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opencc-zeroJun 2024View details →

Dataset: Nuveen Nasdaq 100 Dynamic Overwrite Fund (QQQX) Stock Performance

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

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The diet–intestinal microbiota dynamics and adaptation in an elevational migration bird, the Himalayan bluetail (Tarsiger rufilatus)

Migratory birds experience changes in their environment and diet during seasonal migrations, thus requiring interactions between diet and gut microbes. Understanding the co-evolution of the host and gut microbiota is critical for elucidating the rapid adaptations of avian gut microbiota. However, dynamics of gut microbial adaptations concerning elevational migratory behavior, which is prevalent but understudied in montane birds remain poorly understood. We focused on the Himalayan bluetail (Tarsiger rufilatus) in the montane forests of Mt. Gongga to understand the diet-gut microbial adaptations of elevational migratory birds. Our findings indicate that elevational migratory movements can rapidly alter gut microbial composition and function within a month. There was a significant interaction between an animal-based diet and gut microbiota across migration stages, underscoring the importance of diet in shaping microbial communities. Furthermore, the gut microbial composition of T. rufilatus may be potentially altered by high-altitude acclimatization. An increase in fatty acid and amino acid metabolism was observed in response to low temperatures and limited resources, resulting in enhanced energy extraction and nutrient utilization. Moreover, microbial communities in distinct gut segments varied in relative abundance and responses to environmental changes. While the bird jejunum exhibited greater susceptibility to food and environmental fluctuations, there was no significant difference in metabolic capacity among gut segments. This study provides initial evidence of rapid diet-gut microbial changes in distinct gut segments of elevational migratory birds and highlights the importance of seasonal sample collection. Our findings provide a deeper understanding of the unique high-altitude adaptation patterns of the gut microbiota for montane elevational migratory birds.

opencc-zeroJun 2024View details →

Fig. 3 in Body Measurements And Harversting Dynamics Of The Fat Dormouse (Glis Glis L.) In The Mountainous Part Of Croatia

Fig. 3. Correlation between the body mass of caught fat dormice (Glis glis L.) and the days of hunting for the locality of Vrbovsko during the autumn of 1994

Fig. 6 in Body Measurements And Harversting Dynamics Of The Fat Dormouse (Glis Glis L.) In The Mountainous Part Of Croatia

Fig. 6. Correlation between the number of caught fat dormice (Glis glis L.) and the days in the hunting season for the locality of Gerovo during the autumn of 1999

Fig. 5 in Body Measurements And Harversting Dynamics Of The Fat Dormouse (Glis Glis L.) In The Mountainous Part Of Croatia

Fig. 5. Correlation between the number of caught fat dormice (Glis glis L.) and the days in the hunting season for the locality of Vrbovsko during the autumn of 1994

Fig. 4 in Body Measurements And Harversting Dynamics Of The Fat Dormouse (Glis Glis L.) In The Mountainous Part Of Croatia

Fig. 4. Correlation between the body mass of caught fat dormice (Glis glis L.) and the days of hunting for the locality of Gerovo during the autumn of 1999

Fig. 1 in Body Measurements And Harversting Dynamics Of The Fat Dormouse (Glis Glis L.) In The Mountainous Part Of Croatia

Fig. 1. The area of protection, permitted hunting and research of the fat dormouse (Glis glis L.) in Croatia

Fig. 2 in Body Measurements And Harversting Dynamics Of The Fat Dormouse (Glis Glis L.) In The Mountainous Part Of Croatia

Fig. 2. Trends in harvesting the fat dormouse (Glis glis L.) in the municipalities of Gerovo (1), Tršće (2) and Prezid (3) between 1991 and 2001

opencc-by-4.0Jun 2024View details →

Supplementary Simulation Data for "A contact-based analysis of local energetic frustration dynamics identifies key residues enabling RfaH fold-switch"

Additional simulation data for "A contact-based analysis of local energetic frustration dynamics identifies key residues enabling RfaH fold-switch" Content: 'clusters_foldswitch': Contains representative structures in PDB format of the refolding landscape of RfaH using all-atom structure-based models. The QA and QB values indicated in each filename correspond to the fraction of native contacts contain in the representative structure in comparison to the total number of contacts in the structure of the autoinhibited ⍺-folded (A) and active β-folded (B) states of the C-terminal domain of RfaH. 'input_one_fs': Contains a trajectory of RfaH refolding from the ⍺-folded to the β-folded state, with each frame contained into a separate PDB file, totalling 400 PDB files. These files can be used with the frustration-based windowing method  scripts and Colab notebook made available at https://github.com/pb3lab/RfaH-frustration 'input_many_fs': Contains several trajectory of RfaH reversible refolding between the ⍺-folded and β-folded states, with each frame contained into a separate PDB file, totalling 11,999 PDB files. These files can be used with the frustration-based windowing method  scripts and Colab notebook made available at https://github.com/pb3lab/RfaH-frustration 'output_one_fs': Contains output results from the analysis of local energetic frustration dynamics of the 400 frames contained in 'input_one_fs' using the windowing method available in the Colab notebook at https://github.com/pb3lab/RfaH-frustration. 'output_many_fs': Contains output results from the analysis of local energetic frustration dynamics of the 11,999 frames contained in 'input_many_fs' using the windowing method available in the Python script at https://github.com/pb3lab/RfaH-frustration.

opencc-by-4.0Dec 2018View details →

Figure 4 in Population Dynamics of Amoeboid Protists in a Tropical Desert: Seasonal Changes and Effects of Vegetation and Soil Conditions

