title: A dataset comprising 141 magnetic resonance imaging scans of 98 extant sea urchin species.
abstract: BACKGROUND
  Apart from its application in human diagnostics, magnetic resonance imaging (MRI) can also be used to study the internal anatomy of zoological specimens. As a non-invasive imaging technique, MRI has several advantages, such as rapid data acquisition, output of true three-dimensional imagery, and provision of digital data right from the onset of a study. Of particular importance for comparative zoological studies is the capacity of MRI to conduct high-throughput analyses of multiple specimens. In this study, MRI was applied to systematically document the internal anatomy of 98 representative species of sea urchins (Echinodermata: Echinoidea).
  
  
  RESULTS
  The dataset includes raw and derived image data from 141 MRI scans. Most of the whole sea urchin specimens analyzed were obtained from museum collections. The attained scan resolutions permit differentiation of various internal organs, including the digestive tract, reproductive system, coelomic compartments, and lantern musculature. All data deposited in the GigaDB repository can be accessed using open source software. Potential uses of the dataset include interactive exploration of sea urchin anatomy, morphometric and volumetric analyses of internal organs observed in their natural context, as well as correlation of hard and soft tissue structures.
  
  
  CONCLUSIONS
  The dataset covers a broad taxonomical and morphological spectrum of the Echinoidea, focusing on 'regular' sea urchin taxa. The deposited files significantly expand the amount of morphological data on echinoids that are electronically available. The approach chosen here can be extended to various other vertebrate and invertebrate taxa. We argue that publicly available digital anatomical and morphological data gathered during experiments involving non-invasive imaging techniques constitute one of the prerequisites for future large-scale genotype-phenotype correlations.
authors.affiliation: Ziegler Biosolutions, Fahrgasse 5, 79761 Waldshut-Tiengen, Germany.
authors.forename: Alexander
authors.initials: A
authors.lastname: Ziegler
authors.affiliation: Institut für Klinische Radiologie, Universitätsklinikum Münster, Albert-Schweitzer-Campus 1, 48149 Münster, Germany.
authors.forename: Cornelius
authors.initials: C
authors.lastname: Faber
authors.affiliation: Centrum für Schlaganfallforschung, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany.
authors.forename: Susanne
authors.initials: S
authors.lastname: Mueller
authors.affiliation: Institut für Klinische Radiologie, Universitätsklinikum Münster, Albert-Schweitzer-Campus 1, 48149 Münster, Germany.
authors.forename: Nina
authors.initials: N
authors.lastname: Nagelmann
authors.affiliation: Molecular Imaging Group, Leibniz-Institut für Molekulare Pharmakologie, Robert-Rössle-Straße 10, 13125 Berlin, Germany.
authors.forename: Leif
authors.initials: L
authors.lastname: Schröder
keywords: Anatomy; Echinodermata; Echinoidea; Evolution; MRI; Morphology; Morphomics; Repository; Soft tissue; Systematics