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106 results for “emergence time”
Time of emergence of climate change impacts
<p>Expected year in which climate impacts would exceed an extreme past economic shock value (95th percentile).</p> <p>Model used: CLIMRISK</p> <p>Scale: 0.5 degrees * 0.5 degrees</p> <p>Shock database consists of changes in annual GDP between 1950 - 2016.</p> <p>Citation: Ignjacevic, Predrag, Francisco Estrada Porrua, and Willem Jan Wouter Botzen. "Time of emergence of economic impacts of climate change." <em>Environmental Research Letters</em> (2021).</p>
Dataset and R code: Effects of temperature and air pollution on emergency ambulance dispatches: a time series analysis in a medium-sized city in Germany
<p>Dataset and R script to replicate results in the manuscript "Effects of temperature and air pollution on emergency ambulance dispatches: a time series analysis in a medium-sized city in Germany", currently under review.</p>
Data for "Emergent parametric resonances and time-crystal phases in driven Bardeen-Cooper-Schrieffer systems"
<p>These files contain the data for the article "Emergent parametric resonances and time-crystal phases in driven Bardeen-Cooper-Schrieffer systems" (https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.3.L042023). In each .zip file, it is possible to find not only the relevant data but also a script (.sh file extension) to generate each one of the 6 figures shown in the paper and Supplemental Material. The file "Phasediagram.zip" contains the data corresponding to the dynamical phase diagrams (Fig. 1). Here there are two separated folders with the data for the phase diagram of a parametric oscillator and a periodically driven Bardeen-Cooper-Schrieffer system. The data for the representative dynamics and Fourier Transforms outside and inside Arnold's tongues can be found in the files "DynamicsandFT_outsidetheArnoldtongues.zip" and "DynamicsandFT_insidetheArnoldtongues.zip" respectively. We have also included all the necessary data to reproduce the figures shown in the Supplemental Material in the files "robustness_timecrystal_and_timequasicrystal.zip", "Floquetspectrum_timecrystalregime.zip" and "phasediagram_differenttimewindows.zip". For all the .txt files inside the .zip files, we have added at the top of each column a brief description of the data recorded below. Some abbreviations have been used and read as follows: "wd" means drive frequency, "Delta" indicates the superconducting order parameter, and "\xi_k" means the quasiparticle energy.</p> <p> </p>
CESM2 data for "Internal Wind Driven Ocean Circulation Variability Delays the Time of Emergence of Externally Forced Sea Surface Temperature Trends" - submitted to GRL
<p>CESM2 Experiment names:</p> <ul> <li>MDM = mechanically decoupled model (referred to as MDM in paper)</li> <li>FCM = fully coupled model (referred to as FCM in paper)</li> </ul> <p>Details for files cesm2.[experiment name].SST.noise.nc</p> <ul> <li>These files include the unfiltered time-varying SST noise </li> <li>"noise" refers to ensemble standard deviation (no 10-yr running mean has been applied) </li> <li>"SST" is the annual mean SST</li> <li>Time period is 1900-2014</li> </ul> <p>For the ensemble mean SST, see previously created Zenodo repository by Fu et al: https://zenodo.org/records/10484207</p> <p>For other ensemble mean variables, see previously created Zenodo repository by McMonigal et al: https://zenodo.org/records/7154374</p>
Effect of Emergency Department Care Reorganization on Door-to-antibiotic Times for Sepsis (LDS SWARM)
ClinicalTrials.gov study NCT03226366. IPD Sharing: YES. Countries: 1. Publications: 1.
