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619 results for “estuarine”
FIGURE 3. Ancistrosyllis matlaensis n in Ancistrosyllis matlaensis n. sp. (Polychaeta: Pilargidae) from the Sundarban Estuarine System, India
FIGURE 3. Ancistrosyllis matlaensis n. sp. holotype PUZ- 323 a) Anterior end, ventral view; b) paratype PUZ-357 anterior end, ventral view showing the dorsal hook from chaetiger 7; c) paratype PUZ-357 neuropodia with non limbate neurochaetae d) holotype PUZ- 323 sabre-like neurosetae with curved serrated cutting edges and bidented tips (scales: a, 60 µm; b, 100 µm; c, 50 µm; d, 5 µm) (la—lateral antennae, tc—tentacular cirri, nh—notopodial hook, dc—dorsal cirri, vc—ventral cirri, ncneurochaete).
FIGURE 2. Ancistrosyllis matlaensis n in Ancistrosyllis matlaensis n. sp. (Polychaeta: Pilargidae) from the Sundarban Estuarine System, India
FIGURE 2. Ancistrosyllis matlaensis n. sp. holotype PUZ- 323 a) Anterior end, dorsal view; b) anterior end with palps and antennae, ventral view; c) pharynx with denticles; d) Posterior end, dorsal view showing anal cirri (enlarged, papillated). (scales: a, 60 µm; b, d, 30 µm; c, 10 µm) (dc—dorsal cirri, vc—ventral cirri, la—lateral antennae, tc—tentacular cirri, dndenticles, ac—anal cirri).
FIGURE 129 in Checklist of the marine and estuarine fishes of New Ireland Province, Papua New Guinea, western Pacific Ocean, with 810 new records
FIGURE 129. Amblyeleotris fontanesii (Bleeker 1853), Bagail Bay, Kavieng District, St. KVG19, 19 Aug. 2014 (underwater photograph: Serge Andréfouët).
FIGURE 2 in A catalogue and bibliography of non-marine (freshwater and estuarine) Rhodophyta (red algae) of India
FIGURE 2. Biogeographic Provinces (1-10) of India (After Rodgers & Panwar, 1988). 1. Trans-Himalayan (Tundra Valley, Lakes and Marshes); 2A. North-western Himalaya (Alpine); 2B. Western Himalaya (Temperate Coniferous); 2B. Eastern Himalaya; 2C. Central Himalaya (Temperate broadleaf); 3A. Desert Kutch (salt flats and scrub); 3B. Desert (The desert salt flats, grass and scrub); 4A. SemiArid (Dry deciduous and wetland); 4B. Semi-Arid (Dry deciduous and hilly, thorny, scrubland); 5A. Malabar Topical Forests (Evergreen moist deciduous and wetland); 5B. Western Ghats (Evergreen, moist deciduous Grasslands, montane forest, and wetland); 6A. Deccan Plateau (Dry deciduous and thorn forest); 6B. Central Plateau (Sub-tropical dry, and moist deciduous); 6C. Central Highlands (Sub-Tropical, dry and moist deciduous); 6D: Eastern Plateau (Sub-tropical and moist deciduous); 6E. Chhota Nagpur Plateau (Dry moist deciduous); 6F. Deccan South; 7. Gangetic Plain (Teral, Wetland and alluvial); 8. Northeast India (Alluvial, evergreen forest and wetland); 9. A &B. Andaman & Nicobar Islands (Evergreen forest, moist deciduous); 9C. Islands (Scrubland, and Coastal); 10A. West coast (Mangrove, brackish water and lagoon); 10B. East Coast (Mudflat and sandy, rocky littoral).
FIGURE 3. A in A catalogue and bibliography of non-marine (freshwater and estuarine) Rhodophyta (red algae) of India
FIGURE 3. A. Distribution of four freshwater taxa based both on morphological and molecular data. B. Distribution of six freshwater genera whose presence in India is provisional pending morphological and molecular data.
