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1,017 results for “freshwater fish”
2004 Estuarine Fish Sampling - Managing freshwater inflow to estuaries in northeast Puerto Rico
Historical data are often one of the only resources for documenting and assessing causes of environmental change, particularly in developing regions where funding for ecological studies is limited. In this study, previously unpublished data from a 1977 year-long study of the fish community of the Espiritu Santo estuary are presented. This dataset is among the oldest and most extensive surveys of a Caribbean island estuarine fish community. A comparison of these historical data with data collected in June and July 2004 using identical sampling methods allowed description of potential long-term changes in the fish community, identification of vulnerable species, and assessment of potential drivers of change. Results strongly suggest a decline in species richness and abundance in the Espiritu Santo estuarine fish community, with greater declines in freshwater-tolerant than marine or euryhaline species. Declines in freshwater inflow to the estuary, due to large-scale upstream water abstractions for municipal use, have increased since the initial 1977 survey. This is the first study to examine long-term change in the fish community of a tropical island estuary. Additional research and conservation efforts are needed to understand mechanisms of change and to protect Caribbean island estuarine fish communities. Chapter 2 (isotope and gut content data): The contribution of riverine-derived organisms and organic matter to four fishes along the salinity gradient in two Puerto Rican estuaries, the Espiritu Santo and Mameyes, was examined via stable isotope and gut content analyses. Stable isotope analyses indicated that riverine organic matter potentially contributed as much as 69% of the diet of one (caitipa mojarra, Diapterus rhombeus) of four fishes sampled. In contrast, riverine organic matter was of little direct importance to the three other fishes, tarpon snook (Centropomus pectinatus), ground croaker (Bairdiella ronchus), and white mullet (Mugil curema) contributing le
Çiçek et al: Freshwater Turkey Fish
Çiçek, Erdoğan, Sevil Sungur Birecikligil, and Ronald Fricke. "Freshwater fishes of Turkey; a revised and updated annotated checklist." Biharean Biologists 9, no. 2 (2015): 141-157.<p></p>
The raw data of Souma, Katano, Doi et al. "Comparing environmental DNA with whole pond survey to estimate the total biomass of fish species in ponds" in Freshwater Biology
<p>The raw data of Souma, Katano, Doi, Takahara, and Minamoto. "Comparing environmental DNA with whole pond survey to estimate the total biomass of fish species in ponds" in Freshwater Biology.</p>
Climate change threats to the global functional diversity of freshwater fish
<p>This dataset provides supplementary information for the paper entitled "Climate change threats to the global functional diversity of freshwater fish".</p> <p> </p> <p><strong>Fish trait data</strong></p> <p>fish_traits_removed.csv<br> - species with missing trait values were removed<br> - species coverage: 3,792</p> <p>fish_traits_imputed.csv<br> - missing trait values were imputed<br> - species coverage: 11,425</p> <p>Traits<br> - HLrel = relative head length<br> - BDrel = relative body depth<br> - Troph = trophic level<br> - K = relative growth rate</p> <p><br> <strong>Geospatial data</strong></p> <p>Files<br> Data under the assumption of no dispersal<br> - SR.tif: species richness<br> - FRic.tif: functional richness<br> - FEve.tif: functional evenness<br> - FDiv.tif: functional divergence<br> - FRic_loss.tif: functional richness loss<br> - FEve_loss.tif: functional evenness loss<br> - FDiv_loss.tif: functional divergence loss</p> <p>Data under the assumption of maximal dispersal<br> - SR_dispersal.tif: species richness<br> - FRic_dispersal.tif: functional richness<br> - FEve_dispersal.tif: functional evenness<br> - FDiv_dispersal.tif: functional divergence<br> - FRic_loss_dispersal.tif: functional richness loss<br> - FEve_loss_dispersal.tif: functional evenness loss<br> - FDiv_loss_dispersal.tif: functional divergence loss</p> <p>Layers<br> - imp_*: missing trait values were imputed<br> - rem_*: species with missing trait values were removed<br> - *_hist: historical reference scenario<br> - *_1p5: warming level of 1.5°C<br> - *_2p0: warming level of 2.0°C<br> - *_3p2: warming level of 3.2°C<br> - *_4p5: warming level of 4.5°C</p> <p>Spatial resolution: 0.08333333, 0.08333333 (x, y)<br> Spatial extent: -180, 180, -60, 85 (xmin, xmax, ymin, ymax)<br> Coordinate reference system: WGS84</p>
Fig. 6 in Plasticity in the shape and growth pattern of asteriscus otolith of black prochilodus Prochilodus nigricans (Teleostei: Characiformes: Prochilodontidae) freshwater Neotropical migratory fish
Fig. 6. Regressions between radius of each increments and increments growth estimated in Prochilodus nigricans from Solimões (red), Japurá (blue) and Negro (black) Amazon Basin, Brazil.
