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302
datasets available to search
ShareScore release 0.9.0
Dataset results
302 results for “registration”
3D co-registration of ultra-low-field and high-field magnetic resonance images (data)
<p>Dataset used for "3D co-registration of ultra-low-field and high-field magnetic resonance images" submitted to PlosOne.</p>
Validation of the registration of intraoperative optical image of exposed brain with preoperative MRI volumes (T1 volumes with injection of Gadolinium).
<p>This dataset contains the results of the registration of intraoperative optical images of exposed brain with pre-operative MRI volumes (T1 volumes with injection of Gadolinium). The file contains the validation metric (Euclidean distance) calculated with a landmark-based validation approach for 9 patients.</p>
Linked collectors and determiners for: Botanical Museum, Denmark. Database of registrations of red listed plants.
Natural history specimen data linked to collectors and determiners held within, "Botanical Museum, Denmark. Database of registrations of red listed plants". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/84d94b5a-f762-11e1-a439-00145eb45e9a">https://bionomia.net/dataset/84d94b5a-f762-11e1-a439-00145eb45e9a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/84d94b5a-f762-11e1-a439-00145eb45e9a">https://gbif.org/dataset/84d94b5a-f762-11e1-a439-00145eb45e9a</a>. Formatted as a Frictionless Data package.
A groupwise registration and tractography framework for cardiac myofiber architecture description by diffusion MRI : an application to the ventriclar junctions
<p>Data and materials regarding the submission of the paper. See Data Avaibility section and https://github.com/valeryozenne/Cardiac-Structure-Database</p> <p> </p>
3D Virtual Reality vs. 2D Desktop Registration User Interface Comparison
<p>Thank you for visiting this repository, which contains a ZIP file with the data for our Registration User Interface (RUI) 2D Desktop vs. VR user study.</p>
Text-fig. 7. Photo of a skull with lower jaw of a cave lion subadult female (registration number is Ok-139786), discovered in layer C of sector 4 of the Under the Ladder test pit. Photo by V. Káňa. in The Mammalian Fauna Of Barová Cave (Moravian Karst, The Czech Republic)
Text-fig. 7. Photo of a skull with lower jaw of a cave lion subadult female (registration number is Ok-139786), discovered in layer C of sector 4 of the Under the Ladder test pit. Photo by V. Káňa.
Fig. 18 in To Registrations Of Bottom Macroinvertebrates, Fish, Amphibians And Reptiles Of The Upper Tskhenistskali River Basin (Georgia, Lower Svanetia)
Fig. 18. Places of registrations D. b. brauneri, the species biotope and map of findings, Devashi River, Georgia, Lower Svanetia; specimens are also shown in the table of records (table 2).
Fig. 16 in To Registrations Of Bottom Macroinvertebrates, Fish, Amphibians And Reptiles Of The Upper Tskhenistskali River Basin (Georgia, Lower Svanetia)
Fig. 16. Places of registrations D. d. abchasica, the species biotope and map of findings, Devashi River, Georgia, Lower Svanetia; specimens are also shown in the table of records (table 2).
Fig. 14 in To Registrations Of Bottom Macroinvertebrates, Fish, Amphibians And Reptiles Of The Upper Tskhenistskali River Basin (Georgia, Lower Svanetia)
Fig. 14. Places of registrations of A. colchica, the species biotope and map of findings, Tshenitshali River, Georgia, Lower Svanetia; specimens are also shown in the table of records (table 2).
Fig. 11 in To Registrations Of Bottom Macroinvertebrates, Fish, Amphibians And Reptiles Of The Upper Tskhenistskali River Basin (Georgia, Lower Svanetia)
Fig. 11. Places of registrations of audial signals from H. orientalis males, Lentekhi town, Lower Svanetia; specimens are also shown in the table of records (table 2).
Fig. 10. B in To Registrations Of Bottom Macroinvertebrates, Fish, Amphibians And Reptiles Of The Upper Tskhenistskali River Basin (Georgia, Lower Svanetia)
Fig. 10. B. sitibundus, registration points and habitat in the vicinity Lentekhi town, Lower Svanetia; specimens are also shown in the table of records (table 2).
Fig. 17 in To Registrations Of Bottom Macroinvertebrates, Fish, Amphibians And Reptiles Of The Upper Tskhenistskali River Basin (Georgia, Lower Svanetia)
Fig. 17. Places of registrations D. r. svanetica, the species biotope and map of findings, Devashi River, Georgia, Lower Svanetia; specimens are also shown in the table of records (table 2).
