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343 results for “Redox”
Reversible H2 oxidation and evolution by hydrogenase embedded in a redox polymer film
<p>This Upload contains the source data sets of all measurements shown in the Nature Catalysis manuscript NATCATAL-20033655A.</p> <p>All folder and file names correspond to the respective figure numbers of the manuscript.</p>
Strong uptake of gas-phase organic peroxy radical (ROO•) by solid surfaces driven by redox reactions
<p>This repository contains publicly available data supporting the article *Strong uptake of gas-phase organic peroxy radical (ROO•) by solid surfaces driven by redox reactions*, Durif et al. (2024)</p>
Electrochemical data shown in A. Fasano, A. Jacq-Bailly, J. Wozniak, V. Fourmond, and C. Léger, « Catalytic Bias and Redox-Driven Inactivation of the Group B FeFe Hydrogenase CpIII », ACS Catalysis (2024). doi: 10.1021/acscatal.4c01352
<p>Text file of all the electrochemical data shown in the following paper: A. Fasano, A. Jacq-Bailly, J. Wozniak, V. Fourmond, and C. Léger, « Catalytic Bias and Redox-Driven Inactivation of the Group B FeFe Hydrogenase CpIII », ACS Catalysis (2024). <a href="dx.doi.org/10.1021/acscatal.4c01352" target="_blank" rel="noopener">doi: 10.1021/acscatal.4c01352</a></p>
Dataset of the publication: Redox and guest tunable spin-crossover properties in a polymeric polyoxometalate
<p>Dataset of the publication: Redox and guest tunable spin-crossover properties in a polymeric polyoxometalate</p> <p>DOI: 10.1039/d2sc05800f</p> <p>Palacios-Corella, M; García-López, V; Waerenborgh, JC; Vieira, BJC; Espallargas, GM; Clemente-León, M; Coronado, E</p> <p>Chem. Sci., 2023,14, 3048-3055</p>
Dataset - Spatially explicit linkages between redox potential cycles and soil moisture fluctuations
<p>This repository holds data collected during three lysimeter experiments where laboratory column scale lysimeters have been subjected to different wetting/drainage cycles. The lysimeters have been filled with forest soil in the Lausanne forest characterised by the SwissMEX project </p> <p>The following dataset contains soil redox potential and soil moisture measurements that have been continuously monitored in time for different depths. Pore water samples of specific dissolved chemicals have been collected at the end of each cycle. </p> <p> </p> <p>Specifically, this dataset is composed by the following files:</p> <ul> <li> "Lysimeter_configuration.png" illustrates the lysimeter used and the sensors scheme adopted.</li> <li>"METADATA.txt" contains specific information about each recorded variable and data point collected throughout the three experiments SM-B, SM-I1 and 2.</li> <li>Pore water analysis data</li> <li>Soil moisture and tension data</li> <li>Soil redox potential data</li> </ul> <p>We thank Pascal Froidevaux for providing the lysimeter used for SM-B experiment. The authors acknowledge key funding provided by the Swiss National Science Foundation through its grant number CRSII5 186422.</p> <p> </p> <p> </p>
Chloroplast redox state changes indicate cell-to-cell signalling during the hypersensitive response
<p>We performed detailed spatiotemporal analysis of chloroplast redox response to potato virus Y (PVY) infection in resistant <em>Ny</em><em>‐</em><em>1</em>-gene-bearing potato and its transgenic counterpart with impaired SA accumulation and compromised resistance. We found that the chloroplasts are highly oxidized in the cells adjacent to the cell death zone at different stages after virus inoculation in both genotypes. This hypothesis is further supported by highly induced formation of stroma filled tubules that extend from chloroplasts (stromules) in the cells adjacent to signalling cells. This dataset s a deposit of all the raw microscopy images of the study, plus the relevant metadata in ISA-tab compliant folder structure. </p> <p>After receiving reviews, we have made an additional experiment using a ROS inhibitor. The raw and processed data for this is in a separate file: _S_chlROS_inhibitor.zip</p> <p><br> <br> </p> <p><strong>Additional information about the microscopy images in this data deposit </strong></p> <ol> <li>Images of which name ends with <strong>ch00/ch01/ch02</strong> are maximum projections from Z-stacks for each ROI for each of three channels: chlorophyll fluorescence (ch00), GFP fluorescence after excitation with 405 nm laser line (ch01) and GFP fluorescence after excitation with 488 laser line (ch02), exported from Leica LAS X software.