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1,084 results for “substrate”
Database for the Priority Program 2322 SoilSystems – Soils and substrates used in the first phase (2021-2024)
<p><span>The presented data set represents a comprehensive characterization of soil samples that were used in the German joint research priority program 2322 ”SoilSystems: Systems ecology of soils – energy discharge modulated by microbiome and boundary conditions” funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation). The joint research program <em><span>SoilSystems</span></em> aims to integrate a thermodynamic description of the soil system for the first time in order to gain a systemic view on energy and matter fluxes and their interactions with living and non-living soil components. </span><span>These include numerous aspects and parameters of soil (organic matter) chemistry, soil microbiology (including faunal trophic levels) and the new discipline of soil thermodynamics. In order to have a joint focus in the individual research activities, a ‘Common Experimental Platform’ has been set up. The provision of shared soil samples, substrates and incubation conditions should enable coherent and interlinked data to be obtained. </span><span>More information can be found here: <a href="https://soilsystems.net/">https://soilsystems.net/</a>. </span></p>
DATA for: Asgard archaea modulate potential methanogenesis substrates in wetland soil
<p>Data supporting the findings of this study, including the complete genomes of soil-associated Atabeyarchaeia and Freyarchaeia and their in situ metabolic profiles, are available.</p> <p><strong>Asgard archaea modulate potential methanogenesis substrates in wetland soil</strong></p> <p>Luis E. Valentin-Alvarado<sup>1,2,</sup><sup>†</sup>, Kathryn E. Appler<sup>3,</sup><sup>†</sup>, Valerie De Anda<sup>3,4</sup>, Marie C. Schoelmerich<sup>1,</sup><sup>‡</sup>, Jacob<sup> </sup>West-Roberts<sup>5</sup>, Veronika Kivenson<sup>9</sup>, Alexander Crits-Christoph<sup>1,2,</sup><sup>§</sup>, Lynn Ly<sup>6</sup>, Rohan Sachdeva<sup>1</sup>, David F. Savage<sup>1,7</sup>, Brett J. Baker<sup>3,4</sup>, and Jillian F. Banfield<sup>1,4,8,9,</sup>*</p>
Raw data: Stable isotopes of Hawaiian spiders reflect substrate properties along a chronosequence
<p>Data sets used to analyze N and C stable isotope ratios in spider tissues, leaf litter, and plant leaves originating from three sites along a substrate age gradient in Hawaii.</p>
Dataset used in manuscript: "Monolayer and thin h–BN as substrates for electron spectro-microscopy analysis of plasmonic nanoparticles "
<p>This file contains raw data for the manuscript:<br> "Monolayer and thin h–BN as substrates for electron spectro-microscopy analysis of plasmonic nanoparticles"<br> Tizei LHG et al, Applied Physics Letters 113, 231108 (2018).</p> <p>The data is electron energy loss spectroscopy (EELS) hyperspectral images of gold nanotriangles on different substrates.</p> <p>Data can be opened and manipulated using Hyperspy (www.hyperspy.org), Numpy and Matploplib libraries available in Python 3. The file formats used were HSPY (based HDF5 open standard) and MSA.</p> <p>Each folder contains the following data for all the triangles used in the manuscript:</p> <p>1) One annular dark field image of the triangle in HSPY format;<br> 2) One spectrum image aligned (the zero-loss speak is set to 0 eV) in HSPY format;<br> 3) Three spectra, one for each tip, already after deconvolution (20 steps using a home-made script in Digital Micrograph) in MSA format;<br> 4) The zero-loss spectrum used for the deconvolution of the data in MSA format;</p> <p>The file names have a specific format to facilite scripting:</p> <p>1) finishes with "Calibrated.hspy";<br> 2) finishes with "aligned.hspy";<br> 3) finishes with "TipX.msa" where X is 1, 2 or 3;<br> 4) finishes with "Summed.msa";</p> <p>Data acquisition parameters are described in the manuscript: Tizei LHG et al APL 113, 231108 (2018).</p>
Pharmacokinetic data for CYP3A4 probe substrates in healthy Humans.
