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795 results for “fluctuations”
Observation of quantum many-body effects due to zero point fluctuations in superconducting circuits
<p>Scripts used for the data treatment of sample A</p>
Vaccinate a fluctuating population
<p>This code is used to generate the figures displayed in the Journal of Applied Ecology paper, "When to vaccinate a fluctuating wildlife population: is timing everything?".</p>
Fig. 5 in Topography and climatic fluctuations boosting speciation: biogeography and a molecular phylogeny of the East African genera Afroanthracites Hemp & Ingrisch and Afroagraecia Ingrisch & Hemp (Orthoptera, Tettigoniidae, Conocephalinae, Agraeciini)
Fig. 5 Distribution of Afroanthracites in East Africa
Fig. 3 in Topography and climatic fluctuations boosting speciation: biogeography and a molecular phylogeny of the East African genera Afroanthracites Hemp & Ingrisch and Afroagraecia Ingrisch & Hemp (Orthoptera, Tettigoniidae, Conocephalinae, Agraeciini)
Fig. 3 Map of the Usambara Mountains of Tanzania with forest reserves visited
Figure 6 in Using digital images in the study of fluctuating asymmetry in the spur-thighed tortoise Testudo graeca
Figure 6. Regression plot with extreme variation in humeral scute area (HSA) for differences in left–right sides of the plastron due to malformations indicated by white arrows (SCL: straight carapace length; dashed line: standard deviation).
Figure 3 in Using digital images in the study of fluctuating asymmetry in the spur-thighed tortoise Testudo graeca
Figure 3. The deviation from bilateral symmetry in females and males for area (A) in mm2 and height (H) and width (W) in mm (LSP: left side of plastron, RSP: right side of plastron).
Figure 4 in Short-time salinity fluctuations are strong activators of oxidative stress in Mediterranean mussel (Mytilus galloprovincialis)
Figure 4. Short-time salinity fluctuations modulate DNA damage in hemocytes of mussels. Mussels were acclimated to high (24-40 ‰, HS) and low (6-14‰, LS) environmental salinity. DNA damages in hemocytes were evaluated based on Comet assay. Bars indicate mean±SE. Results were considered significant when p<0.05 by Mann-Whitney test (n=10).
Data for "Scattering-Based Super-Resolution Optical Fluctuation Imaging"
Open the record for dataset details and reuse information.
Figure data for article "Fluctuation-induced Bistability of Fermionic Atoms Coupled to a Dissipative Cavity"
<p>The files contain the data depicted in the figures of the article "Fluctuation-induced Bistability of Fermionic Atoms Coupled to a Dissipative Cavity", arXiv:2409.16035 (2024)</p> <p>The format of the data and to which figure it corresponds is described in the file "read_me_metadata.txt".</p>
Data from: Effects of acclimation time and epigenetic mechanisms on growth of Neurospora in fluctuating environments
Reaction norms or tolerance curves have often been used to predict how organisms deal with fluctuating environments. A potential drawback is that reaction norms measured in different constant environments may not capture all aspects of organismal responses to fluctuating environments. We examined growth of the filamentous fungus Neurospora crassa in fluctuating temperatures and tested if growth in fluctuating temperatures can be explained simply by growth in different constant temperatures or if more complex models are needed. In addition, as previous studies on fluctuating environments have revealed that past temperatures that organisms have experienced can affect their response to current temperature, we tested the roles of different epigenetic mechanisms in response to fluctuating environments using different mutants. We found that growth of Neurospora can be predicted in fluctuating temperatures to some extent if acclimation times are taken into account in the model. Interestingly, while fluctuating environments have been linked with epigenetic responses we found only some evidence of involvement of epigenetic mechanisms on tolerating fluctuating temperatures. Mutants which lacked H3K4 or H3K36 methylation had slightly impaired response to temperature fluctuations, in addition the H3K4 methylation mutant and a mutant in the RNA interference pathway had altered acclimation times.
Data from: Fluctuating, warm temperatures decrease the effect of a key floral repressor on flowering time in Arabidopsis thaliana
The genetic basis of growth and development is often studied in constant laboratory environments; however, the environmental conditions that organisms experience in nature are often much more dynamic. We examined how daily temperature fluctuations, average temperature, day length and vernalization influence the flowering time of 59 genotypes of Arabidopsis thaliana with allelic perturbations known to affect flowering time. For a subset of genotypes, we also assessed treatment effects on morphology and growth. We identified 17 genotypes, many of which have high levels of the floral repressor FLOWERING LOCUS C (FLC), that bolted dramatically earlier in fluctuating - as opposed to constant - warm temperatures (mean = 22°C). This acceleration was not caused by transient VERNALIZATION INSENSITIVE 3-mediated vernalization, differential growth rates or exposure to high temperatures, and was not apparent when the average temperature was cool (mean = 12°C). Further, in constant temperatures, contrary to physiological expectations, these genotypes flowered more rapidly in cool than in warm environments. Fluctuating temperatures often reversed these responses, restoring faster bolting in warm conditions. Independently of bolting time, warm fluctuating temperature profiles also caused morphological changes associated with shade avoidance or 'high-temperature' phenotypes. Our results suggest that previous studies have overestimated the effect of the floral repressor FLC on flowering time by using constant temperature laboratory conditions.