Data from: Consumer versus resource control and the importance of habitat heterogeneity for estuarine bivalves
The relative influence of consumers (top down) and resources (bottom up) on the distribution and abundance of organisms remains a key question in ecology. We examined the relationships between consumer and resource variables along a productivity gradient for a dominant predator–prey interaction in a marine soft-sediment system. We 1) quantified density and size of the clam Macoma balthica (prey species) in six replicate sites at each of four habitat types (shallow mud, deep mud, muddy sand and detrital mud) in the Rhode River, Chesapeake Bay. We selected one habitat type of high food availability and clam density (shallow mud) and another of low food availability and clam density (muddy sand) for manipulative experiments. Then, we 2) measured M. balthica survival and growth through transplants, 3) measured food availability as sedimentary organic carbon content, 4) quantified predator density, and 5) calculated predator foraging efficiency in the two habitat types. Clam density in the four habitat types differed and was related to sedimentary carbon availability and predator density. One of the habitats, detrital mud, appeared to be a population sink because it only held juvenile Macoma that never survived to reproductive age. Macoma size and growth, and predator (mainly blue crab Callinectes sapidus) densities were positively correlated with productivity and were higher in shallow mud than muddy sand. In contrast, Macoma mortality, local 'interaction strength', and predator foraging efficiency were lower in the productive habitat (shallow mud). Thus, predation intensity was inversely correlated with productivity (food availability); consumer and resource effects differed by habitat type; and, at a relatively small spatial scale, consumer and resource forces jointly determined population dynamics in this soft-sediment marine system.
FIGURES 10–19 in Syvertsenia iberica (Cymatosiraceae): a new estuarine diatom genus characterized by the position of its process
FIGURES 10–19. Syvertsenia iberica. SEM images from the holotype sample (GS1) from Guadiana Estuary, Spain. Fig. 10: General view of the interior of the process valve. Note the tubular process (white arrow) and the presence of two linearly opposed ocelluli. Fig. 11: Close up to the valve internal view. Fig. 12: Close up of the middle part of the valve. Note the areolae occlusions, tubular process (black arrowhead) and mantle expansion with an areolae (white arrow). Fig. 13: Close up of the tubular process and areolae in the mantle expansion. Fig 14: Close up to the marginal spines. Fig. 15: Close up to the valve face areolae, which present an approximated linear and equidistant distribution. Figs 16, 17: Close up to the ocellulus, external (black arrowhead, Fig. 16) and internal (white arrow, Fig. 16) showing the presence of porelli (note the presence of spines in an external view). Figs 18, 19: Close up to the opposite apex ocellulus external view, note the presence of spines within ocellulus (black arrowhead, Fig. 18). Fig. 10: Scale bar = 10 µm. Fig. 11: Scale bar = 5 µm. Figs 12, 15 and 19: Scale bar = 500 nm. Fig. 13: Scale bar = 250 nm. Fig. 14: Scale bar = 200 nm. Fig. 16: Scale bar = 2 µm. Figs 17, 18: Scale bar = 1 µm.
FIGURES 2–9 in Syvertsenia iberica (Cymatosiraceae): a new estuarine diatom genus characterized by the position of its process
FIGURES 2–9. Syvertsenia iberica. LM images. Figs 3–9: Specimens from the holotype slide. Figs 6, 7: Holotype specimen photographed in various techniques, note the presence of the tubular process on a mantle (arrow) Figs 8, 9: Same specimen photographed in various techniques. Figs 4–6 and 8: Phase contrast. Figs 7 and 9: Differential Interference Contrast. All scale bars = 10 µm.
FIGURE 1 in Syvertsenia iberica (Cymatosiraceae): a new estuarine diatom genus characterized by the position of its process
FIGURE 1. Study area: (A) Location in Iberia Peninsula, (B) Location in the lower area of the Guadiana Estuary and (C) Schematic representation of the sampling transect (elevation relative to the mean sea-level). Illustrations of Sarcocornia perennis (Miller) A. J. Scott (1977: 367) & Halimione portulacoides (L.) Aellen (1938: 126) by Tracey (2010) and Spartina maritima (Curtis) Fernald (1916: 180) by Saxby (2010).
