Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
349
datasets available to search
ShareScore release 0.9.0
Dataset results
349 results for “Congestion”
Evaluating Efficacy of Digital Health Technology in the Treatment of Congestive Heart Failure
ClinicalTrials.gov study NCT04394754. IPD Sharing: YES. Countries: 1. Publications: 1.
Targeting Acute Congestion With Tolvaptan in Congestive Heart Failure
ClinicalTrials.gov study NCT01644331. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Avoiding Treatment in the Hospital With Furoscix for the Management of Congestion in Heart Failure - A Pilot Study
ClinicalTrials.gov study NCT04593823. IPD Sharing: NO. Countries: 1. Publications: 1.
Data and codes for: A link model approach to identify congestion hotspots
Open the record for dataset details and reuse information.
PODC 2020 live recording, session: graph algorithms and congest model
<p>A recording of the "graph algorithms and congest model" session in PODC 2020. This session took place on Thursday, 6-Aug-2020, and was chaired by Alkida Balliu.</p>
Data from: Early prediction of in-hospital mortality in patients with congestive heart failure in intensive care unit: a retrospective observational cohort study
<p class="MsoNormal">Objective: Congestive heart failure (CHF) is a clinical syndrome in which heart disease progresses to a severe stage. Risk assessment and early diagnosis of death in patients with CHF are critical to patient prognosis and treatment. The purpose of this study was to establish a nomogram predicting in-hospital death for CHF patients in the ICU.</p> <p>Design: A retrospective observational cohort study.</p> <p>Setting and participants: The data of study from 30,411 CHF patients in the Medical Information Mart for Intensive Care (MIMIC-IV) database and the eICU Collaborative Research Database (eICU-CRD).</p> <p>Primary outcome: In-hospital mortality.</p> <p>Results: The inclusion criteria were met by 15983 subjects, whose in-hospital mortality rate was 12.4%. Multivariate analysis determined that the independent risk factors were age, race, norepinephrine, dopamine, phenylephrine, vasopressin, <a>mechanical</a> <a>ventilation</a>, intubation, HepF, heart rate, respiratory rate, temperature, SBP, AG, BUN, creatinine, chloride, MCV, RDW, and WBC. The C-index of the nomogram (0.767, 95%CI: 0.759–0.779) was <a>superior</a> to that of the traditional SOFA, APSIII and GWTGHF score, indicating its discrimination power. Calibration plots demonstrated that the predicted results are in good agreement with the observed results. The decision curves of the derivation and validation sets both had net benefits.</p> <p>Conclusion: The twenty independent risk factors for in-hospital mortality of CHF patients were age, race, norepinephrine, dopamine, phenylephrine, vasopressin, <a>mechanical</a> <a>ventilation</a>, intubation, HepF, heart rate, respiratory rate, temperature, SBP, AG, BUN, creatinine, chloride, MCV, RDW, and WBC. The nomogram that included these factors accurately predicted the in-hospital mortality of CHF patients. The novel nomogram has the potential to be a clinical practice aided predictive tool for predicting and assessing mortality in CHF patients in the ICU.</p>
"A link model approach to identify congestion hotspots"
<p>Congestion emerges when high demand peaks put transportation systems under stress. Understanding the interplay between the spatial organization of demand, the route choices of citizens, and the underlying infrastructures is thus crucial to locate congestion hotspots and mitigate the delay. Here we develop a model where links are responsible for the processing of vehicles, that can be solved analytically before and after the onset of congestion, and providing insights into the global and local congestion. We apply our method to synthetic and real transportation networks, observing a strong agreement between the analytical solutions and the Monte Carlo simulations, and a reasonable agreement with the travel times observed in 12~cities under congested phase. Our framework can incorporate any type of routing extracted from real trajectory data to provide a more detailed description of congestion phenomena, and could be used to dynamically adapt the capacity of road segments according to the flow of vehicles, or reduce congestion through hotspot pricing.</p>
FIGURE 3. Catolesia mentiens D.J.N. Hind. A. Capitulescence terminal showing heads congested. B in A new species of Catolesia (Asteraceae, Eupatorieae) from Chapada Diamantina, Brazil
FIGURE 3. Catolesia mentiens D.J.N. Hind. A. Capitulescence terminal showing heads congested. B. Details of three pedunculated heads. Catolesia huperzioides Roque, H. Rob. & A.A. Conceição. C. Shrub abundantly ramified, leaves scale-like, imbricated, appressed, and capitulescences at the apex of the branches (Photographs: A–B: V.O. Amorim, C. A.A. Conceição).
