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3,963 results for “oxides”
Mineral composition data for oxidized metasedimentary rocks of the Aegean region
<p>Mineral compositions determined using electron-probe microanalysis (EPMA) for oxidized metasedimentary rocks from the islands of Andros, Crete, Naxos, and Tinos, Aegean region, Greece. The analyses were done using the JEOL JXA-8530F field-emission gun EPMA in the Department of Earth and Planetary Sciences, Yale University. Mineral composition results are tabulated as follows. Table 1: Fe-Ti oxides; Table 2: Garnet; Table 3: Epidote; Table 4: Amphibole; Table 5: Clinopyroxene; and Table 6: Phengite. The general analytical and formula calculation procedures are described in Ague et al. (2022; see References).</p>
Supporting data set for: Simulations of the Electrochemical Oxidation of Shape-Selected Nanoparticle Catalysts
<p>This dataset contains input and output files for simulations of the oxidation of a set of shape-selected, 3 nm platinum nanoparticles associated with the manuscript found at https://arxiv.org/abs/2201.07605.</p> <p>The simulations are performed using a grand-canonical Monte-Carlo algorithm[1,2] in combination with the ReaxFF reactive force field method as implemented in the Amsterdam Density Functional (ADF) software package version 2017.106 by Software for Chemistry and Materials (SCM). The Pt/O ReaxFF force field parameterized by Fantauzzi et al. was used for the simulations.[3] Simulations were performed at oxygen chemical potential conditions corresponding to 200-1000 K at ultra-high vacuum (UHV, <em>p</em><sub>O2</sub> = 10<sup>-10</sup> mbar) and 400-1200 K at near-ambient pressure (NAP, <em>p</em><sub>O2</sub> = 1 mbar) conditions. The following nanoparticle shapes were used as input structures for the simulations: (111)-indexed octahedron, (100)-indexed cube, (110)-indexed dodecahedron, (111)- and (100)-indexed cuboctahedron, mixed-indexed sphere, and (730)-indexed tetrahexahedron.</p> <p>The folder structure is as follows:<br> Particle shape -> pressure condition -> temperature condition -> simulation input and output files</p> <p>The simulation input and output files are of the following filetypes:<br> control: Input parameters for the ReaxFF software.<br> control_MC: Input parameters for the GCMC subroutine that interacts with the ReaxFF software.<br> geo: Atomic input coordinates in BGF file format.<br> geo_MCXXXXXX: Atomic output coordinates in BGF file format and ReaxFF total energy result for GCMC step XXXXXX.</p> <p>Simulations were performed for a total of 25,000 iterations. Only accepted GCMC steps result in the creation of a geo_XXXXXX output file. Therefore, the index XXXXXX is not continuous since output files are not written at every iteration. Other ReaxFF-specific output has been filtered in order to declutter the dataset.</p> <p>[1] T. P. Senftle, R. J. Meyer, M. J. Janik, A. C. T. van Duin, J. Chem. Phys. 2013, 139, 044109.<br> [2] T. P. Senftle, M. J. Janik, A. C. T. van Duin, J. Phys. Chem. C 2014, 118, 4967–4981.<br> [3] D. Fantauzzi, J. Bandlow, L. Sabo, J. E. Mueller, A. C. T. van Duin, T. Jacob, Phys. Chem. Chem. Phys. 2014, 16, 23118–23133.</p>
Data archive for Anaerobic methane oxidation in a coastal oxygen minimum zone: spatial and temporal dynamics
<p>Data collected during annual sampling campaigns to the coastal oxygen minimum zone of Golfo Dulce, carried out in January-February 2018, 2019 and 2020. Methods and results are presented and discussed in Steinsdóttir et al. 2022. Anaerobic methane oxidation in a coastal oxygen minimum zone: spatial and temporal dynamics. Environmental Microbiology, in press, doi: 10.1111/1462-2920.16003</p> <p>The content of files is as follows:</p> <p>nutrient_and_methane_concentrations.csv - Concentrations of methane, nitrite, nitrate, and ammonium.</p> <p>methane_oxidation_rates.csv - Rates of anaerobic methane oxidation.</p> <p>kinetics_of_anaerobic_methane_oxidation.csv - Kinetics of anaerobic methane oxidation, carried out in 2019.</p> <p>methylococcales.fa - Methylococcales 16S rRNA amplicon sequences</p> <p>methanofastidiosa.fa - Methanofastidiosa 16S rRNA amplicon sequences</p>
