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470 results for “dead”
Data from: The quick and the dead: microbial demography at the yeast thermal limit
The niche of microorganisms is determined by where their populations can expand. Populations can fail to grow because of high death or low birth rates, but these are challenging to measure in microorganisms. We developed a novel technique that enables single cell measurement of age-structured birth and death rates in the budding yeast, Saccharomyces cerevisiae, and used this method to study responses to heat stress in a genetically diverse panel of strains. We find that individual cells show significant heterogeneity in their rates of birth and death during heat stress. Genotype-by-environment effects on processes that regulate asymmetric cell division contribute to this heterogeneity. These lead to either premature senescence or early life mortality during heat stress, and we find that a mitochondrial inheritance defect explains the early life mortality phenotype of one of the strains we studied. This study demonstrates how the interplay of physiology, genetic variation, and environmental variables influence where microbial populations survive and flourish.
FIGURE 1 in Battling the un-dead: the status of the Diptera genus-group names originally proposed in Johann Wilhelm Meigen's 1800 pamphlet
FIGURE 1. Title page of Meigen (1800). From facsimile edition in Hemming (1945).
Shear-wave splitting measurements in the Dead Sea rift
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FIGURE 3 in Greeneria saprophytica sp. nov. on dead leaves of Syzygium cumini from Chiang Rai, Thailand
FIGURE 3. Greeneria saprophytica: conidiogenous cells and conidia.
Fig. 1 in Dead-twig discrimination for oviposition in a cicada, Cryptotympana facialis (Hemiptera: Cicadidae)
Fig. 1 Photograph of Cyptotympana facialis adult females in the observation chamber
WHY DID GOGOL BURN THE SECOND VOLUME OF DEAD SOULS?
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Treating Alzheimer's and reviving the dead brain using the properties of quantum intelligence in the Orch OR model
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Fig. 23 in Dead man's fingers point to new taxa: two new genera of New Zealand soft corals (Anthozoa, Octocorallia) and a revision of Alcyonium aurantiacum Quoy & Gaimard, 1833
Fig. 23. Kotatea niwa gen. et sp. nov., holotype (MAGNT C015226), SEMs of sclerites. A. Base surface. B. Base interior. C. Polyps (in situ).
Figure 1 in Living together in dead coral rocks: macrosymbiotic communities associated with Bonellia echiuran worms (Annelida: Thalassematidae: Bonelliinae), involving new commensal bivalve and amphipod species
Figure 1. Geographic location of the study site (Kushimoto, Wakayama Prefecture, Japan).
Fig. 1. Dead fruit tree with circle trunk trap generating a in Faunistic survey of myrmecophilous and other ant-associated beetles and spiders in the Belgian province of Limburg (Araneae, Coleoptera, Hymenoptera: Formicidae)
Fig. 1. Dead fruit tree with circle trunk trap generating a barrier for upwards climbing insects.
Label-Free Differentiation of Living versus Dead Single Yeast Cells using Broadband Electrical Impedance Spectroscopy
<p>Data to support manuscript.</p>
Fig. 1 in What have we learned from the dead? A compilation of three years of cooperation between entomologists and crime scene investigators in Southern Brazil
Fig. 1. Location of Paraná State (Southern Brazil) and municipalities where the cases occurred in detail. (1) Ponta Grossa, (2) Campo Magro, (3) Colombo, (4) Campina Grande do Sul, (5) Quatro Barras, (6) Curitiba, (7) São José dos Pinhais, (8) Fazenda Rio Grande, (9) Araucária, (10) Campo do Tenente, (11) Lapa.
