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156 results for “survival rate”
An Empirical Study on the Survival Rate of GitHub Projects
<p>This zip provides the replication package for the paper titled <em>An Empirical Study on the Survival Rate of GitHub Projects</em> sent to the <em>Mining Software Repositories 2022</em> conference, currently under review.</p>
Data from: Selection on early survival does not explain germination rate clines in Mimulus cardinalis
<p><strong>Premise</strong> Many traits covary with environmental gradients to form phenotypic clines. While local adaptation to the environment can generate phenotypic clines, other nonadaptive processes may also. If local adaptation causes phenotypic clines, then the direction of genotypic selection on traits should shift from one end of the cline to the other. Traditionally genotypic selection on non-Gaussian traits like germination rate have been hampered because it is challenging to measure their genetic variance.</p> <p><strong>Methods</strong> Here we used quantitative genetics and reciprocal transplants to test whether a previously discovered cline in germination rate showed additional signatures of adaptation in the scarlet monkeyflower (<em>Mimulus cardinalis</em>). We measured genotypic and population level covariation between germination rate and early survival, a component of fitness. We developed a novel discrete log-normal model to estimate genetic variance in germination rate.</p> <p><strong>Results</strong> Contrary to our adaptive hypothesis, we found no evidence that genetic variation in germination rate contributed to variation in early survival. Across populations, southern populations in both gardens germinated earlier and survived more. </p> <p><strong>Conclusions</strong> Southern populations have higher early survival but this is not caused by faster germination. This pattern is consistent with nonadaptive forces driving the phenotypic cline in germination rate, but future work will need to assess whether there is selection at other life stages. This statistical framework should help expand quantitative genetic analyses for other waiting-time traits.</p>
Fig 2 in Growth performance, nutrient utilization and survival rate of Clarias gariepinus fed varied inclusion of processed Moringa oleifera diets
Fig 2: Biweekly growth performance of Clarias gariepinus fed 3% and 5% inclusion of Moringa Processed diets
Figures represent five groups respectively. In group, when the dispersal rate is equal to 1% values of the probability of disperser survival are 1, 0.9, 0.8, 0.7, 0.6, 0.5 respectively as in groups and in The Influence Of Dispersal On The Metapopulation Viability Of Giant Panda (Aliuropoda Melanoleuca) In The Minshan Mountains
Figures represent five groups respectively. In group, when the dispersal rate is equal to 1% values of the probability of disperser survival are 1, 0.9, 0.8, 0.7, 0.6, 0.5 respectively as in groups and
Fig. 1 in High winter survival rate of acorn ants inside artificial nest sites (Hymenoptera: Formicidae)
Fig. 1 – Changes in temperature recorded near the nest sites with the Temnothorax crassispinus ant colonies localised at ground level, as well as near the nest sites about 5 cm below ground level and 1.5 m above ground level. The experiment lasted from 4 December 2020 to 24 February 2021, but only the temperatures for February are presented. The higher temperatures recorded at ground level and 5 cm below ground level, compared to the temperatures 1.5 above ground level, were probably affected by heating from the sun; the data loggers situated 1.5 m above ground level were attached to trees on the north side, so they were not affected by the sun.
Figure 5 in How long do dolphins live? Survival rates and life expectancies for bottlenose dolphins in zoological facilities ťs. wild populations
Figure 5. Kaplan-Meier survival curves depicting the proportion of bottlenose dolphins in zoological care surviving to each age (calculated in days, then transformed to years) during four time periods.
Figure 2 in How long do dolphins live? Survival rates and life expectancies for bottlenose dolphins in zoological facilities ťs. wild populations
Figure 2. ASR (95% confidence intervals) of bottlenose dolphin calves <1 yr old in zoological care across historical time periods.
Figure 4 in How long do dolphins live? Survival rates and life expectancies for bottlenose dolphins in zoological facilities ťs. wild populations
Figure 4. The population age structure for bottlenose dolphins in zoological care on the last day of each time period.
