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README.md
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- config_name: unlabeled
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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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license: mit
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---
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- config_name: unlabeled
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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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This dataset includes hyperspectral reflectance data of plant samples. It is intended for machine learning tasks such as Regression for plant trait prediction with self and semi-supervised learning.
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## 📁 Configurations
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### 1. `labeled`
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- File: `lb.csv`
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- Contains:
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- Sample ID
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- Spectral bands (400-2450 nm) >> 1721 bands
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- Trait measurements (e.g., nitrogen, moisture, etc.)
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| Column | Description |
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|----------------|----------------------------------------------|
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| `dataset_id` | Unique sample identifier |
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| `400` | Reflectance at 400nm |
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| ... | More spectral bands (every 10nm, etc.) |
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| `2450` | More spectral bands (every 10nm, etc.) |
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| Cp | Nitrogen content |
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| Cm | |
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| Cw | |
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| LAI | |
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| Cab | |
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| Car | |
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| Anth | |
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---
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### 2. `unlabeled`
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- Files: all CSVs under `Unlb/`
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- Contains:
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- Sample ID
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- Spectral bands only
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| Column | Description |
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|----------------|----------------------------------------------|
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| `dataset_id` | Unique sample identifier |
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| `400` | Reflectance at 400nm |
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---
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license: mit
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---
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