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334 results for “arsenic”
Data from “A Mixed Method Approach to Understanding the Public Health Impact of a School-Based Citizen Science Program to Reduce Arsenic in Private Well Water”
Objectives We have approached the problem of low well water testing rates in Maine and New Hampshire communities by developing the All About Arsenic (AAA) project, which engages secondary school teachers and students as citizen scientists in collecting well water samples for analysis of arsenic and other toxic metals and supports their outreach efforts to their communities. Methods We assessed this project’s public health impact by analyzing student data relative to existing well water quality datasets in both states. In addition, we surveyed private well owners who contributed well water samples to the project to determine the actions taken to mitigate arsenic in well water. Data The data presented here are used in the analyses performed for the publication: "A Mixed Method Approach to Understanding the Public Health Impact of a School-Based Citizen Science Program to Reduce Arsenic in Private Well Water.” Additional data may be available at: The Anecdata Project Page: https://anecdata.org/projects/view/299 The project website: https://www.allaboutarsenic.org/
Dataset of scientific article "Variability in Arsenic Methylation Efficiency across Aerobic and Anaerobic Microorganisms"
<p>Dataset for journal paper entitled "Variability in Arsenic Methylation Efficiency across Aerobic and Anaerobic Microorganisms" (DOI: 10.1021/acs.est.0c03908).</p> <p><strong>Partial publication's abstract:</strong> "Microbially-mediated methylation of arsenic (As) plays an important role in the As biogeochemical cycle, particularly in rice paddy soils where methylated As, generated microbially, is translocated into rice grains. The presence of the arsenite (As(III)) methyltransferase gene (<em>arsM</em>) in soil microbes has been used as an indication of their capacity for As methylation. Here, we evaluate the ability of seven microorganisms encoding active ArsM enzymes to methylate As. Amongst those, only the aerobic species were efficient methylators. The anaerobic microorganisms presented high resistance to As exposure, presumably through their efficient As(III) efflux, but methylated As poorly. The only exception were methanogens, for which efficient As methylation was seemingly an artifact of membrane disruption."</p> <p>The files deposited include: the flow cytometry data and fluorescence microscopy pictures used to assess membrane disruption of the methanogen <em>Methanosarcina mazei</em>, for experimental details please refer to publication, and the supporting information of the publication. Files:</p> <ol> <li><strong>Figure 3_flowcytometry files.zip:</strong> flow cytometry measurements reported in Figure 3 of publication. Measurements were performed with a 5-laser LSRII SORP flow cytometer. SYBR Green I (SG) (Invitrogen) was excited by the Blue laser (488 nm) and detected using a 530/30 band pass filter. propidium iodide (PI) (Sigma) was excited by the YG laser (561 nm) and detected using a 610/20 band pass filter. 30’000 events per sample were analyzed into four populations (no fluorescence, SG, SG/PI, or PI). Cells could be assigned to the membrane-compromised population, based on the gating of double-stained and single-stained controls of glutaraldehyde- fixed and ethanol-permeabilized cells. Cytometric data were acquired and analyzed using BD TM FACSDiva software v. 8.0.1 (BD Biosciences, CA, USA). The files consist of the reports generated by BD TM FACSDiva software in .jpg format.</li> <li><strong>Figure S14_fluorescence microscopy files.zip:</strong> Fluorescence microscopy pictures in .lsm format of single-stained SG control (SG), single-stained PI control (PI), double-stained control (SG/PI), 16-days sample (16 days) and 20-day sample (20 days) of a <em>Methanosarcina mazei</em> culture grown with 10 μM As(III) as initial concentration. The pictures are published as Figure S14 of the publication. The pictures were taken using Zeiss LSM 700 in the upright configuration equipped with a Plan-Apochromat 63x/1.40 oil immersion objective. For more details please refer to supplementary information in publicaiton. Recommended software for .lsm format included in .zip file.