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2,318 results for “Synthesis”
Replication Data for Coloring Tetrahedral Semiconductors: Synthesis and Photoluminescence Enhancement of Ternary II-III2‑VI4 Colloidal Nanocrystals
<p>Ternary tetrahedral II-III2-VI4 semiconductors, where II is Zn or Cd, III In or Ga, and VI S, Se, or Te, are of interest in UV radiation detectors in medicine and space physics as well as CO2 photoreduction under visible light. We synthesize colloidal II-III2-VI4 semiconductor nanocrystals from readily available precursors and<br>ascertain their ternary nature by structural and spectroscopic methods, including 77Se solid-state NMR spectroscopy. The pyramidally shaped nanocrystals range between 2 and 12 nm and exhibit optical gaps of 2−3.9 eV. In the presence of excess anions on the particle surface, treatment with Lewis acidic, Z-type ligands results in better passivation and enhanced photoluminescence. Electronic structure calculations reveal<br>the most stable, lowest energy polymorphs and coloring patterns. This work will pave the way toward more environmentally friendly, ternary semiconductors for optoelectronics and electrocatalysis.</p>
Dataset of the publication: Unlocking room-temperature bistable spin transition at the nanoscale: the synthesis of core@shell [Fe(NH2trz)3(NO3)2]@SiO2 nanoparticles
<p>Dataset of the publication: Unlocking room-temperature bistable spin transition at the nanoscale: the synthesis of core@shell [Fe(NH2trz)3(NO3)2]@SiO2 nanoparticles</p> <p>DOI: 10.1039/d4dt00911h</p> <p>A. Regueiro, M. Marti-Carrascosa, R. Torres-Cavanillas, E. Coronado </p> <p>Dalton Trans., 53, 20, 8764-8771 (2024)</p>
Data and code associated with "Fourier synthesis optical diffraction tomography for kilohertz rate volumetric imaging"
<p>Imaging data and derived analysis data used in the figures of the manuscript "F<span>ourier synthesis optical diffraction tomography for kilohertz rate volumetric imaging"</span></p>
Synthesis and characterization of CsPbCl3 perovskite doped with Nd3+: structural, optical, and energy transfer properties
<div> <p>The purpose of this paper is to synthesize micrometric inorganic perovskite CsPbCl3:Nd3+ and investigate the impact of doping with rare earth ions on structural and optical properties, as well as energy transfer pathways between the host and dopant. Herein, we report the solid-state reaction synthesis of a concentration series of CsPbCl3:x%Nd3+ annealed in a nitrogen atmosphere. Additional doping of a material that already exhibits luminescence with an optically active ion increases its application potential. Structural features were determined using X-ray powder diffraction and Raman spectroscopy. Morphology studies performed with scanning electron microscopy images revealed micrometric, well-separated cubic-like crystallites with a good distribution of individual elements. Surprisingly, a photoluminescence (PL) study showed that only the blue emission appears when the material is excited with a diode operating in the UV range. Apparently, the emission of Nd3+ ions can only be obtained with direct excitation of the lanthanide. The photoluminescence excitation (PLE) spectrum monitored for Nd3+ emission confirmed the lack of energy transfer between the host and dopant. Possible explanations for this behavior have been put forth and substantiated by the first-principles electronic structure calculations in the framework of hybrid density functional theory.</p> </div>
Dataset from: Rapid stellar and binary population synthesis with COMPAS
<p>This data set is used to produce Figure 16 of the COMPAS Paper (<a href="https://arxiv.org/abs/2109.10352">Team COMPAS et al. 2021</a>).</p> <p>The file contains the output of 10,000,000 binaries evolved using COMPAS v02.21.00, using adaptive importance sampling (STROOPWAFEL) , sampling from a metallicity uniform in <span class="math-tex">\(\log(Z) \in [10^{-4},0.03]\)</span>. More details can be found in the `Run_Details` group.</p> <p>*****************************<br> Contents<br> *****************************</p> <ol> <li>COMPAS simulation output:<br> The hdf5 file Includes necessary information about the simulated binaries in the following groups:<br> <br> <strong>BSE_Double_Compact_Objects<br> BSE_Common_Envelopes<br> BSE_RLOF<br> BSE_Supernovae<br> BSE_System_Parameters<br> Run_</strong><strong>Details</strong><br> <br> We point the reader to the documentation at <a href="https://compas.science/docs">https://compas.science/docs</a>, for information and instructions regarding the contained data.<br> </li> <li><strong>Rate Data</strong><br> The hdf5 file contains 1 groups with BBH merger rate data for every BBH with an inspiral time that is smaller than the age of the Universe. This group contains a dataset "DCOmask" which can be used to point from the "DoubleCompactObjects" to the data contained in the respective rates datasets.<br> <br> We include the rates for one realization of the metallicity-dependent SFRD as discussed in the manuscript.<br> The metallicity-dependent SFRD used is the phenomenological metallicity-dependent SFRD as described in Neijssel et al. 2019, this contained in:<br> <strong>'Rates_mu00.035_muz-0.23_alpha0.0_sigma00.39_sigmaz0.0'</strong></li> </ol> <p>*****************************</p> <p>The rates were calculated by running ```FastCosmicIntegration.py``` from COMPAS's post-processing tools.<br> For a more detailed explanation of the workings of COMPAS's post-processing tools, please the docs <a href="https://compas.science/docs">https://compas.science/docs</a></p>
AutoDock and CB-Dock data for (NPA)6Zn3(H2O)2 in Synthesis, structural analysis, and docking studies with SARS-CoV-2 of a trinuclear zinc complex with N-phenylanthranilic acid ligands
<p>AutoDock 4.2 and CB-Dock data for (NPA)<sub>6</sub>Zn<sub>3</sub>(H<sub>2</sub>O)<sub>2</sub> with M<sup>pro</sup> from SARS-CoV-2 from PDB Id: 6LU7. </p>
NMR data for (NPA)6Zn3(H2O)2 in Synthesis, structural analysis, and docking studies with SARS-CoV-2 of a trinuclear zinc complex with N-phenylanthranilic acid ligands
<p><sup>1</sup>H, <sup>13</sup>C, COSY, HMBC, and HSQC NMR data in fid format for (NPA)<sub>6</sub>Zn<sub>3</sub>(H<sub>2</sub>O)<sub>2</sub> (NPA = 2-(phenylamino) benzoate) in DMSO-<em>d</em><sub>6.</sub></p>
Figure 89 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 89: Reconstruction of the maximum glacial extent during the high point of the last ice-age (26 – 20 thousand years ago). Figure adapted from the publication Geologische Bundesanstalt (Hrsg.) (2013): Der Alpenraum zum Höhepunkt der letzten Eiszeit – Posterkarte. Geologische Bundesanstalt, Wien.
