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ShareScore release 0.9.0
Dataset results
11 results for “iron particle”
Raw data from Qin et al. (2018) "Modeling the kinetics of hydrogen formation by zerovalent iron: Effects of sulfidation on micro- and nano-scale particles"
<p>Raw hydrogen concentration vs. time data from Qin, H., X. Guan, J. Z. Bandstra, R. L. Johnson, and P. G. Tratnyek (2018) “Modeling the kinetics of hydrogen formation by zerovalent iron: Effects of sulfidation on micro- and nano-scale particles” Environ. Sci. Technol. 52(23): 13887-13896. [10.1021/acs.est.8b04436]</p> <p>This manuscript reports a large set of new concentration vs. time data for dihydrogen (H2) produced by corrosion of granular zerovalent iron (i.e., the hydrogen evolution reaction, HER) in aqueous media relevant to groundwater remediation. Four alternative kinetic models are evaluated by fitting the data using global non-linear regression. Details are given in the main text and supporting information of the (open access) manuscript. </p> <p>The data provided here are in two formats: (i) a .csv file that contains only data and labels, and (ii) a .pxp file that includes the data and graphs (without fits) in the same layout as figures in the original manuscript. The .pxp file was prepared with Igor Pro 8.02 (https://www.wavemetrics.com).</p>
Iron particles oxidation measurements - trajectories, cracking and temperature
<p>Data collected in Miniatura 6 project no 2022/06/X/ST8/01753 "Experimental investigation of combustion kinetics and cracking intensity of iron particles in high heating rate conditions" financed by National Science Centre, Poland</p>
Particle-size distribution of Iberian unfired potsherds from the Late Iron Age
<p>This data set contains 38 particle-size distributions (PSD) of unfired potsherds from the Iberian workshop of the Mas de Moreno (Teruel, Spain). The distributions were obtained by laser diffraction.</p> <p><strong>Method</strong></p> <p>The PSDs were measured using a LA-950V2 (HORIBA) laser granulometer.</p> <p>All the samples were pre-treated with hydrogen peroxide to remove organic matter. The samples were then dispersed in water using sodium hexametaphosphate and ultrasonication.</p> <p>The PSDs were calculated using the Mie solution to Maxwell's equation, with 1.33 as the water refractive index and 1.55-0.1i as the sediment refractive index.</p> <p><strong>Data description</strong></p> <ul> <li><em>sample:</em> sample reference;</li> <li><em>date:</em> date of the analysis;</li> <li><em>laboratory:</em> analysis laboratory;</li> <li><em>H2O2:</em> has the sample been pre-treated with hydrogen peroxide?</li> <li><em>HCl:</em> has the sample been pre-treated with chloridic acid?</li> <li><em>HMP:</em> has the sample been dispersed with sodium hexametaphosphate?</li> <li><em>ultrasonication:</em> duration of ultrasonic dispersion (seconds);</li> <li><em>0.011</em> to <em>3000.000: </em>relative amount (percent) for the given grain size (micrometers).</li> </ul>
Tracing topography-dependent diagenesis and pedogenesis with iron oxides and magnetic particles on a volcano
<p>Data supporting this research are available for people who engage in scientific research. Note that the data can not be used for any commercial activities.</p>
Tracking Inflammatory Cells Using Superparamagnetic Particles of Iron Oxide (SPIO) and Magnetic Resonance Imaging (MRI)
ClinicalTrials.gov study NCT01169935. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Cell Tracking Using Superparamagnetic Particles of Iron Oxide (SPIO) and Magnetic Resonance Imaging (MRI) - A Pilot Study
ClinicalTrials.gov study NCT00972946. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Different enrichment patterns of pedogenic magnetic particles modulated by primary iron-phosphorous input
<p>Data supporting this research are available for people who engage in scientific research. Note that the data can not be used for any commercial activities.</p>
A Safety Evaluation of the Use of Magnetic-guided Iron Particles
ClinicalTrials.gov study NCT01519076. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Delayed Cardiomyocyte Response to Total Body Particle Radiation Exposure – Identification of Regulatory Gene Network [iron]
GEO Series GSE68874. Mus musculus. 15 samples. Type: Expression profiling by array.
Delayed Cardiomyocyte Response to Total Body Particle Radiation Exposure - Identification of Regulatory Gene Network [iron]
We examined molecular responses using transcriptome profiling in isolated left ventricular murine cardiomyocytes to 90 cGy, 1 GeV proton (1H) and 15 cGy, 1 GeV/nucleon (n) iron (56Fe) particles 1, 3, 7, 14 and 28 days after exposure. Unsupervised clustering analysis of gene expression segregated samples according to the radiation (IR) response, and time after exposure with 56Fe-IR showing the greatest level of gene modulation. 1H-IR exposures showed little differential transcript modulation. Network analysis categorized the major differentially expressed genes into cell cycle, oxidative responses and transcriptional regulation functional groups. Transcriptional networks identified key nodes regulating expression. Individual transcription factors were inferred to be active at 1, 3, 7, 14 and 28 days after exposure. Validation of the signal transduction network by protein analysis showed that particle IR clearly regulates a long lived signaling mechanism for p38 MAPK signaling and NFATc4 activation. Electrophoresis mobility shift assays supported the role of additional key transcription factors GATA-4, STAT-3 and NF-kB as regulators of the response at specific time points. These data suggest that the molecular response to 56Fe-IR is unique and shows long-lasting gene expression in cardiomyocytes, up to 28 days after exposure. Additionally, proteins involved in signal transduction and transcriptional activation via DNA binding play a role in the response to high charge (Z) and energy (E) particles (HZE). Our study may have implications for NASA's efforts to develop heart disease risk estimates for astronauts safety via identification of specific HZE-IR molecular markers and for patients receiving conventional and particle radiotherapy. Transcriptome profiling in isolated left ventricular murine cardiomyocytes to 90 cGy, 1 GeV proton (1H) and 15 cGy, 1 GeV/nucleon (n) iron (56Fe) particles 1, 3, 7, 14 and 28 days after exposure.
Wind Energetic Particle Acceleration Composition Transport (EPACT) SupraThermal Energetic Particle Telescope (STEP) Differential, Directional Iron Fluxes, 10 min Data
The EPACT Instrument on Wind STEP - SupraThermal Energetic Particle Telescope measures Ion Fluxes of Protons (H) in 0.12.5 MeV Energy Range and He-Fe Nuclei in the ~0.032 MeV/nucleon Energy Ranges in two identical Telescopes, each with a Geometrical Factor of 0.4 cm^2 sr and a rectangular Field of View with an Angular Acceptance of 44° in Azimuth and 17° in Polar Angle.
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International Brain Laboratory public data
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OpenNeuro
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