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1,014 results for “hair”
Data for: Atoh1 is required for the formation of lateral line electroreceptors and hair cells, whereas Foxg1 represses an electrosensory fate
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Quantification of hair cell number, ribeye b and nuclei in the zebrafish inner ear endorgans
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Evaluating the use of hair as a non-invasive indicator of trace mineral status in woodland caribou (Rangifer tarandus caribou)
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Hair phenotype diversity across Indriidae lemurs
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Singing silver-haired bats (Lasionycteris noctivagans)
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Data from: Temperature-related differences in hair cortisol among outdoor-housed Rhesus Macaques (Macaca mulatta)
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Genomic analyses of hair from Ludwig van Beethoven
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From hidden hearing loss to supranormal auditory processing by neurotrophin 3-mediated modulation of inner hair cell synapse density
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Evaluating the use of non‐invasive hair sampling and ddRAD to characterize populations of endangered species: Application to a peripheral population of the European mink
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Charting the nanotopography of inner hair cell synapses using MINFLUX nanoscopy
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Data from: Hair and plasma cortisol throughout the first three years of development in infant rhesus macaques, Macaca mulatta
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Data from: A genotyping-in-thousands by sequencing panel to inform invasive deer management using non-invasive fecal and hair samples
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The GPR30 agonist G-1 promotes hair growth via Wnt/Hedgehog signaling in mice
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Data from: Does facial hair greying in chimpanzees provide a salient progressive cue of aging?
<p><span><span><span><span><span><span><span><span><span><span><span>The greying of human head hair is arguably the most salient marker of human aging. In wild mammal populations, greying can change with life history or environmental factors (e.g., sexual maturity in silverback gorillas). Yet, whether humans are unique in our pattern of age-related hair depigmentation is unclear. We examined the relationship between pigmentation loss in facial hair (greying) to age, population, and sex in wild and captive chimpanzees (<i>Pan troglodytes</i>). Digital facial photographs representing three chimpanzee populations (N=145; ages 1–60 years) were scored for hair greying on a scale of one [~100% pigmented] to six [~0% pigmented]. Our data suggest that chimpanzee head and facial hair generally greys with age prior to mid-life (~30 years old), but afterwards, greying ceases to increase incrementally. Our results highlight that chimpanzee pigmentation likely exhibits substantial variation between populations, and that both 'grey' and pigmented phenotypes exist across various age classes. Thus, chimpanzee facial hair greying is unlikely a progressive indicator of age beyond mid-life, and thus facial greying in chimpanzees seems different from the pattern observed in humans. Whether this reflects neutral differences in senescence, or potential differences in selection pressures (e.g. related to conspecific communication), is unclear and worthy of more detailed examination across populations and taxa.</span></span></span></span></span></span></span></span></span></span></span></p>
SimRoot Simulation Results - Root Hairs and Nitrogen
<p><strong><em>SimRoot</em> modeling data</strong></p> <p>In order to investigate the relationships between changes in root hair phenotypes and N capture under different N and transpiration regimes, a maize root system with the primary root and lateral branches varying in root hair length and density were simulated in the functional-structural plant model <em>SimRoot</em>. <em>SimRoot</em> offers a realistic platform to simulate the effect of the whole root system and/or a specific root traits on plant growth and resource acquisition because it is equipped with both carbon and nutrient models (Lynch <em>et al.</em> 1997; Dathe <em>et al.</em> 2016). Root hair length was modified by varying root hair growth rate. We used a 1*1*1 mm cubic finite element grid for the simulations. Simulations were run for 15 days. Transpiration rate was modified to manipulate the mass flow component. Four levels of nitrate were used in the simulations corresponding to 20.8, 62.4, 104 and 145.6 kg ha<sup>-1</sup>. All root parameters except for the parameters of interest (root hair length, root hair density) were kept constant. </p> <p>This research was supported by grants from the Howard G. Buffett Foundation and the National Science Foundation-PGRP grant DBI 0820624 to JPL and Mahidol University to PS’s time for developing the manuscript. </p>
Macroclimate drives growth of hair lichens in boreal forest canopies
