Related data used in the paper - High probability of yield gain through conservation agriculture in dry regions for major staple crops|农业产量数据集|保护性农业数据集

Data from external databases used in the paper - High probability of yield gain through conservation agriculture in dry regions for major staple crops<br><br><br>Author:<br>Yang Su ^a, Benoit Gabrielle ^a, Damien Beillouin ^b,d,e, David Makowski ^b,c<br>Affiliations:<br>^a UMR ECOSYS, INRAE AgroParisTech, Université Paris-Saclay, 78850 Thiverval-Grignon, France^b UMR Agronomie, INRAE AgroParisTech, Université Paris-Saclay, 78850 Thiverval-Grignon, France^c Applied mathematics and computer science (MIA 518), INRAE AgroParisTech, Université Paris-Saclay, 75005 Paris, France^d CIRAD, UPR HortSys, F-34398 Montpellier, France^e HortSys, Univ Montpellier, CIRAD, Montpellier, France<br><br>These 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"<br>All data are open access data, please visit the original websites of the datasets before usage, and please cite the datasets as shown below:<br>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 &amp; Precipitation" in the reference.<br>2. To use the data from NOAA - Max Temperature, please mention "NOAA/OAR/ESRL PSL - CPC Global Daily Temperature" in the reference.<br>3. To use the data from NOAA - Min Temperature, please mention "NOAA/OAR/ESRL PSL - CPC Global Daily Temperature" in the reference.<br><br>4. To use the data from GLEAM - Potential Evapotranspiration, please cite: <br>Martens, B. et al. GLEAM v3: satellite-based land evaporation and root-zone soil moisture. <i>Geoscientific Model Development</i> <b>10</b>, 1903–1925 (2017).<br><br>Miralles, D. G. et al. Global land-surface evaporation estimated from satellite-based observations<i>. Hydrology and Earth System Sciences</i> <b>15</b>, 453–469 (2011).<br><br><br>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.<br>6. To use the data of Crop mask, please cite:<br>Portmann, F. T., Siebert, S. &amp; 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. <i>Global Biogeochemical Cycles</i> <b>24</b>, (2010).<br><br>7. To use the data of Crop calendar, please cite:<br>Sacks, W. J., Deryng, D., Foley, J. A. &amp; Ramankutty, N. Crop planting dates: an analysis of global patterns. <i>Global Ecology and Biogeography</i> <b>19</b>, 607-620 (2010).<br><br>8.1. To use the meta-dataset of Pittelkow, please cite:<br>Pittelkow, C. M. et al. Productivity limits and potentials of the principles of conservation agriculture. <i>Nature</i> <b>517</b>, 365–368 (2015).<br><br>8.2. To use the data from Yang Su, please cite:<br>Su, Y., Gabrielle, B. &amp; Makowski, D. A global dataset for crop production under conventional tillage and no tillage practice. <i>figshare</i> https://doi.org/10.6084/m9.figshare.12155553 (2020)<br><br>Su, Y., Gabrielle, B. &amp; Makowski, D. A global dataset for crop production under conventional tillage and no tillage systems. <i>Scientific Data,</i> https://doi.org/10.1038/s41597-021-00817-x (2020).<br><br><br>For more information related the datasets, please contact with author through: [e-mail] or [e-mail]