The isotopic composition of atmospheric carbon dioxide (δ 13 C atm ) provides insights into the terrestrial carbon cycle. However, long‐term global δ 13 C atm maps with both high spatial resolution and continuous temporal coverage remain scarce. Here, we present a new global terrestrial dataset of monthly δ 13 C atm isoscapes from 2001 to 2020 at 0.05° spatial resolution, developed by integrating in situ observations with opti...

In deep learning-based fault diagnosis of the wind turbine gearbox, a commonly faced challenge is the domain shift caused by differing operational conditions. Traditional domain adaptation methods aim to learn transferable features from the source domain and apply them to the target data. However, such methods still require access to target domain data during the training process, which limits their applicability in real-time...