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1,211
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Dataset results
1,211 results for “magnetic imaging”
Magnetic Resonance Imaging Scan of a Bottlenose Dolphin Brain (Tursiops truncatus)
<p>Magnetic Resonance Imaging Scan of a Bottlenose Dolphin Brain (<em>Tursiops truncatus</em>) from http://braincatalogue.org/Bottlenose_dolphin</p>
Magnetic Resonance Imaging Scan of a Black Rhinoceros (Diceros Bicornis)
<p>Magnetic Resonance Imaging Scan of a Black Rhinoceros (Diceros Bicornis) from http://braincatalogue.org/Black_rhinoceros</p>
Magnetic Resonance Imaging Scan of a Red Squirrel Brain (Sciurus vulgaris)
<p>Magnetic Resonance Imaging Scan of a Red Squirrel Brain (<em>Sciurus vulgaris</em>) from http://braincatalogue.org/Bottlenose_dolphin</p>
Magnetic Resonance Imaging Scan of the Brain of a Nursehound (Scyliorhinus stellaris)
<p>Magnetic Resonance Imaging Scan of the Brain of a Nursehound (<i>Scyliorhinus stellaris</i>) from http://braincatalogue.org/Nursehound</p>
Magnetic Resonance Imaging Scan of a Blackbuck (Antilope cervicapra)
<p>Magnetic Resonance Imaging Scan of a Blackbuck (Antilope cervicapra) from http://braincatalogue.org/Blackbuck</p>
Magnetic Resonance Imaging Scan of the Brain of a Gorilla (Gorilla gorilla)
<p>Magnetic Resonance Imaging Scan of the Brain of a Gorilla (<i>Gorilla gorilla</i>) from http://braincatalogue.org/Gorilla</p>
Magnetic Resonance Imaging Scan of the Brain of a Ostrich (Struthio camelus)
<p>Magnetic Resonance Imaging Scan of the Brain of a Ostrich (<i>Struthio camelus</i>) from http://braincatalogue.org/Ostrich</p>
Magnetic Resonance Imaging Scan of the Brain of a Giant panda (Ailuropoda melanoleuca)
<p>Magnetic Resonance Imaging Scan of the Brain of a Giant panda (<i>Ailuropoda melanoleuca</i>) from http://braincatalogue.org/Giant_panda</p>
Magnetic Resonance Imaging Scan of a Baboon Brain (Papio Papio)
<p>Magnetic resonance imaging scan of a baboon brain (Papio papio) from http://braincatalogue.org/Baboon</p>
Magnetic Resonance Imaging Scan of the Brain of a Cheetah (Acinonyx jubatus)
<p>Magnetic Resonance Imaging Scan of the Brain of a Cheetah (<i>Acinonyx jubatus</i>) from http://braincatalogue.org/Cheetah</p>
Diagnostic and prediction value of synthetic magnetic resonance imaging in acute ischemic stroke patients
<p>This is the supplementary tables for the above paper, mainly including original statistical analysis data.</p>
Dataset for: AI-enabled Lorentz microscopy for quantitative imaging of nanoscale magnetic spin textures
<p>Data used in the publication: AI-enabled Lorentz microscopy for quantitative imaging of nanoscale magnetic spin textures</p>
Radiomics and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography and Dynamic Contrast Magnetic Resonance Imaging to detect breast malignant Lesions
<p>We uploade the dataset of the manuscript "Radiomics and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography and Dynamic Contrast Magnetic Resonance Imaging to detect breast malignant Lesions" by Current Oncology.</p> <p> </p>
Open data repository, An et al., Deep learning-based automated lesion segmentation on mouse stroke magnetic resonance images
<p>Open data repository of journal article "Deep learning-based automated lesion segmentation on mouse stroke magnetic resonance images" by Jeehye An <em>et al. </em>At time of publication of this dataset, the manuscript is still under revision.</p> <p>This dataset contains mouse T2 weighted MRI data, and manually and automated segmented ischemic stroke lesion masks for developing and evaluating a deep learning-based automated lesion segmentation. All files are in NIFTI format.<br> </p>
Real-time magnetic resonance imaging to study orthostatic intolerance mechanisms in human beings: Proof of concept
<p>This dataset was acquired at DLR, Cologne, Germany. The study complied with the Declaration of Helsinki, and was approved by the local ethics committee. All subjects gave written informed consent.</p> <p> </p> <p><strong>Data acquisition</strong><br> <em>MRI data</em></p> <p>All MR images were acquired on a Siemens 3T mMR Biograph using cardiac, spine and head coils. The scanning protocol consisted of the following sequences.