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3,484 results for “Plastic”
Supplementary dataset for "Plasticity of repetitive sequences demonstrated by the complete mitochondrial genome of Eucalyptus camaldulensis"
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Plastic Fiber Low Light Measurement Data
<p>The FleX-RAY project employed plastic scintillating fibres to detect high energy (X-ray, gamma, cosmic) photons and particles. Due to the very low light yields expected, silicon photomultipliers (SiPMs) were used to detect the visible light generated by scintillation. Due to the very high sensitivity of SiPMs, coating of the fibres was required, to shield them from ambient light. A custom set-up was constructed with a twofold purpose. One, to measure the effectiveness of the coating in preventing ambient light from entering the fibres, and second, to measure the attenuation of light travelling through the fibres.</p> <p>This repository contains the following data:</p> <p>Data file titled "fibreCoatingAndTransmissionEfficiency.xlsx".</p> <p>A description of the setup, the instruments used and the methodology devised to determine the required parameters are described in the following publication: Comanescu, B. et al. (2023) ‘Plastic Fiber Low Light Measurement Method’, in The eurasia proceedings of science, technology, engineering & mathematics. IConTES 2023: International Conference on Technology, Engineering and Science, ISRES Publishing, pp. 641–647.</p> <p>This work was financed by the European Union's Horizon 2020 program under grant agreement No. 899634.</p>
Unified nonlinear elasto-visco-plastic rheology for bituminous rocks at variable pressure and temperature
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Associated data for "SOX10, MITF, and microRNAs: decoding their interplay in regulating melanoma plasticity (doi: 10.1002/ijc.35499)".
<p>This deposit contains the data and analysis to recreate the results in the paper- <span>Lai X</span>, <span>Luan C</span>, <span>Zhang Z</span>, et al. <span>SOX10, MITF, and microRNAs: Decoding their interplay in regulating melanoma plasticity</span>. <em>Int J Cancer</em>. <span>2025</span>; <span>1</span>-<span>17</span>. doi: <a title="Link to external resource: 10.1002/ijc.35499" href="https://doi.org/10.1002/ijc.35499" target="_blank" rel="noopener">10.1002/ijc.35499.</a></p> <p>If you have used the data for your research, please cite the original publication. Thank you very much.</p> <p> </p> <p> </p>
Performance Analysis of Porous Asphalt Mixed with Recycled Plastics
<p>Performance Analysis of Porous Asphalt Mixed with Recycled Plastics </p> <p> </p>
FIGURE 1 in True branching and phenotypic plasticity in the planktonic cyanobacterium Dolichospermum brachiatum sp. nov. (Nostocales, Aphanizomenonaceae), from south-eastern Australia
FIGURE 1. Morphology of Dolichospermum brachiatum from Waranga Basin. Scale bars = 20 μm.
Supplementary material 2 from: Muraro M, Romagnoli S, Barzaghi B, Falaschi M, Manenti R, Ficetola GF (2021) Invasive predators induce plastic and adaptive responses during embryo development in a threatened frog. NeoBiota 70: 69-86. https://doi.org/10.3897/neobiota.70.65454
Raw data
Indomethacin Polymorph δ Revealed to be Two Plastically Bendable Crystal Forms by 3D Electron Diffraction: Correcting a 47-Year-Old Misunderstanding
<p>Raw electron diffraction data of indomethacin polymorphs <span class="math-tex">\(δ\)</span> and <span class="math-tex">\(θ\)</span> obtained via solution and melt crystallization, respectively. Single crystals were grown using microdroplet melt crystallization and crushed to give microcrystals suitable for electron diffraction. Data were collected using a JEOL JEM-2100 LaB6 TEM operated at 200 kV and equipped with a Timepix hybrid pixel detector.</p> <p> </p>
Phenotypic plasticity is aligned with phenological adaptation on micro- and macroevolutionary timescales
<p><span><span><span><span><span><span><span><span><span><span><span>In seasonally-variable environments, phenotypic plasticity in phenology may be critical for adaptation to fluctuating environmental conditions. Using an 18-generation longitudinal dataset from natural damselfly populations, we show that phenology has strongly advanced. Individual fitness data suggest this is likely an adaptive response towards a temperature-dependent optimum. A laboratory experiment revealed that developmental plasticity qualitatively matches the temperature-dependence of selection, partially explaining observed advance in phenology. Expanding our analysis to the macroevolutionary level, we use a database of over 1-million occurrence records and spatiotemporally-matched temperature data from 49 Swedish Odonate species to infer macroevolutionary dynamics of phenology. Phenological plasticity was more closely aligned with adaptation for species that have recently colonized northern latitudes, but with higher phenological mismatch at lower latitudes. Our results show that phenological plasticity plays a key role in microevolutionary dynamics within a single species, and such plasticity may have facilitated post-Pleistocene range expansion in this insect clade. </span></span></span></span></span></span></span></span></span></span></span></p>
