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Fig. 5. 3D in A new beaked whale record from the upper Miocene of Menorca, Balearic Islands, based on CT-scan analysis of limestone slabs
Fig. 5. 3D reconstruction resulting from the CT-scan of the ziphiid cetacean Messapicetus cf. longirostris Bianucci, Landini, and Varola, 1992 skull (MDM- 2029) inside two limestone slabs from the Tortonian of Menorca (Balearic Islands, Spain); in ventral view (A1), ventral view without the mandibles (A2).
Fig. 11 in A new beaked whale record from the upper Miocene of Menorca, Balearic Islands, based on CT-scan analysis of limestone slabs
Fig. 11. Geographic distribution of fossil remains of Messapicetus from upper Miocene deposits worldwide (see text for data sources).
Fig. 6 in Diversity in rhynchocephalian Clevosaurus skulls based on CT reconstruction of two Late Triassic species from Great Britain
Fig. 6. Cranial bones of lepidosaur rynchocephalian Clevosaurus cambrica Keeble, Whiteside, and Benton, 2018 (NHMUK PV R37014) from Late Triassic, Pant-y-ffynnon, Wales, UK. A. The right premaxilla in medial (A1) and lateral (A2) views. B. The right maxilla in lateral (B1) and medial (B2) views. C. The right (C1) and left (C2) nasal in dorsal view. D. The right (D1, D4) and left (D2, D3) frontals in dorsal (D1, D2) and ventral (D3, D4) views. E. The right (E1, E4) and left (E2, E3) parietals in dorsal (E1, E2) and ventral (E3, E4) views.
Fig. 2 in Diversity in rhynchocephalian Clevosaurus skulls based on CT reconstruction of two Late Triassic species from Great Britain
Fig. 2. Newly identified cranial bones present in lepidosaur rhynchocephalian Clevosaurus hudsoni Swinton, 1939 (NHMUK PV R36832) from Rhaetian, Cromhall Quarry, England, UK. A. The right postorbital in medial view, identified from amongst unidentified bones from the original surface dataset created by O'Brien et al. (2018). B. The left squamosal in lateral view, re-identified here from its previous suggested identity of a pterygoid flange. C. The right squamosal in lateral view, like A identified here from amongst previously unidentified bones from the original dataset. D. The left quadrate in medial view, partially resegmented from the original dataset to be more complete. E. The right quadrate in medial view, newly segmented and identified here. F. Left palatine in ventral view, partially resegmented from the original data set, note the number of palatine teeth (nine). G. The right pterygoid in medial view, partially resegmented from the original dataset, seen here with a newly segmented pterygoid flange. H. The newly identified pila antotica, and newly segmented para- and basisphenoids in left (H1) and right (H2) lateral; ventral (H3), and dorsal (H4) views. I. The left coronoid in medial view.
Fig. 12 in Diversity in rhynchocephalian Clevosaurus skulls based on CT reconstruction of two Late Triassic species from Great Britain
Fig. 12. Reconstruction of the skulls of lepidosaur rynchocephalians. A. Clevosaurus hudsoni Swinton, 1939 (based on NHMUK PV R36832). B. Clevosaurus cambrica Keeble, Whiteside, and Benton, 2018 (based on NHMUK PV R37014). In dorsal (A1, B1), posterior (A2, B2), ventral (A3, B3), lateral (A4, B4) views. Bones types that are absent in their respective datasets are highlighted in orange. Note that the pterygoids of C. cambrica bear two rows of multiple teeth, but the exact number of teeth at this time is unknown.
Fig. 9 in Diversity in rhynchocephalian Clevosaurus skulls based on CT reconstruction of two Late Triassic species from Great Britain
Fig. 9. The reassembled braincase of lepidosaur rynchocephalian Clevosaurus cambrica Keeble, Whiteside, and Benton, 2018 (NHMUK PV R37014) from Late Triassic, Pant-y-ffynnon, Wales, UK. In dorsal (A1), posterior (A2), ventral (A3), and lateral (A4) views. Abbreviations: l., left; r., right.
Fig. 4 in Diversity in rhynchocephalian Clevosaurus skulls based on CT reconstruction of two Late Triassic species from Great Britain
Fig. 4. The resegmented bones of lepidosaur rynchocephalian Clevosaurus cambrica Keeble, Whiteside, and Benton, 2018 (NHMUK PV R37014) from Late Triassic, Pant-y-ffynnon, Wales, UK; in dorsal (A1) and ventral (A2) views. Abbreviations: l., left; r., right.
