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Fig. 3 in Alien freshwater fish parasites from South Africa: Diversity, distribution, status and the way forward
Fig. 3. Maps indicating the South African distribution records for (A) Atractolytocestus huronensis Anthony, 1958; (B) Acolpenteron ureteroecetes Fischthal and Allison, 1940; (C) Dactylogyrus extensus Mueller and Van Cleave, 1932, Dactylogyrus minutus Kulwiec, 1927 and Dactylogyrus lamellatus Achmerow, 1952; (D) Gyrodactylus kherulensis Ergens, 1974.
Fig. 1 in Alien freshwater fish parasites from South Africa: Diversity, distribution, status and the way forward
Fig. 1. Maps indicating the South African distribution records for (A) Ichthyophthirius multifiliis Fouquet, 1876; (B) Apiosoma piscicola (Blanchard, 1885); (C) Chilodonella hexasticha (Kiernik, 1909) and Chilodonella piscicola (Zacharias, 1894); (D) Schyzocotyle (Bothriocephalus) acheilognathi (Yamaguti, 1934).
Fig. 2 in Alien freshwater fish parasites from South Africa: Diversity, distribution, status and the way forward
Fig. 2. Maps indicating the South African distribution records for (A) Lernaea cyprinacea Linnaeus, 1758; (B) Argulus japonicus Thiele, 1900; (C) Ichthyobodo necator Henneguy, 1883 (needs molecular confirmation); (D) Trichodina acuta Lom, 1961, Trichodina mutabilis Kazubski and Migala, 1968, Trichodina reticulata Hirschmann and Partsch, 1955, and Trichodina uniforma Van As and Basson, 1989.
Fig. 1 in Phylogenetic position of the freshwater fish trypanosome, Trypanosoma ophiocephali (Kinetoplastida) inferred from the complete small subunit ribosomal RNA gene sequence
Fig. 1 The neighbor-joining tree of aquatic trypanosomes constructed from complete small subunit ribosomal RNA (SSrRNA) sequences indicating the systematic position of T. ophiocephali and phylogenetic relationships among the aquatic trypanosomes whose sequences are available. T. lewisi, T. theileri, and T. avium are taken as the outgroup. Bootstrap values are shown for the maximum parsimony/neighborjoining/Bayes analyses
Data from: Hydrology induces intraspecific variation in freshwater fish morphology under contemporary and future climate scenarios
<p>Datasets for manuscript "Andres, K. J., Chien, H., and Knouft, J. H. Hydrology induces intraspecific variation in freshwater fish morphology under contemporary and future climate scenarios. Science of the Total Environment. <a href="https://doi.org/10.1016/j.scitotenv.2019.03.292">https://doi.org/10.1016/j.scitotenv.2019.03.292</a>"</p> <p>landmarks.zip: landmarks digitized on images of 1081 specimens using TpsDig2 software.</p> <p>streamflow_estimates.csv: Contemporary (1980-2009) and future (2070-2099) streamflow estimates [avg: average annual streamflow discharge (m3 s-1); cv: coefficient of variation of annual discharge] in sub-basins containing populations of 6 minnow species in IL, USA</p>
Figure 2 in DNA barcoding of freshwater fish from different drainage systems of Telangana in Southern India
Figure 2. Neighbour-joining phylogeny of the studied fish species depicting distinctive species clades corresponding to the morphospecies. Scale bar corresponds to the length of clade from each node.
Figure 1 in DNA barcoding of freshwater fish from different drainage systems of Telangana in Southern India
Figure 1. Map of the study area depicting the drainage systems marked by blue line, and the sampling locations marked by orange triangle shape.
Figure 2 in Trichodinid fauna of freshwater fishes with infestation indices in the Lower Kızılırmak Delta in Turkey and a checklist of trichodinids (Ciliophora: Trichodinidae) in Turkish waters
Figure 2. Trichodinid parasites identified on Lower Kızılırmak Delta fishes: A) T. lepsii, B) T. puytoraci, C) T. domerguei, D) T. heterodentata, E) Paratrichodina corlissi, F) T. domerguei, G) T. modesta, H) Tripartiella macrosoma, I) T. acuta, J) T. lucioperca, K) T. tenuidens, L) Trichodina sp1, M) T. cobitis, N) Trichodina sp2, O) Trichodina sp3.
