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We identify our work and perspective with Richards emphasis that for climate change and innovative projects to blossom, there needs to be stakeholder alignment between the community, policymakers, and designers

This paper describes data preparation, modeling, and production of OpenLandMap-soildb: global dynamic predictions of soil organic carbon content, soil organic carbon density, bulk density, soil pH in H 2 O, soil texture fractions (clay, sand and silt) and USDA subgroup soil types (USDA soil taxonomy subgroups) at 30 m spatial resolution based on spatiotemporal Machine Learning (Quantile Regression Random Forest with output predictions showing the mean plus the 68 % probability lower and upper prediction intervals)

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Studies have shown that symptoms may temporarily improve after the injection, but a thorough evaluation over a longer period is necessary to assess sustained benefits