</li> <li>Only mesophyll cells are included in z-stack, except for the experiments with GFP-tagged PVY where additional z-stacks including both mesophyll and epidermal cells were produced ( »_2« added in the image name, see images with the comment »epidermal cells included in z-stack« in S_PhenodataRedox).</li> <li>Images of which name ends with <strong>ch00.tif</strong> and <strong>ch00.tif_ratio</strong> are analysed images, obtained using in-house Matlab script. These images were obtained by the analysis of ch00/ch01/ch02 images with the following steps: conversion to grayscale, filtering out pixels of low intensity, conversion to binary format using spatial adaptive thresholding, a round or erosion and dilation to remove single pixel noise around the chloroplasts, followed by size-based segmentation of individual chloroplasts. The ratios of fluorescence intensities 405/488 were then calculated for each pixel belonging to the chloroplast masks obtained in the previous step. Results were calculated per image (normalized to the fraction of pixels belonging to chloroplasts) and per individual chloroplast in each image.</li> <li>In the experiments with GFP-tagged PVY, due to high background signal in the cell death zone as a result of virus derived GFP fluorescence, signal in the 488 channel and 405/488 ratio (images named »scaled 488« and »405/488 in chloroplasts« in ch00.tif_ratio) in the cell death zone are not accurate.</li> <li>Figures of which name ends with <strong>ch00.tif_spatial_ROI1/ROI2</strong> show the 405/488 ratios in ROI1 or ROI2, determined for each pixel inside chloroplast masks for each Bin. See Image analysis in Methods for details.</li> <li>Experiment names and image names correspond to the names in S_PhenodataRedox. Details regarding experimental set-up and transgenic lines used are specified in S_PhenodataRedox.</li> </ol> <p>The Zenodo_reanalysis.zip file contains processed microscopic images in a new red/blue colormap. </p>
Influence of ion mobility on the redox and catalytic properties of Cu ions in zeolites
<ul> <li><strong>Data type</strong>: Experimental spectroscopic measurements and related elaboration from Figure 7</li> <li>Files are with filename extensions: <strong>txt</strong></li> <li>Information on <strong>origin of the data</strong>:</li> <li>Normalized Cu K-edge XANES of a Cu-CHA sample (Si/Al = 5, Cu/Al = 0.3), collected during heating from RT to 350 °C under a He flow. In situ data were collected at the BM23 beamline of the European Synchrotron Radiation Facility (ESRF, Grenoble, France) in a Microtomo reactor cell</li> <li>Cu L<sub>3</sub>-edge TEY NEXAFS spectra of of a Cu-CHA sample (Si/Al = 5, Cu/Al = 0.3), collected during heating from RT to 350 °C under a He flow. In situ data were collected at the APE-HE beamline of Elettra Sincrotrone Trieste (Basovizza, Italy) in a dedicated ambient pressure cell.</li> <li><strong>Information on</strong>:</li> <li>specialized abbreviations: <strong>XANES</strong> – X-ray absorption near edge structure, <strong>TEY</strong> - Total Electron Yield, <strong>NEXAFS</strong> – near edge X-ray absorption fine structure, <strong>CHA</strong> - chabazite</li> </ul>
Thermodynamic database and calculator of free energies and potentials for redox reactions involving iron minerals in aqueous media (IMTD)
<p>Database of free energies of formation for iron minerals and associated aqueous species, which are used in a tableu style spreadsheet to calculate free energies of redox reactions involving iron minerals, which in turn are used to calculate free energies and formal potentials for these reactions, under specified environmental conditions.</p> <p>The database and calculators were assembled by students and postdocs (Jeff Hudson, Ania Pavitt, Ying Lan, and Miranda Bradley) working under direction of Professor Paul G. Tratnyek at the Oregon Health & Science University, Portland, Oregon, USA. Drew Latta, Thomas Robinson, and Michelle Scherer contributed to the database and extended the calculations.</p> <p>Early versions of this tool were used in several publications, including (i) Fan, D., Y. Lan, P. G. Tratnyek, R. L. Johnson, J. Filip, D. M. O'Carroll, A. N. Garcia, and A. Agrawal. 2017. <em>Environ. Sci. Technol.</em> 51(22): 13070–13085. [DOI: 10.1021/acs.est.7b04177] and (ii) Bradley, M. J., and P. G. Tratnyek. 2019. <em>ACS Earth & Space Chemistry</em> 3(3): 688-699. [DOI: 10.1021/acsearthspacechem.8b00200].