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Temporary Dataset Download: Soil Organic Matter (SOM) fractions

Dataset Access Expires on

19-February-2026

Notifications

  1. The data provided has been prepared for use by internal research activities in the Joint Research Centre (JRC, Ispra)  in the research of soil organic matter fraction.
  2. The data were developed for research purposes of the JRC (European Commission). The JRC does not accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The JRC agrees to provide the data free of charge but is not bound to justify the content and values contained in the databases.
  3. The permission to use the data specified above is granted on condition that, under NO CIRCUMSTANCES are these data passed to third parties. They can be used for any purpose, including commercial gain.
  4. The user agrees to: 
       a) Make proper reference to the source of the data when disseminating the results to which this agreement relates; 
       b) Participate in the verification of the data (e.g. by noting and reporting any errors or omissions discovered to the JRC).

 

(29/04/2021)

Data and R Scripts are available here

This folder contains the original measured SOM fractions of cropland, grassland, shrubland  and forest subsamples of the LUCAS survey (2009). The SOM was divided by size into:

  • Particulate organic matter (POM, >53 mm)
  • Mineral-associated organic matter (MAOM, 53<mm)

The corresponding fractions were also analyzed for the Nitrogen content

Additional LUCAS original soil properties are also included. This dataset is an extension and revision of the previous dataset reporting only forest and grassland land cover.

Metadata

File name: LCS.csv

Spatial coverage: 25 European Union Member States (excluded Romania, Bulgaria, Croatia)

Input data source: LUCAS point data

Fields:

Coarse, clay, silt, sand = %

pH_in_H2O, pH_in_CaCl

OC = organic carbon (g C kg-1);  N = soil nitrogen (g N kg-1)

CaCO3 = g kg-1; available P and K = mg  kg-1; CEC = cmol(+) kg-1

MAT =mean annual temperature (°C), RAIN = annual precipitation (mm);   Ndep_WD_tx = total N deposition (kg ha-1); EROS = soil erosion (Mg ha-1); WT = water table depth (m)*

s_c_prc = % of silt+clay; OC_pom_g_kg = organic carbon in POM (g/kg); OC_sc_g_kg = organic carbon in MAOM (g/kg); N_pom_g_kg = nitrogen in POM (g/kg); N_sc_g_kg = nitrogen in MAOM; OC_tf = POMC+MAOMC; N_tf= POMN+MAOMN

The database contains a field called ‘POINT_ID’, which can be used to join the data with the general LUCAS soil survey (https://esdac.jrc.ec.europa.eu/projects/lucas). Nevertheless, geographical coordinates of LUCAS points (in WSG84) are provided.

*see table S1 of supplementary for data sources

 

R scripts

All the .R files contain the basic elaborations reported in the paper: “Different climate sensitivity of particulate and mineral-associated organic carbon” in press in Nature Geoscience

‘1_RF_MAOMpred.R’ Random Forest regression models to predict C and N in MAOM fraction from measured data (LCS.csv)

‘ 2_RF_cross_valid.R’ cross validation of the RF models

‘ 3_dMAOM_POM_pred.R’ multiregression models to predict change in POM and MAOM in relation to temperature, precipitation, sand X precipitation and land cover.

 

Due to the number of spatial layers necessary  to upscale the above models, we provide only the final maps (in raster format).

However, all the elaboration steps can be seen in this repository:  https://github.com/elugato/SOC_saturation  

 

If you need further assistance and information, contact: emanuele.lugato@ec.europa.eu

 

Raster layers

Resolution= 1 km, projection =LAEA, format = Geotiff

MAOM_g_kg = C content in MAOM (g C kg-1 soil) in the top 20 cm

POM_g_kg = C content in PAOM (g C kg-1 soil) in the top 20 cm

dMAOM_Mg_ha = cumulative change in C stock of MAOM (Mg C ha-1 in 0-20 cm) at ~2080

dPOM_Mg_ha = cumulative change in C stock of PAOM (Mg C ha-1 in 0-20 cm) at ~2080

