Computed tomography reconstructions of burrow networks for the Opheliid polychaete, Armandia cirrhosa.
Rebecca M HowmanMark N MavrogordatoFernando Alverez-BorgesMartin SolanPublished in: Scientific data (2024)
The morphology and architecture of structures formed by sediment-dwelling invertebrates, such as excavations or burrows, are often assumed to be characteristic of a given species, consistent across a range of environmental conditions, and used to categorise species contributions to ecosystem functioning. However, very few investigations use non-invasive high-resolution techniques capable of determining fine scale variations in burrow form and complexity, or consider whether or not the form of the burrow is context dependent. Here, we provide replicate high-resolution micro-focus computed tomography data for the complete burrow systems of the Opheliid polychaete, Armandia cirrhosa, across a range of salinity and habitat conditions. These data provide reference models which can be used by ecologists investigating intraspecific variation in species traits and organism-sediment interactions and, more generally, by those tasked with pattern and shape recognition of objects that are morphologically highly variable and which adjust their architecture with changing circumstance or context.
Keyphrases
- high resolution
- computed tomography
- climate change
- positron emission tomography
- heavy metals
- electronic health record
- magnetic resonance imaging
- mass spectrometry
- big data
- air pollution
- microbial community
- genetic diversity
- polycyclic aromatic hydrocarbons
- genome wide
- gene expression
- dual energy
- dna methylation
- machine learning
- artificial intelligence