</p> <p>This tool is provided as a spreadsheet in .xlsx format. The file includes six sheets. The first contains background, constants, and calculations that apply throughout the remaining tabs. The second contains free energies of formation from various authoritative sources, and a mechanism for designating “recommend values”. The third contains a tableu that calculates free energies of redox reactions using the recommended free energy of formation and user-specified stoichiometries. The fourth calculates free energies and formal potentials of the redox reactions using the standard potentials, and specific solution conditions. The last tab summarizes previous published formal potentials from a variety of sources. </p> <p>While the database was checked thoroughly, it still is unlikely to be completely accurate. For critical applications, we recommend that you track-down the primary sources (listed on the first tab of the spreadsheet) and use them for data, conditions, and other caveats. Obviously, we do not accept any responsibility for what anyone does with information obtained from this document.</p> <p>In the future, if significantly corrections or additions are made to this document, we may publish it here as new versions. If the contributions of others result in major improvements, we are open to adding new authors to those versions. Feel free to contact us with corrections, suggests, or offers to help.</p> <p>The development of this version of the tool was funded through grants from the Strategic Environmental Research and Development Program (SERDP) and the U.S. Department of Energy.</p>
Data set for "A Magnesium Binding Site And The Anomeric Effect Regulate The Abiotic Redox Chemistry Of Nicotinamide Nucleotides"
<p>Data associated with Sebastianelli L, Kaur H, Chen Z, Krishnamurthy R, Mansy SS (2024) A magnesium binding site and the anomeric effect regulate the abiotic redox chemistry of nicotinamide nucleotides. Chem Eur J. 30, e202400411. DOI: 10.1002/chem.202400411 [<a href="https://chemistry-europe.onlinelibrary.wiley.com/doi/abs/10.1002/chem.202400411">link</a>]</p>
Dataset for "Electrodeposited p-Cu2O Films – Role of Redox-Active Compounds Under Photoelectrochemical Operation Revisited"
<p>The p-type semiconducting copper oxides CuO and Cu2O are of interest for the conversion of solar energy due to their medium wide bandgap. The position of their conduction band should allow for reductive processes in junctions with electrolytes under irradiation. In this work, on Cu2O, the efficiency of several such processes in competition with self-reduction was studied.<br>Thin films of Cu2O were synthesised via potentiostatic electrodeposition on FTO (fluorine doped SnO2 on glass) using aqueous electrolytes. Deposition parameters (electrolyte composition, electrode potential, temperature) had a great influence on electrode properties (phase purity, preferential orientation). Electrodeposited Cu2O films were p-type. In junctions with aqueous electrolytes, under electrical bias, cathodic and photocathodic currents passed which increased dramatically when reducible redox compounds were added. The influence of various redox couples (O2, H2O2, methylviologen) and their concentration in the electrolyte on the stability of the electrodes was studied.<br>Long time experiments showed that oxygen saturated and H2O2 containing electrolytes gave rise to constant photocurrents and no alteration of the electrodes was found by XRD. With the investigated redox couples, no product of interest was produced.</p>
Redox potential and related ancillary measurements from Lakkasuo raised mire in 2014-2016
<p>The dataset contains redox potential and related ancillary measurements from the Lakkasuo raised mire complex from 2014 to 2016. </p>
Dataset for the manuscript: "Elevated-Mn ChemCam Targets Illuminating Mn Redox Cycling and Diagenesis in the Bradbury Rise, Gale Crater, Mars"
<p><span>The dataset for the manuscript titled, “Elevated-Mn ChemCam Targets Illuminating Mn Redox Cycling and Diagenesis in the Bradbury Rise, Gale Crater, Mars” consists of a single CSV file. This CSV contains 1,539 rows, with one ChemCam observation point per row. The observation points in this file are from the ChemCam rock targets between martian solar days (sols) 1 and 600 of the MSL <em>Curiosity</em> rover mission that have at least one observation point with > 0.2 wt% MnO. Metadata and compositional data are provided for each row. The metadata includes the LIBS spectrum filename; the name of the target to which the observation point belongs; the class into which we grouped the target; the spacecraft clock value (timestamp) for the observation point; the sol on which the observation was taken; and the ChemCam sequence identifier; the observation point number within the sequence; the ChemCam-to-target distance (in meters); the laser power used for the LIBS measurements; the spectrum totals; and a binary column indicating whether the observation point has > 0.2 wt% MnO. The compositional data includes the oxide chemistry (oxide wt.%), RMSEP accuracy, and shot-to-shot standard deviation, for the major oxides SiO2, TiO2, Al2O3, FeOT, MgO, CaO, Na2O, K2O, as well as for MnO; the sum of oxides for each observation point is also provided.</span></p>