Intrinsic Temporal Behavior of Titanium Oxide Memristors for Neuromorphic Systems: Raw dataset
<p><strong>Methodology</strong></p> <p>Experiments were conducted on in-house fabricated Pt/TiO<sub>2</sub>/Au structure with thickness of 15/25/20<em>nm</em> respectively. The fabricated structures were characterized using a 16 x 16 probe card mounted on a Cascade Microtech Summit 12000 Prober controlled via a ARC ONE DC I-V control system.</p> <p>Stimulation was conducted over five repeating cycles to demonstrate the behaviour of the resistance over time. Potentiation and depression were triggered by pulses of opposite polarity. The bias could potentially be altered to achieve a desired starting resistance.</p> <p>A total of five repeating cycles were conducted. Each experiment was conducted on a pristine device with 4V programming pulse width of 10ms and inter-pulse of 100ms. A total of 100 pulses were applied per direction. Each identical programming pulse was followed by a 0.1V non-invasive reading pulse for a fixed duration.</p> <p>Attached csv file include resistive values for three devices along with their corresponding pulse train and time.</p>
Electronic Supporting Information for Catalytic Ammonia Oxidation to Dinitrogen by a Nickel Complex
<p>The dataset provides electronic supporting information in the format of XYZ molecular files, formatted Gaussian checkpoint files, and cube files for atomic spin density distributions for selected complexes obtained while investigating the catalytic mechanism of ammonia oxidation to dinitrogen using a N-heterocyclic carbene containing nickelocene complex.</p> <p>The level of theory used for all calculations is omega-B97xD with def2TZVP basis set. All calculations were performed using the Gaussian16 suite of programmes.</p> <p><strong>Model Set 1</strong> contains the metal free compounds and were used to calculate the overall thermodynamics of the ammonia oxidation reaction.</p> <p><strong>Model Set 2</strong> corresponds to the most truncated, in vacuo optimized structures.</p> <p><strong>Model Set 3</strong> comprises from non-truncated, realistic structures embedded in polarizable continuum model of benzene.</p> <p> </p>
Nitric oxide (NO) data set (60--160 km) from SCIAMACHY nominal limb scans
<p><strong>Overview</strong><br> Contains the nitric oxide (NO) number densities (in cm<sup>-3</sup>) from 60 km to 160 km retrieved from SCIAMACHY nominal (~0--90 km) limb scans.</p> <p>SCIAMACHY is a UV-visible-near-infrared spectrometer which flies on ESA's Envisat and was operational from 08/2002 to 04/2012 (see Burrows et al., 1995 and Bovensmann et al., 1999 and references therein). The nominal limb mode was carried out daily (apart from outages and a few days dedicated to other measurement modes) from 08/2002 until the end of the mission. The limb scans were performed from ground to about 90 km tangent altitude, and the retrieval was performed on a 2.5° x 2 km latitude--altitude grid from 90°S--90°N and from 60 km--160 km. This data set comprises all SCIAMACHY nominal NO measurements sorted by date and year, each day comprised about 15 orbits. See the accompanying README for the dimension and variable descriptions.</p> <p>The NO retrieval was carried out at the Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany, and is described in Bender et al., 2017. It is adapted from the MLT NO retrieval described in Bender et al., 2013. We used the SCIAMACHY geo-located atmospheric spectra (SCI_NL__1P) version 8.02 provided by ESA via their data browser at<br> https://earth.esa.int/web/guest/data-access/browse-data-products.<br> The spectra were calibrated with ESA's `SciaL1C` command line tool available for download at<br> https://earth.esa.int/web/guest/software-tools/content/-/article/scial1c-command-line-tool-4073.</p> <p>The SCIAMACHY MLT NO data were previously compared to the results from ACE-FTS, MIPAS, and SMR in Bender et al., 2015, showing that all agree within the respective measurement uncertainties. This nominal data set here was not yet validated with other measurements but compares well to the SCIAMACHY MLT NO measurements below 90 km.