Fig. 5 in Plasticity in the shape and growth pattern of asteriscus otolith of black prochilodus Prochilodus nigricans (Teleostei: Characiformes: Prochilodontidae) freshwater Neotropical migratory fish
Fig. 5. Canonical variate analysis of the organized data of the analysis cluster. Representation the four different morphotypes of asteriscus otoliths of Prochilodus nigricans. (red cross) Morphotype 3; (blue square) Morphotype 2; (purple asterisk) Morphotype 4; (green ex) Morphotype 1.
Fig. 4 in Plasticity in the shape and growth pattern of asteriscus otolith of black prochilodus Prochilodus nigricans (Teleostei: Characiformes: Prochilodontidae) freshwater Neotropical migratory fish
Fig. 4. Four morphotype asteriscus otolith Prochilodus nigricans established by cluster analysis from the amplitudes of wavelets. a. morphotype 1; b. morphotype 2; c. morphotype 3 and d. morphotype 4 respectively, sampled of rivers Solimões, Japurá and Negro. Scale bars: 1 mm.
Fig. 1 in Plasticity in the shape and growth pattern of asteriscus otolith of black prochilodus Prochilodus nigricans (Teleostei: Characiformes: Prochilodontidae) freshwater Neotropical migratory fish
Fig. 1. Partial map of the Amazon basin showing the study area where Prochilodus nigricans were collected. Rivers: Solimões, Japurá and Negro, Brazil.
Fig. 3 in Defining the reproductive period of freshwater fish species using the Gonadosomatic Index: a proposed protocol applied to ten species of the Patos Lagoon basin
Fig. 3. Monthly variation of Cyphocharax voga GSI values (adult females only) in Guaíba Lake (white) and Casamento Lake (dark gray), Rio Grande do Sul, Brazil (median, 25- 75% quartiles and lower-upper GSI limits by month and site). Three GSI cut-off values were tested with respect to the maximum GSI recorded for each species, for delimitation of reproductive months: 20% (G20), 30% (G30) and 40% (G40).
Fig. 5 in Defining the reproductive period of freshwater fish species using the Gonadosomatic Index: a proposed protocol applied to ten species of the Patos Lagoon basin
Fig. 5. Monthly variation of Oligosarcus jenynsii GSI values (adult females only) in Guaíba Lake (white) and Casamento Lake (dark gray), Rio Grande do Sul, Brazil (median, 25- 75% quartiles and lower-upper GSI limits by month and site). Three GSI cut-off values were tested with respect to the maximum GSI recorded for each species, for delimitation of reproductive months: 20% (G20), 30% (G30) and 40% (G40).
Fig. 2 in Defining the reproductive period of freshwater fish species using the Gonadosomatic Index: a proposed protocol applied to ten species of the Patos Lagoon basin
Fig. 2. Monthly variation of Astyanax fasciatus GSI values (adult females only) in Guaíba Lake (white) and Casamento Lake (dark gray), Rio Grande do Sul, Brazil (median, 25- 75% quartiles and lower-upper GSI limits by month and site). Three GSI cut-off values were tested with respect to the maximum GSI recorded for each species, for delimitation of reproductive months: 20% (G20), 30% (G30) and 40% (G40).
Fig. 4 in Photo-identification as a technique for recognition of individual fish: a test with the freshwater armored catfish Rineloricaria aequalicuspis Reis & Cardoso, 2001 (Siluriformes: Loricariidae)
Fig. 4. Percentage of correct matches (a) and expended minutes (b) between naked-eye and computer-assisted field test photo-identification for individual recognition of Rineloricaria aequalicuspis (n = 9). Boxplots show median (central thicker line), first and third quartile (box limits), 95% confidence interval of median (whiskers), and outliers.
Fig. 3 in Photo-identification as a technique for recognition of individual fish: a test with the freshwater armored catfish Rineloricaria aequalicuspis Reis & Cardoso, 2001 (Siluriformes: Loricariidae)
Fig. 3. Variation in number, shape, size and organization of the bony plates covering the abdominal surface of six different Rineloricaria aequalicuspis individuals with more than 10 cm total length. These are examples of photographs taken during the field test. (a) 175 mm TL; (b) 138 mm TL; (c) 156 mm TL; (d) 145 mm TL; (e) 141 mm TL; (f) 151 mm TL.
