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Dataset results
264 results for “3D Reconstruction”
Datasets for 3D shape reconstruction from 2D microscopy images
<p>Here we publish two single cell datasets for 3D shape reconstruction from 2D microscopy images with a detailed description.</p>
Improving robustness of 3D multi-shot EPI by structured low-rank reconstruction of segmented CAIPI sampling for fMRI at 7T
<p>This dataset includes the k-space data of two 2D sagittal slices from the conventional and seg-CAIPI(8,3) 3D multi-shot EPI datasets, as well as the coil sensitivity maps. The conventional sampling corresponds to seg-CAIPI(2,1). These two 3D multi-shot EPI datasets were acquired at 1.8mm isotropic resolution and acceleration factor R=2x2. Other protocol parameters are: matrix size=116x116x96, 40 volumes, TE/TR=23/55ms. </p>
Supplementary material 2 from: Koch M, Schulz J, Edgecombe GD (2015) Tentorial mobility in centipedes (Chilopoda) revisited: 3D reconstruction of the mandibulo-tentorial musculature of Geophilomorpha. In: Tuf IH, Tajovský K (Eds) Proceedings of the 16th International Congress of Myriapodology, Olomouc, Czech Republic. ZooKeys 510: 243-267. https://doi.org/10.3897/zookeys.510.8840
Digital image stack used for 3D-reconstruction of the mandibulo-tentorial complex of Hydroschendyla submarina: Explanation note: Series of transverse histological sections from anterior to posterior, provided as movie.
Supplementary material 1 from: Koch M, Schulz J, Edgecombe GD (2015) Tentorial mobility in centipedes (Chilopoda) revisited: 3D reconstruction of the mandibulo-tentorial musculature of Geophilomorpha. In: Tuf IH, Tajovský K (Eds) Proceedings of the 16th International Congress of Myriapodology, Olomouc, Czech Republic. ZooKeys 510: 243-267. https://doi.org/10.3897/zookeys.510.8840
Digital image stack used for 3D-reconstruction of the mandibulo-tentorial complex of Dicellophilus carniolensis: Explanation note: Series of transverse histological sections from anterior to posterior, provided as movie.
BVI-Coral: Underwater scenes for 3D reconstruction
<p>The BVI-Coral dataset was captured underwater specifically for 3D reconstruction, with the videos being moved around the target.</p> <p>There are two sets available: the original videos (Originalxxxxx) and the edited versions (HDxxxxx).</p> <p>Please cite our work:</p> <ul> <li>H. Wang, N. Anantrasirichai, F. Zhang and D. Bull, "<a href="https://www.computer.org/csdl/proceedings-article/wacv/2025/108300d287/25Km5swfXQQ">UW-GS: Distractor-Aware 3D Gaussian Splatting for Enhanced Underwater Scene Reconstruction</a>," <em>IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</em>, 2025.</li> <li>L. Gough, A. Azzarelli, F. Zhang, N. Anantrasirichai, "<a href="https://arxiv.org/html/2502.16351v1">AquaNeRF: Neural Radiance Fields in Underwater Media with Distractor Removal,</a>" <em>IEEE International Symposium on Circuits and Systems, </em>2025.</li> </ul>
Yutu-2 PCAM Images for 3D Scene Reconstruction (2020)
<p>Here's the image data from Chang'e-4's Yutu-2 panoramic camera (PCAM) in 2020, with 3D scene reconstruction.<br>There are also 2831 impact craters, ranging from 0.1 metres to 5.93 metres in diameter.<br>All impact craters are categorised into five degradation classes (A, AB, B, BC, C).</p>
Yutu-2 PCAM Images for 3D Scene Reconstruction (2019)
<p>Here's the image data from Chang'e-4's Yutu-2 panoramic camera (PCAM) in 2019, with 3D scene reconstruction.<br>There are also 4625 impact craters, ranging from 0.1 metres to 6.37 metres in diameter.<br>All impact craters are categorised into five degradation classes (A, AB, B, BC, C).</p>
Yutu-2 PCAM Images for 3D Scene Reconstruction (2021)
<p>Here's the image data from Chang'e-4's Yutu-2 panoramic camera (PCAM) in 2021, with 3D scene reconstruction.<br>There are also 4525 impact craters, ranging from 0.1metres to 5.86 metres in diameter.<br>All impact craters are categorised into five degradation classes (A, AB, B, BC, C).</p>
3D Reconstruction of Neuronal Allometry and Neuromuscular Projections in Asexual Planarians Using Expansion Tiling Light Sheet Microscopy dataset2
<p>wide type planarian 6G10 staining taken with TLSM</p>
3D tumor reconstruction using self-supervised registration and cell-detection-based area delineation
<p>Breast cancer tissue sequentially sectioned for 3D alignment.</p> <ul> <li>ndpi files contain renamed (all) and re-oriented whole slide images (IU, rotated by 180°) originally scanned</li> <li>Downsampled zip folder contains overview images of the individual WSIs</li> </ul>
