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101 results for “development rate”
Transcriptional regulation underlying the temperature response of embryonic development rate in the winter moth
<p>Climate change will strongly affect the developmental timing of insects, as their development rate largely depends on ambient temperature. However, we know little about the genetic mechanisms underlying the temperature sensitivity of embryonic development in insects. We investigated embryonic development rate in the winter moth (<em>Operophtera brumata</em>), a species with egg dormancy that has been under selection due to climate change. We used RNAseq to investigate which genes are involved in the regulation of winter moth embryonic development rate in response to temperature. Over the course of development, we sampled eggs before and after an experimental change in ambient temperature, including two early development weeks when the temperature sensitivity of eggs is low and two late development weeks when temperature sensitivity is high. We found temperature-responsive genes that responded in a similar way across development, as well as genes with a temperature response specific to a particular development week. Moreover, we identified genes whose temperature effect size changed around the switch in temperature sensitivity of development rate. Interesting candidate genes for regulating the temperature sensitivity of egg development rate included genes involved in histone modification, hormonal signalling, nervous system development, and circadian clock genes. In conclusion, the diverse sets of temperature-responsive genes we found here indicate that there are many potential targets of selection to change the temperature sensitivity of embryonic development rate. Identifying for which of these genes there is genetic variation in wild insect populations will give insight into their adaptive potential in the face of climate change.</p>
Figure. Age-specific survival rate (lx) and natality (m x) of Axinoscymnus apioides at different temperatures (20 °C, 23 °C, 26 °C, 29 °C, and 32 °C). in Temperature influences the development, survival, and life history of Axinoscymnus apioides Kuznetsov & Ren (Coleoptera: Coccinellidae), a predator of whitefly
Figure. Age-specific survival rate (lx) and natality (m x) of Axinoscymnus apioides at different temperatures (20 °C, 23 °C, 26 °C, 29 °C, and 32 °C).
Figure 6 The age-specific predation rate k in Long-term effects of saffron pollen on development, reproduction and predation capacity of Neoseiulus cucumeris (Acari: Phytoseiidae)
Figure 6 The age-specific predation rate k (x), and age-specific net predation rateqx() of Neoseiulus cucumeris when fed on saffron pollen for 10 and 20 generations (G10, G20) then switched toTetrany-
Enhancing pay quality: Development of a physical environment rating scale for children's folk games in chinese neighborhoods
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Development of whole-genome prediction models to increase the rate of genetic gain in intermediate wheatgrass (Thinopyrum intermedium) breeding
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Transcriptional regulation underlying the temperature response of embryonic development rate in the winter moth
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Data from: Laying sequence interacts with incubation temperature to influence rate of embryonic development and hatching synchrony in a precocial bird
Incubation starts during egg laying for many bird species and causes developmental asynchrony within clutches. Faster development of late-laid eggs can help reduce developmental differences and synchronize hatching, which is important for precocial species whose young must leave the nest soon after hatching. In this study, we examined the effect of egg laying sequence on length of the incubation period in Wood Ducks (Aix sponsa). Because incubation temperature strongly influences embryonic development rates, we tested the interactive effects of laying sequence and incubation temperature on the ability of late-laid eggs to accelerate development and synchronize hatching. We also examined the potential cost of faster development on duckling body condition. Fresh eggs were collected and incubated at three biologically relevant temperatures (Low: 34.9°C, Medium: 35.8°C, and High: 37.6°C), and egg laying sequences from 1 to 12 were used. Length of the incubation period declined linearly as laying sequence advanced, but the relationship was strongest at medium temperatures followed by low temperatures and high temperatures. There was little support for including fresh egg mass in models of incubation period. Estimated differences in length of the incubation period between eggs 1 and 12 were 2.7 d, 1.2 d, and 0.7 d at medium, low and high temperatures, respectively. Only at intermediate incubation temperatures did development rates of late-laid eggs increase sufficiently to completely compensate for natural levels of developmental asynchrony that have been reported in Wood Duck clutches at the start of full incubation. Body condition of ducklings was strongly affected by fresh egg mass and incubation temperature but declined only slightly as laying sequence progressed. Our findings show that laying sequence and incubation temperature play important roles in helping to shape embryo development and hatching synchrony in a precocial bird.
