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1,849 results for “toxicant”
Dataset for: The barrier to radial oxygen loss protects roots against hydrogen sulphide intrusion and its toxic effect
<ul> <li> <span>The root barrier to radial O<sub>2</sub> loss (ROL) is a key root trait preventing </span><span>O<sub>2</sub></span><span> loss from roots to anoxic soils thereby enabling root growth into anoxic, flooded soils. </span> </li> <li> <span>We hypothesized that the ROL barrier can also prevent intrusion of hydrogen sulphide (H<sub>2</sub>S), a potent phytotoxin in flooded soils. Using H2S and </span><span>O<sub>2</sub></span><span>-sensitive microsensors, we measured the apparent permeance to </span><span>H<sub>2</sub>S</span><span> of rice roots and tested whether restricted </span><span>H<sub>2</sub>S</span><span> intrusion reduced its adverse effects on root respiration and if </span><span>H<sub>2</sub>S</span><span> could induce the formation of a ROL barrier.</span> </li> <li> <span>The ROL barrier reduced apparent permeance to </span><span>H<sub>2</sub>S</span><span> by almost 99%, greatly restricting </span><span>H<sub>2</sub>S</span><span> intrusion. The ROL barrier acted as a shield towards </span><span>H<sub>2</sub>S</span><span>; </span><span>O<sub>2</sub></span><span> consumption in roots with a ROL barrier remained unaffected at high </span><span>H<sub>2</sub>S</span><span> concentration (500 µM), compared to a 67% decline in roots without a barrier. Importantly, low </span><span>H<sub>2</sub>S</span><span> concentrations induced the formation of a ROL barrier.</span> </li> <li> <span>In conclusion, the ROL barrier plays a key role in protecting against </span><span>H<sub>2</sub>S</span><span> intrusion, and </span><span>H<sub>2</sub>S</span><span> can act as an environmental signalling molecule for the induction of the barrier. The study demonstrates the multiple functions of the suberized/lignified outer part of the rice root beyond that of restricting ROL.</span> </li> </ul>
FIG. 2 in Distribution of potentially toxic epiphytic dinoflagellates in Saint Martin Island (Caribbean Sea, Lesser Antilles)
FIG. 2. — Distribution of potentially toxic benthic dinoflagellates abundances (cells g–1): A, Florideophyceae; B, Phaeophyceae; C, Ulvophyceae; D, seagrasses in Saint Martin Island.
Predicted drug-likeness and toxicity properties of Salvia fruticosa compounds
<p>The datasets present computationally predicted drug-likeness and toxicity profiles of <em>Salvia frutocosa</em> compounds.</p>
Fig. 1 in Isolation and molecular characterization of Bacillus thuringiensis found in soils of the Cerrado region of Brazil, and their toxicity to Aedes aegypti larvae
Fig. 1. SDS-PAGE protein profiles of the Bacillus thuringiensis isolates most toxic to Aedes aegypti larvae. MM, molecular weight marker (kDa); Bti, Bacillus thuringiensis var. israelensis; 25–560, Bacillus thuringiensis isolates.
Toxic Memes Detection Dataset
<p>The dataset for training and evaluating toxic memes detection models. Images are collected from popular Russian Telegram channels and labelled with respect to <a href="https://transparency.fb.com/policies/community-standards">Facebook Community Standards</a>.</p>
Multimodal Toxic Memes Detection Dataset
<p>The dataset for training and evaluating multimodal toxic memes detection models. Contains images, extracted texts and toxicity labels. Images are collected from popular Russian Telegram channels and labelled with respect to <a href="https://transparency.fb.com/policies/community-standards">Facebook Community Standards</a>.</p>
Images of daphnids (control and exposed to NMs) over multiple generations, scored by experts as toxic or non-toxic and the resulting deepDaph predictions
<p>Background</p> <p>This study showcases a pioneering application of deep learning methodologies in ecotoxicology, aimed at facilitating hazard assessment and safer design of engineered nanomaterials (ENMs). The research hinges on a high-quality dataset comprising microscopic images of Daphnia magna exposed to various ENMs, collected systematically under controlled conditions.</p> <p>The Dataset: A Cornerstone of Nanoinformatics</p> <p>Our dataset, which will be openly accessible on Zenodo, serves as a foundational resource for the ecotoxicology community. It contains high-resolution images tagged with intricate details like malformations, tail lengths, lipid concentrations, and lipid deposit shapes. Researchers can use this exhaustive dataset to train a variety of predictive models for diverse applications.</p> <p>Methodology</p> <p>We employ two different deep learning architectures to process the dataset. These architectures automatically detect malformations and assess the impact of ENMs on D. magna by classifying various biological structures based on lipid densities.</p> <p>Results and Validation</p> <p>The developed models demonstrate high statistical validation, confirming their prediction accuracy on external D. magna images. Our dataset and the associated models not only accelerate manual procedures but also pave the way for automated, high-throughput analyses in ecotoxicology.</p> <p>Future Prospects</p> <p>The dataset holds the potential to extend investigations into predicting the impacts on future generations from parental exposures, thus reducing the time and cost of multi-generational toxicity assays.</p>
