Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
90
datasets available to search
ShareScore release 0.9.0
Dataset results
90 results for “Prochilodus”
FIGURES 5–11 in A new species of Anacanthoroides and redescription of Apedunculata discoidea (Monogenoidea) parasitizing Prochilodus argenteus (Actinopterygii) from the São Francisco River, Brazil
FIGURES 5–11. Apedunculata discoidea from 'curimatã-pacú', Prochilodus argenteus from the São Francisco River, Brazil, in ventral view (5) Whole mount (composite). (6) Ventral bar (7) Dorsal bar. (8) Ventral anchor. (9) Dorsal anchor. (10) Copulatory complex. (11) Hook. Scale = 70 µm (1) and 25 µm (6–11).
FIGURES 1–4. Anacanthoroides sanctifrancisci n in A new species of Anacanthoroides and redescription of Apedunculata discoidea (Monogenoidea) parasitizing Prochilodus argenteus (Actinopterygii) from the São Francisco River, Brazil
FIGURES 1–4. Anacanthoroides sanctifrancisci n. sp. from 'curimatã-pacú', Prochilodus argenteus from the São Francisco River, Brazil, in ventral view. (1) Whole mount (composite). (2) Copulatory complex. (3) Hook. (4) Reduced hook. Scale = 150 µm (1) and 15 µm (2–4).
Data from: Response of Prochilodus nigricans to flood pulse variation in the central Amazon
Open the record for dataset details and reuse information.
Fig. 3 in Upstream and downstream migration speed of Prochilodus costatus (Characiformes: Prochilodontidae) in upper São Francisco basin, Brazil
Fig. 3. Comparison of average up-river migration speed of Prochilodus costatus in a. males and females, b. river stretches for fish captured in the Pará River, c. fish captured in the Pará River and São Francisco River in S2, and d. migration intervals in S2. Bars represent the standard deviation. Different letters denote statistically significant differences in migration speed. S1 and S2: river stretches.
Fig. 1 in Upstream and downstream migration speed of Prochilodus costatus (Characiformes: Prochilodontidae) in upper São Francisco basin, Brazil
Fig. 1. Map of the São Francisco River watershed, Minas Gerais, Brazil detailing the study area in the upper part of the basin. CSF and CPA: capture/release points at São Francisco and Pará rivers; T1–T3: telemetry stations; S1 and S2: river stretches. The length of river stretch is shown in river km.
Fig. 4 in Upstream and downstream migration speed of Prochilodus costatus (Characiformes: Prochilodontidae) in upper São Francisco basin, Brazil
Fig. 4. Comparison of average downstream migration speeds of Prochilodus costatus in the São Francisco River between a. males and females, b. river stretches, and c. fish captured in the Pará River and São Francisco River in S2. Bars represent the standard deviation. Different letters denote significant differences in migration speed. S1 and S2: river stretches.
Fig. 2 in Upstream and downstream migration speed of Prochilodus costatus (Characiformes: Prochilodontidae) in upper São Francisco basin, Brazil
Fig. 2. Distribution of migration speed (km d-1) of Prochilodus costatus in a. up and b. downstream migration of tagged fish.
Fig. 5 in Upstream and downstream migration speed of Prochilodus costatus (Characiformes: Prochilodontidae) in upper São Francisco basin, Brazil
Fig. 5. Correlation between the rank order of individual migration speeds between stretch 1 (S1) and stretch 2 (S2). r2 value = 0.214.
Fig. 5 in Do different sampling designs produce differences in the metrics of curimba, Prochilodus lineatus (Characiformes: Prochilodontidae)?
Fig. 5. Relationship between standard length (SL) and capture distance for curimba at fixed and variable sampling sites of Volta Grande (VGR) and Jaguara (JR) reservoirs.
Fig. 1 in Do different sampling designs produce differences in the metrics of curimba, Prochilodus lineatus (Characiformes: Prochilodontidae)?
Fig. 1. Maps of the regional location of the study area (1), of Grande River (2) and Volta Grande (3) and Jaguara (4) reservoirs, indicating the zones of the reservoirs (A, B and C) and fixed (diamond) and variable (black circle) sampling sites.
