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

Data: Types and Distribution01:19

Data: Types and Distribution

1.7K
In biostatistics, data are the observations collected for analysis. There are two main types: parametric and non-parametric. Parametric data, which include continuous (e.g., weight) and discrete numerical data (e.g., number of tablets), assume a particular distribution pattern, often the normal distribution. Non-parametric data do not adhere to a specific distribution and typically comprise nominal (e.g., gender) and ordinal categorical data (e.g., pain scale ratings).
Distributions in...
1.7K
Applications of Normal Distribution01:22

Applications of Normal Distribution

9.5K
The normal distribution is a useful statistical tool. One of its practical applications is determining the door height after considering the normal distribution of heights of persons, such that many can pass through it easily without striking their heads. The normal distribution can also determine the probability of a person having a height less than a specific height.
The heights of 15 to 18-year-old males from Chile from 1984 to 1985 followed a normal distribution. The mean height is 172.36...
9.5K
GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

781
A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
781
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

248
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
248
Drug Distribution: Volume of Distribution01:25

Drug Distribution: Volume of Distribution

7.4K
The volume of distribution refers to the theoretical volume necessary to contain the entire amount of an administered drug at the same concentration observed in the blood plasma. The body's intracellular fluid compartment, which makes up two-thirds of the total body water, is contrasted with the extracellular fluid compartment—comprising plasma and interstitial fluid—that accounts for one-third. The volume of distribution can vary depending on the characteristics of the drug.
7.4K
F Distribution01:19

F Distribution

10.7K
The F distribution was named after Sir Ronald Fisher, an English statistician. The F statistic is a ratio (a fraction) with two sets of degrees of freedom; one for the numerator and one for the denominator. The F distribution is derived from the Student's t distribution. The values of the F distribution are squares of the corresponding values of the t distribution. One-Way ANOVA expands the t test for comparing more than two groups. The scope of that derivation is beyond the level of this...
10.7K

You might also read

Related Articles

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

Sort by
Same author

A Global-Scale Time Series Dataset for Groundwater Studies within the Earth System.

Scientific data·2026
Same author

A global coastal permeability dataset (CoPerm 1.0).

Scientific data·2024
Same author

Tropical Beaches Attenuate Groundwater Nitrogen Pollution Flowing to the Ocean.

Environmental science & technology·2021
Same author

Groundwater discharge impacts marine isotope budgets of Li, Mg, Ca, Sr, and Ba.

Nature communications·2021
Same author

Fresh groundwater discharge insignificant for the world's oceans but important for coastal ecosystems.

Nature communications·2020
Same author

Modelling the distribution in Hawaii of Angiostrongylus cantonensis (rat lungworm) in its gastropod hosts.

Parasitology·2018
Same journal

Performance Management Counters from Live 5G, 4G and 2G Radio Access Network.

Scientific data·2026
Same journal

Establishment of comparative transcriptome dataset related to nitrogen use efficiency in melon.

Scientific data·2026
Same journal

A chromosome-level reference genome assembly of the King Ratsnake (Elaphe carinata).

Scientific data·2026
Same journal

A six-week longitudinal dataset of wearable and self-reported stress measurements in working adults.

Scientific data·2026
Same journal

A Multi-Regional Single-nucleus Atlas of the Huntington's Disease Brain.

Scientific data·2026
Same journal

A multimodal speech-production dataset with time-aligned articulography, EEG, audio, and vocal-tract anatomy.

Scientific data·2026
See all related articles

Related Experiment Video

Updated: Jan 29, 2026

IR-TEx: An Open Source Data Integration Tool for Big Data Transcriptomics Designed for the Malaria Vector Anopheles gambiae
08:22

IR-TEx: An Open Source Data Integration Tool for Big Data Transcriptomics Designed for the Malaria Vector Anopheles gambiae

Published on: January 15, 2020

6.6K

An open source web application for distributed geospatial data exploration.

Patrick A Curry1, Nils Moosdorf1

  • 1Leibniz Centre for Tropical Marine Research (ZMT), Fahrenheitstraße 6, 28359 Bremen, Germany.

Scientific Data
|February 13, 2019
PubMed
Summary
This summary is machine-generated.

Navigating scattered geospatial data is challenging. Spatial Data Hub, an open-source application, indexes remote data, enabling simultaneous display and comparison on a single map to improve data accessibility.

More Related Videos

Applications for Open Source Microplate-Compatible Illumination Panels
08:48

Applications for Open Source Microplate-Compatible Illumination Panels

Published on: October 3, 2019

7.9K
Fixed Target Serial Data Collection at Diamond Light Source
06:19

Fixed Target Serial Data Collection at Diamond Light Source

Published on: February 26, 2021

3.8K

Related Experiment Videos

Last Updated: Jan 29, 2026

IR-TEx: An Open Source Data Integration Tool for Big Data Transcriptomics Designed for the Malaria Vector Anopheles gambiae
08:22

IR-TEx: An Open Source Data Integration Tool for Big Data Transcriptomics Designed for the Malaria Vector Anopheles gambiae

Published on: January 15, 2020

6.6K
Applications for Open Source Microplate-Compatible Illumination Panels
08:48

Applications for Open Source Microplate-Compatible Illumination Panels

Published on: October 3, 2019

7.9K
Fixed Target Serial Data Collection at Diamond Light Source
06:19

Fixed Target Serial Data Collection at Diamond Light Source

Published on: February 26, 2021

3.8K

Area of Science:

  • Geoinformatics
  • Data Science
  • Scientific Computing

Background:

  • Increasingly large volumes of online data are difficult to navigate and access.
  • Data are often fragmented across diverse repositories or private servers, hindering findability.
  • Existing tools require extensive searching and are repository-specific, limiting access to long-tail data.

Purpose of the Study:

  • To develop an open-source web application, Spatial Data Hub, to address challenges in geospatial data discovery and accessibility.
  • To create a unified platform for indexing and visualizing disparate geospatial datasets.
  • To enhance the visibility of long-tail datasets and promote open science principles.

Main Methods:

  • Developed an open-source web application, Spatial Data Hub, functioning as a geospatial data index.
  • Connected the hub to remote internet sources for data retrieval.
  • Enabled simultaneous display and comparison of diverse datasets on a single interactive map.

Main Results:

  • Spatial Data Hub provides a unified interface for accessing and visualizing distributed geospatial data.
  • The application facilitates the comparison of disparate datasets, improving data integration.
  • It effectively increases the visibility of long-tail datasets by connecting to any storage system.

Conclusions:

  • Spatial Data Hub enhances data findability and accessibility, particularly for underrepresented datasets.
  • The platform promotes transparency, openness, and reproducibility in research by lowering data access barriers.
  • It serves as a novel tool for researchers to promote their work, generate new hypotheses, and foster collaborations.