Verzehrsstudie zur Ermittlung der Lebensmittelaufnahme von Säuglingen und Kleinkindern für die Abschätzung eines akuten Toxizitätsrisikos durch Rückstände von Pflanzenschutzmitteln (VELS) [Consumption study to determine the food intake of infants and young children for the estimation of an acute toxicity risk through residues of plant protection products]
<p>The VELS study (<strong>V</strong>erzehrsstudie zur <strong>E</strong>rmittlung der Lebensmittelaufnahme von <strong>S</strong>äuglingen und Kleinkindern für die Abschätzung eines akuten Toxizitätsrisikos durch Rückstände von Pflanzenschutzmitteln; VELS) was conducted in 2001/2002. Data were collected from 804 infants, toddlers and children (age group 0.5 to <5 years) in Germany. The food consumed was recorded by the parents as "food as eaten" over a total of 6 days (2x3-day food record with an interval of 3-6 months for toddlers and 4-8 weeks for infants). Anthropometric data are also included.</p> <p>Foods are coded according to the German food coding system (BLS; Bundeslebensmittelschlüssel) and food names and additional information is available in German only.</p> <p>Dataset owner: German Federal Institute for Risk Assessment (BfR)</p> <p>Data collection was carried out by the University of Paderborn on behalf of the Federal Ministry of Food and Agriculture [Bundesministerium für Ernährung und Landwirtschaft; BMEL] – formerly Federal Ministry for Food, Agriculture and Consumer Protection [Bundesministerium für Verbraucherschutz, Ernährung und Landwirtschaft; BMVEL]</p>
An Intravenous Pancreatic Cancer Therapeutic: Characterization of CRISPR/Cas9n-modified Clostridium novyi-Non Toxic Supplementary Information Histology Slides Part 2
<p>H&E and Gram stained whole slide scans for blinded cohorts from publication titled ‘An Intravenous Pancreatic Cancer Therapeutic: Characterization of CRISPR/Cas9n-modified <em>Clostridium novyi-</em>Non Toxic’ published in PLOS One 2023.</p> <p>Excerpt from methods section of publication detailing acquisition of this data: "Formalin-fixed tissue samples were processed for paraffin embedding by the means of dehydration, clearing and paraffin infiltration (Lynx II Tissue Processor). The paraffin embedded tissue samples were sectioned using a Leica Rotatory Microtome RM2125 RTS at 5um thickness. Designated tissue sections were subsequently de-paraffined and stained with H&E and gram staining as per standard histology protocols (Leica Autostainer XL). Whole slide scanning (WSI) was performed by a Panoramic 250 whole slide scanner at 20x magnification (3D Histech) using a Carl-Zeiss Plan-Apochromat 20x / NA 0.8 objective."</p> <p>Please note when downloading the image files that the folder containing all of the .data files <strong>cannot</strong> contain the corresponding .mxrs file. The .mxrs and the folder containing the .data files <strong>must</strong> have identical names and be at the same file level (as uploaded). Files of this type can be opened by the open source software FIJI or QuPath, among others.</p> <p>Cohorts have been uploaded with viewers blinded to treatment groups to allow for unbiased review should it be desired, with a cohort key uploaded separately (doi: ##). Files are grouped so that all major organs from a single mouse are in the same compressed folder.</p>
An Intravenous Pancreatic Cancer Therapeutic: Characterization of CRISPR/Cas9n-modified Clostridium novyi-Non Toxic Supplementary Information Histology Slides Part 5
<p>H&E and Gram stained whole slide scans for blinded cohorts from publication titled ‘An Intravenous Pancreatic Cancer Therapeutic: Characterization of CRISPR/Cas9n-modified <em>Clostridium novyi-</em>Non Toxic’ published in PLOS One 2023.</p> <p>Excerpt from methods section of publication detailing acquisition of this data: "Formalin-fixed tissue samples were processed for paraffin embedding by the means of dehydration, clearing and paraffin infiltration (Lynx II Tissue Processor). The paraffin embedded tissue samples were sectioned using a Leica Rotatory Microtome RM2125 RTS at 5um thickness. Designated tissue sections were subsequently de-paraffined and stained with H&E and gram staining as per standard histology protocols (Leica Autostainer XL). Whole slide scanning (WSI) was performed by a Panoramic 250 whole slide scanner at 20x magnification (3D Histech) using a Carl-Zeiss Plan-Apochromat 20x / NA 0.8 objective."</p> <p>Please note when downloading the image files that the folder containing all of the .data files <strong>cannot</strong> contain the corresponding .mxrs file. The .mxrs and the folder containing the .data files <strong>must</strong> have identical names and be at the same file level (as uploaded). Files of this type can be opened by the open source software FIJI or QuPath, among others.</p> <p>Cohorts have been uploaded with viewers blinded to treatment groups to allow for unbiased review should it be desired, with a cohort key uploaded separately (doi: ##). Files are grouped so that all major organs from a single mouse are in the same compressed folder.</p>
