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The goal of this pipeline is to aggregate, improve, and synthesize multi-dimensional G2F data including Geno-type, Phenotype and Environmental data for GxE modeling. This dataset contains 8,171 phenotype measurements, 376 genotypes of maize lines, environmental data of 84 locations and Python Scripts for Quality control (QC), Consistency control (CC) steps and ML models for GxE interactions. The Environmental data is extracted from NWS, DayMet and NSRDB databases and processed for QC and CC. The environmental dataset contains the minimum temperature (\u003cem\u003eT\u003csub\u003emin\u003c/sub\u003e\u003c/em\u003e)\u003cem\u003e,\u003c/em\u003e average temperature (\u003cem\u003eT\u003csub\u003emean\u003c/sub\u003e\u003c/em\u003e)\u003cem\u003e, \u003c/em\u003emaximum temperature (\u003cem\u003eT\u003csub\u003emax\u003c/sub\u003e\u003c/em\u003e)\u003cem\u003e,\u003c/em\u003e minimum dew point (\u003cem\u003eDP\u003csub\u003emin\u003c/sub\u003e\u003c/em\u003e)\u003cem\u003e,\u003c/em\u003e average dew point (\u003cem\u003eDP\u003csub\u003emean\u003c/sub\u003e\u003c/em\u003e)\u003cem\u003e, \u003c/em\u003emaximum dew point (\u003cem\u003eDP\u003csub\u003emax\u003c/sub\u003e\u003c/em\u003e)\u003cem\u003e, \u003c/em\u003eminimum relative humidity (\u003cem\u003eRH\u003csub\u003emin\u003c/sub\u003e\u003c/em\u003e)\u003cem\u003e, \u003c/em\u003eaverage relative humidity (\u003cem\u003eRH\u003csub\u003emean\u003c/sub\u003e\u003c/em\u003e)\u003cem\u003e, \u003c/em\u003emaximum relative humidity (\u003cem\u003eRH\u003csub\u003emax\u003c/sub\u003e\u003c/em\u003e)\u003cem\u003e, \u003c/em\u003eminimum solar radiation (\u003cem\u003eSR\u003csub\u003emin\u003c/sub\u003e\u003c/em\u003e)\u003cem\u003e, \u003c/em\u003eaverage solar radiation (\u003cem\u003eSR\u003csub\u003emean\u003c/sub\u003e\u003c/em\u003e)\u003cem\u003e, \u003c/em\u003emaximum solar radiation (\u003cem\u003eSR\u003csub\u003emax\u003c/sub\u003e\u003c/em\u003e)\u003cem\u003e, \u003c/em\u003eaccumulative rainfall (\u003cem\u003eR\u003csub\u003eacc\u003c/sub\u003e\u003c/em\u003e)\u003cem\u003e, \u003c/em\u003eaverage wind speed (\u003cem\u003eWS\u003csub\u003emean\u003c/sub\u003e\u003c/em\u003e), and average wind direction (\u003cem\u003eWD\u003csub\u003emean\u003c/sub\u003e\u003c/em\u003e). This package also contains the raw G2F data and preprocessing pipeline.","descriptionType":"Abstract"},{"description":"This work was supported by the Agriculture and Food Research Initiative Grant number NEB-21-176 and NEB-21-166 from the USDA National Institute of Food and Agriculture, Plant Health and Production and Plant Products: Plant Breeding for Agricultural Production. In addition, we thank the Genomes to Fields (G2F) Initiative for providing the database; and Quantifying Life Sciences Initiative at the University of Nebraska-Lincoln.","descriptionType":"Other"}],"geoLocations":[],"fundingReferences":[],"xml":"<?xml version="1.0" encoding="utf-8"?>
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      <creatorName>Sarzaeim, Parisa</creatorName>
      <givenName>Parisa</givenName>
      <familyName>Sarzaeim</familyName>
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      <creatorName>Munoz-Arriola, Francisco</creatorName>
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  <titles>
    <title>CLImate for Maize OMICS: CLIM4OMICS Analytics and Database</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2023</publicationYear>
  <subjects>
    <subject>G2F Initiative</subject>
    <subject>Genotype Data</subject>
    <subject>Phenotype Data</subject>
    <subject>Environmental Data</subject>
    <subject>GxE</subject>
    <subject>Machine Learning</subject>
