SOils DAta Harmonization database (SoDaH): an open-source synthesis of soil data from research networks

• Main Authors: William R Wieder, Derek Pierson, Stevan R Earl, Kate Lajtha, Sara Baer, Ford Ballantyne, Asmeret A Berhe, Sharon Billings, Laurel M Brigham, Stephany S Chacon, Jennifer Fraterrigo, Serita D Frey, Katerina Georgiou, Marie-Anne de Graaff, A S Grandy, Melannie D Hartman, Sarah E Hobbie, Chris Johnson, Jason Kaye, Emily Snowman, Marcy E Litvak, Michelle C Mack, Avni Malhotra, Jessica A M Moore, Knute Nadelhoffer, Craig Rasmussen, Whendee L Silver, Benjamin N Sulman, Xanthe Walker, Samantha Weintraub
• Format: Dataset
• Language: unknown
• Published: Environmental Data Initiative 2020
• Subjects: carbon dynamics; carbon; organic carbon; soil; soil bulk density; soil carbon; soil chemistry; soil horizons; soil moisture; soil nitrogen; soil nutrients; soil organic matter; soil ph; soil phosphorus; soil properties; soil respiration; soil samples; soil solution chemistry; soil texture; Movement of Organic Matter; Movement of Inorganic Matter; networks; open source; soil organic carbon; Abiskojaure; Barta; Cedar Creek; East Peak; Elliott; Elva; Finley; Glacier Creek; Gulch; Hastings; Hog Island; Hopland; Lookout; Lower Sheep Creek; Lubbock; Pablo; Petuniabukta; Prospect Hill; Providence Creek; Redondo; Saana; Vassijaure; permafrost; Thermokarst
• Online Access: https://pasta.lternet.edu/package/metadata/eml/edi/521/1

This SOils DAta Harmonization (SoDaH) database is designed to bring together soil carbon data from diverse research networks into a harmonized dataset that can be used for synthesis activities and model development. The research network sources for SoDaH span different biomes and climates, encompass multiple ecosystem types, and have collected data across a range of spatial, temporal, and depth gradients. The rich data sets assembled in SoDaH consist of observations from monitoring efforts and long-term ecological experiments. The SoDaH database also incorporates related environmental covariate data pertaining to climate, vegetation, soil chemistry, and soil physical properties. The data are harmonized and aggregated using open-source code that enables a scripted, repeatable approach for soil data synthesis.