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156 results for “Temperature Influence”
Temperature during seed maturation influences timing of bud burst in seedlings and saplings of Prunus padus.
<p>We tested whether temperature during seed maturation in a broadleaved woody perennial may influence the phenological performance of seedlings through an epigenetic memory. We performed two controlled crosses of <em>Prunus padus</em> in two subsequent years (2015 and 2016). Clonal mother shrubs were subjected to a cold and a warm condition during seed maturation. In the first year after germination the seedlings from the warm seed maturation condition burst their buds earlier compared to the cold condition seedlings, whereas in the second and third year, these seedlings burst their buds later. A temporary maternal effect may have advanced bud burst for the warm condition seedlings in the first year, whereas a delay of bud burst in the following years suggest a transgenerational epigentic memory, putatively expressing a stress reaction upon the suboptimal elevated temperature during seed maturation. In the spring of 2020, seedlings were divided in a cold and a warm treatment. The warm spring treatment enlarged the difference in timing of bud burst between the cold and warm seed maturation conditions in both crosses, suggesting that the epigenetic memory is more strongly expressed in a warmer spring environment. The timing of the autumnal leaf senescence in the seedlings was not influenced by the temperature during seed maturation in all observation years, suggesting that autumnal senescence is less (epi)genetically determined in comparison to bud burst, and more sensitive to ambient temperatures. </p>
Evaluation of the influence of rain on air surface temperature measurements
<h2>Description</h2> <p>The dataset is constituted by three .csv files, which contain the measurements performed in an experiment aiming to evaluate the influence of rain on temperature readings. Two devices under tests (DUTs), one naturally ventilated and one artificially ventilated, are compared with a reference system. A .csv file is produced for DUT1, DUT2 and the reference system. Here below the content of each file is briefly described:</p> <ul> <li>Dataset_reference: accurate air temperature measurements obtained using the reference system, which is not affected by rain. The system is constituted by four aspirated thermometers (called Meteo1, Meteo2, Meteo 3, Meteo 4) manufactured at the Danish Technology Institute. The column "PT500" contains instead the rain temperature measurements. The readings are produced using a Fluke Super-DAQ (1586A). </li> <li>Dataset_DUT1: measurements of the naturally ventilated thermometer under an artificially generated rainfall. The readings are produced using the manufacturer datalogger.</li> <li>Dataset_DUT2: measurements of the artificially ventilated thermometer under an artificially generated rainfall. The readings are produced using the manufacturer datalogger.</li> </ul>
Influence of temperature on the molecular composition of ions and charged clusters during pure biogenic nucleation
<p>Data of Figures in manuscript:</p> <p>Influence of temperature on the molecular composition of ions and charged clusters during pure biogenic nucleation.</p> <p>Frege et al., Atmos. Chem. Phys. 18, 65–79, 2018</p> <p>https://doi.org/10.5194/acp-18-65-2018</p> <p> </p>
Figure 2 in The influence of temperature on the hibernation patterns and activity of Vertigo moulinsiana (Dupuy, 1849) (Gastropoda: Pulmonata: Vertiginidae)
Figure 2. (A) The site of V. moulinsiana; (B) awoken individuals of V. moulinsiana in test tubes.
Figure 1 in The influence of temperature on the hibernation patterns and activity of Vertigo moulinsiana (Dupuy, 1849) (Gastropoda: Pulmonata: Vertiginidae)
Figure 1. Shell of V. moulinsiana collected at the studied site.
Influence of temperature and salinity on the cellular stress response and energy reserves of Hediste diversicolor.
