Projected warming disrupts temperate serpulid communities, key engineers of benthic ecosystems: Evidence from in situ thermal experiments

This repository contains the datasets and R scripts used in the manuscript entitled "Projected warming disrupts temperate serpulid communities, key engineers of benthic ecosystems: Evidence from in situ thermal experiments", in preparation for submission to Ecology Letters. The materials include: Primary seasonal pictures analysis (PDF) Seasonal raw analysis and data sets (excel) Finale data sets (CSV) R scripts for statistical analysis and figure generation, with associated functions (R). The repository is structured into folders by data type. Please refer to the READ ME file for detailed instructions. These files support the analyses presented in the manuscript and are made available to promote transparency and reproducibility in ecology research. The merged high-quality image dataset (97 GB) is available from the corresponding author upon reasonable request.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-18
DOI
https://doi.org/10.5281/zenodo.15460128
Primary Topic
Physiological and biochemical adaptations
Type
article
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article

Projected warming disrupts temperate serpulid communities, key engineers of benthic ecosystems: Evidence from in situ thermal experiments

Zenodo (CERN European Organization for Nuclear Research)
Physiological and biochemical adaptations
article

Projected warming disrupts temperate serpulid communities, key engineers of benthic ecosystems: Evidence from in situ thermal experiments

article en

Abstract

This repository contains the datasets and R scripts used in the manuscript entitled "Projected warming disrupts temperate serpulid communities, key engineers of benthic ecosystems: Evidence from in situ thermal experiments", in preparation for submission to Ecology Letters. The materials include: Primary seasonal pictures analysis (PDF) Seasonal raw analysis and data sets (excel) Finale data sets (CSV) R scripts for statistical analysis and figure generation, with associated functions (R). The repository is structured into folders by data type. Please refer to the READ ME file for detailed instructions. These files support the analyses presented in the manuscript and are made available to promote transparency and reproducibility in ecology research. The merged high-quality image dataset (97 GB) is available from the corresponding author upon reasonable request.

Zenodo (CERN European Organization for Nuclear Research)
University of Otago (NZ)
Openalex Percentile: Top 47%
Physiological and biochemical adaptations
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