Data from: Variation in season length and development time is sufficient to drive the emergence and coexistence of social and solitary behavioral strategies
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Data from: Time of emergence of novel climates for North American migratory bird populations
To better understand the ecological implications of global climate change for species that display geographically and seasonally dynamic life-history strategies, we need to determine where and when novel climates are projected to first emerge. Here, we use a multivariate approach to estimate time of emergence (ToE) of novel climates based on three climate variables (precipitation, minimum and maximum temperature) at a weekly temporal resolution within the Western Hemisphere over a 280-year period (2021-2300) under a high emissions scenario (RCP8.5). We intersect ToE estimates with weekly estimates of relative abundance for 77 passerine bird species that migrate between temperate breeding grounds in North America and southern tropical and subtropical wintering grounds using observations from the eBird citizen-science database. During the non-breeding season, migrants that winter within the tropics are projected to encounter novel climates during the second half of this century. Migrants that winter in the subtropics are projected to encounter novel climates during the first half of the next century. During the beginning of the breeding season, migrants on their temperate breeding grounds are projected to encounter novel climates during the first half of the next century. During the end of the breeding season, migrants are projected to encounter novel climates during the second half of this century. Thus, novel climates will first emerge ca. 40-50 years earlier during the second half of the breeding season. These results emphasize the large seasonal and spatial variation in the formation of novel climates, and the pronounced challenges migratory birds are likely to encounter during this century, especially on their tropical wintering grounds and during the transition from breeding to migration. When assessing the ecological implications of climate change, our findings emphasize the value of applying a full annual cycle perspective using standardized metrics that promote comparisons across space and time.
Data and Code for "A Novel Emergent Constraint Approach for Refining Regional Climate Model Projections of Flood Timing" Paper Submission to AGU GRL
<p>This contains the emergent constraint code, the offline CMIP6 hydrology data, and the shapefiles for each region used in the paper "A Novel Emergent Constraint Approach for Refining Regional Climate Model Projections of Flood Timing" submitted to AGU GRL.</p>
Morphological integration, canalization, and plasticity in response to emergence time in Abutilon theophrasti
<p>The relationships between trait plasticity and canalization, and between phenotypic integration and plasticity, have been under debate, largely because direct evidence is still scarce for their associations, especially in response to environments. To investigate the relationships between canalization, integration and phenotypic plasticity in response to emergence time, we conducted a field experiment with an annual herbaceous species of <em>Abutilon theophrasti</em>, by subjecting plants to four treatments of emergence time (spring, late spring, summer and late summer), to measure a number of morphological traits and analyze correlations of plasticity with canalization and integration in these traits, at two stages of plant growth. Results showed plants with delayed emergence had higher phenotypic integration and more positive correlations between integration and plasticity, but less negative correlations between decreased canalization and plasticity, compared to those emerged in spring. Results suggested significant environmental changes that induce plastic responses, rather than environmental stress, can result in greater phenotypic integration in plants. Negative correlations between decreased canalization and plasticity occurred more frequently in plants emerging in spring and the least frequently in those emerging in summer, suggesting their relationship depends on specific environmental conditions and the degree of plasticity. Both increased phenotypic integration and decreased canalization might merely be the outcome of plastic responses, rather than mechanisms constraining or facilitating plasticity.</p>
Morphological plasticity in response to emergence time and population density in Abutilon theophrasti (Malvaceae)
<p>Increased density and delayed emergence are two major biotic factors in nature that have profound and complex effects on plants. No studies have attempt to compare the responses of plants to the two factors via morphological plasticity, particularly in dynamic patterns. We subjected plants of <em>Abutilon theophrasti</em> to four emergence times and three planting densities and measured and analyzed a number of mass and morphological traits at different growth stages. Across both stages, plants emerged in late spring had the highest total mass, and spring and late-spring plants had higher stem mass allocation than later germinants, but plants with delayed emergence had higher leaf and reproductive mass allocation, more leaves and less lateral roots, but lower stem length, stem and root diameter than early-emerged plants. Plants at high density performed lower in total mass and most other traits, but performed better in stem allocation and length, with shorter petioles and lateral roots, than at lower densities. In competition for resources, plants will prefer stem elongation to leaf/root growth, and even at the cost of reproduction to ensure the survival of the present generations when competition is intense or lethal. By contrast, plants will prefer the investment into leaf and reproductive growth to stem/root growth, for offspring persistence, when shortened lifetime does not threaten the contemporary survival. The contrasting strategies revealed the intelligence of plants in balancing between survival, growth and reproduction, depending on environmental contexts.</p>
