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35 results for “tropical reservoir”
Figure 1 in Length-weight relationships of 19 fish species from two tropical artificial reservoirs (Manantali and Selingue) in Mali, West Africa
Figure 1. – Situation map (top) and detailed map (bottom) of the two Malian lakes studied: (A) Manantali, (B) Sélingué.
Fig. 1 in Habitat heterogeneity on feeding habit of two sympatric and congeneric characidae fishes in two tropical reservoirs
Fig. 1. NMDS plot showing relation of food item abundance found in the diet of Astyanax aff. bimaculatus Linnaeus, 1758 and A. parahybae Eigenmann, 1908 in Lajes and Santana reservoirs, state of rio de Janeiro, Brazil (Ap, Astyanax parahybae; Ab, Astyanax aff. bimaculatus; Ljs, Lajes; Snt, Santana).
Fig. 5 in Top-Down Control Of Phytoplankton By Zooplankton In Tropical Reservoirs In Singapore?
Fig. 5. The correlations of cladocerans with phytoplankton genera with high loadings on PC3; i.e. Anabaena, Dictyosphaerium, Melosira and "other cyanobacteria" (see Table 3). Cladoceran counts were expressed in number per m3 while phytoplankton counts were expressed as number per ml3.
Fig. 4 in Top-Down Control Of Phytoplankton By Zooplankton In Tropical Reservoirs In Singapore?
Fig. 4. The correlations of rotifers with phytoplankton genera with high loadings on PC1 and PC2; i.e. Ankistrodesmus, Cosmarium, Melosira, Peridinium, Planktotrix sp. 1 and 2, Scenedesmus, Synedra and Trachelomonas (see Table 3). Rotifer counts were expressed in number per m3 while phytoplankton counts were expressed as number per ml3.
Fig. 3 in Top-Down Control Of Phytoplankton By Zooplankton In Tropical Reservoirs In Singapore?
Fig. 3. The correlations of cyclopoid copepods with phytoplankton genera with high loadings on PC1 and PC2; i.e. Ankistrodesmus, Cosmarium, Melosira, Peridinium, Planktotrix sp. 1 and 2, Scenedesmus, Synedra and Trachelomonas (see Table 3). Cyclopoid counts were expressed in number per m3 while phytoplankton counts were expressed as number per ml3.
Fig. 2 in Top-Down Control Of Phytoplankton By Zooplankton In Tropical Reservoirs In Singapore?
Fig. 2. The correlations of calanoid copepods with phytoplankton genera with high loadings on PC1 and PC2; i.e. Ankistrodesmus, Cosmarium, Melosira, Peridinium, Planktotrix sp. 1 and 2, Scenedesmus, Synedra and Trachelomonas (see Table 3). Calanoid counts were expressed in number per m3 while phytoplankton counts were expressed as number per ml3.
Fig. 1 in Top-Down Control Of Phytoplankton By Zooplankton In Tropical Reservoirs In Singapore?
Fig. 1. Location of reservoirs within Singapore within which zooplankton and phytoplankton samples were monitored every month between 1992 and 2006. 1. Bedok, 2. Lower Seletar, 3. Upper Seletar, 4. Lower Peirce, 5. Upper Peirce, 6. MacRitchie, 7. Kranji, 8. Pandan, 9. Jurong Lake, 10. Murai, 11. Poyan and 12. Tengeh.
Fig. 4 in Population structure and reproductive behavior of Sinaloa cichlid Cichlasoma beani (Jordan, 1889) in a tropical reservoir
Fig. 4. Relationship between standard length and total weight (SL-TW) of the Sinaloa cichlid Cichlasoma beani in the Aguamilpa Reservoir in Nayarit, Mexico.
Fig. 3 in Population structure and reproductive behavior of Sinaloa cichlid Cichlasoma beani (Jordan, 1889) in a tropical reservoir
Fig. 3. Monthly frequency distribution of size and modal groups of Sinaloa cichlid Cichlasoma beani in the Aguamilpa Reservoir in Nayarit, Mexico.
Fig. 2 in Population structure and reproductive behavior of Sinaloa cichlid Cichlasoma beani (Jordan, 1889) in a tropical reservoir
Fig. 2. (a) Monthy sex ratio; (b) Length-frequency distribution by gender for Sinaloa cichlid Cichlasoma beani in the Aguamilpa Reservoir in Mexico. Asterisks indicate significant differences.