Fig. 2 in Do different sampling designs produce differences in the metrics of curimba, Prochilodus lineatus (Characiformes: Prochilodontidae)?
Fig. 2. Catch per unit effort (CPUE) of curimba for fixed and variable sampling sites by zone of Volta Grande (VGR) and Jaguara (JR) reservoirs.
Fig. 3 in Plasticity in the shape and growth pattern of asteriscus otolith of black prochilodus Prochilodus nigricans (Teleostei: Characiformes: Prochilodontidae) freshwater Neotropical migratory fish
Fig. 3. Cluster analysis based on the euclidean distances of the wavelet functions by shape analysis of asteriscus otoliths Prochilodus nigricans between rivers. S (Solimões); J (Japurá) and N (Negro).
Fig. 2 in Plasticity in the shape and growth pattern of asteriscus otolith of black prochilodus Prochilodus nigricans (Teleostei: Characiformes: Prochilodontidae) freshwater Neotropical migratory fish
Fig. 2. Canonical variate analysis of the first 5 PC compo- nents and fish length data of the Prochilodus nigricans for all localities, with 95% confidence. Solimões (blue); Japurá (red) and Negro (green).
Fig. 5 in Otolith morphometry provides length and weight predictions and insights about capture sites of Prochilodus lineatus (Characiformes: Prochilodontidae)
Fig. 5. Analysis of variance between the length and weight of otolith of Prochilodus lineatus in the three rivers sampled (Baía, Ivinhema and Paraná).
Fig. 2 in Otolith morphometry provides length and weight predictions and insights about capture sites of Prochilodus lineatus (Characiformes: Prochilodontidae)
Fig. 2. Lapillus otolith images of Prochilodus lineatus from a scanning electron microscope with 40X magnification. LO – otolith length; WO – otolith width; the white bar scale is equal to 1 mm. V – Ventral; D – Dorsal, P – Posterior; A – Anterior; the highlighted region (grey region – highlighted digitally) is the macular hump.
Fig. 4 in Otolith morphometry provides length and weight predictions and insights about capture sites of Prochilodus lineatus (Characiformes: Prochilodontidae)
Fig. 4. Fits between lapillus otolith measures and the weight of Prochilodus lineatus: a. Otolith Length (r2 = 0.85) and b. Otolith Weight (r2 = 0.78); the shaded area represents the confidence interval of 95% of the estimate; loess fit of raw residuals are in right panels.
Fig. 3 in Divergence in energy sources for Prochilodus lineatus (Characiformes: Prochilodontidae) in Neotropical floodplains
Fig. 3. δ13C values of food sources (A to D) and of P. lineatus (E). The box-whisker-plots show the lower and upper quartile (25% - 75%), median (□), minimum and maximum (vertical bars). The small letters represent significant differences between the components studied in Paraná, Baía and Ivinheima subsystems of the floodplain of the Upper Paraná River (n = number of samples).
Fig. 7 in Population dynamics of Prochilodus nigricans (Characiformes: Prochilodontidae) in the Putumayo River
Fig. 7. Standard length-converted catch curves (SL) and mortality estimates for Prochilodus nigricans females (a), males (b) and all individuals (sexed and unsexed) combined (c) calculated from the von Bertalanffy growth function parameters at a mean temperature of 27°C. Z, M and F represent the instantaneous rates of total, natural and fishing mortality, respectively. E is the exploitation rate (E = F.Z-1). Black dots = data points in the curve on which the regression was fitted.
Fig. 6 in Population dynamics of Prochilodus nigricans (Characiformes: Prochilodontidae) in the Putumayo River
Fig. 6. Standard length at first sexual maturity for males (black dots) and females (white circles) of Prochilodus nigricans in the Putumayo River.
Fig. 5 in Population dynamics of Prochilodus nigricans (Characiformes: Prochilodontidae) in the Putumayo River
Fig. 5. Standard length frequency histograms and the corresponding von Bertalanffy growth function for females (a) and males (b) between January 2015 and April 2017 and for all individuals (sexed and unsexed) combined of Prochilodus nigricans in the Putumayo River between 2009 and 2017 (c-f).
ScienceDex guides
Understand access before you commit
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.