Global Soil Temperature and Bioclimatic Variable Data

20201215_SoilT_monthtlyVals_Sampled_gapfilled.csv and 20201215_SoilTemp_monthly_cleaned.csv contain temperature logger locations with sampled covariate data and observations. The collection includes code for mapping pipelines, spatial assessments, and bioclimatic variable calculations at 0-5cm and 5-15cm soil depths. Data and scripts from ETH Zurich support the reproduction of soil offset maps and uncertainty analyses.

Use Cases

• [Generating soil temperature offset maps] based on [temperature logger locations with sampled covariate data]
• [Calculating soil bioclimatic variables] based on [scripts for 0-5cm and 5-15cm depth calculations]
• [Performing spatial leave-one-out cross-validation] based on [the provided Python analysis script]
• [Creating partial dependence plots for model interpretation] based on [the provided R script]
• [Assessing spatial interpolation vs. extrapolation] based on [the PCA and convex hull notebook]

Strengths

• Includes a full suite of reproducible analysis scripts for mapping and uncertainty quantification, indicating a focus on methodological transparency.
• Data is associated with a reputable research institution (ETH Zurich).
• The dataset is described as a 'Version 2 - updated and corrected data', suggesting iterative quality improvement.

Limitations

• Key metadata such as row count, file size, specific column names, and last update date are missing from all provided sources.
• The presence of multiple duplicate or near-identical platform entries with sparse information limits the ability to verify dataset scope and versioning.
• Documentation appears to rely on file naming conventions rather than a centralized README, which may hinder initial usability.

Provenance

Source

Johan van den Hoogen, ETH Zurich

Collection Method

Likely contains field measurements from temperature loggers, processed and combined with covariate data.

Geography

Global (inferred from title and description of 'global' maps)