Accelerated landing in a stingless bee and its unexpected benefits for traffic congestion
<p>To land, flying animals must simultaneously reduce speed and control their path to the target. While the control of approach speed has been studied in many different animals, little is known about the effect of target size on landing, particularly for small targets that require precise trajectory control. To begin to explore this, we recorded the stingless bee <i>Scaptotrigona depilis</i> landing on their natural hive entrance – a narrow wax tube built by the bees themselves. Rather than decelerating before touchdown as most animals do,<i> S. depilis</i> accelerates in preparation for its high precision landings on the narrow tube of wax. A simulation of traffic at the hive suggests that this counterintuitive landing strategy could confer a collective advantage to the colony by minimising the risk of mid-air collisions and thus of traffic congestion. If the simulated size of the hive entrance increases and if traffic intensity decreases relative to the measured real-world values, 'accelerated landing' ceases to provide a clear benefit, suggesting that it is only a useful strategy when target cross-section is small and landing traffic is high. We discuss this strategy in the context of<i> S. depilis'</i> ecology and propose that it is an adaptive behaviour that benefits foraging and nest defence.</p>
Congested C(sp3)-rich architectures by iron-catalyzed conjunctive alkylation
<p>This folder contains the DFT-optimized geometries (in .xyz format together with the gas-phase energy, E) accompanying the paper</p> <p>"Congested C(sp3)-rich architectures by iron-catalyzed conjunctive alkylation"</p> <p>Where conformers occur, they are always named from the lowest Gibbs energy to the highest in ascending order from c1 (sometimes omitted), c2, c3, ...</p> <p>This folder contains the following subfolders:</p> <p>/DFT_structures/ --> DFT optimized structures</p> <p>/Mulliken_spin_population_logfiles/ --> Gaussian .log output files for the insertion step where Mulliken spin populations can be visualized in the triplet and quintet spin states.</p> <p>/movies/ --> movies for the TSs for insertion and reductive elimination step and the associated intrinsic reaction coordinate (IRC) movies.</p>
Atrial Fibrillation and Congestive Heart Failure Trial
ClinicalTrials.gov study NCT00597077. IPD Sharing: Not stated. Countries: 1. Publications: 3.
V-LAP™ Left Atrium Monitoring systEm for Patients With Chronic sysTOlic & Diastolic Congestive heaRt Failure
ClinicalTrials.gov study NCT03775161. IPD Sharing: NO. Countries: 2. Publications: 3.
Serum Catestatin Expression and Cardiometabolic Parameters in Patients With Congestive Heart Failure
ClinicalTrials.gov study NCT03389386. IPD Sharing: NO. Countries: 1. Publications: 3.
Fluid Responsiveness and Venous Congestion Evolution During Volume Expansion
ClinicalTrials.gov study NCT06772038. IPD Sharing: UNDECIDED. Countries: 2. Publications: 5.
Therapeutic Thoracentesis for Patients With Congestive Heart Failure and Large Pleural Effusion
ClinicalTrials.gov study NCT00629538. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Influence of Pantoprazole on Human Myocardial Contractility at Patients With Congestive Heart Failure
ClinicalTrials.gov study NCT00699361. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Safety and Efficacy of Adipose Derived Stem Cells for Congestive Heart Failure
ClinicalTrials.gov study NCT01502514. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Quantify the Degree of Pain Relief of Pelvic Congestion Syndrome Following Gonadal Vein Embolization
ClinicalTrials.gov study NCT03794466. IPD Sharing: NO. Countries: 1. Publications: 7.
Optimized Treatment of Pulmonary Edema or Congestion
ClinicalTrials.gov study NCT05276219. IPD Sharing: NO. Countries: 1. Publications: 0.
Atrial Fibrillation Management in Congestive Heart Failure With Ablation
ClinicalTrials.gov study NCT00652522. IPD Sharing: Not stated. Countries: 3. Publications: 1.
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.