Global carbon isoscapes dataset of C3 plant leaves at 0.05° spatial resolution from 2001 to 2020
This dataset provides the carbon isotope maps of C3 plant leaves based on machine learning algorithms and MODIS satellite remote sensing reflectance, atmospheric carbon, vegetation physiology, and geographic parameters estimated for the period 2001-2020 with a spatial resolution of 0.05 degrees.
If this data set is essential to your work, or if an important result or finding depends on the global carbon isoscapes data, co-authorship may be appropriate. You must inform us of your analysis and publication plans well in advance of submission of a paper, give us an opportunity to read and intellectually contribute to the manuscript, and, if appropriate, offer co-authorship.
Contact: Drs. Guo Chen (chenguo17@cdut.edu.cn) and Xiang Wang (xiangwang_geo@163.com; wangxiang@stu.cdut.edu.cn).
