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435 results for “Stream fish”
Fig. 2 in Biology and ecomorphology of stream fishes from the rio Mogi-Guaçu basin, Southeastern Brazil
Fig. 2. General view of the three studied stretches in the Paulicéia stream, Mogi-Guaçu River basin; a) upper stretch, b) middle stretch and c) lower stretch.
Fig. 6 in Biology and ecomorphology of stream fishes from the rio Mogi-Guaçu basin, Southeastern Brazil
Fig. 6. Frequency of the reproductive stages found in each month to A. paranae in the Paulicéia stream.
Fig. 1 in Biology and ecomorphology of stream fishes from the rio Mogi-Guaçu basin, Southeastern Brazil
Fig. 1. Location of the study area in the Paulicéia stream, Mogi-Guaçu River basin, State of São Paulo, Brazil; upper (21º38'45.8"S 47º38'06"W), middle (21º39'23"S 47º38'34"W) and lower (21º40'58.1"S 47º39'26.3"W) stretches.
Fig. 4 in Biology and ecomorphology of stream fishes from the rio Mogi-Guaçu basin, Southeastern Brazil
Fig. 4. Percent composition of the gut contents of the fish species with the food items grouped in the following broad categories: the autochthonous - Al = algae, An = anelideos, Mi = micro-crustaceans, Te = thecamoebas, Fi = fishes and fish scales, Ai = aquatic insects; and the allochthonous - Ti = terrestrial insects, Ar = Arachnidae, Om = organic matter and Vp = debris of vascular plants.
Fig. 9 in Biology and ecomorphology of stream fishes from the rio Mogi-Guaçu basin, Southeastern Brazil
Fig. 9. Sexual proportion of males and females of Hisonotus sp. for each size intervals of the standard length.
Fig. 1. A in Integrity of fluvial fish communities is subject to environmental gradients in mountain streams, Sierra de Aroa, north Caribbean coast, Venezuela
Fig. 1. A: The Aroa River basin. The Yurubí National Park (YNP) is indicated by the shaded polygon. B: each circle indicates one or more sample localities. The white circles denoted tributaries in group 1 (G1) and black circles are tributaries in group 2 (G2).
Fig. 5. Relationships between the PCA 1 and CCA 1 in Integrity of fluvial fish communities is subject to environmental gradients in mountain streams, Sierra de Aroa, north Caribbean coast, Venezuela
Fig. 5. Relationships between the PCA 1 and CCA 1 axes with the species richness and rivers stations. The richness (A) was moderately explained, but the multivariate (B) and canonical (C) analyses showed functional relationships with the geographical location of the rivers.
Fig. 4 in Riffle and pool fish communities in a large stream of southeastern Brazil
Fig. 4. Multidimensional scaling plot of Hypostomus hermani abundance in the riffle reach showing its predominance (shown by circle size) during the high-waters. Each symbol represents a month.
Fig. 3 in Riffle and pool fish communities in a large stream of southeastern Brazil
Fig. 3. Multidimensional scaling plot based on species abundance data in the riffle (a) and pool reaches (b) according to low and high-waters level. Each symbol represents a month.
Fig. 1 in Riffle and pool fish communities in a large stream of southeastern Brazil
Fig. 1. Model of species abundance for each mesohabitat studied in the ribeirão Santa Bárbara, southeastern Brazil.
Figure 1 in Length-weight relationship, sex ratio, and diet of three fish species (Actinopterygii: Teleostei) in streams of the Pomba River basin, Paraíba do Sul river drainage, Southeastern Brazil
Figure 1. Volumetric frequency (Vi%) of food items identified in the diet of D. intermedius (A), A. paraibae (B) and H. punctatus (C) in streams in the Pomba River basin, Brazil, from October to December 2018.
