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1,016 results for “Precursors”
Colloidal-ALD Grown Hybrid Shells Nucleate via a Ligand–Precursor Complex
<p>Colloidal atomic layer deposition (c-ALD) enables the growth of hybrid organic–inorganic oxide shells with tunable thickness<br> at the nanometer scale around ligand-functionalized inorganic nanoparticles (NPs). This recently developed method has demonstrated improved stability of NPs and of their dispersions, a key requirement for their application.<br> Nevertheless, the mechanism by which the inorganic shells form is still unknown, as is the nature of multiple complex interfaces between the NPs, the organic ligands functionalizing the surface, and the shell. Here, we demonstrate that carboxylate ligands are the key element that enables the synthesis of these core–shell structures. Dynamic nuclear polarization surface-enhanced nuclear magnetic resonance spectroscopy (DNP SENS) in combination with density functional theory (DFT) structure calculations shows that the addition of the aluminum organometallic precursor forms a ligand–precursor complex that interacts with the NP surface. This ligand–precursor complex is the first step for the nucleation of the shell and enables its further growth.</p>
Dataset for "Metallosupramolecular polymers as precursors for platinum nanocomposites"
<p>Source data of the study reported in the publication entitled "Metallosupramolecular polymers as precursors for platinum nanocomposites". The data should be considered together with the published manuscript and the supplementary information file.</p>
Data used in a manuscript entitled "Large ensemble simulation for investigating predictability of precursor vortices of Typhoon Faxai in 2019 with a 14-km mesh global nonhydrostatic atmospheric model" submitted to Geophysical Research Letters
<p>This include a dataset used in a manuscript entitled “Large ensemble simulation for investigating predictability of precursor vortices of Typhoon Faxai in 2019 with a 14-km mesh global nonhydrostatic atmospheric model” by Yamada and co-authors, which is submitted to Geophysical Research Letters.</p> <p>Contact: Yohei Yamada (yoheiy@jamstec.go.jp)</p>
MD setup data for ansamer amanitin derivatives and precursors for atroposelective synthesis
<p>Setup files to reproduce the MD simulations for the amanitin derivatives <strong>4a </strong>and <strong>4b</strong> as well as the precursors <strong>3b</strong> and <strong>3c. </strong>The MD simulations were part of the study:</p> <p>G. Yao, S. Kosol, M. T. Wenz, E. Irran, B. G. Keller, O. Trapp, R. D. Süssmuth, <em>ChemRxiv</em> 2022, DOI 10.26434/chemrxiv-2022-ll8lq.</p> <p>For further instructions on the files, please refer to '0_README'.</p>
Simulated structures of ansamer amanitin derivatives and precursors for atroposelective synthesis
<p>a-amanitin and its derivatives are eight-membered, cyclic peptides that are additionally bridged with a tryptathionine cross-link. Their synthesis sometimes yields isomers, which haven't been classified unambiguously so far. Until now, it was not clear whether these isomers differing in the positioning of the trpytathionine bridge indeed exist and if yes, under which conditions they are formed and how they shall be named. In our work, we therefore investigated the occurrence of these isomers. We have identified the structure and the dynamics of the amanitin derivative <strong>4a </strong>and its isomer <strong>4b</strong>. Investigating the impact of the macrocyclisation site on the occurrence of this isomer, we published an optimised strategy for atroposelective synthesis (including precursors <strong>3b</strong> and <strong>3c</strong>).</p> <p>Here, we present the simulated structures of the ansamers <strong>4a</strong> and <strong>4b</strong>, which both are in very good agreement to crystal data, together with the precursors <strong>3b</strong> and <strong>3c</strong>. <strong>4a</strong> and <strong>4b</strong> are the amanitin derivatives, for whose classification we propose the term <em>ansamers</em>.</p> <p>For further instructions, please refer to 'README'.</p> <p>For the files required to reproduce the MD simulations, please refer to the Zenodo repository '<em>MD setup data for ansamer amanitin derivatives and precursors for atroposelective synthesis</em>' available under DOI: 10.5281/zenodo.7125315. </p>
Data, plotting scripts, and figures for "A Projective Method for Solving the Single-Group Space-Time Neutron Kinetics Equations with Precursor Advection"
<p>Contains all the files necessary for figure reproduction.</p>
Precursor dataset PDkhi
<p>Dataset for TotalControl flow database precursor simulation of a pressure-driven high Reynolds number boundary layer flow (Casename PDkhi).</p> <p>Further information, including description of the case and dataset can be found in the deliverable report at: </p> <p>Andersen SJ, Meyers J, Munters W, Sood I, Troldborg N. "Flow Database for reference wind farms part 1: precursor simulations"</p>
Precursor dataset PDk
<p>Dataset for TotalControl flow database precursor simulation of a pressure-driven high Reynolds number boundary layer flow (Casename PDk).</p> <p>Further information, including description of the case and dataset can be found in the deliverable report at: </p> <p>Andersen SJ, Meyers J, Munters W, Sood I, Troldborg N. "Flow Database for reference wind farms part 1: precursor simulations"</p>
Precursor dataset CNk4
<p>Dataset for TotalControl flow database precursor simulation of a conventionally neutral atmospheric boundary layer flow (Casename CNk4).</p> <p>Further information, including description of the case and dataset can be found in the deliverable report at: </p> <p>Andersen SJ, Meyers J, Munters W, Sood I, Troldborg N. "Flow Database for reference wind farms part 1: precursor simulations"</p>
