Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,849
datasets available to search
ShareScore release 0.9.0
Dataset results
1,849 results for “toxicant”
Supplementary material for "Increased sensitivity of marine invertebrates to metal toxicity in the past two decades linked to Climate Change and Ocean Acidification: revelations from a natural population of sea urchins in the Mediterranean Sea." by "Davide Sartori, Guido Scatena, Cristina Vrinceanu, Andrea Gaion".
<p>Satellite observations of environmental factors and effect concentration 50 for copper to sea urchin, from 2003 to 2022.</p>
Individual datasets investigating combined toxicity of binary mixtures in bees from laboratory tests
<p>This excel file (DOI: https://doi.org/10.5281/zenodo.3383713) provides the individual datasets on binary mixture toxicity (mortality) in bees classified according to route and exposure patterns (i.e. oral, contact, acute and chronic) and mortality endpoints (e.g.LD<sub>50</sub>, LC<sub>50</sub>) for the honeybee (<em>Apis mellifera</em>) and wild bee species (<em>Osmia bicornis</em>, <em>Bombus terrestris</em>). 218 individual binary mixtures were collected and included in the statistical analyses with the majority of toxicological endpoints reported as lethal doses or concentrations (e.g. LD<sub>50</sub>, LC<sub>50</sub>,) for pesticides or pesticides and veterinary drugs combinations with 133, 44 and 41 mixtures reporting acute contact toxicity (i.e. topical application), chronic oral toxicity and acute oral toxicity, respectively. Combined toxicity data for binary mixtures were available as dose response data in honeybees for acute contact toxicity (n=92) and acute oral toxicity.</p> <p>The full data collection and analysis of binary mixtures are described in Carnesecchi et al., 2019 (DOI: 10.1016/j.envint.2019.105256)</p>
Consensus QSAR models estimating acute aquatic toxicity for three trophic levels organisms: Algae, Daphnia and Fish
<p>We report new consensus models estimating acute toxicity for algae, daphnia and fish endpoints. We assembled a large collection of 3680 public unique compounds annotated by, at least, one experimental value for the given endpoint. Support Vector Machine models were internally and externally validated following the OECD principles. Reasonable predictive performances were achieved (RMSE<sub>ext</sub> = 0.56 – 0.78) which are in line with those of state-of-the-art models. The known structural alerts are compared with analysis of the atomic contributions to these models obtained using the ISIDA/<em>ColorAtom</em> utility. A benchmarking against existing tools has been carried out on a set of compounds considered more representative and relevant for the chemical space of the current chemical industry. Our model scored one of the best accuracies and data coverage.</p> <p>Nevertheless, industrial data performances were noticeably lower than those on public data, indicating that existing models fail to meet the industrial needs. Thus, final models were updated with the inclusion of new industrial compounds, extending applicability domain and relevance for application in an industrial context. Generate models and collected public data are made freely available.</p> <p><strong>Available fields in the SDF file:</strong></p> <ul> <li>SMILES_Canonical: canonical SMILES code</li> <li>DB: source of the data, "Litterature set" means that the data is originated from an article (see the companion article of the dataset for details).</li> <li>endpoint: organism for which endpoint is available</li> <li>CASRN: CAS registration number</li> <li>98-81-7</li> <li>pEC50 - DAPHNIA: Daphnia, mortality, which is evaluated by the immobilization of the invertebrate is recorded at 48 hours and expressed as the log median effective concentration (pEC50)</li> <li>mg/L - DAPHNIA: Daphnia, mortality, which is evaluated by the immobilization of the invertebrate is recorded at 48 hours and expressed as the median effective concentration (EC50)</li> <li>pLC50 - FISH: Fish, the log median lethal concentration measured at 96 hours is considered (pLC50)</li> <li>mg/L - FISH: Fish, the log median lethal concentration measured at 96 hours is considered (LC50)</li> <li>pEC50 - ALGA: Algae, the purpose is to determine the substance’s growth inhibition effect, expressed as the log median effective concentration (pEC50) measured at 72 hours</li> <li>mg/L - ALGA: Algae, the purpose is to determine the substance’s growth inhibition effect, expressed as the median effective concentration (EC50) measured at 72 hours</li> </ul>
