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177 results for “Early warnings”
Data from: Monitoring chicken flock behaviour provides early warning of infection by human pathogen Campylobacter
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Data from: Relation between stability and resilience determines the performance of early warning signals under different environmental drivers
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Data from: Early warning signals of extinction in deteriorating environments
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Data from: Dynamical state transitions into addictive behaviour and their early-warning signals
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The predictive value of Modified Early Warning Score (MEWS) and Revised Trauma Score (RTS) for the short-term prognosis of emergency trauma patients: A retrospective study
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EARLY WARNING OF ATRIAL FIBRILLATION USING DEEP LEARNING
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Data from: No early warning signals for stochastic transitions: insights from large deviation theory
[No abstract entered]
NDVI time series - early warning signals
<p>Many freshwater forested wetlands along the southeastern U.S. coastline are rapidly transitioning from forest to marsh or open water, due to climate change related disturbances, such as saltwater intrusion and increasing flooding frequency. These changes in wetland state are considered a regime shift, and the timing and trajectory of change are not well understood. Recent studies have found early warning signals (EWS) of regime shifts in other ecosystems, but it is unclear if these can be detected for coastal wetlands.</p> <p>In this study, we examined the ability to detect EWS of regime shifts in coastal wetlands within the Albemarle Pamlico peninsula, North Carolina, U.S.A. We used 35 years of the Landsat record to examine trends and variance of normalized difference vegetation index (NDVI) time series for selected areas known to have undergone regime shifts.</p> <p>We found that NDVI time series trends combined with changes in standard deviation of NDVI allowed us to identify four scenarios of change for coastal wetlands: 1) unstable transitioning; 2) gradual transition (declining); 3) unstable re-vegetated (recovering); and 4) stable vegetated. At the landscape scale within the Albemarle Pamlico peninsula, we found that approximately 114,294 ha (40%) of natural wetlands are considered stable, while 77,732 ha (27%) are areas are re-vegetating following a disturbance (mostly fires). We also found that 39,828 ha (14%) experienced a regime shift with an abrupt change, while 24,092 ha (8.5%) are forests gradually shifting to marshes.</p> <p><i>Syntheses and applications: </i>Our results suggest that the transition from a forest to a marsh can occur both rapidly and slowly, and remote sensing of NDVI time series can help identify ecosystem trajectories. Remote sensing provides the ability to measure and monitor the resilience of ecosystems, identify trajectories of change, and opens windows of opportunity for intervention, and prioritization of conservation/restoration of coastlines, all of which will become more important in the face of climate change and sea level rise.</p>
Early Warning Value of Consumer Wearable Devices in AECOPD
ClinicalTrials.gov study NCT05974670. IPD Sharing: NO. Countries: 1. Publications: 0.
Analysis of Risk Factors and Establishment of Early Warning Model for Pulmonary Complications
ClinicalTrials.gov study NCT04967651. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Early Health Warning Intervention in Tobacco Control
ClinicalTrials.gov study NCT04996329. IPD Sharing: NO. Countries: 1. Publications: 0.
Development of Multimodal Fusion Warning System and Non-invasive Techniques for Early Alzheimer's Detection.
ClinicalTrials.gov study NCT05978830. IPD Sharing: NO. Countries: 1. Publications: 0.
Exploration of Early Warning System of Cardiac Arrest and Early Intervention
ClinicalTrials.gov study NCT05921851. IPD Sharing: NO. Countries: 1. Publications: 0.
Artificial Intelligence System for Early Warning of Adverse Events in Acute Myocardial Infarction
ClinicalTrials.gov study NCT07139860. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Establishment of a Biomarkers-based Early Warning System of Acute Respiratory Distress Syndrome (ARDS)
ClinicalTrials.gov study NCT03236272. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Research on Voice Intelligent Monitoring Technology for Early Warning of Recurrence of Depression Disorder
ClinicalTrials.gov study NCT04685083. IPD Sharing: Not stated. Countries: 1. Publications: 0.
"Critical State" Early Warning Score After CHD Surgery and Rapid Response Team
ClinicalTrials.gov study NCT06578312. IPD Sharing: NO. Countries: 1. Publications: 0.
Early Warning System for Allergic Rhinitis in the MASK-air® App
ClinicalTrials.gov study NCT06768736. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Establishment and Validation of Early-warning Model of Perioperative Pain for the Elders
ClinicalTrials.gov study NCT04228705. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Molecule Basic Study of Early Warning for New Pathogenic Risk of Ankylosing Spondylitis
ClinicalTrials.gov study NCT01709656. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ScienceDex guides
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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.