</li> <li><strong>SI_tables_Viacava_et_al_for_publication:</strong> file in .xlsx format including the tables: Accession numbers for As(III)-efflux and ArsM proteins and genes; primers used in preparing mutants of <em>C. pasteurianum</em>; growth curves and growth rates values for all sampled cultures; relative abundance of flow-cytometry populations; ICP-MS settings for As analysis; primers for <em>arsM</em> gene amplifications; primers for RT-qPCR of <em>C. pasteurianum</em>; HPLC-ICP-MS spectrum values ; values of <em>arsM</em> and <em>acr3</em> expression in <em>C. pasteurianum</em> WT and <em>Δacr3</em>; and concentration of total soluble arsenic and soluble arsenic species in filtered medium from all sampled cultures.</li> <li><strong>SI_Viacava_et_al_for_publication:</strong> file in .pdf format including: <ol> <li>Materials and methods: total arsenic and arsenic speciation analysis; cloning the arsM genes and gene expression in <em>E. coli </em>AW3110 (DE3); growth conditions of <em>C. pasteurianum</em> H0D0R4, strain used for genetic modification; isolation of the <em>Δacr3</em> and <em>ΔpyrE::Δacr3</em> mutants; arsenic methylation by <em>C. pasteurianum Δacr3</em>; transcription of arsM in <em>C. pasteurianum</em> WT and <em>Δacr3</em>; and membrane-integrity assessment of <em>M. mazei</em> cells using flow cytometry.</li> <li>Figures: growth rate of each individual species; abiotic control growth curves; total soluble anaerobic bacterium culture; soluble arsenic species in filtered medium from anaerobic bacterial cultures grown with 50 μM As(III); soluble arsenic species in filtered medium and volatile arsenic species from an A. rosenii culture; soluble arsenic in filtered medium from <em>S. vietnamensis, M. mazei and M. acetivorans</em> cultures; soluble arsenic species in abiotic controls; spiked HPLC-ICP-MS spectra; growth and concentration of soluble arsenic species in ArsM-expressing <em>E. coli </em>AW3110 (DE3); fluorescence microscopy pictures of flow cytometry controls from the membrane-integrity assessment from a <em>M. mazei </em>culture grown with 50 μM As(III); expression of <em>arsM</em> and <em>acr3</em> in <em>C. pasteurianum</em> WT and <em>Δacr3</em> mutant; and alignment of ArsM proteins.</li> </ol> </li> <li><strong>README.txt:</strong> .txt file with this description text.</li> </ol>
Arsenic(III) photocatalytic oxidation kinetics (using TiO2 and composite TiO2/Fe2O3 photocatalysts)
<p>Data sets on the photocatalytic oxidation of arsenic(III) using TiO<sub>2</sub> and composite TiO<sub>2</sub>/Fe<sub>2</sub>O<sub>3</sub> photocatalysts.</p>
Annexes A and B to EFSA Scientific report "Chronic dietary exposure to inorganic arsenic"
<p><strong>Annex A-</strong> Contains the raw occurrence dataset on arsenic as extracted from the EFSA DWH on 30 April 2020 (no data cleaning applied), with the food samples presented in the scientific report as described in its section 2.1. Occurrence data. The data are provided in csv format. This dataset is compliant with EFSA SSD model and contains two additional columns documenting issues identified in the cleaning process (column: issue) and the action taken (column: action) to address the issue (e.g. deleted record or updated values in specific fields). The link to the catalogues of controlled terminologies can be found under "Related identifiers”. </p> <p><strong>Annex B-</strong> Contains summary statistics on occurrence data, consumption data, and dietary exposure assessment results.</p> <p>Table B1. Dietary surveys per country and age group available in the EFSA Comprehensive Database considered in the chronic dietary exposure assessment to inorganic arsenic.</p> <p>Table B2. Analytical data on iAs after data cleaning and analysis steps (13,608 analytical results).