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370 results for “Seasonal variations”
Figure S2 in Assessing structure and seasonal variations of a temperate shallow water fish assemblage through Snorkel Visual Census
Figure S2. – Diel variation in observation frequency of individual species. Gobiusculus flavescens and S. melops were both more frequent at daytime, while A. anguilla, M. scorpius, S. trutta, G. morhua, C. harengus and T.bubalis were, all more frequently encountered at night.
Figure S1 in Assessing structure and seasonal variations of a temperate shallow water fish assemblage through Snorkel Visual Census
Figure S1. – Diel variations in assemblage structure was significant (X2 P <0.05). Demersal fishes are most abundant at day, while benthic fishes are dominant at night. Abundance of pelagic fishes increase at night.
Figure 2. – Monthly average species richness observed during diurnal counts from June 2013 in Assessing structure and seasonal variations of a temperate shallow water fish assemblage through Snorkel Visual Census
Figure 2. – Monthly average species richness observed during diurnal counts from June 2013 to August 2014. Error bars represent ±SD. Number of counts per month are, indicated at column bases.
Figure 3 in Assessing structure and seasonal variations of a temperate shallow water fish assemblage through Snorkel Visual Census
Figure 3. – Correlation between temperature and species richness compared between diurnal and nocturnal counts. Dotted trendlines show the quadratic and linear relationships between species richness and temperature at diurnal and nocturnal counts respectively.
Fig. 1 in Differences in seasonal variation between two biotypes of Megamelus scutellaris (Hemiptera: Delphacidae), a biological control agent for Eichhornia crassipes (Pontederiaceae) in Florida
Fig. 1. Average number of F1 adults, average weight, and average development time (+ SE) across typical seasonal temperatures in Davie, Florida. An asterisk (*) indicates significance at the α = 0.05 level.
Fig. 7 in Life history variations and seasonal polyphenism in Eumaeus atala (Lepidoptera: Lycaenidae)
Fig. 7. Seasonal polyphenism in the dorsal wing color of male Atala, Eumaeus atala. Green (lef photo) is predominantly found in cooler winter and spring southeast Florida temperatures.
Fig. 5 in Life history variations and seasonal polyphenism in Eumaeus atala (Lepidoptera: Lycaenidae)
Fig. 5. Eumaeus atala pupal development time (d) for different seasons is indicated by the different line styles. Two distinct groups of development are present, the warm season (summer to fall) and cool season (winter to spring).
Fig. 6 in Life history variations and seasonal polyphenism in Eumaeus atala (Lepidoptera: Lycaenidae)
Fig. 6. Polyphenism in Atala, Eumaeus atala, pupae. Increased melanization is associated with cooler temperatures. All pupae were 10 d old when the photographs were taken.
Fig. 3 in Life history variations and seasonal polyphenism in Eumaeus atala (Lepidoptera: Lycaenidae)
Fig. 3. Eumaeus atala egg development time (d) for different seasons is indicated by different line styles. A separation in development is starting to show between warm season (summer to fall) and cool season (winter to spring).
Fig. 2 in Life history variations and seasonal polyphenism in Eumaeus atala (Lepidoptera: Lycaenidae)
Fig. 2. Seasonal temperatures as programmed in environmental chambers. A) Temperatures in the chambers were programmed to match Homestead, Miami temperatures as closely as possible (see discussion) and B) degree-day units were analyzed using a Baskerville–Emin adjustment (see discussion). Bars indicate standard error.
Fig. 1. Percival environmental chambers housing Eumaeus atala. A in Life history variations and seasonal polyphenism in Eumaeus atala (Lepidoptera: Lycaenidae)
Fig. 1. Percival environmental chambers housing Eumaeus atala. A) Interior view of fabric housing cages in the Percival chambers and B) plastic 'deli-box' larval cages inside with host plant material and young Eumaeus atala larvae.
