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Fig. 6 in The effect of structural enrichment in hatchery tanks on the morphology of two neotropical fish species
Fig. 6. Most important ecomorphological attributes for Brycon orbignyanus in the morphological differentiation among treatments, according to the ANOVA and the DCA, concomitantly. Treatments with a different letter above their ranges differed significantly.
Fig. 3 in The effect of structural enrichment in hatchery tanks on the morphology of two neotropical fish species
Fig. 3. Condition factors (CFs) for Prochilodus lineatus and Brycon orbignyanus. The ANOVA was significant for both species (p <0.0001), demonstrating significant differences among the treatments. The results of the Tukey tests specifying which CFs were different from each other is demonstrated by the letters A, B, and C. Different letters indicate significant differences among the treatments.
Fig. 5 in The effect of structural enrichment in hatchery tanks on the morphology of two neotropical fish species
Fig. 5. Most important ecomorphological attributes for Prochilodus lineatus in the morphological differentiation among treatments, according to the ANOVA and the DCA, concomitantly. Treatments with a different letter above their ranges differed significantly.
Fig. 7 in The effect of structural enrichment in hatchery tanks on the morphology of two neotropical fish species
Fig. 7. The log of the distance from the centroid plus 1 [log (DC+1)] for Prochilodus lineatus and Brycon orbignyanus. The ANOVA was significant for both species (p <0.0001), demonstrating significant differences among the treatments. The results of the Tukey tests, specifying which DCs were different from each other, are demonstrated by the letters A, B, and C. Different letters indicate significant differences among the treatments.
Fig. 4 in The effect of structural enrichment in hatchery tanks on the morphology of two neotropical fish species
Fig. 4. Projection of the four treatments [C = control; L = logs; M = macrophytes; and B = both (logs+macrophytes)] in the first two axes of the Principal Component Analysis for Prochilodus lineatus and for Brycon orbignyanus.
Fig. 2 in The effect of water pH on the incubation and larviculture of curimbatá Prochilodus lineatus (Valenciennes, 1837) (Characiformes: Prochilodontidae)
Fig. 2. Growth curves in total length of the Prochilodus lineatus larvae after 16 days of larviculture. The results are grouped in the different pH values used in the incubation.
Fig. 1 in The effect of water pH on the incubation and larviculture of curimbatá Prochilodus lineatus (Valenciennes, 1837) (Characiformes: Prochilodontidae)
Fig. 1. Experimental design elaborated for the incubation and larviculture stages of Prochilodus lineatus. 1 In the treatments tested in the larviculture, the first number represents the incubation pH history and the second the pH in which the larviculture took place. The larviculture treatments will be described in this fashion throughout the text. * Treatment not accomplished due to an almost total mortality in the incubation stage.
Fig. 2 in Effect of salinity on survival, growth and biochemical parameters in juvenile Lebranch mullet Mugil liza (Perciformes: Mugilidae)
Fig. 2. Whole-body oxygen consumption in juvenile Lebranche mullet Mugil liza (n = 6) after acclimation to different salinities for 40 days. Data are expressed as mean ± standard error.
Fig. 1 in Effect of salinity on survival, growth and biochemical parameters in juvenile Lebranch mullet Mugil liza (Perciformes: Mugilidae)
Fig. 1. Gill Na+- K+- ATPase activity in juvenile Lebranche mullet Mugil liza (n = 6) after acclimation to different salinities for 40 days. Data are expressed as mean ± standard error.
Fig. 1 in Anesthetic activity of the essential oil of Ocimum americanum in Rhamdia quelen (Quoy & Gaimard, 1824) and its effects on stress parameters
Fig. 1. Effects of the essential oil of Ocimum americanum (LEO) on cortisol (A), glucose (B) and Na+ (C) levels of R. quelen after handling. Data are presented as the mean ± SEM. Lowercase letters indicate significant differences between times after handling within same experimental group, # represents statistical differences in comparison to water control at the same time after handling, and * corresponds to differences in relation to basal level. Scheirer-Ray-Hare extension of the Kruskal–Wallis test followed by the Dunn test or two-way ANOVA and Tukey test were used (P <0.05).
