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skills/venue-templates/assets/journals/nature_article.tex

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+% Nature Journal Article Template
+% For submission to Nature family journals
+% Last updated: 2024
+
+\documentclass[12pt]{article}
+
+% Packages
+\usepackage[margin=2.5cm]{geometry}
+\usepackage{times}
+\usepackage{graphicx}
+\usepackage{amsmath}
+\usepackage{amssymb}
+\usepackage{hyperref}
+\usepackage{lineno}  % Line numbers for review
+\usepackage[super]{natbib}  % Superscript citations
+
+% Line numbering (required for submission)
+\linenumbers
+
+% Title and Authors
+\title{Insert Your Title Here: Concise and Descriptive}
+
+\author{
+First Author\textsuperscript{1}, Second Author\textsuperscript{1,2}, Third Author\textsuperscript{2,*}
+}
+
+\date{}
+
+\begin{document}
+
+\maketitle
+
+% Affiliations
+\noindent
+\textsuperscript{1}Department Name, Institution Name, City, State/Province, Postal Code, Country \\
+\textsuperscript{2}Second Department/Institution \\
+\textsuperscript{*}Correspondence: [email protected]
+
+% Abstract
+\begin{abstract}
+\noindent
+Write a concise abstract of 150-200 words summarizing the main findings, significance, and conclusions of your work. The abstract should be self-contained and understandable without reading the full paper. Focus on what you did, what you found, and why it matters. Avoid jargon and abbreviations where possible.
+\end{abstract}
+
+% Main Text
+\section*{Introduction}
+% 2-3 paragraphs setting the context
+Provide background on the research area, establish the importance of the problem, and identify the knowledge gap your work addresses. Nature papers should emphasize broad significance beyond a narrow specialty.
+
+State your main research question or objective clearly.
+
+Briefly preview your approach and key findings.
+
+\section*{Results}
+% Primary results section
+% Organize by finding, not by experiment
+% Reference figures/tables as you describe results
+
+\subsection*{First major finding}
+Describe your first key result. Reference Figure~\ref{fig:example} to support your findings.
+
+\begin{figure}[ht]
+\centering
+% Include your figure here
+% \includegraphics[width=0.7\textwidth]{figure1.pdf}
+\caption{{\bf Figure title in bold.} Detailed figure caption explaining what is shown, experimental conditions, sample sizes (n), statistical tests, and significance levels. Panels should be labeled (a), (b), etc. if multiple panels are present.}
+\label{fig:example}
+\end{figure}
+
+\subsection*{Second major finding}
+Describe your second key result objectively, without interpretation.
+
+\subsection*{Third major finding}
+Describe additional results as needed.
+
+\section*{Discussion}
+% Interpret results, compare to literature, acknowledge limitations
+
+\subsection*{Main findings and interpretation}
+Summarize your key findings and explain their significance. How do they advance our understanding?
+
+\subsection*{Comparison to previous work}
+Compare and contrast your results with existing literature\cite{example2023}.
+
+\subsection*{Implications}
+Discuss the broader implications of your work for the field and beyond.
+
+\subsection*{Limitations and future directions}
+Honestly acknowledge limitations and suggest future research directions.
+
+\section*{Conclusions}
+Provide a concise conclusion summarizing the main take-home messages of your work.
+
+\section*{Methods}
+% Detailed methods allowing reproducibility
+% Can be placed after main text in Nature
+
+\subsection*{Experimental design}
+Describe overall experimental design, including controls.
+
+\subsection*{Sample preparation}
+Detail procedures for sample collection, preparation, and handling.
+
+\subsection*{Data collection}
+Describe instrumentation, measurement procedures, and data collection protocols.
+
+\subsection*{Data analysis}
+Explain analytical methods, statistical tests, and software used. State sample sizes, replication, and significance thresholds.
+
+\subsection*{Ethical approval}
+Include relevant ethical approval statements (human subjects, animal use, biosafety).
+
+\section*{Data availability}
+State where data supporting the findings can be accessed (repository, supplementary files, available on request).
+
+\section*{Code availability}
+If applicable, provide information on code availability (GitHub, Zenodo, etc.).
