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@@ -30,10 +30,10 @@ and environmental datasets with the LUCAS soil survey as the backbone.
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  The released dataset contains:
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- - 72,552 soil samples
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- - 1,017 fused soil and environmental features
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  - 68 integrated ESDAC source datasets
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- - Numerical, categorical, textual, vector-valued, and visual data
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  LUCAS-MEGA is designed for representation learning in soil science. It provides a unified sample-feature space where
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  models can learn relationships across soil, climate, terrain, land-use, hydrological, and environmental variables.
@@ -71,7 +71,7 @@ git lfs pull --include="datasets/fusion" --exclude="datasets/esdac,src/fuse_esda
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  The fusion dataset is the released LUCAS-MEGA dataset. It integrates standardized source datasets into a unified
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  sample-feature representation. Each sample is a soil observation, and each feature is a fused soil or environmental
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- variable. Features may be scalar values, categorical labels, text fields, vector-valued measurements, images, or links
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  to dense asset files.
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  ### Released Files
@@ -98,7 +98,7 @@ git lfs pull --include="datasets/esdac" --exclude="datasets/fusion,src/fuse_esda
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  ```
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  The standardized representation contains cleaned and normalized individual source datasets. These datasets have been
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- converted into common formats but are not yet fused into the final LUCAS-MEGA sample-feature table.
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  It includes:
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@@ -115,7 +115,7 @@ Use `viewer.py` to visualize the standardized data and metadata:
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  python viewer.py
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  ```
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- <img src="resources/preview.png" alt="preview" style="width:50%;">
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  ---
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  The released dataset contains:
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+ - 72,000+ soil samples
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+ - 1,000+ fused soil and environmental features
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  - 68 integrated ESDAC source datasets
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+ - Numerical (scalar- and vector-valued), categorical, textual, and visual data
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  LUCAS-MEGA is designed for representation learning in soil science. It provides a unified sample-feature space where
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  models can learn relationships across soil, climate, terrain, land-use, hydrological, and environmental variables.
 
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  The fusion dataset is the released LUCAS-MEGA dataset. It integrates standardized source datasets into a unified
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  sample-feature representation. Each sample is a soil observation, and each feature is a fused soil or environmental
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+ variable. Features may be numerical values, categorical labels, text fields, vector-valued measurements, images, or links
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  to dense asset files.
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  ### Released Files
 
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  ```
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  The standardized representation contains cleaned and normalized individual source datasets. These datasets have been
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+ converted into common formats but are not yet fused into the final LUCAS-MEGA sample-feature tabular transformation.
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  It includes:
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  python viewer.py
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  ```
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+ <img src="resources/preview.png" alt="preview" style="width:60%;">
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  ---
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