TY - GEN A1 - Berio, Fidji A1 - Bayle, Yann A1 - Agret, Sylvie A1 - Baum, Daniel A1 - Goudemand, Nicolas A1 - Debiais-Thibaud, Mélanie T1 - 3D models related to the publication: Hide and seek shark teeth in Random Forests: Machine learning applied to Scyliorhinus canicula T2 - MorphoMuseuM N2 - The present dataset contains the 3D models analyzed in Berio, F., Bayle, Y., Baum, D., Goudemand, N., and Debiais-Thibaud, M. 2022. Hide and seek shark teeth in Random Forests: Machine learning applied to Scyliorhinus canicula. It contains the head surfaces of 56 North Atlantic and Mediterranean small-spotted catsharks Scyliorhinus canicula, from which tooth surfaces were further extracted to perform geometric morphometrics and machine learning. Y1 - 2022 U6 - https://doi.org/10.18563/journal.m3.164 ER - TY - GEN A1 - Knötel, David A1 - Seidel, Ronald A1 - Zaslansky, Paul A1 - Prohaska, Steffen A1 - Dean, Mason N. A1 - Baum, Daniel T1 - Automated Segmentation of Complex Patterns in Biological Tissues: Lessons from Stingray Tessellated Cartilage (Supplementary Material) N2 - Supplementary data to reproduce and understand key results from the related publication, including original image data and processed data. In particular, sections from hyomandibulae harvested from specimens of round stingray Urobatis halleri, donated from another study (DOI: 10.1002/etc.2564). Specimens were from sub-adults/adults collected by beach seine from collection sites in San Diego and Seal Beach, California, USA. The hyomandibulae were mounted in clay, sealed in ethanol-humidified plastic tubes and scanned with a Skyscan 1172 desktop μCT scanner (Bruker μCT, Kontich, Belgium) in association with another study (DOI: 10.1111/joa.12508). Scans for all samples were performed with voxel sizes of 4.89 μm at 59 kV source voltage and 167 μA source current, over 360◦ sample 120 rotation. For our segmentations, the datasets were resampled to a voxel size of 9.78 μm to reduce the size of the images and speed up processing. In addition, the processed data that was generated with the visualization software Amira with techniques described in the related publication based on the mentioned specimens. Y1 - 2017 U6 - https://doi.org/10.12752/4.DKN.1.0 N1 - Supplementary data to reproduce and understand key results from the related publication, including original image data and processed data. ER - TY - GEN A1 - Baum, Daniel A1 - Herter, Felix A1 - Lepper, Verena T1 - Jerash Silver Scroll: Virtually Unfolded Volume T2 - figshare N2 - A new virtual unfolding technique was applied to a silver scroll excavated in Jerash, Jordan, in 2014. As result of the unfolding, 17 lines of writing are clearly visible in the unfolded volumetric data that is published here. Y1 - 2020 U6 - https://doi.org/10.6084/m9.figshare.12145236 ER - TY - GEN A1 - Ehlers, Sarah A1 - Wessel, Andreas A1 - Baum, Daniel T1 - Segmentation of abdominal chordotonal organs based on semithin serial sections in the Rhododendron leafhopper Graphocephala fennahi (Cicadomorpha: Cicadellidae) N2 - For mating, leafhoppers (Cicadellidae) use substrate-borne vibrational signals to communicate. We provide the first complete description of the abdominal chordotonal organs that enable the perception of these signals. This supplementary data provides the aligned stack of 450 semithin serial sections of the first and second abdominal segment of an adult male Rhododendron leafhopper (Graphocephala fennahi). Further, this supplementary data comprises the segmentation files of five chordotonal organs, the exoskeleton, the segmental nerves and the spiracles of the first and the second abdominal segment. Due to time limitations, the structures of only one half of the body were segmented. The specimen was caught by hand net in September 2018 in Berlin-Tiergarten, Germany. Samples were embedded in Araldite® 502 resin and cut transversally in 1 μm thick sections using a Leica ultramicrotome and a DIATOME Histo Jumbo 6.0 mm diamond knife. Sections were placed on microscopic slides and stained with methylene blue/azur II. The images were taken by means of a 3DHISTECH PANNORAMIC SCAN II slide scanner in the Institute of Pathology Charité in Berlin-Mitte, Germany. Images with a voxel size of 0.273809 μm x 0.273809 μm x 1 μm where obtained. The images were converted from MRXS-files to TIFF-files with the 3DHistech software Slide Converter 2.3. Using Photoshop, the images were cropped to the same canvas size and artefacts were removed. All further steps, such as alignment and segmentation, were done with the software Amira. In order to facilitate the further processing of the dataset, the voxels where resampled to a size of 0.547619 μm x 0.547619 μm x 1 μm. Y1 - 2021 U6 - https://doi.org/10.12752/8326 N1 - Supplementary data to reproduce and understand the description of the morphology of the abdominal chordotonal organs in Graphocephala fennahi. ER -