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24 results for “Water body, river”
Fig. 2 in Symbiont Fauna Of Freshwater Zooplankton In Several Water Bodies Of The Dnipro River Basin
Fig. 2. Symbionts of fresh-water zooplankton: I — Haplocaulus kahlii; J — Haplocaulus epizoicus; K — Rhabdostyla cyclopis; L —Epistylis digitalis; M — Zoothamnium sp.; N — Vorticella lutea; O — Acineta nitocrae; P — Tokophrya actinostyla; Q — eggs of Thermocyclops oithonoides infected by parasitic flagellates Dinema undulaflagellatum; R — Bosmina longirostris filled by Coelosporidium chydoricola.
Рис. 1. Обзорная схема распоΛожения обсΛеΔованных воΔных объектов системы СреΔнего Енисея. Номера воΔных объектов привеΔены в соответствии с табΛицей 1 Fig. 1. The location scheme of the examined water bodies of the Middle Yenisei system. The water bodies are numbered in accordance with Table 1 in Extension Of The Range Of Amur Sleeper Dybowski, 1877 (Perciformes: Odontobutidae) In The Yenisei River System
Рис. 1. Обзорная схема распоΛожения обсΛеΔованных воΔных объектов системы СреΔнего Енисея. Номера воΔных объектов привеΔены в соответствии с табΛицей 1 Fig. 1. The location scheme of the examined water bodies of the Middle Yenisei system. The water bodies are numbered in accordance with Table 1
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 3b in Species diversity and community structure of zooplankton in three different types of water body within the Sakarya River Basin, Turkey
Figure 3b. CCA biplot diagram with three lakes (all seasons and stations) and 81 species (Rot: Rotifera, Cla: Cladocera, Cop: Copepoda, species abbreviations are listed in Table 2).
Figure 1 in Species diversity and community structure of zooplankton in three different types of water body within the Sakarya River Basin, Turkey
Figure 1. Species richness, evenness, and diversity boxplots in each lake. The horizontal thick black band represents the median value, and the boxplot margins indicate first and third quartiles.
Figure 2 in Species diversity and community structure of zooplankton in three different types of water body within the Sakarya River Basin, Turkey
Figure 2. nMDS plots between lakes in terms of zooplankton species composition and abundance (a: all zooplankton species, b: rotifers, c: cladocerans.), Triangle: Lake Poyrazlar, Square: Çubuk II Reservoir, Circle: Sorgun Pond.
Figure 3a in Species diversity and community structure of zooplankton in three different types of water body within the Sakarya River Basin, Turkey
Figure 3a. CCA biplot diagram with three lakes (all seasons and stations), and eight environmental variables. For sample abbreviations, first letter indicates water body; s: Sorgun, p: Poyrazlar, c: Çubuk II; letters between 2 and 4 indicate the seasons: spr: spring, sum: summer, win: winter; numerical variables indicate sampling stations.
Figure 1 in Invasion of Corbicula fluminea (Müller, 1774) (Bivalvia: Corbiculidae) in water bodies from the East Aegean River Basin in Bulgaria
Figure 1. Map with the location of the sampling sites and an overall view of some of them (№ of pictures and sampling sites as in Tab. 1).
Fig. 1 in Symbiont Fauna Of Freshwater Zooplankton In Several Water Bodies Of The Dnipro River Basin
Fig. 1. Symbionts of fresh-water zooplankton: A — abdomen with zoo-
Figure 2 in Invasion of Corbicula fluminea (Müller, 1774) (Bivalvia: Corbiculidae) in water bodies from the East Aegean River Basin in Bulgaria
Figure 2. Number of collected specimens at the sampling sites (the order is as in Tab. 1).
Figure 11 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 11. Temporal trend of the Pianka mean niche overlap indexes deviation from random alternatives (1998–2018). The abscissa axis – years, the ordinate axis – the Pianka mean niche overlap indexes deviation from random alternatives, line – the linear approximation of the temporal trend (R2 = 0.32, p <0.001).
Figure 9 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 9. Dynamics of the spawning start and end of fish in the "Dnipro-Orilskiy" nature reserve. The abscissa axis – years; the ordinate axis – spawning start and end, days of the year (black dot – spawning start time, red dot – spawning end time); lines – linear trend approximation
Figure 8 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 8. Dependence of the coefficient of variation of the spawning start time from the average time of the spawning onset and the coefficient of variation of the end of the spawning from the average time of the end of the spawning. The abscissa axis – days of the year; the ordinate axis – coefficient of variation (blue dot – spawning start time, red dot – spawning end time); lines – second order approximation polynomials.
Figure 7. Fine-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 7. Fine-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.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.