Reduced stress defense responses contribute to the higher toxicity of a pesticide under warming
<p>There is a pressing need to identify the molecular mechanisms underlying the, often magnifying, interactive effects between contaminants and natural stressors. We here test our hypothesis that lower general stress defense responses contribute to synergistic interactions between stressors. We focus on the widespread pattern that many contaminants are more toxic at higher temperatures. Specifically, we tested the effects of an environmentally realistic low-effect and high-effect concentration of the pesticide chlorpyrifos under warming at the gene expression level in the Northern house mosquito <em>Culex pipiens molestus</em> (Forskal, 1775). By applying the independent action model for combined stressors on RNA-seq data, we identified interactive gene expression patterns under combined exposure to chlorpyrifos and warming for general stress defense responses: protection of macromolecules, antioxidant processes, detoxification, and energy metabolism/allocation. Most of these general stress defense response genes showed upregulated antagonistic interactions, i.e. were less upregulated than expected under the independent action model. This indicates that when pesticide exposure was combined with warming the general stress defense responses were no longer buffering increased stress levels, which may contribute to a higher sensitivity to toxicants under warming. These upregulated antagonistic interactions were stronger for the high-effect chlorpyrifos concentration, indicating that exposure to this concentration under warming was most stressful. Our results highlight that quantitative analysis of the frequency and strength of the interaction types of general stress defense response genes, specifically focusing on antagonistic upregulations and synergistic downregulations, may advance understanding of how natural stressors modify the toxicity of contaminants.</p>
Phylogenetic analysis, morphological studies, element profiling, and muscarine detection reveal a new toxic Inosperma (Inocybaceae, Agaricales) species from tropical China
Open the record for dataset details and reuse information.
bachtiarrizky1701/Etika-TI: Dataset Analisis Dampak Bermain Game Mobile Legends Terhadap Perilaku Toxic Anak-Anak Hingga Dewasa
Dataset berisi data hasil respon survey terkait "Analisis Dampak Bermain Game Mobile Legends Terhadap Perilaku Toxic Anak-Anak Hingga Dewasa"
Database of alternatives to persistent, mobile and toxic (PMT) substances, and to per- and polyfluoroalkyl substances (PFAS).
<p>ZeroPM partners are continuously building a database of alternatives to persistent, mobile and toxic (PMT) substances, and to per- and polyfluoroalkyl substances (PFAS). The current version available focuses on alternatives to PFAS. The ZeroPM alternative assessment database is currently available as a beta-version. It will be continuously updated as we obtain more information on alternatives to PFAS and other PMT substances.</p> <p>For information about the database, please visit: https://zeropm.eu/alternative-assessment-database/ </p>
Phenoxytacrine derivatives: Low-toxicity neuroprotectants exerting affinity to ifenprodil-binding site and cholinesterase inhibition
