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Figure 3 in Limitations of allometry, morphometry, and fluctuating asymmetry in detecting environmental stress caused by lead soil contamination in aphids under field conditions
Figure 3 Negative allometry represented by the allometric coefficients of both the antenna and tibia and their confidence intervals; the values are related to the body length ofBrevicoryne brassicae in the presence (Lead (Pb)) and absence (Control) of lead.
Figure 1 in Limitations of allometry, morphometry, and fluctuating asymmetry in detecting environmental stress caused by lead soil contamination in aphids under field conditions
Figure 1 Brevicoryne brassicae placed in a dorsal-ventral position for structure measurement. (a): Total body length (b): antenomer length (c): length of the posterior tibia. Source: the authors.
Figure 2 in Limitations of allometry, morphometry, and fluctuating asymmetry in detecting environmental stress caused by lead soil contamination in aphids under field conditions
Figure 2 Mean length and standard error of the antenna, tibia and body length of Brevicoryne brassicae in the presence (Lead (Pb)) and absence (Control) of lead.
Fig. 4 in Factors that alter the biochemical biomarkers of environmental contamination in Chironomus sancticaroli (Diptera, Chironomidae)
Fig. 4. Effect of sample centrifugation on the activity of acetylcholinesterase (AChE), alpha esterase (EST-α), and beta alpha esterase (EST-β) of Chironomus sancticaroli. The values are expressed as the mean value of enzyme activity ± SD (n = 30 for each condition). Different letters indicate significant differences when p <0.05 (using paired t-test).
Fig. 2 in Factors that alter the biochemical biomarkers of environmental contamination in Chironomus sancticaroli (Diptera, Chironomidae)
Fig. 2. Effect of fasting for 24 h (A); 48 h (B) and 72 h (C) on the activity of acetylcholinesterase (AChE), alpha esterase (EST-α), and beta alpha esterase (EST-β) of Chironomus sancticaroli. The values are expressed as the mean value of enzyme activity ± SD (n = 30 for each condition). Different letters indicate significant differences when p <0.05 (using unpaired t-test).
Fig. 1 in Factors that alter the biochemical biomarkers of environmental contamination in Chironomus sancticaroli (Diptera, Chironomidae)
Fig. 1. Effect of temperature (20, 25 and 30 ◦C) on the activity of acetylcholinesterase (AChE), alpha esterase (EST-α), and beta alpha esterase (EST-β) of Chironomus sancticaroli. The values are expressed as the mean value of enzyme activity ± SD (n = 30 for each condition). Different letters indicate significant differences when p <0.05 (using ANOVA – one way and Tukey contrast).
Figure 1 in Amphibian and fish eye lens used as biomarker of remote and chronic environmental contamination
Figure 1.The main abnormities of the frog lens in the region of the posterior pole. а – back lens suture is normal; b - "starry sky" picture; c – lesion of the back lens suture.
Fig. 2 in Toxoplasma gondii contamination at an animal agriculture facility: Environmental, agricultural animal, and wildlife contamination indicator evaluation
Fig. 2. Soil sampling and animal trapping locations at Little River Animal and Environmental Unit in Walland, Tennessee, United States.
Fig. 1 in Toxoplasma gondii contamination at an animal agriculture facility: Environmental, agricultural animal, and wildlife contamination indicator evaluation
Fig. 1. The geographic location of the study site, Little River Animal and Environmental Unit in Walland, Tennessee, United States.
FIGURE 3 in Microplastics contamination in fish, water, and sediment surrounding Ubatuba beaches, Southeastern Brazil
FIGURE 3 | Mean values and standard deviation of the synthetic particles in the gastrointestinal tract of Atherinella brasiliensis, from sandy beaches of Ubatuba, Brazil (summer, January/2021, and winter, July/2021).
FIGURE 5 in Microplastics contamination in fish, water, and sediment surrounding Ubatuba beaches, Southeastern Brazil
FIGURE 5 | Graphic representation of the Principal Component Analysis (PC1 and PC2) based on environmental variables measured in sandy beaches of Ubatuba, Brazil. Red circles = summer (S); Green circles = winter (W); BS = Barra Seca; PC = Perequê Calma; PB = Perequê Brava.
FIGURE 1 in Microplastics contamination in fish, water, and sediment surrounding Ubatuba beaches, Southeastern Brazil
FIGURE 1 | The three sampling areas: Barra Seca Beach (red line) and Perequê-Açú Beach (Brava, orange line, and Calma, green line) in Ubatuba, São Paulo State, Brazil. Source: QGIS.