Data from: How well do embryo development rate models derived from laboratory data predict embryo development in sea turtle nests?
<p>Development rate of ectothermic animals varies with temperature. Here we use data derived from laboratory constant temperature incubation experiments to formulate development rate models that can be used to model embryonic development rate in sea turtle nests. We then use a novel method for detecting the time of hatching to measure the in situ incubation period of sea turtle clutches to test the accuracy of our models in predicting the incubation period from nest temperature traces. We found that all our models overestimated the incubation period. We hypothesize three possible explanations which are not mutually exclusive for the mismatch between our modeling and empirically measured in situ incubation period: (1) a difference in the way the incubation period is calculated in laboratory data and in our field nests, (2) inaccuracies in the assumptions made by our models at high incubation temperatures where there is no empirical laboratory data, and (3) a tendency for development rate in laboratory experiments to be progressively slower as temperature decreases compared with in situ incubation.</p>
The visualization of the collected data corresponding to the following paper: "The development of a Self-Rated ICF-based questionnaire (HEAR-COMMAND Tool) to evaluate Hearing, Communication, and Conversation disability: multinational experts' and patients' perspectives"
<p>These two PDF files include the data collected for a study conducted by Afghah et.al, 2022. They include the responses of the participant in this study to a newly developed self-rated ICF-based questionnaire. One file includes the responses to 30 demographic questions and the other one 88 ICF-based questions. The presented data were collected in Germany, the USA, and Egypt as well as overall data.</p> <p>The design of the questionnaire is described here:<br> Afghah, T., Alfakir, R., Meis, M., van Leeuwen, L. M., Kramer, S. E., Hammady, M., Youssif, M., & Wagener, K. C. (2021). The development of a Self-Rated ICF-based questionnaire (HEAR-COMMAND Tool) to evaluate hearing, communication, and conversation disability: multinational experts' and patients' perspectives. Zenodo. https://doi.org/10.5281/zenodo.5534360.</p> <p>This study was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project ID: 352015383 – SFB 1330, C4.</p>
Microclimate and the development rate of mosquito vectors
<b>Description: </b><p>This data sets includes microclimate data, mosquito development rate and mosquito wing size measurements collected from primary forest, logged forest and oil palm plantations. Microclimate data was recorded using Ibutton data loggers which measured soil temeprature at given sample sites. All mosquito eggs collected were reared under field conditions. Each mosquito sample was monitored daily in order to record the proportion emerging at each developemnt stage (larva, pupa and adult) along with the numebr of transition days between each development stage. Adult wing length (of each adult mosquito collected) was used as a simple proxy to measure adult vectorial capacity. </p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/21"><b>The impact of altered forest microclimate on the development rate of mosquito vectors</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=110">here</a></p><p><b>Files: </b>This consists of 1 file: template_PsomosMosquitoes.xlsx</p><p><b>template_PsomosMosquitoes.xlsx</b></p><p>This file contains dataset metadata and 3 data tables:</p><ol><li><p><b>Soil temperature</b> (described in worksheet Soiltemp)</p><p>Description: Datalogger records of soil temperature time series as sample sites</p><p>Number of fields: 4</p><p>Number of data rows: 875</p><p>Fields: </p><ul><li><b>Site</b>: SAFE Project sample site (Field type: Location)</li><li><b>Day</b>: Day of measurement; each site had records collected over seven days (Field type: Numeric)</li><li><b>Time</b>: Time of measurement (Field type: Time)</li><li><b>Soil Temperature</b>: Soil temperature (Field type: Numeric)</li></ul></li><li><p><b>Mosquito size</b> (described in worksheet Mosquito_wing_length)</p><p>Description: Wing measurements on individual mosquitoes</p><p>Number of fields: 3</p><p>Number of data rows: 119</p><p>Fields: </p><ul><li><b>Site</b>: SAFE Project sample site (Field type: Location)</li><li><b>SampleNumber</b>: Each replicate within a site represents a different mosquito that was measured (Field type: Replicate)</li><li><b>WingSize</b>: Adult mosquito wing length (Field type: Numeric Trait)</li></ul></li><li><p><b>Mosquito life history stages</b> (described in worksheet Development_data)</p><p>Description: Abundance and time frame for mosquito development</p><p>Number of fields: 8</p><p>Number of data rows: 26</p><p>Fields: </p><ul><li><b>Site</b>: SAFE Project sample site (Field type: Location)</li><li><b>Eggs</b>: Number eggs (Field type: Abundance)</li><li><b>Larvae</b>: Number larvae (Field type: Abundance)</li><li><b>Pupae</b>: Number pupae (Field type: Abundance)</li><li><b>Adults</b>: Number adults (Field type: Abundance)</li><li><b>egg-larvae</b>: Number of days to develop from egg to larvae (Field type: Numeric Trait)</li><li><b>larvae-pupae</b>: Number of days to develop from larvae to pupae (Field type: Numeric Trait)</li><li><b>pupae-adult</b>: Number of days to develop from pupae to adult (Field type: Numeric Trait)</li></ul></li></ol><p><b>Date range: </b>2015-05-01 to 2015-07-13</p><p><b>Latitudinal extent: </b>4.6532 to 4.7520</p><p><b>Longitudinal extent: </b>116.9635 to 117.5932</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div>Animalia<br> - Arthropoda<br> -  - Insecta<br> -  -  - Diptera<br> -  -  -  - Culicidae<br></div><p></p>
Dataset underlying the study "Changes in longevity, parasitization rate and development time of the whitefly parasitoid Encarsia formosa under future climate conditions"
<p>This dataset is underlying the scientific publication titled "Changes in longevity, parasitization rate and development time of the whitefly parasitoid <em>Encarsia formosa</em> under future climate conditions", published in the <a href="https://www.sciencedirect.com/journal/biological-control">Biological Control </a>journal. </p> <p>The first section of the dataset provides the meterological parameters used to drive climate chambers for the experiments conducted by LIST and UNICT researchers. The second section of the dataset provides a graphical representation, including the relevant metadata, of the survival rate of adult Encarsia formosa (a whitefly biocontrol agent) under various climate conditions. The third and final section of the dataset includes an overview of the whitefly parasitization rate of Encarsia formosa according to the different parameters of the experiments undertaken by the LIST and UNICT scientists.</p> <p>The provided figures and tables in the dataset are further discussed and interpreted in detail, as well as their subsequent results, in the scientific publication.</p> <p>This research was conducted within the VIRTIGATION project, which is part of the EU Open Research Data pilot. This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 101000570.</p>
Rate of Torque Development and Voluntary Quadriceps Activation in Patients With Knee Osteoarthritis: A Quantitative Analysis Before and After a Single Session of Manual Physical Therapy
ClinicalTrials.gov study NCT04234282. IPD Sharing: YES. Countries: 1. Publications: 2.
Service Development: Assessing Non-attendance Rates in Outpatient Clinics
ClinicalTrials.gov study NCT00129649. IPD Sharing: NO. Countries: 1. Publications: 1.
The Effects of Kinesio Tape® on Arthrogenic Muscle Inhibition and Rate of Torque Development
ClinicalTrials.gov study NCT03472924. IPD Sharing: NO. Countries: 1. Publications: 3.
Data from: Laying sequence interacts with incubation temperature to influence rate of embryonic development and hatching synchrony in a precocial bird
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Data from: How well do embryo development rate models derived from laboratory data predict embryo development in sea turtle nests?