</p> <p><strong>Acknowledgements</strong><br> The development of the retrieval was funded by the Helmholtz-society under the grant number VH-NG-624. The SCIAMACHY project, which was initiated by Professor Burrows in 1984, was funded by the German Aerospace Agency (DLR), the Netherlands Space Office NSO, formerly NIVR, and the Belgium ministry responsible for space. ESA funded the Envisat project. Professor Burrows of University of Bremen is the Principal Investigator. He and his research team comprising his colleagues in Bremen and international scientific collaborators led the scientific support and development of SCIAMACHY and the scientific exploitation of its data products.</p> <p>The SCIAMACHY instrument is developed by an industrial team headed by companies now known as Airbus SD on the German side and by Dutch Space on the Dutch side and included Belgium companies. The instrument and algorithm development is supported by the activities of the SCIAMACHY Science Advisory Group (SSAG), a team of scientists from various international institutions: University of Bremen (D), SRON (NL), SAO (USA), IASB (B), MPI Chemistry Mainz (D), KNMI (NL), University of Heidelberg (D), IMGA (I), CNRS-LPMA (F). Operational data processing is being performed by ESA and DLR-DFD within the ENVISAT ground segment. Support with respect to mission planning and operations is given by the SCIAMACHY Operations Support Team (SOST). The relevant work at the University of Bremen is funded by the University and State of Bremen.</p>
EXAFS spectra during formation of palladium oxides in alumina supported palladium nanoparticles
<p>This dataset contain extended X-ray absorption fine structure (EXAFS) spectra for 5%Pd/Al2O3 (named TO326) and 2%Pd/P4VP (named TO203) samples, measrured in situ with high time resolution during exposre of the samples to hydrogen and oxygen flows at different temperatures. The file Parameters.txt contain sample names, temperatures and times together with structural parameters obtained from EXAFS fitting. File Spectra.txt contain normalized EXAFS spectra (as rows) for each energy point (energies shown in the first row). Each row in Parameters.txt correspond to a row (spectrum) in Spectra.txt</p>
Selective Oxidation of 5-Hydroxymethylfurfural to 2,5-Diformylfuran in Biphasic Media using Immobilized Galactose Oxidase: Proof of Concept and Limitations
<p>The oxidation of 5-hydroxymethylfurfural (HMF) to 2,5-diformylfuran (DFF) is a key reaction in valorizing biomass. DFF is hardly soluble in water, while HMF is often obtained from biorefineries in crude wet organic fractions. Thus, the reaction is challenging for both biocatalysis performed in aqueous media, and for chemocatalysis where the presence of water often results in catalyst poisoning. Galactose oxidase (GalOx) can selectively oxidize HMF to DFF and displays promising activity in aqueous-organic media. In this study, GalOx was immobilized on ten carriers, assessing the immobilization yield, activity, and stability. Covalently immobilized GalOx catalyzed the oxidation of HMF to DFF in neat and water-saturated EtOAc, and in biphasic systems of various water contents. At 50 % v/v H<sub>2</sub>O, the reaction was conducted at a semi-preparative scale (50 mL) with no adverse effect on DFF yield. Some limitations arise, such as enzyme deactivation, and adsorption of DFF to the support, particularly in the aqueous fraction. Future options to upgrade the route may include designed stable enzymes under the presence of HMF/DFF, and the setup of microaqueous systems where DFF adsorption is minimized. The use of wet EtOAc media would be a promising approach in future biorefineries employing inexpensive crude wet organic fractions.</p>
Ambient air ozone concentrations using metal-oxide low-cost sensors: Spain and Italy, summer 2017
