Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
3,036
datasets available to search
ShareScore release 0.9.0
Dataset results
3,036 results for “ct”
F09_FRACTESUS CT-0.16T_BZN
<div>Fractesus project. Fracture test mini-CT. Raw data JRQ. BZN. </div>
F08_FRACTESUS CT-0.16T_BZN
<div>Fractesus project. Fracture test mini-CT. Raw data JRQ. BZN. </div>
F07_FRACTESUS CT-0.16T_BZN
<div>Fractesus project. Fracture test mini-CT. Raw data JRQ. BZN. </div>
F06_FRACTESUS CT-0.16T_BZN
<div>Fractesus project. Fracture test mini-CT. Raw data JRQ. BZN. </div>
F05_FRACTESUS CT-0.16T_BZN
<div>Fractesus project. Fracture test mini-CT. Raw data JRQ. BZN. </div>
F03_FRACTESUS CT-0.16T_BZN
<div>Fractesus project. Fracture test mini-CT. Raw data JRQ. BZN. </div>
F02_FRACTESUS CT-0.16T_BZN
<div>Fractesus project. Fracture test mini-CT. Raw data JRQ. BZN. </div>
F01_FRACTESUS CT-0.16T BZN
<div>Fractesus project. Fracture test mini-CT. Raw data JRQ. BZN. </div>
F14_FRACTESUS CT-0.16T_BZN
<div>Fractesus project. Fracture test mini-CT. Raw data JRQ. BZN. </div>
F13_FRACTESUS CT-0.16T_BZN
<div>Fractesus project. Fracture test mini-CT. Raw data JRQ. BZN. </div>
FIGURE 5 in Comparison of methods: Micro-CT visualization method and epoxy cast-embedding reveal hidden details of bioerosion in the tube walls of Cretaceous polychaete worms
FIGURE 5. Pyrgopolon (Septenaria) cf. tricostata (Goldfuss, 1841), longitudinal section of a tube from Kaňk "Na Vrších", no. NM O8728. A. SEM image of the resulting cast providing a three-dimensional view of three bi-camerate specimens of Entobia isp. and numerous shafts of Trypanites isp. cut by the longitudinal boring Maeandropolydora isp.; galleries are duplicated, more or less parallel, partially touching each other. B. The same view to the specimen by using micro-CT. C. detail of the resin cast showing a pair of bi-camerate Entobia isp. D. micro-CT scan from the same view, details of Entobia chambers are below the lower limit of micro-CT resolution.
ANIMATION 1 in Comparison of methods: Micro-CT visualization method and epoxy cast-embedding reveal hidden details of bioerosion in the tube walls of Cretaceous polychaete worms
ANIMATION 1. Three-dimensional animation of specimen Cementula sp., a coiled tube, no. CZ2, from Velim locality, the Czech Republic.
FIGURE 3 in Comparison of methods: Micro-CT visualization method and epoxy cast-embedding reveal hidden details of bioerosion in the tube walls of Cretaceous polychaete worms
FIGURE 3. Cementula sp., a coiled tube, no. CZ2, from Velim. A–C. Scanning electron microscope images of resin cast, B–C insets in A showing microbioerosion beneath D–F. Micro-CT images. A, D and E. Identical views using different methods. B. SEM image of resin cast shows branching stolons of Iramena isp., below lower limit of micro-CT resolution. C. Detail showing microbioerosion beneath tube surface and shaft incompletely filled with epoxy resin. D. 2D section through both tubes. E. Semi-transparent rendering of 2D section. F. Volume reproduction image, 3D view to smooth inner surfaces of the tubes.
FIGURE 1. A in Comparison of methods: Micro-CT visualization method and epoxy cast-embedding reveal hidden details of bioerosion in the tube walls of Cretaceous polychaete worms
FIGURE 1. A. Simplified geographic map of Bohemian Cretaceous Basin indicating locations of the studied sites (in rectangle). B. Geographic position of nearshore deposits at Velim, Kaňk "Na Vrších" and Kamajka, where samples were taken (black pentangles).
FIGURE 4 in Comparison of methods: Micro-CT visualization method and epoxy cast-embedding reveal hidden details of bioerosion in the tube walls of Cretaceous polychaete worms
FIGURE 4. Placostegus zbyslavus (Ziegler, 1984), longitudinal section of a tube from Kamajka near Chotusice, no. NM O8727. A. SEM image of the resin cast showing a high degree of silicification that led to incomplete dissolution of the tube wall in HCl; image shows only indeterminate non-branching shafts. B. The same view of the specimen using micro-CT clearly shows relatively frequent Maeandropolydora isp. and shallow shafts of Trypanites isp.
FIGURE 2 in Comparison of methods: Micro-CT visualization method and epoxy cast-embedding reveal hidden details of bioerosion in the tube walls of Cretaceous polychaete worms
FIGURE 2. Stratigraphic provenance of serpulid tubes from Velim, Kamajka, and Kaňk. 1 - crystalline basement; 2 - basal Cenomanian conglomerate; 3 - redeposited Turonian conglomerate; 4 - bioclastic limestone with calcitic-clayey matrix; 5 - organodetritic clayey limestone; 6 - marly siltstone with intercalations of phosphatized horizon; 7 - sponge 'meadows'; 8 - limestone layer with nodule-like bodies; 9 - calcareous claystone (modified from Košťák et al., 2010; Kočí, 2012). Full filled circles indicate position of serpulid fauna.
