Overview of Datasets¶
This section provides an overview of the datasets available in LimeSoDa. The datasets vary in size, features, and sensor types used for data collection.
Dataset Characteristics¶
The following characteristics are documented for each dataset:
Dataset_ID: Unique identifier/name of the dataset
Number_of_samples: Number of analyzed soil samples (rows) in the dataset
Number_of_features: Number of features (columns) in the dataset
Sensors: Types of sensors used to create the features
Coordinates: Availability of coordinates or dummy covariates
Location: Geographic location where data was collected
Study_area_in_ha: Size of the study area in hectares
Sampling_Design: Brief description of the sampling methodology
Sensor Types¶
The datasets incorporate data from various sensor types:
CSMoisture: Capacitive soil moisture
DEM: Digital elevation model and terrain parameters
ERa: Apparent electrical resistivity
Gamma: Gamma-ray activity
MIR: Mid infrared spectroscopy
NIR: Near infrared spectroscopy
pH-ISE: Ion selective electrodes for pH determination
RSS: Remote sensing derived spectral data
VI: Vegetation indices
vis-NIR: Visible and near infrared spectroscopy
XRF: X-ray fluorescence derived elemental concentrations
Dataset Details¶
For detailed information about specific datasets, please refer to their individual documentation pages:
The complete dataset contains 31 distinct soil sample collections with varying characteristics and purposes.