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@@ -8,12 +8,11 @@ configs:
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  data_files: "unlb/*.csv"
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  description: "Unlabeled spectra data for semi-supervised or self-supervised learning."
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  ---
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- # Spectra Dataset for Trait Prediction
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  GreenHySpectra includes variable hyperspectral reflectance data of vegetation. It is intended for Regression machine learning task for plant trait prediction with self and semi-supervised learning.
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  ## 📁 Configurations
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-
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  ### 1. `GreenHySpectra: Unlabeled Set`
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  - Files: all CSVs under `unlb/`
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  - Contains:
@@ -26,7 +25,6 @@ GreenHySpectra includes variable hyperspectral reflectance data of vegetation. I
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  | ... | More spectral bands |
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  | 2450 | Reflectance at 2450nm |
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  ---
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-
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  ### 2. `Labeled set`
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  - File: `50_all_traits.csv`
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  - Contains:
@@ -48,6 +46,5 @@ GreenHySpectra includes variable hyperspectral reflectance data of vegetation. I
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  | Car | Leaf carotenoids content (µg/m²) |
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  | Anth | Leaf anthocynins content (µg/m²) |
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  ---
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-
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  license: mit
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  ---
 
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  data_files: "unlb/*.csv"
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  description: "Unlabeled spectra data for semi-supervised or self-supervised learning."
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  ---
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+ # GreenHySpectra: A multi-source hyperspectral dataset for global vegetation trait prediction
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  GreenHySpectra includes variable hyperspectral reflectance data of vegetation. It is intended for Regression machine learning task for plant trait prediction with self and semi-supervised learning.
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  ## 📁 Configurations
 
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  ### 1. `GreenHySpectra: Unlabeled Set`
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  - Files: all CSVs under `unlb/`
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  - Contains:
 
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  | ... | More spectral bands |
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  | 2450 | Reflectance at 2450nm |
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  ---
 
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  ### 2. `Labeled set`
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  - File: `50_all_traits.csv`
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  - Contains:
 
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  | Car | Leaf carotenoids content (µg/m²) |
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  | Anth | Leaf anthocynins content (µg/m²) |
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  ---
 
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  license: mit
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  ---