The 1001 Genomes Consortium analyzed 1,135 Arabidopsis thaliana accessions to reveal the global pattern of genetic variation. They used two pipelines, GMI-GATK and MPI-SHORE, to call variants, and combined the results to generate high-quality variant call format (VCF) files. These files were annotated with SnpEff and included information on chloroplast and mitochondrial variants. Quality control ensured that only accessions meeting specific criteria were included, resulting in a final set of 1,135 accessions. The study also performed genome-wide association studies (GWAS) to identify genetic variants associated with flowering time under different temperature conditions. Population genetic analyses were conducted using tools like Beagle and GERMLINE to impute missing SNPs and identify identity-by-descent regions. Additionally, the study explored the relationship between relics and non-relics, and identified candidate selective sweeps using OmegaPlus. Climate data were integrated to analyze the genetic basis of traits related to climate. The data were released in various formats, including VCF files, pseudogenomes, and SNP matrices, along with tools for analysis. The study provides a comprehensive resource for understanding genetic variation in Arabidopsis thaliana.The 1001 Genomes Consortium analyzed 1,135 Arabidopsis thaliana accessions to reveal the global pattern of genetic variation. They used two pipelines, GMI-GATK and MPI-SHORE, to call variants, and combined the results to generate high-quality variant call format (VCF) files. These files were annotated with SnpEff and included information on chloroplast and mitochondrial variants. Quality control ensured that only accessions meeting specific criteria were included, resulting in a final set of 1,135 accessions. The study also performed genome-wide association studies (GWAS) to identify genetic variants associated with flowering time under different temperature conditions. Population genetic analyses were conducted using tools like Beagle and GERMLINE to impute missing SNPs and identify identity-by-descent regions. Additionally, the study explored the relationship between relics and non-relics, and identified candidate selective sweeps using OmegaPlus. Climate data were integrated to analyze the genetic basis of traits related to climate. The data were released in various formats, including VCF files, pseudogenomes, and SNP matrices, along with tools for analysis. The study provides a comprehensive resource for understanding genetic variation in Arabidopsis thaliana.