Oyster size and weight measurements used for the development of weight-to-weight transformation factors and weight estimation models

The dataset includes oyster size and weight measurements used for calculating weight-to-weight transformation factors for oyster total, shell and soft tissue wet weight to dry weight (n = 30), developing a set of allometric and random forest models to estimate oyster total (n = 1241), shell (n = 240) and soft tissue (n = 120) wet weights. For the random forest models, the additional variables location and type (if oysters were single or clustered) were also considered. The size variables were shell Height (H, umbo hinge to longest edge), Length (L, longest distance across the valve) and Width (Wi, maximum distance between external surfaces of the umbo), these were all measured in mm to the closest 0.01 mm using a digital caliper. Oysters were collected and measured at the Nature conservation area Helgoländer Felssockel, Natura 2000 site Borkum Reef Ground, and offshore wind farm Meerwind Süd I Ost. The allometric models and transformation factors allow for the reuse of data, as well as estimation of further ecological parameters and indices. Furthermore, these models and transformations could greatly enhance the outcome of monitoring efforts by restoration programs.

Data and Resources

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Cite this as

Pineda-Metz, Santiago E A, Merk, Verena, Pogoda, Bernadette (2022). Dataset: Oyster size and weight measurements used for the development of weight-to-weight transformation factors and weight estimation models. https://doi.org/10.1594/PANGAEA.949238

DOI retrieved: 2022

Additional Info

Field Value
Imported on November 29, 2024
Last update November 30, 2024
License CC-BY-4.0
Source https://doi.org/10.1594/PANGAEA.949238
Author Pineda-Metz, Santiago E A
Given Name Santiago E A
Family Name Pineda-Metz
More Authors
Merk, Verena
Pogoda, Bernadette
Source Creation 2022
Publication Year 2022
Resource Type text/tab-separated-values - filename: Pineda-Metz-etal_2022
Subject Areas
Name: BiologicalClassification

Name: Biosphere

Name: Ecology

Name: LakesRivers

Name: Oceans

Related Identifiers
Title: A machine learning model and biometric transformations to facilitate European oyster monitoring
Identifier: https://doi.org/10.1002/aqc.3912
Type: DOI
Relation: References
Year: 2023
Source: Aquatic Conservation-Marine and Freshwater Ecosystems
Authors: Pineda-Metz Santiago E A , Merk Verena , Pogoda Bernadette , Merk Verena , Colsoul Bérenger , Pogoda Bernadette .

Title: Return of the native: Survival, growth and condition of European oysters reintroduced to German offshore waters
Identifier: https://doi.org/10.1002/aqc.3426
Type: DOI
Relation: References
Year: 2020
Source: Aquatic Conservation-Marine and Freshwater Ecosystems
Authors: Pineda-Metz Santiago E A , Merk Verena , Pogoda Bernadette , Merk Verena , Colsoul Bérenger , Pogoda Bernadette .