该数据集提供了2001-2020年青藏高原71个湖泊的湖冰物候，包括开始冻结日、完全冻结日、开始消融日、完全消融日、完全封冻时间和湖冰覆盖时间。数据集采用动态阈值法提取自经过双星去云和临近日去云后的MODIS每日积雪产品。与粗分辨率被动微波AMSR-E/2湖冰物候数据集对比，开始冻结日的平均绝对误差为2.33-7.25天，完全消融日的平均绝对误差为1.75-4.67天。该数据可为青藏高原湖泊系统响应气候变化的相关研究提供数据基础。
蔡宇, 柯长青
1. 总编号为测量年的统一编号，如：17-001（2017年的第一个测点），野外编号为单次野外编号。 2. 时间：测量时的北京时间，如： 2017/08/01 13:25（2017年8月1日13时25分）。 3. 地理位置：测量点的经纬度，如： 29.6584，101.0884（北纬29.6584°，东经101.0884°），野外由Garmin 63sc型GPS测定。 4. 海拔：测量点的绝对海拔高程，如4500m (海拔4500米)，野外由Garmin 63sc型GPS测定，精度为1 m。 5. 实测植被盖度（%）：在野外用样方（1000 m*1000 m）测得。 6. 大气压：野外用DPH-103型智能数字温湿度大气压计测得，如651.7kPa，精度：0.1 kPa。 7. 气温：野外用DPH-103型智能数字温湿度大气压计测得，如15.61℃，精度：0.01℃。 8. 相对湿度：野外用DPH-103型智能数字温湿度大气压计测得，如79.1%，精度：0.1%。 9. 相对氧含量：野外用TD400-Sh-O2便携式氧气检测仪测得，如20.16%，精度：0.01%。 其中，17-001至17-065采样点的海拔通过Garmin Oregon 450型GPS测定, 精度为1 m；大气压通过卡西欧prg-130gc型气压计测定, 精度为5 hPa；氧气相对含量利用CY-12C型数字测氧仪测得，0-50.0%量程,分辨率为0.1%，精度为±1%。
史培军
乌郁盆地位于青藏高原南部冈底斯山脉南麓，南邻雅鲁藏布江，是研究青藏高原南部新生代构造活动历史的理想地区。乌郁盆地由下向上依次出露古新世-始新世林子宗群火山岩、渐新世日贡拉组火山岩、中新世芒乡组湖相地层和来庆组火山岩、晚中新世-上新世乌郁组和更新世达孜组。利用LA-ICP-MS共测得5件乌郁盆地芒乡组、乌郁组和达孜组地层砂岩和1件现代乌郁河流砂样品碎屑锆石年龄数据。结果显示芒乡组碎屑锆石年龄集中分布在45-80 Ma范围，乌郁组呈现8-15 Ma的主要年龄区间和45-70 Ma的次要年龄区间，达孜组呈现三个主要年龄区间：45-65 Ma、105-150 Ma和167-238 Ma，现代乌郁河流砂样品呈现8-15 Ma的主要年龄区间和45-65 Ma的次要年龄区间（图1）。所有样品中的晚白垩世-早始新世锆石年龄与冈底斯岩基主要岩浆活动时间一致，乌郁组和现代河流样品中出现的8-15 Ma与来庆组火山岩形成时间一致，达孜组中出现的三叠纪-侏罗纪锆石与盆地北部中拉萨地体岩浆活动时间一致。碎屑锆石年龄谱结果和沉积相分析表明青藏高原南部自印度-欧亚板块碰撞以来发育多期次构造-岩浆活动：（1）古近纪林子宗-日贡拉组火山岩；（2）15 Ma构造-岩浆活动结束盆地芒乡组湖相沉积，并形成来庆组火山岩；（3）8 Ma 构造活动造成来庆组火山岩成为盆地主要物源；（4）2.5 Ma盆地发育辫状河，接受北部中拉萨地体物源。第四纪以来，青藏高原南部地貌格局逐渐形成。
孟庆泉
该数据集为基于10Be约束的青藏高原东部流域尺度侵蚀速率，数据集提供了第一作者、发表年份，经纬度以及侵蚀速率。数据收集整理于已发表的期刊文章，且不同的研究结果具有较好的一致性。流域尺度的侵蚀速率的空间部分特征往往与河流地貌特征（如陡峭指数）、气候以及构造活动具有一定的相关性，因此系统的数据集能够为区域范围内侵蚀速率的主控因素分析提供重要的数据支撑，使量化气候与构造在区域范围内对地表过程的贡献成为可能。
张会平
青藏高原灾害编录包含了多种历史灾害的空间分布与类型信息，范围西至巴基斯坦、克什米尔地区，东至青海省，南至喜马拉雅山山麓，北至阿尔金山山麓。数据的生产是由大量人工遥感解译、实地考察、收集地调数据与开源数据结合完成的。数据以矢量点的形式储存，主要内含属性表注明灾害类型、坐标等信息。本数据可以应用于研究灾害的空间分布规律与灾害评价工作。本数据共包含23536条数据，泥石流数据由于参考了地调数据，大多沿路分布，无人区则数据较少。
唐晨晓
This is a dataset of shrubline shifts and recruitment including 24 willow shrubline plots on the eastern Tibetan Plateau. It includes the following information: 1) Shrub recruitment series; 2) Climatic sensitivity of shrub recruitment; 3) Shrubline shifts and their potential drivers.