</p> <ul> <li><strong>MPI70_SA20_FOV320_16X6MM_33MS</strong>: cardiac real-time MRI of the short axis (TR=2.56 ms; TE=1.62 ms; FA= 10°; 1.6x1.6 mm; 6 mm slice thickness; 20 slices; FoV320x320 mm; radial spokes 13)</li> <li><strong>MPI70_TP_PCMV100_FOV320_15X6MM_33MS</strong>: blood flow real-time MRI of the pulmonary trunk (TR=3.33 ms; TE=2.24 ms; FA= 10°; 1.5x1.5 mm; 6 mm slice thickness; FoV=320x320 mm; VENC=100 cm/s; radial spokes 5)</li> <li><strong>MPI70_PCMV100_FOV192_075X6MM_80MS:</strong> blood flow real-time MRI of the middle cerebral artery (TR=4.44 ms; TE=3.10 ms; FA= 12°; 0.75x0.75 mm; 6 mm slice thickness; FoV=192x192 mm; VENC=100 cm/s; radial spokes 9)</li> </ul> <p> </p> <p>Cinematic real-time MRI of the short axis view and blood flow measurements of the pulmonary trunk and in the left and right middle cerebral artery were acquired at baseline and during -30mmHg LBNP.</p> <p> </p> <p>Video files:</p> <p><a href="https://zenodo.org/record/7066642/files/Series_040_mpi70_SA20_FOV320_16x6mm_33ms_Slice_14.wmv?download=1">https://zenodo.org/record/7066642/files/Series_040_mpi70_SA20_FOV320_16x6mm_33ms_Slice_14.wmv?download=1</a></p> <p><a href="https://zenodo.org/record/7066642/files/Series_103_mpi70_SA20_FOV320_16x6mm_33ms_Slice_14.wmv?download=1">https://zenodo.org/record/7066642/files/Series_103_mpi70_SA20_FOV320_16x6mm_33ms_Slice_14.wmv?download=1</a></p> <p> </p> <p> </p>
Virtual cohort of fetal cases with suspected coarctation of the aorta from fetal three-dimensional magnetic resonance images
<p>The present dataset is a supplementary dataset to the paper: Hermida, U., van Poppel, M.P.M., Lloyd, D.F.A. <em>et al.</em> Learning the Hidden Signature of Fetal Arch Anatomy: a Three-Dimensional Shape Analysis in Suspected Coarctation of the Aorta. <em>J. of Cardiovasc. Trans. Res.</em> (2022). https://doi.org/10.1007/s12265-022-10335-9</p> <p><strong>Dataset Description: </strong></p> <p>We present a database of fetal great arch anatomical models derived from a statistical shape model (SSM) of fetuses with suspected coarctation of the aorta (CoA). The dataset consists of 1000 meshes including the fetal ascending aorta, arterial duct and descending aorta. For each synthetic case, the corresponding PCA coefficients for the 10 first PCA modes, as well as their CoA risk score, are shared. PCA scores are provided both as raw scores and Z-scores. </p> <p>To build the SSM, a dataset of 112 motion-corrected 3D fetal cardiovascular magnetic resonance (CMR) images and their corresponding segmentations from cases with suspected CoA was used. Data included confirmed CoA cases as well as false positive (FP) cases. Centerlines were extracted and aligned to build the SSM of the fetal great arches. </p> <p><strong>Source of funding</strong></p> <p>This work was supported by the Wellcome Trust IEH Award [102431] (iFIND project), by core funding from the Wellcome/EPSRC Centre for Medical Engineering [WT203148/Z/16/Z] and by the Rosetrees Trust [A2725]. The research was funded by the National Institute for Health Research (NIHR) Biomedical Research Centre based at Guy’s and St Thomas’ NHS Foundation Trust and King’s College London and supported by the NIHR Clinical Research Facility. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. D.F.A. Lloyd acknowledges support from the Rothschild Foundation (2020/2017). P. Lamata holds a Wellcome Trust Senior Research Fellowship (209450/Z/17/Z).</p>
Modular Torso Motion Phantom for Magnetic Resonance Imaging (MRI)
<p>This data set contains CAD models, code and information for the construction of a <span>Modular Torso Motion Phantom for Magnetic Resonance Imaging (MRI).<span><br></span></span></p>
Rawdata of a bibliometric analysis of liver fibrosis magnetic resonance imaging research from 1998 to 2017
<p>The details of all literature downloaded from WoSCC as plain-text files including the full records.</p>
Accuracy of ultrasonography and magnetic resonance imaging for preoperative staging of cervical cancer – analysis of patients from the prospective study on total mesometrial resection.
<p>This is supplementary material to the manuscript published in the Diagnostics (MDPI) journal. </p> <p>Diagnostics 2021, 11, 1749</p> <p>https://doi.org/10.3390/diagnostics11101749</p> <p>Videos present examples of ultrasound examinations of patients with cervical cancer.</p>
Operando magnetic resonance imaging for mapping of temperature and redox species in thermo-electrochemical cells
<p>Raw data for our publication "Operando magnetic resonance imaging for mapping of temperature and redox species in thermo-electrochemical cells", including imaging files (Paravision), ASCII, MATLAB and EC Lab data files organised corresponding to each figure in the paper and supplementary information.</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.