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200 results for “scent”
Does scent attractiveness reveal women's ovulatory timing? Evidence from signal detection analyses and endocrine predictors of odor attractiveness
<p>Odor cues associated with shifts in ovarian hormones indicate ovulatory timing in females of many nonhuman species. Although prior evidence supports women's body odors smelling more attractive on days when conception is possible, that research has left ambiguous how diagnostic of ovulatory timing odor cues are, as well as whether shifts in odor attractiveness are correlated with shifts in ovarian hormones. Here, 46 women each provided 6 overnight scent and corresponding day saliva samples spaced 5 days apart, and completed luteinizing hormone tests to determine ovulatory timing. Scent samples collected near ovulation were rated more attractive, on average, relative to samples from the same women collected on other days. Importantly, however, signal detection analyses showed that rater discrimination of fertile window timing from odor attractiveness ratings was very poor. Within-women shifts in salivary estradiol and progesterone were not significantly associated with within-women shifts in odor attractiveness. Between-women, mean estradiol was positively associated with mean odor attractiveness. Our findings suggest that raters cannot reliably detect women's ovulatory timing from their scent attractiveness. The between-women effect of estradiol raises the possibility that women's scents provide information about overall cycle fecundity, though further research is necessary to rigorously investigate this possibility.</p>
Data for: Development of a method for the measurement of human scent samples using comprehensive two-dimensional gas chromatography with mass detection
<p>This dataset was used for development of a method for the measurement of human scent samples using comprehensive two-dimensional gas chromatography with mass detection [<a href="https://doi.org/10.1016/j.forsciint.2016.09.011">https://doi.org/10.1016/j.forsciint.2016.09.011</a>].</p> <p>The dataset contains chromatograms of a model mixture of human scent and chromatograms of the human scent of one volunteer measured on different column setups. Each sample was processed in ChromaToF(version 4.72.0.0) by LECO corp. The processing step was executed at the signal-to-noise (SN) ratio levels 100, 300, and 500 (human scent samples chromatograms).</p>
Data from: The heat is on: reduced detection of floral scents after heat waves in bumblebees
<p>Global climate change disrupts key ecological processes and biotic interactions. The recent increase in heat wave frequency and severity prompts the evaluation of physiological processes that ensure the maintenance of vital ecosystem services such as pollination. We use experimental heat waves to determine how high temperatures affect the bumblebees' ability to detect floral scents. Heat waves induced strong reductions in antennal responses to floral scents in both tested bumblebee species (<em>Bombus terrestris and Bombus pascuorum</em>). These reductions were generally stronger in workers than in males. Bumblebees showed no consistent pattern of recovery 24 hours after heat events. Our results suggest that the projected increased frequency and severity of heat waves may jeopardize bumblebee-mediated pollination services by disrupting the chemical communication between plants and pollinators. The reduced chemosensitivity can decrease the bumblebees' abilities to locate food sources and lead to declines in colonies and populations.</p>
Post-revision data and R Script for Murtagh et al. 'The scent of enrichment: Exploring the effect of odour and biological salience on behaviour during enrichment of kennelled dogs.'
<p>Data and analysis file (written in R studio) for the paper Murtagh et al. 'The scent of enrichment: Exploring the effect of odour and biological salience on behaviour during enrichment of kennelled dogs.' Updated based on reviewer comments and additional analyses requested (master data and analysis filed labelled with 'rev' suffix).</p>
Signal detection theory applied to giant pandas: Do pandas go out of their way to make sure their scent marks are found?
<p><span>Inter-animal communication allows signals released by an animal to be perceived by others. Scent-marking is the primary mode of such communication in giant pandas </span><span>(<em>Ailuropoda melanoleuca</em>)</span><span>. Signal detection theory propounds that animals choose the substrate and location of their scent marks so that the signals released are transmitted more widely and last longer. We believe that pandas trade off scent-marking because they are an energetically marginal species and it is costly to generate and mark chemical signals. Existing studies only indicate where pandas mark more frequently, but their selection preferences remain unknown. This study investigates whether the marking behavior of pandas is consistent with signal detection theory. Feces count, reflecting habitat use intensity, was combined with mark count to determine the selection preference for marking. The results showed that pandas preferred to mark ridges with animal trails and that most marked tree species were locally dominant. In addition, marked plots and species were selected for lower energy consumption and a higher chance of being detected. Over 90% of the marks used were the longest-surviving anogenital gland secretion marks, and over 80% of the marks were oriented toward animal trails. Our research demonstrates that pandas go out of their way to make sure their marks are found. This study not only sheds light on the mechanisms of scent-marking by pandas but also guides us toward more precise conservation of the panda habitat.</span></p>
Smell in COVID-19 and Efficacy of Nasal Theophylline (SCENT 3)
ClinicalTrials.gov study NCT05947643. IPD Sharing: NO. Countries: 1. Publications: 62.
Data from: Macroevolution of floral scent chemistry across radiations of male euglossine bee-pollinated plants
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Data from: The scent of offspring: chemical profiles of larvae change during development and affect parental behavior in a burying beetle
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Data from: Direct effects of polyploidization on floral scent
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Data from: frugivory by carnivores: black-backed jackals are key dispersers of seeds of the scented !nara melon in the Namib desert
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Does scent attractiveness reveal women’s ovulatory timing? Evidence from signal detection analyses and endocrine predictors of odor attractiveness
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Data from: Scented nectar and the challenge of measuring honest signals in pollination
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Experimental data supporting the interactive effects of mating receptivity and courtship pheromones on the scent preferences of female red-legged salamanders
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Data from: Generalist-pollinated <em>Arabis alpina</em> exhibits floral scent variation at multiple scales
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Data from: The heat is on: reduced detection of floral scents after heat waves in bumblebees
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Data for: Development of a method for the measurement of human scent samples using comprehensive two-dimensional gas chromatography with mass detection
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Signal detection theory applied to giant pandas: Do pandas go out of their way to make sure their scent marks are found?
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Data from: Predator activity and scent cues influence white-tailed deer behavior in a multi-predator landscape
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Data from: What smells? Developing in-field methods to characterize the chemical composition of wild mammalian scent cues
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Male dingo urinary scents code for age class and wild dingoes respond to this information
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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.