CMIP6 historical anthropogenic emissions data from 1980 - 2019 mapped to a 0.1° global grid. The underlying data is identical to that from the 0.5° v2021_04_21 version of this also available at this archive. The 0.5° data was downscaled to 0.1° using 0.1° proxy data from EDGAR. See: https://github...

The utility of transfer learning to improve the performance of deep learning in axon segmentation Data NOTE: If the download button doesn't work, please find the data here . Data: All the input and labeled volumes tf-logs: Tensorflow logs, view with command "tensorboard --logdir [name of folder]"...

Extreme weather events, including fires, heatwaves(HWs), and droughts, have significant impacts on earth, environmental, and power energy systems. Mechanistic and predictive understanding, as well as probabilistic risk assessment of these extreme weather events, are crucial for detecting, planning...