Data and code for: Collective motion diminishes, but variation between groups emerges, through time in fish shoals
<p>Despite extensive interest in the dynamic interactions between individuals that drive collective motion in animal groups, the dynamics of collective motion over longer time frames are understudied. Using three-spined sticklebacks, <i>Gasterosteus aculeatus,</i> randomly assigned to twelve shoals of eight fish, we tested how six key traits of collective motion changed over shorter (within trials) and longer (between days) timescales under controlled laboratory conditions. Over both timescales, groups became less social with reduced cohesion, polarisation, group speed and information transfer. There was consistent inter-group variation (i.e. collective personality variation) for all collective motion parameters, but groups also differed in how their collective motion changed over days in their cohesion, polarisation, group speed and information transfer. This magnified differences between groups, suggesting that over time the 'typical' collective motion cannot be easily characterised. Future studies are needed to understand whether such between-group differences in changes over time are adaptive and represent improvements in group performance or are suboptimal but represent a compromise between individuals in their preferences for the characteristics of collective behaviour.</p>
Effectiveness of Subcutaneous Glargine On The Time To Closure of The Anion Gap in Patients Presenting to the Emergency Department With Diabetic Keto-acidosis
ClinicalTrials.gov study NCT02006342. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Emergence and return times in a colonial, cave-dwelling bat: age and sex differences driven by reproductive cycle
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Data from: Time of emergence of novel climates for North American migratory bird populations
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Data and code for: Collective motion diminishes, but variation between groups emerges, through time in fish shoals
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Morphological integration, canalization, and plasticity in response to emergence time in Abutilon theophrasti
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Morphological plasticity in response to emergence time and population density in Abutilon theophrasti (Malvaceae)
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Clinical surveillance identifies SARS-CoV-2 outbreaks and emergence of novel variants in real-time
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Data from: Melanin-based coloration of sneaker male Atlantic salmon is linked to viability and emergence timing of their offspring
The 'good genes' hypothesis of sexual selection predicts that male ornaments are favoured by female mate choice because male ornament reveals genetic quality. In species with different male reproductive tactics, variation in genetic quality among 'sneaking' males has rarely been investigated, as usually 'sneakers' are thought not to be chosen by females. Here we focused on the alternative reproductive tactic in Atlantic salmon (Salmo salar Linnaeus, 1758) to test whether the skin colour of sneakers may reveal the performance traits of their offspring. A fully factorial breeding design was realized between 20 sneakers and two females using in vitro fertilization. We quantified the red and dark colorations of males and measured the survival of their progeny under semi-natural conditions. In addition, the size of offspring and their emergence timing from the gravel nest were monitored in the laboratory. We found that darker males sired more viable offspring, whereas red coloration was negatively correlated with offspring survival. Nevertheless, darker and redder male pigmentations were linked to a delay in offspring emergence. These results demonstrate that colours can reveal individual genetic quality in an alternative male reproductive tactic, with male melanin-based coloration being linked to both beneficial and detrimental effects for the offspring. Our results imply that sneaker ornaments may potentially play a role in both intra- and intersexual selection.
Forecasting hourly emergency department arrival using time series analysis
<p></p> Background/aims <p>The stochastic arrival of patients at hospital emergency departments complicates their management. More than 50% of a hospital's emergency department tends to operate beyond its normal capacity and eventually fails to deliver high-quality care. To address this concern, much research has been carried out using yearly, monthly and weekly time-series forecasting. This article discusses the use of hourly time-series forecasting to help improve emergency department management by predicting the arrival of future patients.</p> Methods <p>Emergency department admission data from January 2014 to August 2017 was retrieved from a hospital in Iowa. The auto-regressive integrated moving average (ARIMA), Holt–Winters, TBATS, and neural network methods were implemented and compared as forecasters of hourly patient arrivals.</p> Results <p>The auto-regressive integrated moving average (3,0,0) (2,1,0) was selected as the best fit model, with minimum Akaike information criterion and Schwartz Bayesian criterion. The model was stationary and qualified under the Box–Ljung correlation test and the Jarque–Bera test for normality. The mean error and root mean square error were selected as performance measures. A mean error of 1.001 and a root mean square error of 1.55 were obtained.</p> Conclusions <p>The auto-regressive integrated moving average can be used to provide hourly forecasts for emergency department arrivals and can be implemented as a decision support system to aid staff when scheduling and adjusting emergency department arrivals.</p> <p></p><p></p><p></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.