Fig. 1 in Diversity in rhynchocephalian Clevosaurus skulls based on CT reconstruction of two Late Triassic species from Great Britain
Fig. 1. The two surface data-sets of lepidosaur rynchocephalians. A. Clevosaurus hudsoni Swinton, 1939 (NHMUK PV R36832) from Rhaetian, Cromhall Quarry, England, UK, the left side of the digitally segmented skull in lateral view, adapted from O'Brien et al. (2018). B. Clevosaurus cambrica Keeble, Whiteside, and Benton, 2018 (NHMUK PV R37014) from Late Triassic, Pant-y-ffynnon, Wales, UK, available prior to this paper, the digitally segmented skull in ventral view, adapted from Keeble et al. (2018).
Fig. 8 in Diversity in rhynchocephalian Clevosaurus skulls based on CT reconstruction of two Late Triassic species from Great Britain
Fig. 8. Cranial bones present in lepidosaur rynchocephalian Clevosaurus cambrica Keeble, Whiteside, and Benton, 2018 (NHMUK PV R37014) from Late Triassic, Pant-y-ffynnon, Wales, UK. A. The right palatine in ventral view. B. The left and right vomers in ventral view. C. The left epipterygoid in lateral (C1) and posterior (C2) views. D. The left pterygoid and ectopterygoid in ventral view. E. The left quadrate in medial (E1) and posterior (E2) views.
Fig. 7 in Diversity in rhynchocephalian Clevosaurus skulls based on CT reconstruction of two Late Triassic species from Great Britain
Fig. 7. Cranial bones of lepidosaur rynchocephalian Clevosaurus cambrica Keeble, Whiteside, and Benton, 2018 (NHMUK PV R37014) from Late Triassic, Pant-y-ffynnon, Wales, UK. A. The reassembled left prefrontal. B. The left postfrontal. C. The reassembled left postorbital. D. The left squamosal. E. The left supratemporal. In lateral (A1–D1, E) and medial (A2–D2) views.
Fig. 11 in Diversity in rhynchocephalian Clevosaurus skulls based on CT reconstruction of two Late Triassic species from Great Britain
Fig. 11. The vertebral column and pectoral girdle elements of lepidosaur rynchocephalian Clevosaurus cambrica Keeble, Whiteside, and Benton, 2018 NHMUK PV R37013 and NHMUK PV R37014) from Late Triassic, Pant-y-ffynnon, Wales, UK. A. The axial-atlas complex in dorsal (A1), lateral (A2), ventral (A3) and anterior (A4) views. B. The third cervical vertebra in right lateral (B1) and anterior (B2) views. C. A dorsal vertebra in right lateral (C1) and anterior (C2) views. D. The five cervical vertebrae present in the scans taken of NHMUK PV R37014, in lateral view, with asterisk indicating the cervical vertebra seen in B; note the posterior-most vertebra terminates prematurely due to the extent of the CT scans. E. The partial vertebral column of NHMUK PV R37013 in lateral view, with asterisk indicating the dorsal vertebra seen in C. F. The left (F1) and right (F2) scapula in lateral view. G. The left (G1) and right (G2) coracoids in lateral view.
Fig. 13 in Diversity in rhynchocephalian Clevosaurus skulls based on CT reconstruction of two Late Triassic species from Great Britain
Fig. 13. The reconstructed braincases of lepidosaur rynchocephalians. A. Clevosaurus cambrica Keeble, Whiteside, and Benton, 2018. B. Clevosaurus hudsoni Swinton, 1939. C. Sphenodon punctatus (from Maisano 2001). In dorsal (A1–C1) and ventral (A2–C2) views. Bones types that are absent in their respective datasets are highlighted in orange.
Fig. 10 in Diversity in rhynchocephalian Clevosaurus skulls based on CT reconstruction of two Late Triassic species from Great Britain
Fig. 10. The reconstructed left mandible of lepidosaur rynchocephalians. A. Clevosaurus cambrica Keeble, Whiteside, and Benton, 2018 (NHMUK PV R37014) from Late Triassic, Pant-y-ffynnon, Wales, UK. B. Clevosaurus hudsoni Swinton, 1939 (NHMUK PV R36832) from Rhaetian, Cromhall Quarry, England, UK. Note: the anterior tip of the dentary is highlighted in blue to indicate where bone is taken from C. cambrica. In lateral (A1, B1), medial (A2, B2), and dorsal (A4, B4) views, simplified reconstruction in medial view (A3, B3).
Fig. 14 in Diversity in rhynchocephalian Clevosaurus skulls based on CT reconstruction of two Late Triassic species from Great Britain
Fig. 14. The reconstructed braincases of lepidosaur rynchocephalians. A. Clevosaurus cambrica Keeble, Whiteside, and Benton, 2018. B. Clevosaurus hudsoni Swinton, 1939. C. Sphenodon punctatus (from Maisano 2001). In posterior (A1–C1) and right lateral (A2–C2) views. Bones types that are absent in their respective datasets are highlighted in orange.
