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106
datasets available to search
ShareScore release 0.9.0
Dataset results
106 results for “emergence time”
Time Within the Acute Care Chain: How Long Have Medical Emergency Department Patients Spent
ClinicalTrials.gov study NCT06079099. IPD Sharing: Not stated. Countries: 1. Publications: 1.
The Effect of Large Versus Small Clog Size on Emergency Response Time
ClinicalTrials.gov study NCT04406220. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
The Timing of Emergency Endoscopy for Esophagogastric Variceal Bleeding in Cirrhosis
ClinicalTrials.gov study NCT04932200. IPD Sharing: UNDECIDED. Countries: 1. Publications: 11.
Timely Acquirement of 12-lead ECG Using Patchy-type Wireless Device by Emergency Medical Technician in Ambulance
ClinicalTrials.gov study NCT04114760. IPD Sharing: Not stated. Countries: 1. Publications: 2.
A Randomized Prospective Analysis of Time to Diagnosis and Length of Stay of Emergency Department Pelvic Ultrasonography
ClinicalTrials.gov study NCT02268877. IPD Sharing: NO. Countries: 0. Publications: 7.
Time-motion-mode Ultrasound Diaphragm Measures in Patients With Acute Respiratory Distress in Emergency Department
ClinicalTrials.gov study NCT02273687. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Machine Learning and 3D Image-Based Modeling for Real-Time Body Weight and Body Composition Estimation During Emergency Medical Care: Study 2
ClinicalTrials.gov study NCT06646133. IPD Sharing: YES. Countries: 1. Publications: 6.
Data from: Melanin-based coloration of sneaker male Atlantic salmon is linked to viability and emergence timing of their offspring
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Data from: Real-time decision-making during emergency disease outbreaks
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Dynamic morphological plasticity in response to emergence timing in Abutilon theophrasti (Malvaceae)
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Forecasting hourly emergency department arrival using time series analysis
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Data for: Experimentally advancing morning emergence time does not increase extra-pair siring success in blue tit males
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Provider and administrator-level perspectives on strategies to reduce fear and improve patient trust in the emergency department in times of heightened immigration enforcement
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Association Between Short-term Exposure to Air Pollutants and Emergency Attendance for Upper Gastrointestinal Bleeding in Hong Kong: A Time-series Study
<p>Related data and DLNM code for generating figures and results.</p>
Data from: Analysis and prediction of effects of the Manchester Triage System on patient waiting times in an emergency department by means of agent-based simulation
A simulation of complex clinical processes is a challenging task and suitable methods need to be found which can capture the influence of relevant factors and their relationships. The Manchester triage system (MTS) is widely used in German emergency departments (ED), however the impact on patient waiting times remain difficult to predict. The purpose of this work is the assessment of MTS particularly with regard to the waiting times of different degrees of severity. The methodology of agent based simulation was found suitable for the ED domain and the agent based simulation tool SeSAm was chosen due to its intuitive user interface and easy adaption of the simulation models. Altogether four agent classes could be implemented based on the information derived from a process model. The model permits a dynamic simulation of the ED processes and a reliable assessment of patient waiting times. In addition, the implementation of a triage nurse allowed the simulation of the triage process and a direct comparison to the current state without a standardized triage procedure. Essential influencing factors (e.g. number of patients, manning level) were implemented and their effects on the ED processes and patient waiting times assessed. The simulation runs delivered correct results based on the underlying process model and the collected statistical data. The process flow and the waiting times of an ED could be mapped exactly. In all simulation runs the waiting times of high triage levels (MTS-levels 1 and 2) could be reduced. Especially patients of MTS-level 2 in the waiting area of the ED benefit significantly from the implementation of a standardized triage procedure and the associated permanent monitoring.
Data from: Emerging Representational Geometries in the Visual System Predict Reaction Times for Object Categorization
Recognizing an object takes just a fraction of a second, less than the blink of an eye. Applying multivariate pattern analysis, or "brain decoding", methods to magnetoencephalography (MEG) data has allowed researchers to characterize, in high temporal resolution, the emerging representation of objects that underlie our capacity for rapid recognition. Shortly after stimulus onset, exemplar stimuli cluster by category in high-dimensional activation spaces. In these emerging activation spaces, the decodability of exemplar category varies over time, reflecting the brain's transformation of visual inputs into coherent categorical representations. How do these emerging representations relate to categorization behavior? Recently it has been proposed that the distance of an exemplar representation from a categorical boundary in an activation space is critical for perceptual decision-making, and that reaction times should therefore correlate with distance from the boundary. The predictions of this distance hypothesis have been born out in human inferior temporal cortex (IT), an area of the brain crucial for the representation of object categories. The time of peak decoding is the optimal time for category information to be "read out" from the brain's time varying representation of the stimuli. In this study, we tested the distance hypothesis, and specifically whether or not the brain reads out at the optimal time for choice behavior. Using MEG decoding methods, we show that the distance of a pattern of activity from a decision boundary through a high-dimensional activation space correlates with reaction times in a visual categorization task, but only during the period of peak decodability. Our results suggest the brain uses the optimal stimulus representation for choice behavior, and that neural representations for objects are partially constitutive of the decision process in visual perception.
Dataset: Timing the emergence and development of arable farming in Southeastern Norway by using summed probability distribution of radiocarbon dates and a Bayesian age model
<p>The repository contains radiocarbon data and code for the paper</p> <p>TIMING THE EMERGENCE AND DEVELOPMENT OF ARABLE FARMING IN 7 SOUTHEASTERN NORWAY BY USING SUMMED PROBABILITY DISTRIBUTION 8 OF RADIOCARBON DATES AND A BAYESIAN AGE MODEL</p> <p>Published in Radiocarbon 2021 (DOI:10.1017/RDC.2021.80) </p> <p>ABSTRACT. The paper explores the emergence and development of arable farming in southeastern Norway by 12 compiling and analyzing directly dated cereals from archaeological contexts. By using summed probability 13 distributions of radiocarbon dates and Bayesian modeling, the paper presents the first comprehensive analysis of 14 the directly dated evidence for farming in the region. The models provide a more precise temporal resolution to 15 the development than hitherto presented. The results demonstrate that the introduction of arable farming to 16 southeastern Norway was a long-term development including several steps. Three different stages are pointed out 17 as important in the process of establishing arable farming: the Early and Middle Neolithic, the Late Neolithic, and 18 the Early Iron Age.</p>
Emergence timing and voltinism of phantom midges, Chaoborus spp., in the UK., supplementary data
<p>Supporting water quality, environmental and biological data for draft manuscript.</p>
An Observational Prospective Study of Anesthetic Sensitivity Assessed by Alpha Band Power and Its Association With Emergence Time From Sevoflurane General Anesthesia in Young Adults.
ClinicalTrials.gov study NCT07254975. IPD Sharing: UNDECIDED. Countries: 0. Publications: 1.
The Onset Time of Rocuronium in Emergency and Elective Surgery
ClinicalTrials.gov study NCT02634255. IPD Sharing: UNDECIDED. Countries: 0. Publications: 3.
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.