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An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
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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...
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Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
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Updated: May 6, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Introducing the GRACEnet/REAP Data Contribution, Discovery, and Retrieval System.

S J Del Grosso, J W White, G Wilson

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    Summary
    This summary is machine-generated.

    High-quality agricultural data on trace gas fluxes and bioenergy feedstock performance are now accessible through the GRACEnet and REAP database. This resource aids research into environmental impacts and sustainable feedstock production.

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    Last Updated: May 6, 2026

    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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    Area of Science:

    • Agricultural Science
    • Environmental Science
    • Data Management

    Background:

    • Access to comprehensive data on trace gas fluxes and bioenergy feedstock performance is limited, hindering research on agricultural environmental impacts and feedstock potential.
    • The U.S. Department of Agriculture's Agricultural Research Service initiated the GRACEnet (Greenhouse gas Reduction through Agricultural Carbon Enhancement network) and REAP (Renewable Energy Assessment Project) programs to address these data gaps.

    Purpose of the Study:

    • To establish a centralized, accessible database for critical agricultural and environmental data.
    • To standardize data collection and description for field experiments related to greenhouse gas fluxes and bioenergy feedstocks.

    Main Methods:

    • Developed standardized sampling protocols and a spreadsheet-based data-entry template for consistent data collection.
    • Created a central database to store and manage data, including site descriptors, experimental design, management information, and measurements.
    • Implemented a web-accessible application for registered users to query and download data and measurement protocols.

    Main Results:

    • A comprehensive database was created containing greenhouse gas fluxes, soil carbon stocks, biomass yield, nutrient, and energy characteristics for cropped and grazed systems.
    • The database architecture and data entry template proved flexible and robust for describing diverse field experiments.
    • Web portals for GRACEnet and REAP provide access to the curated data.

    Conclusions:

    • The GRACEnet and REAP database provides a valuable resource for researchers studying agricultural environmental impacts and bioenergy feedstock potential.
    • The developed data management framework is suitable for other natural resource research projects requiring standardized data collection and accessibility.