Fig. 7 in Population structure and reproductive behavior of Sinaloa cichlid Cichlasoma beani (Jordan, 1889) in a tropical reservoir
Fig. 7. Size at first maturity of the Sinaloa cichlid Cichlasoma beani in the Aguamilpa Reservoir in Nayarit, Mexico.
Fig. 5 in Population structure and reproductive behavior of Sinaloa cichlid Cichlasoma beani (Jordan, 1889) in a tropical reservoir
Fig. 5. Reproductive cycle of the Sinaloa cichlid Cichlasoma beani in the Aguamilpa Reservoir in Nayarit, Mexico.
Fig. 4 in Fish assemblage in a dammed tropical river: an analysis along the longitudinal and temporal gradients from river to reservoir
Fig. 4. Ordination diagram from Canonical Correspondence Analysis of the abundance of the 14 most numerous species with abiotic variables. Zone codes: 1 = Zone 1; 2 = Zone 2; 3 = Zone 3; and 4 = Zone 4. Species codes: Aspar = Astyanax parahybae; Astbim = Astyanax cf. bimaculatus; Cickel = Cichla kelberi; Geobra = Geophagus brasiliensis; Hopmal = Hoplias malabaricus; Hypaur = Hypostomus auroguttatus; Hoplit = Hoplosternum littorale; Hypaff = Hypostomus affinis; Lepcop = Leporinus copelandii; Lepcon = Leporinus conirostris; Metmac = Metynnis maculatus; Olihep = Oligosarcus hepsetus; Pimmac = Pimelodus maculatus; Plasqu = Plagioscion squamosissimus.
Fig. 3 in Fish assemblage in a dammed tropical river: an analysis along the longitudinal and temporal gradients from river to reservoir
Fig. 3. Spatial variation in species number and biomass by zone (1, 2, 3, 4) in Paraíba do Sul River and Funil Reservoir.
Fig. 1 in Fish assemblage in a dammed tropical river: an analysis along the longitudinal and temporal gradients from river to reservoir
Fig. 1. Paraíba do Sul River - Funil Reservoir system. The four sampled zones are shown (1 = Zone 1; 2 = Zone 2; 3 = Zone 3, and 4 = Zone 4).
Fig. 2 in Fish assemblage in a dammed tropical river: an analysis along the longitudinal and temporal gradients from river to reservoir
Fig. 2. Individual-based rarefaction curves by zone (1, 2, 3, 4) for species richness in the Paraíba do Sul River and Funil Reservoir.
Fig. 3 in Mercury distribution in different tissues and trophic levels of fish from a tropical reservoir, Brazil
Fig. 3. Mean concentrations and ratios of mercury in different tissues of omnivorous (a), carnivorous (b), and detritivorous fishes (c) collected from Vigário Reservoir. Error bars represent one standard deviation of the mean.
Fig. 1 in Mercury distribution in different tissues and trophic levels of fish from a tropical reservoir, Brazil
Fig. 1. Map of Vigário reservoir, showing its drainage basin (Piraí river, Paraíba do Sul river and Santana reservoir). Black arrows indicate the water flow. (Source: Gomes et al., 2008).
Fig. 2 in Mercury distribution in different tissues and trophic levels of fish from a tropical reservoir, Brazil
Fig. 2. Mean concentrations and ratios of mercury in muscle of fish collected from Vigário reservoir. Different letters indicate significant difference between groups: inorganic (ab) and organic mercury concentrations (xyz), and ratios of organic mercury (αβγ). Error bars represent the standard deviation of the mean.
Empirical food webs of 12 tropical reservoirs in Singapore
<p>We present 12 food webs from tropical reservoir communities in Singapore, and summarise the topology of each with widely used network indices (e.g., connectance, link density). Each reservoir was surveyed over 4–6 sampling occasions, during which, representative animal groups (i.e., fish species, and taxonomic/functional groups of zooplankton and benthic macroinvertebrates) and all likely sources of primary production (i.e., macrophytes, periphyton, phytoplankton, and riparian terrestrial plants) were collected. We determined and measured gut content in fishes and bulk isotope (d<sup>13</sup>C and d<sup>15</sup>N) profiles of the animals collected, which contributed to estimating the relative strength of trophic relationships using Bayesian mixing models. We document our protocol here, alongside a script in the R programming language for executing data management/analyses/visualisation procedures used in our study. This data can be used to glean insights into trends in inter- and intra-specific or guild interactions in analogous freshwater lake habitats.</p>
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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.