Figure 15 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 15. The variation of the Pianka mean niche overlap index deviation from random alternative within principal components 3 and 4. Spawning start: B_bjoerkna – Blicca bjoerkna, C_gibelio – Carassius gibelio, S_erythrophthalmus – Scardinius erythrophthalmus, A_brama – Abramis brama, P_fluviatilis – Perca fluviatilis, R_rutilus – Rutilus rutilus, E_lucius – Esox lucius; regression residuals of the spawning end dependence from the start: B_delta – Blicca bjoerkna, C_delta – Carassius gibelio, S_delta – Scardinius erythrophthalmus, A_delta – Abramis brama, P_delta – Perca fluviatilis, R_delta – Rutilus rutilus, E_delta – Esox lucius.
Figure 12 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 12. Spawning variance partitioning between broad-, medium-, and fine-scale temporal temperature patterns and biotope type explanatory variables. Notes: [a] – variation explained solely by broad temperature variables; [b] – variation explained solely by medium temperature variables; [c] – variation explained solely by fine temperature variables; [d] – variation explained solely by biotope type. The intersection of the ellipses corresponds to the variations explained by the respective sources together All the variance fractions shown are significant (p <0.001).
Figure 14 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 14. Relative variance of the principal components (in %). Method: ANOVA Method, Type I SS, columns denote cumulative sums of variance components.
Figure 13 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 13. The temporal variation of the principal components 1–5. the x-axis – years, the y-axis – the scores of the principal components 1–5.
Figure 10 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 10. Distribution histograms of the Pianka mean niche overlap indexes in different types of habitats: 1 – Nikolayev system of water bodies; 2 – river Protoch system and Obukhov floodplain; 3 – the channel of the river Dnipro; 4 – water bodies of the Taromske ledge.
Figure 4 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 4. Scalogram illustrating the scaling of temporally structured variation in polynomial trend residuals data. The abscissa axis – dbMEMs ordered decreasingly according to the scale of temporal patterns they represent (dbMEM 1 represents the broadest scale, dbMEM 104 the finest scale). The ordinate axis – value of R2 is the variation explained adj by individual dbMEM variables.
Figure 5. Broad-scale components RDA 1-3 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin
Figure 5. Broad-scale components RDA 1-3 of the annual temperature variation. Black line – the original data, colored lines – smoothed data. The abscissa axis – the number of days from 1 July of the previous year to June 31 of the next year
Figure 1. A in Habitat description of the rare orchid Didymoplexis verrucosa for more effective conservation
Figure 1. A, Location of the province of KwaZulu-Natal within South Africa; B, northern KwaZulu-Natal showing the very limited extent of remaining forest ecosystems shaded in black with degree grid lines for spatial reference; C, study area shaded in grey south of the coastal town of Mtunzini with quarter degree grid lines for spatial reference.
Figure 1 in Comparing the effectiveness of pitfall traps and active sampling methods for ants and spiders in a Chromolaena odorata invaded site
Figure 1. Individual-based rarefaction/extrapolation sampling curves representing ant (A) and spider (B) sampling size collected by both active and passive sampling strategies used at Buffelsdraai Conservancy [AHC = aerial hand collection above the knee; AHCCRYPTIC = aerial hand collection below the knee cryptic; AHCOBV = aerial hand collection below the knee noticeable or non-cryptic; BB = vegetation beating].
Figure 4 in Comparing the effectiveness of pitfall traps and active sampling methods for ants and spiders in a Chromolaena odorata invaded site
Figure 4. Non-metric Multi-Dimensional Scaling (NMDS) representing the similarity of ant (A) and spider (B) species sampled by active and passive sampling techniques. The count abundance was transformed using square root and the data was analysed using Bray-Curtis similarity to produce a two-dimensional plot with a stress level = 0.07 and = 0.01, respectively [AHC CRYPTIC = aerial hand collection below the knee cryptic; AHC OBV = aerial hand collection below the knee noticeable or non-cryptic; AHC = aerial hand collection above the knee; BB = vegetation beating].
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.