Figure 4. Relationship between amoeboid protist richness and soil parameters during the wet season in three microhabitats by CCA: PL: Pr. laevigata, PP: Pa. praecox, and BS: bare soil. The names and abbreviations of the amoeboid protist species can be found in table 3.

opencc-by-4.0Dec 2018View details →

Figure 2 in Population Dynamics of Amoeboid Protists in a Tropical Desert: Seasonal Changes and Effects of Vegetation and Soil Conditions

Figure 2. Cumulative richness plots of amoeboid protists present under Pr. laevigata (PL), Pa. praecox (PP) and bare soil (BS) during dry and wet seasons at 0–30 cm. a) eruptive pseudopods, and b) acanthopodial pseudopods. ND: not determined.

opencc-by-4.0Dec 2018View details →

Figure 1 in Population Dynamics of Amoeboid Protists in a Tropical Desert: Seasonal Changes and Effects of Vegetation and Soil Conditions

Figure 1. Study area, showing vegetation patches in the desert of Tehuacán, Puebla, Mexico. In addition, the analyzed microhabitats are shown: Pr. laevigata, Pa. praecox and bare soil.

Fig. 1 in Dynamics of ovarian maturation during the reproductive cycle of Metynnis maculatus, a reservoir invasive fish species (Teleostei: Characiformes)

Fig. 1. Mean (± S.E.M) bimonthly variations of the gonadosomatic index in Metynnis maculatus females (n = 36). The different letters indicate significant differences among months. (ANOVA, Tukey test, P <0.05).

Fig. 5 in Dynamics of ovarian maturation during the reproductive cycle of Metynnis maculatus, a reservoir invasive fish species (Teleostei: Characiformes)

Fig. 5. (a) Pearson correlation between the volume density of final vitellogenic oocytes and the gonadosomatic index (GSI) (%) during the reproductive cycle of Metynnis maculatus females (n = 36). (b) Pearson correlation between the volume density of post-ovulatory follicles and the GSI (%) (n = 36). (c) Pearson correlation between the E 2 plasma levels and the GSI (%) (n = 20). (d) Pearson correlation between the 17α-OHP plasma levels and the GSI (%) (n = 20). (e) Pearson correlation between the E 2 plasma levels and the volume density of final vitellogenic oocytes (n = 20). (f) Pearson correlation between the 17α-OHP plasma levels and the volume density of the post-ovulatory follicles (n = 20). The continuous line indicates that the difference is statistically significant (Pearson's test, P <0.05).

Fig. 4 in Dynamics of ovarian maturation during the reproductive cycle of Metynnis maculatus, a reservoir invasive fish species (Teleostei: Characiformes)

Fig. 4. (a) Mean (± S.E.M) bimonthly plasma concentrations of E 2 in Metynnis maculatus females (n = 20). Different letters indicate significant differences among months (ANOVA, Tukey test, P <0.05). (b) Mean (± S.E.M) bimonthly plasma 17α – OHP concentrations (n = 20). Different letters indicate significant differences among months. (ANOVA, Tukey test, P <0.05).

Fig. 3 in Dynamics of ovarian maturation during the reproductive cycle of Metynnis maculatus, a reservoir invasive fish species (Teleostei: Characiformes)

Fig. 3. Mean percentages (± S.E.M) of different oocyte types from Metynnis maculatus females during the ovarian maturation cycle. Different letters indicate significant differences among the same type of oocytes among months (ANOVA, Tukey test, P <0.05).

Fig. 2 in Dynamics of ovarian maturation during the reproductive cycle of Metynnis maculatus, a reservoir invasive fish species (Teleostei: Characiformes)

Fig. 2. Photomicrographs of different oocyte types observed during the Metynnis maculatus reproductive cycle. (a) Previtellogenic oocytes showing multiple nucleolus (arrow), (b) Cortical alveoli oocyte; (c) Early vitellogenic oocyte with cytoplasm filled mostly with cortical alveoli (asterisk); (d) Final vitellogenic oocyte with cytoplasm completely filled with protein yolk granules (asterisk); (e) Post ovulatory follicles with numerous border folding (arrow), (f) Atretic oocytes with fragmented vitelline membrane (arrow) and a change in the appearance of the cytoplasm (asterisk). Hematoxylin-floxin. Scale bar = 100 µM..

opencc-by-4.0Dec 2021View details →

Fig. 2 in Multi-Year Dynamics Of Faunistic Complexes Of Amphibian And Reptile In Natural And Transformed Ecosystems In Belarus

Fig. 2. Changes in the species composition and number of faunistic complexes of amphibians and reptiles in the long-term monitoring points on the site of a low-land bog transformed into farmland (drainage reclamation work was implemented in 2000) Notes: R.a. – Rana arvalis, R.t. – Rana temporaria, B.b. – Bufo bufo, P.e.c. – Pelophelaх esculentus complex, B.v. – Bufotes viridis, P.f. – Pelobates fuscus, L.v. – Lissotriton vulgaris, Z.v. – Zootoca vivipara, N.n. – Natrix natrix, V.b. – Vipera berus, L.a. – Lacerta agilis

opencc-by-4.0Dec 2021View details →

Fig. 1 in Multi-Year Dynamics Of Faunistic Complexes Of Amphibian And Reptile In Natural And Transformed Ecosystems In Belarus

Fig. 1. Options of long-term dynamics of herpetocomplex species diversity in regular monitoring sites in Belarus Notes: a-upland bog, natural reserve (stable state), b-floodplain meadow, poorly transformed territory (fluctuating dynamics), c-mixed coniferous-small-leaved forest, transformed landscape (unstable state)