Compilation of diagnostic horizons data

DOI

This dataset corresponds to a datamart produced by the WP2 team of the Landmark H2020 project. The database was developed by using a decision tree based script which determines the presence or absence of selected WRB diagnostic units (horizons, properties and materials) based on the harmonized soil profile dataset. The python-based code was developed based on the criteria defined by the World Reference Base for Soil Resources 2014 for the selected diagnostic units, by considering the difference in the information content of the input soil profile databases. Besides the presence/absence information, the code returns a percentage of reliability which provides an estimation on the reliability of the prediction of a certain diagnostic unit. The attributes are presented in the "dh_dictionary" file.

Identifier
DOI https://doi.org/10.15454/FIUWGQ
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.15454/FIUWGQ
Provenance
Creator Saby, Nicolas P.A. ORCID logo; Michéli, Erika; Csorba, Adam; Szergi, Tamás; Vadnai, Peter; Dobos, Endre; Bertuzzi, Patrick; Toutain, Benoît; Picaud, Calypso; Gay, Laura; Chenu, Jean-Philippe; Creamer, Rachel
Publisher Recherche Data Gouv
Contributor Nicolas Saby; Chenu, Jean Philippe; Drufin, Sébastien; Saby, Nicolas P.A.
Publication Year 2020
Funding Reference EU H2020 H2020-SFS-2014-2
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Nicolas Saby (INRA)
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 10579996; 6596
Version 2.0
Discipline Agriculture, Forestry, Horticulture; Geosciences; Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Earth and Environmental Science; Environmental Research; Life Sciences; Natural Sciences; Soil Sciences; Farming Systems
Spatial Coverage Orléans, France