<p>Ozone concentrations in ambient air collected using low-cost sensor technologies, in the framework of EU project CAPTOR. Data collected during summer 2017 in NE Spain and N Italy. Sensors are metal-oxide. Data are calibrated using multiple linear regression, and validated against official reference data from each local air quality monitoring network. More details on the calibration and data validation may be found in A. Ripoll et al. / Science of the Total Environment 651 (2019) 1166–1179.</p> <p> </p>
Ambient air ozone concentrations using metal-oxide low-cost sensors: Spain and Italy, summer 2018
<p>Ozone concentrations in ambient air collected using low-cost sensor technologies, in the framework of EU project CAPTOR. Data collected during summer 2018 in NE Spain and N Italy. Sensors are metal-oxide. Data are calibrated using multiple linear regression, and validated against official reference data from each local air quality monitoring network. More details on the calibration and data validation may be found in A. Ripoll et al. / Science of the Total Environment 651 (2019) 1166–1179.</p>
NMR data - Mechanism and regioselectivity of the anionic oxidative rearrangement of 1,3-diketones towards all-carbon quaternary carboxylates
<p>NMR characterisation raw data for the publication:</p> <p>Mechanism and regioselectivity of the anionic oxidative rearrangement of 1,3-diketones towards all-carbon quaternary carboxylates</p>
The complex non-collinear magnetic orderings in Ba2YOsO6: A new approach to tuning spin-lattice interactions and controlling magnetic orderings in frustrated complex oxides
<p><strong>Project abstract</strong>: Frustrated magnets are one class of fascinating materials that host many intriguing phases such as spin ice, spin liquid and complex long-range magnetic orderings at low temperatures. In this work we use first-principles calculations to find that in a wide range of magnetically frustrated oxides, at zero temperature a number of non-collinear magnetic orderings are more stable than the type-I collinear ordering that is observed at finite temperatures. The emergence of non-collinear orderings in those complex oxides is due to higher-order exchange interactions that originate from second-row and third-row transition metal elements. This implies a collinear-to-noncollinear spin transition at sufficiently low temperatures in those frustrated complex oxides. Furthermore, we find that in a particular oxide Ba2YOsO6, experimentally feasible uniaxial strain can tune the material between two different non-collinear magnetic orderings. Our work predicts new non- collinear magnetic orderings in frustrated complex oxides at very low temperatures and provides a mechanical route to tuning complex non-collinear magnetic orderings in those materials. <br> <br> <strong>About this entry</strong>: We provide the input files of our DFT calculations for the studied complex oxides. The structures in POSCAR format and the INCAR files for all stabilized magnetic orderings in our study are all included. These files can be directly used into DFT calculations with VASP. Only the versions of PAW potentials are included in POT.info files owing to the VASP license restrictions.</p>
Tensile Properties of Flax Fibre Bundles with Graphene Oxide Coating
<p>In the current datasheet, authors report the effect of graphene oxide treatment on tensile behaviour of single flax fibre bundles. As graphene oxide is hydrophilic with many hydroxyl functional groups, it is expected to bond with technical fibres and increase the stress transfer in a flax yarn.</p> <p> Graphene oxide (GO) aqueous dispersion with 1.2 wt % is prepared based on the modified Hummer’s method. GO is physically adsorbed on fibres by immersion of flax yarns into the aqueous dispersion for 24 hr. Fibres are dried at 80 C for 2 hr followed by 48 hr at 60 C. To differentiate between the effect of GO treatment and the potential loss in the tensile strength and tensile stiffness of fibres, authors report the data in 4 subclasses:</p> <ul> <li>As received flax yarns (dried at 60 C for 48 hr): labelled ‘as received’</li> <li>Kept in deionised water for 30 min: tagged ’30 min’</li> <li>Placed in deionised water for 24 hr: marked ’24 hr’</li> <li>Flax fibres immersed in 1.2 wt % GO aqueous dispersion for 24 hr: labelled ‘GO’</li> </ul> <p>Tensile test of single natural fibres is a challenging measurement. This is mainly due to the hierarchical and nonhomogenous structure of single fibres and difficulty in their extraction. The test methods are not standard, and the final data is very scattered. As an alternative method, we report the tensile properties of flax fibre bundles based on the impregnated fibre bundle test (IFBT) [1].