Data from: Escherichia coli populations in unpredictably fluctuating environments evolve to face novel stresses through enhanced efflux activity
There is considerable understanding about how laboratory populations respond to predictable (constant or deteriorating environment) selection for single environmental variables such as temperature or pH. However, such insights may not apply when selection environments comprise multiple variables that fluctuate unpredictably, as is common in nature. To address this issue, we grew replicate laboratory populations of Escherichia coli in nutrient broth whose pH and concentrations of salt (NaCl) and hydrogen peroxide (H2O2) were randomly changed daily. After ~170 generations, the fitness of the selected populations had not increased in any of the three selection environments. However, these selected populations had significantly greater fitness in four novel environments which have no known fitness-correlation with tolerance to pH, NaCl or H2O2. Interestingly, contrary to expectations, hypermutators did not evolve. Instead, the selected populations evolved an increased ability for energy-dependent efflux activity that might enable them to throw out toxins, including antibiotics, from the cell at a faster rate. This provides an alternate mechanism for how evolvability can evolve in bacteria and potentially lead to broad-spectrum antibiotic resistance, even in the absence of prior antibiotic exposure. Given that environmental variability is increasing in nature, this might have serious consequences for public health.
Figure 2 in Fluctuating asymmetry in populations of the South American frog Physalaemus cuvieri (Leptodactylidae) in areas with different degrees of disturbance
Figure 2. Morphological characters analysed for fluctuating asymmetry in Physalaemus cuvieri.
Figure 2 in Natural history of Peucetia flava (Araneae, Oxyopidae): seasonal density fluctuation, phenology and sex ratio on the glandular plant Rhyncanthera dichotoma (Melastomataceae)
Figure 2. Phenogram of the Peucetia flava population on plants of Rhyncanthera dichotoma.
Figure 4 from: Ferreira RL, Martins VM, Paixão ER, Silva MS (2015) Spatial and temporal fluctuations of the abundance of Neotropical cave-dwelling moth Hypena sp. (Noctuidae, Lepidoptera) influenced by temperature and humidity. Subterranean Biology 16: 47-60. https://doi.org/10.3897/subtbiol.16.5137
Figure 4 - Spatial distribution maps of Hypena sp. demonstrating different densities between seasons. In the dry seasons (17/07/1999 and 10/07/2000) individuals are located in the deepest region of the cave, an opposite pattern during rainy seasons (16/01/2000 and 19/01/2001) when the population of individuals becomes denser in the region near the cave entrance. Blue colors indicate low densities while light yellow colors indicate high densities.
Figure 1 from: Ferreira RL, Martins VM, Paixão ER, Silva MS (2015) Spatial and temporal fluctuations of the abundance of Neotropical cave-dwelling moth Hypena sp. (Noctuidae, Lepidoptera) influenced by temperature and humidity. Subterranean Biology 16: 47-60. https://doi.org/10.3897/subtbiol.16.5137
Figure 1 - A Photograph indicating the cave entrance and the surrounding region, whose native forest was turned into pasture B Conduit located in the area near the entrance C Individuals of Hypena sp. resting on the cave wall.
Figure 3 from: Ferreira RL, Martins VM, Paixão ER, Silva MS (2015) Spatial and temporal fluctuations of the abundance of Neotropical cave-dwelling moth Hypena sp. (Noctuidae, Lepidoptera) influenced by temperature and humidity. Subterranean Biology 16: 47-60. https://doi.org/10.3897/subtbiol.16.5137
Figure 3 - Spatial Point Pattern Analysis of the second monitoring (January 2000). A Dot map and (B), shows the estimations of the function K (r is the distance argument, Dashed line corresponds to the theoretical value of this function is Complete Spatial Randomness and solid lineis the Observed value of the K function for the date pattern) C Map Kernel Estimates of intensity.
Figure 2 from: Ferreira RL, Martins VM, Paixão ER, Silva MS (2015) Spatial and temporal fluctuations of the abundance of Neotropical cave-dwelling moth Hypena sp. (Noctuidae, Lepidoptera) influenced by temperature and humidity. Subterranean Biology 16: 47-60. https://doi.org/10.3897/subtbiol.16.5137
Figure 2 - A Variation in temperature and humidity along the Taboa cave, showing a tendency to stabilize in the deeper parts of the cave. The table shows the section in which the Hypena sp specimens were collected (B) Change in abundance over the transects, the arrow indicates the spatial extent where the effects of the surface seasonality promote decrease and expansion in the population distribution.
Fluctuating environments promote evolvability by shaping adaptive variation accessible to populations (Data)
<p>Data used in "Fluctuating environments promote evolvability by shaping adaptive variation accessible to populations", along with the scripts and analysis files. These include the configuration files used for Avida and the Wright-Fisher simulations. </p>
Figure 5 in Microhabitat use by Mediterranean ribbed newts: newts in highly fluctuating conditions?
Figure 5. Structure of the mesohabitats of each species in the genus Pleurodeles.
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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.