NMR, HPLC and HRMS data - General Cyclopropane Assembly via Enantioselective Transfer of a Redox-Active Carbene to Aliphatic Olefins
<p>Raw data for the article with the same title.</p> <p>ChemRxiv pre-print (<a href="https://doi.org/10.26434/chemrxiv.7436795">https://doi.org/10.26434/chemrxiv.7436795</a>)</p>
SC-XRD - General Cyclopropane Assembly via Enantioselective Transfer of a Redox-Active Carbene to Aliphatic Olefins
<p>Raw data of SC-XRD structures.</p> <p>ChemRxiv pre-print (<a href="https://doi.org/10.26434/chemrxiv.7436795">https://doi.org/10.26434/chemrxiv.7436795</a>)</p> <p> </p>
Enantioselective Assembly of Congested Cyclopropanes using Redox-Active Aryldiazoacetates - NMR, HRMS and X-ray Raw Data
<p>NMR, HRMS and single crystal X-ray diffraction raw data for the compounds in the manuscript ACS Catalysis 2019, DOI: <a href="https://doi.org/10.1021/acscatal.9b02615">https://doi.org/10.1021/acscatal.9b02615</a></p>
Data for article "Assembling diuranium complexes in different states of charge with a bridging redox-active ligand"
<p>This upload contains raw data (NMR, X-Ray, Elemental Analysis, AC & DC SQUID, EPR) files for the article.</p>
Green and Controllable Preparation of Cu/Zn Alloys Using Combined Electrodeposition and Redox Replacement
<p>Dataset of journal paper </p> <p>Green and Controllable Preparation of Cu/Zn Alloys Using Combined Electrodeposition and Redox Replacement</p> <p> </p>
Dataset: A Systematic Study on the Redox Potentials of Phenazine- Derivatives in Aqueous Media: A Combined Computational and Experimental Work
<p>Dataset for the results shown in the publication "A Systematic Study on the Redox Potentials of Phenazine-Derivatives in Aqueous Media: A Combined Computational and Experimental Work"</p>
Regional RedOx evolution during the Ediacaran Shuram carbon isotope excursion, Nafun Group, north Oman and southern salt basins Oman
<p><strong>Regional RedOx evolution during the Ediacaran Shuram carbon isotope excursion, Nafun Group, north Oman and southern salt basins Oman</strong></p> <p>Christian J. Bjerrum<sup>1</sup>, Simon R. Stenger<sup>1**</sup>, Anne-Sofie C. Ahm<sup>1***</sup>,</p> <p><em><sup>1</sup>Department of Geoscience and Natural Resource Management, Nordic Center for Earth Evolution, University of Copenhagen, Copenhagen K, Denmark</em></p> <p>*cjb@ign.ku.dk (corresponding author)</p> <p>**Now at the <em>Norwegian Geotechnical Institute, Trondheim, Norway</em></p> <p>***Now at <em>School of Earth and Ocean Sciences, University of Victoria, BC, Canada</em></p> <p>Geochemical dataset related to the regional RedOx evolution during the Ediacaran Shuram carbon isotope excursion. Geochemical analyses include iron-speciation, redox sensitive element and stable carbon and oxygen isotopes. The sub-regional redox changes likely are reflected in the ratio of highly-reactive Fe (FeHR) to total Fe (FeT) and pyrite Fe to FeHR, in combination with redox-sensitive element enrichments (Alcott et al., 2020; Bennett and Canfield, 2020; Poulton and Canfield, 2005).</p> <p></p> <p>Dataset samples are from outcrops in Jabal Akhdar area of northern Oman, and borehole cuttings in southern salt basins Oman (TM-6). Outcrops analyzed record an unusual complete representation of the onset of the Shuram excursion exposed along a tributary to Wadi Hajir just east of the Al Hijir village (23°12'12.0 N and 057°30'56.5 E). Samples from the South Oman Salt Basin are borehole cuttings from the TM-6 well, Petroleum Development Oman (PDO). The Shuram Formation in both sections represent the deepest water facies within sub-regional basins that where paleo-geographically separated by more than 800 km (cf. Le Guerroue et al., 2006). </p> <p></p> <p>From the base to the top the Khufai, Shuram and Buah Formations are part of the The Nafun Group. Limestones and dolostones as part of a