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 crops Author: Yang Su a, Benoit Gabrielle a, Damien Beillouin b,d,e, David Makowski b,c Affiliations: 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, France 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" 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]

本论文所使用的外部数据库数据集源自论文《High probability of yield gain through conservation agriculture in dry regions for major staple crops》（干旱区保护性农业（conservation agriculture）对主要主食作物增产的高可能性），作者：杨苏（Yang Su）a, 伯努瓦·加布里埃尔（Benoit Gabrielle）a, 达米安·贝卢万（Damien Beillouin）b,d,e, 大卫·马科夫斯基（David Makowski）b,c。
所属机构：
a 法国巴黎萨克雷大学INRAE AgroParisTech ECOSYS联合研究实验室，78850 蒂韦瓦尔-格里尼永
b 法国巴黎萨克雷大学INRAE AgroParisTech 农艺学联合研究实验室，78850 蒂韦瓦尔-格里尼永
c 法国巴黎萨克雷大学INRAE AgroParisTech 应用数学与计算机科学（MIA 518）研究组，75005 巴黎
d 法国国际农业研究中心（CIRAD）UPR HortSys研究单元，F-34398 蒙彼利埃
e 蒙彼利埃大学、法国国际农业研究中心HortSys研究组，蒙彼利埃

本数据集因论文《High probability of yield gain through conservation agriculture in dry regions for major staple crops》的发表要求，已上传至figshare平台。所有数据均为开放获取数据，使用前请访问各数据集的原始网站，并按以下要求引用相关数据集：
1. 若使用美国国家海洋和大气管理局（NOAA）-特拉华大学降水与平均气温数据集，请在参考文献中注明"NOAA/OAR/ESRL PSL - 特拉华大学气温与降水数据集"。
2. 若使用美国国家海洋和大气管理局（NOAA）-最高气温数据集，请在参考文献中注明"NOAA/OAR/ESRL PSL - CPC全球逐日气温数据集"。
3. 若使用美国国家海洋和大气管理局（NOAA）-最低气温数据集，请在参考文献中注明"NOAA/OAR/ESRL PSL - CPC全球逐日气温数据集"。
4. 若使用全球陆面蒸散模型（GLEAM）潜在蒸散量（Potential Evapotranspiration）数据集，请引用以下文献：
Martens, B. 等. GLEAM v3: 基于卫星的陆地蒸发与根区土壤湿度数据集. 地球科学模型开发, 10, 1903–1925 (2017).
Miralles, D. G. 等. 基于卫星观测估算的全球陆地蒸发量. 水文与地球系统科学, 15, 453–469 (2011).
5. 若使用土壤质地（soil texture）数据集，请在参考文献中注明：东京大学. 土壤质地图. http://hydro.iis.u-tokyo.ac.jp/~sujan/research/gswp3/soil-texture-map.html
6. 若使用作物掩膜（Crop mask）数据集，请引用：Portmann, F. T., Siebert, S. & Döll, P. MIRCA2000——2000年左右全球月度灌溉与雨养作物面积：一款适用于农业与水文建模的新型高分辨率数据集. 全球生物地球化学循环, 24, (2010).
7. 若使用作物日历（Crop calendar）数据集，请引用：Sacks, W. J., Deryng, D., Foley, J. A. & Ramankutty, N. 作物播种日期：全球格局分析. 全球生态学与生物地理学, 19, 607-620 (2010).
8.1 若使用皮特尔科夫（Pittelkow）元数据集（meta-dataset），请引用：Pittelkow, C. M. 等. 保护性农业（conservation agriculture）原理的生产力限制与潜力. 自然, 517, 365–368 (2015).
8.2 若使用杨苏（Yang Su）发布的数据集，请引用：Su, Y., Gabrielle, B. & Makowski, D. 传统耕作与免耕制度（no tillage systems）下的全球作物生产数据集. figshare https://doi.org/10.6084/m9.figshare.12155553 (2020)
Su, Y., Gabrielle, B. & Makowski, D. 传统耕作与免耕制度（no tillage systems）下的全球作物生产数据集. 科学数据, https://doi.org/10.1038/s41597-021-00817-x (2020).

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