It mainly includes the field soil moisture, groundwater level, soil physical properties, temperature, flux, plant growth, soil nutrients, trunk stem flow, farmland microclimate, soil profile water content and other observation data.

This data includes FAPAR and LAI data of ground sample points collected in 2012.The acquisition equipment were SunScane and lai-2000.Among them, the spread value was obtained by FAPAR measurement for 4 times.The sampling sites were located around zhangye on July 15, 2012 at solstice on July 4, 2012, including arol, linze, jiulongjiang forest farm, danoguchi and wuxing village.A total of 637 sets of data were measured.

This data includes the fAPAR and Lai data collected in 2011. The acquisition equipment is SunScan and LAI-2000. Among them, fAPAR measures 4 times of spread value. The sampling points are located in Zhangye agricultural demonstration base on July 30, 2011, next to national highway 312 in Ejina banner on August 4, sandaoqiao in Ejina banner on August 5 and Jiuquan Satellite Launch Center on August 6, 2011. Around Zhangye from July 4 to July 15, 2012.

The field experiments of water consumption and irrigation water productivity of corn and cotton were arranged in 2012 and 2013, and the field experiments of irrigation water productivity of corn and sunflower under different mulching and cultivation methods were arranged in 2014. The characteristics of water consumption and irrigation water demand of three crops under different soil conditions, as well as the relationship between key soil properties and crop yield and irrigation water productivity were obtained.

The leaf epidermis micromorphological structure of the constructive species in the arid area of the middle and lower reaches of Heihe River Basin. The plant material number is consistent with the number in the sampling table. Refer to the sampling table number to determine the material and its distribution position.

The annual total net primary productivity (NPP) and average productivity of different ecosystems in heihe river basin from 1998 to 2002 were estimated by using the light energy utilization model c-fix, high spatial and temporal resolution remote sensing data of SPOT/VEGETATION, global grid meteorological reanalysis data and land use map of heihe river basin. From 1998 to 2002, the 10-day 1-km resolution SPOT VEGETATATION NDVI (10-day maximum synthesis) data product in the heihe basin, provided by the image processing and archiving center (CTIV) of VITO institute, Belgium, was used to calculate the key parameters fAPAR required by the c-fix model. The daily temperature and total radiation of heihe river basin from 1998 to 2002 were obtained using a global 1.5 °× 1.5 ° grid meteorological data product from MeteoFrance. It contains the spatial distribution pattern of annual accumulation of NPP in heihe basin and the seasonal dynamic map of NPP.The spatial resolution of this data is 1km.

NDVI products based on MODIS (myd13a2 and mod13a2) use the improved hats algorithm to remove the cloud and reconstruct the daily and 1km resolution NDVI data set in 2001-2011. The product coordinate system is longitude and latitude projection, and the spatial range is 96.5e-102.5e, 37.5n-43n. Every day's data is stored as a geotif file. The name is Heihe ﹣ YYY ﹣ NDVI ﹣ recon.ddd.tif, where yyyy is the year and DDD represents a certain day in a specific year. There are 365 days of output data by default every year. The data type is 16bit shaping, the pixel filling value of invalid value is - 3000, the effective data range is - 2000-10000, and the scaling factor is 0.0001.

Based on MODIS Lai products (mcd15a2 and mod15a2), the daily and 1km resolution Lai datasets of 2001-2011 are obtained by using the improved hats algorithm to remove the cloud and reconstruct. The product coordinate system is longitude and latitude projection, and the spatial range is 96.5e-102.5e, 37.5n-43n. Every day's data is stored as a geotif file. The name is Heihe YYY ɇ Lai ɇ recon.ddd.tif, where yyyy is the year and DDD represents a certain day in a specific year. There are 365 days of output data by default every year. The data type is single precision floating-point type, the pixel filling value of invalid value is 255, the valid data range is 0-100, and the scaling factor is 0.1.

The data set is the physiological and ecological parameters of the dominant species of each ecosystem in Heihe River Basin. According to the requirements of tesim model, the data set divides Heihe River basin into seven ecosystems: deciduous broad-leaved forest ecosystem (BRD), evergreen coniferous forest ecosystem (CNF), agricultural field ecosystem (CRP), desert ecosystem (DST), meadow grassland ecosystem (MDS) Shrubbery ecosystem (SHB) and grassland ecosystem (STP). Some of the data in this data set are based on the measured data, some are obtained by reference documents, but after verification, they are applied to the Heihe River Basin. For the data in this data, each parameter of each ecosystem has three values, which are the value in the model, the minimum value and the maximum value of this parameter. The data can provide input parameters for the ecological process model, and the data set is still in further optimization.

Lysimeter is the most effective tool for measuring water consumption per plant, which can provide daily, monthly and seasonal changes of transpiration water consumption per plant. In this project, a lysimeter measurement system for Populus euphratica seedlings is established in the lower reaches of Heihe River, with the observation frequency of 0.5h, mainly including water content changes, infiltration, evapotranspiration, etc.

Soil heat flux is an important part of surface energy balance, and it is the basis of energy balance analysis. In 2011-2013, hfp01 was installed at 5cm and 10cm of Tamarix community in the lower reaches of Heihe River to measure soil heat flux, with the frequency of 0.5h.

This data is the ring width chronology of Three Shrub overlord sample points in Badain Jilin desert in the upper reaches of Heihe River Basin, which represents the climate change of dry and wet in the desert area in the past 160 years.