Nature Portfolio aims to enhance the reproducibility of published research through structured and transparent reporting. This section outlines specific requirements for statistical analyses, software and code availability, data availability, and field-specific reporting. **Statistics:** - Provide the exact sample size (n) for each group/condition. - State whether measurements were from distinct samples or repeated on the same sample. - Describe the statistical tests used (one- or two-sided) and any assumptions or corrections. - Include descriptions of covariates, statistical parameters (means, standard deviation, confidence intervals), and effect sizes. - For null hypothesis testing, provide test statistics, confidence intervals, effect sizes, degrees of freedom, and P values. - For Bayesian analysis, detail prior choices and Markov chain Monte Carlo settings. - For complex designs, identify the appropriate level for tests and report outcomes. **Software and Code:** - Manuscripts using custom algorithms or software must make it available to editors and reviewers. - Encourage code deposition in community repositories like GitHub. - Follow Nature Portfolio guidelines for submitting code and software. **Data:** - All manuscripts must include a data availability statement. - Provide access codes, unique identifiers, or web links for publicly available datasets. - Describe any restrictions on data availability. - Ensure compliance with policies for clinical datasets or third-party data. **Research Involving Human Participants, Their Data, or Biological Material:** - Full information on study protocol approval must be provided. **Field-Specific Reporting:** - Select the best fit for your research (Life Sciences, Behavioural & Social Sciences, Ecological, Evolutionary & Environmental Sciences). **Study Design:** - Disclose sample size, data exclusions, replication, and randomization for all studies. **Materials & Experimental Systems:** - Report on the source of seed stocks, novel plant genotypes, and authentication procedures. **Methods:** - Provide details on specific methods used, such as ChIP-seq, flow cytometry, and MRI-based neuroimaging. This comprehensive approach ensures that research is transparent, reproducible, and adheres to high standards of scientific integrity.Nature Portfolio aims to enhance the reproducibility of published research through structured and transparent reporting. This section outlines specific requirements for statistical analyses, software and code availability, data availability, and field-specific reporting. **Statistics:** - Provide the exact sample size (n) for each group/condition. - State whether measurements were from distinct samples or repeated on the same sample. - Describe the statistical tests used (one- or two-sided) and any assumptions or corrections. - Include descriptions of covariates, statistical parameters (means, standard deviation, confidence intervals), and effect sizes. - For null hypothesis testing, provide test statistics, confidence intervals, effect sizes, degrees of freedom, and P values. - For Bayesian analysis, detail prior choices and Markov chain Monte Carlo settings. - For complex designs, identify the appropriate level for tests and report outcomes. **Software and Code:** - Manuscripts using custom algorithms or software must make it available to editors and reviewers. - Encourage code deposition in community repositories like GitHub. - Follow Nature Portfolio guidelines for submitting code and software. **Data:** - All manuscripts must include a data availability statement. - Provide access codes, unique identifiers, or web links for publicly available datasets. - Describe any restrictions on data availability. - Ensure compliance with policies for clinical datasets or third-party data. **Research Involving Human Participants, Their Data, or Biological Material:** - Full information on study protocol approval must be provided. **Field-Specific Reporting:** - Select the best fit for your research (Life Sciences, Behavioural & Social Sciences, Ecological, Evolutionary & Environmental Sciences). **Study Design:** - Disclose sample size, data exclusions, replication, and randomization for all studies. **Materials & Experimental Systems:** - Report on the source of seed stocks, novel plant genotypes, and authentication procedures. **Methods:** - Provide details on specific methods used, such as ChIP-seq, flow cytometry, and MRI-based neuroimaging. This comprehensive approach ensures that research is transparent, reproducible, and adheres to high standards of scientific integrity.