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Data of variability and joint variability of global crop yields and their association with climate
We present the output data of Robust Principal Component Analysis (RPCA) applied to global crop yield variability of maize, rice, sorghum and soybean (MRSS) as presented in the publication “Climate drives variability and joint variability of global crop yields” (Najafi et al., 2019). Global maps of...
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| Yayımlandı: | Data Brief |
|---|---|
| Asıl Yazarlar: | , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Elsevier
2019
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6660635/ https://ncbi.nlm.nih.gov/pubmed/31372410 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.dib.2019.103745 |
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