{"@type": "dcat:Dataset", "accessLevel": "public", "bureauCode": ["005:18"], "contactPoint": {"fn": "Smart, Brian, C.", "hasEmail": "mailto:brian.smart@ndsu.edu"}, "description": "<ul><li><b>Genotypic Data (VCFs):</b><ul><li>All VCF files contain imputed, biallelic SNPs derived from the same population but differ in the filtering strategies applied.</li><li><code>Approach1_...vcf.gz</code>: Filtered using hard thresholds (minQ \u2265 100, max Missing \u2264 0.75, MAF \u2265 0.05, inferred single copy).</li><li><code>Approach2_...vcf.gz</code>: Applies the same hard filters as Approach 1, with an additional Chi-Square filter (p-value \u2264 0.1).</li><li><code>Approach3_...vcf.gz</code>: Filtered using <i>only</i> a Chi-Square filter (p-value \u2264 0.1) on imputed, biallelic SNPs.</li></ul></li><li><b>Phenotypic Data (XLSX):</b><ul><li><code>nectar_phenotype.xlsx</code>: Contains phenotypic measurements for the population, including individual identifiers (<code>ID</code>) and nectar volume data (<code>nectar_mm_T</code>, <code>nectar_mm</code>).</li></ul></li></ul><p></p>", "distribution": [{"@type": "dcat:Distribution", "downloadURL": "https://ndownloader.figshare.com/files/54026390", "format": "xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "title": "nectar_phenotype.xlsx"}, {"@type": "dcat:Distribution", "downloadURL": "https://ndownloader.figshare.com/files/54026396", "format": "gz", "mediaType": "application/gzip", "title": "Approach3_Imputed_biallelicSNPs_ChiSquareFilterP0.1.vcf.gz"}, {"@type": "dcat:Distribution", "downloadURL": "https://ndownloader.figshare.com/files/54026393", "format": "vcf", "mediaType": "text/plain", "title": "Approach2_Imputed_biallelic_singleCopy_minQ100_maxM0.75_maf0.05_ChiSquareFilterP0.1.vcf"}, {"@type": "dcat:Distribution", "downloadURL": "https://ndownloader.figshare.com/files/54026399", "format": "gz", "mediaType": "application/x-gzip", "title": "Approach1_Imputed_biallelic_singleCopy_minQ100_maxM0.75_maf0.05.vcf.gz"}], "identifier": "10.15482/USDA.ADC/28886726.v1", "keyword": ["Sunflower", "Genomic techniques", "Genome sequencing", "data management", "crop genetics"], "license": "https://creativecommons.org/publicdomain/zero/1.0/", "modified": "2025-05-27", "programCode": ["005:040"], "publisher": {"@type": "org:Organization", "name": "Agricultural Research Service"}, "temporal": "2019-04-14/2025-04-14", "title": "Data for: Variant filters using segregation information improve mapping of nectar-production genes in sunflower (Helianthus annuus L.)"}