+
+\section*{Acknowledgements}
+Acknowledge funding sources, technical assistance, and other contributions. List grant numbers.
+
+\section*{Author contributions}
+Describe contributions of each author using CRediT taxonomy or similar (conceptualization, methodology, investigation, writing, etc.).
+
+\section*{Competing interests}
+Declare any financial or non-financial competing interests. If none, state "The authors declare no competing interests."
+
+% References
+\bibliographystyle{naturemag}  % Nature bibliography style
+\bibliography{references}  % Your .bib file
+
+% Alternatively, manually format references:
+\begin{thebibliography}{99}
+
+\bibitem{example2023}
+Smith, J. D., Jones, M. L. \& Williams, K. R. Groundbreaking discovery in the field. \textit{Nature} \textbf{600}, 123--130 (2023).
+
+\bibitem{author2022}
+Author, A. A. \& Coauthor, B. B. Another important paper. \textit{Nat. Methods} \textbf{19}, 456--
+
+460 (2022).
+
+% Add more references as needed
+
+\end{thebibliography}
+
+% Figure Legends (if not included with figures)
+\section*{Figure Legends}
+
+\textbf{Figure 1 | Figure title.} Comprehensive figure legend describing all panels, experimental conditions, sample sizes, and statistical analyses.
+
+\textbf{Figure 2 | Second figure title.} Another detailed legend.
+
+% Extended Data Figures (optional - supplementary figures)
+\section*{Extended Data}
+
+\textbf{Extended Data Figure 1 | Supplementary data title.} Description of supplementary figure supporting main findings.
+
+\end{document}
+
+% Notes for Authors:
+% 1. Nature articles are typically ~3,000 words excluding Methods, References, Figure Legends
+% 2. Use superscript numbered citations (1, 2, 3)
+% 3. Figures should be high resolution (300+ dpi for photos, 1000 dpi for line art)
+% 4. Submit figures as separate files (TIFF, EPS, or PDF)
+% 5. Double-space the manuscript for review
+% 6. Include line numbers using \linenumbers
+% 7. Follow Nature's specific author guidelines for your target journal
+% 8. Methods section can be quite detailed and placed after main text
+% 9. Check word limits and specific requirements for your Nature family journal
+

skills/venue-templates/assets/journals/neurips_article.tex

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+% NeurIPS Conference Paper Template
+% For submission to Neural Information Processing Systems (NeurIPS)
+% Last updated: 2024
+% Note: Use the official neurips_2024.sty file from the conference website
+
+\documentclass{article}
+
+% Required packages (neurips_2024.sty provides most formatting)
+\usepackage{neurips_2024}  % Official NeurIPS style file (download from conference site)
+
+% Recommended packages
+\usepackage{amsmath}
+\usepackage{amssymb}
+\usepackage{amsthm}
+\usepackage{graphicx}
+\usepackage{algorithm}
+\usepackage{algorithmic}
+\usepackage{hyperref}
+\usepackage{url}
+\usepackage{booktabs}  % For better tables
+\usepackage{multirow}
+\usepackage{microtype}  % Improved typography
+
+% Theorems, lemmas, etc.
+\newtheorem{theorem}{Theorem}
+\newtheorem{lemma}{Lemma}
+\newtheorem{proposition}{Proposition}
+\newtheorem{corollary}{Corollary}
+\newtheorem{definition}{Definition}
+
+% Title and Authors
+\title{Your Paper Title: Concise and Descriptive \\ (Maximum Two Lines)}
+
+% Authors - ANONYMIZED for initial submission
+% For initial submission (double-blind review):
+\author{
+  Anonymous Authors \\
+  Anonymous Institution(s) \\
+}
+
+% For camera-ready version (after acceptance):
+% \author{
+%   First Author \\
+%   Department of Computer Science \\
+%   University Name \\
+%   City, State, Postal Code \\
+%   \texttt{first.author@university.edu} \\
+%   \And
+%   Second Author \\
+%   Company/Institution Name \\
+%   Address \\
+%   \texttt{second.author@company.com} \\
+%   \And
+%   Third Author \\
+%   Institution \\
+%   \texttt{third.author@institution.edu}
+% }
+
+\begin{document}
+
+\maketitle
+
+\begin{abstract}
+Write a concise abstract (150-250 words) summarizing your contributions. The abstract should clearly state: (1) the problem you address, (2) your approach/method, (3) key results/findings, and (4) significance/implications. Make it accessible to a broad machine learning audience.