Fig. 2 in Photo-identification as a technique for recognition of individual fish: a test with the freshwater armored catfish Rineloricaria aequalicuspis Reis & Cardoso, 2001 (Siluriformes: Loricariidae)
Fig. 2. Diagram showing the steps employed to assess the performance of photo-identification technique in laboratory (a) and field (b) conditions for Rineloricaria aequalicuspis.
Fig. 1 in Photo-identification as a technique for recognition of individual fish: a test with the freshwater armored catfish Rineloricaria aequalicuspis Reis & Cardoso, 2001 (Siluriformes: Loricariidae)
Fig. 1. Lateral, dorsal and ventral views of a Rineloricaria aequalicuspis individual (110 mm TL). Ventral view shows the arrangement of the abdominal plates. Photograph courtesy of L. R. Malabarba.
Data and code: Microgeographic variation in demography and thermal regimes stabilize regional abundance of a widespread freshwater fish
<p>Predicting the persistence of species under climate change is an increasingly important objective in ecological research and management. However, biotic and abiotic heterogeneity can drive asynchrony in population responses at small spatial scales, complicating species-level assessments. For widely distributed species consisting of many fragmented populations, such as brook trout (<em>Salvelinus fontinalis</em>), understanding drivers of asynchrony in population dynamics can improve predictions of range-wide climate impacts. We analyzed demographic time-series from mark-recapture surveys of eleven natural brook trout populations in eastern Canada over 13 years to examine the extent, drivers, and consequences of fine-scale population variation. The focal populations were genetically differentiated, occupied a small area (~25 km<sup>2</sup>) with few human impacts, and experienced similar climate conditions. Recruitment was highly asynchronous, weakly related to climate variables, and showed population-specific relationships with other demographic processes, generating diverse population dynamics. In contrast, individual growth was mostly synchronized among populations and driven by a shared positive relationship with stream temperature. Outputs from population-specific models were unrelated to four of five hypothesized drivers (recruitment, growth, reproductive success, phylogenetic distance), but variation in groundwater inputs strongly influenced stream temperature regimes and stock-recruitment relationships. Finally, population asynchrony generated a portfolio effect that stabilized regional species abundance. Our results demonstrate that population demographic and habitat diversity at microgeographic scales can play a significant role in moderating species responses to climate change. Moreover, we suggest that the absence of human activities within study streams preserved natural habitat variation and contributed to asynchrony in brook trout abundance, while the small study area eased monitoring and increased the likelihood of detecting asynchrony. Therefore, anthropogenic habitat degradation, landscape context, and spatial scale must be considered when developing management strategies to monitor and maintain populations that are diverse, stable, and resilient to climate change.</p>
F I G U R E 4 in Environmental correlates of adaptive diversification in postglacial freshwater fishes
F I G U R E 4 Visual representation of trends in ecomorph number based on phosphorus concentration (μg L 1). Data from Landry et al. (2007) and Siwertsson et al. (2010). Graph plotted in R using the ggplot2 package (Wickham, 2016).
F I G U R E 1 in Environmental correlates of adaptive diversification in postglacial freshwater fishes
F I G U R E 1 Conceptual diagram of the different components examined in this paper and how they may relate to origins and maintenance of sympatric divergent ecomorphs. Created with BioRender.com.
F I G U R E 5 in Environmental correlates of adaptive diversification in postglacial freshwater fishes
F I G U R E 5 Visual representation of trends in ecomorph number based on the number of fish species present in a lake, other than the diversifying species pairs/groups. Data from Siwertsson et al. (2010), Vamosi (2003), and Öhlund et al. (2020). Graph plotted in R using the ggplot2 package (Wickham, 2016).
F I G U R E 3 in Environmental correlates of adaptive diversification in postglacial freshwater fishes
F I G U R E 3 Visual representation of trends in ecomorph number based on bathymetric traits. (a) Lake surface area (km2). Data from Bolnick and Lau (2008), Gordeeva et al. (2015), Lucek et al. (2016), Öhlund et al. (2020), Siwertsson et al. (2010), and Vamosi (2003). (b) Lake maximum depth (m). Data from Gordeeva et al. (2015), Landry et al. (2007), Öhlund et al. (2020), and Siwertsson et al. (2010). Box plots indicate median and interquartile range. Note that the y-axes in graphs consist of untransformed data but are plotted on logarithmic scales due to the large range in reported values for these variables. Graphs plotted in R using the ggplot2 package (Wickham, 2016).
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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.