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2,373
datasets available to search
ShareScore release 0.9.0
Dataset results
2,373 results for “Platform”
Vaccine-platforms study from spleen-sorted dendritic cell transcriptomes
GEO Series GSE66991. Mus musculus. 230 samples. Type: Expression profiling by array.
Modeling diverse genetic subtypes of lung adenocarcinoma with a next-generation alveolar type 2 organoid platform [2D and 3D]
GEO Series GSE213974. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Expression mRNA data from mouse blood samples measured using the NanoString nCounter platform
GEO Series GSE62470. Homo sapiens; Mus musculus. 20 samples. Type: Other.
Modular automated microfluidic cell culture platform reduces glycolytic stress in cerebral cortex organoids
GEO Series GSE207894. Homo sapiens. 41 samples. Type: Expression profiling by high throughput sequencing.
Development and characterization of a mouse epithelial cell monolayer platform (APECCS) of the small and large intestines
GEO Series GSE104803. Mus musculus. 61 samples. Type: Expression profiling by high throughput sequencing.
Array CGH of interspecific hybrid yeasts using multi-species array platform
GEO Series GSE35549. Saccharomyces bayanus; Saccharomyces cerevisiae. 119 samples. Type: Genome variation profiling by array.
mRNA profiling of human effector Type 1 T helper (Th1) cells for autoimmune gene signatures using the nCounter Nanostring platform [autoimmunity panel]
GEO Series GSE298667. Homo sapiens. 12 samples. Type: Expression profiling by array.
Evaluation of a novel clinical platform for cardiovascular drug development
GEO Series GSE37824. Homo sapiens. 249 samples. Type: Expression profiling by array.
Gene Expression of Breast Cancer Cell Lines Across Biomaterial Platforms
GEO Series GSE93562. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
A novel CRISPR/Cas9 screening platform identifies an IRF1-SOCS1-mediated negative feedback loop that limits CXCL9 expression and anti-tumor immunity (AT3 ATAC-Seq)
GEO Series GSE237967. Mus musculus. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Development of an exosomal gene signature to detect residual disease in dogs with osteosarcoma using a novel xenograft platform and machine learning
GEO Series GSE183191. Canis lupus familiaris; Mus musculus. 28 samples. Type: Expression profiling by high throughput sequencing.
Modeling diverse genetic subtypes of lung adenocarcinoma with a next-generation alveolar type 2 organoid platform (GFP)
GEO Series GSE213971. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
An ex vivo human precision-cut lung slice platform provides insight into SARS-CoV-2 pathogenesis and antiviral drug efficacy
GEO Series GSE226702. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Evaluation of Football Fan Comments on X Platform with Sen-timent Analysis and Machine Learning: The Case of Turkey
Open the record for dataset details and reuse information.
Dataset related to the article "Cryoballoon atrial fibrillation ablation: Single-center safety and efficacy data using a novel cryoballoon technology compared to a historical balloon platform".
<p>This record contains raw data related to the article "Cryoballoon atrial fibrillation ablation: Single-center safety and efficacy data using a novel cryoballoon technology compared to a historical balloon platform".</p> <p> </p> <p><em><strong>Abstract</strong></em></p> <p><strong>Introduction: </strong>Catheter ablation is superior to drugs regarding atrial fibrillation (AF) recurrence, symptoms improvement, and mortality reduction in heart failure. POLARx™ is a novel cryoballoon, with technical improvements seeking to improve outcomes. So far, its clinical evidence is restricted to a case report.</p> <p><strong>Methods: </strong>To compare the POLARx™ cryoballoon procedural safety and efficacy to the already established Arctic Front Advance PRO™ (AFAP) in a single-center cohort study, consecutive patients undergoing AF cryoablation with the POLARx™ were enrolled. Data were prospectively gathered. POLARx™ patients were compared with a historical cohort of patients submitted to AF cryoablation with the AFAP.</p> <p><strong>Results: </strong>Seventy patients were analyzed, 20 in POLARx™, and 50 in the AFAP group. They all underwent first-time pulmonary vein isolation, 77% were male, 94% had paroxysmal AF, median age was 62.5 years, median CHA<sub>2</sub> DS<sub>2</sub> -VASc 1, left-atrium size 34 ml/m², and 65% were receiving anticoagulation. The primary end-point, all pulmonary veins isolation, was 100% in both groups. The complication rate was similar (0% POLARx™ vs. 5.7% AFAP, p = .39). The median total procedural time was longer in the POLARx™ group (90 min vs. 60 min, p < .001), but the overall time-to-isolation (TTI; 44.8 s vs. 39 s, p = .253) and ablation time (15 min vs. 13.7 min, p = .122) was similar between POLARx™ and AFAP groups, respectively. Despite equal TTI, the POLARx™ had a lower minimal temperature reached (-57°C vs -47°C, p < .001).</p> <p><strong>Conclusion: </strong>The novel POLARx™ cryoballoon had similar efficacy and safety compared with the AFAP. It was also associated with longer procedural times, similar TTI, and lower minimum temperature reached.</p>
