This statistic shows the results of a survey conducted in the United States in 2017 on the duration of the current relationship status of Americans. The results were then sorted by age. Some 39 percent of respondents between 30 and 49 years stated they have been single/in a relationship for more than 10 years.

This statistic shows the results of a survey conducted in the United States in 2019 on how long the respondents thought the feeling of love could last in a relationship. According to 77 percent of respondents, the feeling of love in a relationship can last a lifetime.

This statistic illustrates the findings of a survey on the duration of current relationship or being single in the United Kingdom (UK) in June 2017, by sexual orientation. During the survey period, it was found that ** percent of responding homosexual individuals stated that they had been single or married for ten years and longer. Furthermore, it could be seen that the majority of respondents had been either single or in a relationship for longer than *** year.

This statistic indicates the average duration of romantic relationships in France in February 2016. According to the survey, 75 percent of people interviewed had been in a relationship for more than 10 years.

Persons 18 to 49 years who have had sexual relationships at some time in their life by sex, number of nights out in the last 12 months and initial age at first relationship. National.

Nearly 80 percent of Russians aged between 18 and 24 years were in a relationship with their partner for over an year, according to the survey from February 2020. Among the adult population from 35 to 44 years old, this figure was measured at 98 percent.

Persons 18 to 49 years who have had sexual relationships at some time in their life by sex, frequency of alcohol intake in the last 12 months and initial age at first relationship. National.

This contains data from 450 adult men who required urethral catheterization for various therapeutic and diagnostic reasons. All of them had their ages documented and anthropometric parameters measured. And their urethral lengths were measured by substracting the unsed catheter length from total usable cathether length.

The average relationship duration of Russians aged between 18 and 24 years was four years, according to survey results from February 2020. On average among all age categories, the mean length of a relationship between partners was measured at 21 years.

ABSTRACT Purpose: to investigate the existence of a relationship between vocabulary and measures of mean length of utterance in children in their language development phase. Methods: the sample consisted of 72 children aged 2 to 4 years, 11 months and 29 days, 36 boys and 36 girls, with typical language development, evenly distributed into age groups, enrolled in kindergartens with the public school system, in Santa Maria, RS, Brazil. Videos of the spontaneous speech of each subject were made, and then, the analysis of the vocabulary and Mean Length of Utterance took place. Statistical analysis was performed using the Statistical Analysis System program, version 9.2 and Spearman correlation coefficient, with a significance level of p

Persons who have had sexual relationships with new partners in the last year by sex, number of days they have been drunk in the last month and use of condom in the first sexual relationship with the last new partner. National.

1) demographic traitsthese data are published data of age-specific mortality rates, age-specific lengths or weights, length and age at maturity, fecundity-length relationships, and egg size for 84 populations from 49 species of primarily commercial teleost fishes. the populations included are those for which all the life history traits under study have been estimated over a period shorter than 10 years. traits were estimated from within the ten year window or averaged across it when data were available. only studies in which reference population, sample size, techniques used for ageing fish and counting eggs, and models used for estimating mortality were reported are included. when only a size or age range was available, the midpoint between the extreme values was used.raw data were converted into seven demographic traits:- time-to-5%-survival (t.05): the time elapsed from sexual maturity until 95% of a cohort is dead. t.05 fwas estimated from an exponential mortality model, based on total mortality coefficients estimated by virtual population analysis (age-structured model) in most cases or cohort analysis or catch curves.- length-at-5%-survival (l.05). in fishes, adult size is difficult to measure because of their indeterminate growth. adult size reported here is length at time-to-5%-survival. - age at sexual maturity (tm): median age at maturity was estimated directly from the data or by fitting a logistic curve to age-specific proportion mature data. when only an age range was available, the midpoint between minimum and maximum is reported. - length at sexual maturity (lm): median length at maturity was estimated as age at maturity. - slope of the fecundity-length relationship (fb): fish fecundity, defined as the number of eggs present in the ovaries immediately before spawning, is known to increase intraspecifically with the size of females. this increase is usually described by a power-law f = alb. the exponent of this relationship, b (slope of the log-log fecundity-length regression), accounts for the increase in fecundity with size.- fecundity at maturity (fm): fecundity in the year of maturity was estimated from length at maturity, the fecundity-length relationship and the number of spawning bouts per year for batch spawners. - egg volume (egg): when information on egg size was unavailable in specific papers, values were borrowed from other studies, using the following criteria in the descending order: from the same period, the same population, the same species. in five species of perciformes no estimate was available for any population, thus egg volume was estimated from other species of the same family.2) fishing pressurethree types of environments with low, moderate and high fishing pressure were defined.- to scale the pressure exerted by fishing to the natural population turn-over, it was expressed as the ratio of fishing mortality to natural mortality rates (f/m). data were gathered from the literature together with demographic traits. authors use the following methods to estimate natural mortality rates: intercept of a regression of total mortality on fishing effort, linear relationship known between estimates of natural mortality, growth parameters and the temperature, or multispecies models. fishing mortality rates were estimated from virtual population analysis or cohort analysis, or as the difference between total and natural mortality. three levels of fishing pressure were defined: low fishing pressure (fishing mortality lower than natural mortality, f/m < 1), intermediate (1 <= f/m < 2) and high (f/m >= 2).

