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Jul 9, 2021 - BDGSF Dataverse
Le Bas, Christine, 2021, "Carte de la profondeur du sol issue de la Base de Données Géographique des Sols de France", https://doi.org/10.15454/7ZDND6, Portail Data INRAE, V1
Cette carte donne la classe de profondeur du sol dominante par Unité Cartographique de Sol de la Base de Données Géographique des Sols de France à 1/1 000 000. Les valeurs des classes sont données par l'attribut pr-cl et sont : 30 : profondeur <= 30 cm 50 : 30 cm < profondeur <=...
Jun 25, 2021 - GisSol Dataverse
Saby, Nicolas, 2019, "Ensemble de statistiques sommaires issues de la Base de Données d'Analyse de Terre (BDAT)", https://doi.org/10.15454/NFQRRB, Portail Data INRAE, V3
La base de données des analyses de terre regroupe les résultats d’analyses des parcelles agricoles effectuées à la demande des agriculteurs sur l’ensemble du territoire national par les laboratoires agréés du Ministère. Les données sont définies par le lieu et la date de prélèvem...
Jun 25, 2021 - GisSol Dataverse
Saby, Nicolas P.A.; Caubet, Manon; Cornu, Sophie; Meunier, Jean-Dominique; Boulonne, Line; Ratié, Céline; Jolivet, Claudy, 2021, "Données de réplication pour : Agriculture increases the bioavailability of silicon, a beneficial element for crop, in temperate soils", https://doi.org/10.15454/CFWBAA, Portail Data INRAE, V2, UNF:6:NbkGfsnGF/EsOzNowOYalA== [fileUNF]
These data concern the study 'Agriculture increases the bioavailability of Silicon, a beneficial element for crop, in temperate soils' published in nature communication. This work was performed in the frame of the French ANR BioSiSol project (ANR-14-CE01-0002) and is based on dat...
Jun 25, 2021 - GisSol Dataverse
Saby, Nicolas; Villanneau, E; Toutain, B; Arrouays, D., 2018, "Seuils de détection d’anomalies pour une série d'éléments traces métalliques (RMQS)", https://doi.org/10.15454/UEZXBY, Portail Data INRAE, V2
Ce jeu de données rassemble le résultats du calcul d'indice de seuils de détection d’anomalies en ETM dans les sols. Ces seuils correspondent à des vibrisses qui ont été calculées à partir des teneurs en éléments traces du RMQS situées dans un rayon de 50 km autour du point consi...
Jun 25, 2021
Chen, Songchao; Martin, Manue, P.; Saby, Nicolas P.A.; Walter, C.; Angers, Denis A.; Arrouays, D., 2018, "Fine resolution map of top- and subsoil carbon sequestration potential in France", https://doi.org/10.15454/OVA9SO, Portail Data INRAE, V2
Although soils have a high potential to offset CO2 emissions through its conversion into soil organic carbon (SOC) with long turnover time, it is widely accepted that there is an upper limit of soil stable C storage, which is referred to SOC saturation. In this study we estimate...
Jun 25, 2021 - LandmarkH2020 Dataverse
Saby, Nicolas P.A.; Micheli, Erika; Chenu, Jean-Philippe; Szergi, Tamas; Csorba, Adam; Bertuzzi, Patrick; Toutain, Benoît; Picaud, Calypso; Creamer, R., 2020, "Landmark H2020 dataset", https://doi.org/10.15454/MUTD4K, Portail Data INRAE, V2, UNF:6:0UcZuU61b9WpsdXcxXxwgw== [fileUNF]
This dataset corresponds to a list of attributes with metadata produced by the WP2 team of the Landmark H2020 project. This list was compiled based on the requirements of the diagnostic approach and the preferences of Work Package 3 for soil function modeling procedure. The list...
Jun 25, 2021 - LandmarkH2020 Dataverse
Gay, Laura; Saby, Nicolas P.A.; Michaud, Aurélia; Montenach, Denis; Resseguier Camille; Houot, Sabine; Szergi, Tamas; Csorba, Adam; Bertuzzi, Patrick; Toutain, Benoît; Picaud, Calypso; Creamer, R., 2019, "French SOERE soil monitoring dataset with related management practices data", https://doi.org/10.15454/JTVE46, Portail Data INRAE, V2, UNF:6:4fuhkc5sprmnC1TL9wTMag== [fileUNF]
This dataset corresponds to a datamart produced by the WP2 team of the Landmark H2020 project. The SOERE PRO is a French research observatory on organic residues recycling in agriculture. It is a network of long-term field experiments, including QualiAgro and PROspective devices,...
Jun 25, 2021 - LandmarkH2020 Dataverse
Saby, Nicolas P.A.; Michéli, Erika; Csorba, Adam; Szergi, Tamás; Vadnai, Peter; Dobos, Endre; Bertuzzi, Patrick; Toutain, Benoît; Picaud, Calypso; Gay, Laura; Chenu, Jean-Philippe; Creamer, Rachel, 2020, "Compilation of diagnostic horizons data", https://doi.org/10.15454/FIUWGQ, Portail Data INRAE, V2, UNF:6:2rdG5IEFLBb+NQVA6RgIjw== [fileUNF]
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...
Jun 4, 2021 - LandmarkH2020 Dataverse
Vrebos, Dirk; Bampa, Francesca; Schulte, Rogier; Creamer, Rachel; Jones, Arwyn; Staes, Jan; Zwetsloot, Marie; Debernardini, Mariana; O’Sullivan, Lilian, 2019, "Science for policy 3: Climate change: no winners when it comes to soil functions – datasets.", https://doi.org/10.15454/YCY217, Portail Data INRAE, V2
This dataset is part of both Deliverable 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following shapefiles: PO3_RCP26_NoIrrigation.shp PO3_RCP45_Irrigation.shp PO3_RCP45_NoIrrigation.shp PO3_RCP85_Irrigation.shp PO3_RCP85_NoIrrigation.shp Th...
Jun 4, 2021 - LandmarkH2020 Dataverse
Vrebos, Dirk; Bampa, Francesca; Schulte, Rogier; Creamer, Rachel; Jones, Arwyn; Staes, Jan; Zwetsloot, Marie; Debernardini, Mariana; O’Sullivan, Lilian, 2019, "Science for policy 2: Leaving land alone: soil functions under GAEC 9 – datasets", https://doi.org/10.15454/TTEBWL, Portail Data INRAE, V3
This dataset is part of both Deliverable 4.3 and 5.3 and was produced by the WP4 team of the Landmark H2020 project. It contains the following shapefiles: PO2_GAEC9_05.shp PO2_GAEC9_10.shp Both shapefiles give an estimation of the change in six soil function performance across th...
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