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

Arrhenius Plots02:34

Arrhenius Plots

47.0K
The Arrhenius equation relates the activation energy and the rate constant, k, for chemical reactions. In the Arrhenius equation, k = Ae−Ea/RT, R is the ideal gas constant, which has a value of 8.314 J/mol·K, T is the temperature on the kelvin scale, Ea is the activation energy in J/mole, e is the constant 2.7183, and A is a constant called the frequency factor, which is related to the frequency of collisions and the orientation of the reacting molecules.
The Arrhenius equation can be used...
47.0K
Residual Plots01:07

Residual Plots

6.5K
A residual plot is a statistical representation of data used to analyze correlation and regression results. It helps verify the requirements for drawing specific conclusions about correlation and regression. To obtain the residual plot, first, the residual for each data value is calculated, which is simply the vertical distance between the observed and the predicted value obtained from the regression equation.
When the residual values are plotted against the variable x, it is called a residual...
6.5K
Microsoft Excel: Plotting Mean, SD, and SE01:18

Microsoft Excel: Plotting Mean, SD, and SE

1.2K
In Microsoft Excel, plotting the mean along with standard deviation (SD) and standard error (SE) helps visualize data variability and reliability. To plot these values, follow these steps:
First, calculate the mean, SD, and SE of your data. The mean is obtained using the formula `=AVERAGE(range)`, while SD can be calculated with `=STDEV.P(range)` for a population or `=STDEV.S(range)` for a sample. SE is calculated as `=SD/SQRT(n)`, where `n` is the sample size.
To plot these values, use a bar...
1.2K
Bode Plots01:26

Bode Plots

1.3K
Bode plots are graphical tools that use logarithmic scales for frequency on the x-axis and gain in decibels on the y-axis. This logarithmic method allows a wide range of frequencies to be compactly displayed, enabling the analysis of component effects on circuit behavior across a broad frequency spectrum.
A network function represents the ratio of a system's output to its input, with the magnitude and phase angle derived from the complex network function. The decibel logarithmic gain is...
1.3K
Scatter Plot01:15

Scatter Plot

11.4K
The most common and easiest way to display the relationship between two variables, x and y, is a scatter plot. A scatter plot shows the direction of a relationship between the variables. A clear direction happens when there is either:
11.4K
Bode Plots Construction01:24

Bode Plots Construction

1.1K
The Bode plot is an essential tool in control system analysis, mapping the frequency response of a system through a magnitude plot and a phase plot, both against a logarithmic frequency axis. To construct a Bode plot, consider the transfer function H(ω):
1.1K

You might also read

Related Articles

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

Sort by
Same author

Sensor fusion and downscaled climate projections reveal climate refugia in the California Channel Islands.

Scientific reports·2026
Same author

Partial coordination of leaf water relations with the leaf economics spectrum across diverse forest types.

Plant physiology·2026
Same author

From Lineage Discovery to Conservation Prioritisation: An Integrative Genomic Framework Applied to a Model Damselfly System.

Molecular ecology·2026
Same author

Mechanistic links between coexistence, productivity, and stability in experimental grasslands.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Predicting temporal stability and resilience from resistance and recovery.

Nature·2026
Same author

Method comparison of microscopy, metabarcoding, and multispectral imaging flow cytometry for identification and relative abundance analysis of insect-dispersed pollen.

Scientific reports·2026
Same journal

A scalable exemplar-based method for aligning biological taxonomies.

Biodiversity data journal·2026
Same journal

First record of <i>Onchidium reevesii</i> from Korean tidal flats (Mollusca, Gastropoda, Onchidiidae).

Biodiversity data journal·2026
Same journal

Camera trapping survey of vertebrates in Lipis Geopark, Pahang, Malaysia with notes on cave utilisation by mainland clouded leopard (<i>Neofelis nebulosa</i>).

Biodiversity data journal·2026
Same journal

A seasonal bird occurrence dataset from Karataş Lake (Burdur, Turkey) with associated NDVI and climate data, 2021 to 2022.

Biodiversity data journal·2026
Same journal

A new record of the southern erebid moth species, <i>Hypena nakajimai</i> Kishida, 2010 (Lepidoptera, Erebidae), from Korea with molecular analyses.

Biodiversity data journal·2026
Same journal

Population-level transcriptomic datasets from two benthic invertebrates exposed to long-term experimental warming and acidification.

Biodiversity data journal·2026
See all related articles

Related Experiment Video

Updated: Feb 4, 2026

Simulating Impacts of Ice Storms on Forest Ecosystems
06:27

Simulating Impacts of Ice Storms on Forest Ecosystems

Published on: June 30, 2020

7.5K

OpenNahele: the open Hawaiian forest plot database.

Dylan Craven1,2,3, Tiffany M Knight1,2,4, Kasey E Barton5

  • 1Department of Community Ecology, Helmholtz Centre for Environmental Research - UFZ, Halle (Saale), Germany Department of Community Ecology, Helmholtz Centre for Environmental Research - UFZ Halle (Saale) Germany.

Biodiversity Data Journal
|October 12, 2018
PubMed
Summary
This summary is machine-generated.

OpenNahele is a new database detailing Hawaiian forest plots, offering insights into island biodiversity. This resource supports ecological and evolutionary research in Hawaii

More Related Videos

Methods of Soil Resampling to Monitor Changes in the Chemical Concentrations of Forest Soils
09:16

Methods of Soil Resampling to Monitor Changes in the Chemical Concentrations of Forest Soils

Published on: November 25, 2016

17.4K
The ITS2 Database
16:17

The ITS2 Database

Published on: March 12, 2012

32.3K

Related Experiment Videos

Last Updated: Feb 4, 2026

Simulating Impacts of Ice Storms on Forest Ecosystems
06:27

Simulating Impacts of Ice Storms on Forest Ecosystems

Published on: June 30, 2020

7.5K
Methods of Soil Resampling to Monitor Changes in the Chemical Concentrations of Forest Soils
09:16

Methods of Soil Resampling to Monitor Changes in the Chemical Concentrations of Forest Soils

Published on: November 25, 2016

17.4K
The ITS2 Database
16:17

The ITS2 Database

Published on: March 12, 2012

32.3K

Area of Science:

  • Ecology
  • Botany
  • Conservation Biology

Background:

  • OpenNahele is the first comprehensive database of Hawaiian forest plots.
  • It encompasses 530 plots across six islands, detailing 43,590 individuals from 185 native and alien species.
  • Includes functional traits like maximum plant size for 58 woody species.

Purpose of the Study:

  • To describe the OpenNahele database.
  • To provide a platform for ecological, evolutionary, and conservation research in the Hawaiian archipelago.
  • To facilitate high-resolution studies of biodiversity patterns.

Main Methods:

  • Data compilation from 530 forest plots.
  • Inclusion of species inventory and abundance data.
  • Estimation of maximum plant size (D950.1 and Dmax3) for 58 woody species.

Main Results:

  • The database contains 43,590 individuals from 185 species.
  • Data covers six islands within the Hawaiian archipelago.
  • Provides estimates for key functional traits relevant to dispersal and competition.

Conclusions:

  • OpenNahele is a unique, high-resolution resource for studying Hawaiian biodiversity.
  • Enables broad ecological and evolutionary research in a biodiversity hotspot.
  • Supports conservation efforts through detailed forest plot data.