Published June 20, 2023
| Version V1
Dataset
Open
Supplementary files for "Data-driven estimation of nitric oxide emissions from global soils based on dominant vegetation covers"
Creators
- 1. China Agricultural University
- 2. Wuhan University
Description
In-situ observations collected from publications, data-driven model codes, and DNDC simulation files of this study are uploaded. In-situ observations included 1,356 observations of soil nitric oxide (NO) emissions from 192 sites, including 1,032 for cropland soils from 70 sites, 114 for grassland soils from 36 sites, and 208 for forest soils from 86 sites. Data-driven models provided three machine learning methods, including random forest (RF), generalized boosted regression model (GBM), and radial basis function (RBF). The DNDC simulation files included simulation files of 51 selected sites.
Files
Files
(168.3 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:c4d5633897fa7967539d423d94b68c11
|
14.6 kB | Download |
|
md5:d0cccb2e226f3c2951147c630f547bc9
|
78.3 kB | Download |
|
md5:66fea2547d31adddc53a6a7f5a291005
|
75.5 kB | Download |