<br> Table B3. Occurrence values of inorganic arsenic in food (µg/kg) as used for the exposure assessment.<br> Table B4. Occurrence values of total arsenic in food (µg/kg).<br> Table B5. Summary of the chronic dietary exposure assessment to inorganic arsenic (µg/kg bw per day).<br> Table B6. Detailed chronic dietary exposure assessment to inorganic arsenic (µg/kg bw per day) by European dietary surveys and age classes.</p> <p>Table B7. Main contributing food groups (%) to the mean LB and UB chronic dietary exposure to inorganic arsenic across European dietary surveys and age classes.</p> <p>Table B8. Detailed mean contribution of food groups (%) to the mean LB and UB chronic dietary exposure to inorganic arsenic across European dietary surveys and age classes. </p>
Meta-omics-aided isolation of elusive anaerobic arsenic-methylating soil bacteria
<p>Data pertaining to the manuscript "<strong>Meta-omics-aided isolation of an elusive anaerobic arsenic-methylating soil bacterium"</strong> by Karen Viacava, Jiangtao, Qiao, Andrew Janowczyk, Suresh Poudel, Nicolas Jacquemin, Karin Lederballe Meibom, Him K. Shrestha, Matthew C. Reid, Robert L. Hettich and Rizlan Bernier-Latmani published in ISME journal.</p>
Extensive literature search on organic arsenic in food
<p>This record is a supplement to the external scientific report titled <em>Extensive literature search on organic arsenic in food </em>available at https://efsa.onlinelibrary.wiley.com/doi/epdf/10.2903/sp.efsa.2022.EN-7565</p> <p><strong>Annex A Summary tables</strong></p> <p><strong>Annex B - Evaluated references</strong></p> <p>The archive contains references grouped in 2 folders: included references and excluded references.</p> <p><strong>Annex C – Endnote library files</strong></p> <p>The archive contains:</p> <p>- the EndNoteTM file “EFSA_Arsen_complete” with all retrieved references after duplicate check organised on the one hand by individual literature databases and on the other hand by areas and substance group, as well as screening for relevance.</p> <p>- the EndNote file “EFSA_EndNote_summary tables” with all assigned relevant references for the summary tables which are organised by relevant area and substance group.</p>
Diverse arsenic-containing lipids in the surface ocean
<p>Arsenic is present at nanomolar levels throughout the ocean, and microbes assimilate this potentially toxic element due to its similarity to inorganic phosphorus. Although dissolved arsenic has been a focus of several oceanographic studies, the size and chemical character of the particulate arsenic pool is poorly understood. We measured particulate arsenic in five samples from the open ocean and determined the contribution of arsenic-containing lipids to this pool. Here we show that the accumulation of arsenic into lipids is a widespread phenomenon in the surface ocean. Particulate arsenic concentrations were 15 to 42 pmol L<sup><span>−</span>1</sup> with 7–20% of the particulate arsenic pool within arsenolipids. We found that arsenosugar phospholipids dominated the arsenolipid pools in our samples with a minor component of arsenohydrocarbons and other unidentified lipids. A significant portion of the arsenosugar phospholipids (up to 35%) were present as previously undescribed mixed acyl ether lipids, suggesting a bacterial source.</p>
Figure 1 in Accumulation of chromium, cadmium and arsenic in white-tailed sea-eagle feathers ( Haliaeetus albicilla) from the Danube Delta Biosphere Reserve and surrounding (Romania)
Figure 1. Geographical distribution of sampling points for WtSe (Haliaeetus albicilla) from DDBR and the surrounding areas.
Treatment of Chronic Itch in Patients Under Arsenic Exposure With Naloxone
ClinicalTrials.gov study NCT03751111. IPD Sharing: YES. Countries: 1. Publications: 1.
Diverse arsenic-containing lipids in the surface ocean
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Genome sequence and characterization of a freshwater photoarsenotroph, Cereibacter azotoformans strain ORIO, isolated from sediments capable of cyclic light-dark arsenic oxidation and reduction
Open the record for dataset details and reuse information.
