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Fig. 2 in Aquatic food webs in mangrove and seagrass habitats of Centla Wetland, a Biosphere Reserve in Southeastern Mexico
Fig. 2. Mean (± S.D.) δ13C and δ15N values of consumers (fishes, crustaceans and mollusks) and primary producers in Polo Stream and San Pedrito Lagoon. Species identities are in Table 1.
Fig. 1 in Aquatic food webs in mangrove and seagrass habitats of Centla Wetland, a Biosphere Reserve in Southeastern Mexico
Fig. 1. Map depicting the location and extent of Centla Wetland Biosphere Reserve (CWBR) in Southern Mexico. The detailed study area map illustrates locations of field collections at Polo Stream and San Pedrito Lagoon along the Grijalva and Usumacinta Rivers in Tabasco, Mexico.
Fig. 2 in Comparative feeding ecology and habitats use of Crenicichla species (Perciformes: Cichlidae) in a Venezuelan floodplain river
Fig. 2. Map showing location of the Cinaruco River, a tributary of the Orinoco River in Venezuela's Apure State; the study reach is outlined with a rectangle.
Fig. 4 in Comparative feeding ecology and habitats use of Crenicichla species (Perciformes: Cichlidae) in a Venezuelan floodplain river
Fig. 4. Number of immature and mature gonads encountered in C. lugubris (a) and C. aff. wallacii (b) of different size classes during the dry season. (black barra) Mature (gonad state> 3); (white barra) immature (gonad state 1-2). C. lugubris (n = 102), C. aff. wallacii (n = 108).
Fig. 3 in Habitat selection by anchovies (Clupeiformes: Engraulidae) in a tropical bay at Southeastern Brazil
Fig. 3. Canonical correspondence analysis ordination diagram of juvenile Engraulidae abundance data, with environmental variables. Bay Zones: Sites 1, 2 and 3 (outer); 4 and 5 (inner).
Fig. 2 in Comparison of fish assemblages in two littoral habitats in a Neotropical morichal stream in Venezuela
Fig. 2. Non-multi-dimensional scaling (MDS) ordination depicting similarity/dissimilarity of fish assemblages from flooded vegetation (open triangles) and sand bank habitats (inverted closed triangles). Each symbol represents one sampling site. Relative distance among symbols represents the relative similarity/dissimilarity of assemblage composition from the site based on presence/absence data.
Fig. 4 in Habitat selection by anchovies (Clupeiformes: Engraulidae) in a tropical bay at Southeastern Brazil
Fig. 4. Canonical correspondence analysis ordination diagram of adults Engraulidae abundance data, with environmental variables. Samples coded by seasons.
Fig. 2 in Habitat selection by anchovies (Clupeiformes: Engraulidae) in a tropical bay at Southeastern Brazil
Fig. 2. Spatial and seasonal densities of juveniles A. januaria (o) and A. tricolor (l) in the Sepetiba Bay, 1998/2000. Each sample (mark in the graphic) represents the total number of fish.
Fig. 1 in Habitat selection by anchovies (Clupeiformes: Engraulidae) in a tropical bay at Southeastern Brazil
Fig. 1. Study area, Sepetiba Bay, Brazil, with indication of the beach seine sampling sites (1-5). a - rio Prata; b - rio Corumbi; c - rio Cação; d - rio Mazomba; e - rio Guarda; f - canal São Francisco; g - canal Guandu; h - canal Itá; i - rio Piraquê; j - rio Piracão.
Fig. 1 in Comparison of fish assemblages in two littoral habitats in a Neotropical morichal stream in Venezuela
Fig. 1. Location of Caño La Guardia in the southwestern Apure State, Venezuela (Sampling sites are shown by black dots).
Fig. 1 in Trophic guilds of fishes in sandbank habitats of a Neotropical river
Fig. 1. Scores for the fish species (a) and their food items (b) along Axes 1 and 2, derived from detrended correspondence analysis (DCA). The circles in (a) indicate the groups determined by the k-means analysis.
Fig. 2 in Trophic guilds of fishes in sandbank habitats of a Neotropical river
Fig. 2. Proportions of terrestrial, aquatic, and undetermined resources used by the fish trophic groups.
Fig. 3 in Trophic guilds of fishes in sandbank habitats of a Neotropical river
Fig. 3. Food resource availability, inferred from the volume of items in the stomachs analyzed for all species combined.
Fig. 2 in Evidence of habitat fragmentation affecting fish movement between the Patos and Mirim coastal lagoons in southern Brazil
Fig. 2. Average, minimum and maximum salinity values along the Patos Lagoon estuary (A1, A2), São Gonçalo Channel (B1, B2) and Mirim Lagoon (C1, C2).
Fig. 1 in Evidence of habitat fragmentation affecting fish movement between the Patos and Mirim coastal lagoons in southern Brazil
Fig. 1. Patos-Mirim lagoon complex in southern Brazil (a) showing locations of the six beach seine stations (b) at the Patos Lagoon estuary (A1, A2), São Gonçalo Channel (B1, B2) and Mirim Lagoon (C1, C2). A dam is located between stations B1 and B2.
Figure 5 in Cryptic speciation at organic-rich marine habitats: a new bacteriovore annelid from whale-fall and fish farms in the North-East Atlantic
Figure 5. Vigtorniella spp. Haplotype network of cytochrome c oxidase subunit I (COI). Each large circle represents a sequence from an individual of Vigtorniella ardabilia that has been collected in Sweden (white) or Norway (grey). Black circles represent V. flokati, collected in the Pacific Ocean, three specimens sampled sharing the same haplotype. Letters in circles, A-G, represent haplotypes of V. ardabilia sampled in this study (Table 1). Each line represents a mutation and small empty circles are inferred haplotypes not present in the current study.
Figure 4 in Cryptic speciation at organic-rich marine habitats: a new bacteriovore annelid from whale-fall and fish farms in the North-East Atlantic
Figure 4. Vigtorniella ardabilia sp. nov., specimen from whale-fall in Sweden, light micrographs: (A) parapodia from mid-body region, (B) detail of neuropodial falcigers, (C) detail of notopodial spine. Scale bar in (A) is 100 Mm, in (B) and (C) 10 Mm.
Figure 3 in Cryptic speciation at organic-rich marine habitats: a new bacteriovore annelid from whale-fall and fish farms in the North-East Atlantic
Figure 3. Vigtorniella ardabilia sp. nov., specimen from whale-fall in Sweden. SEM micrographs of (A) head region dorsal view, (B) head region ventral view, (C) fine neuropodial falcigers from segment 2, (D) neuropodial falcigers from mid-body region, and (E) notopodial spine. Scale bars in (A) and (B) are 150 Mm, in (C) 7.5 Mm, in (D) 15 Mm and in (E) 6 Mm.
Figure 2 in Cryptic speciation at organic-rich marine habitats: a new bacteriovore annelid from whale-fall and fish farms in the North-East Atlantic
Figure 2. Vigtorniella ardabilia sp. nov., live photo of specimen from whale-fall in Sweden. The worm is 6 mm long.
Figure 3 in Cryptic speciation at organic-rich marine habitats: a new bacteriovore annelid from whale-fall and fish farms in the North-East Atlantic
Figure 3. Relationship between the number of chaetigers and total bodylength in 15 specimens of Vigtorniella ardabilia and 33 specimens of V. flokati.
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.