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7
datasets available to search
ShareScore release 0.9.0
Dataset results
7 results for “Trilateration”
Trilateral Retinoblastoma: Incidence and Outcomes
ClinicalTrials.gov study NCT06367530. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.
Data from: Depth image super-resolution reconstruction based on a modified joint trilateral filter
Depth image super-resolution (SR) is a technique that utilizes signal processing technology to enhance the resolution of a low-resolution (LR) depth image. Generally, the external database or high-resolution (HR) images are needed for acquiring the priori information to support the SR reconstruction. To overcome the limitation, a depth image SR method which does not need the reference of any external images is proposed. In the paper, a high-quality edge map is firstly constructed using a sparse coding method, which uses a dictionary learned from the original images themselves at different scales. Then, the high-quality edge map is used to guide the interpolation for depth images by a modified joint trilateral filter. During the interpolation, some information of gradient and structural similarity (SSIM) are added to preserve the detailed information and suppress the noise. The proposed method not only can preserve the sharpness of image edge, but also can avoid the dependence on database. Experimental results show the proposed method is superior to some state-of-the-art depth image SR methods.
Data from: Depth image super-resolution reconstruction based on a modified joint trilateral filter
Open the record for dataset details and reuse information.
Modeling Trilateral Retinoblastoma using Human Embryonic Stem Cells
GEO Series GSE84504. Homo sapiens. 10 samples. Type: Expression profiling by high throughput sequencing.
A pan-immunotherapy signature to predict intratumoral CD8+ T cell expansions [bulkTCRseq_Trilateral]
GEO Series GSE303233. Mus musculus. 165 samples. Type: Other.
A pan-immunotherapy signature to predict intratumoral CD8+ T cell expansions [bulkTCR_Trilateral_similarity]
GEO Series GSE303232. Mus musculus. 36 samples. Type: Other.
Barnes Ice Cap South Dome Trilateration Net Survey Data 1970-1984, Version 1
The Barnes Ice Cap data set contains survey measurements of a network of 43 stakes along a 10 km flow line on the northeast flank of the south dome of the Barnes Ice Cap. The measurements are of mass balance, surface velocity, and surface elevation. They were taken over a period of time from 1970 to 1984. The data set came from a hard copy computer printout containing raw data as well as processed quantities. This printout was scanned and digitized into a PDF file. This PDF file was put through Optical Character Recognition (OCR) software and saved as another PDF file. The resultant PDF file is human readable and all values are correct when viewed in an Adobe PDF reader. However, if you copy the contents and paste them into another application there may be errors in the values as the OCR process did not accurately compute all characters correctly. If you copy the data values into another application for analysis, double check the values against what is in the PDF file. The data are available via FTP.
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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.