Soil Physico-Chemical Data and PCA Scores from 54 Sites in Berlin and Brandenburg

Soil physico-chemical data from 54 sites across Berlin and Brandenburg. The dataset includes PCA axis scores from a separate environmental dataset, with the first axis relating to urban parameters, the second to soil chemistry, and the third to connectivity, heavy metals, and pH. It was contributed by James Whitehead and is available under an Open Access (green) license.

Use Cases

• Analyze urban-rural soil gradients based on PCA axis 1 scores related to urban parameters.
• Model relationships between soil chemistry and environmental factors using PCA axis 2 scores.
• Investigate correlations between soil connectivity, heavy metal content, and pH using PCA axis 3 scores.
• Perform spatial analysis of soil physico-chemical properties across 54 sites in Berlin and Brandenburg.

Strengths

• Data covers 54 distinct geographic sites, providing a spatial sample.
• PCA analysis reduces environmental data to three interpretable axes of variation (urban, chemical, connectivity/metals/pH).

Limitations

• The separate environmental dataset used for PCA is currently embargoed and not included.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file size are unknown, which may limit suitability assessment.

Provenance

Source

James Whitehead via paperswithcode

Collection Method

Data collection from 54 sites; PCA performed on a separate environmental dataset.

Geography

Berlin and Brandenburg, Germany