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Scientific Communication Assets: A MonksHillLab, non-AI look-book for Ecological Research Visualization

Authors: Hoffmann, Mathias;

Scientific Communication Assets: A MonksHillLab, non-AI look-book for Ecological Research Visualization

Abstract

Scientific Communication Assets: A MonksHillLab look book This collection is an integral part of the MonksHillLab initiative (Working group for Ecophysiology and Water and Matter Cycling (ECO) of the Leibniz Centre for Agricultural Landscape Research (ZALF)), which aims to democratize science by enabling low-cost, DIY environmental monitoring. Just as the initiative provides open-hardware designs to close the gap between research and field implementation, this "look-book" provides the visual tools necessary to communicate that research with professional clarity. Why Non-AI and PowerPoint? To remain consistent with the MonksHillLab mission of accessibility, all assets are created exclusively in PowerPoint using standard and custom shapes. By deliberately avoiding AI-generated graphics, we ensure: Technical Accuracy: No visual "noise" or anatomical errors common in generative AI. True Editability: Users can modify technical details (e.g., sensor placement, gas flow paths) directly via the "Edit Shape/Points" function. Zero Cost: No expensive design software or AI subscriptions are required—only widely available academic tools. A Living Visual Repository These assets are free, open-source, and designed for reproducibility. As the MonksHillLab initiative grows—incorporating new tools like the "Lab on Wheels" or the upcoming flush-sampling systems—this repository will evolve alongside it. Contribute & Adapt We encourage users to not only use these graphics but to adapt them. If you create a new schematic for a DIY system or improve an existing one, we welcome your contributions to future versions of this handbook. Together, we are building a practical, evolving resource for scientists, students, and practitioners worldwide.

Keywords

low cost, open science, research communication

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average