<p><b>1. </b>Epiphytic lichens are important biodiversity components of forest canopies worldwide, significantly contributing to ecosystem function. The relative growth rate (RGR), a measure of fitness, drives population dynamics and shapes lichens' large-scale distributions. In a climate change scenario, we need to know how external (macro- and microclimate, and nitrogen deposition), and internal factors (cortical pigments, chlorophyll and specimen size) affect RGR in these ecologically important canopy organisms.</p> <p><b>2. </b>We used dominant pendulous (hair) lichens widely distributed across the boreal biome to test the hypothesis that precipitation drives RGR of pale (<i>Alectoria sarmentosa,</i> <i>Usnea dasopoga</i>) and dark species (<i>Bryoria fuscescens</i>) to a different extent across a large-scale gradient from continental to oceanic climates (precipitation: 450-2600 mm) in Scandinavia (60-64° N, 5-19° E). After transplanting lichens to lower branches of <i>Picea abies</i> in nine boreal forest sites for one year, we used linear mixed effect models to analyze how total precipitation, rainfall, number of days with rain, temperature sum, nitrogen deposition, light, chlorophyll <i>a</i> (an indicator of photosynthetic capacity), and size influenced their RGR.</p> <p><b>3. </b>RGR was highest in the pale species (<i>Alectoria</i> and <i>Usnea</i>) and increased with amount and frequency of precipitation, with >3 times higher RGR in the wettest compared to the driest site. The number of days with rain was a better predictor of RGR than total precipitation or rain. By contrast, RGR of the dark <i>Bryoria</i> weakly increased with precipitation. RGR in all species increased with light and decreased with size. Chlorophyll <i>a</i> concentration, boosted by moderate nitrogen deposition, increased RGR of all species.</p> <p><b>4. </b>In conclusion, rainfall likely drives the distribution of the pale species due to their higher RGR and abundance in wet climates but cannot explain why <i>Bryoria</i> dominate drier inland forests. Our results highlight that the functional links between rainfall and RGR depends on both color of the lichens (pale versus dark pigments) and hydration traits.</p> <p><b>5.</b><i> Synthesis</i>. Our findings may explain the global, regional and local distribution patterns of hair lichens and help us to predict how environmental hazards such as climate change and forestry influence these important boreal canopy components.</p>
Automated analysis of scanning electron microscopic images for assessment of hair surface damage
<p>Mechanical damage of hair can serve as an indicator of health status and its assessment relies on the measurement of morphological features via microscopic analysis, yet few studies have categorized the extent of damage sustained, and instead, have depended on qualitative profiling based on the presence or absence of specific features. We describe the development and application of a novel quantitative measure for scoring hair surface damage in scanning electron microscopic (SEM) images without predefined features, and automation of image analysis for characterization of morphological hair damage after exposure to an explosive blast. Application of an automated normalization procedure for SEM images revealed features indicative of contact with materials in an explosive device and characteristic of heat damage, though many were similar to features from physical and chemical weathering. Assessment of hair damage with tailing factor, a measure of asymmetry in pixel brightness histograms and proxy for surface roughness, yielded 81% classification accuracy to an existing damage classification system, indicating good agreement between the two metrics. Further ability of tailing factor to score features of hair damage reflecting explosion conditions demonstrates the broad applicability of the metric to assess damage to hairs containing a diverse set of morphological features. </p>
Rapid mechanical stimulation of inner-ear hair cells by photonic pressure
<p>Hair cells, the receptors of the inner ear, detect sounds by transducing mechanical vibrations into electrical signals. From the top surface of each hair cell protrudes a mechanical antenna, the hair bundle, which the cell uses to detect and amplify auditory stimuli, thus sharpening frequency selectivity and providing a broad dynamic range. Current methods for mechanically stimulating hair bundles are too slow to encompass the frequency range of mammalian hearing and are plagued by inconsistencies. To overcome these challenges, we have developed a method to move individual hair bundles with photonic force. This technique uses an optical fiber whose tip is tapered to a diameter of a few micrometers and endowed with a ball lens to minimize divergence of the light beam. Here we describe the fabrication, characterization, and application of this optical system and demonstrate the rapid application of photonic force to vestibular and cochlear hair cells.</p>
XFP-115 bone hair pin. Sanak Island, Alaska
A bone hair or cloak pin. Sanak Island, Alaska. CAT# XFP-115-1 XFP-115 is a small shell midden and tempoorary camp on the northwest shore of Sanak Island, Alaska. The site is dated 350-50 BCE These artifacts were scanned with either a Faro Edge Arm or a Minolta Vivid 9i. Processed in Geomagic or Polyworks. 4-8 photos were used for texture in ZBrush. The Sanak Island artifacts are presented as a result of the research conducted under grants NSF 0326584, NSF 0508101, NSF 1139266, NSF 1321411. H. Maschner, Principal Investigator. Original digitizing work done at the IVL at Id. St. Univ. Subsequent processing completed at Global Digital Heritage. Fieldwork and analysis done with the permission and collaboration of the Pauloff Harbor Tribe and the Sanak Corporation Source: Objaverse 1.0 / Sketchfab
FIGURES 1–8. Figs. 1–2. Radiarctia screabile. 1. R. screabile displaying orange cervical hairs. 2. R. screabile type 2 sustained static display. Fig. 3 in A review of some of the Binna- like species of Afrotropical Spilosoma Curtis (1825) listed by Goodger & Watson (1995) and including the genus Radiarctia Dubatolov (2006) (Lepidoptera: Arctiidae, Arctiinae)
FIGURES 1–8. Figs. 1–2. Radiarctia screabile. 1. R. screabile displaying orange cervical hairs. 2. R. screabile type 2 sustained static display. Fig. 3. Binna penicillata, ♂, Kenya, Suna (BMNH). Figs. 4–6. Radiarctia spp. 4. R. screabile screabile, ♂, Zimbabwe, Harare (PGH). 5. R. screabile screabile, Ψ, Zimbabwe, Harare (PGH). 6. R. screabile nyangana, holotype ♂, Zimbabwe, Nyanga (BMNH). Figs. 7–8. Pseudoradiarctia spp. 7. P. rho de s i a na, ♂, Zimbabwe, Nyanga (PGH). 8. P. rhodesiana (Hampson), paralectotype Ψ, Zimbabwe, Harare (BMNH).
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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.