Figure 90 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 90: Representation of the seasonal cycle of stratification and mixing in a dimictic lake throughout a year.
Figure 88 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 88: Water temperature in lakes of the Po river catchment (orange) were generally warmer than in lakes of the Rhone (green) and Rhine (red) catchments. The lakes on the northern edge of the Alps remain cooler in summer and the lakes in the south remain warmer in winter. Upper panel shows 95 % quartile and lower panel shows 5% quartile of monthly mean lake surface water temperatures based on remote sensing (Advanced Very High Resolution Radiometer; 1989 – 2014 [214]). Quar- tiles were used rather than true minimum/maximum to avoid the effects of outliers.
Figure 85 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 85: Histograms showing variation in lake surface area (left column), lake maximum depth (middle column) and height above sea level (altitude; right column) among the major catchments.
Figure 84 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 84: Distance among lakes by river in the Rhine (upper panel), Rhone (middle panel) and Po (lower panel) river catchments.
Figure 81 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 81: Depth distribution of fish weight (biomass per unit effort) in pelagic habitats to 50 m deep according to deep-set vertical nets (fish in the 3 m of net close to the lake floor were excluded).
Figure 82 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 82: Factors explaining differences in the fish species composition among pairs of lakes within each catchment. No clear driver of fish community composition emerged in the Rhone catchment. In the Rhine catchment, the distance between the lakes along rivers, as well as differences in altitude, explained differences in the species composition between lakes. Al- titude explained differences in fish species composition among lakes in the Po catchment (also when Poschiavo was excluded).
Figure 79 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 79: Proportion of non-native species by deep-set vertical nets among lakes. Native species are represented in grey. Upper panel shows proportion by abundance, lower panel proportion by biomass. The high relative biomass of this species in Upper Upper is one 7.5 kg fish.
Figure 83 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 83: The uniqueness of the lake fish community relative to the number of recorded native fish species (shown in left panel of Figure 25) compared with different apects of the lakes. Only the relationship for maximum total phosphorus was significant (R2 = 0.248, p = 0.013), and negative. Note that the horizontal axis of the plots of maximum depth, total phosphorus and maximum total phosphorus is displayed on a log scale. Lake surface area has been square-root transformed.
Figure 80 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 80: Depth distribution of fish weight (biomass per unit effort) in benthic habitats to 50 m deep according to CEN benthic nets.
Figure 77 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 77: Proportion of non-native species in benthic habitats shown by benthic CEN nets among lakes. Native species are represented in grey. Upper panel shows proportion by abundance, lower panel proportion by biomass. Note that the high relative abundance and biomass of Salmo trutta in Poschiavo is uncertain. These were mainly juvenile trout that could not be confidently identified to species and were assumed to be S. trutta for the purpose of this comparison.
Figure 87 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 87: The surface waters of lakes closer to sea level (lower altitude) were warmer in the cooler months (left), while the surface waters of higher elevation lakes tended to be cooler in the warmer months (right). Smaller lakes also tended to be cooler in winter (data not shown). Monthly mean lake surface water temperatures based on remote sensing (Advanced Very High Resolution Radiometer; 1989 – 2014 [214]). The 5% quartiles were used to avoid the effects of outliers.
Figure 78 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 78: Proportion of non-native species in open-water habitat shown by pelagic CEN nets among lakes. Native species are represented in grey. Upper panel shows proportion by abundance, lower panel proportion by biomass. Note only four fish were caught in pelagic CEN nets in Idro (three of which were Salmo trutta). Note also that the high relative abundance and biomass of Salmo trutta in Poschiavo is uncertain. These were mainly juvenile trout that could not be confidently identified to species and were assumed to be S. trutta for the purpose of this comparison.
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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)
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DANDI Archive for NWB datasets
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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.