Dataset behaviour plasticity of birds
<p><span>Bird species subjected to more variable environments should have greater phenotypic plasticity than those that are more restricted to specific habitat types leading to the expectation that migratory birds should be relatively more plastic than resident birds. </span><span>For each bird species, we collected the following life-history data: Species body mass and habitat breadth were extracted from </span><span>Sayol et al., 2020</span><span> while diet breadth, life span (max) were extracted from </span><span>Sayol et al., 2018</span><span> and migratory status (resident or sedentary, partially migratory or migratory) was extracted from </span><span>Tobias and Pigot, 2019</span><span>. The main type of diet for each species was extracted from </span><span>Wilman et al., 2014</span><span>.</span></p> <p><span>We calculated the mean, maximum, minimum and standard deviation of flight initiation distance for each bird species with > 5 observations, to avoid potential overinflated standard deviation estimates from species with only a few observations</span><span>. Then, for each species, we calculated our metric of plasticity based on the coefficient of variation (CV) of FID. </span>Because this is a ratio of the variance to the mean, plasticity is independent of body size.</p>
Data from: Plasticity of snowy plover incubation behaviors in response to risks of nest predation
<p>Nest predation influences population dynamics and is thought to exert strong selection on the evolution of avian life history. Because parental behaviors can attract the attention of nest predators, incubating birds are predicted to decrease conspicuous behaviors at the nest-site and increase incubation constancy when risks of nest predation are high. We examined whether snowy plovers Charadrius nivosus responded to predator-specific risks of nest predation, using the number of off bouts and daily nest attendance (proportion of time spent incubating) as responses. We quantified risks using predator-specific hazard rates of nest mortality, which varied daily and were based on habitat characteristics at each nest. We assessed the influence of predator-specific risks of nest mortality on incubation behaviors using an individual-centering approach, allowing us to explain variation in incubation behaviors within and among breeding pairs. We found increased number of off bouts and nest attendance within breeding pairs in response to increasing risks of nest predation by foxes (Vulpes spp.) and gulls (Larus spp.), but not coyotes (Canis latrans) and common ravens (Corvus corax). Among breeding pairs across habitats, we found increased nest attendance in response to higher risks of nest predation by foxes, but not coyotes, gulls, or ravens. Breeding pairs differed in the amount of behavioral plasticity they exhibited in response to risks of nest predation. Our results suggest that risks of nest predation differentially influence behavioral responses of snowy plovers depending on the predator species, and the amount of behavioral plasticity may depend on characteristics of breeding adults.</p>
What doesn't kill you can make you stronger: variation in plasticity in response to early temporally heterogeneous hydrological experience
<p><span>Temporally heterogeneous environments may drive rapid and continuous plastic responses, leading to highly variable plasticity in traits. However, direct experimental evidence for such meta-plasticity due to environmental heterogeneity is rare.</span></p> <p><span>Our objective was to investigate the effects of early experience with temporally heterogeneous water availability on the subsequent plasticity of plant species in response to water conditions.</span></p> <p><span>We subjected</span><span> eight plant species</span><span> from three habitats</span><span>, four exotic and four native to North America,</span><span> to initial exposure to either a first round of alternating drought and inundation treatment (</span><span>E<sub>het</sub></span><span>, temporally heterogeneous experience) or a consistently moderate water supply (</span><span>E<sub>hom</sub></span><span>, homogeneous experience), and to a second round of drought, moderate watering or inundation treatments. Afterwards the performance in a series of traits of these species, after the first and second rounds of treatments, was measured. </span></p> <p><span>Compared to E<sup>hom</sup>, E<sub>het</sub> increased final mean total mass of all species considered together, but did not affect mean mortality. E<sub>het</sub> relative to E<sub>hom</sub>, decreased the initial total mass of native species as a group, but increased the mass of exotic species or species from hydric habitats; E<sub>het</sub> also increased the late growth of natives, but did not for exotics, and increased the late growth of mesic species more than xeric and hydric species.