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ShareScore release 0.9.0
Dataset results
124 results for “robotic dataset”
Dataset related to article "Are nephrometry scores accurate for the prediction of outcomes in patients with renal angiomyolipoma treated with robot-assisted partial nephrectomy? A multi-institutional analysis "
<p>This record contains raw data related to article “Are nephrometry scores accurate for the prediction of outcomes in patients with renal angiomyolipoma treated with robot-assisted partial nephrectomy? A multi-institutional analysis"</p> <p><strong>Purpose: </strong> Prediction of complications and surgical outcomes is of outmost importance even in patients with benign renal masses. The aim of our study is to test the PADUA, SPARE and R.E.N.A.L. scores to predict nephron sparing surgery (NSS) outcomes in patients presenting with renal angiomyolipoma (RAML).</p> <p><strong>Methods: </strong> We retrospectively analyzed the clinical and pathological data of 93 patients with AML treated with robot-assisted partial nephrectomy (RAPN) at three tertiary care referral centers. Renal masses were classified according to the PADUA, SPARE and R.E.N.A.L. nephrometry scores. Surgical success was defined according to the novel Trifecta score. Logistic regression models (LRM) were fitted to predict the achievement of novel Trifecta and the risk of high-grade Clavien-Dindo (CD) complication. The receiver operating characteristics (ROC) curve analysis was used to estimate the accuracy of LRMs.</p> <p><strong>Results: </strong> Of 93 patients, 66 (69.9%) were females; median tumor size was 42 (36-48) mm. Novel Trifecta was achieved in 79 patients (84.9%) and post-operative complications classified as CD>2 occurred in 7 (7.5%) patients. At univariate and multivariate LRMs all three nephrometry scores were significantly associated with novel Trifecta achievement. Similar findings were observed for the prediction of CD>2 complications. The AUCs to predict optimal surgical outcomes and CD>2 complications were 0.791 and 0.912 for PADUA, 0.767 and 0.836 for SPARE and 0.756 and 0.842 for RENAL score, respectively.</p> <p><strong>Conclusions: </strong> RAPN appears to be a feasible and safe surgical technique for the treatment of RAML. PADUA, SPARE and RENAL scores can be safely adopted to predict surgical outcomes, with the first one showing a higher accuracy.</p> <p> </p>
DATASET RELATED TO ARTICLE "IBA myQA SRS Detector for CyberKnife Robotic Radiosurgery Quality Assurance"
<p><em>The database contains data analysis tables and spreadsheets</em></p>
Dataset of paper: Supervised and Dynamic Neuro-Fuzzy Systems to Classify Physiological Responses in Robot-Assisted Neurorehabilitation (PLOS One)
<p>The data set contains number of user, user's physiological signals (Pulse, SCL, SCR, Respiration rate, Skin temperature), Label, Difficulty level from relax to stress. Label is codified from 1 to 5 corresponding to the Difficulty level.</p>
Dataset for manuscript "Cactus-inspired design principles for soft robotics based on 3D printed hydrogel-elastomer systems"
<p>The dataset includes data for the article "Cactus-inspired design principles for soft robotics based on 3D printed hydrogel-elastomer systems", DOI: 10.1016/j.matdes.2021.109515</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.