Figure 3 in How long do dolphins live? Survival rates and life expectancies for bottlenose dolphins in zoological facilities ťs. wild populations
Figure 3. Survivorship to each age as calculated for age-at-death data for modern-day dolphins in zoological care and two wild populations.
Figure 1 in How long do dolphins live? Survival rates and life expectancies for bottlenose dolphins in zoological facilities ťs. wild populations
Figure 1. ASR (95% confidence intervals) of bottlenose dolphins>1 yr old in zoological care across historical time periods.
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 1 in Assessing population size and survival rate of Pelophylax bedriagae caralitanus, in a well-protected Nature Park in Türkiye
Figure 1. Location of Gölcük Nature Park Isparta, Türkiye and satellite view of Gölcük Lake, where Capture-Mark-Recapture studies were carried out.
Figure 4 in Assessing population size and survival rate of Pelophylax bedriagae caralitanus, in a well-protected Nature Park in Türkiye
Figure 4. Annual fluctuation in population size for Gölcük population of Pelophylax bedriagae caralitanus.
Figure 3 in Assessing population size and survival rate of Pelophylax bedriagae caralitanus, in a well-protected Nature Park in Türkiye
Figure 3. The dorsal pattern of Pelophylax bedriagae caralitanus that captured in different trapping occasions. Arrows of different colours indicate matches of dorsal patterns of the same individual.
Fig. 2 in Do growth rate and survival differ between undisturbed and disturbed environments for Sceloporus spinosus Wiegmann, 1828 (Squamata: Phrynosomatidae) from Oaxaca, Mexico?
Fig. 2. Growth rate of Sceloporus spinosus. (A) Undisturbed area (UA) males, (B) Disturbed area (DA) males, (C) UA females, and (D) DA females. Black circles represent data points for individual lizards. Modeled relationships between growth and body sizes of males and females: solid lines = Von Bertalanffy, dashed lines = logistic by length, and dotted lines = logistic by mass.
Fig. 1 in Do growth rate and survival differ between undisturbed and disturbed environments for Sceloporus spinosus Wiegmann, 1828 (Squamata: Phrynosomatidae) from Oaxaca, Mexico?
Fig. 1. Map of the study area. The green polygon depicts Yagul Natural Protected Area, including the two sampling sites (UA = undisturbed area; DA = disturbed area, land use change).
Fig. 3. Means and 95 in Do growth rate and survival differ between undisturbed and disturbed environments for Sceloporus spinosus Wiegmann, 1828 (Squamata: Phrynosomatidae) from Oaxaca, Mexico?
Fig. 3. Means and 95% confidence intervals of the Asymptotic growth (A) and Characteristic growth (r) parameters obtained by 1 the Von Bertalanffy and logistic by length models for males and females of Sceloporus spinosus in both Disturbed area (DA) and Undisturbed area (UA) populations.
Figure 1 in Effects of a Spirulina platensis-based diet on zebrafish female reproductive performance and larval survival rate
Figure 1. - Percentage of spawn according to the size of the clutch. Error bars represents standard error mean (SEM). **: p-value ≤ 0.01; FG: Flakes Group; SG: Spirulina platensis Group.
Figure 3 in Effects of a Spirulina platensis-based diet on zebrafish female reproductive performance and larval survival rate
Figure 3. - Larvae survival rate (mean +/- SEM) when larvae are fed with 3 different diets, starting from 7 days post fertilization (0 hour).
Figure 2 in Effects of a Spirulina platensis-based diet on zebrafish female reproductive performance and larval survival rate
Figure 2. - HT50 represents the time required to observe 50% hatched embryos in the two diet groups spawned one (Day 1), five (Day 5) and ten (Day 10) days after diet change. **: p-value ≤ 0.01; ***: p-value ≤ 0.001. Standard errors are represented. FG: Flakes Group; SG: Spirulina platensis Group.
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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.