+\end{abstract}
+
+\section{Introduction}
+\label{sec:introduction}
+
+Introduce the problem you're addressing and its significance in machine learning or AI. Motivate why this problem is important and challenging.
+
+\subsection{Background and Motivation}
+Provide necessary background for understanding your work. Explain the gap in current methods or knowledge.
+
+\subsection{Contributions}
+Clearly state your main contributions as a bulleted list:
+\begin{itemize}
+    \item First contribution: e.g., "We propose a novel architecture for..."
+    \item Second contribution: e.g., "We provide theoretical analysis showing..."
+    \item Third contribution: e.g., "We demonstrate state-of-the-art performance on..."
+\end{itemize}
+
+\subsection{Paper Organization}
+Briefly describe the structure of the remainder of the paper.
+
+\section{Related Work}
+\label{sec:related}
+
+Discuss relevant prior work and how your work differs. Organize by themes or approaches rather than chronologically. Be fair and accurate in describing others' work.
+
+Cite key papers \cite{lecun2015deep, vaswani2017attention, devlin2019bert} and explain how your work builds upon or differs from them.
+
+\section{Problem Formulation}
+\label{sec:problem}
+
+Formally define the problem you're solving. Include mathematical notation and definitions.
+
+\subsection{Notation}
+Define your notation clearly. For example:
+\begin{itemize}
+    \item $\mathcal{X}$: input space
+    \item $\mathcal{Y}$: output space
+    \item $f: \mathcal{X} \rightarrow \mathcal{Y}$: function to learn
+    \item $\mathcal{D} = \{(x_i, y_i)\}_{i=1}^n$: training dataset
+\end{itemize}
+
+\subsection{Objective}
+State your learning objective formally, e.g.:
+\begin{equation}
+\min_{\theta} \mathbb{E}_{(x,y) \sim \mathcal{D}} \left[ \mathcal{L}(f_\theta(x), y) \right]
+\end{equation}
+where $\mathcal{L}$ is the loss function and $\theta$ are model parameters.
+
+\section{Method}
+\label{sec:method}
+
+Describe your proposed method in detail. This is the core technical contribution of your paper.
+
+\subsection{Model Architecture}
+Describe the architecture of your model with sufficient detail for reproduction. Include figures if helpful.
+
+\begin{figure}[t]
+\centering
+% \includegraphics[width=0.8\textwidth]{architecture.pdf}
+\caption{Model architecture diagram. Describe the key components and data flow. Use colorblind-safe colors.}
+\label{fig:architecture}
+\end{figure}
+
+\subsection{Training Procedure}
+Explain how you train the model, including:
+\begin{algorithm}[t]
+\caption{Training Algorithm}
+\label{alg:training}
+\begin{algorithmic}[1]
+\STATE \textbf{Input:} Training data $\mathcal{D}$, learning rate $\alpha$
+\STATE \textbf{Output:} Trained parameters $\theta$
+\STATE Initialize $\theta$ randomly
+\FOR{epoch $= 1$ to $T$}
+    \FOR{batch $(x, y)$ in $\mathcal{D}$}
+        \STATE Compute loss: $\mathcal{L} = \mathcal{L}(f_\theta(x), y)$
+        \STATE Update: $\theta \leftarrow \theta - \alpha \nabla_\theta \mathcal{L}$
+    \ENDFOR
+\ENDFOR
+\RETURN $\theta$
+\end{algorithmic}
+\end{algorithm}
+
+\subsection{Key Components}
+Describe key technical innovations or components in detail.
+
+\section{Theoretical Analysis}
+\label{sec:theory}
+
+If applicable, provide theoretical analysis of your method.
+
+\begin{theorem}
+\label{thm:main}
+State your main theoretical result here.
+\end{theorem}
+
+\begin{proof}
+Provide proof or sketch of proof. Full proofs can go in the appendix.