Figure 2 in Standard weight equations of two sub-/tropic nonnative freshwater fish, Clarias gariepinus and Oreochromis niloticus, in the Sakarya River Basin (NW Turkey)
Figure 2. Distribution of the residuals used to investigate potential length-bias in the standard weight (W ) equation for C. gariepinus (a) and O. niloticus (b) from the s Sakarya River Basin (residuals = standardized residuals of the regression; fitted values = values obtained by the model fit).
Figure 1 in Standard weight equations of two sub-/tropic nonnative freshwater fish, Clarias gariepinus and Oreochromis niloticus, in the Sakarya River Basin (NW Turkey)
Figure 1. Area of collection of the data (black rectangle = Sakarya River Basin; yellow dots = locations of the field stations within the Sakarya River Basin) (courtesy of Google Earth).
Figure 6 in Investigations of the nervous system biomarkers in the brain and muscle of freshwater fish (Oreochromis niloticus) following accumulation of nanoparticles in the tissues
Figure 6. TEM images of brain tissue sample of fish (O. niloticus) exposed to 1 (A and B), 5 (C and D), and 25 (E and F) mg/L of CuO NPs for 14 days of uptake and 14 days of depuration periods, respectively.
Figure 10 in Investigations of the nervous system biomarkers in the brain and muscle of freshwater fish (Oreochromis niloticus) following accumulation of nanoparticles in the tissues
Figure 10. The mean ATPase activity and associated standard errors in the brain of O. niloticus exposed to Al2 O 3 (a), CuO (b), and TiO2 NPs for 14 days (n = 6). See Figure 8 for detail.
Figure 5 in Investigations of the nervous system biomarkers in the brain and muscle of freshwater fish (Oreochromis niloticus) following accumulation of nanoparticles in the tissues
Figure 5. TEM images of brain tissue sample of fish (O. niloticus) exposed to 1 (A and B), 5 (C and D), and 25 (E and F) mg/L of Al2 O 3 NPs for 14 days of uptake and 14 days of depuration periods, respectively.
Figure 9 in Investigations of the nervous system biomarkers in the brain and muscle of freshwater fish (Oreochromis niloticus) following accumulation of nanoparticles in the tissues
Figure 9. The mean Ca-ATPase activity and associated standard errors in the muscle of O. niloticus. See Figure 8 for details.
Figure 3 in Investigations of the nervous system biomarkers in the brain and muscle of freshwater fish (Oreochromis niloticus) following accumulation of nanoparticles in the tissues
Figure 3. TEM images of muscle tissue sample of fish (O. niloticus) exposed to 1 (A and B), 5 (C and D), and 25 (E and F) mg/L of CuO NPs for 14 days of uptake and 14 days of depuration periods, respectively.
Figure 2 in Microplastics in commercial fish digestive tracts from freshwater habitats in Northern Thailand
Figure 2. Examples of fish species collected and some of the microplastic items found in these species.
Figure 1 in Microplastics in commercial fish digestive tracts from freshwater habitats in Northern Thailand
Figure 1. Location of fish sampling; upper Ban Tam stream (ST1, 19.218890, 99.752027, 528 m a.s.l.), middle Ban Tam stream (ST2, 19.232346, 99.765564, 481 m a.s.l.), Kwan Phayao reservoir (ST3, 19.120415, 99.946195, 391 m a.s.l.), and Nong Leng Sai reservoir (ST4, 19.391076, 99.819014, 398 m a.s.l.).
Figure 7 in Microplastics in commercial fish digestive tracts from freshwater habitats in Northern Thailand
Figure 7. Comparison of abundance of plastics among fishes from different habit groups (herbivorous, carnivorous, omnivorous, and scavenger).
Figure 6 in Microplastics in commercial fish digestive tracts from freshwater habitats in Northern Thailand
Figure 6. Pearson correlation between fish body weight and length and MP abundance of fish samples (n=166). Linear regression analysis for number of microplastic with fish body weight (a), and body length.
Figure 3 in Microplastics in commercial fish digestive tracts from freshwater habitats in Northern Thailand
Figure 3. Abundance of microplastics in the digestive tract of fish species collected from freshwater habitats in northern Thailand.
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.