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176 results for “temperature variation”
Figure 1 in Temperature-dependent geographic variation in the flashes of the firefly Luciola cruciata (Coleoptera: Lampyridae)
Figure 1. Locations of the five study sites, Tomioka, Chino, Matsuo-kyo, Kofu, and Shimobe in central Japan. For reference, the location of Tokyo, the capital of Japan, is also shown.
Figure 3 in Temperature variation and the presence of troglobionts in terrestrial shallow subterranean habitats
Figure 3. Top panel, temperature profiles at hourly intervals for the La Guancha, 70 cm MSS site (black line) and Cueva del Mulo (grey line). Centre panel, spectral densities (y-axis) for different cycle periods (x-axis) for cycles up to 100 days for the MSS site. Note the absence of a 24 hour period even at very low spectral densities. Bottom panel, spectral densities (y-axis) for different cycle periods (x-axis) for cycles up to 100 days for the cave sites. Note the weak 24 hour period.
Figure 5 in Temperature variation and the presence of troglobionts in terrestrial shallow subterranean habitats
Figure 5. Top panel, temperature profiles at hourly intervals for an MSS (dark grey line), epikarst (black line) and cave (grey line) site in the doline where the entrance of Jama v Kovačiji is located. Upper centre panel, spectral densities (y-axis) for different cycle periods (x-axis) for cycles up to 100 days for the MSS site. Note the strong 24 hour period. Lower centre panel, spectral densities (y-axis) for different cycle periods (x-axis) for cycles up to 100 days for the epikarst site. Note the weak 24 hour period. Lower panel, spectral densities (y-axis) for different cycle periods (x-axis) for cycles up to 100 days for the cave site. Note the weak 24 hour period.
Figure 2 in Temperature variation and the presence of troglobionts in terrestrial shallow subterranean habitats
Figure 2. Top panel, temperature profiles at hourly intervals for an MSS site (black line) and nearby surface site (grey line) in a laurel forest in Teno in northwest Tenerife, Canary Islands (see Figure 1). Centre panel, spectral densities (y-axis) for different cycle periods (x-axis) for cycles up to 100 days for the surface site. Note the strong period at 24 hours. Bottom panel, spectral densities (y-axis) for different cycle periods (x-axis) for cycles up to 100 days for the MSS site. Note the absence of a 24 hour period even at very low spectral densities.
Figure 1 in Temperature variation and the presence of troglobionts in terrestrial shallow subterranean habitats
Figure 1. (A) Photographs of Teno MSS site on Tenerife in old volcanic rock. Note the stabilization of the habitat by moss on the surface. Photographs were taken at a road cut. The actual site was about 2 m from the cut. (B) Photograph of La Guancha clinker MSS site on Tenerife in volcanic rock. Structure of the rocks developed at the time of deposition of the lava. (C) Photograph of MSS site at Mašun, Slovenia in flysch. Note the similarity to the MSS site shown in panel A even though the rock is different. This site also has a moss layer stabilizing the habitat. (D) Photograph of MSS site at Jama v Kovačiji. Compared to other MSS sites, this had more dirt infilling.
Figure 4 in Temperature variation and the presence of troglobionts in terrestrial shallow subterranean habitats
Figure 4. Top panel, temperature profiles at hourly intervals for an MSS site at Mašun, Slovenia (see Figure 1), at depths of 20 cm (dark grey line), 50 cm (black line) and 80 cm (grey line). Upper centre panel, spectral densities (y-axis) for different cycle periods (x-axis) for cycles up to 100 days for the upper MSS site. Note the strong 24 hour period. Lower centre panel, spectral densities (y-axis) for different cycle periods (x-axis) for cycles up to 100 days for the intermediate MSS site. Note the weak 24 hour period. Lower panel, spectral densities (y-axis) for different cycle periods (x-axis) for cycles up to 100 days for the deep MSS site. Note the absence of any 24 hour period, even at low spectral densities.