</p> <p>Materials and brief description of the methodology can be found in the datasheet under ‘method’ tab. Flax fibre bundles were extracted from AmpliTex 5009 flax fabrics kindly provided by Bcomp. The matrix was Epikote 828 LVEL epoxy resin with Dytek DCH-99 hardener.</p> <p>Impregnated fibre bundle tests were performed with Instron 5567 and 30 kN loadcell, with 120 mm gauge length and 4% min <sup>-1</sup> strain rate. The strain was measured by a 50 mm clip-on extensometer. The abrasive paper was placed without glue in between the testing clamps and the samples. All samples were stored one week before test in a controlled environment of RH 50 % and 25 C.</p> <p>In the current datasheet, authors report the effect of graphene oxide treatment on tensile behaviour of single flax fibre bundles. As graphene oxide is hydrophilic with many hydroxyl functional groups, it is expected to bond with technical fibres and increase the stress transfer in a flax yarn.</p> <p> Graphene oxide (GO) aqueous dispersion with 1.2 wt % is prepared based on the modified Hummer’s method. GO is physically adsorbed on fibres by immersion of flax yarns into the aqueous dispersion for 24 hr. Fibres are dried at 80 C for 2 hr followed by 48 hr at 60 C. To differentiate between the effect of GO treatment and the potential loss in the tensile strength and tensile stiffness of fibres, authors report the data in 4 subclasses:</p> <ul> <li>As received flax yarns (dried at 60 C for 48 hr): labelled ‘as received’</li> <li>Kept in deionised water for 30 min: tagged ’30 min’</li> <li>Placed in deionised water for 24 hr: marked ’24 hr’</li> <li>Flax fibres immersed in 1.2 wt % GO aqueous dispersion for 24 hr: labelled ‘GO’</li> </ul> <p>Tensile test of single natural fibres is a challenging measurement. This is mainly due to the hierarchical and nonhomogenous structure of single fibres and difficulty in their extraction. The test methods are not standard, and the final data is very scattered. As an alternative method, we report the tensile properties of flax fibre bundles based on the impregnated fibre bundle test (IFBT) [1].</p> <p>Materials and brief description of the methodology can be found in the datasheet under ‘method’ tab. Flax fibre bundles were extracted from AmpliTex 5009 flax fabrics kindly provided by Bcomp. The matrix was Epikote 828 LVEL epoxy resin with Dytek DCH-99 hardener.</p> <p>Impregnated fibre bundle tests were performed with Instron 5567 and 30 kN loadcell, with 120 mm gauge length and 4% min <sup>-1</sup> strain rate. The strain was measured by a 50 mm clip-on extensometer. The abrasive paper was placed without glue in between the testing clamps and the samples. All samples were stored one week before test in a controlled environment of RH 50 % and 25 C.</p>
Metabolomics data associated with "Glial swip-10 controls systemic mitochondrial function, oxidative stress, and neuronal viability via copper ion homeostasis"
<p>Raw feature tables used for metabolomic analysis of the <em>Caenorhabditis elegans</em> mutant <em>swip-10</em>. The data were generated using liquid chromatography coupled high-resolution mass spectrometry. Two different columns were used: HILIC (+ ESI) and C18 (-ESI), coupled to a Thermo Q-Exactive Orbitrap mass spectrometer. The feature tables were generated using open-source peak peaking and alignment R packages: apLCMS and xMAanalyzer. See more details in the associated manuscript.</p>
Dataset for the article "Influence of oxidative and consequential reductive annealing on the photoluminescence intensity, decay time and morphology of ZnO single-crystal faces".