Fluvial geomorphic evolution and stream fish community trajectories in the Bayou Pierre, Mississippi
<p>Changing environments place stresses on ecosystems, and are contributing to widespread losses of biodiversity and ecosystem function. Comparisons of historical and contemporary data offer considerable utility in understanding how ecosystems respond to, adapt to, or recover from changing environments. Stream fishes offer a particularly interesting study system for this topic, as streams are naturally dynamic environments and human needs have placed increasing pressure on aquatic systems. The effects of fine sediments on stream fishes and aquatic ecosystems more broadly have been well studied. Yet studies from fluvial geomorphology have resulted in models of watershed morphological evolution which encompass far broader processes and changes to aquatic systems. Our dataset integrates a fluvial geomorphic approach to characterize stream channel and habitat evolution over a four decade period in the Bayou Pierre, Mississippi, an ecological approach to study related change in stream fish communities in the same watershed, and analyses linking the two. Fluvial geomorphic processes were characterized both from remote sensing data sources for historic and contemporary time periods, and local fish habitat data for contemporary time periods. Historical fish community data were extracted from museum records, and contemporary fish community data were collected via sampling for fishes at the same localities as historic efforts using similar methods.</p>
Fluvial geomorphic evolution and stream fish community trajectories in the Bayou Pierre, Mississippi
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Decade-scale stream morphology and stream fish community structure in headwater streams draining Mississippi's National Forests
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Seasonal surveys of fish abundance and diversity in streams of central, eastern, and southern Arizona, USA (2016-2019)
Fish communities in desert streams are shaped by both the long-term selective pressures of streamflow regimes and the short-term effects of floods and droughts. Between spring 2016 and spring 2019 we conducted seasonal sampling of nine streams across the state of Arizona, USA on a gradient of flow regime variability. We calculated populations size for each species at all surveys to analyze seasonal and long-term variations in fish community composition. We additionally used the data to calculate annual rates of fish biomass production. This data set includes the raw catch data from three pass depletion electrofishing, population size estimates at each season, sampling locations, and the USGS stream gauges we used to obtain streamflow data.
Fish collections at Coweeta LTER 100 m stream sites from 1991 to 1998
We monitored fish populations at three sites in a southern Appalachian stream system during a 40-month study. Electro-fishing was performed biannually in spring (May) and late summer(Aug-Oct), to assess stream fish populations, production and recruitment in the LTER 100m sites: Coweeta Creek, Lower Ball Creek, and Upper Ball Creek. These data will be used with habitat availability estimates recorded during the same time periods to see if fish assemblages structure and production of species differ along the gradient in concordance with changing abundance of patch types.
Mesoscale variation in fish populations in two small Appalachian streams (fish population data) at the Coweeta Hydrologic Laboratory in 1996
We examined the reach-scale distributions of three fish species to determine which biotic and abiotic factors are influential in the fishes distributions.
Mesoscale variation in fish populations in two small Appalachian streams (light data) at the Coweeta Hydrologic Laboratory in 1996
We examined the reach-scale distribution of macroinvertebrates to determine if photosynthetically active radiation (PAR) is influential in the distribution of the macroinvertebrates and macroinvertebrate functional feeding groups.
Microhabitat use in a stream fish assemblage
We quantified microhabitat use by members of a southern Appalachian stream fish assemblage over a ten-year period that included both floods and droughts. Our study site (37 m in length) encompassed riffle, run and pool habitats. Previous research indicated that species belonged to either benthic or water-column microhabitat guilds. We examined microhabitat use among fishes in a 37 m section of Coweeta Creek, NC., over a ten-year period (1983-1992) that included both floods and droughts. Multivariate comparison using Principal Component analysis of fish use data was contrasted with habitat availability.
Stream fish assemblage stability in a southern Appalachian stream at the Coweeta Hydrologic Laboratory from 1984 to 1995
Stream fish abundance data was collected seasonally in three 30m sections of stream from 1984 to 1995. Population estimates were obtained using electrofishing (3 pass removal). Habitat availability measurements were recorded biannually along with the electrofishing data starting in fall 1988. Data was collected each fall and spring from 1988-1995, in order to examine changes in fish assemblage structure along the habitat gradient. We used strong inference with Akaike’s Information Criterion (AIC) to assess the processes capable of explaining long-term (1984–1995) variation in the per capita rate of change of mottled sculpin (Cottus bairdi) populations in the Coweeta Creek drainage (USA). We sampled two fourth- and one fifth-order sites (BCA [uppermost], BCB, and CC [lowermost]) along a downstream gradient, and the study encompassed extensive flow variation.
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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.