<p><a title="Learn more about Tacrine from ScienceDirect's AI-generated Topic Pages" href="https://www.sciencedirect.com/topics/chemistry/tacrine">Tacrine</a> (THA), a long withdrawn drug, is still a popular scaffold used in medicinal <a title="Learn more about chemistry from ScienceDirect's AI-generated Topic Pages" href="https://www.sciencedirect.com/topics/chemistry/chemistry">chemistry</a>, mainly for its good reactivity and multi-targeted effect. However, THA-associated hepatotoxicity is still an issue and must be considered in <a title="Learn more about drug discovery from ScienceDirect's AI-generated Topic Pages" href="https://www.sciencedirect.com/topics/pharmacology-toxicology-and-pharmaceutical-science/drug-discovery">drug discovery</a> based on the THA scaffold. Following our previously identified hit compound 7-phenoxytacrine (7-PhO-THA), we systematically explored the chemical space with 30 novel derivatives, with a focus on low hepatotoxicity, <a title="Learn more about anticholinesterase from ScienceDirect's AI-generated Topic Pages" href="https://www.sciencedirect.com/topics/pharmacology-toxicology-and-pharmaceutical-science/cholinesterase-inhibitor">anticholinesterase</a> action, and antagonism at the GluN1/GluN2B subtype of the <a title="Learn more about NMDA receptor from ScienceDirect's AI-generated Topic Pages" href="https://www.sciencedirect.com/topics/pharmacology-toxicology-and-pharmaceutical-science/n-methyl-dextro-aspartic-acid-receptor">NMDA receptor</a>. Applying the down-selection process based on <em>in vitro</em> and <em>in vivo</em> <a title="Learn more about pharmacokinetic from ScienceDirect's AI-generated Topic Pages" href="https://www.sciencedirect.com/topics/pharmacology-toxicology-and-pharmaceutical-science/pharmacokinetics">pharmacokinetic</a> data, two candidates, <strong>I-52</strong> and <strong>II-52,</strong> selective GluN1/GluN2B inhibitors thanks to the interaction with the ifenprodil-binding site, have entered <em>in vivo</em> <a title="Learn more about pharmacodynamic from ScienceDirect's AI-generated Topic Pages" href="https://www.sciencedirect.com/topics/biochemistry-genetics-and-molecular-biology/pharmacodynamics">pharmacodynamic</a> studies. Finally, compound <strong>I-52,</strong> showing only minor affinity to <a title="Learn more about AChE from ScienceDirect's AI-generated Topic Pages" href="https://www.sciencedirect.com/topics/pharmacology-toxicology-and-pharmaceutical-science/acetylcholinesterase">AChE</a>, was identified as a lead candidate with favorable behavioral and <a title="Learn more about neuroprotective from ScienceDirect's AI-generated Topic Pages" href="https://www.sciencedirect.com/topics/pharmacology-toxicology-and-pharmaceutical-science/neuroprotective-agent">neuroprotective</a> effects using open-field and <a title="Learn more about prepulse inhibition from ScienceDirect's AI-generated Topic Pages" href="https://www.sciencedirect.com/topics/biochemistry-genetics-and-molecular-biology/prepulse-inhibition">prepulse inhibition</a> tests, along with scopolamine-based behavioral and NMDA-induced hippocampal lesion models. Our data show that compound <strong>I-52</strong> exhibits low toxicity often associated with <a title="Learn more about NMDA receptor from ScienceDirect's AI-generated Topic Pages" href="https://www.sciencedirect.com/topics/biochemistry-genetics-and-molecular-biology/nmda-receptor">NMDA receptor</a> ligands, and low hepatotoxicity, often related to THA-based compounds.</p>
Figure 3 in Evaluation on reducing toxicity of fluoxastrobine with doped TiO2 nanoparticles
Figure 3. Mortality rates (%) determined in X. laevis embryos and tadpoles exposed to degradation products of FLX (5 mg L-1).
Figure 2 in Evaluation on reducing toxicity of fluoxastrobine with doped TiO2 nanoparticles
Figure 2. (A) LC-MS/MS spectra of 5 mg L-1 FLX with Mn–TiO in 0.15% wt v-1 catalyst in sol before irradiation and (B) after 15 h of 2 UV-C irradiation. (C) LC-MS/MS spectra of 5 mg L-1 FLX with S–TiO in 0.1%wt v-1 catalyst in sol before irradiation and (D) after 10 2 h of UV-C irradiation.
Code for manuscript "Organic ligands in whale excrement support iron availability and reduce copper toxicity to the surface ocean" by Monreal et al.