ANIMATION 2 in Comparison of methods: Micro-CT visualization method and epoxy cast-embedding reveal hidden details of bioerosion in the tube walls of Cretaceous polychaete worms
ANIMATION 2. Three-dimensional animation of specimen Placostegus zbyslavus (Ziegler, 1984), from Kamajka locality, the Czech Republic, no. NM O8727.
Merged Multi-Organ Abdominal CT Segmentation Dataset
<p><strong>Version 2.0</strong></p> <p>This version maintains the same dataset as Version 1.0, the only addition is the CSV metadata file. Please note that the BTCV images do not include metadata information.<br></p> <p> </p> <p><strong>Description</strong></p> <p>The abdominal CT images and reference segmentations were drawn from three datasets: the <a href="https://doi.org/10.7303/syn3193805" target="_blank" rel="noopener">Beyond the Cranial Vault (BTCV) Abdomen dataset</a> [1], the <a href="https://amos22.grand-challenge.org/" target="_blank" rel="noopener">Multi-Modality Abdominal Multi-Organ Segmentation Challenge 2022 dataset</a> [2], and the <a href="../records/10047292">TotalSegmentator dataset</a> [3]. Given the class differences among the three datasets, their consolidation requires the elimination of several classes, resulting in a unified dataset of 680 CT images comprising 12 classes common to all three, including:</p> <ul> <li>Spleen</li> <li>Right Kidney</li> <li>Left Kidney</li> <li>Gallbladder</li> <li>Esophagus</li> <li>Liver</li> <li>Stomach</li> <li>Aorta</li> <li>Inferior Vena Cava</li> <li>Pancreas</li> <li>Right Adrenal Gland</li> <li>Left Adrenal Gland</li> </ul> <p>The original work for which this dataset was created can be found in <a href="https://github.com/nicoalpis/Robust-Abdominal-Segmentation" target="_blank" rel="noopener">this GitHub repository</a>. </p> <p> </p> <p><strong>Terms of use</strong></p> <p>The terms of use of this data set include the terms of use of the <a href="https://doi.org/10.7303/syn3193805">Beyond the Cranial Vault (BTCV) Abdomen dataset</a> (<a href="https://doi.org/10.7303/syn3193805">terms of use</a>; after <a href="https://www.synapse.org/#!Synapse:syn3193805/wiki/217753">registration</a>, you can <a href="https://www.synapse.org/#!Synapse:syn3376386">access the data</a>), <a href="https://amos22.grand-challenge.org/" target="_blank" rel="noopener">Multi-Modality Abdominal Multi-Organ Segmentation Challenge 2022 dataset</a> (<a href="https://doi.org/10.5281/zenodo.7155725" target="_blank" rel="noopener">terms of use and data access</a>), and <a href="../records/10047292">TotalSegmentator dataset</a> (<a href="../records/10047292">terms of use and data access</a>). If you use these reference segmentations, please cite the references below.</p> <p><strong>References</strong></p> <p>[1] Landman BA, Xu Z, Igelsias JE, Styner M, Langerak TR, and Klein A, "MICCAI multi-atlas labeling beyond the cranial vault - workshop and challenge," 2015, https://doi.org/10.7303/syn3193805.</p> <p>[2] Ji, Yuanfeng, et al. "Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation." Advances in Neural Information Processing Systems 35 (2022): 36722-36732.</p> <p>[3] Wasserthal, J., Breit, H. C., Meyer, M. T., Pradella, M., Hinck, D., Sauter, A. W., ... & Segeroth, M. (2023). Totalsegmentator: Robust segmentation of 104 anatomic structures in ct images. Radiology: Artificial Intelligence, 5(5).</p>
Fig. 8 in Impact of increasing morphological information by micro-CT scanning on the phylogenetic placement of Darwin wasps (Hymenoptera, Ichneumonidae) in amber
Fig. 8 Holotype of Rhyssa gulliveri sp. nov. A Habitus of specimen, lateral view. B Rugae dorsally on mesoscutum. C Face, anterior view, partially hidden by spider inclusion and milky coatings. D Face, more laterally with visible mandibles. E First tergite on metasoma, lateral view. F Head and mesoscutum, dorsal view. G Interpretative drawing with an additional drawing of the propodeum and T1 in dorsal view, where photos and micro-CT scan were used as templates. Scale bar A: 2 mm, B and C: 1 mm, D: upper 1 mm, lower 2 mm
Fig. 7 in Impact of increasing morphological information by micro-CT scanning on the phylogenetic placement of Darwin wasps (Hymenoptera, Ichneumonidae) in amber
Fig. 7 Holotype of Firkantus freddykruegeri gen. et sp. nov. A Habitus of specimen, lateral view. B Anterior view of face, right side with facial structures indicated. C Fore wing with folds indicating wing venation. D Anterior part of metasoma, dorsal view. E Posterior part of metasoma, with parameters and aedeagus. F Interpretative drawing with an additional drawing of the propodeum and T1 in dorsal view, where photos and micro-CT scan were used as templates. Scale bar A: 1 mm, B: 0.5 mm, F: lower 1 mm, right 0.5 mm
ScienceDex guides
Understand access before you commit
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.