 

Additional raster multilayers reporting ensemble estimates (see Supplementary Table 2)

MAOM_ENS_g_kg = C content in MAOM (g C kg-1 soil) in the top 20 cm

MAOM_ENS_ Mg_ha = C stock in MAOM (Mg C ha-1) in the top 20 cm

 

POM_ENS_g_kg = C content in POM (g C kg-1 soil) in the top 20 cm

POM_ENS_ Mg_ha = C stock in POM (Mg C ha-1) in the top 20 cm

 

(18/11/2019)

Data and R Scripts are available here

This folder contains the original measured Soil Organic Matter (SOM) fractions of grassland and forest subsamples of the LUCAS survey (2009).

 The SOM was divided by size into:

  • Particulate organic matter (POM, >53 mm)
  • Mineral-associated organic matter (MAOM, 53<mm)

The corresponding fractions were also analyzed for the Nitrogen content.

Metadata

File name: SOM_fraction.csv  (186 Records).

Spatial coverage: 25 European Union Member States (excluded Romania, Bulgaria, Croatia)

Input data source: LUCAS point data

Fileds explanation:

  • s_c_prc = % of silt+clay;
  • OC_pom_g_kg = organic carbon in POM (g/kg);
  • OC_sc_g_kg = organic carbon in MAOM (g/kg);
  • N_pom_g_kg = nitrogen in POM (g/kg);
  • N_sc_g_kg = nitrogen in MAOM

The database contains a field called ‘POINT_ID’, which can be used to join the data with the general LUCAS soil survey (https://esdac.jrc.ec.europa.eu/projects/lucas). Nevertheless, geographical coordinates of LUCAS points (in WSG84) are provided.

R workspace and scripts

ll the .R files contain the basic data and elaborations reported in the paper: “Soil carbon storage informed by particulate and mineral-associated organic matter” in press in Nature Geoscience

Please, refers to the instruction contains in the ‘1_master_script.R’ to run the different scripts that reproduce the statistical procedure and results contained in the paper.

If you need further assistance and information, contact: emanuele.lugato@ec.europa.eu

Lugato, E., Lavallee, J.M., Haddix, M.L., Panagos, P., Cotrufo, F. 2021. Different climate sensitivity of particulate and mineral-associated soil organic matter. Nat. Geosci. (2021). https://doi.org/10.1038/s41561-021-00744-x
 

Cotrufo, M.F., Ranalli, M.G., Haddix, M.L. et al. 2019. Soil carbon storage informed by particulate and mineral-associated organic matter. Nat. Geosci.  doi:10.1038/s41561-019-0484-6

Joint Research Centre - European Soil Data Centre (ESDAC)
ID 124751
Date - Time Thu, 02/05/2026 - 19:23
Name of User Luca Bernardini
Organization BOKU University
Type of Organization University
-- Other
E-mail luca.bernardini96@gmail.com
Purpose Research on relation of SOM fractions to environmental covariates
Notes

When making reference to the ESDAC

  • Panagos, P., Van Liedekerke, M., Borrelli, P., Köninger, J., Ballabio, C., Orgiazzi, A., Lugato, E., Liakos, L., Hervas, J., Jones, A.  Montanarella, L. 2022. European Soil Data Centre 2.0: Soil data and knowledge in support of the EU policies. European Journal of Soil Science, 73(6), e13315. DOI: 10.1111/ejss.13315
  • Panagos P., Van Liedekerke M., Jones A., Montanarella L., “European Soil Data Centre: Response to European policy support and public data requirements”; (2012) Land Use Policy, 29 (2), pp. 329-338. doi:10.1016/j.landusepol.2011.07.003
  • European Soil Data Centre (ESDAC), esdac.jrc.ec.europa.eu, European Commission, Joint Research Centre