</span></p> <div> <p><span>Our results suggest that previous</span> <span>exposure to temporal heterogeneity in water supply may be not beneficial immediately, but can be beneficial for plant growth and response to water stress later in a plant's lifetime.</span> <span>Heterogeneous experiences may not necessarily enhance the degree of plasticity, but may improve the expression of plasticity in terms of better performance later,</span><span> effects of which differ for different groups of species, suggesting species-specific strategies for dealing with fluctuating abiotic environments. </span></p> <p><span><em>Synthesis</em>.</span><span> Previous </span><span>temporally heterogeneous experience can benefits plant growth later in life though modulating the expression of plasticity</span><span>, leading to adaptive meta-plasticity</span><span>. </span><span>Studies of meta-plasticity </span><span>may not only improve</span><span> our understanding of the importance of variable plasticity in relation how plants </span><span>cope with environmental challenges, but also </span><span>the costs versus benefits of plastic responses and its limits over the long term.</span></p> </div>
Plastic adjustments of biparental care behaviour across embryonic development under elevated temperature in a marine ectotherm
<p>Phenotypic plasticity in parental care investment allows organisms to promptly respond to rapid environmental changes by potentially benefiting offspring survival and thus parental fitness. To date, a knowledge gap exists on whether plasticity in parental care behaviours can mediate responses to climate change in marine ectotherms. Here, we assessed the plasticity of parental care investment under elevated temperatures in a gonochoric marine annelid with bi-parental care, Ophryotrocha labronica, and investigated its role in maintaining the reproductive success of this species in a warming ocean. We measured the time individuals spent carrying out parental care activities across three phases of embryonic development, as well as the hatching success of the offspring as a proxy for reproductive success, at control (24°C) and elevated (27°C) temperature conditions. Under elevated temperature we observed: (i) a significant decrease in total parental care activity, underpinned by a decreased in male and simultaneous parental care activity, in the late stage of embryonic development; and ii) a reduction of hatching success, that was however not significantly related to changes in parental-care activity levels. These findings, along with the observed unaltered somatic growth of parents and decreased brood size, suggest that potential cost-benefit trade-offs between offspring survival (i.e. immediate fitness) and parents somatic condition (i.e. longer-term fitness potential) may occur under ongoing ocean warming. Finally, our results suggest that plasticity in parental care behaviour is a mechanism able to partially mitigate the negative effects of temperature-dependent impacts.</p>
Selenium nanoparticles improves memory and synaptic plasticity
<p>Dateset</p>
Multi-scale plasticity homogenization of Sn–3Ag-0.5Cu: From β-Sn micropillars to polycrystals with intermetallics
<p>Data bundle for "Multi-scale plasticity homogenization of Sn–3Ag-0.5Cu: From β-Sn micropillars to polycrystals with intermetallics" <a href="https://doi.org/10.1016/j.msea.2022.143876">6</a> <a href="https://doi.org/10.1016/j.msea.2022.143876">https://doi.org/10.1016/j.msea.2022.143876</a> / <a href="https://doi.org/10.48550/arXiv.2208.11453">https://doi.org/10.48550/arXiv.2208.11453</a> </p> <table summary="Additional metadata"> <tbody> <tr> <td> </td> </tr> </tbody> </table> <p> </p> <p> </p>
Dataset: Impact Events for Structural Health Monitoring of a Plastic Thin Plate
