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ShareScore release 0.9.0
Dataset results
4 results for “Image decomposition”
Mouse olfactory bulb intrinsic signal imaging for NNMF decomposition
<p>This dataset supplements our recent paper about automatic image segmentation using Non-negative Matrix Factorisation (NMF):</p> <p>Jan Soelter, Jan Schumacher, Hartwig Spors, Michael Schmuker (2014). Automatic segmentation of odor maps in the mouse olfactory bulb using regularized non-negative matrix factorization. <em>NeuroImage</em> 98:279-288.</p> <p>http://dx.doi.org/10.1016/j.neuroimage.2014.04.041</p>
Figure1. Three-layer image decomposition with content protection-Access Management in Medical Image Databases Based on New Format and Contents Protection with Inverse Pyramid Decomposition
<p>The image preparation for the image database with layered access is shown on Fig. 1. The<br> image is archived layer by layer and the watermarks are inserted together with the image<br> processing. The ROI (if there is one in the image) is processed in such a way, that to permit direct<br> access for authorized users (separate pyramid is developed for the ROI representation).</p>
Figure 2. Hierarchical access to the image DB-Access Management in Medical Image Databases Based on New Format and Contents Protection with Inverse Pyramid Decomposition
<p>The structure of the hierarchical access to the image database contents is shown on Fig. 2.</p>
Data compilation for "Label-free Imaging of Catalytic H2O2 Decomposition on Single Colloidal Pt Nanoparticles using Nanofluidic Scattering Microscopy"
<p>Data compilation for "Label-free Imaging of Catalytic H2O2 Decomposition on Single Colloidal Pt Nanoparticles using Nanofluidic Scattering Microscopy"</p> <p>This data set contains raw and evaluated data for the publication mentioned above and is structured into three parts which are packed as .zip files. The file labeled with MAIN 1 contains data for the figures 1 to 3 and MAIN 2 for figures 4 to 6 of the main manuscript. The file labeled with SI contains all data related to the supplementary information.</p> <p>The data itself has three main types. There are .tif images which contain the raw darkfield microscopy images, usually as image stack of several single pictures. Some of these .tif images have been processed according to the description in the publication and single frames exported as .png images.<br> The .xlsx files contain the evaluated data that has been extracted from the microscopic images and was used to draw the corresponding graphs in the publication. The individual tables and the respective columns/rows have a basic labeling identifying their contents.<br> In addition, the data set also contains SEM/TEM images that show mainly the platinum particles used in the experiments. There is also one Comsol simulation for the flow in a nanochannel that is being filled with a bubble, which was created with Comsol 5.5.</p>
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.