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@@ -28,12 +28,12 @@ Machine learning (ML) algorithms have shown potential in automatically detecting
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  <!-- Provide the basic links for the dataset. -->
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  - **Repository:** [https://zenodo.org/records/8271253]
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- - **Paper [optional]:** [https://www.nature.com/articles/s41597-023-02657-3]
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  ## Uses
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  <!-- Address questions around how the dataset is intended to be used. -->
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- (1) employ state-of-the-art machine learning models to identify, count, and quantify leaf stomata; (2) explore the diverse range of stomatal characteristics across different types of hardwood trees; and (3) develop new indices for measuring stomata.
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  ## Dataset Structure
 
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  <!-- Provide the basic links for the dataset. -->
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  - **Repository:** [https://zenodo.org/records/8271253]
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+ - **Paper:** [https://www.nature.com/articles/s41597-023-02657-3]
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  ## Uses
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  <!-- Address questions around how the dataset is intended to be used. -->
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+ (1) Employ state-of-the-art machine learning models to identify, count, and quantify leaf stomata; (2) Explore the diverse range of stomatal characteristics across different types of hardwood trees; (3) Develop new indices for measuring stomata.
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  ## Dataset Structure