Phenotyping Polarization Dynamics Of Immune Cells Using A Lipid Droplet - Cell Pairing Microfluidic Platform
<p>Raw data from the article : </p> <p><strong>Phenotyping Polarization Dynamics Of Immune Cells Using A Lipid Droplet - Cell Pairing Microfluidic Platform</strong></p> <p>Léa Pinon, Nicolas Ruyssen, Judith Pineau, Olivier Mesdjian, Damien Cuvelier, Rachele Allena, Sophie Asnacios, Atef Asnacios, PaoloPierobon, Jacques Fattaccioli</p>
The Role of AI Chatbots on E-Commerce Platforms: Understanding Its Influence on Customer Trust and Dependability
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Dataset related to the article "AI-SCoRE (artificial intelligence-SARS CoV2 risk evaluation): a fast, objective and fully automated platform to predict the outcome in COVID-19 patients"
<p>This record contains partial raw data related to the article “AI-SCoRE (artificial intelligence-SARS CoV2 risk evaluation): a fast, objective and fully automated platform to predict the outcome in COVID-19 patients”</p> <p><strong>Purpose: </strong>To develop and validate an effective and user-friendly AI platform based on a few unbiased clinical variables integrated with advanced CT automatic analysis for COVID-19 patients' risk stratification.</p> <p><strong>Material and methods: </strong>In total, 1575 consecutive COVID-19 adults admitted to 16 hospitals during wave 1 (February 16-April 29, 2020), submitted to chest CT within 72 h from admission, were retrospectively enrolled. In total, 107 variables were initially collected; 64 extracted from CT. The outcome was survival. A rigorous AI model selection framework was adopted for models selection and automatic CT data extraction. Model performances were compared in terms of AUC. A web-mobile interface was developed using Microsoft PowerApps environment. The platform was externally validated on 213 COVID-19 adults prospectively enrolled during wave 2 (October 14-December 31, 2020).</p> <p><strong>Results: </strong>The final cohort included 1125 patients (292 non-survivors, 26%) and 24 variables. Logistic showed the best performance on the complete set of variables (AUC = 0.839 ± 0.009) as in models including a limited set of 13 and 5 variables (AUC = 0.840 ± 0.0093 and AUC = 0.834 ± 0.007). For non-inferior performance, the 5 variables model (age, sex, saturation, well-aerated lung parenchyma and cardiothoracic vascular calcium) was selected as the final model and the extraction of CT-derived parameters was fully automatized. The fully automatic model showed AUC = 0.842 (95% CI: 0.816-0.867) on wave 1 and was used to build a 0-100 scale risk score (AI-SCoRE). The predictive performance was confirmed on wave 2 (AUC 0.808; 95% CI: 0.7402-0.8766).</p> <p><strong>Conclusions: </strong>AI-SCoRE is an effective and reliable platform for automatic risk stratification of COVID-19 patients based on a few unbiased clinical data and CT automatic analysis.</p>
The Kallyope Human Genetics Platform LD Blocks
<p>The ancestry-specific and universal LD blocks from the <em>Cell Genomics</em> manuscript, "A unifying statistical framework to discover disease genes from GWASs" (<a href="https://doi.org/10.1016/j.xgen.2023.100264">https://doi.org/10.1016/j.xgen.2023.100264</a>)</p>
Decision Analytic Platform - Evaluation map
<p>The <strong>Decision Analytic Platform</strong> (DAP) aims to support the planning and decision-making process, to evaluate different options for water reuse. The final DAP prototype demonstrator is focused on the<strong> Apulian demo site</strong> (in Italy), due to its complexity and spatial extension, where greater emphasis is placed on the decision-making component of medium-term planning.</p> <p>This dataset represents the geographical data used to populate the <strong>Evaluation Map</strong> page of the DAP as reported in Figure 7 of Deliverable <a href="https://zenodo.org/record/7576588"><em>D.4.3 Final prototype of the ICT- based DAP</em></a>, integrating a fully featured webGIS, that allows to render and query both static layers, presenting the Apulian Aqueduct system (e.g. reservoirs, main vectors, existing wells, ..) and dynamic spatial indicators, changing the displayed values according to the combination of Water Planning Portfolios (WPP) and future scenarios.</p> <p>The dataset consists of a geopackage file containing layers representing:</p> <ul> <li>evaluation indicators (e.g. "Yearly average water deficit for irrigation"), where different values of indicators are associated with each combination of WPP and Scenario</li> <li>Acquedotto Pugliese (AQP) Water System physical features (e.g. wells, springs, aqueduct network main branches, ...)</li> </ul> <p>A Qgis project named <em>evaluation_map</em> is also included in the geopackage, to facilitate map visualization with QGIS.</p> <p>Data have been elaborated from the dataset retrieved by: <a href="https://www.aqp.it/">Acquedotto Pugliese</a>, <a href="https://pugliacon.regione.puglia.it/web/sit-puglia-sit/cartografia-template-web-gis">Apulia Region</a>, <a href="https://www.openstreetmap.org">OpenStreetMap</a></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.