Arsenic adsorption modelling: TiO2, Fe2O3 and composite TiO2-Fe2O3 sorbents - detailed characterisation and adsorption data sets
<p>Raw data, example files and templates for the research paper provisionally titled 'Improved Accuracy in the Surface Complexation Modelling of Arsenic on Multicomponent Sorbents Using Low Energy Ion Scattering'</p> <p>Included is</p> <ul> <li>materials characterisation data (TiO2, Fe2O3 and a TiO2-Fe2O3 composite)</li> <li>arsenic(III) and arsenic(V) adsorption data (both adsorption isotherms and pH adsorption edges)</li> <li>potentiometric titration data</li> <li>templates for preparing FITEQL input files from titration data and pH adsorption edges</li> <li>examples of FITEQL input and output files</li> </ul> <p>Characterisation techniques used include BET, XRD, FTIR, zeta potential, DLS, low energy ion scattering (LEIS), XPS and XRF. Data was primarily collected by Jay Bullen between 2016 and 2019, with assistance from named collaborators.</p>
Research data supporting "Atomic-Scale Patterning of Arsenic in Silicon by Scanning Tunneling Microscopy"
<p>Research data supporting the publication: Stock, T. J. Z, <em>et. al.</em>, <strong>2020</strong>, Atomic-Scale Patterning of Arsenic in Silicon by Scanning Tunneling Microscopy, <em>ACS Nano</em>, https://dx.doi.org/10.1021/acsnano.9b08943</p>
Data from: Single cell RNA-seq analysis reveals that prenatal arsenic exposure results in long-term, adverse effects on immune gene expression in response to Influenza A infection
<p>Arsenic exposure via drinking water is a serious environmental health concern. Epidemiological studies suggest a strong association between prenatal<i> </i>arsenic exposure and subsequent childhood respiratory infections, as well as morbidity from respiratory diseases in adulthood, long after systemic clearance of arsenic.<i> </i>We investigated the impact of exclusive prenatal arsenic exposure on the inflammatory immune response and respiratory health after an adult influenza A (IAV) lung infection. C57BL/6J mice were exposed to 100 ppb sodium arsenite<i> in utero,</i> and subsequently infected with IAV (H1N1) after maturation to adulthood. Assessment of lung tissue and bronchoalveolar lavage fluid (BALF) at various time points post IAV infection reveals greater lung damage and inflammation in arsenic exposed mice versus control mice. Single-cell RNA sequencing analysis of immune cells harvested from IAV infected lungs suggests that the enhanced inflammatory response is mediated by dysregulation of innate immune function of monocyte derived macrophages, neutrophils, NK cells, and alveolar macrophages. Our results suggest that prenatal arsenic exposure results in lasting effects on the adult host innate immune response to IAV infection, long after exposure to arsenic, leading to greater immunopathology. This study provides the first direct evidence that exclusive prenatal exposure to arsenic in drinking water causes predisposition to a hyperinflammatory response to IAV infection in adult mice, which is associated with significant lung damage.</p>
Alabarda em cobre arsenical
Esta alabarda em cobre arsenical, produzida na Idade do Bronze, foi encontrada por um trabalhador da pedreira que se localizava no sítio das Baútas, freguesia da Mina de Água, na Amadora. Este tipo de objeto mostra o início de uma sociedade patriarcal e militarizada. Faz parte do acervo do Museu Municipal de Arqueologia da Câmara Municipal da Amadora.  Source: Objaverse 1.0 / Sketchfab
Raw experimental data for hydrated arsenic(III)-oxide intercalation compound with ammonium chloride including raw diffraction data for CSD 2202825
<p>pg171_WW4_NH4ClAs2O3H2O.7z: raw diffraction data for CSD 2202825</p> <p>PXRD.7z: raw powder X-ray diffraction pattern for a sample containing intercalate <strong>Y<sub>NH<sub>4</sub>Cl</sub></strong> and its dehydrated counterpart</p> <p>WW9_TG-MS_DSC.7z: raw TG-MS and DSC data for intercalate <strong>Y<sub>NH<sub>4</sub>Cl</sub></strong></p> <p>15NssNMR.7z: raw ssNMR data for intercalates <strong>Y<sub>NH<sub>4</sub>Cl</sub></strong>, <strong>P<sub>NH<sub>4</sub>Br</sub></strong> and P<strong><sub>NH<sub>4</sub>I</sub></strong></p> <p> </p>