3D Reconstruction of guinea pigs cardiac SBF-SEM datasets
<p>3D Reconstruction of guinea pigs cardiac SBF-SEM datasets:</p> <p>Total three datasets were reconstructed in 3D. The serial sections of the dataset are put in the file name. </p> <p>Reconstructions were done using MIB and AMIRA</p>
Rapid T1 quantification from high resolution 3D data with model-based reconstruction
<p>In-vivo datasets used in the work "Rapid T1 quantification from high resolution 3D data with model-based reconstruction" with DOI: 10.1002/mrm.27502<br> </p>
Fig. 5 3D in Cephalic anatomy and three-dimensional reconstruction of the head of Catops ventricosus (Weise, 1877) (Coleoptera: Leiodidae: Cholevinae)
Fig. 5 3D reconstructions of the head capsule, tentorium, and muscles associated to mandible and maxilla of Catops ventricosus. a Dorsal view of the mandibular muscle system. b Dorsal view of the maxillar muscle system. ata anterior tentorial arm; dta dorsal tentorial arm, hpl horizontal plate of the laminatentorium, lt laminatentorium, md mandible, mp maxillary palp, mvl median vertical lamella of the laminatentorium, mxl maxilla, pta posterior tentorial arm, tb tentorial bridge
Structural 3D domain reconstruction of the RNA genome from viruses from a secondary structure model
<p>Fragments and final models of reconstructed STMV genome from in virio and in vitro secondary structures reported in Larman et al. (2017).</p> <p>Simulation scripts for simulations of genome and fragments.</p> <p>Full code of SPQR package for performing simulations.</p>
Figure 1 in Morphology of Falcidens vasconiensis (Mollusca, Caudofoveata, Chaetodermatidae), including a 3D reconstruction of the internal anatomy
Figure 1. Habitus of Falcidens vasconiensis, A–E. light micrographs of five specimens. an, anterium; n, neck; t, trunk; tl, tail; ts, tassel.
Figure 5 in Morphology of Falcidens vasconiensis (Mollusca, Caudofoveata, Chaetodermatidae), including a 3D reconstruction of the internal anatomy
Figure 5. Falcidens vasconiensis. (A, B) Lateral view of anatomical reconstruction of the digestive system, lateral view (anterior to right): (A) 3D reconstruction; (B) line drawing reconstruction. (C, D) Radula: (C) schematic drawing; (D) histological section (detail from E); (E, F) Histological sections (section planes shown in A). bs, buccal shield; bsg, gland of the buccal shield; dmg, midgut sac; e, oesophagus; gw, glandular wall; i, intestine; mg, midgut; ph, pharynx; r, radula; rs, radular sac.
Figure 3 in Morphology of Falcidens vasconiensis (Mollusca, Caudofoveata, Chaetodermatidae), including a 3D reconstruction of the internal anatomy
Figure 3. Falcidens vasconiensis, drawings and SEM micrographs of sclerites typical of each body region. (A–C) Anterior body; (D, E) neck; (F–J) trunk and tail; (K–M) tail; (N, O) tassel.
Figure 6 in Morphology of Falcidens vasconiensis (Mollusca, Caudofoveata, Chaetodermatidae), including a 3D reconstruction of the internal anatomy
Figure 6. Falcidens vasconiensi. (A–C) Anatomical reconstruction of the nervous system: (A) 3D dorsal view; (B) schematic dorsal drawing view; (C) 3D lateral view; (D–F) Histological sections (section planes shown in A). bg, buccal ganglion; cg, cerebral ganglion; fpcg, union of the precerebral ganglia; lnc, lateral nerve cord; pcg 1–3, pairs of cerebral ganglia; vnc, ventral nerve cord.
Figure 2 in Morphology of Falcidens vasconiensis (Mollusca, Caudofoveata, Chaetodermatidae), including a 3D reconstruction of the internal anatomy
Figure 2. Falcidens vasconiensis. (A, B) buccal shield, SEM micrographs (anterior to left); (C, D) arrangement of sclerites, SEM micrographs (anterior to left): (C) parallel to the mantle in the ventral trunk; (D) perpendicular to the mantle in the ventral neck.
Figure 4 in Morphology of Falcidens vasconiensis (Mollusca, Caudofoveata, Chaetodermatidae), including a 3D reconstruction of the internal anatomy
Figure 4. Falcidens vasconiensis. (A, B) Lateral view of anatomical reconstruction of the digestive and nervous systems: (A) 3D view reconstruction; (B) line drawing reconstruction. bg, buccal ganglion; bs, buccal shield; bsg, gland of the buccal shield; cg, cerebral ganglia; dmg, midgut sac; e, oesophagus; gw, glandular wall; i, intestine; lnc, lateral nerve cord; mg, midgut; pcg, precerebral ganglia; ph, pharynx; rs, radular sac; vnc, ventral nerve cord.
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.