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README.md
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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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#
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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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-
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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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---
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