<p>.zip file containing GitHub repository titled "ligands-in-whale-excrement" (<a href="https://github.com/patrickmon38/ligands-in-whale-excrement/tree/main">https://github.com/patrickmon38/ligands-in-whale-excrement/tree/main</a>)<br><br><strong>README from GitHub: </strong></p> <div> <h3>Code used to generate figures for the manuscript "Organic ligands in whale excrement support iron availability and reduce copper toxicity to the surface ocean" by Monreal et al. are found in this repository.</h3> </div> <div> <p>In press at Communications Earth & Environment</p> <p> </p> </div> <p>Most data (all except .mzXML data) called in code is from Github_Data_For_Whale_Ligand_Manuscript.xlsx in this repository.</p> <p> </p> <p>Mass spec data from .mzXML files are has been depositied and is available for download in the Mass Spectrometry Interactive Virtual Environment (MassIVE). LC-ESI-MS (Orbitrap) and LC-FT-ICR-MS raw data can be accessed there under MSV000094994 (doi:10.25345/C50000B5D) and MSV000094995 (doi:10.25345/C5V98034P), respectively.</p> <p> </p> <p>html output from Rmarkdown file can be viewed directly at <a href="https://html-preview.github.io/?url=https://github.com/patrickmon38/ligands-in-whale-excrement/blob/main/Figures_for_GitHub_Whale_Excrement_Manuscript.html" rel="nofollow">https://html-preview.github.io/?url=https://github.com/patrickmon38/ligands-in-whale-excrement/blob/main/Figures_for_GitHub_Whale_Excrement_Manuscript.html</a>.</p> <p>If trying to run Rmarkdown on your own system, you will need to download the .xlsx and .mzXML files and change paths accordingly.</p> <p>Co-authors of this manuscript:</p> <h5>Patrick J. Monreal (University of Washington)</h5> <h5>Matthew S. Savoca (Stanford University)</h5> <h5>Lydia Babcock-Adams (National High Magnetic Field Laboratory)</h5> <h5>Laura E. Moore (University of Washington)</h5> <h5>Angel Ruacho (Univesrity of Washington)</h5> <h5>Dylan Hull (University of Washington)</h5> <h5>Logan J. Pallin (Unversity of California, Santa Cruz)</h5> <h5>Ross C. Nichols (Unversity of California, Santa Cruz)</h5> <h5>John Calambokidis (Cascadia Research Collective)</h5> <h5>Joseph A. Resing (Unviersity of Washington/CICOES/NOAA)</h5> <h5>Ari S. Friedlaender (Unversity of California, Santa Cruz)</h5> <h5>Jeremy Goldbogen (Stanford University)</h5> <h5>Randelle M. Bundy (University of Washington)</h5> <p> </p> <div> </div> <div><strong>If there are issues or questions with the code, author for contact is Patrick Monreal (<a href="mailto:pmonreal@uw.edu">pmonreal@uw.edu</a>).</strong></div>
Dataset related to article. "Nonphosphorylated tau slows down Aβ1–42 aggregation, binds to Aβ1–42 oligomers, and reduces Aβ1–42 toxicity"
<p>Figures presented in the paper and their data can be found in the corresponding prism files (www.graphpad.com).<br> The raw data and the picture files for most of the figures can be found in the folder with the corresponding figure name.</p>
Data & R Scripts - Jönander et al. (2022) Single substance and mixture toxicity of dibutyl-phthalate and sodium dodecyl sulphate to marine zooplankton. Ecotoxicol. Environ. Saf.
<p>Data and R scripts associated with:</p> <p>Jönander, C., Backhaus, T., Dahllöf, I. (2022) Single substance and mixture toxicity of dibutyl-phthalate and sodium dodecyl sulphate to marine zooplankton. Ecotoxicol. Environ. Saf.</p>
Fig.1 in The Use of Ciliates (Ciliophora) for Bioassay of the Toxicity of Insecticides
Fig.1. Changesinthespeciesrichnessofsoilciliatesafterapplicationofinsecticides "ConfidorExtra"(A) and "DecisProfi" (B) (exposure time 7days).