<p>Dataset for the article "Influence of oxidative and consequential reductive annealing on the photoluminescence intensity, decay time and morphology of ZnO single-crystal facets".</p> <p>David John1,2, Zdeněk Remeš1, Radim Novák1, Štěpán Remeš1, Jakub Volf1,3,4, Oleg Babčenko1, Egor Ukraintsev5, Bohuslav Rezek5, and Maksym Buryi3</p> <p>1 Institute of Physics of the Czech Academy of Sciences, Cukrovarnická 10/112, 162 00, Prague, Czech Republic<br>2 Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University, Břehová 7, 115019, Prague, Czech Republic<br>3 Institute of Plasma Physics of the Czech Academy of Sciences, U Slovanky 2525/1a, 182 00, Prague, Czech Republic <br>4 Department of Inorganic Chemistry, University of Chemistry and Technology, Technická 5, Prague 6, 166 28, Czech Republic<br>5 Faculty of Electrical Engineering of the Czech Technical University, Technická 2, 160 00, Prague, Czech Republic</p> <p> </p> <p>Dataset description:</p> <p>08_08_2024_ZnO_41a_700C_O_CF4_Multi75_10x10um.0_00000 AFM data<br>08_08_2024_ZnO_41a_700C_O_CF4_Multi75_10x10um.0_00003 AFM data<br>16_08_2024_ZnO_700C_O_CF4Multi_10x10um.0_00001 AFM data<br>16_08_2024_ZnO_700C_O_CF4Multi_10x10um.0_00003 AFM data<br>afm zn AFM data<br>data phase shift fit phase shift data<br>grafy phase shift fit phase shift data<br>ZnO faces optical images</p>
Integration of High-Tc Superconductors with High-Q-Factor Oxide Mechanical Resonators (Dataset)
<p>Micro-mechanical resonators are building blocks of a variety of applications in basic science and consumer electronics. This device technology is mainly based on well-established and reproducible silicon-based fabrication processes with outstanding performances in term of mechanical <em>Q</em>-factor and sensitivity to external perturbations. Broadening the functionalities of micro-electro-mechanical systems (MEMS) by the integration of functional materials is a key step for both applied and fundamental science. However, combining functional materials with silicon-based devices is challenging. An alternative approach is directly fabricating MEMS based on compounds inherently showing non-trivial functional properties, such as transition metal oxides. Here, a full-oxide approach is reported, where a high-Tc superconductor YBa<sub>2</sub>Cu<sub>3</sub>O<sub>7</sub> (YBCO) is integrated with high <em>Q</em>-factor micro-bridge resonators made of single-crystal LaAlO<sub>3</sub> (LAO) thin films. LAO resonators are tensile strained, with a stress of about 350 MPa, show a <em>Q</em>-factor above 200k, and have low roughness. YBCO overlayers are grown ex situ by pulsed laser deposition and YBCO/LAO bridges show zero resistance below 78 K and mechanical properties similar to those of bare LAO resonators. These results open new possibilities toward the development of advanced transducers, such as bolometers or magnetic field detectors, as well as experiments in solid state physics, material science, and quantum opto-mechanics.</p>
RDF version of the data from Choi, JS. et al. Towards a generalized toxicity prediction model for oxide nanomaterials using integrated data from different sources (2018)