FIGURE 2 in Microplastics contamination in fish, water, and sediment surrounding Ubatuba beaches, Southeastern Brazil
FIGURE 2 | Representation of colors percentage of the synthetic particles in the gastrointestinal tract of Atherinella brasiliensis, from sandy beaches of Ubatuba, Brazil (summer, January/2021, and winter, July/2021).
FIGURE 4 in Microplastics contamination in fish, water, and sediment surrounding Ubatuba beaches, Southeastern Brazil
FIGURE 4 | Box Plot representation (median and standard deviation) of synthetic particles quantities in the water (A) and sediment (B) samples from sandy beaches of Ubatuba, Brazil (summer, January/2021, and winter, July/2021).
FIGURE 7 in The cost of gold: Mercury contamination of fishes in a Neotropical river food web
FIGURE 7 | Relationships between body size (standard length, mm) and total Hg of fishes commonly used for consumption. Top panel (non-mined) contains three species that were common at mined sites (bottom panel). Relationships were estimated for five species that are commonly found and consumed, and for what a class structure was observed. Symbols represent individual fish. Clear diamonds = frugivores [1 sp.: Myloplus asterias (n = 19)], dark triangles = carnivores [1 sp.: Serrasalmus eigenmanni (n = 14)], green circles = piscivores [(3 spp.: S. rhombeus (n = 24), Ageneiosus ucayalensis (n = 2), Hoplias malabaricus (n = 1)].
FIGURE 6 in The cost of gold: Mercury contamination of fishes in a Neotropical river food web
FIGURE 6 | Mean Hg concentrations (dry weight) in sediments and instream biota separated by trophic groups (producers and consumers) between mined and non-mined sites in the Mazaruni River, Guyana. Species were grouped together based on their trophic guild. Polynomial trendline: y = 0.05x2 - 0.22x + 0.28, coefficient of determination R² = 0.98.
FIGURE 2 in The cost of gold: Mercury contamination of fishes in a Neotropical river food web
FIGURE 2 | Locations of sampling sites in the middle Mazaruni River drainage in A. Guyana within B. South America. Sampling sites included location in the C. Main channel of the Mazaruni River (mined) and three main tributaries including Eping River (non-mined), Puterang and Kurupung rivers (mined).
FIGURE 5 in The cost of gold: Mercury contamination of fishes in a Neotropical river food web
FIGURE 5 | Biomagnification of Hg in the Mazaruni River, Guyana, represented as the log total Hg concentrations plotted against nitrogen (δ15N) isotope ratios. Species were grouped together based on their trophic guild. Each symbol represents the average of all species within each trophic guild. The dashed horizontal line indicates the reference limit of 0.5 µg/g by WHO guideline for Hg in fish consumed by humans.
FIGURE 1 in The cost of gold: Mercury contamination of fishes in a Neotropical river food web
FIGURE 1 | Conceptual model of how Hg enters riverine food webs of the Mazaruni River, Guyana. First, artisanal gold mining operations installed in the river use a suction dredge to reach gold contained in bottom sediments. These mining operations use mercury for gold amalgamation of which the majority is lost to the atmosphere or river. Once in the river, Hg can be methylated by microbes into the toxic Methylmercury (MeHg) and be assimilated rapidly by aquatic biota. Hg concentration bioaccumulates and biomagnifies in the trophic food chain. Fishes at higher trophic levels [piscivores and carnivores (e.g., piranhas, aimaras, and catfishes)] are important items in the diet of local communities and can become a direct source of Hg uptake via direct consumption.
FIGURE 4 in The cost of gold: Mercury contamination of fishes in a Neotropical river food web
FIGURE 4 | Mean nitrogen (δ15N) and carbon (δ13C) isotope ratios of fish species collected from mined (right panel) and non-mined (left panel) sites in the Mazaruni River, Guyana. Species were grouped together based on their trophic guild. Each symbol represents the average of all species within each trophic guild. Numbers represent the basal resources collected at surveyed sites (1 = bryophyte, 2 = benthic algae, 3 = aquatic macrophytes). The abbreviations for the fish trophic guilds: Algivore/ Detritivore (Alg/Det), Insectivore (Insec), Herbivore (Herb), Omnivore (Omni), Carnivore (Carn), Piscivore (Pisc), as well as one shrimp (Macrobrachium).
ScienceDex guides
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.