+\end{proof}
+
+\section{Experiments}
+\label{sec:experiments}
+
+Describe your experimental setup and results.
+
+\subsection{Experimental Setup}
+\textbf{Datasets:} Describe datasets used (e.g., ImageNet, CIFAR-10, etc.).
+
+\textbf{Baselines:} List baseline methods for comparison.
+
+\textbf{Implementation Details:} Provide implementation details including hyperparameters, hardware, training time.
+
+\textbf{Evaluation Metrics:} Define metrics used (accuracy, F1, AUC, etc.).
+
+\subsection{Main Results}
+Present your main experimental results.
+
+\begin{table}[t]
+\centering
+\caption{Performance comparison on benchmark datasets. Bold indicates best performance. Results reported as mean ± std over 3 runs.}
+\label{tab:main_results}
+\begin{tabular}{lcccc}
+\toprule
+Method & Dataset 1 & Dataset 2 & Dataset 3 & Average \\
+\midrule
+Baseline 1 & 85.3 ± 0.5 & 72.1 ± 0.8 & 90.2 ± 0.3 & 82.5 \\
+Baseline 2 & 87.2 ± 0.4 & 74.5 ± 0.6 & 91.1 ± 0.5 & 84.3 \\
+\textbf{Our Method} & \textbf{91.7 ± 0.3} & \textbf{79.8 ± 0.5} & \textbf{94.3 ± 0.2} & \textbf{88.6} \\
+\bottomrule
+\end{tabular}
+\end{table}
+
+\subsection{Ablation Studies}
+Conduct ablation studies to understand which components contribute to performance.
+
+\subsection{Analysis}
+Provide deeper analysis of results, failure cases, limitations, etc.
+
+\section{Discussion}
+\label{sec:discussion}
+
+Discuss your findings, limitations, and broader implications.
+
+\subsection{Limitations}
+Honestly acknowledge limitations of your work.
+
+\subsection{Broader Impacts}
+Discuss potential positive and negative societal impacts (required by NeurIPS).
+
+\section{Conclusion}
+\label{sec:conclusion}
+
+Summarize your main contributions and findings. Suggest future research directions.
+
+% Acknowledgments (add after acceptance, not in submission version)
+\section*{Acknowledgments}
+Thank collaborators, funding sources (with grant numbers), and compute resources. Not included in double-blind submission.
+
+% References
+\bibliographystyle{plainnat}  % or other NeurIPS-compatible style
+\bibliography{references}  % Your .bib file
+
+% Appendix (optional, unlimited pages)
+\appendix
+
+\section{Additional Proofs}
+\label{app:proofs}
+
+Provide full proofs of theorems here.
+
+\section{Additional Experimental Results}
+\label{app:experiments}
+
+Include additional experiments, more ablations, qualitative results, etc.
+
+\section{Hyperparameters}
+\label{app:hyperparameters}
+
+List all hyperparameters used in experiments for reproducibility.
+
+\begin{table}[h]
+\centering
+\caption{Hyperparameters used in all experiments}
+\begin{tabular}{ll}
+\toprule
+Hyperparameter & Value \\
+\midrule
+Learning rate & 0.001 \\
+Batch size & 64 \\
+Optimizer & Adam \\
+Weight decay & 0.0001 \\
+Epochs & 100 \\
+\bottomrule
+\end{tabular}
+\end{table}
+
+\section{Code and Data}
+\label{app:code}
+
+Provide links to code repository (anonymized for review, e.g., anonymous GitHub):
+\begin{itemize}
+    \item Code: \url{https://anonymous.4open.science/r/project-XXXX}
+    \item Data: Available upon request / at [repository]
+\end{itemize}
+
+\end{document}
+
+% Notes for Authors:
+% 1. Main paper: 8 pages maximum (excluding references and appendix)
+% 2. References: unlimited pages
+% 3. Appendix: unlimited pages (reviewed at discretion of reviewers)
+% 4. Use double-blind anonymization for initial submission
+% 5. Include broader impact statement
+% 6. Code submission strongly encouraged (anonymous for review)
+% 7. Use official neurips_2024.sty file (download from NeurIPS website)
+% 8. Font: Times, 10pt (enforced by style file)
+% 9. Figures should be colorblind-friendly
+% 10. Ensure reproducibility: report seeds, hyperparameters, dataset splits
+

skills/venue-templates/assets/journals/plos_one.tex

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+% PLOS ONE Article Template
+% For submission to PLOS ONE and other PLOS journals
+% Last updated: 2024
+
+\documentclass[10pt,letterpaper]{article}
+