<p>This repository contains a novel time-series dataset for impact detection and localization on a plastic thin-plate, towards Structural Health Monitoring applications, using ceramic piezoelectric transducers (PZTs) connected to an Internet of Things (IoT) device. The dataset was collected from an experimental procedure of low-velocity, low-energy impact events that includes at least 3 repetitions for each unique experiment, while the input measurements come from 4 PZT sensors placed at the corners of the plate. For each repetition and sensor, 5000 values are stored with 100 KHz sampling rate. The system is excited with a steel ball, and the height from which it is released varies from 10 cm to 20 cm.</p> <p>To the best of our knowledge, we are the first, to publish a public dataset that contains PZT sensors measurements concerning low-velocity, low-energy impact events in a thin plastic plate. In addition, we also contribute with our methodology on data collection using an SHM IoT system with resource constraints (based on Arduino NANO 33 MCU), as opposed to the majority of the literature that uses Oscilloscopes for data acquisition. This concept of an MCU-based system for data collection in SHM is especially important nowadays, due to the fast rise of extreme-edge and embedded machine learning practices solutions that enable a variety of real-time data-driven SHM applications. Finally, we wish to highlight that by using this specific Microcontroller Unit (MCU) and sensors, the proposed implementation aims for an overall low-cost data collection solution.</p> <p>The dataset has been published as a dataset paper in 20th ACM Conference on Embedded Networked Sensor Systems (SenSys 2022), in the following workshop: The Fifth International Workshop on Data: Acquisition To Analysis (DATA '22).</p> <p>The dataset is also available at https://github.com/Smart-Objects/Impact-Events-Dataset.</p>
Figure 3 from: Peralta-Rincon JR, Escudero G, Edelaar P (2017) Phenotypic plasticity in color without molt in adult grasshoppers of the genus Sphingonotus (Acrididae: Oedipodinae). Journal of Orthoptera Research 26: 21-27. https://doi.org/10.3897/jor.26.14550
Figure 3 - Individual changes in color in the final surviving azure sand grasshoppers when kept on bluish-gray stones (blue lines, N = 2) or reddish-brown soil (red lines, N = 3). The comparison is between the same individuals at the beginning of the experiment and once frozen and cleaned at the end. Color is expressed in the three independent dimensions of the CIE-L*a*b* space (see text).
Figure 2 from: Peralta-Rincon JR, Escudero G, Edelaar P (2017) Phenotypic plasticity in color without molt in adult grasshoppers of the genus Sphingonotus (Acrididae: Oedipodinae). Journal of Orthoptera Research 26: 21-27. https://doi.org/10.3897/jor.26.14550
Figure 2 - Average changes in color over time (days since the start of each treatment) for adult azure sand grasshoppers kept on bluish-gray stones (blue symbols and lines) or reddish-brown soil (red symbols and lines). Color is expressed in the three independent dimensions of the CIE-L*a*b* space (see text). Lines show the predicted values for each CIE-L*a*b dimension according to a fitted model containing Time, Substrate, Sex, Time:Substrate and sqTime; we excluded the subject random effect for better visualization. Continuous lines and circles are for females while dashed lines and triangles are for males. The "Red Earth" treatment had to be restarted using grasshoppers from the same field location but captured later in time. As a result, the timing of data collection is out of phase between treatments, and L is initially slightly lower for "Red Earth" individuals (since the species gets darker with age).
Figure 1 from: Peralta-Rincon JR, Escudero G, Edelaar P (2017) Phenotypic plasticity in color without molt in adult grasshoppers of the genus Sphingonotus (Acrididae: Oedipodinae). Journal of Orthoptera Research 26: 21-27. https://doi.org/10.3897/jor.26.14550
Figure 1 - Example of an image taken for color measurement. The individual was held in place by the transparent plastic lid of the Petri dish to obtain a correct position. Brightness and hue were measured in the red diamond-shaped part of the thorax. The color of a small area of the background paper was also measured (red circle) as a reference gray standard to correct for lighting variation among images.
Figure 4 from: Peralta-Rincon JR, Escudero G, Edelaar P (2017) Phenotypic plasticity in color without molt in adult grasshoppers of the genus Sphingonotus (Acrididae: Oedipodinae). Journal of Orthoptera Research 26: 21-27. https://doi.org/10.3897/jor.26.14550
Figure 4 - Change in color over time for two example individuals. From left to right: at the start of the experiment, 7 weeks later, and after freezing and cleaning at the end of the experiment. Individual a. was kept on blue-gray substrate and individual b. was kept on reddish-brown substrate. For visualization, the bars under the images show the average dorsal color as captured by the CIE-L*a*b* values measured for each individual at each point in time.
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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.