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 a full description of statistical parameters, including central tendency, variation, and uncertainty estimates. - 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:** - Full information on study protocol approval must be provided in the manuscript. - Follow policies for studies involving human participants, data, or biological material. **Field-Specific Reporting:** - Select the best fit for your research from Life sciences, Behavioral & Social Sciences, Ecological, Evolutionary & Environmental Sciences. **Life Sciences Study Design:** - Provide details on materials, experimental systems, and methods used. **Materials & Experimental Systems:** - Indicate involvement of antibodies, eukaryotic cell lines, animals, plants, etc. **Methods:** - Provide details on specific methods such as ChIP-seq, flow cytometry, MRI-based neuroimaging, etc. **Animals and Other Research Organisms:** - Detailed information on animal handling, housing, and use is provided, including specific breeds and ages used for different tests. **Plants:** - No specific details provided in this section.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 a full description of statistical parameters, including central tendency, variation, and uncertainty estimates. - 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:** - Full information on study protocol approval must be provided in the manuscript. - Follow policies for studies involving human participants, data, or biological material. **Field-Specific Reporting:** - Select the best fit for your research from Life sciences, Behavioral & Social Sciences, Ecological, Evolutionary & Environmental Sciences. **Life Sciences Study Design:** - Provide details on materials, experimental systems, and methods used. **Materials & Experimental Systems:** - Indicate involvement of antibodies, eukaryotic cell lines, animals, plants, etc. **Methods:** - Provide details on specific methods such as ChIP-seq, flow cytometry, MRI-based neuroimaging, etc. **Animals and Other Research Organisms:** - Detailed information on animal handling, housing, and use is provided, including specific breeds and ages used for different tests. **Plants:** - No specific details provided in this section.