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Data from: Development and validation of warning system of ventricular tachyarrhythmia in patients with heart failure with heart rate variability data
Implantable-cardioverter defibrillators (ICD) detect and terminate life-threatening ventricular tachyarrhythmia with electric shocks after they occur. This puts patients at risk if they are driving or in a situation where they can fall. ICD's shocks are also very painful and affect a patient's quality of life. It would be ideal if ICDs can accurately predict the occurrence of ventricular tachyarrhythmia and then issue a warning or provide preventive therapy. Our study explores the use of ICD data to automatically predict ventricular arrhythmia using heart rate variability (HRV). A 5 minute and a 10 second warning system are both developed and compared. The participants for this study consist of 788 patients who were enrolled in the ICD arm of the Sudden Cardiac Death – Heart Failure Trial (SCD-HeFT). Two groups of patient rhythms, regular heart rhythms and pre-ventricular-tachyarrhythmic rhythms, are analyzed and different HRV features are extracted. Machine learning algorithms, including random forests (RF) and support vector machines (SVM), are trained on these features to classify the two groups of rhythms in a subset of the data comprising the training set. These algorithms are then used to classify rhythms in a separate test set. This performance is quantified by the area under the curve (AUC) of the ROC curve. Both RF and SVM methods achieve a mean AUC of 0.81 for 5-minute prediction and mean AUC of 0.87-0.88 for 10-second prediction; an AUC over 0.8 typically warrants further clinical investigation. Our work shows that moderate classification accuracy can be achieved to predict ventricular tachyarrhythmia with machine learning algorithms using HRV features from ICD data. These results provide a realistic view of the practical challenges facing implementation of machine learning algorithms to predict ventricular tachyarrhythmia using HRV data, motivating continued research on improved algorithms and additional features with higher predictive power.
Data from: Adult mortality probability and nest predation rates explain parental effort in warming eggs with consequences for embryonic development time
Parental behavior and effort vary extensively among species. Life history theory suggests that age-specific mortality could cause this interspecific variation, but past tests have focused on fecundity as the measure of parental effort. Fecundity can cause costs of reproduction that confuse whether mortality is the cause or consequence of parental effort. We focus on a trait, parental time and effort in warming embryos, which varies widely among species of diverse taxa and is not tied to fecundity. We conducted studies on songbirds of four continents and show that time spent warming eggs varies widely among species and latitudes, and is not correlated with clutch size. Adult and offspring (nest) mortality explained most of the interspecific variation in time and effort that parents spend warming eggs measured by average egg temperatures. Parental effort in warming eggs is important because embryonic temperature can influence embryonic development period and, hence, exposure time to predation risk. We show through correlative evidence and experimental swapping of embryos between species that parentally induced egg temperatures cause interspecific variation in embryonic development period. The strong association of age-specific mortality with parental effort in warming eggs and the subsequent effects on embryonic development time are unique results that can advance understanding of broad geographic patterns of life history variation.
Data from: Measuring embryonic heart rate of wild birds: an opportunity to take the pulse on early development
Embryonic heart rate has the potential to provide great insight into physiological variation and ontogenic status in early development. The availability of a relatively inexpensive and portable piece of equipment – the Buddy egg monitor (Vetronic Services, UK), provides the opportunity to measure embryonic heart rate non-invasively in the field. Here we demonstrate the application of this equipment in the climatically harsh Australian outback. We characterize variation in embryonic heart rate in the zebra finch with respect to a range of abiotic and biotic variables. Heart rate increased throughout embryonic development and was positively correlated with ambient temperature. There was a strong effect of the nest of origin but no clear effect of laying order, or egg size, on embryonic heart rate. Our results demonstrate the sensitivity of embryonic heart rate to environmental conditions, and/or natal origin. We review studies that have used the digital egg monitor, and in discussing our own results identify areas of avian biology that could benefit from embryonic heart rate measurements in the future.
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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.