Zhou et al_2020_PNAS_dataset.xlsx

<b>National Long-term Water Use Dataset of China (NLWUD)</b> <b>Citation: </b>Zhou, F.; Bo, Y.; Ciais, P.; Dumas, P.; Tang, Q.; Wang, X.; et al., Deceleration of China’s human water use and its key drivers. <b><i>PNAS</i></b>.<b><i> </i></b>2020, 117: 1-10. https://doi.org/10.1073/pnas.1909902117. <b>Contact:</b><b> </b>Direct questions, additional information regarding publications and research by email to [e-mail]. <b>Data Products:</b>1. Water use by sector and prefecture during the period 1965–2013.2. Water use intensity (WUI) by sector and prefecture during the period 1965–2013.3. Size indicators by sector and prefecture during the period 1965–2013, where the indicators include Irrigated area by crop, Industrial gross value added (GVA) by sub-sector, Service GVA, urban and rural populations, and livestock population by animal.4. LMDI decomposition results of water use change for three periods (1965-1975, 1975-1992, 1992-2013).5. Data for identifying the drivers for irrigation and industrial WUIs and Budyko-type analysis by province during the period 1971–2013, including Potential irrigation requirements, Freshwater availability allocated to irrigation sector, the ratio between the area equipped for water-conserving irrigation and total irrigated area (water-conserving irrigation technologies refer to drip or sprinkler irrigation systems and canal lining), the ratio of recycled water to total industrial WU, the ratio of evaporated water to total industrial WU, and irrigation water consumption.6. GIS files for spatial distribution of 341 prefectures in China.7. Codes used in data analysis/figure creation for the manuscript. The Codes were written by Yan Bo at the Peking University. <b>List of crops, industries, and livestocks included:</b>Wheat, maize, rice, vegetables and fruits, and other crops;thermal electricity, mining, cement, electronics, machinery, metallurgy, petrochemicals, textile, paper making, food processing, and other industries;swine, sheep, poultries, cattle, donkeys, horses, and mules <b>License:</b>Creative Commons Attribution 4.0 International Data may be freely downloaded for research, study, or teaching, but must be cited appropriately. Re-release of the data, or incorporation of the data into a commercial product, is allowed only with explicit permission. If you would like to request permission to use this dataset for another purpose, please contact us at [e-mail].

**中国国家长期用水数据集（National Long-term Water Use Dataset, NLWUD）**
**引用文献**：Zhou F, Bo Y, Ciais P, Dumas P, Tang Q, Wang X, 等. 中国人类用水减速及其关键驱动因素[J]. 《美国国家科学院院刊》(PNAS), 2020, 117: 1-10. https://doi.org/10.1073/pnas.1909902117.
**联系方式**：如有疑问或需获取更多与本研究相关的发表成果及研究资料，请发送邮件至[e-mail]。
**数据产品**：
1. 1965-2013年分行业、分地级市用水量数据；
2. 1965-2013年分行业、分地级市用水强度（Water Use Intensity, WUI）数据；
3. 1965-2013年分行业、分地级市规模指标数据，具体包括：分作物灌溉面积、分细分行业工业增加值（Gross Value Added, GVA）、服务业增加值、城乡常住人口以及分畜禽种类的存栏量；
4. 三个时段（1965-1975年、1975-1992年、1992-2013年）用水变化的对数平均迪氏指数分解（Logarithmic Mean Divisia Index, LMDI）结果；
5. 1971-2013年省级尺度下识别灌溉与工业用水强度驱动因素以及布迪科（Budyko）型分析所需数据，具体包括：潜在灌溉需水量、分配至灌溉领域的可利用淡水量、节水灌溉面积占总灌溉面积的比例（节水灌溉技术指滴灌、喷灌系统及渠道衬砌技术）、再生水占工业总用水量的比例、蒸发水占工业总用水量的比例以及灌溉用水量；
6. 中国341个地级市空间分布地理信息系统（Geographic Information System, GIS）文件；
7. 本文手稿中数据分析与图表绘制所用代码，由北京大学颜博编写。
**涵盖的作物、行业及畜禽种类列表**：
小麦、玉米、水稻、果蔬及其他作物；火力发电、采矿、水泥制造、电子、机械、冶金、石化、纺织、造纸、食品加工及其他行业；生猪、绵羊、家禽、牛、驴、马及骡子。
**使用许可**：本数据集采用知识共享署名4.0国际许可协议（Creative Commons Attribution 4.0 International）。用户可出于科研、学习或教学目的自由下载使用，但需恰当引用本数据集。如需重新发布本数据集或将其整合至商业产品中，仅可在获得明确许可后进行。若需申请以其他用途使用本数据集，请发送邮件至[e-mail]联系我们。