Fig. 15. A in Diversity in rhynchocephalian Clevosaurus skulls based on CT reconstruction of two Late Triassic species from Great Britain
Fig. 15. A size scale comparison of the skulls of lepidosaur rynchocephalians. A. Sphenodon punctatus (from Maisano 2001). B. Clevosaurus cambrica Keeble, Whiteside, and Benton, 2018. C. Clevosaurus hudsoni Swinton, 1939; C3, based on NHMUK PV R36832 (adapted from illustrations by Lavinia Gandolfi). In lateral (A1–C1, C4) and dorsal (A2–C2) views.
CT-Scan Image Dataset of Residual Fluid-Driven Fracture in a Molasse de Villarlod Sandstone Core - Post-Radial Hydraulic Fracture Experiment - M04 Sample
<h3><strong>Dataset Description</strong></h3> <p>This dataset contains high-resolution CT-scan images that capture the residual fracture surface within a core sample of Molasse de Villarlod Sandstone. The core sample was extracted after conducting a radial hydraulic fracture experiment on a 25 × 25 × 25 cm cubic block of sandstone (M04 Smaple). The experiment was designed to simulate fluid-driven fracture propagation and closure, and the resulting fracture path was preserved in the core sample.</p> <p><strong>Core Location in the M04 Cube Sample:</strong></p> <ul> <li><strong>Z:</strong> 12.5 cm</li> <li><strong>South-North:</strong> 12.5 cm</li> <li><strong>West-East:</strong> 13.5 cm to 23.3 cm (Coring direction)</li> </ul> <p>This spatial information specifies the exact location and orientation of the core extraction within the M04 cube sample.</p> <h4><strong>CT-scan instrument details:</strong></h4> <p>The M04 sample was analyzed using an X-ray micro-CT scanner (RX-Solutions Ultratom) under consistent scanning protocols and parameters. A reflective 230 kV microfocus X-ray source (Hamamatsu L10801) equipped with a 0.2 mm thick copper filter, a tungsten cathode, and a tungsten target was employed for the imaging process. The scans were conducted with a voltage of 120 kV and a current intensity of 80 mA.</p> <p>The volume data acquisition was performed in continuous helical mode, ensuring complete coverage of the sample’s height. For sample M04, 5 full rotations were executed, with 1312 projections captured for each 360° rotation, allowing for highly precise volume reconstruction. The X-ray beam attenuation was recorded by an XL Varex Paxscan 2530HE plane detector with a resolution of 2176 x 1792 pixels, and an exposure time of 0.50 seconds per projection.</p> <p>The acquired projections were processed using RX-Solutions X-act software with Filtered Backprojection to reconstruct a corrected volume. This reconstruction yielded approximately 9000 slices in 16-bit TIFF format, with voxel dimensions of 10 x 10 x 10 microns, providing detailed insights into the internal structure of the sample.</p> <h4><strong>Key Features:</strong></h4> <ul> <li> <p><strong>Fracture Characteristics</strong>: The fracture observed in the CT-scans represents a residual opening that remains post-fracturation. It is entirely contained within the core, showcasing the internal fracture geometry resulting from the hydraulic fracturing process.</p> </li> <li> <p><strong>CT-Scan Details</strong>: The CT-scans were taken perpendicular to the fracture surface, offering a detailed cross-sectional view of the fracture at different depths. This orientation is critical for accurately capturing the fracture morphology and allows for the reconstruction of the fracture surface in 3D.</p> </li> <li> <p><strong>Material Information</strong>: The core sample is composed of Molasse de Villarlod Sandstone, a sedimentary rock which is porous (18% porosity) and permeable. This material choice is relevant for studying fracture closure subjected to the leak-off of the fluid inside the porous medium.</p> </li> <li> <p><strong>Experimental Context</strong>: The radial hydraulic fracture experiment aimed to simulate the propagation of hydraulic fracture and its closure due to the leakage of fluid inside fracture into the porous medium. The dataset provides valuable insights into fracture propagation patterns, surface roughness, and the effects of fluid-driven fractures in porous media.</p> </li> </ul> <h4><strong>Applications:</strong></h4> <p>This dataset is particularly valuable for researchers and engineers involved in:</p> <ul> <li>Fracture mechanics and surface characterization</li> <li>3D reconstruction and visualization of fracture surfaces</li> <li>Surface roughness analysis</li> <li>Hydraulic fracturing studies</li> <li>Geomechanical modeling</li> </ul> <h4><strong>File Structure:</strong></h4> <p>The dataset is organized into zip-folder contains .tif images corresponding to different depths within the core. Each tif-image is a CT-scan for that specific depth, labeled according to their position along the fracture path.</p> <h4><strong>Processing code:</strong></h4> <p>Follow the <strong>URL repository</strong> in the software section to access to the code for processing these images and reconstructing the fracture surfaces.</p> <p><strong>Acknowledgment:</strong></p> <p>We would like to extend our deepest thanks to Gary Perrenoud, Albert Taureg, and Lionel Pittet, the technical specialists of the PIXE platform at École Polytechnique Fédérale de Lausanne (EPFL). Their expertise and support in operating the CT-scan machine were important to the success of this research. We greatly appreciate their dedication and the high-quality work they provided.</p> <p><strong>Contact and Support:</strong></p> <p>Email:</p> <p>Brice Lecampion: brice.lecampion@epfl.ch</p> <p>Mohsen Talebkeikhah: m.talebkeikhah@gmail.com</p>
