09

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

19.6K
The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics
13:02

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics

Published on: October 5, 2016

10.3K

Related Experiment Videos

Last Updated: May 27, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

15.7K
Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
08:09

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

19.6K
The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics
13:02

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics

Published on: October 5, 2016

10.3K

Area of Science:

  • Environmental science
  • Data science
  • Ontology engineering

Background:

  • Automated processing of environmental data is challenging due to inconsistent unit representations in metadata.
  • Diverse formats like 'gm/m2', 'g/m^2', and 'gramPerMeterSquared' are not machine-interpretable.

Purpose of the Study:

  • To develop a method for linking diverse, ad hoc unit representations to a standardized ontology.
  • To enhance machine interpretability and facilitate the identification of datasets with shared units.

Main Methods:

  • Employed successive string transformations to map non-standard unit representations to the Quantitative Unit Discovery and Typing Ontology (QUDT).
  • Created a lookup table by processing ecological metadata from DataONE, the Environmental Data Initiative, and the U.S. National Ecological Observatory Network.

Main Results:

  • Successfully mapped 91% (324,811 out of 355,057) of unit instances to QUDT units.
  • While only 896 distinct units were matched from over 7,000, the high instance mapping demonstrates practical utility.

Conclusions:

  • Standardizing environmental data units through ontologies like QUDT significantly improves data discoverability and interoperability.
  • The developed method and lookup table enable automated annotation of metadata, facilitating data integration and analysis.