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Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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Spatial models of topsoil properties in Romania using digital soil mapping techniques

Authors: Patriche Cristian Valeriu; Roșca Bogdan; Radu Gabriel Pîrnău; Ionuț Vasiliniuc;

Spatial models of topsoil properties in Romania using digital soil mapping techniques

Abstract

The database includes the selected spatial models of soil variables for the Romanian territory derived by digital soil mapping techniques, accepted for publication in: Cristian Valeriu Patriche, Bogdan Roșca, Radu Gabriel Pîrnău, Ionuț Vasiliniuc, Spatial modelling of topsoil properties in Romania using geostatistical methods and machine learning, PLOS ONE, 2023 The database includes the selected spatial models of soil variables for the Romanian territory derived by digital soil mapping techniques. The file names indicate the soil variable and the method used for interpolation (RK – regression - kriging, EML – ensemble machine learning, GWR_OK – Geographically Weighted Regression – Ordinary kriging). The raster data is classified and saved in tif format with a resolution of 100 x 100 m. The spatial reference is Stereographic projection 1970 (Pulkovo_1942_Adj_58_Stereo_70). The soil variables are classified as follows: Variable Classes 1 2 3 4 5 5 7 pH ≤ 5 (strongly acid) 5.1 – 5.8 (moderately acid) 5.9 – 6.8 (weakly acid) 6.9 – 7.2 (neutral) 7.3 – 8.4 (weakly alkaline) 8.5 – 8.8 (moderately alkaline) EC (mS m-1) ≤ 12.75 12.76 – 16.49 16.50 – 20.04 20.05 – 24.18 24.19 – 29.11 29.12 – 35.23 ≤ 35.24 OC (g kg-1) < 7.5 (very low) 7.5 – 17.4 (low) 17.4 – 37.8 (moderate) 37.8 – 61.0 (high) > 61 (very high) CaCO3 (g kg-1) 0 (no carbonates) 1 – 10 (low) 11 – 40 (medium 1) 41 – 80 (medium 2) 81 – 107 (medium 3) P (mg kg-1) < 4 (extremely low) 4 – 8 (very low) 8 – 18 (low) 18 – 36 (medium) 36 – 72 (high) > 72 (very high) N (g kg-1) ≤ 1 (very low) 1.1 – 1.4 (low) 1.5 – 2.0 (medium 1) 2.1 – 2.7 (medium 2) 2.8 – 6.0 (high) > 6 (very high) K (mg kg-1) ≤ 40 * (extremely low) 41 – 65 * (very low) 66 – 130 (low) 131 – 200 (medium) 201 – 300 (high) > 300 (very high) Clay (%) ≤ 25 (low 1) 26 – 32 (low 2) 33 – 40 (medium 1) 41 – 45 (medium 2) ≥ 46 (high) Silt (%) < 25 (medium 1) 25 – 32 (medium 2) 33 – 40 (high 1) 41 – 50 (high 2) > 50 (high 3) Sand (%) < 15 (low 1) 15 – 25 (low 2) 26 – 35 (low 3) 36 – 56 (medium) > 56 (high) * classes not present on the Romanian territory

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Keywords

topsoil properties, Romania, digital soil mapping, LUCAS database

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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