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302 results for “Microplastics”
Fig. 3 in Transportation of microplastic during high-flow and low-flow seasons in southeastern Black Sea: A modelling approach
Fig. 3 — Snapshots of microplastic distribution on southeastern Black Sea in high-flow (S1, S2, and S3) and low-flow (S4, S5, and S6)
Data from: Impacts of weathered microplastic ingestion on gastrointestinal microbial communities and health endpoints in fathead minnows (Pimephales promelas)
<p>Microplastics are a ubiquitous presence in the world's aquatic environments and their threat to aquatic biota is poorly understood, especially in freshwater ecosystems. In the environment, microbial biofilms can form on the surface of microplastics, and these plastics have the potential to adsorb harmful toxins. Because lab-based studies on microplastics are often conducted with clean polymers, in ecologically unrealistic conditions and concentrations, the impact of these weathered microplastics on aquatic organisms in ecologically realistic conditions is still unclear. To help address the need for ecologically relevant microplastic exposure data, we incubated 500 μm polyethylene microplastic beads in Muskegon Lake, Michigan, USA and used them to conduct a 28-day ingestion study with male and female fathead minnows (<em>Pimephales promelas</em>). We examined the effects of microplastic ingestion on the fish gut microbial community along with hepatic gene expression and health parameters. We found that microplastic ingestion had statistically significant impacts on growth in male fathead minnows. Microplastic treatment did not significantly alter the beta diversity of the gut microbial community for either males or females, but there were clear differences between sexes and over time, indicating that these factors may outweigh the impacts of microplastic ingestion on beta diversity in the gut. The expression of immune response genes was not altered in males. It did, however, cause some changes to alpha diversity metrics in both sexes and there were several differentially abundant taxa among treatments. These data suggest that microplastic ingestion has health effects, but these effects may be sex specific across certain species and they are likely not being solely driven by changes in gut microbial communities.</p>
Figure 4 in Phytoplankton Exopolymers Enhance Adhesion of Microplastic Particles to Submersed Surfaces
Figure 4. Gating of the total (Bac) and high nucleic acid (HNA) bacteria in the space of forward scatter (FS) and green fluorescence (FL1). Results obtained for the experimental vessels with Rhodomonas salina (RHO), Tetraselmis suecica (TET) and the reference vessel (CNL).
Figure 1 in Phytoplankton Exopolymers Enhance Adhesion of Microplastic Particles to Submersed Surfaces
Figure 1. Cytograms of the cultures of Chaetoceros neogracile (A; data from Long et al., 2017), Rhodomonas salina (B; our data) and Tetraselmis suecica (C; our data) exposed to fluorescent polystyrene microspheres. Gating: MS – microspheres, CHA – Ch. neogracile, H-A – hetero-aggregates of Ch. neogracile and microspheres (according to Long et al., 2017), RHO – Rh. salina, TET – T. suecica.
Figure 2 in Phytoplankton Exopolymers Enhance Adhesion of Microplastic Particles to Submersed Surfaces
Figure 2. General scheme of processes in the experimental and reference (CNL) vessels: Dynamics of Rhodomonas salina (RHO), Tetraselmis suecica (TET) and fluorescent microspheres (MS) in the medium (left plot); Immobilization of MS on slide surface (right plot and photos). Error bars are standard deviations.
Fig. 5 in Phytoplankton Exopolymers Enhance Adhesion of Microplastic Particles to Submersed Surfaces
Fig. 5. Bacterial abundance (N) and a portion of HNA-bacteria in the bacterial consortium (HNA%) in the experimental vessels with Rhodomonas salina (RHO), Tetraselmis suecica (TET) and the reference vessel (CNL) at the final stage of the experiment. Error bars are standard deviations.
A Methodology for the Fast Identification and Monitoring of Microplastics in Environmental Samples using Random Decision Forest Classifiers
<p>This short video shows the results of the application of a classifier for microplastics as described by Hufnagl et al. (2019).</p> <p> </p> <p>If you reuse this video please cite</p> <p> </p> <p>Hufnagl, B., Steiner, D., Renner, Löder, M. G. J., Laforsch, C. and Lohninger, H. <em>A Methodology for the Fast Identification and Monitoring of Microplastics in</em><em> Environmental Samples using Random Decision Forest Classifiers,</em> Analytical Methods, 2019, DOI:10.1039/C9AY00252A</p>
Figure 5 in Occurrence of microplastics in the gastrointestinal tracts of some edible fish species along the Turkish coast
Figure 5. Spectra of the μ-Raman analysis and photographs of 3 of the most common plastic fragments extracted from the GITs of edible fish species collected from Turkish marine waters.
Figure 4 in Occurrence of microplastics in the gastrointestinal tracts of some edible fish species along the Turkish coast
Figure 4. Percentage of MPs in the GITs of fish species and their locations. The % values give the percentage of individuals with (number of individuals with Mps) species MPs in the GIT for each species (% = x 100) species (total number of fish)
Figure 1 in Occurrence of microplastics in the gastrointestinal tracts of some edible fish species along the Turkish coast
Figure 1. Locations of the collected fish species. For the Marmara Sea: Lat: 41.021936, Long: 28.973629; Lat: 41.233692, Long: 29.115310; for the Aegean Sea: Lat: 38.455082, Long: 27.094317; for the Eastern Mediterranean: Lat: 36.766581, Long: 35.792882
Figure 2 in Occurrence of microplastics in the gastrointestinal tracts of some edible fish species along the Turkish coast
Figure 2. MPs in fish species caught from the Northeastern Mediterranean, Aegean, and Marmara seas and the average concentration of MPs at each location.
Figure 4 in The microplastic pattern in Turkish lakes: sediment and bivalve samples from Çıldır Lake Almus Dam Lake, and Kartalkaya Dam Lake
Figure 4. Abundance (a), polymer characterization (b), and shape (c) of microplastics collected from sediment samples from three lakes.
Figure 2 in The microplastic pattern in Turkish lakes: sediment and bivalve samples from Çıldır Lake Almus Dam Lake, and Kartalkaya Dam Lake
Figure 2. Evaluation of the extracted microplastics (MPs) from sediments and mussels. a) Appearance of MPs under a fluorescence microscope using Nile Red fluorescent dye, b) FTIR spectrums of MPs, and c) appearance of MPs under a stereo microscope.
Figure 3 in The microplastic pattern in Turkish lakes: sediment and bivalve samples from Çıldır Lake Almus Dam Lake, and Kartalkaya Dam Lake
Figure 3. Characterization of microplastics (MPs) obtained from sediments and mussel samples. The upper panel is the shape, the middle is the polymer type, and the lower panel is the MPs' size.
Figure 1 in The microplastic pattern in Turkish lakes: sediment and bivalve samples from Çıldır Lake Almus Dam Lake, and Kartalkaya Dam Lake
Figure 1. Sampling area. Red circles represent the locations of the lakes where sediments and mussels were collected.
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.
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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