Update README.md

README.md

@@ -83,33 +83,8 @@ Machine learning (ML) algorithms have shown potential in automatically detecting
 
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 The study utilized stomatal images from two datasets: Hardwood and Populus spp., acquired from 2015 to 2022. The Hardwood dataset contained 16 species, including American elm (Ulmus americana Planch), cherrybark oak (Quercus pagoda Raf.), Nuttall oak (Quercus texana Buckley), shagbark hickory (Carya ovata (Mill.) K. Koch), Shumard oak (Quercus shumardii Buckley), swamp chestnut oak (Quercus michauxii Nutt.), water oak (Quercus nigra L.), willow oak (Quercus phellos L.), ash (Fraxinus L.), black gum (Nyssa sylvatica Marshall), deerberry (Vaccinium stamineum Linneaus), leatherwood (Dirca palustris L.), red maple (Acer rubrum L.), post oak (Quercus stellata Wangenh.), willow (Salix spp.), and winged elm (Ulmus alata Michx.), with the age of seedlings ranging from 1–3 years for Nuttall oak, water oak, and Shumard oak, and 30–50 years for the rest. Using a compound light microscope (Olympus, Tokyo, Japan) equipped with a digital microscope camera (MU300, AmScope, USA) with a 5 mm lens and a fixed microscope adapter (FMA050, AmScope), over 10,000 stomatal images were captured. The Populus dataset consisted of over 3,000 images from 55 genotypes of seven taxa of hybrid poplar and eastern cottonwood (Populus deltoides), which were 4 to 5 years old.
-#### Data Collection and Processing
 
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-#### Who are the source data producers?
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-### Annotations [optional]
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-#### Annotation process
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-#### Who are the annotators?
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 ## Bias, Risks, and Limitations
 
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 This dataset includes only images of stomata from hardwood trees and Populus, limiting its applicability for studying stomata of other tree genera, though it may serve as reference data. This dataset is not divided into training and testing sets; users must divide it themselves when necessary.Despite following rigorous procedures in collecting leaves and micrographs, considering human and instrumental errors, there's a possibility of inaccuracies in the images and their associated information within the datasets. Even though the annotation process employed pre-trained model labeling methods, complemented by quick checks using LabelImg, potential model and computational errors could still lead to incorrect annotations.
 
 
-### Recommendations
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-Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
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-## Citation [optional]
+## Citation 
 
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-## Glossary [optional]
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-## More Information [optional]
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-## Dataset Card Authors [optional]
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-## Dataset Card Contact
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+Wang, J., Renninger, H.J. & Ma, Q. Labeled temperate hardwood tree stomatal image datasets from seven taxa of Populus and 17 hardwood species. Sci Data 11, 1 (2024). https://doi.org/10.1038/s41597-023-02657-3