Datasets used in van den Akker et al (2024) 'Present day mass loss rates are a precursor precursor for West Antarctic Ice Sheet Collapse
<p>This repository contains the default initialization and the continuation runs shown in the paper. </p>
Datasets and Model for "Age-Independent Oceanic Plate Thickness and Asthenosphere Melting from SS Precursor Imaging"
<p>The Earth’s asthenosphere is a mechanically weak layer characterized by low seismic velocity and high attenuation. The nature of this layer has been strongly debated. In this study, we process twelve years of seismic data recorded at the global seismological network (GSN) stations to investigate SS waves reflected at the upper and lower boundaries of this layer in global oceanic regions. We observe strong reflections from both the top and the bottom of the asthenosphere, dispersive across all major oceans. The average depths of the two discontinuities are 120 km and 255 km, respectively. The SS waves reflected at the lithosphere and asthenosphere boundary are characterized by anomalously large amplitudes, which require ∼12.5% reduction in seismic velocity across the interface. This large velocity drop can not be explained by a thermal cooling model but indicates 1.5%-2% localized melt in the oceanic asthenosphere. The depths of the two discontinuities show large variations, indicating that the asthenosphere is far from a homogeneous layer but likely associated with strong and heterogeneous small-scale convections in the oceanic mantle. The average depths of the two boundaries are largely constant across different age bands. In contrast to the half space cooling model, this observation supports the existence of a constant-thickness plate in oceanic regions with a complex and heterogeneous origin. This repository contains four datasets and one reference earth model from this study.</p>
Data of "Pen mates' interactions, potential precursors of damaging behaviours, object manipulation, straw rooting, and primary activity: A detailed data set in undocked pigs under dietary protein restriction"
<p>Damaging behaviours, such as tail biting, are common problems in pig production, compromising animal welfare and causing economic losses. Detailed studies are impeded by the difficulty of directly observing these behaviours. Tail biting is a broader phenomenon that begins long before lesions manifest, and behavioural problems caused by various stressors present themselves weeks before they escalate to damaging behaviour, resulting in serious injuries. Therefore, detailed data on behaviours, which can be considered precursors of tail biting, such as oral and nasal manipulation of conspecifics, should be collected. The present data were collected in the course of a large study on the genetic potential of protein efficiency, in which the crude protein content in the diet was reduced to 80% of the recommendations. Dietary protein reduction is a promising way to reduce nitrogen emissions in pig manure, but its implications for animal welfare are not yet clear. Pigs differ phenotypically and genetically in their ability to utilise dietary proteins; therefore, there might be individual differences in how they cope with the protein reduction. Here, we present detailed data of focal observations of 95 pigs at an experimental farm with undocked tails that were fed a protein-reduced diet. Pigs were observed directly in their home pens for 5 min each on four different days. All actions directed towards objects in the pen, interactions with and confrontations among pen mates, and straw rooting behaviour and general activity were recorded. After the behavioural observations, wounds on different parts of the body and the cleanliness of the pigs were noted. The protein efficiency of 94 pigs was obtained. The data set comprises six tables. The first table contains information on the animals, including the identities of their parents, farrowing group, sex, and protein efficiency. The other data tables contain four 5-min observations of each pig on 10 object-manipulation behaviours; 150 interaction behaviours, including reactions; 14 confrontation behaviours and their outcomes and reactions; 10 mounting behaviours, including reactions; two rooting behaviours; seven basic behaviours; and an index of general activity. The observations took place under comparatively good housing conditions. Pigs were not tail-docked and were given fresh straw daily, <em>ad libitum</em> access to feed, floor space above the legal requirements (only a partially slatted floor), and daily cleaning of pens, and they were closely monitored for signs of damaging behaviour; all of these are favourable conditions as they limit stress and the risk of damaging behaviour. These data can be used to further explore the relationships of specific behaviours and phenomena and their association with protein efficiency. The ethogram can be used as a template for further observations. Practitioners could use the data to support pigs’ need for occupation, such as by providing sufficient straw.</p>
Dataset for the Amyloid-beta precursor protein antibody screening study
<p>This project contains the following underlying data included in a study aiming at characterizing antibodies for the Amyloid-beta precursor protein. The study is available on Zenodo (https://doi.org/10.5281/zenodo.7971926).</p>
Data for: Dysregulation of mTOR signaling mediates common neurite and migration defects in both idiopathic and 16p11.2 deletion autism neural precursor cells
Open the record for dataset details and reuse information.
