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datasets available to search
ShareScore release 0.9.0
Dataset results
29 results for “multi-modal data”
Figure 2 from: Klein A, Ghosh S (2016) Graph-based clinical diagnosis and prediction using multi-modal neuroimaging data. Research Ideas and Outcomes 2: e8835. https://doi.org/10.3897/rio.2.e8835
Figure 2 - Examples of automatically extracted features (MRI) (a) Example structural features (left lateral views of volumes, surfaces, curves, and points) (b) Schematic feature hierarchy: 3-D gyrii surround a 2-D sulcal ribbon with 1-D fundus containing 0-D pits
Figure 1 from: Klein A, Ghosh S (2016) Graph-based clinical diagnosis and prediction using multi-modal neuroimaging data. Research Ideas and Outcomes 2: e8835. https://doi.org/10.3897/rio.2.e8835
Figure 1 - Examples of graph-based representations of scientific data among hundreds on the www.visualcomplexity.com website (categories on the site include biology, food webs and semantic, social, and knowledge networks). Lower left images of DTI, connectome, and network hubs are from Olaf Sporns (2010, Scholarpedia, 5(2):5584).
Figure 3 from: Klein A, Ghosh S (2016) Graph-based clinical diagnosis and prediction using multi-modal neuroimaging data. Research Ideas and Outcomes 2: e8835. https://doi.org/10.3897/rio.2.e8835
Figure 3 - Example of a graph-based representation of MRI and DTI features (a) A gray/white matter surface (left lateral view) with (visible) sulcal pits highlighted. These features go by different names (sulcal roots, buried gyrii, annectant gyrii, plis de passage) and may be well conserved structures formed early in development. (b) DTI connectivity graph computed on the same patient with depression as on the left panel. Vertices represent automatically extracted sulcal pits and each edge indicates a connection probability greater than 0.01 between two vertices.
Data collection of toy horses and zebras for multi-modal image synthesis
<p>Motivated by building a live demonstration of horse-to-zebra synthesis, we created our own dataset consisting of images of different toy horses and zebras. We used a wide variety of backgrounds, camera angles and lighting settings. In addition, images were also created in which the toy animals were held in the hand to better demonstrate synthesis in front of the camera. </p> <p>Besides the raw image and video footage, we prepared different compilations of data in form of datasets.</p> <p>Following the horse-to-zebra synthesis by Zhu et al. in the paper "Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks", we partially adopted the horse2zebra dataset from real horses and zebras in our datasets.</p>
Data underlying the paper titled "Enhancing hyperspectral imaging through macro and multi-modal capabilities"
<p>The data is in .mat format and contains two variables:<br>data(x, y, lambda) is the variable that contains the hyperspectral dataset, after being converted from temporal to spectral hypercube.<br>WL(lambda) is the variable that contains the wavelength calibration.</p>
Data from: Female preference for multi-modal courtship: multiple signals are important for male mating success in peacock spiders
Open the record for dataset details and reuse information.
Data from: Multi-modal signal evolution in birds: re-examining a standard proxy for sexual selection
Open the record for dataset details and reuse information.
Deciphering shared molecular dysregulation across Parkinson's Disease variants using a multi-modal network-based data integration and analysis
GEO Series GSE276684. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Heart failure multi-modality data
<p>Data set on heart failure due to different causes</p>
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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.