Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Synthetic Biology02:55

Synthetic Biology

4.7K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
4.7K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Mangrove areas in the United States likely to be submerged by projected sea level rise: declines in areal extent, carbon sequestration, and ecosystem services.

ACS ES&T water·2026
Same author

A Standardized Definition of Rapid Evidence Assessment for Environmental Applications.

Conservation letters·2026
Same author

MCSimMod: An R Package for Working with Ordinary Differential Equation Models Encoded in the MCSim Model Specification Language.

Journal of open source software·2026
Same author

PDF Entity Annotation Tool (PEAT).

Journal of open source software·2025
Same author

Proof-of-concept for using machine learning to facilitate data extraction for human health chemical assessments: a study protocol.

Evidence-based toxicology·2025
Same author

Regional variation in growth and survival responses to atmospheric nitrogen and sulfur deposition for 140 tree species across the United States.

Frontiers in Forests and Global Change·2025

相关实验视频

Updated: May 16, 2025

Author Spotlight: Understanding Riverine Nitrogen Impacts and Primary Productivity for Effective Nutrient Management
05:04

Author Spotlight: Understanding Riverine Nitrogen Impacts and Primary Productivity for Effective Nutrient Management

Published on: July 14, 2023

326

基于Web的生态证据输入表格可以为合成应用程序提供一致,可访问的提取和可视化.

Caroline E Ridley1, Casey Hansen2, Peter Byrley1

  • 1U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, Research Triangle Park, North Carolina, USA.

Conservation science and practice
|April 3, 2025
PubMed
概括

一个新的基于网络的工具简化了从科学出版物中提取因果关系的生态证据. 这有助于改善用于保护,环境管理和决策的数据合成.

关键词:
评估评估的评估评估的评估.保护 保护 保护控制的词汇控制的词汇数据可视化数据可视化生态学生态学是什么环境管理环境管理环境管理证据 证据 证据 证据 证据 证据 证据综合合成是一种合成.系统性审查 系统性审查基于Web的内容管理系统.

更多相关视频

A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

17.4K
Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
09:51

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Published on: July 16, 2017

15.3K

相关实验视频

Last Updated: May 16, 2025

Author Spotlight: Understanding Riverine Nitrogen Impacts and Primary Productivity for Effective Nutrient Management
05:04

Author Spotlight: Understanding Riverine Nitrogen Impacts and Primary Productivity for Effective Nutrient Management

Published on: July 14, 2023

326
A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

17.4K
Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
09:51

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Published on: July 16, 2017

15.3K

科学领域:

  • 生态科学 生态科学
  • 环境科学环境科学
  • 保护生物学 保护生物学

背景情况:

  • 综合保护和政策的科学证据是资源密集的.
  • 访问和分析生态出版物以获取与决策相关的信息需要大量的努力.

研究的目的:

  • 开发一个免费的,公开可用的,基于网络的工具,从生态文献中提取因果关系.
  • 促进生态和环境证据的存储,检索,重复使用和可视化.

主要方法:

  • 开发了一个基于Web的证据输入表格,用于提取因果关系的信息.
  • 设计了一个数据库方案来链接出版物,实验设计和报告的关系.
  • 实施了控制术语的本体学,以实现一致的证据表征.

主要成果:

  • 该工具可以提取和分析定性和定量生态证据.
  • 促进各种合成目的,如因果评估和假设测试.
  • 支持各种方法,包括快速审查和元分析.

结论:

  • 开发的工具提高了生态学中证据综合的效率.
  • 改善科学证据在保护,环境管理和政策中的应用.
  • 未来的工作包括结合研究质量信息和可定制的术语.