CT Scans of Spine with Metastases (Lytic, Sclerotic)
<p>This dataset comprises 38 CT scans of the spine with identified and segmented metastatic lesions, focusing on two types of metastases: lytic and sclerotic. The dataset was used in the research article, "Artificial Intelligence Assisted Detection and Localization of Spinal Metastases." Each CT scan includes detailed metadata, such as:</p> <ul> <li><strong>Type of Metastasis</strong>: Classified as either lytic or sclerotic.</li> <li><strong>Primary Site of Metastasis</strong>: The original location of the cancer that metastasized to the spine, including sites such as melanoma, lungs, ovary, breast, prostate, kidney, blader, large intestine, multiple myeloma, stomach.</li> <li><strong>Sex</strong>: Patient gender (male or female).</li> </ul> <p>This dataset was collected for research purposes and can serve as a valuable resource for further studies in oncology, radiology, and artificial intelligence-assisted diagnostics. The dataset is anonymized to ensure patient confidentiality.</p> <p>Edelmers, E.; Ņikuļins, A.; Sprūdža, K.L.; Stapulone, P.; Pūce, N.S.; Skrebele, E.; Siņicina, E.E.; Cīrule, V.; Kazuša, A.; Boločko, K. AI-Assisted Detection and Localization of Spinal Metastatic Lesions. <em>Diagnostics</em> <strong>2024</strong>, <em>14</em>, 2458. https://doi.org/10.3390/diagnostics14212458</p>
Companion data artifacts: Technical framework demonstration for deep learning-based wood species classification with advanced sub-μ-CT imaging
<p>This is the companion data artifact collection for the IWAWA paper manuscript by Jannik Stebani, Tim Lewandrowski, Kilian Dremel, Simon Zabler and Volker Haag.It is generally to be used with the visualization and prediction showcases implemented in the Binder notebooks launched from this <a href="https://github.com/stebix/woodnet-showcase" target="_blank" rel="noopener">woodnet-showcase</a> GitHub repository.</p> <p>The artifacts amount to the following:</p> <ol> <li><code>acer-artifact.hdf5</code> : Exemplary <code>(256, 256, 256)</code> subvolume from a <em>Acer pseudoplatanus</em> sub-μ-CT scan</li> <li><code>pinus-artifact.hdf5</code> : Exemplary <code>(256, 256, 256)</code> subvolume from a <em>Pinus sylvestris </em>sub-μ-CT scan</li> <li><code>weights-artifact.pth</code> : Exemplary PyTorch trained weights for a woodnet/deep neural network to demonstrate classification of the above samples</li> </ol>
Linked collectors and determiners for: A review of the taxonomy and osteology of the Rhombophryne serratopalpebrosa species group (Anura: Microhylidae) from Madagascar, with comments on the value of volume rendering of micro-CT data to taxonomists.
Natural history specimen data linked to collectors and determiners held within, "A review of the taxonomy and osteology of the Rhombophryne serratopalpebrosa species group (Anura: Microhylidae) from Madagascar, with comments on the value of volume rendering of micro-CT data to taxonomists". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/c96e6bc4-729c-469c-9f1e-1f301d83357d">https://bionomia.net/dataset/c96e6bc4-729c-469c-9f1e-1f301d83357d</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/c96e6bc4-729c-469c-9f1e-1f301d83357d">https://gbif.org/dataset/c96e6bc4-729c-469c-9f1e-1f301d83357d</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Endangered beauties: micro-CT cranial osteology, molecular genetics and external morphology reveal three new species of chameleons in the Calumma boettgeri complex (Squamata: Chamaeleonidae).
Natural history specimen data linked to collectors and determiners held within, "Endangered beauties: micro-CT cranial osteology, molecular genetics and external morphology reveal three new species of chameleons in the Calumma boettgeri complex (Squamata: Chamaeleonidae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/99b3b009-f006-4146-b335-cbfdc2fcd60b">https://bionomia.net/dataset/99b3b009-f006-4146-b335-cbfdc2fcd60b</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/99b3b009-f006-4146-b335-cbfdc2fcd60b">https://gbif.org/dataset/99b3b009-f006-4146-b335-cbfdc2fcd60b</a>. Formatted as a Frictionless Data package.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.