Data from: Minimally invasive estimation of ventricular dead space volume through use of Frank-Starling curves
This paper develops a means of more easily and less invasively estimating ventricular dead space volume (Vd), an important, but difficult to measure physiological parameter. Vd represents a subject and condition dependent portion of measured ventricular volume that is not actively participating in ventricular function. It is employed in models based on the time varying elastance concept, which see widespread use in haemodynamic studies, and may have direct diagnostic use. The proposed method involves linear extrapolation of a Frank-Starling curve (stroke volume vs end-diastolic volume) and its end-systolic equivalent (stroke volume vs end-systolic volume), developed across normal clinical procedures such as recruitment manoeuvres, to their point of intersection with the y-axis (where stroke volume is 0) to determine Vd. To demonstrate the broad applicability of the method, it was validated across a cohort of six sedated and anaesthetised male Pietrain pigs, encompassing a variety of cardiac states from healthy baseline behaviour to circulatory failure due to septic shock induced by endotoxin infusion. Linear extrapolation of the curves was supported by strong linear correlation coefficients of R = 0.78 and R = 0.80 average for pre- and post- endotoxin infusion respectively, as well as good agreement between the two linearly extrapolated y-intercepts (Vd) for each subject (no more than 7.8% variation). Method validity was further supported by the physiologically reasonable Vd values produced, equivalent to 44.3-53.1% and 49.3-82.6% of baseline end-systolic volume before and after endotoxin infusion respectively. This method has the potential to allow Vd to be estimated without a particularly demanding, specialised protocol in an experimental environment. Further, due to the common use of both mechanical ventilation and recruitment manoeuvres in intensive care, this method, subject to the availability of multi-beat echocardiography, has the potential to allow for estimation of Vd in a clinical environment.
FIGURES 14–15 in Scuttle flies (Diptera: Phoridae) caught at dead mice in S. W. Finland
FIGURES 14–15. Megaselia breviterga female, Dufour's crop mechanism from two different specimens
FIGURE 13. Megaselia breviterga female, abdominal sternite 7 in Scuttle flies (Diptera: Phoridae) caught at dead mice in S. W. Finland
FIGURE 13. Megaselia breviterga female, abdominal sternite 7 and lobes at rear of sternum 8.
FIGURE 2 in Scuttle flies (Diptera: Phoridae) caught at dead mice in S. W. Finland
FIGURE 2. Megaselia altifrons female, left lobe at rear of ventral face of abdominal segment 8.
FIGURE 1 in Scuttle flies (Diptera: Phoridae) caught at dead mice in S. W. Finland
FIGURE 1. Megaselia altifrons female, dorsal face of abdomen from rear of tergite 3 onwards.
Figure 4 from: Marshall SA, Evenhuis NL (2015) New species without dead bodies: a case for photo-based descriptions, illustrated by a striking new species of Marleyimyia Hesse (Diptera, Bombyliidae) from South Africa. ZooKeys 525: 117-127. https://doi.org/10.3897/zookeys.525.6143
Figure 4 - Marleyimyia xylocopae Marshall & Evenhuis, sp. n., left wing. Fig. 4 derives from Photo no. 7007 (Campground site) and was adjusted for brightness and contrast. Photo: Steve Marshall.
Figure 5 from: Marshall SA, Evenhuis NL (2015) New species without dead bodies: a case for photo-based descriptions, illustrated by a striking new species of Marleyimyia Hesse (Diptera, Bombyliidae) from South Africa. ZooKeys 525: 117-127. https://doi.org/10.3897/zookeys.525.6143
Figure 5 - Marleyimyia natalensis Hesse, male holotype. A habitus, dorsal view B Head, frontal view C habitus, lateral view D labels. Photos: Simon Van Noort, Iziko South African Museum.
Figure 3 from: Marshall SA, Evenhuis NL (2015) New species without dead bodies: a case for photo-based descriptions, illustrated by a striking new species of Marleyimyia Hesse (Diptera, Bombyliidae) from South Africa. ZooKeys 525: 117-127. https://doi.org/10.3897/zookeys.525.6143
Figure 3 - Right antenna of Marleyimyia species. A Marleyimyia xylocopae Marshall & Evenhuis, sp. n. B Marleyimyia goliath (Oldroyd) [from Oldroyd 1951, fig. 5]. Fig. 3A derives from Photo no. 7015 (Red Cliffs site), was rotated slightly to match the illustration (Fig. 3B), and was adjusted for brightness and contrast. Photo: Steve Marshall.
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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.