IMARPE Repository provides open access to the scientific and technical outputs of the Instituto del Mar del Perú (IMARPE). This repository hosts research reports, datasets, software tools, publications, projects, packages, and processes developed by its researchers. Its goal is to promote reproducibility, replicability, and the sharing of knowledge. Additionally, the repository is designed as an open platform that is accessible to researchers.

The IMARPE Repository includes the following types of content:

• Evaluation of the north-central Peruvian anchoveta (Engraulis ringens) stock based on survey data.Here
• Evaluation of the north-central Peruvian anchoveta (Engraulis ringens) stock using the SPiCT model. Here

• Evaluation of the available anchoveta stock in the southern region of the Peruvian sea.

• Evaluation of the Peruvian jack mackerel stock.

Tools and libraries developed in R for marine and fisheries applications. These packages are designed to support stock assessment workflows, model marine populations, process biological and acoustic survey data, and perform applied analyses for fisheries management.

R packages designed for end-to-end survey workflows

• pelagicSurvey
• nbSurvey
• retroSurvey
• tableSurvey
• catchSurvey
• popeSurvey

R packages designed to support

• Tools and libraries developed in Python for modeling and analysis of marine data. These packages provide functions for data visualization, statistical modeling, and simulations related to marine ecology.

• Tools and libraries developed in C++ for optimization and simulation in marine ecology. These are high-performance tools used in computational biology, population dynamics modeling, and ecosystem simulations.

We acknowledge the contributions of the following individuals and organizations who have played a significant role in the development of the research, tools, and data sets available in this repository:

• [Collaborator Name] – Expert in marine biology, contributed to the anchoveta stock assessments.
• [Organization Name] – Partner organization providing data on oceanographic conditions.
• [Collaborator Name] – Lead developer of the R packages for fisheries analysis.
• [Collaborator Name] – Contributed to the Python-based modeling tools for marine ecosystem simulations.

We encourage future collaborations and contributions to help advance the field of marine research and the sustainable management of aquatic resources.

For inquiries or collaborations, please contact:

• Email:
• Phone:
• Website: www.imarpe.gob.pe