Alternate patterns of temperature variation bring about very different disease outcomes at different mean temperatures
<p>The dynamics of host-parasite interactions are highly temperature-dependent and may be modified by increasing frequency and intensity of climate-driven heat events. Here, we show that altered patterns of temperature variance lead to an almost order-of-magnitude shift in thermal performance of host and pathogen life history traits over and above the effects of mean temperature and, moreover, that different temperature regimes affect these traits differently. We found that diurnal fluctuations of ±3°C lowered infection rates and reduced spore burden compared to constant temperatures in our focal host <em>Daphnia magna</em> exposed to the microsporidium parasite <em>Ordospora colligata</em>. In contrast, a three-day heatwave (+6°C) did not affect infection rates, but increased spore burden (relative to constant temperatures with the same mean) at 16°C, while reducing burden at higher temperatures. We conclude that changing patterns of climate variation, superimposed on shifts in mean temperatures due to global warming, may have profound and unanticipated effects on disease dynamics.</p>
Data and Code for: Plasticity and not adaptation is the primary source of temperature-mediated variation in flowering phenology in North America
<p>This submission contains all the code and data necessary for reproducing 1) the dataset, 2) the main results, and 3) all supplemental analyses appearing in the manuscript titled: <em>Plasticity and not adaptation is the primary source of temperature-mediated variation in flowering phenology in North America</em> (Ramirez-Parada, Park, Record, Davis, Ellison, and Mazer, 2023). A preprint of this manuscript can be accessed at: https://doi.org/10.21203/rs.3.rs-3131821/v1.</p> <p> </p> <p>Extracting the compressed file will generate a folder titled "Project folder", containing sub-folders named "Data" and "R code". In order for the code to work, users need to preserve the folder structure of the code and data, as the R Markdown files in the "R code" folder have relative file paths that read and write data within the "Data" folder. Moving either would require re-writing the filepaths across Rmds for the code to run.</p> <p><br> To replicate the results, the following R Markdowns must be run in sequence (once they have been run, the Rmds for supplemental analyses can be used in any order):</p> <p><br> <em>"1. Subsetting Dataset.Rmd"</em></p> <p>This file processes a specimen dataset of ca. 2.3 million specimens that we assembled for this project (publicly available on Dryad: <a href="https://doi.org/10.25349/D9WP6S">https://doi.org/10.25349/D9WP6S</a>), filtering out duplicates, specimens out of the spatial scope of the PRISM data used for all analyses, and subsetting to only those species represented by a minimum of 300 specimens. This filtering yields a dataset of 1,038,047 specimens in flower across 1,605 species.</p> <p>For an in-depth description of the starting dataset, please refer to the "READ ME.txt" file within the "Project folder", and visit its corresponding Dryad repository (linked above).</p> <p><br> <em>"2. Main Analysis - Estimating S_space, S_time, and S_diff.Rmd"</em></p> <p>This file uses the subset dataset produced by the previous Rmd to fit the varying-intercepts, varying-slopes model that produced the estimates of apparent plasticity and apparent adaptation underlying all main analyses. This Rmd exports a dataset of species-specific estimates of S<sub>space</sub>, S<sub>time</sub>, and S<sub>space</sub> - S<sub>time</sub> that is used to recreate Figures 2, 3, and 4 of the main text in the next step. This is the most time consuming R Markdown file to run, as each MCMC chain used to fit the model in Stan must be run on a dedicated processor (limiting the usefulness of parallel computation). Fitting the model using 3 MCMC chains, 1000 iterations for warmup, and 4000 iterations for sampling, took approximately 24 hours using an Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz processor. </p> <p> </p> <p><em>"3. Main Analysis - Figures 2, 3, and 4.Rmd"</em></p> <p>Finally, this Rmd uses the dataset of species-specific estimates to conduct all analyses underlying Figures 2, 3, and 4, recreating each of these figures.</p> <p><strong><em>For detailed descriptions of all materials (code and data) and instructions for using them, please refer to the "READ ME.txt" file within "Project folder". </em></strong></p> <p> </p>
Core Temperature Variations During Midazolam vs Propofol Sedation for Neuraxial Anesthesia
ClinicalTrials.gov study NCT02502877. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Data from: Modeling seasonal surface temperature variations in secondary tropical dry forests
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Data from: Quantitative genetic variation in, and environmental effects on, pathogen resistance and temperature-dependent disease severity in a wild trout
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Data from: Trait variation in response to varying winter temperatures, diversity patterns and signatures of selection along the latitudinal distribution of the widespread grassland plant Arrhenatherum elatius
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Data from: Temperature can shape a cline in polyandry, but only genetic variation can sustain it over time
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The roles of temperature, nest predators and information parasites for geographical variation in egg covering behaviour of tits (Paridae)
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Data from: Genetic and phenotypic variation in juvenile development in relation to temperature and developmental pathway in a geometrid moth
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Data from: Geographical variation in species' population responses to changes in temperature and precipitation
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Data from: Variation in growth and developmental responses to supraoptimal temperatures near latitudinal range limits of gypsy moth Lymantria dispar (L.), an expanding invasive species
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Data from: Variation in individual temperature preferences, not behavioural fever, affects susceptibility to chytridiomycosis in amphibians
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Data from: Local divergence of thermal reaction norms among amphibian populations is affected by pond temperature variation
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Data from: Spatial and temporal variation in nest temperatures forecasts sex ratio skews in a crocodilian with environmental sex determination
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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.