Related data used in the paper - High probability of yield gain through conservation agriculture in dry regions for major staple crops

Data from external databases used in the paper - High probability of yield gain through conservation agriculture in dry regions for major staple cropsAuthor:Yang Su a, Benoit Gabrielle a, Damien Beillouin b,d,e, David Makowski b,cAffiliations:a UMR ECOSYS, INRAE AgroParisTech, Université Paris-Saclay, 78850 Thiverval-Grignon, Franceb UMR Agronomie, INRAE AgroParisTech, Université Paris-Saclay, 78850 Thiverval-Grignon, Francec Applied mathematics and computer science (MIA 518), INRAE AgroParisTech, Université Paris-Saclay, 75005 Paris, Franced CIRAD, UPR HortSys, F-34398 Montpellier, Francee HortSys, Univ Montpellier, CIRAD, Montpellier, FranceThese datasets are uploaded on figshare due to the publication request for the paper "High probability of yield gain through conservation agriculture in dry regions for major staple crops"All data are open access data, please visit the original websites of the datasets before usage, and please cite the datasets as shown below:1. To use the data from NOAA - University of Delaware Precipitation and Average Temperature, please mention "NOAA/OAR/ESRL PSL - University of Delaware Air Temperature & Precipitation" in the reference.2. To use the data from NOAA - Max Temperature, please mention "NOAA/OAR/ESRL PSL - CPC Global Daily Temperature" in the reference.3. To use the data from NOAA - Min Temperature, please mention "NOAA/OAR/ESRL PSL - CPC Global Daily Temperature" in the reference.4. To use the data from GLEAM - Potential Evapotranspiration, please cite: Martens, B. et al. GLEAM v3: satellite-based land evaporation and root-zone soil moisture. Geoscientific Model Development 10, 1903–1925 (2017).Miralles, D. G. et al. Global land-surface evaporation estimated from satellite-based observations. Hydrology and Earth System Sciences 15, 453–469 (2011).5. To use the data of soil texture, please mention: University of Tokyo. Soil Texture Map. http://hydro.iis.u-tokyo.ac.jp/~sujan/research/gswp3/soil-texture-map.html in the reference.6. To use the data of Crop mask, please cite:Portmann, F. T., Siebert, S. & Döll, P. MIRCA2000-Global monthly irrigated and rainfed crop areas around the year 2000: A new high-resolution data set for agricultural and hydrological modeling. Global Biogeochemical Cycles 24, (2010).7. To use the data of Crop calendar, please cite:Sacks, W. J., Deryng, D., Foley, J. A. & Ramankutty, N. Crop planting dates: an analysis of global patterns. Global Ecology and Biogeography 19, 607-620 (2010).8.1. To use the meta-dataset of Pittelkow, please cite:Pittelkow, C. M. et al. Productivity limits and potentials of the principles of conservation agriculture. Nature 517, 365–368 (2015).8.2. To use the data from Yang Su, please cite:Su, Y., Gabrielle, B. & Makowski, D. A global dataset for crop production under conventional tillage and no tillage practice. figshare https://doi.org/10.6084/m9.figshare.12155553 (2020)Su, Y., Gabrielle, B. & Makowski, D. A global dataset for crop production under conventional tillage and no tillage systems. Scientific Data, https://doi.org/10.1038/s41597-021-00817-x (2020).For more information related the datasets, please contact with author through: [e-mail] or [e-mail]