+% Packages
+\usepackage[top=0.85in,left=2.75in,footskip=0.75in]{geometry}
+\usepackage{amsmath,amssymb}
+\usepackage{changepage}
+\usepackage[utf8]{inputenc}
+\usepackage{textcomp,marvosym}
+\usepackage{cite}
+\usepackage{nameref,hyperref}
+\usepackage[right]{lineno}
+\usepackage{microtype}
+\usepackage{graphicx}
+\usepackage[table]{xcolor}
+\usepackage{array}
+\usepackage{authblk}
+
+% Line numbering
+\linenumbers
+
+% Set up authblk for PLOS format
+\renewcommand\Authfont{\fontsize{12}{14}\selectfont}
+\renewcommand\Affilfont{\fontsize{9}{11}\selectfont}
+
+% Title
+\title{Your Article Title Here: Concise and Descriptive}
+
+% Authors and Affiliations
+\author[1]{First Author}
+\author[1,2]{Second Author}
+\author[2,$\dagger$]{Third Author}
+
+\affil[1]{Department of Biology, University Name, City, State, Country}
+\affil[2]{Institute of Research, Institution Name, City, Country}
+
+% Corresponding author
+\affil[$\dagger$]{Corresponding author. E-mail: [email protected]}
+
+\date{}
+
+\begin{document}
+
+\maketitle
+
+% Abstract
+\begin{abstract}
+\noindent
+Write a structured or unstructured abstract of 250-300 words. The abstract should be accessible to a broad readership and should clearly state: (1) background/rationale, (2) objectives, (3) methods, (4) principal findings with key data, and (5) conclusions and significance. Do not include citations in the abstract.
+\end{abstract}
+
+% Introduction
+\section*{Introduction}
+
+Provide background and context for your study. The introduction should:
+\begin{itemize}
+    \item Present the rationale for your study
+    \item Clearly state what is currently known about the topic
+    \item Identify the knowledge gap your study addresses
+    \item State your research objectives or hypotheses
+    \item Explain the significance of the research
+\end{itemize}
+
+Review relevant literature \cite{smith2023,jones2022}, setting your work in context.
+
+State your main research question or objective at the end of the introduction.
+
+% Materials and Methods
+\section*{Materials and Methods}
+
+Provide sufficient detail to allow reproduction of your work.
+
+\subsection*{Study Design}
+Describe the overall study design (e.g., prospective cohort, randomized controlled trial, observational study, etc.).
+
+\subsection*{Participants/Samples}
+Describe your study population, sample collection, or experimental subjects:
+\begin{itemize}
+    \item Sample size and how it was determined (power analysis)
+    \item Inclusion and exclusion criteria
+    \item Demographic information
+    \item For animal studies: species, strain, age, sex, housing conditions
+\end{itemize}
+
+\subsection*{Procedures}
+Detail all experimental procedures, measurements, and interventions. Include:
+\begin{itemize}
+    \item Equipment and reagents (with manufacturer, catalog numbers)
+    \item Protocols and procedures (step-by-step if novel)
+    \item Controls used
+    \item Blinding and randomization (if applicable)
+\end{itemize}
+
+\subsection*{Data Collection}
+Describe how data were collected, including instruments, assays, and measurements.
+
+\subsection*{Statistical Analysis}
+Clearly describe statistical methods used:
+\begin{itemize}
+    \item Software and version (e.g., R 4.3.0, Python 3.9 with scipy 1.9.0)
+    \item Statistical tests performed (e.g., t-tests, ANOVA, regression)
+    \item Significance level ($\alpha$, typically 0.05)
+    \item Corrections for multiple testing
+    \item Sample size justification
+\end{itemize}
+
+\subsection*{Ethical Approval}
+Include relevant ethical approval statements:
+\begin{itemize}
+    \item Human subjects: IRB approval, protocol number, consent procedures
+    \item Animal research: IACUC approval, protocol number, welfare considerations
+    \item Field studies: Permits and permissions
+\end{itemize}
+
+Example: "This study was approved by the Institutional Review Board of University Name (Protocol \#12345). All participants provided written informed consent."
