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ShareScore release 0.9.0
Dataset results
8 results for “Engineered nanomaterials”
DPMFA_EU_ENM_2000-2020: Dynamic Probabilistic Material Flows of Engineered Nanomaterials from 2000 to 2020 - Raw results
<p>This dataset is related to the following publication:</p> <p>Title: Dynamic probabilistic material flow analysis of engineered nanomaterials in European waste treatment systems</p> <p>Authors: Sana Rajkovic, Nikolaus A. Bornhöf<span>t</span>, Renata van der Weijden, Bernd Nowack, Véronique Adam</p> <p>Submitted to the journal Waste Management in September 2019.</p> <p>The files contain key values of probability distributions associated with the emissions of selected engineered nanomaterials to the environment.</p>
Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials
<p>Toxicogenomics (TGx) approaches are increasingly applied to gain insight into the possible toxicity mechanisms of engineered nanomaterials (ENMs). Omics data can be valuable to elucidate the mechanism of action of chemicals and develop predictive models in toxicology. While vast amounts of transcriptomics data from ENM exposures have already been accumulated, a unified, easily accessible and reusable collection of transcriptomics data for ENMs is currently lacking. In an attempt to improve the FAIRness of already existing transcriptomics data for nanomaterials, we curated a collection of homogenized transcriptomics data from human, mouse and rat ENM exposures <em>in vitro</em> and <em>in vivo</em>.</p>
RDF version of the data from Saarimaki et al. Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials (Version 1.0.0) [Zenodo Dataset] (2020)
<p>This is an RDFied version of the dataset published by Saarimaki et al. Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials (Version 1.0.0) [Zebodo Dataset] (2020)</p> <p>The original dataset publication DOI: <a href="http://doi.org/10.5281/zenodo.4146981">http://doi.org/10.5281/zenodo.4146981</a></p> <p>The Original publication authors: Saarimaki, Laura Aliisa, Federico, Antonio, Lynch, Iseult, Papadiamantis, Anastasios G., Tsoumanis, Andreas, Melagraki, Georgia, Afantitis, Antreas, Serra, Angela, & Greco, Dario</p>
Sublethal effects of photoactive engineered nanomaterials on filamentous bacteriophage infection and <em>E. coli</em> gene expression in freshwater
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Fate and Toxicity of Engineered Nanomaterials in the Environment: a Meta-analysis
Engineered nanomaterials (ENMs, particles less than 100 nanometers) are being manufactured at increasing levels for a variety of reasons including cosmetics, food packaging and preservation, fertilizers, and medical technology. Thousands of metric tons of ENMs are released to soils, water bodies, air, and landfills each year. These particles have distinct properties owing to their small size and relatively large surface area to volume ratio. These characteristics can result in these materials having higher reactivity and toxicity in biological systems - especially because ENMs are small enough to enter cells. However, studies on environmental and ecological effects of ENMs have shown mixed results. The goal of this project is to address three primary research questions using meta-analysis of existing literature: 1) Which ENMs have been studied and in what context? 2) How do particle identity, size, concentration, and study duration influence toxicity (as estimated by response ratios, lethal concentration (LC50), and effective concentration (EC50)) in different organisms related to the role they play in the environment? 3) What are bioaccumulation, biomagnification, and bioconcentration factors of ENMs as a function of ecosystem role and trophic level in different organisms? We collected data from 191 published scientific papers and extracted 2102 unique observations that are used to address the questions outlined above. We calculated response ratios related to biological responses of biomass, diversity, growth, metabolism, and survival to evaluate how these are influenced by ENM exposure. Values of LC50 (concentration at which 50% of test organisms died) and EC50 (concentration at which 50% of test organisms showed an effect) were collected to estimate concentrations at which toxicity occurs. Bioaccumulation (BAF), bioconcentration (BCF), and biomagnification (BMF) factors were recorded to estimate environmental accumulation and trophic transfer. This work is a resu
Effects of Engineered Nanomaterials on Mouse Airways: Assessment of 28 Nanomaterials.
GEO Series GSE157266. Mus musculus. 118 samples. Type: Expression profiling by array.
Multi-parametric profiling of a large panel of engineered nanomaterials (ENM) points to surface chemistry as a key determinant of nanomaterial effects
GEO Series GSE148705. Homo sapiens. 96 samples. Type: Expression profiling by array.
Effects of scratching and engineered nanomaterials on gene profiles and microbiota in SKH-1 mice
GEO Series GSE253459. Mus musculus. 5 samples. Type: Expression profiling by high throughput sequencing.
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Allen Brain Atlas
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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.