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opencc-zeroJun 2024View details →

Dataset: Xtrackers RREEF Global Natural Resources ETF (NRES) 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.

opencc-zeroJun 2024View details →

Dataset: Ramaco Resources, Inc. (METC) Stock Performance

Fig. 3 in Spatial, seasonal and ontogenetic changes in food resource use by a piscivore fish in two Pantanal lagoons, Brazil

Fig. 3. Diet composition of Plagioscion ternetzi by size class in Sinhá Mariana lagoon (a) and in Chacororé lagoon (b) (EIG: Eigenmannia spp.; PIM: Pimelodella spp.; ROE: Roeboides spp.; PCU: Psectrogaster curviventris; CDO: Curimatella dorsalis; BRA: Brachyhypopomus spp.; SMA: Synbranchus marmoratus; TAR: Tetragonopterus argenteus; HOR: Hemiodus orthonops; LOR: Loricariichthys spp.; SBR: Schizodon borellii; AST: Astyanax spp.; SMG: Serrasalmus marginatus; LEP: Leporinus spp.; OF: other fish; SH: shrimp; INS: insect; FR: fish remains).

Fig. 2 in Spatial, seasonal and ontogenetic changes in food resource use by a piscivore fish in two Pantanal lagoons, Brazil

Fig. 2. Diet composition of Plagioscion ternetzi in the lagoons Sinhá Mariana (a) and Chacororé (b), during the flood and dry periods.

Fig. 4 in Spatial, seasonal and ontogenetic changes in food resource use by a piscivore fish in two Pantanal lagoons, Brazil

Fig. 4. Species abundance curve of fish species at Sinhá Mariana lagoon (a = flood period and b = dry period) and Chacororé lagoon (c = flood period and d = dry period). Species within the rectangle correspond to the ten most abundant in the lagoon, in order of importance; the species out of the rectangle correspond to the most consumed by Plagioscion ternetzi.

Fig. 1 in Spatial, seasonal and ontogenetic changes in food resource use by a piscivore fish in two Pantanal lagoons, Brazil

Fig. 1. Location of the study area in the system of Chacororé-Sinhá and Mariana lagoons, Pantanal Matogrossense, Mato Grosso State, Brazil.

Fig. 2 in Relationships between morphology, diet and spatial distribution: testing the effects of intra and interspecific morphological variations on the patterns of resource use in two Neotropical Cichlids

Fig. 2. Head of Satanoperca pappaterra (a) and Crenicichla britskii (b), showing differences in the mouth protrusion.

Fig. 7 in Longitudinal use of feeding resources and distribution of fish trophic guilds in a coastal Atlantic stream, southern Brazil

Fig. 7. Spearman correlations between the distribution (percentage frequency) of guilds and scores of the first axis of the principal components analysis (PCA1) applied to the correlation matrix of abiotic variables. White circle = headwaters; gray circle = middle stretch; and black circle = mouth of the Vermelho River, East Atlantic basin, Antonina, Paraná State, Brazil.

Fig. 5 in Longitudinal use of feeding resources and distribution of fish trophic guilds in a coastal Atlantic stream, southern Brazil

Fig. 5. Longitudinal niche breadth (B values) of each fish trophic guild in the Vermelho River, East Atlantic basin, Antonina, Paraná State, Brazil. Aq = aquatic; ter = terrestrial.

Fig. 4 in Longitudinal use of feeding resources and distribution of fish trophic guilds in a coastal Atlantic stream, southern Brazil

Fig. 4. Mean ± standard error of diet breadth (B) of fish trophic guilds in the Vermelho River, East Atlantic basin, Antonina, Paraná State, Brazil. Aq = aquatic; ter = terrestrial. Piscivores and omnivores are not included in the ANOVA.

Fig. 6 in Longitudinal use of feeding resources and distribution of fish trophic guilds in a coastal Atlantic stream, southern Brazil

Fig. 6. Density (a) and biomass (b) of trophic guilds along the longitudinal gradient of the Vermelho River, East Atlantic basin, Antonina, Paraná State, Brazil. Aq = aquatic; ter = terrestrial.

Fig. 3 in Longitudinal use of feeding resources and distribution of fish trophic guilds in a coastal Atlantic stream, southern Brazil

Fig. 3. Ordination of fish species in the respective trophic guilds (a, b, c) and food items (d, e, f) along the longitudinal gradient of the Vermelho River, East Atlantic basin, Antonina, Paraná State, Brazil. Circles represent species belonging to the same trophic guild. Codes according to Table 3.

Fig. 2 in Longitudinal use of feeding resources and distribution of fish trophic guilds in a coastal Atlantic stream, southern Brazil

Fig. 2. Ordination of sampling sections along the environmental gradient defined by the first two axes of the principal components analysis (PCA1 and PCA2) applied to the correlation matrix of abiotic variables of the Vermelho River, East Atlantic basin, Antonina, Paraná State, Brazil.

Fig. 1 in Longitudinal use of feeding resources and distribution of fish trophic guilds in a coastal Atlantic stream, southern Brazil

Fig. 1. Location of the Vermelho River, East Atlantic basin, Antonina, Paraná State, Brazil. Black circles indicate the sampling sections; arrow indicates the direction of flow.

Fig. 2 in Resource use by the facultative lepidophage Roeboides affinis (Günther, 1868): a comparison of size classes, seasons and environment types related to impoundment

Fig. 2. Medians of percentage volume of scales consumed by Roeboides affinis in the upper Tocantins river, from 1995 to 2000, in: (a) different environmental types (Lotic, n = 38, vs. Lentic, n = 52); (b) seasons (Dry, n = 25, vs. Wet, n = 68); (c) size classes 1 (n = 12), 2 (n = 38), 3 (n = 26), 4 (n = 9) and 5 (n = 5) and (d) different post-impoundment phases (Filling, n = 9, vs. Operation, n = 2) in lentic sites.

Fig. 1 in Resource use by the facultative lepidophage Roeboides affinis (Günther, 1868): a comparison of size classes, seasons and environment types related to impoundment

Fig. 1. CA ordination of 155 individuals of Roeboides affinis of two groups formed by five size classes (Group1, n = 33, and Group 2, n = 22) according to the consumption of food items (volumetric proportions) in the upper Tocantins River in two environment types (Lotic, n = 61, vs. Lentic, n = 94) related to its impoundment by the Serra da Mesa Hydroelectric Dam, from 1995 to 2000.

opencc-by-4.0Dec 2011View details →

Fig. 2 in Characterization Of Latvian Alfalfa Medicago Sativa Genetic Resources

Fig. 2. Histograms of flow cytometric analysis for alfalfa leaves: (A) tetraploid plant of accession Skrīveru and (B) diploid plant of accession Dzelmes.

opencc-by-4.0Dec 2015View details →

Fig.4 in A Review Of Latvian Blue (Lz) Cows From The List Of Animal Genetic Resources In Latvia

Fig.4. Association analysis between genotypes of A and B alleles of alpha – lactalbumin gene and protein content (%) at the first three lactations. Bar with a straight edge points to signs of an average group size with a standard deviation; * - refers to the association with the performance at a particular lactation; F – index of ANOVA; p F – statistical signification; η – index of correlation analyse.

opencc-by-4.0Dec 2021View details →

Figure 4 in Fishers' perceptions of river resources: case study of French Guiana native populations using contextual cognitive mapping

Figure 4. – Cognitive maps focused on a minimum common overview (gray concepts and edges (incoming arrows)) and village-specific overviews (white concepts and blue (5 Amerindian villages) or brown (2 Aluku villages) edges) of threats to the fish resource and environment.