<p>This is an RDFied version of the dataset published in Choi, JS., Ha, M.K., Trinh, T.X. et al. Towards a generalized toxicity prediction model for oxide nanomaterials using integrated data from different sources. Sci Rep 8, 6110 (2018)</p> <p>The original dataset publication DOI: <a href="https://doi.org/10.1038/s41598-018-24483-z">https://doi.org/10.1038/s41598-018-24483-z</a></p> <p>The Original publication authors: Jang-Sik Choi, My Kieu Ha, Tung Xuan Trinh, Tae Hyun Yoon & Hyung-Gi Byun</p>
RDF version of the data from Anastasios G. Papadiamantis et al. Predicting Cytotoxicity of Metal Oxide Nanoparticles Using Isalos Analytics Platform (2020)
<p>This is an RDFied version of the dataset published in Papadiamantis, A.G. et al. Predicting Cytotoxicity of Metal Oxide Nanoparticles Using Isalos Analytics Platform. <em>Nanomaterials</em> <strong>2020</strong>, <em>10</em>, 2017.</p> <p>The original dataset publication DOI: <a href="https://doi.org/10.3390/nano10102017">https://doi.org/10.3390/nano10102017</a></p> <p>The Original publication authors: Papadiamantis, A.G.; Jänes, J.; Voyiatzis, E.; Sikk, L.; Burk, J.; Burk, P.; Tsoumanis, A.; Ha, M.K.; Yoon, T.H.; Valsami-Jones, E.; Lynch, I.; Melagraki, G.; Tämm, K.; Afantitis, A.</p>
Electrochemical and Spectroscopic Data supported by Computational Models for Exploring the Metal- and Ligand-Based Oxidation of Mackinawite Nanoparticles
<p>Supporting information to our study, where under anaerobic conditions, ferrous iron reacts with sulfide producing FeS precipitate, which can then undergo a temperature, redox potential, and pH dependent maturation process resulting in the formation of oxidized mineral phases such as gregite or pyrite. The dataset provide information about the chemical speciation of iron-sulfide by cyclic voltammetry, Raman and X-ray absorption spectroscopic techniques. Nanoparticulate FeS was found to get oxidized to a Fe<sup>3+</sup> containing FeS phase at -0.5 V vs. Ag/AgCl (pH = 7) and in a concomitant oxidation step, polysulfides are proposed to give a material described as Fe<sup>2+</sup><sub>(1−3x)</sub>Fe<sup>3+</sup><sub>(2x)</sub>S<sup>2-</sup><sub>(1-y)</sub>(S<sub>n</sub><sup>2-</sup>)<sub>y</sub>. The thermodynamic differences between ligand- and metal-based oxidation processes from density functional theory can be used to describe one- and two-electron electronic and structural transformations. These findings together point to the existence of a previously unknown, metastable FeS phase located between FeS and greigite (Fe<sup>2+</sup>Fe<sup>3+</sup><sub>2</sub>S<sup>2-</sup><sub>4</sub>) along a metal oxidation path, and Fe<sup>2+</sup>S<sup>2-</sup> and pyrite (Fe<sup>2+</sup>S<sub>2</sub><sup>2-</sup>) along a ligand oxidation path, respectively.</p>
Data_Fig1_Monitoring Changes in the Oxidizing Milieu in the Endoplasmic Reticulum of Mammalian Cells Using HyPerER
<p>Data of JB_10.21769_BioProtoc.4076_Figure 1,</p> <p>The Dataset (Original publication Doi:10.21769/BioProtoc.4076) contains the original figure as PNG-format (JB_10.21769_BioProtoc.4076_Fig1.PNG). Corresponding raw data from confocal microscopy measurements provided as two files (31003A_179400_10.21769_BioProtoc.4076_JB_Hyper_14_1/2.avi). Related information provided as one meta-data-file (31003A_179400_10.21769_BioProtoc.4076_JB_Hyper_14_M1.txt) in txt format and two files in pdf format (31003A_179400_10.21769_BioProtoc.4076_JB_Hyper_14_M2/3. pdf).</p>
ScienceDex guides
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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.