Total biomass and areal biomass density are often necessary to establish ecological relationships and enable informed management decisions, in particular setting fisheries catch limits. Further refining these estimates to sub-population biomass based on length informs ecological models of predator-prey dynamics, ecosystem energy transfer and biogeochemical cycles; however, measures of uncertainty in these per-length biomass estimates are needed. We present a statistical method to calculate the per-length biomass of Antarctic krill (Euphausia superba) from conversion factors using acoustic and net sample data. Variability in krill length-frequency, and wetmass introduced by net sampling is also explored through non-parametric bootstrapping. We applied this method on a 1 mm length window to active acoustic and net sample data collected during an Antarctic krill biomass survey in CCAMLR Division 58.4.2 (62 – 67°S; 55 – 80°E, with a survey area of 775,732 km2) performed between February – March 2021. We found that 77% of the total estimated biomass was attributable to krill of length 14 – 49 mm. The largest biomass of krill in a single length bin was estimated as 340,000 t (95% CI: 148,000 - 408,000 t) and was found in the 49 mm length bin (i.e., 48.5 to 49.5 mm). This method will allow future surveys (with sufficient data) to estimate biomass of krill on a per-length basis along with associated uncertainty (confidence intervals) derived from net sampling and so may be used to provision size-based ecosystem models with krill biomass.

Regression parameters for the length of several bony structures against fish body length, and for body length against body weight, were determined for Owens tui chub (Siphateles bicolor snyderi), Lahontan tui chub (S. b. obesa) and hybrid swarm deriving from the two species. A total of 211 individuals from 16 localities from the Owens River and neighboring basins along the border between California and Nevada were used for regression analyses. The coefficient of determination of linear regressions for scales, pharyngeal arches, dentaries, cleithra, and opercula against body length were consistently high (r2 埲.9). Differences between subspecies were mainly with reference to the intercept parameter in comparisons involving Lahontan tui chub. Coefficients of determination from log-linear length-weight regressions were also high (r2 埲.9) for individual taxa and for the pooled data set combining both Lahontan and hybrid species. The length-weight relation ship did not differ between subspecies. Estimates of the length-weight relationship using data pooling both Lahontan and hybrid tui chub suggest a weak allometric growth effect (P<0.05). The bone-length to body-length and body-length to body-weight relationships presented here will be useful tools for future dietary studies of tui chub predators as well as for archaeological and paleontological studies on tui chub remains.

