[{"@context":"http:\/\/schema.org\/","@type":"Dataset","identifier":"https:\/\/doi.org\/10.17043\/wagner-2024-soc-1","@id":"https:\/\/doi.org\/10.17043\/wagner-2024-soc-1","name":"High resolution datasets of soil organic carbon and nitrogen stocks in Canadian lowland tundra","description":"This dataset is a quantification soil organic carbon (SOC) and nitrogen (N) stocks for two study sites in Canadian lowland tundra at a spatial resolution of 2 m. The sampling was carried out during field campaigns in 2018 at Ptarmigan Bay and in 2019 at Komakuk Beach.\r\n\r\nThe field data was collected within the Nunataryuk project (EU Horizon 2020 project, 2017\u200a\u2013\u200a2023) to investigate soil properties, in particular SOC and N stocks, between two sites one of which was glaciated and one not during the last glacial maximum. \r\n\r\nThis dataset includes field sample data and predicted soil organic carbon and nitrogen stocks in tiff format for the two study areas in the following depth increments: 0\u200a\u2013\u200a5 cm, 5\u200a\u2013\u200a15 cm, 15\u200a\u2013\u200a30 cm, 30\u200a\u2013\u200a60 cm and 60\u200a\u2013\u200a100 cm. Further we provide tiff files estimating the uncertainty for each predicted depth increment.","url":"http:\/\/bolin.su.se\/data\/wagner-2024-soc-1","keywords":["Terrestrial","Soil","Random forest","Machine learning","Soil organic carbon","Tundra","Permafrost","Earth science > Land surface > Soils > Carbon"],"creator":{"@type":"Person","name":"Julia Wagner, Victoria Martin, Niek J. Speetjens, Willeke A\u2019Campo, Luca Durstewitz, Rachele Lodi, Michael Fritz, George Tanski, Jorien E. Vonk, Andreas Richter, Annett Bartsch, Hugues Lantuit,  Gustaf Hugelius"},"citation":"Wagner, J., Martin, V., Speetjens, N. J., A\u2019Campo, W., Durstewitz, L., Lodi, R., Fritz, M., Tanski, G., Vonk, J. E., Richter, A., Bartsch, A., Lantuit, H., & Hugelius, G. (2023). High resolution mapping shows differences in soil carbon and nitrogen stocks in areas of varying landscape history in Canadian lowland tundra. Geoderma, 438 (116652), 116652. https:\/\/doi.org\/10.1016\/j.geoderma.2023.116652\r\n\r\nYigini, Y., Olmedo, G.F., Reiter, S., Baritz, R., Viatkin, K., Vargas, R., (2018). Soil Organic Carbon Mapping Cookbook 2nd edition. FAO.\r\n\r\nKuhn, M., 2022. caret: Classification and Regression Training. R package version 6.0-92","license":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","isAccessibleForFree":true,"includedInDataCatalog":{"@type":"DataCatalog","name":"Bolin Centre for Climate Research, Stockholm University","identifier":"https:\/\/bolin.su.se\/data\/","url":"https:\/\/bolin.su.se\/data\/"},"distribution":{"@type":"DataDownload","encodingFormat":"application\/zip","contentUrl":"https:\/\/bolin.su.se\/data\/uploads\/wagner-2024-soc-1.zip"},"size":999309398,"isBasedOn":"Wagner, J., Martin, V., Speetjens, N. J., A\u2019Campo, W., Durstewitz, L., Lodi, R., Fritz, M., Tanski, G., Vonk, J. E., Richter, A., Bartsch, A., Lantuit, H., & Hugelius, G. (2023). High resolution mapping shows differences in soil carbon and nitrogen stocks in areas of varying landscape history in Canadian lowland tundra. Geoderma, 438 (116652), 116652. https:\/\/doi.org\/10.1016\/j.geoderma.2023.116652\r\n\r\nYigini, Y., Olmedo, G.F., Reiter, S., Baritz, R., Viatkin, K., Vargas, R., (2018). Soil Organic Carbon Mapping Cookbook 2nd edition. FAO.\r\n\r\nKuhn, M., 2022. caret: Classification and Regression Training. R package version 6.0-92","temporalCoverage":"\/"}]