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Figure 2 in Influence of Climatic Factors on the Interannual Changes of Gonadosomatic Index of the Red Mullet Mullus barbatus ponticus in the Coastal Crimean Waters
Figure 2. The average annual GSI values (1) of females and males of red mullet, the average monthly temperature of water (2) during the spawning period, and their standard deviations.
Fig. 2 in Influence of biotic and abiotic factors on flea species population dynamics on Lasiopodomys brandtii
Fig. 2. Community structure of Lasiopodomys brandtii fleas by seasons. Three flea species were collected throughout the study meanwhile, Rhadinopsylla rothschildi was only detected in autumn. The top of each column indicates the number of samples for each season.
Figure 2 in Fly parasitism in Papuan frogs, with a discussion of ecological factors influencing evolution of life-history differences
Figure 2. Regressions of weight versus snout–vent length (SV) for male Rana supragrisea. Larger frogs infested with fly larvae (closed squares, dashed line) exhibit lower weights compared to uninfested frogs (open circles, solid line), but this difference in regressions is determined solely by the largest infested specimen.
Figure 3 in Factors influencing spatial and temporal structure of frog assemblages at ponds in southeastern Brazil
Figure 3. Distribution of nine tadpole species within ponds at Santuário do Caraça, southeastern Brazil, according to variables used to describe microhabitats used by them and period of occurrence, in the first three axes of discriminant space. In the first discriminant axis, smaller values represent larger association to the bottom. In the second axis, the largest values indicate use of deeper microhabitats by tadpoles. In the third axis, larger values indicate species that used both microhabitats with and without aquatic vegetation, and lower values indicate species that used only microhabitats with aquatic vegetation. Centroids for each species are shown on the right.
Figure 1 in Factors influencing spatial and temporal structure of frog assemblages at ponds in southeastern Brazil
Figure 1. Mean monthly temperatures and monthly rainfall at the study site between September 2003 and December 2004.
Figure 2 in Factors influencing spatial and temporal structure of frog assemblages at ponds in southeastern Brazil
Figure 2. Distribution of adult individuals of 22 anuran species at Santuário do Caraça, southeastern Brazil, according to variables used to describe microhabitat use and activity periods, in the first three axes of the discriminant function. Centroids for each species are shown on the right.
Fig. 2 in Ecological factors that influence sambar (Rusa unicolor) distribution and abundance in western Thailand: implications for tiger conservation
Fig. 2 The distribution of elevations at which transects were placed (a). The distribution of distances from the Huai Kha Khaeng River (HKK) at which transects were placed (b). The combinations of elevation and distance to HKK River at which pellet groups were found (each dot represents a single transect) (c). The number of pellet groups found in relation to distance from the HKK River at three elevations (where dots represents transects) (d). Dots represent transects and lines represent the predicted number of pellet groups using our top-supported model (Table 2, model 1) solved at mean covariate values and one of three elevations to illustrate the interaction of elevation with distance to the HKK River.
Fig.1 in Ecological factors that influence sambar (Rusa unicolor) distribution and abundance in western Thailand: implications for tiger conservation
Fig.1 Location of Huai Khaeng Wildlife Sanctuary in western Thailand and the 360 sampling units contained within the four areas represent six female tiger home ranges.
Fig. 3 in Factors influencing Serrapinnus notomelas (Characiformes: Characidae) populations in upper Paraná river floodplain lagoons
Fig. 3. Scatterplot of the abundance of Serrapinnus notomelas and the scores of axis 1 of the principal components analysis (PCA) that summarized physical variables. Variables that more contributed to formation of the axis (arrows) are also given. TSS = Total suspended solids.
Fig. 1 in Factors influencing Serrapinnus notomelas (Characiformes: Characidae) populations in upper Paraná river floodplain lagoons
Fig. 1. Map of the upper Paraná River floodplain showing the locations of the sampling stations (lagoons).
Wintertime new particle formation in the rural area of North China Plain: influencing factors and possible formation mechanism
<p><strong>data for <em>Wintertime new particle formation in the rural area of North China Plain: influencing factors and possible formation mechanism</em></strong></p>
Preparedness for Contingencies: A Systematic Review of the Factors that Influence the Crisis Resilience of Project Managers
<p>The goal of this review paper is to investigate factors that contribute to project managers' crisis resilience through a systematic review of the literature and bibliometric analysis using VOXviewer. Existing research on project management and resilience focuses on urban resilience, community resilience, organisational resilience, team resilience, individual resilience, resilience of critical infrastructure, and flood resilience. In the context of project managers, however, the factors that influence crisis resilience and preparedness remain unclear. Using the PRISMA framework for systematic literature, 55 peer-reviewed articles published between 1993 and 2022 that met our criteria were identified through a structured keyword search in the Scopus and WoS databases. The systematic review and bibliometric analysis reveal eight (8) clusters, which we further categorise into four determinants. This is the most important finding of this review. In the context of the roles of project managers, the results of a comparative analysis reveal four prominent factors for enhancing crisis resilience: 1. leadership (individual resilience, influence, team trust, emotional intelligence); 2. interpersonal skill (conflict management, persistence, crisis preparedness); 3. agility (proactiveness, coping capacity, and adaptive capacity); 4. risk management and vulnerability (perception, awareness) . These factors are essential for developing project managers who are less susceptible to future crises and disasters. This study has exhaustively characterised the possibilities and capacities of crisis resilience in terms of competency, integration, collaboration, and novelty; however, the search was restricted to a small number of databases and a short period of time, which could be explored in future research. According to the findings, most previous research on crisis resilience focused on emergency preparedness and was primarily conducted in Western and American studies. There is a lack of a holistic perspective on crisis resilience, which will be developed. We believe that international collaboration efforts to establish a platform for the exchange of knowledge between Western and American nations and ASEAN members are necessary</p>
Figure 1 in Influence of environmental factors on surface activity of Paruroctonus marksi (Scorpiones: Vaejovidae) in the Mojave Desert
Figure 1. The mean abundance of scorpions (solid line) and water vapor pressure (dashed line) from August 2017 to September 2018.
Figure 2 in Influence of environmental factors on surface activity of Paruroctonus marksi (Scorpiones: Vaejovidae) in the Mojave Desert
Figure 2. Distance of adult scorpions from cover in relationship to water vapor pressure (grey squares) and moon illumination (dark triangles). The solid and dashed lines represent the trend line for water vapor pressure and moon illumination respectively.
Figure 2 in Sex inversion in cultivated mussels Mytilus galloprovincialis Lam. (Crimea, Black Sea) under influence of external environmental factors
Figure 2. Sex inversion in females of the cultivated mussel M. galloprovincialis after a one-month-long laboratory experiment and three-months-long conditioning at the mussel-and-oyster farm, 2016–2017.
R SCRIPT: INFLUENCE OF ENVIRONMENTAL FACTORS ON THE POWER PRODUCED BY PHOTOVOLTAIC PANELS ARTIFICIALLY WEATHERED
<p>The files describe the r-script code and data base used in the article titled: "INFLUENCE OF ENVIRONMENTAL FACTORS ON THE POWER PRODUCED BY PHOTOVOLTAIC PANELS ARTIFICIALLY WEATHERED"</p>
Factors influencing transferability in species distribution models
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Intrinsic factors influence a physiological measure across a forest bird community
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What factors influence the rediscovery of lost tetrapod species? Appendix F: Excluded species
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The impact of stress and its influencing factors among dentists during the COVID-19 pandemic in Kingdom of Bahrain
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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)
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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.