This data is applied to the relationship between body length and body weight of plateau fish to explore the growth status of plateau fish and compare the differences among different fish species. This study measured the length and weight of eight fishes in northwest China, analyzed and studied the relationship between length and weight, and evaluated their growth status. A total of 274 samples were collected by trawl nets (set gill nets) and ground bamboo cages with net diameters of 15 - 20 mm and 25 - 30 mm respectively. This study refers to LWRs of eight species of fish, and the b value conforms to the parameter standard. The b value of Schizothorax irregularis is calculated for the first time, which is a reference value for the research of Schizothorax irregularis. The statistical relationship between the length and weight of these eight fish species is highly significant (p < 0.01), with r² values >0.819.

Telomere length (TL) has become a biomarker of increasing interest within ecology and evolutionary biology, and has been found to predict subsequent survival in some recent avian studies but not others. Here, we undertake the first formal meta-analysis to test whether there is an overall association between TL and subsequent mortality risk in vertebrates other than humans and model laboratory rodents. We identified 27 suitable studies and obtained standardized estimates of the hazard ratio associated with TL from each. We performed a meta-analysis on these estimates and found an overall significant negative association implying that short telomeres are associated with increased mortality risk, which was robust to evident publication bias. While we found that heterogeneity in the hazard ratios was not explained by sex, follow-up period, maximum lifespan or the age group of the study animals, the TL–mortality risk association was stronger in studies using qPCR compared to terminal restriction fragment methodologies. Our results provide support for a consistent association between short telomeres and increased mortality risk in birds, but also highlight the need for more research into non-avian vertebrates and the reasons why different telomere measurement methods may yield different results.This article is part of the theme issue ‘Understanding diversity in telomere dynamics’.

This statistic shows the share of participants in Singapore who indicated that they would be celebrating Valentine's Day in 2019, broken down by the number of years they have been in a relationship or marriage. During the period surveyed, respondents who were in relationships for less than a year were most likely to celebrate Valentine's Day, with ** percent indicating that they would do so. In comparison, ** percent of survey respondents who were in relationships of 20 years or more indicated that they would be celebrating Valentine's Day in 2019.

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This dataset contains the digitized treatments in Plazi based on the original journal article Manikandaraja, Kumar, Ananth (2024): Studies on length and weight relationship of Indian snakehead Channa striatus. International Journal of Fisheries and Aquatic Studies 12 (2): 17-22, DOI: 10.22271/fish.2024.v12.i2a.2906, URL: http://dx.doi.org/10.22271/fish.2024.v12.i2a.2906

