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Figure 1 in Effect of initial infestation on population fluctuation and spatial distribution of Panonychus citri (Acari: Tetranychidae) on Thomson navel orange in Ghaemshahr, Iran
Figure 1. Population fluctuation of Panonychus citri on Thomson navel orange in a multi-treatment experiment in in 2016. Control treatment = average number of 0.48 mite per leaf; Treatment 1 = average number of 1.12 mites per leaf, Treatment 2 = average number of 1.23 mites per leaf, Treatment 3 = average number of 6.36 mites per leaf, Treatment
Figure 4 in Effect of initial infestation on population fluctuation and spatial distribution of Panonychus citri (Acari: Tetranychidae) on Thomson navel orange in Ghaemshahr, Iran
Figure 4. Population fluctuation of Panonychus citri on Thomson navel orange in a paired-treatment experiment in 2017. Infested treatment = average number of 0.79 mite per leaf, Control treatment = average number of 0.59 mite per leaf.
Figure 2 in Effect of initial infestation on population fluctuation and spatial distribution of Panonychus citri (Acari: Tetranychidae) on Thomson navel orange in Ghaemshahr, Iran
Figure 2. Population fluctuation of Panonychus citri on Thomson navel orange in a multi-treatment experiment in in 2016. Control treatment = average number of 0.2 mite per leaf, Treatment 1 = average number of 0.3 mite per leaf, Treatment
Data and code for Coherent Correlation Imaging: Resolving fluctuating states of matter
<p>Data and code to generate the figures in the main text and the Extended data figures.</p>
Fig. 9 in Population fluctuations of thrips (Thysanoptera) and their relationship to the phenology of vegetable crops in the central region of Mexico
Fig. 9. Population fluctuation of Thrips tabaci in the onion crops at Axochiapan, Morelos, Mexico, 2010–2011. Sufficient thermal units (180 degree days) occurred to support 1 life cycle of T. tabaci from transplantation until the 1st vertical arrow and subsequently between consecutive arrows.
Fig. 6 in Population fluctuations of thrips (Thysanoptera) and their relationship to the phenology of vegetable crops in the central region of Mexico
Fig. 6. Population fluctuation of Frankliniella occidentalis related with tomato crops at Tlayacapan and Atlatlahucan, Morelos, Mexico, 2010–2011. Sufficient thermal units (195 degree days) occurred to support 1 life cycle of F. occidentalis from transplantation until the 1st vertical arrow and subsequently between consecutive arrows.
Fig. 2 in Population fluctuations of thrips (Thysanoptera) and their relationship to the phenology of vegetable crops in the central region of Mexico
Fig. 2. Population fluctuation of Frankliniella occidentalis in the cucumber crops at Tlayacapan, Morelos, Mexico, 2010–2011. Sufficient thermal units (195 degree days) occurred to support 1 life cycle of F. occidentalis from transplantation until the 1st vertical arrow and subsequently between consecutive arrows.
Fig. 7 in Population fluctuations of thrips (Thysanoptera) and their relationship to the phenology of vegetable crops in the central region of Mexico
Fig. 7. Population fluctuation of Frankliniella occidentalis in the tomatillo crops at Tlayacapan, Morelos, and Tepeojuma, Puebla, Mexico, 2010–2011. Sufficient thermal units (195 degree days) occurred to support 1 life cycle of F. occidentalis from transplantation until the 1st vertical arrow and subsequently between consecutive arrows.
Fig. 4 in Population fluctuations of thrips (Thysanoptera) and their relationship to the phenology of vegetable crops in the central region of Mexico
Fig. 4. Population fluctuation of Frankliniella occidentalis in the zucchini crops at Tlayacapan, Tepalcingo and Atlatlahucan, Morelos, Mexico, 2010–2011. Sufficient thermal units (195 degree days) occurred to support 1 life cycle of F. occidentalis from transplantation until the 1st red vertical arrow and between consecutive red arrows.
Fig. 5 in Effects of large temperature fluctuations on hatching and subsequent development of the diamondback moth (Lepidoptera: Plutellidae)
Fig. 5. Pupa and adult traits (mean ± SE) afer different treatments. (A) Development time of pupae, (B) emergence rate, (C) adult longevity and (D) fecundity in the diamondback moth following emergence from eggs exposed to different fluctuating temperature ranges (25 ± 0, 25 ± 2, 25 ± 4, 25 ± 6, 25 ± 8 and 25 ± 10 °C). Different letters at the tops of columns indicate significant differences at P = 0.05.
Fig. 3 in Effects of large temperature fluctuations on hatching and subsequent development of the diamondback moth (Lepidoptera: Plutellidae)
Fig. 3. Egg traits (mean ± SE) afer different treatments. (A) Development time of eggs and (B) hatching rate of diamondback moth under 6 different temperature regimens with the same mean temperature but different ranges of temperature fluctuations (25 ± 0, 25 ± 2, 25 ± 4, 25 ± 6, 25 ± 8 and 25 ± 10 °C). Different letters at the tops of the columns indicate significant differences at P = 0.05.
