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Fig. 1 in Second floor, please: the fish fauna of floating litter banks in Amazonian streams and rivers
Fig. 1. Floating litter banks of different dimensions and means of accumulation (i.e., diverse retention mechanisms): (a) floating litter banks retained by branches of riparian vegetation; (b) a large floating litter bank retained in a "ria lake" condition at the confluence of the Aliança Stream with the Branco River; (c) a small floating litter bank close to the margin of a 4th-order stream in the Urubu River basin; and (d) a large floating litter bank almost completely out of the water in a stream in the Urubu River basin during the dry season.
Fig. 3 in Second floor, please: the fish fauna of floating litter banks in Amazonian streams and rivers
Fig. 3. The fish fauna associated with kinon banks is dominated by species of characins (Characiformes), catfishes (Siluriformes) and electric knife fishes (Gymnotiformes). Some of the more common and abundant species in our samples were the following: (a) Elachocharax pulcher, Crenuchidae; (b) Hypopygus lepturus, Hypopomidae; (c) Batrochoglanis raninus, Pseudopimelodidae; and (d) Brachyglanis microphthalmus, Heptapteridae.
Figure 2 in AfriBasins: a new framework in FishBase for the analysis of African fresh and brackish water fish distributions, with a discussion on the Congo basin fauna
Figure 2. – Family level composition of the fish fauna of the Congo Basin s.s. "Other" includes the following families: Tetraodontidae, Bagridae, Citharinidae, Dasyatidae, Hepsetidae, Protopteridae, Syngnathidae, Mugilidae, Notopteridae, Channidae, Ariidae, Cynoglossidae, Elopidae, Pristigasteridae, Latidae, Megalopidae, Ophichthidae, Pantodontidae, Phractolaemidae, Pristidae and Carangidae.
Figure 5 in AfriBasins: a new framework in FishBase for the analysis of African fresh and brackish water fish distributions, with a discussion on the Congo basin fauna
Figure 5. – Cluster analysis on the fish distribution data for the Congo Basin s.s., based on (A) the Ochiai coefficient and (B) the correlation ratio.
Figure 7 in AfriBasins: a new framework in FishBase for the analysis of African fresh and brackish water fish distributions, with a discussion on the Congo basin fauna
Figure 7. – Evolution of the estimated number of species based on various definitions of the Congo basin: Central Congo, i.e. Kinshasa to Kisangani, without Kasai upstream from Mushie (Poll and Gosse, 1963); without lakes Bangweulu and Mweru (Roberts, 1972); entire Congo (Poll, 1973); excluding Lake Tanganyika (Lowe-McConnell, 1987); excluding lakes Tanganyika and Mweru, primary freshwater species (Teugels and Guégan, 1994); Zaïre, probably only includes primary freshwater species (Lévêque, 1997); Zaïre, probably includes primary, secondary and peripheral species (Lévêque, 1997); Congo River system, at least 700 species (Skelton, 2001); Congo and Lake Tanganyika (Revenga and Kura, 2003); Congo River system (Thieme et al., 2005); the Congo (Dumont, 2009); Congo basin including the Rift Valley region with lakes Tanganyika and Kivu and the Malagarasi basin (Snoeks et al., 2011).
Figure 12 in First records of nine fish species from Réunion Island observed during an inventory of the fauna of mesophotic zone
Figure 12. – Gymnothorax aff. breedeni, species not identified with certainty, several specimens were observed at the depths closed to 100 m in the Bay of Saint-Leu (zone 1), 10 Nov. and 15 Dec. 2020. Photograph by P. Plantard.
Figure 8 in First records of nine fish species from Réunion Island observed during an inventory of the fauna of mesophotic zone
Figure 8. – Halichoeres trispilus, 95 m Bay of Saint-Leu (zone 1), 15 Dec. 2020. Photograph by P. Plantard.
Figure 10 in First records of nine fish species from Réunion Island observed during an inventory of the fauna of mesophotic zone
Figure 10. – Canthigaster tyleri, 85 m Bay of Saint-Leu (zone 1), 20 Jan. 2021. Photograph by P. Plantard.
Figure 2 in First records of nine fish species from Réunion Island observed during an inventory of the fauna of mesophotic zone
Figure 2. – Dunckerocampus boylei, 95 m Bay of Saint-Leu (zone 1), 15 Dec. 2020. Photograph by P. Plantard.
Figure 1 in First records of nine fish species from Réunion Island observed during an inventory of the fauna of mesophotic zone
Figure 1. – Sampling zones (zone 1 and 2 in red) on a geomorphological map of the coast of Réunion Island (Guennoc et al., 2008).
FIGURE 6 in The deep sea teleost fish fauna of the Brazilian North Coast
FIGURE 6 | Species of the order Lophiiformes, family Lophiidae, A. Sladenia shaefersi, photograph by PRODEMERSAL, family Chaunacidae, B. Chaunax suttkusi, photograph by Revizee Score-North, and family Ogcocephalidae, C. Dibranchus atlanticus, photograph by Revizee Score-North.
