The Nature Portfolio aims to enhance the reproducibility of published research by promoting consistency and transparency in reporting. This reporting summary outlines the requirements for statistical analysis, software and code availability, data accessibility, and ethical considerations. For statistical analyses, the following must be included: exact sample sizes, whether measurements were taken from distinct samples, the statistical tests used (one- or two-sided), descriptions of covariates and assumptions, statistical parameters including central tendency and variation, test statistics with confidence intervals, effect sizes, and P values. For Bayesian analysis, information on priors and MCMC settings is required. For hierarchical designs, appropriate test levels and full reporting of outcomes are necessary. Effect sizes should be estimated and indicated. Software and code must be made available to editors and reviewers, with a preference for community repositories like GitHub. Data availability statements must be included in all manuscripts, providing accession codes, unique identifiers, or web links for publicly available datasets, along with any restrictions on data access. The authors state that all data supporting the results are available in the paper and its Supplementary Information file, and detailed data can be obtained from the corresponding author upon request. Research involving human participants, their data, or biological material must include full information on the approval of the study protocol. For life sciences research, the study design must disclose relevant information, even if negative. The authors indicate that no specific materials, systems, or methods are relevant to their study. The reporting summary is tailored for life sciences research.The Nature Portfolio aims to enhance the reproducibility of published research by promoting consistency and transparency in reporting. This reporting summary outlines the requirements for statistical analysis, software and code availability, data accessibility, and ethical considerations. For statistical analyses, the following must be included: exact sample sizes, whether measurements were taken from distinct samples, the statistical tests used (one- or two-sided), descriptions of covariates and assumptions, statistical parameters including central tendency and variation, test statistics with confidence intervals, effect sizes, and P values. For Bayesian analysis, information on priors and MCMC settings is required. For hierarchical designs, appropriate test levels and full reporting of outcomes are necessary. Effect sizes should be estimated and indicated. Software and code must be made available to editors and reviewers, with a preference for community repositories like GitHub. Data availability statements must be included in all manuscripts, providing accession codes, unique identifiers, or web links for publicly available datasets, along with any restrictions on data access. The authors state that all data supporting the results are available in the paper and its Supplementary Information file, and detailed data can be obtained from the corresponding author upon request. Research involving human participants, their data, or biological material must include full information on the approval of the study protocol. For life sciences research, the study design must disclose relevant information, even if negative. The authors indicate that no specific materials, systems, or methods are relevant to their study. The reporting summary is tailored for life sciences research.