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Second release of the data associated with the paper entitled 'Cluster-enhanced ensemble learning for mapping global monthly surface ozone from 2003 to 2019'

<p>This is the second release of the data associated with the paper entitled &#39;Cluster-enhanced ensemble learning for mapping global monthly surface ozone from 2003 to 2019&#39;.</p> <p>The paper was published&nbsp;in&nbsp;Geophysical Research Letters. We provide the data that has been smoothed by moving filter&nbsp;and not. The data can be loaded by the <em>raster </em>package in <em>R.</em>&nbsp;Note that the unit is ppmv.</p> <p>Please note that both of these files must be in the same directory to open in <em>R</em> properly<em>.</em></p> <p>Please get in touch with the authors if you have any issues, email: xliu21@smail.nju.edu.cn or wanghk@nju.edu.cn</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
8
Access
16
Reuse readiness
8
Engagement
4

Topics