Aim: So far, latitudinal body size-clines have been primarily discussed in the context of thermoregulation, sensu Bergmann. However, body size patterns are ambiguous in ectotherms and this heterogeneity remains poorly understood. We tested whether Bergmann’s rule and the resource availability rule which states that energetic requirements determine species’ body size, apply to damselflies and dragonflies (Odonata). Furthermore, we hypothesised that the contrasting effects of thermoregulation and resource availability (e.g. productivity) can obscure the overall gradient in body size variation. Location: Global Time period: Contemporary Major taxa studied: Odonata Methods: Using data for 43% of all odonate species described so far, we tested our hypotheses in phylogenetically and spatially comparative analyses at assemblage and species level. For the distribution data, we integrated expert range maps and ecoregional ranges based on all available occurrence records. To distinguish between long-term versus evolutionarily recent responses of environmental drivers in body size, we constructed a phylogenetically informed classification of all odonate species and decomposed the body size into its phylogenetic and specific component for our subset of species. Results: We documented a weak positive relationship between body length and latitude but found strong and contrasting effects for temperature between dragonflies and damselflies and consistent positive effects for productivity that explained 35%–57% of body size variation. Moreover, we showed a strong phylogenetic signal in sized-based thermoregulation that shaped the distribution of dragonflies, but not of damselflies. Main conclusion: We concluded that temperature, productivity, and conservatism in size-based thermoregulation synergistically determine the distribution of ectotherms, while the taxon-specific importance of these factors can lead to contrasting results and weak latitude–size relationships. Our results reinforce the importance of body size as a determinant of species distributions and responses to climate change. Methods For our main analysis, we combined three types of information. 1) Body size We compiled body size data from measurements of museum specimens and from the literature for 2,802 odonate species worldwide. For the main analyses, we used only data of body length for adult male individuals but mobilized other proxies of body size if available for imputation of the body length and supplementary analysis of body shape differences between Anisoptera and Zygoptera. Specifically, we measured the body and hindwing length (excluding terminal appendages) from images of 724 individuals of African odonates provided by the Naturalis Biodiversity Center (RHNM, Leiden, The Netherlands) and 487 specimens of African species from the Senckenberg Natural History Museum (SNHM, Frankfurt, Germany). For the images of African species from the Naturalis Biodiversity Center, European species from Dijkstra and Lewington (2006), and North American species from Needham et al. (2000), we calculated the body length, hindwing length, and body area as previously described (Pinkert et al. 2017; Zeuss et al. 2017) using the R-package ‘png’ (Urbanek 2013). In short, the number of pixels of the body from the head to the distal end of the abdomen, that of the hindwing from its base to the tip, and the number of all pixels of the body were calculated. The pixel estimates were transformed to metric units through the product of the scale (provided or measured on the images) and image resolution. The body area and body length data from image-based measurements of 1,146 individuals were used to test for the difference in the body shape of both suborders. 3,612 additional length measurements were extracted from species descriptions provided in 19 literature and 2 internet sources (Table S1). Because of sexual dimorphism, we did not use females in our study if measurements from literature differentiated between sexes. If sources reported descriptive body size statistics, we collected the minimum and maximum values to calculate means to aid the integration of data across sources. For 305 individuals, we predicted the body length from the provided hindwing length with a linear mixed effects model that included a random slope for genus nested in family and suborder (n = 810, conditional R2 = 0.92). Finally, the 5,128 individual measurement values (1909 singletons including those where only average values were provided) of 2,802 species were aggregated to average values of body length (‘body size’ hereafter) per species. Because of this very strong phylogenetic signal in the body size of odonates, we partitioned the total variance of average species body size into a phylogenetic and specific component, using Lynch’s comparative method (Lynch 1991) in the R-package ‘ape’ (Paradis et al. 2004). The different aspects of body size variation in species-level, as well as assemblage-level analyses (i.e. averaged across species co-occurring within a 100 km × 100 km grid cell), are named ‘BL_mean’ (unpartitioned), ‘P’, and ‘S’, respectively. The P component represents the variation in body size predicted by the phylogenetic relationships between species. The S component represents residuals from these predictions and hence the species-specific deviation from the phylogenetically predicted part.
2) Distribution data We combined two types of distributional information: expert range maps and ranges derived from intersections of occurrence records with the terrestrial ecoregions of the world. We downloaded expert range maps from IUCN.org (IUCN 2021) and digitised range maps that cover the entire ranges of European odonates from Boudot and Kalkman (2015). The data were taxonomically harmonised and intersected with grid cells of approximately 100 km × 100 km (military grid reference system [mgrs]). However, many of the IUCN range maps were incomplete or were delineated by political borders instead of factual species ranges (Hughes et al. 2021). Except for the range maps from Boudot and Kalkman (2015), we used ecoregional ranges to extend and complete the dataset characterizing the distribution (Pinkert et al. 2022a). 3) Environmental data To investigate the environmental drivers of body size variation in Odonata assemblages, we used two variables associated with geographic patterns of temperature (mean annual temperature [‘Bio_1’] and elevation [‘Elev’]) along with the enhanced vegetation index (‘Annual_EVI’) as a proxy for productivity. The data were downloaded from the CHELSA (Karger et al. 2017, 2018; chelsa.org, current condition records) and EarthEnv (Amatulli et al. 2018) databases. The EVI layer was cropped to the extent of the climate variables (1 km × 1 km). For our main analyses, these data were aggregated(averaged) to the assemblage level. In addition to the trait and environmental data, the dataset included coordinates of the centroid of each grid cell. For detailed methods and further descriptions see Mähn et al. (Beyond latitude: Temperature, productivity, and thermal niche conservatism drive global body size variation in Odonata).