Yafeng Wang, Eryuan Liang
数据包含：浮游动物物种名录；浮游动物密度；显微镜镜检；高通量测序；数据完善；为青藏高原湖泊构建原始数据集，浮游动物是湖泊水生态调查不可缺少的环节，在系统中处于承上启下的位置，是食物网物质循环和能量流动的重要载体，系统调查和研究青藏高原湖泊浮游动物的群里组成和生物多样性，对于认知青藏高原湖泊生态系统的稳定性和弹性尤为重要，此外浮游动物对环境变化十分敏感，其结构和功能类群的变化可以指示环境压力的强度和变化幅度。
李芸
This file contains the datasets used in a manuscript published in JGR Biogeosciences (Nieberding, F., Wille, C., Ma, Y., Wang, Y., Maurischat, P., Lehnert, L., and Sachs, T.: Winter daytime warming and shift in summer monsoon increase plant cover and net CO2 uptake in a central Tibetan alpine steppe ecosystem, Journal of Geophysical Research: Biogeosciences, 126, e2021JG006441, doi:10.1029/2021JG006441, 2021.). The manuscript contains all the details on how the data was generated and processed and the corresponding code was published in the supplementary material.
Felix Nieberding, 马耀明, Christian Wille, Lukas Lehnert, Yuyang Wang, Philipp Maurischat, Weiqiang Ma, Torsten Sachs
基于雅鲁藏布江流域内已有的262个雨量筒2014—2016年逐月降水数据，利用海拔地形校正和线性校正相结合的方法对China Meteorological Administration (CMA) 和 Global Land Data Assimilation Systems (GLDAS)降水数据进行校正，重建了雅鲁藏布江流域及7个子流域1961–2016年10km分辨率的逐日降水数据。利用该数据驱动VIC水文模型模拟了流域及各子流域径流及冰雪面积，并利用实测径流、MODIS及冰川编目数据进行验证。
苏凤阁, 孙赫
1) Data content (including elements and meanings): Gridded daily average air temperature of the Tibetan Plateau during 1980-2014 at 1-km resolution 2) Data source and processing method: Developed by integrating 8 types of reanalysis data (i.e., NNRP-2, 20CRV2c, JRA-55, ERA-Interim, MERRA2, CFSR, GLDAS and ERA5) downscaled with MODIS-estimated temperature lapse rates based on machine learing 3) Data quality description: According to leave-one-out validation based on stations, the average RMSE at China Adimistration Stations is about 1.7 ℃ and that at high-elevation field stations is about 1.9 ℃ 4) Data application results and prospects: This dataset can be used as air temperature input for driving long-term hydrologial modelling or evaluated for use in climate analysis
ZHANG Fan, ZHANG Hongbo
The data set contains nearly 15 years of eddy covariance data from an alpine steppe ecosystem on the central Tibetan Plateau.The data was processed following standardized quality control methods to allow for comparability between the different years of our record and with other data sets. To ensure meaningful estimates of ecosystem atmosphere exchange, careful application of the following correction procedures and analyses was necessary: (1) Due to the remote location, continuous maintenance of the eddy covariance (EC) system was not always possible, so that cleaning and calibration of the sensors was performed irregularly. Furthermore, the high proportion of bare soil and high wind speeds led to accumulation of dirt in the measurement path of the infrared gas analyzer (IRGA). The installation of the sensor in such a challenging environment resulted in a considerable drift in CO2 and H2O gas density measurements. If not accounted for, this concentration bias may distort the estimation of the carbon uptake. We applied a modified drift correction procedure following Fratini et al. (2014) which, instead of a linear interpolation between calibration dates, uses the CO2 concentration measurements from the Mt. Waliguan atmospheric observatory as reference time series. (2) We applied rigorous quality filtering of the calculated fluxes to retain only fluxes which represent actual physical processes. (3) During the long measurement period, there were several buildings constructed in the near vicinity of the EC system. We investigated the influence of these obstacles on the turbulent flow regime to identify fluxes with uncertain land cover contribution and exclude them from subsequent computations. (4) We calculated the de-facto standard correction for instrument surface heating during cold conditions (hereafter called sensor self heating correction) following Burba et al. (2008) and a revision of the original method following Frank and Massman (2020). (5)Subsequently, we applied the traditional and widely used gap filling procedure following Reichstein et al. (2005) to provide a more complete overview of the annual net ecosystem CO2 exchange.(6) We estimated the flux uncertainty by calculating the random flux error (RE) following Finkelstein and Sims (2001) and by using the standard deviation of the fluxes used for gap filling(NEE_fsd) as a measure for spatial and temporal variation.
Felix Nieberding, 马耀明, Christian Wille, Gerardo Fratini, Magnus Ole Asmussen, 王玉阳, 马伟强, Torsten Sachs
The data include daily precipitation (Precip) amount and daily mean near-surface air temperature (T2M) over the Pan Third Pole region. The data is downscaled by using the Weather Research and Forecasting (WRF) model (3.7.1). The boundary and initial condition come from the fifth-generation global reanalysis product by the European Centre for Medium-Range Weather Forecasts (ECMWF), ERA5. The seasonal cycle and summer mean of precipitation over Tibet is well reproduced in comparison to the in situ observations.
Tinghai Ou
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