Structural conversion of α-synuclein at the mitochondria induces neuronal toxicity; Image data
<p>Lists of image sets included in <strong>"Structural conversion of α-synuclein at the mitochondria induces neuronal toxicity"</strong></p> <p> </p> <p>Duplex-1 and Duplex-2 Images</p> <p>Amyloid Fibril TIRFM Images (SNCA-A53T ImagesTIRF Images)</p> <p>TEM Fibril Images</p> <p>DLS Images </p> <p>SMLM Images 1 & 2</p> <p> </p> <p>CLEM Images</p> <ul> <li>FIB SEM Images (videos)</li> <li>TEM Images </li> </ul> <p> </p> <p>Live-cell imaging</p> <ul> <li>Superoxide Images</li> <li>MitoTracker® Red Images</li> <li>Membrane Potential (TMRM) Images </li> <li>Ca 2+ Images</li> <li>NADH Autofluorescence Images</li> <li>Cell Death Images</li> <li>Amytracker Images</li> <li>Cardiolipin Images</li> <li>FRET Images</li> </ul>
MRI data for "Stress-inducible phosphoprotein 1 (HOP/STI1/STIP1) regulates the spreading, aggregation, and toxicity of α-synuclein in vivo"
<p>Repository for magnetic resonance imaging data from the project titled "Stress-inducible phosphoprotein 1 (HOP/STI1/STIP1) regulates the spreading, aggregation, and toxicity of α-synuclein in vivo"</p> <p>Contains the pre-processed ex vivo T1-weighted images (Bruker 7T; 70 micron isotropic voxel resolution) for WT mice, M83 homozygous, and M83 homozygous mice with one copy of the TPR transgene. Full subject list can be viewed with the prado_MRI_M83dTPR_subjectlist_final.csv file.</p> <p>Whole brain region segmentations are available for these mice. These labels were generated using the MAGeT-Brain segementation pipleine (https://github.com/CobraLab/MAGeTbrain) and using a modified/merged version of the Allen brain atlas. The full list of regions included can be found in the file named Allen_brain_mapping_final.csv.</p> <p>See readme.txt file for more information</p>
Determination of traits responding to iron toxicity stress at different stages and genome-wide association analysis for iron toxicity tolerance in rice (Oryza sativa L.)
<p>This vcf file constitute underlying raw data material for the manuscript "Determination of traits responding to iron toxicity stress at different stages and genome-wide association analysis for iron toxicity tolerance in rice (Oryza sativa L.)". <br> The SNP genotype data came from a whole-genome resequencing and were called using the Nipponbare IRGSP 1.0 rice reference genome. SNPs with a miss rate greater than 30% and minor allele frequency (MAF) less than 5% were removed. Heterozygous alleles were also excluded. Finally, 160,498 SNPs were selected and used in the GWAS analysis. </p>
Figure 1 in Toxicity and ovicidal activity of different entomopathogenic fungi, Hirsutella extracts on Tetranychus urticae (Acari: Tetranychidae)
Figure 1. Accumulated mortality of T. urticae females at 24, 48 and 72 h after being fed with mulberry leaf discs treated with different concentrations of crude extract, six species of Hirsutella under residual effect bioassay. For each extract and mite, means followed by the same letter are not significantly different (p = 0.05; Tukey HDS test).
nlp2023_toxic_german
<p>The dataset was sourced from the Austrian newspaper DerStandard (www.derStandard.at) and provided in JSON file format. The dataset encompasses responses to articles published between November 4, 2021, and November 10, 2021 and consisted of 4473 postings belonging to 522 different articles. Only original comments were selected and responses to other comments were excluded. With 2818 nontoxic and 1655 toxic entries the dataset is not very unbalanced. Beside the comments and the binary class label, the date was partly also annotated with four different labels with the position in the text.</p> <p>These labels are</p> <ul> <li>Vulgarity Obscene, foul or boorish language that is inappropriate or improper for civilised discourse, directed or undirected.</li> <li>Target: Individual The target of a toxic comment is an individual</li> <li>Target: Group The target of a toxic comment</li> <li>Target: Other the target of an insult or an incite is not a person or a group of people is a group.</li> </ul>
FIGURE 2. CMM-V-10108, a in A Miocene cetacean vertebra showing a partially healed longitudinal shear-compression fracture, possibly the result of domoic acid toxicity or failed predation
FIGURE 2. CMM-V-10108, a Miocene pathological cetacean vertebra associated with the one shown in Figures 5 and 6. A. Anterior view showing a major shear-compression fracture with comminution. B. right lateral view, and C. posterior view showing the intact fused epiphysis.
ScienceDex guides
Understand access before you commit
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.