Fig. 3 in Seasonal variation in the abundance and distribution of ticks that parasitize Microcebus griseorufus at the BezàMahafaly Special Reserve, Madagascar
Fig. 3. Possible life cycle of H. lemuris. Peak activity for larvae occurs in May, but larvae may be found feeding into June and October. Larvae attach to Microcebus hosts and after a blood meal, fall off and molt into nymphs. Nymphs are active and feed on Microcebus throughout the dry season and likely feed on other lemurs during part of the wet season. Adult-stage ticks remain active during the wet season, feeding on larger-bodied lemurs, such as L. catta, and P. verreauxi. Engorged females fall off and lay eggs in leaf litter. It is possible that all four stages can diapause if no suitable hosts or conditions are found (gray dotted line). Mice or rats may also serve as hosts to larvae during the dry season.
Fig. 1. Monthly averages for A in Seasonal variation in the abundance and distribution of ticks that parasitize Microcebus griseorufus at the BezàMahafaly Special Reserve, Madagascar
Fig. 1. Monthly averages for A) tick intensity on mouse lemurs as it compares to B) rainfall and C) temperature, during the year-long study season. Shaded area indicates months included in the dry season. Environmental data were collected daily.
Fig. 2 in Seasonal variation in the abundance and distribution of ticks that parasitize Microcebus griseorufus at the BezàMahafaly Special Reserve, Madagascar
Fig. 2. Differences in infestation rates at Parcel 1 by A) sex B) substrate C) males and substrate and D) females and substrate. * indicates P <0.05, **P <0.01; ***P <0.001 and compares variables on the x-axis.
Fig. 4 in Molecular profiling of 18S rRNA reveals seasonal variation and diversity of diatoms community in the Han River, South Korea
Fig. 4. Principal component analysis (PCA) biplot showing the seasonal variation of (A) all the diatom OTU reads, (B) most frequent diatom OTU detected, sampled in March (spring), June (summer), September (autumn), and December (winter). Calculated based on the number of OTU reads in each sample. Each dot represents diatom OTU recovered in this study.
Fig. 2 in Molecular profiling of 18S rRNA reveals seasonal variation and diversity of diatoms community in the Han River, South Korea
Fig. 2. Rarefaction curves representing the numbers of Operational Taxonomic Units (OTUs) of diatoms vs. the number of tags sampled from pyrosequencing data.
Fig. 1 in Molecular profiling of 18S rRNA reveals seasonal variation and diversity of diatoms community in the Han River, South Korea
Fig. 1. Seasonal variation in water temperature and DO (A), pH and conductivity (B) and TN and TP (C), and cell counts and Chla (D) at the Seongsan Bridge of Han River, Korea.
Fig. 3 in Molecular profiling of 18S rRNA reveals seasonal variation and diversity of diatoms community in the Han River, South Korea
Fig. 3. (A) Proportion of each eukaryotic taxon (eukaryote, phytoplankton, and diatom), (B) relative abundance of phytoplankton, and (C) relative abundance of diatom taxa. These data were calculated by using 18S rRNA pyrosequencing reads. Taxonomic identity of "others" represents taxa with less than 1% composition of total reads.
Figure 3 in Seasonal variations in immunoreactive cortisol and fecal immunoglobulin levels in Sichuan golden monkey (Rhinopithecus roxellana)
Figure 3. The immunoreactive cortisol concentrations of Sichuan golden monkeys within seasons (ng/g). Sp: Spring; Su: summer; Au: autumn; Wi: winter. FM refers to the mean of nonpregnant females (F1 and F2); MM refers to the mean of males (M1, M2, and M3). *,#, §,﹠: P <0.05, bar with * was significantly higher than bar with #, and bar with § was significantly higher than bar with ﹠.
Figure 5 in Seasonal variations in immunoreactive cortisol and fecal immunoglobulin levels in Sichuan golden monkey (Rhinopithecus roxellana)
Figure 5. The fecal immunoglobulin levels of Sichuan golden monkeys over the year (ng/g). FM refers to mean of nonpregnant females (F1 and F2); MM refers to mean of males (M1, M2, and M3).
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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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.