Fig. 9. R in To Registrations Of Bottom Macroinvertebrates, Fish, Amphibians And Reptiles Of The Upper Tskhenistskali River Basin (Georgia, Lower Svanetia)
Fig. 9. R. macrocnemis, registration points and habitat in the vicinity Lentekhi town and Sasashi village, Lower Svanetia; specimens are also shown in the table of records (table 2).
Fig. 13 in To Registrations Of Bottom Macroinvertebrates, Fish, Amphibians And Reptiles Of The Upper Tskhenistskali River Basin (Georgia, Lower Svanetia)
Fig. 13. Places of registrations V. dinniki, the species biotope and map of findings, Devashi River, Georgia, Lower Svanetia; specimens are also shown in the table of records (table 2).
Fig. 6 in To Registrations Of Bottom Macroinvertebrates, Fish, Amphibians And Reptiles Of The Upper Tskhenistskali River Basin (Georgia, Lower Svanetia)
Fig. 6. Map of records of the caught fish species: yellow — S. trutta, blue — B. angorae; red — B. escerichia.
MR to Ultrasound Registration for Prostate Challenge - Dataset
<p>Multimodal image registration between pre-operative and intra-operative imaging enables the fusion of clinically important information during many surgical and interventional tasks. The registration of magnetic resonance imaging (MRI) and transrectal ultrasound (TRUS) images assists prostate biopsy and focal therapy, arguably having transformed prostate cancer patient care to a less invasive and more localized diagnostic, monitoring and treatment pathway. Though, even with great progress having been made by the community in the past two decades, challenges remain in this application. First, paired MRI and TRUS data from a sizable patient cohort are not routinely stored in clinical practice, and publicly-accessible data is scarce and low-quality. Second, annotating anatomical and pathological landmarks on both images - critical in representing corresponding locations for validation - requires expert domain knowledge and experience from multiple disciplines including urology, radiology and pathology.</p> <p>In addition to its prevalence-warranted clinical importance, this is also a unique application that saw a wide range of registration algorithms proposed and housed intriguing debates such as rigid-versus-nonrigid and FLE-versus-TRE. Both feature- and intensity-based classical methods and unsupervised or segmentation-driven learning methods have been innovated with some most technically interesting approaches in the field such as biomechanical regularisation and statistical motion modelling.</p> <p>The mu-Reg challenge aims to provide well-curated, yet real-world clinical data, with more than a hundred paired MR and TRUS images, annotated carefully by researchers and clinicians with more than 15 years of experience working with this application. The outcome of the challenge includes one of the first multimodal imaging data, facilitated with expert annotations for validation, for benchmarking advancement in registration methodology, as well as for future research in managing the most common non-skin cancer in men.</p> <p>---</p> <p><strong>The training and validation data may be used within the research remit of this challenge and in further research-related publications. The training and validation data are not to be used commercially. However, if the desired use is unclear, the organizers ask that those accessing the data refrain from further use or distribution outside of this challenge.</strong></p> <p>---</p> <p>Challenge information is accessible at: https://muregpro.github.io/</p>
Unsupervised microscopy image registration datasets
<p>This repository contains the raw microscopy datasets for the article entitled "<strong>Unsupervised multimodal image registration with deep learning for biomedical microscopy".</strong></p> <p> </p>
Lung CT Deformable Image Registration Validation Dataset
<p>This dataset contains 30 different cases of CT image pairs, with a high number of vessel bifurcation landmark pairs identified in each case. These landmarks can be used for deformable image registration (DIR) algorithm validation and quality assurance. Images are obtained from several publicly available image repositories as well as clinical scans from Barnes Jewish Hospital.</p> <p> </p> <p>Guidelines for loading and visualizing data can be found on our Github at </p> <p>https://github.com/deshanyang/Lung-DIR-QA</p> <p> </p> <p>If you use our dataset, please cite the paper at </p> <p>https://doi.org/10.1002/mp.17026</p>
BIDS Data for "An Optimized Registration Workflow and Standard Geometric Space for Small Animal Brain Imaging"
<p>Base data package for the “An Optimized Registration Workflow and Standard Geometric Space for Small Animal Brain Imaging” article, formatted corresponding to the Brain Imaging Data Structure.</p>
High Resolution Fundus Image Database for Monomodal Single-Channel Image Registration of Thin Features
<p>A high resolution image database of 42 image pairs (related by elastic deformations) created from original images from the High Resolution Fundus Image Database.<br> <br> Consists of thin linear structures that lack sufficient overlap to pose a challenge for classic similarity measures based on overlapping pixels commonly used in image registration.</p> <p>The dataset contains the intensity grayscale images, as well as binary masks of the retinal area, and labels of the vessels, segmented by expert annotators.<br> </p>
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.