Soil data for different depths by interpolation and weighted average methods from the SoilGrids Database

In the context of climate change and land-use system monitoring, several scientific studies on soil biogeochemical cycle modeling (Santos et al., 2022; Santos et al., 2024), niche modeling (Ferreira et al., 2023; Oliveira and Gouveia, 2024), and holistic descriptive diagnostics to aid in the selection of soil attributes in biomes of global importance (e.g., the Amazon biome) (Leite-Filho et al., 2021; Zárate-Salazar et al., 2024) require accessible information available at various soil depths. However, obtaining such data would demand higher investments in laboratory processes and labor. In this regard, databases like SoilGrids (ISRIC, 2020; Poggio et al., 2021) and statistical packages like geodata (Hijmans et al., 2024) provide global raster data for soil layers at 0–5 cm, 5–15 cm, and 15–30 cm, freely accessible for use. Nevertheless, specific soil depth data, such as 0–20 cm (commonly used in carbon stock modeling with the CENTURY model, Santos et al., 2022), are sometimes indispensable. To address this gap, the present database provides raster data for soil layers at depths of 0–10 cm, 0–15 cm, 0–20 cm, 0–25 cm, and 0–30 cm, derived from SoilGrids maps. The database includes the following soil attributes: bulk density (Mg m-3), soil texture (%), soil acidity (pH), nitrogen (g kg–1), organic carbon (g kg–1), and carbon stock (Mg ha–1). For more details about the data and methods, please refer to the README document.