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相关概念视频

Time-Series Graph00:54

Time-Series Graph

4.4K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
4.4K
Overview of Algae01:28

Overview of Algae

49
The kingdom Archaeplastida encompasses red and green algae, along with land plants. Unlike other protists with chloroplasts that arose through secondary endosymbiosis, only red and green algae originated from primary endosymbiotic events. This diverse group of eukaryotic organisms contains chlorophyll and performs oxygenic photosynthesis.Algae exist in various forms, from large brown kelp in coastal waters to green scum in puddles and stains on rocks or soil. Some species are responsible for...
49
Plotting of Topographic Maps01:29

Plotting of Topographic Maps

62
Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...
62
Arrhenius Plots02:34

Arrhenius Plots

40.0K
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...
40.0K

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相关实验视频

Updated: Jul 19, 2025

Author Spotlight: Unveiling Plankton Response to Climate Change Through Time-Series Data and Artistic Expression
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Author Spotlight: Unveiling Plankton Response to Climate Change Through Time-Series Data and Artistic Expression

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可视化海洋学数据,描绘长期植物浮游生物的变化.

Patricia S Thibodeau1, Jongsun Kim2

  • 1Graduate School of Oceanography, University of Rhode Island; pthibodeau1@une.edu.

Journal of visualized experiments : JoVE
|August 14, 2023
PubMed
概括

这项研究可视化了纳拉甘塞特湾的长期植物浮游生物变化,使用艺术. 它将微观图像转化为重复的模式,揭示了几十年来生物质和温度趋势的变化.

科学领域:

  • 海洋生物学 海洋生物学
  • 生态系统动态生态系统动态
  • 数据可视化数据可视化

背景情况:

  • 海洋学时间序列对于理解生态系统变化至关重要.
  • 纳拉甘塞特湾长期浮游生物时间序列 (NBPTS) 为研究水生生态系统提供了一个独特的数据集 (1959年至今).
  • 植物浮游生物是海洋食物网的基础,对沿海人口至关重要.

研究的目的:

  • 开发一种用于可视化植物浮游生物多样性和规模的新方案.
  • 向沿海社区传达浮游植物的重要性.
  • 为了说明植物浮游生物质和生态系统温度的长期变化.

主要方法:

  • 使用Adobe Illustrator将NBPTS中的微观浮游植物图像转换为矢量图形.
  • 创建基于数量丰富或有害类型的相对丰富的重复视觉模式 (例如,Pseudo-nitzschia spp. ) 的情况.
  • 设计大型印刷面板 (96x34英寸) 带有浮游植物图案,结合了十年生物质数据和代表温度增加的蓝至红色色梯度.

主要成果:

  • 生成的视觉模式有效地代表了十年的植物浮游生物质生物质转移.
  • 艺术品中的颜色梯度说明了纳拉甘塞特湾的长期变暖趋势.

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Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
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  • 该项目成功地可视化了随着时间的推移,植物浮游生物质和丰度的通常看不见的变化.
  • 结论:

    • 这种艺术数据可视化方法使得长期浮游生物时间序列数据易于访问和理解.
    • 该方法可以应用于其他浮游生物的时间序列,以增强数据通信,教育和宣传.
    • 该项目强调了将科学数据与艺术表达相结合的价值,以实现更广泛的公众参与.