+
+% Results
+\section*{Results}
+
+Present your findings in a logical sequence. Refer to figures and tables as you describe results. Do not interpret results in this section (save for Discussion).
+
+\subsection*{First Major Finding}
+Describe your first key result. Statistical results should include effect sizes and confidence intervals in addition to p-values.
+
+As shown in Figure~\ref{fig:results1}, we observed a significant increase in [outcome variable] (mean $\pm$ SD: 45.2 $\pm$ 8.3 vs. 32.1 $\pm$ 6.9; t = 7.42, df = 48, p < 0.001).
+
+\begin{figure}[!ht]
+\centering
+% \includegraphics[width=0.75\textwidth]{figure1.png}
+\caption{{\bf Figure 1. Title of first figure.}
+Detailed figure legend describing what is shown. Include: (A) Description of panel A. (B) Description of panel B. Sample sizes (n), error bars represent [SD, SEM, 95\% CI], and statistical significance indicated by asterisks (* p < 0.05, ** p < 0.01, *** p < 0.001). Statistical test used should be stated.}
+\label{fig:results1}
+\end{figure}
+
+\subsection*{Second Major Finding}
+Describe your second key result, referencing Table~\ref{tab:results1}.
+
+\begin{table}[!ht]
+\centering
+\caption{{\bf Table 1. Title of table.}}
+\label{tab:results1}
+\begin{tabular}{lccc}
+\hline
+\textbf{Condition} & \textbf{Measurement 1} & \textbf{Measurement 2} & \textbf{p-value} \\
+\hline
+Control & 25.3 $\pm$ 3.1 & 48.2 $\pm$ 5.4 & -- \\
+Treatment A & 32.7 $\pm$ 2.8 & 55.1 $\pm$ 4.9 & 0.003 \\
+Treatment B & 41.2 $\pm$ 3.5 & 62.8 $\pm$ 6.2 & < 0.001 \\
+\hline
+\end{tabular}
+\begin{flushleft}
+Values shown as mean $\pm$ standard deviation (n = 20 per group). P-values from one-way ANOVA with Tukey's post-hoc test comparing to control.
+\end{flushleft}
+\end{table}
+
+\subsection*{Additional Results}
+Present additional findings as needed.
+
+% Discussion
+\section*{Discussion}
+
+Interpret your results and place them in the context of existing literature.
+
+\subsection*{Principal Findings}
+Summarize your main findings concisely.
+
+\subsection*{Interpretation}
+Interpret your findings and explain their significance. How do they advance understanding of the topic? Compare and contrast with previous studies \cite{brown2021,williams2020}.
+
+\subsection*{Strengths and Limitations}
+Discuss both strengths and limitations of your study honestly:
+
+\textbf{Strengths:}
+\begin{itemize}
+    \item Large sample size with adequate statistical power
+    \item Rigorous methodology with appropriate controls
+    \item Novel approach or finding
+\end{itemize}
+
+\textbf{Limitations:}
+\begin{itemize}
+    \item Cross-sectional design limits causal inference
+    \item Generalizability may be limited to [specific population]
+    \item Potential confounding variables not measured
+\end{itemize}
+
+\subsection*{Implications}
+Discuss the practical or theoretical implications of your findings.
+
+\subsection*{Future Directions}
+Suggest directions for future research.
+
+% Conclusions
+\section*{Conclusions}
+
+Provide a concise conclusion summarizing the main findings and their significance. Avoid repeating the abstract.
+
+% Acknowledgments
+\section*{Acknowledgments}
+
+Acknowledge individuals who contributed but do not meet authorship criteria, technical assistance, and writing assistance. Example: "We thank Dr. Jane Doe for technical assistance with microscopy and Dr. John Smith for helpful discussions."