An Intravenous Pancreatic Cancer Therapeutic: Characterization of CRISPR/Cas9n-modified Clostridium novyi-Non Toxic Supplementary Information Histology Slides Part 4
<p>H&E and Gram stained whole slide scans for blinded cohorts from publication titled ‘An Intravenous Pancreatic Cancer Therapeutic: Characterization of CRISPR/Cas9n-modified <em>Clostridium novyi-</em>Non Toxic’ published in PLOS One 2023.</p> <p>Excerpt from methods section of publication detailing acquisition of this data: "Formalin-fixed tissue samples were processed for paraffin embedding by the means of dehydration, clearing and paraffin infiltration (Lynx II Tissue Processor). The paraffin embedded tissue samples were sectioned using a Leica Rotatory Microtome RM2125 RTS at 5um thickness. Designated tissue sections were subsequently de-paraffined and stained with H&E and gram staining as per standard histology protocols (Leica Autostainer XL). Whole slide scanning (WSI) was performed by a Panoramic 250 whole slide scanner at 20x magnification (3D Histech) using a Carl-Zeiss Plan-Apochromat 20x / NA 0.8 objective."</p> <p>Please note when downloading the image files that the folder containing all of the .data files <strong>cannot</strong> contain the corresponding .mxrs file. The .mxrs and the folder containing the .data files <strong>must</strong> have identical names and be at the same file level (as uploaded). Files of this type can be opened by the open source software FIJI or QuPath, among others.</p> <p>Cohorts have been uploaded with viewers blinded to treatment groups to allow for unbiased review should it be desired, with a cohort key uploaded separately (doi: ##). Files are grouped so that all major organs from a single mouse are in the same compressed folder.</p>
Dataset for: The barrier to radial oxygen loss protects roots against hydrogen sulphide intrusion and its toxic effect
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Examining the associations between a generalist feeder and a highly toxic host
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Toxic temperatures: Bee behaviours exhibit divergent pesticide toxicity relationships with warming
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Network of artificial olfactory receptors for spatiotemporal monitoring of toxic gas
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Mean plant toxicity modulates the effects of plant defense variability
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Reduced stress defense responses contribute to the higher toxicity of a pesticide under warming
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Data from: Application of a metabolic network-based graph neural network for the identification of toxicant-induced perturbations
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Data from: Determining the optimal movement strategies in environments with heterogeneously distributed resources and toxicants
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Landscape-level toxicant exposure mediates infection impacts on wildlife populations
Anthropogenic landscape modification such as urbanization can expose wildlife to toxicants, with profound behavioural and health effects. Toxicant exposure can alter local transmission of wildlife diseases by reducing survival or altering immune defence. However, predicting the impacts of pathogens on wildlife across their ranges is complicated by heterogeneity in toxicant exposure across the landscape, especially if toxicants alter wildlife movement from toxicant-contaminated to uncontaminated habitats. We developed a mechanistic model to explore how toxicant effects on host health and movement propensity influence range-wide pathogen transmission, and zoonotic exposure risk, as an increasing fraction of the landscape is toxicant-contaminated. When toxicant-contaminated habitat is scarce on the landscape, costs to movement and survival from toxicant exposure can trap infected animals in contaminated habitat and reduce landscape-level transmission. Increasing the proportion of contaminated habitat causes host population declines from combined effects of toxicants and infection. The onset of host declines precedes an increase in the density of infected hosts in contaminated habitat, and thus may serve as an early warning of increasing zoonotic spillover risk in urbanizing landscapes. These results highlight how sublethal effects of toxicants can determine pathogen impacts on wildlife populations that may not manifest until landscape contamination is widespread.
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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.