FIGURE 1 in The deep sea teleost fish fauna of the Brazilian North Coast
FIGURE 1 | Brazilian North coast, shaded in grey, with The Great Amazon Reef System, as defined by Moura et al. (2016), shaded in red and collection locations shaded in black (modified from resources and species with potential for exploitation on the continental shelf and slope (Lucena, Asano-Filho, 2006). A. collection locations of Program REVIZEE Score-North, B. collection locations of Program PRODEMERSAL, and C. collection locations of Program PROTUNA.
FIGURE 4 in The deep sea teleost fish fauna of the Brazilian North Coast
FIGURE 4 | Species of the order Gadiformes, family Moridae, A. Physiculus kaupi, photograph by Revizee Score-North, order Trachichthyiformes, family Trachichthyidae, B. Gephyroberyx darwinii, photograph by PRODEMERSAL, order Pleuronectiformes, family Bothidae, C. Chascanopsetta lugubris, photograph by Revizee Score-North, order Callionymiformes, family Callionymidae, D. Synchiropus agassizii, photograph by Revizee Score-North, order Scombriformes, family Gempylidae E. Gempylus serpens, photograph by PROTUNA, F. Lepidocybium flavobrunneum, photograph by PROTUNA, G. Neoepinnula americana, photograph by PRODEMERSAL, H. Ruvettus pretiosus, photograph by PRODEMERSAL, family Ariommatidae, I. Ariomma bondi, photograph by Revizee Score-North, J. Ariomma melana, photograph by PRODEMERSAL, order Perciformes, family Epigonidae, K. Epigonus pandionis, photograph by CEPNOR, and family Serranidae, L. Anthias asperilinguis, photograph by PRODEMERSAL, M. Anthias nicholsi, photograph by PRODEMERSAL.
FIGURE 5 in The deep sea teleost fish fauna of the Brazilian North Coast
FIGURE 5 | Species of the order Perciformes, family Bramidae, A. Brama brama, photograph by PRODEMERSAL, family Priacanthidae, B. Cookeolus japonicus, photograph by PRODEMERSAL, family Lutjanidae, C. Etelis oculatus, photograph by PRODEMERSAL, order Scorpaeniformes, family Scorpaenidae, D. Pontinus rathbuni, photograph by Revizee Score-North, E. Setarches guentheri, photograph by PRODEMERSAL, family Triglidae, F. Bellator brachychir, photograph by Revizee Score-North, G. Prionotus stearnsi, photograph by Revizee Score-North, family Peristediidae, H. Peristedion sp., photograph by Revizee Score-North, order Caproiformes, family Caproidae, I. Antigonia capros, photograph by PRODEMERSAL, J. Antigonia combatia, photograph by PRODEMERSAL, and order Lophiiformes, family Lophiidae, K. Lophius gastrophysus, photograph by PRODEMERSAL.
Fig. 3 in Impact of ecotourism on the fish fauna of Bonito region (Mato Grosso do Sul State, Brazil): ecological, behavioural and physiological measures
Fig. 3. Image illustrating under water visibility at the beginning of the snorkeling excursion and the presence of tourists (Lima, 2008).
Fig. 1 in Impact of ecotourism on the fish fauna of Bonito region (Mato Grosso do Sul State, Brazil): ecological, behavioural and physiological measures
Fig. 1. Map showing the location of the study area: Sucuri River (C), município of Bonito area (B), Brazil (A). Adapted from Miranda & Coutinho (2004).
Fig. 8 in Impact of ecotourism on the fish fauna of Bonito region (Mato Grosso do Sul State, Brazil): ecological, behavioural and physiological measures
Fig. 8. Variation of behaviour patterns between before (8h00) and after (9h00) the first disturbance of tourists in the river (mean and SEM) for M. bonita; (a) Tourism and (b) No Tourism. Lighter bars = 8h00; darker bars = 9h00 (Mann-Whitney U-test). N = 70; * p <0.05; ** p <0.01.
Fig. 9 in Impact of ecotourism on the fish fauna of Bonito region (Mato Grosso do Sul State, Brazil): ecological, behavioural and physiological measures
Fig. 9. Variation (mean and SEM) of cortisol responses to restraining stress in Moenkhausia bonita individuals at the No Tourism and Tourism sites (Mann-Whitney U-test, N = 6; Z = -2.95; p <0.005).
Fig. 5 in Effect of Bacillus sphaericus Neide on Anopheles (Diptera: Culicidae) and associated insect fauna in fish ponds in the Amazon
Fig. 5. Regression analysis of diversity and richness data compared to application of Bacillus sphaericus.
Fig. 3 in Effect of Bacillus sphaericus Neide on Anopheles (Diptera: Culicidae) and associated insect fauna in fish ponds in the Amazon
Fig. 3. Abundance over time of aquatic insects and values LNMH at C3 and C4, Manaus, Amazonas, Brazil.
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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
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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.