<p>Raw data on survival rates, wet weight, cellular stress response, oxidative stress and energy reserves of the ragworm Hediste diversicolor collected at Ria de Aveiro (Portugal) and subjected to a combination of different temperatures (24, 27 and 30 ºC) and salinities (20 and 30) over time (14 and 28 days). The biomarkers analysed include: heat shock protein 70 kDa, total ubiquitin, catalase, superoxide dismutase, glutathione-S-transferase, total antioxidant capacity, lipid peroxidation, glucose, glycogen, total protein and total lipids.</p>
Data for "Clouds increasingly influence Arctic sea surface temperatures as CO2 rises" part 1
<p>Data for "Clouds increasingly influence Arctic sea surface temperatures as CO2 rises" submitted to Geophysical Research Letters.</p> <p>Data are included from three fully-coupled CESM2 simulations with variable CO2 concentrations: pre-industrial climate ('control'), 424 ppm CO2 ('yr40'), and 1139 ppm CO2 ('yr140'). Data in all files are restricted to 40-90<sup>o</sup>N. Variables include surface temperature (TS), sea ice concentration (ICEFRAC), CALIPSO total cloud fraction (CLDTOT_CAL), total grid cell cloud liquid water path (TGCLDLWP), sea surface temperature (SST), surface downwelling shortwave radiation (FSDS), surface downwelling longwave radiation (FLDS), surface net shortwave radiation (FSNS), clear-sky surface net shortwave radiation (FSNSC), and clear-sky surface downwelling longwave radiation (FLDSC).</p>
The Influence of Land Surface Temperature on Mental Health in Lausanne - Data
<p>Dataset contains LST data for Lausanne used for the report.</p> <p>GeoPackage is in ESPG:21781 and provides coordinated in ESPG:4326 as well.</p> <p>Data contains mean and median LST for Summer (June - August) 1998, 2008 and 2018 and the delta. The delta is calculated by subtractig the data from 2018 (for example deltalstmedian0818 = lst_2018 - lst_2008).</p> <p>Find the code here: https://github.com/aamir-s18/InfluenceLSTGAF</p>
DATASET: Temperature Differentially Influences the Capacity of Trichoderma Species to Induce Plant Defense Responses in Tomato Against Insect Pests
<p>Species of the ecological opportunistic, avirulent fungus, <em>Trichoderma</em> are widely used in agriculture for their ability to protect crops from the attack of pathogenic fungi and for plant growth promotion activity. Recently, it has been shown that they may also have complementary properties that enhance plant defense barriers against insects. However, the use of these fungi is somewhat undermined by their variable level of biocontrol activity, which is influenced by environmental conditions. Understanding the source of this variability is essential for its profitable and wide use in plant protection. Here, we focus on the impact of temperature on <em>Trichoderma afroharzianum</em> T22, <em>Trichoderma atroviride</em> P1, and the defense response induced in tomato by insects. The <em>in vitro</em> development of these two strains was differentially influenced by temperature, and the observed pattern was consistent with temperature-dependent levels of resistance induced by them in tomato plants against the aphid, <em>Macrosiphum euphorbiae</em>, and the noctuid moth, <em>Spodoptera littoralis</em>. Tomato plants treated with <em>T. afroharzianum</em> T22 exhibited enhanced resistance toward both insect pests at 25°C, while <em>T. atroviride</em> P1 proved to be more effective at 20°C. The comparison of plant transcriptomic profiles generated by the two <em>Trichoderma</em> species allowed the identification of specific defense genes involved in the observed response, and a selected group was used to assess, by real-time quantitative reverse transcription PCR (qRT-PCR), the differential gene expression in <em>Trichoderma</em>-treated tomato plants subjected to the two temperature regimens that significantly affected fungal biological performance. These results will help pave the way toward a rational selection of the most suitable <em>Trichoderma</em> isolates for field applications, in order to best face the challenges imposed by local environmental conditions and by extreme climatic shifts due to global warming.</p>
Data set for the publication " Evaluation of the Accuracy and Frequency Response of Medium-Voltage Instrument Transformers under the Combined Influence Factors of Temperature and Vibration"
<p>This is dataset for paper published:</p> <p>Agazar, M.; Istrate, D.; Pradayrol, P. Evaluation of the Accuracy and Frequency Response of Medium-Voltage Instrument Transformers under the Combined Influence Factors of Temperature and Vibration. <em>Energies</em> <strong>2023</strong>, <em>16</em>, 5012. https://doi.org/10.3390/en16135012</p>
Environmental cues in coral reproduction: Photoperiod and seawater temperature influence oocyte development in <em>Acropora tenuis</em>
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High temperatures and human pressures interact to influence mortality in an African carnivore
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Data from: incubation as a driver of maternal effects: temperature influences levels of yolk maternally derived 5α-dihydrotestosterone
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Meta-analysis about the temperature influence on nitrogen excretion rates of freshwater fish
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Data from: External temperature and distance from nearest entrance influence microclimates of cave and culvert roosting tri-colored bats Perimyotis subflavus
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Data from diet C:N ratio and temperature influence the performance and coloration of tobacco hornworms
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Influences of temperature and time on habitat use patterns of a semi-aquatic turtle
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Territory-level temperature influences breeding phenology and reproductive output in three forest passerine birds
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Butterfly community composition within a tropical urban landscape is influenced by habitat type and temperature
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Data from: Body size shifts influence effects of increasing temperatures on ectotherm metabolism
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