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Soil sand content [%] for continental Europe at 30 m spatial resolution for period 2000-2020: Open Soil Data Cube for Europe

<p>Predictions are based on the 3D Ensemble Machine Learning framework, as implemented in the R environment for statistical computing (Hengl &amp; MacMillan, 2019; Hengl, et al., 2021). For each pixel we provide prediction errors as 1 standard deviation in either log or the original variable scale.</p> <p>The short description of currently available soil properties: sand.tot = sand content [percent];</p> <p>Soil properties were predicted at fixed depths:</p> <p>&nbsp;&nbsp;&nbsp; Surface soil = s0..0cm,<br> &nbsp;&nbsp;&nbsp; Subsoil 1 = s30..30cm,<br> &nbsp;&nbsp;&nbsp; Subsoil 2 = s60..60cm,<br> &nbsp;&nbsp;&nbsp; Subsoil 3 = s100..100cm.</p> <p>To produce estimates for depth intervals e.g. 0&ndash;30 cm, 0&ndash;100 cm best use the trapezoidal rule formula.</p> <p>Periods: 2000 (2000&ndash;2003), 2004 (2004&ndash;2007), 2008 (2008&ndash;2011), 2012 (2012&ndash;2015), 2016 (2016&ndash;2019), 2020;</p>

ShareScore

48/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
8

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