prograding shallow marine ramp succession represent the Khufai Formation. The lower Shuram Formation consists of Alternating beds of laminated muddy marls to calcareous mudstones with occasional combined-flow cross-laminated climbing ripples, representing a distal offshore to offshore transitional paleodepositional setting (Le Guerroue et al., 2006). The beds of the lower Shuram Formation grade up into maroon−blue-green verdigris mudstones interbedded with occasional marls and muddy silt beds with combined-flow ripples that represent the middle Shuram Formation. The upper Shuram Formation is composed of interstratified carbonate marls and mudstones where carbonate content increases up section toward the basal Buah Formation.</p> <p></p> <p>During field work in 2015 the section was measured and sampled along the tributary to Wadi Hajir. For convenience the sub-sections are named Wadi Hajir 4, 5 and 6 (WH4-6). WH4 represents the upper part of the Khufai Formation, WH5 the lower Shuram Formation, while WH6 represent the lower part of the middle Shuram Formation. WH4 section is exposed on the southern side of the tributary canyon with a small gap of 0-1 m to the base of WH5. WH5 and WH6 represent a nearly continuous and fully exposed section on the northern side of the canyon.</p> <p>Geochemical dataset include bulk rock:</p> <p>Iron Speciation (Fe<sub>carb</sub>, Fe<sub>ox</sub>, Fe<sub>mag</sub>, Fe<sub>Py</sub>, Fe<sub>tot</sub>)</p> <p>Elements (Mg, Al, Si, K, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, As, Rb, Sr, Zr, Mo, Th)</p> <p>Stable isotopes d<sup>13</sup>C, d<sup>18</sup>O</p> <p>C(tot), C(org), S(tot).</p> <p>Global RedOx context of the dataset is presented in Ostrander et al. (2023)</p> <p><strong>Reference</strong></p> <p>Alcott, L.J., Krause, A.J., Hammarlund, E.U., Bjerrum, C.J., Scholz, F., Xiong, Y.J., Hobson, A.J., Neve, L., Mills, B.J.W., Marz, C., Schnetger, B., Bekker, A. and Poulton, S.W. (2020) Development of Iron Speciation Reference Materials for Palaeoredox Analysis. Geostandards and Geoanalytical Research 44, 581-591.</p> <p>Bennett, W.W. and Canfield, D.E. (2020) Redox-sensitive trace metals as paleoredox proxies: A review and analysis of data from modern sediments. Earth-Sci. Rev. 204, 103175.</p> <p>Le Guerroue, E., Allen, P.A. and Cozzi, A. (2006) Chemostratigraphic and sedimentological framework of the largest negative carbon isotopic excursion in Earth history: The Neoproterozoic Shuram. Formation (Nafun Group, Oman). Precambrian Res. 146, 68-92.</p> <p>Ostrander, C.M., Bjerrum, C.J., Ahm, A.-S.C., Stenger, S.R., Bergmann, K.D., El-Ghali, M.A.K., Harthi, A.R., Aisri, Z. and Nielsen, S.G. (2023) Widespread seafloor anoxia during generation of the Ediacaran Shuram carbon isotope excursion. Geobiology.</p> <p>Poulton, S.W. and Canfield, D.E. (2005) Development of a sequential extraction procedure for iron: implications for iron partitioning in continentally derived particulates. Chem. Geol. 214, 209-221.</p> <p></p>
Datasets : Unprecedented Aqueous Solubility of TEMPO and its Application as High Capacity Catholyte for Aqueous Organic Redox Flow Batteries
<p>Dataset of publication DOI: 10.1002/aenm.202301929 published in Advanced Energy Materials journal</p> <p>Despite the excellent electrochemical properties of non-functionalized 2,2,6,6-tetramethylpiperidine-1-oxyl (TEMPO), its use in aqueous organic redox flow battery (AORFB) is hindered to date due to its insolubility in water. However, in this study, an unprecedented solubility of 5.6 M is demonstrated in an aqueous solution of lithium bis(trifluoromethanesulfonyl)imide (LiTFSI), which is 80 times higher than in water (0.07 M). A computational study reveals that the unique interaction between TEMPO and TFSI is essential to achieve this record solubility. TEMPO catholytes are tested in symmetric flow cells, demonstrating high capacity (23.85 AhL<sup>-1</sup>), high material utilization (89%), and robust reversible performance with long-term stability (low capacity fading of 0.082%/day). When paired with sulfonated viologen anolyte ((SPr2)V), an AORFB with low capacity fading over cycling (0.60%/day, 0.048%/cycle) is achieved, constituting the first example of a non-functionalized TEMPO catholyte for AORFB. Notably, this solubilization strategy could be applied to other unexplored chemistries in aqueous electrolytes, leading to the development of new AORFBs</p>
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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.