Biomass accumulation and partitioning into different plant parts is a dynamic process during the plant growing period, which is influenced by crop management and climate factors. Adequate knowledge of biomass partitioning is important to manage the crops to gain maximum partitioning of assimilates into plant parts of economic significance, i.e. tubers in potato. This study was conducted using two potato cultivars grown in a sandy soil with center pivot irrigation under full irrigation (FI; irrigation to replenish 100% of water loss by evapotranspiration [ET]) and deficit irrigation (DI; replenish only 80% ET) and two nitrogen(N) rates (pre-plant + in-season N rates of 56 + 112 or 168 + 336 kg/ha). Plant samples were taken on 22, 44, 66, and 98 days after seedling emergence (DAE). With high N rate, tuber biomass of "Umatilla Russet" cultivar in relation to total plant biomass varied from 23% -88% and 25% -86% over 22 to 98 DAE for the FI and DI treatments, respectively. The corresponding partitioning ranges were 30% -93% and 38% -93% at the low N rate. With respect to the "Ranger Russet" cultivar, biomass partitioning to tubers ranged from 36% -82% and 23% -84% for the FI and DI, respectively, at the high N rate, and 29% -87% and 39% -95% at the low N rate. Overall, this study demonstrated that within the range of N rate and irrigation treatments the biomass portioning into tubers was largely similar in both cultivars.

This paper provides a dataset of monthly river pollution index from April 2012 to October 2021 in China based on the published HydroSHEDS dataset and the monthly composite data of NPP-VIIRS night light. Firstly, we extracted the river sections in China from HydroSHEDS, and corrected unreasonable river sections in accordance with the authoritative river data. Secondly, we overlyed the river sections layer and NPP-VIIRS grid to identify the pixels flowing through the water system, and extracted the value of each pixel from the NPP-VIIRS grid. Then, taking the 10 × 10 km grid as the unit, comprehensively considering the flow, brightness and river length of each unit, we designed the river light pollution indexes, and calculated the monthly river light pollution index of each unit. Finally, we obtained a dataset of monthly light pollution index of rivers with the resolution of 10 × 10 km. As the first dataset of river light pollution, this dataset reflects the temporal and spatial distribution and evolution pattern of river light pollution in China, and it can provide reference for river development degree and interference degree evaluation, light pollution analysis and other research.