Quantifying Fatigue-Damage and Failure-Precursors using Ultrasonic Coda Wave Interferometry
<p>Data sets for the Publication "Quantifying Fatigue-Damage and Failure-Precursors using Ultrasonic Coda Wave Interferometry".</p>
Distinct locomotor precursors in newborn babies
<p>Dataset from the manuscript:</p> <p><strong>Distinct locomotor precursors in newborn babies</strong></p> <p>Francesca Sylos-Labini, Valentina La Scaleia, Germana Cappellini, Adele Fabiano, Simonetta Picone, Elena S. Keshishian, Dmitry S. Zhvansky, Piermichele Paolillo, Irina A. Solopova, Andrea d’Avella, Yury Ivanenko, Francesco Lacquaniti</p> <p><strong>Proceedings of the National Academy of Sciences</strong> Apr 2020, 201920984; DOI: 10.1073/pnas.1920984117</p> <p>http://www.pnas.org/cgi/doi/10.1073/pnas.1920984117</p>
Data for Precursor intensity-based label-free quantification software tools for Galaxy Platform.
<p><strong>Precursor intensity-based label-free quantification software tools for proteomic and multi-omic analysis within the Galaxy Platform.</strong></p> <p> </p> <p><strong>ABRF:</strong> Data was generated through the collaborative work of the ABRF Proteomics Research Group (<a href="https://abrf.org/research-group/proteomics-research-group-prg">https://abrf.org/research-group/proteomics-research-group-prg</a>). See Reference for details: Van Riper, S. et al. ‘<a href="http://cbs.umn.edu/sites/cbs.umn.edu/files/public/downloads/2016_ABRF_PRG_Poster_for_ASMS_20160501.pdf">An ABRF-PRG study: Identification of low abundance proteins in a highly complex protein sample</a>’ at the 64th Annual Conference of American Society of Mass Spectrometry and Allied Topics" at San Antonio, TX."</p> <p><strong>UPS:</strong> <strong>MaxLFQ Cox J, Hein MY, Luber CA, Paron I, Nagaraj N, Mann M.<a href="https://www.ncbi.nlm.nih.gov/pubmed/24942700/"> Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ.</a> Mol Cell Proteomics. 2014 Sep;13(9):2513-26. doi: 10.1074/mcp.M113.031591. Epub 2014 Jun 17. PubMed PMID: 24942700; PubMed Central PMCID: PMC4159666;</strong></p> <p><strong>PRIDE #5412; ProteomeXchange repository PXD000279: </strong>ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2014/09/PXD000279</p>
FIGURE 4 from paper JVST-B "Formation of CdSe quantum dots from single source precursor obtained by thermal and laser treatment"
<p>The dataset includes two files: the word file describes the type of sample and the procedures used to pick up the data; the excel file includes the raw data used to obtain the plots of figure 4.</p> <p>In the following is reported the description of figure 4 as wrote in the paper.</p> <p>Effect of the precursor concentration in films containing OA (a) and OAm (b). The effect of the precursor concentration on the QD’s size in the presence of OA and OAm is reported in (c) (OA and OAm red circles and green triangles, respectively).</p>
FIGURE 5 from paper JVST-B "Formation of CdSe quantum dots from single source precursor obtained by thermal and laser treatment"
<p>The dataset includes two files: the word file describes the type of sample and the procedures used to pick up the data; the excel file includes the raw data used to obtain the plots of figure 5.</p> <p>In the following is reported the description of figure 5 as wrote in the paper.</p> <p>Effect of the time on CdSe QD’s growth monitored through the PL spectra: (a) neat precursor; (b) precursor and OA; (c) precursor and OAm; and (d) trend of the size as a function of the annealing time.</p>
Data from: Preparation and structure of SiOCN fibers derived from cyclic silazane/PAA hybrid precursor
Ceramic matrix composite (CMC) materials have been considered a desired solution for lightweight and high temperature applications. Simultaneously, among all different CMC reinforcements, Polymer-Derived Ceramic (PDC) fibers have gained attention for the intrinsic thermal stability and mechanical strength with simple and cost-effective synthesis techniques. Here, carbon-rich silicon oxycarbide (SiOC) fibers were synthesized via hand-drawing and polymer pyrolysis of a hybrid precursor of 1,3,5,7-tetramethyl-1,3,5,7-tetravinyl-cyclotetrasilazane (TTCSZ) and polyacrylic acid (PAA). The type of silazane reported in this work is considered as a major precursor for SiCN, however it is unspinnable, due to its unfavorable physical properties (low viscosity) and chemical structure (cyclic rather than linear structure). The introduction of PAA to TTCSZ to create a hybrid precursor remarkably improved spinnability of the silazane and should be widely applicable to other unspinnable PDC preceramic polymers. Investigations on structural and compositional development of the fibers were mainly conducted via Raman spectroscopy, Fourier-Transform InfraRed spectroscopy (FTIR), Scanning Electron Microscopy (SEM), X-ray Photoelectron Spectroscopy (XPS), Nuclear Magnetic Resonance (NMR) and ThermoGravimetric Analysis (TGA) to determine spinnability, free carbon content, cross-linking and pyrolysis behavior of the fibers, respectively.
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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.