    <subject>Phenotype and Environmental Interactions</subject>
    <subject>Quality Control and Consistency</subject>
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      <contributorName>Jarquin, Diego</contributorName>
      <givenName>Diego</givenName>
      <familyName>Jarquin</familyName>
      <affiliation>University of Nebraska-Lincoln</affiliation>
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    <contributor contributorType="Other">
      <contributorName>Gatti, Natalia De Leon</contributorName>
      <givenName>Natalia De Leon</givenName>
      <familyName>Gatti</familyName>
      <affiliation>University of Wisconsin-Madison</affiliation>
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    <date dateType="Issued">2023-01-02</date>
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    <description descriptionType="Abstract">&lt;p&gt;CLIM4OMICS Analytics and Database is Improved database of G2F data repository that contains OMICs (genetic and phenotypic) and environmental data for maize yield predictability across 84 experimental fields in the U.S. and province of ON in Canada between 2014-2017. The goal of this pipeline is to aggregate, improve, and synthesize multi-dimensional G2F data including Geno-type, Phenotype and Environmental data for GxE modeling. This dataset contains&amp;nbsp;8,171 phenotype measurements, 376 genotypes of maize lines, environmental data of 84 locations and Python Scripts for Quality control (QC), Consistency control (CC) steps and ML models for GxE interactions. The Environmental data is extracted from NWS, DayMet and NSRDB databases and processed for QC and CC. The environmental dataset contains the minimum temperature (&lt;em&gt;T&lt;sub&gt;min&lt;/sub&gt;&lt;/em&gt;)&lt;em&gt;,&lt;/em&gt; average temperature (&lt;em&gt;T&lt;sub&gt;mean&lt;/sub&gt;&lt;/em&gt;)&lt;em&gt;, &lt;/em&gt;maximum temperature (&lt;em&gt;T&lt;sub&gt;max&lt;/sub&gt;&lt;/em&gt;)&lt;em&gt;,&lt;/em&gt; minimum dew point (&lt;em&gt;DP&lt;sub&gt;min&lt;/sub&gt;&lt;/em&gt;)&lt;em&gt;,&lt;/em&gt; average dew point (&lt;em&gt;DP&lt;sub&gt;mean&lt;/sub&gt;&lt;/em&gt;)&lt;em&gt;, &lt;/em&gt;maximum dew point (&lt;em&gt;DP&lt;sub&gt;max&lt;/sub&gt;&lt;/em&gt;)&lt;em&gt;, &lt;/em&gt;minimum relative humidity (&lt;em&gt;RH&lt;sub&gt;min&lt;/sub&gt;&lt;/em&gt;)&lt;em&gt;, &lt;/em&gt;average relative humidity (&lt;em&gt;RH&lt;sub&gt;mean&lt;/sub&gt;&lt;/em&gt;)&lt;em&gt;, &lt;/em&gt;maximum relative humidity (&lt;em&gt;RH&lt;sub&gt;max&lt;/sub&gt;&lt;/em&gt;)&lt;em&gt;, &lt;/em&gt;minimum solar radiation (&lt;em&gt;SR&lt;sub&gt;min&lt;/sub&gt;&lt;/em&gt;)&lt;em&gt;, &lt;/em&gt;average solar radiation (&lt;em&gt;SR&lt;sub&gt;mean&lt;/sub&gt;&lt;/em&gt;)&lt;em&gt;, &lt;/em&gt;maximum solar radiation (&lt;em&gt;SR&lt;sub&gt;max&lt;/sub&gt;&lt;/em&gt;)&lt;em&gt;, &lt;/em&gt;accumulative rainfall (&lt;em&gt;R&lt;sub&gt;acc&lt;/sub&gt;&lt;/em&gt;)&lt;em&gt;, &lt;/em&gt;average wind speed (&lt;em&gt;WS&lt;sub&gt;mean&lt;/sub&gt;&lt;/em&gt;), and average wind direction (&lt;em&gt;WD&lt;sub&gt;mean&lt;/sub&gt;&lt;/em&gt;). This package also contains the raw G2F data and preprocessing pipeline.&lt;/p&gt;</description>
    <description descriptionType="Other">This work was supported by the Agriculture and Food Research Initiative Grant number NEB-21-176 and NEB-21-166 from the USDA National Institute of Food and Agriculture, Plant Health and Production and Plant Products: Plant Breeding for Agricultural Production. In addition, we thank the Genomes to Fields (G2F) Initiative for providing the database; and Quantifying Life Sciences Initiative at the University of Nebraska-Lincoln.</description>
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