+
+% References
+\section*{References}
+
+% Using BibTeX
+\bibliographystyle{plos2015}
+\bibliography{references}
+
+% Or manually formatted (Vancouver style, numbered):
+\begin{thebibliography}{99}
+
+\bibitem{smith2023}
+Smith JD, Johnson ML, Williams KR. Title of article. Journal Abbrev. 2023;45(3):301-318. doi:10.1371/journal.pone.1234567.
+
+\bibitem{jones2022}
+Jones AB, Brown CD. Another article title. PLoS ONE. 2022;17(8):e0234567. doi:10.1371/journal.pone.0234567.
+
+\bibitem{brown2021}
+Brown EF, Davis GH, Wilson IJ, Taylor JK. Comprehensive study title. Nat Commun. 2021;12:1234. doi:10.1038/s41467-021-12345-6.
+
+\bibitem{williams2020}
+Williams LM, Anderson NO. Previous work on topic. Science. 2020;368(6489):456-460. doi:10.1126/science.abc1234.
+
+\end{thebibliography}
+
+% Supporting Information
+\section*{Supporting Information}
+
+List all supporting information files (captions provided separately during submission):
+
+\paragraph{S1 Fig.}
+\textbf{Title of supplementary figure 1.} Brief description.
+
+\paragraph{S2 Fig.}
+\textbf{Title of supplementary figure 2.} Brief description.
+
+\paragraph{S1 Table.}
+\textbf{Title of supplementary table 1.} Brief description.
+
+\paragraph{S1 Dataset.}
+\textbf{Raw data.} Complete dataset used in analysis (CSV format).
+
+\paragraph{S1 File.}
+\textbf{Supplementary methods.} Additional methodological details.
+
+% Author Contributions (CRediT taxonomy recommended)
+\section*{Author Contributions}
+
+Use CRediT (Contributor Roles Taxonomy):
+\begin{itemize}
+    \item \textbf{Conceptualization:} FA, SA
+    \item \textbf{Data curation:} FA
+    \item \textbf{Formal analysis:} FA, SA
+    \item \textbf{Funding acquisition:} TA
+    \item \textbf{Investigation:} FA, SA
+    \item \textbf{Methodology:} FA, SA, TA
+    \item \textbf{Project administration:} TA
+    \item \textbf{Resources:} TA
+    \item \textbf{Software:} FA
+    \item \textbf{Supervision:} TA
+    \item \textbf{Validation:} FA, SA
+    \item \textbf{Visualization:} FA
+    \item \textbf{Writing – original draft:} FA
+    \item \textbf{Writing – review \& editing:} FA, SA, TA
+\end{itemize}
+
+(FA = First Author, SA = Second Author, TA = Third Author)
+
+% Data Availability Statement (REQUIRED)
+\section*{Data Availability}
+
+Choose one of the following:
+
+\textbf{Option 1 (Public repository):} 
+All data are available in the [repository name] repository at [URL/DOI].
+
+\textbf{Option 2 (Supporting Information):}
+All relevant data are within the paper and its Supporting Information files.
+
+\textbf{Option 3 (Available on request):}
+Data cannot be shared publicly because of [reason]. Data are available from the [institution/contact] (contact via [email]) for researchers who meet the criteria for access to confidential data.
+
+\textbf{Option 4 (Third-party):}
+Data are available from [third party] (contact: [details]) for researchers who meet criteria for access.
+
+% Funding Statement (REQUIRED)
+\section*{Funding}
+
+State all funding sources including grant numbers. If no funding, state "The authors received no specific funding for this work."
+
+Example: "This work was supported by the National Science Foundation (NSF) [grant number 123456 to TA] and the National Institutes of Health (NIH) [grant number R01-234567 to TA]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript."
+
+% Competing Interests (REQUIRED)
+\section*{Competing Interests}
+
+Declare any financial or non-financial competing interests. If none, state: "The authors have declared that no competing interests exist."
+
+If competing interests exist, declare them explicitly: "Author TA is a consultant for Company X. This does not alter our adherence to PLOS ONE policies on sharing data and materials."
+
+\end{document}
+
+% Notes for Authors:
+% 1. PLOS ONE has no length limit - be concise but thorough
+% 2. Use Vancouver style for citations [1], [2], [3]
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