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This study presents a new global gridded dataset of bioclimatic indicators at 0.5° by 0.5° resolution for historical and future conditions. The dataset, called CMCC-BioClimInd, provides a set of 35 bioclimatic indices, expressed as mean values over each time interval, derived from post-processing both climate reanalysis for historical period (1960–1999) and an ensemble of 11 bias corrected CMIP5 simulations under two greenhouse gas concentration scenarios for future climate projections along two periods (2040–2079 and 2060–2099). This new dataset complements the availability of spatialized bioclimatic information, crucial aspect in many ecological and environmental wide scale applications and for several disciplines, including forestry, biodiversity conservation, plant and landscape ecology. The data of individual indicators are publicly available for download in the commonly used Network Common Data Form 4 (NetCDF4) format., Measurement(s) bioclimatic indicators Technology Type(s) Geographic Information System • computational modeling technique Factor Type(s) temporal interval • geographic location Sample Characteristic - Environment climate system Sample Characteristic - Location global Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.12927443

The most of the global organic carbon is stored in the forest soil. The large quantity of CO2 emitted from soil is a consequence of land use change, both through human activities (e.g. agriculture) or natural hazards (e.g. flooding, landslides, erosion). A net carbon loss from soils adds to the increase in the atmospheric CO2 concentration, probably leading to higher global temperatures. On the other hand, a net soil CO2 sequestration could help to mitigate the greenhouse effect and to improve soil quality. In this purpose, identifying areas suitable for projects aimed to reduce emissions through SOC sequestration, is of the most importance for both developed and developing countries. This report describes the sources and procedures used to develop a global database for SOC content. The FAO approaches and methodologies provided by using Geographic Information Systems (GIS) software, play a crucial role in this process. Global Soil Organic Carbon Database (at 30 arcsec). Available from: https://www.researchgate.net/publication/317958234_Global_Soil_Organic_Carbon_Database_at_30_arcsec [accessed Sep 5, 2017].