Figure 2 in Little-known and phylogenetically obscure South African estuarine microgastropods (Mollusca: Truncatelloidea) as living animals
Figure 2. Field population density (numbers 0.1 m−2) of 'Assiminea' capensis in relation to those of (a) syntopic 'Hydrobia' knysnaensis at Armstrong and (b) syntopic 'A.' globulus at the three sampling heights at Woodbourne (error bars: ±1 SE).
Figure 4 in Little-known and phylogenetically obscure South African estuarine microgastropods (Mollusca: Truncatelloidea) as living animals
Figure 4. Faecal egestion of 'Assiminea' capensis: (i) at Armstrong (one outlier omitted) in relation to (a) its own ambient field density and (b) the density of syntopic 'Hydrobia' knysnaensis; and (ii) at Woodbourne in relation to (c) its own ambient field density and (d) the density of syntopic 'A.' globulus. Error bars: ±1 SE.
Figure 5 in Little-known and phylogenetically obscure South African estuarine microgastropods (Mollusca: Truncatelloidea) as living animals
Figure 5. Faecal egestion of (i) 'Hydrobia' knysnaensis at Armstrong in relation to (a) its own ambient field density and (b) the density of syntopic 'Assiminea' capensis; and (ii) of 'A.' globulus at Woodbourne in relation to (c) its own ambient field density and (d) the density of syntopic 'A.' capensis. Error bars: ±1 SE.
Figure 3 in Little-known and phylogenetically obscure South African estuarine microgastropods (Mollusca: Truncatelloidea) as living animals
Figure 3. Faecal egestion of 'Assiminea' capensis in relation to that of other truncatelloids syntopic with it within the same 0.0026 m2 area: (a) 'Hydrobia' knysnaensis at Armstrong (one outlier omitted) and (b) 'A.' globulus at Woodbourne.
Figure 1 in Little-known and phylogenetically obscure South African estuarine microgastropods (Mollusca: Truncatelloidea) as living animals
Figure 1. Map of the Knysna estuarine bay showing the region dominated by truncatelloid microgastropods and the individual sites from which data and test material of 'Assiminea' capensis, 'A.' globulus and 'Hydrobia' knysnaensis were collected: A = Rex; B = Armstrong; C = Woodbourne.
Figure 5 in Comparison of zooplankton community structure between impacted and non-impacted areas of Paranaguá Bay Estuarine Complex, south Brazil
Figure 5. Abundance of the main meroplanktonic taxa in Laranjeiras (stations 1 to 4) and Paranaguá (stations 5 to 8) bays, between August 2003 and June 2004.
Figure 4 in Comparison of zooplankton community structure between impacted and non-impacted areas of Paranaguá Bay Estuarine Complex, south Brazil
Figure 4. Abundance of the main holoplanktonic taxa (except for Copepoda) in Laranjeiras (stations 1 to 4) and Paranaguá (stations 5 to 8) bays, between August 2003 and June 2004. Note the different scales.
Figure 3 in Comparison of zooplankton community structure between impacted and non-impacted areas of Paranaguá Bay Estuarine Complex, south Brazil
Figure 3. Abundance of numerically dominant copepod species in Laranjeiras (stations 1 to 4) and Paranaguá (stations 5 to 8) bays, between August 2003 and June 2004. Note the different scales.
Figure 2 in Comparison of zooplankton community structure between impacted and non-impacted areas of Paranaguá Bay Estuarine Complex, south Brazil
Figure 2. Rainfall data, and mean temperature and salinity in the Paranaguá Bay Estuarine Complex, between August 2003 and June 2004. Error bars represent the standard deviation.
Figure 6 in Comparison of zooplankton community structure between impacted and non-impacted areas of Paranaguá Bay Estuarine Complex, south Brazil
Figure 6. Principal component analysis for temperature, salinity, rainfall data and phytoplankton abundance, and abundance of the main zooplankton taxa.
Figure 1 in Introduced and cryptogenic marine and estuarine species of South Africa
Figure 1. Biogeographic regions and transition zones of South Africa. Modified after Lombard (2004).
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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)
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.