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

Precipitation and Co-precipitation01:17

Precipitation and Co-precipitation

4.7K
Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
4.7K
Precipitation Gravimetry01:03

Precipitation Gravimetry

15.8K
Precipitation gravimetry is based on converting an analyte into a sparingly soluble precipitate, which is separated by filtration and weighed. An ideal precipitate should be pure, insoluble, of known composition, and easily filtered from the reaction mixture.
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...
15.8K
Precipitation Processes01:12

Precipitation Processes

6.4K
The experimental conditions in a gravimetric analysis should be optimized to maximize the particle size and purity of the obtained precipitate. Ideally, the concentration of the precipitating reagent should be low with effective stirring to maintain low relative supersaturation for the growth of large crystals. In homogeneous precipitation, the precipitant is slowly generated by a chemical reaction in the solution to avoid local reagent excesses. For example, urea decomposes gradually to...
6.4K
What is Weather?01:07

What is Weather?

20.5K
Overview
20.5K
Precipitation Titration: Overview01:26

Precipitation Titration: Overview

10.3K
Precipitation titration involves the reaction of a titrant and an analyte to generate an insoluble precipitate. While precipitation titration uses various precipitating agents, silver nitrate is the most common precipitating reagent; titrations involving Ag+ are called argentometric titrations. Usually, the endpoint in a precipitation titration can be detected by visual indicators.
A precipitation titration curve demonstrates the change in concentration of the titrant or analyte upon adding the...
10.3K
Precipitation Titration Curve: Analysis01:21

Precipitation Titration Curve: Analysis

1.9K
The precipitation titration curve demonstrates the change in concentration of one reactant with the volume of titrant added. During the titration of chloride ions with silver nitrate, the precipitation titration curve is divided into three regions: before, at, and after the equivalence point. Before the equivalence point, low redissolution of the sparingly soluble silver chloride precipitate gives a low silver ion concentration. However, in the second region, representing the equivalence point,...
1.9K

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

Ocular Surface Toxicity of Antibody-Drug Conjugates: Pathogenesis, Diagnosis, Grading, and Treatment of Ocular Adverse Effects.

Cornea·2026
Same author

Retraction notice to "Assessment of cytotoxic and genotoxic potentials of a mononuclear Fe(II) Schiff base complex with photocatalytic activity in Trigonella" [Biochimica et Biophysica Acta (BBA) - General Subjects 1864 (2020) 129503].

Biochimica et biophysica acta. General subjects·2026
Same author

Cerebral venous thrombosis and bilateral ophthalmoplegia complicating sphenoid sinusitis: a case report.

BMC infectious diseases·2026
Same author

Longitudinal Phenotypic Trajectories in GNAO1-Related Disorders: Defining Disease Progression and Clinical Profiles.

Annals of neurology·2026
Same author

Computational investigation on the hydrodynamic performance of a vertically submerged plate-type wave energy converter under variable relative openings.

Scientific reports·2026
Same author

Phytotoxicity of systemic fungicides Blitox and Roko in <i>Brassica rapa</i> and tolerance mechanisms in <i>Rorippa indica</i>.

Physiology and molecular biology of plants : an international journal of functional plant biology·2026

相关实验视频

Updated: Mar 7, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.7K

WxC-Bench:一种新的天气和气候下游任务数据集

Rajat Shinde1, Kumar Ankur2, Christopher E Phillips2

  • 1Earth System Science Center, The University of Alabama in Huntsville, Huntsville, AL, USA. rajat.shinde@uah.edu.

Scientific data
|March 5, 2026
PubMed
概括

WxC-Bench是一个新的多模式数据集,用于在天气和气候研究中开发人工智能 (AI) 模型. 它解决了针对各种大气尺度和应用的精心策划,准备使用ML的数据集的稀缺问题.

更多相关视频

In Situ Soil Moisture Sensors in Undisturbed Soils
08:20

In Situ Soil Moisture Sensors in Undisturbed Soils

Published on: November 18, 2022

7.7K
Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
10:28

Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information

Published on: June 13, 2020

6.4K

相关实验视频

Last Updated: Mar 7, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.7K
In Situ Soil Moisture Sensors in Undisturbed Soils
08:20

In Situ Soil Moisture Sensors in Undisturbed Soils

Published on: November 18, 2022

7.7K
Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
10:28

Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information

Published on: June 13, 2020

6.4K

科学领域:

  • 气象学和气候科学 气象学和气候科学
  • 人工智能的人工智能
  • 数据科学数据科学数据科学

背景情况:

  • 高质量,可访问的机器学习 (ML) 准备数据集对于在天气和气候分析等科学应用中推进AI至关重要.
  • 在精选的,预处理的ML-ready数据集中存在很大的差距,阻碍了对大气研究的新型深度学习模型的开发.
  • 跨不同空间和时间尺度的数据模式变化为创建可泛化的AI模型带来了挑战.

研究的目的:

  • 介绍WxC-Bench,一个多模式数据集,旨在促进用于天气和气候研究的可通用AI模型的开发.
  • 支持创建能够分析各种各样的大气过程在各种尺度的人工智能模型.
  • 提供一个标准化资源,用于基准测试和推进气象学中的AI应用.

主要方法:

  • 开发了WxC-Bench,这是一个多模式数据集,涵盖了与大气过程相关的数据,从中位-β到同位尺度.
  • 包括各种下游用例,如流检测,风监测,天气模拟识别,重力波参数化和自然语言报告生成.
  • 通过基线分析进行了技术验证,以证明数据集的实用性.

主要成果:

  • WxC-Bench提供了一个全面的多模式数据集,专为天气和气候中的AI模型开发量身定制.
  • 该数据集涵盖了广泛的大气现象和尺度,使得对各种应用的研究成为可能.
  • 基线分析证实了数据集对于评估和推进人工智能模型的适用性.

结论:

  • WxC-Bench解决了在天气和气候AI研究中对精心策划,准备使用ML的数据集的关键需求.
  • 该数据集促进了大气科学更可通用和更强大的AI模型的开发.
  • 拥抱脸的公开可用的代码和数据集鼓励社区参与和进一步研究.