The dataset for the soil, leaf and fruit nutrient concentrations of pears in different orchards are displayed in the database. Soil data included pH, organic matter, total N, alkaline hydrolysable N, available P and available K concentrations of 3 different soil layers, 0–20 cm, 20–40 cm and 40–60 cm (named Soil 0–20 cm, Soil 20–40 cm and Soil 40–60 cm, respectively). Leaf and fruit data (named Leaf and Fruit, respectively) included N, P, K, Ca, Fe, Mn, Cu, Zn and B concentrations. In the dataset, CBB represents Circum-Bohai Bay, LP represents Loess Plateau, BJ represents Beijing, HB represents Hebei, SD represents Shandong, LN represents Liaoning, SX represents Shanxi, SaX represents Shaanxi, and different numbers in the same province indicate orchards at different locations.

The dataset for the soil, leaf and fruit nutrient concentrations of pears in different orchards are displayed in the database. Soil data included pH, organic matter, total N, alkaline hydrolysable N, available P and available K concentrations of 3 different soil layers, 0–20 cm, 20–40 cm and 40–60 cm (named Soil 0–20 cm, Soil 20–40 cm and Soil 40–60 cm, respectively). Leaf and fruit data (named Leaf and Fruit, respectively) included N, P, K, Ca, Fe, Mn, Cu, Zn and B concentrations. In the dataset, CBB represents Circum-Bohai Bay, LP represents Loess Plateau, BJ represents Beijing, HB represents Hebei, SD represents Shandong, LN represents Liaoning, SX represents Shanxi, SaX represents Shaanxi, and different numbers in the same province indicate orchards at different locations.

Whether drinking green tea (GT) could reduce the risk of breast cancer (BC) is still controversial. The search was performed using PubMed, Embase and Web of Science databases. The generalised least square method and constrained cubic spline model were performed to assess the dose-response trends between GT consumption and BC risk. The attributable risk proportion (ARP) was also calculated. A total of 16 studies were included and the pooled relative risks was 0.86 (95%CI: 0.75–0.99) for BC risk at the highest vs. lowest levels of GT consumption. GT consumption (p_nonlinearity = .110), drinking GT years (p_nonlinearity = .393) and BC risk were both negatively linearly correlated. Moreover, The ARP results demonstrated in China, people who drink GT do not suffer from BC, 23.5% of which may be attributed to drinking GT. In conclusion, drinking GT may have a positive effect on reducing BC risk, especially in long-term, high doses.

Whether drinking green tea (GT) could reduce the risk of breast cancer (BC) is still controversial. The search was performed using PubMed, Embase and Web of Science databases. The generalised least square method and constrained cubic spline model were performed to assess the dose-response trends between GT consumption and BC risk. The attributable risk proportion (ARP) was also calculated. A total of 16 studies were included and the pooled relative risks was 0.86 (95%CI: 0.75–0.99) for BC risk at the highest vs. lowest levels of GT consumption. GT consumption (p_nonlinearity = .110), drinking GT years (p_nonlinearity = .393) and BC risk were both negatively linearly correlated. Moreover, The ARP results demonstrated in China, people who drink GT do not suffer from BC, 23.5% of which may be attributed to drinking GT. In conclusion, drinking GT may have a positive effect on reducing BC risk, especially in long-term, high doses.

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.