Arsenic-poor fluids promote strong As partitioning into pyrite
<p>The data presented here includes all tabulated data contained in the manuscript draft entitled "Extreme As partitioning into pyrite from low-As fluids" by Martin Kutzschbach, Frederik Dunkel, Christof Kusebauch, Ferry Schiperski, Frederik Börner, Henrik Drake, and Manuel Keith and the associated supplementary material (in .pdf "_Data_repository_Kutzschbach_etal_2024")</p> <p>Additionally, it includes:</p> <p>-the location of all investigated transects across the pyrite rims (.png_files; name is the # of the experiment)</p> <p>- the location of all segments assigned to the core phase assemblage (.png files; name is the # of the experiment + _core)</p> <p>-The elemental distribution across the transects (.xlxs file "transet locations")</p> <p>-The input code for the PhreeqC calculation of As-speciation presented in Figure 5 (.pqi file)</p> <p>-All literature data used to construct Figure 8 (in .pdf "_Data_repository_Kutzschbach_etal_2024")</p> <p>-The detailed results of the modelling of As sequestration from fluids by formation of pyrite as a function of fluid volume and DAs (py/fluid) values presented in Figure 9 (in .pdf "_Data_repository_Kutzschbach_etal_2024")</p> <p>-This is the abstract of the manuscript draft:</p> <p>Pyrite is a ubiquitous sulfide mineral found in diverse geological settings and holds great significance in the formation of Au deposits as well as the safe utilization of groundwater due to its remarkable ability to incorporate substantial amounts of As. However, despite its importance, there remains a dearth of fundamental data on the partitioning of As between pyrite and fluid, which is key for accurately modeling the As distribution in these environments.</p> <p>Here, we present new insights into the partitioning behavior of As between pyrite and fluid at conditions that mimic natural fluid systems. Pyrite was synthesized by replacement of natural siderite in hydrothermal experiments at 200°C and pH 5 applying a wide range of fluid As concentrations, spanning from 0.001 to 100 µg/g. The As distribution and concentration in synthetic pyrite was analyzed by quantitative LA-ICP-MS mapping providing a high spatial resolution and sensitivity at 2-3 µm image pixel size at a detection limit of ~1 µg/g at the single pixel scale. Pyrite-fluid partition coefficients (D<sub>As</sub><sup>(py/fluid)</sup>) between synthetic pyrite and experimental fluid agree with previously published data for high fluid As concentrations of 1 µg/g to 100 µg/g (D<sub>As</sub> < 2000). However, at low As concentrations in the experimental fluid (<1 µg/g), a steep increase in the D<sub>As</sub><sup>(py/fluid)</sup> values of up to ~30,000 was detected, demonstrating even stronger As partitioning into pyrite. This previously unknown relation holds significant implications for natural fluid systems which frequently exhibit similar As concentrations. Our findings contribute to a better understanding of As mobility and scavenging, which in turn is important for understanding the formation and fingerprinting of mineral deposits as well as for secure utilization of groundwater resources.</p>
Inorganic Arsenic Exposure Induces Sex Disparate Effects and Exacerbates Ischemia-Reperfusion Injury in the Female Heart
<p>Supplemental Tables S1-S3. <em>Echocardiographic parameters for male and female hearts, pre- and post-iAS exposure to 0 ppb (control), 10 ppb, 100 ppb or 1000 ppb iAS for four weeks.</em></p>
Study of Arsenic Trioxide in Small Cell Lung Cancer
ClinicalTrials.gov study NCT01470248. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Low Dose Arsenic Trioxide as a Potential Chemotherapy Protector
ClinicalTrials.gov study NCT01428128. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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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
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.