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CLIM4OMICS: a geospatially comprehensive climate and multi-OMICS database for maize phenotype predictability in the United States and Canada.

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Title: CLIM4OMICS: a geospatially comprehensive climate and multi-OMICS database for maize phenotype predictability in the United States and Canada.
Authors: Sarzaeim, Parisa1 (AUTHOR), Muñoz-Arriola, Francisco1,2 (AUTHOR) fmunoz@unl.edu, Jarquin, Diego3 (AUTHOR), Aslam, Hasnat2 (AUTHOR), De Leon Gatti, Natalia4 (AUTHOR)
Source: Earth System Science Data. 2023, Vol. 15 Issue 9, p3963-3990. 28p.
Database: Academic Search Ultimate
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  Data: CLIM4OMICS: a geospatially comprehensive climate and multi-OMICS database for maize phenotype predictability in the United States and Canada.
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  Data: <searchLink fieldCode="AR" term="%22Sarzaeim%2C+Parisa%22">Sarzaeim, Parisa</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Muñoz-Arriola%2C+Francisco%22">Muñoz-Arriola, Francisco</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> fmunoz@unl.edu</i><br /><searchLink fieldCode="AR" term="%22Jarquin%2C+Diego%22">Jarquin, Diego</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Aslam%2C+Hasnat%22">Aslam, Hasnat</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22De Leon Gatti%2C+Natalia%22">De Leon Gatti, Natalia</searchLink><relatesTo>4</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Earth+System+Science+Data%22">Earth System Science Data</searchLink>. 2023, Vol. 15 Issue 9, p3963-3990. 28p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=173009485
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        Value: 10.5194/essd-15-3963-2023
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      – Code: eng
        Text: English
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      – TitleFull: CLIM4OMICS: a geospatially comprehensive climate and multi-OMICS database for maize phenotype predictability in the United States and Canada.
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              Text: 2023
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              Y: 2023
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              Value: 9
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