Fig. 2 in Effects of large temperature fluctuations on hatching and subsequent development of the diamondback moth (Lepidoptera: Plutellidae)
Fig. 2. Target temperatures in experiments. Target temperatures with different ranges of temperature fluctuations around 25 °C in climate chambers for 3 consecutive days.
Fig. 5 in Population fluctuations of thrips (Thysanoptera) and their relationship to the phenology of vegetable crops in the central region of Mexico
Fig. 5. Population fluctuation of Frankliniella occidentalis in the pepper crops at Izucar de Matamoros and Tepeojuma, Puebla, and Tlayacapan, Morelos, Mexico, 2010–2011. Sufficient thermal units (195 degree days) occurred to support 1 life cycle of F. occidentalis from transplantation until the 1st vertical arrow and subsequently between consecutive arrows.
Fig. 4 in Effects of large temperature fluctuations on hatching and subsequent development of the diamondback moth (Lepidoptera: Plutellidae)
Fig. 4. Traits of larvae (mean ±SE) hatched from eggs exposed to treatments involving the same mean temperature but various ranges of temperature fluctuations. (A) Development times of larvae, (B) pupation rates, (C) pre-pupal masses and (D) growth rates of larvae following emergence from eggs exposed to different fluctuating temperature ranges (25 ± 0, 25 ± 2, 25 ± 4, 25 ± 6, 25 ± 8 and 25 ± 10 °C). Different letters at the tops of columns indicate significant differences at P = 0.05.
Fig. 1 in Population fluctuations of thrips (Thysanoptera) and their relationship to the phenology of vegetable crops in the central region of Mexico
Fig. 1. Population fluctuation of Frankliniella occidentalis in the cucumber crops at Atlatlahucan and Tepalcingo, Morelos, Mexico, 2010–2011. Sufficient thermal units (195 degree days) occurred to support 1 life cycle of F. occidentalis from transplantation until the 1st vertical arrow and subsequently between consecutive arrows.
Fig. 10 in Population fluctuations of thrips (Thysanoptera) and their relationship to the phenology of vegetable crops in the central region of Mexico
Fig. 10. Population fluctuation of Thrips tabaci in the onion crops at Tilapa and Tepeojuma, Puebla, Mexico, 2010–2011. Sufficient thermal units (180 degree days) occurred to support 1 life cycle of T. tabaci from transplantation until the 1st vertical arrow and subsequently between consecutive arrows.
Fig. 1 in Effects of large temperature fluctuations on hatching and subsequent development of the diamondback moth (Lepidoptera: Plutellidae)
Fig. 1. Diurnal air temperature fluctuations in a cabbage field in the summer in Beijing. Temperature was recorded with a data logger placed close to the underside of leaves and placed 30–35 cm above the ground in the middle of a 2 ha cabbage field.
Fig. 2 in Impact of fluctuating and constant temperatures on key life history parameters of Sipha flava (Hemiptera: Aphididae)
Fig. 2. Effects of either fluctuating or constant temperatures on the longevity (days) and the reproductive capacity (offspring per female) of Sipha flava, i.e., Panel A, effect on the longevity of Sipha flava subjected to Trt. #1 (uncontrolled greenhouse with a fluctuating temperature regime) and Trt #2 (simulated mean hourly temperatures of the greenhouse with a fluctuating temperature regime); Panel B, effect on fecundity of Sipha flava subjected to the same treatments as in Panel A; Panel C, effect on the longevity of Sipha flava subjected to Trt #2 (simulated mean hourly temperatures of the greenhouse with a fluctuating temperature regime), Trt #4 (a constant mean temperature of 22.5 °C), Trt #3 (simulated mean temperatures of 27 °C during photophase and 18 °C during scotophase); Panel D, effect on fecundity of Sipha flava subjected to the same treatments as in Panel C. Mean longevity and fecundity values followed by different lowercase letters are significantly different based on ANOVA followed by the Tukey test.
Fig. 1 in Impact of fluctuating and constant temperatures on key life history parameters of Sipha flava (Hemiptera: Aphididae)
Fig. 1. Simulated hourly mean temperatures in the uncontrolled greenhouse every day during the 53 d period when the effects of various temperatures on the longevity and reproductive capacity of Sipha flava were determined.
BRAIN Journal-Isomorphism Between Estes' Stimulus Fluctuation Model and a Physical- Chemical System-Figure 1. Two compartments containing solution separated by a membrane.
<p>In fact, this equation will be found first if one consults physical or chemical textbooks for<br> diffusion. Also one may be able to find already-existing diffusion simulators to see vivid images of<br> the process.</p>
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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.