LUCAS 2015 Topsoil data of Switzerland

The dataset contains the data of physical and chemical properties analysed in samples taken in Switzerland within the context of LUCAS 2015 survey. These data have been used in the study “Comparison of sampling with a spade and gouge auger for topsoil monitoring at the continental scale”, published in the European Journal of Soil Science (https://onlinelibrary.wiley.com/doi/abs/10.1111/ejss.12862). The dataset format is an Excel file.
Resource Type: 
Registration is requested: 
Yes
Author - Contributors: 
Oihane Fernandez Ugalde
Arwyn Jones
R.G. Meuli
Publisher: 
European Commission - Joint Research Centre
Year: 
2019

LUCAS 2015 Topsoil data of Switzerland in support to the paper “Comparison of sampling with a spade and gouge auger for topsoil monitoring at the continental scale”

The dataset contains the data of physical and chemical properties analysed in samples taken in Switzerland within the context of LUCAS 2015 survey. These data have been used in the study “Comparison of sampling with a spade and gouge auger for topsoil monitoring at the continental scale”, published in the European Journal of Soil Science (https://onlinelibrary.wiley.com/doi/abs/10.1111/ejss.12862). The LUCAS 2015 survey had 150 sampling locations distributed in arable, grassland, and woodland land cover classes in mineral soils in Switzerland. At each sampling location, topsoil samples (0–20 cm) were taken with the LUCAS spade and the gouge auger sampling methods. Altogether, 300 samples were taken at the 150 locations: 150 samples with spade and 150 with gouge auger. The samples were analysed for clay, silt and sand contents, organic carbon, nitrogen, potassium, phosphorus, calcium carbonate, pH and electrical conductivity.

The dataset has two sets of data. The first set (columns C to N in the Excel file) contains the data of physical and chemical properties analysed in samples taken with the LUCAS spade method. The second set (columns O to Z in the Excel file) contains the data of the physical and chemical properties in samples taken with the gouge auger method. Every sample is identified with its Soil ID. The first two columns of the dataset are common to the two sets of data and contain the sampling location and its land cover class.

 

Format of the dataset: Excel file (since 25/10/2019 also including GPS coordinates)

Note that the actual coordinates of the sites are not present in this dataset.

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