<p>This dataset contains all extracted informations used in the article "Inter-ethnic differences in CYP3A4 metabolism: A Bayesian meta-analysis for the refinement of uncertainty factors in chemical risk assessment" (<a href="https://doi.org/10.1016/j.comtox.2019.100092">https://doi.org/10.1016/j.comtox.2019.100092</a>).</p>
Online Resources Chapter 3 - Decomposition of standing litter biomass in newly constructed wetlands associated with direct effects of sediment and water characteristics and the composition and activity of the decomposer community using Phragmites australis as a single standard substrate
<p>Online Resources to Chapter 3 "Decomposition of standing litter biomass in newly constructed wetlands associated with direct effects of sediment and water characteristics and the composition and activity of the decomposer community using Phragmites australis as a single standard substrate" of PhD thesis from Ciska Overbeek, "Peat formation on a former landfill - Production and decomposition of aquatic pioneer vegetation". </p> <p>Published by Overbeek et al in 2019 in Wetlands 39(1): 113-125. https://doi.org/10.1007/s13157-018-1081-y. </p>
Metabolic response of yellow mealworm larvae to two alternative rearing substrates
<p>The quantitative one-dimensional <sup>1</sup>H NMR representative spectra of lipid and polar metabolites fractions of Tenebrio molitor larvae fed two alternative dietary substrates described in the manuscript draft entiteld:</p> <p><strong>Metabolic response of yellow mealworm larvae to two alternative rearing substrates</strong></p>
Yeast solutions and hyperpolarization enable real-time observation of metabolized substrates even at natural abundance
<div>This data corresponds to the following paper:</div> <div> </div> <div>Title: Yeast solutions and hyperpolarization enable real-time observation of metabolized substrates even at natural abundance</div> <div>Journal: Analytical Chemistry</div> <div>Authors: Josh P. Peters, Charbel Assaf, Farhad Haj Mohamad, Eric Beitz, Sanjay Tiwari, Konrad Aden, Jan-Bernd Hövener and Andrey N. Pravdivtsev</div> <div> </div> <div>The data is organized with respect to the subfigures in figure 2 to 6.</div> <div>A description of acquisition parameters is provided in the "Acquisition parameters.xlsx" file for each dataset.</div> <div> </div> <div>Figure 2:</div> <div>- Overview of pyruvate metabolism in yeast cells using hyperpolarized and 13C labeled [1-13C]pyruvate. </div> <div>Hyperpolarized and thermally polarized spectra, if applicable, are included. </div> <div> </div> <div>Figure 3:</div> <div>- Overview of pyruvate metabolism in yeast cells using co-hyperpolarized [1-13C] and [2-13C]pyruvate at an n.a. of 13C. </div> <div>Hyperpolarized and thermally polarized spectra, if applicable, are included.</div> <div> </div> <div>Figure 4:</div> <div>- Overview of fumarate metabolism in yeast cells using hyperpolarized and 13C labeled [1,4-13C2]fumarate</div> <div>Hyperpolarized and thermally polarized spectra, if applicable, are included.</div> <div> </div> <div>Figure 5:</div> <div>- The fitted conversion exchange rate constants as a function of the yeast concentration. </div> <div>Hyperpolarized and thermally polarized spectra, if applicable, are included.</div> <div> </div> <div>Figure 6:</div> <div>- Metabolic data from pyruvate metabolism in yeast depending on the position of the yeast in the NMR tube. We </div> <div>Hyperpolarized and thermally polarized spectra, if applicable, are included.</div> <p> </p>
Figure 7 in Сarbon fluxes intensity from substrates and phototrophic consortiums of the photic zones in Montenegro caves
Figure 7. Bacterial biomass in the consortiums of the photic zones in Montenegro caves.
Figure 4 in Сarbon fluxes intensity from substrates and phototrophic consortiums of the photic zones in Montenegro caves
Figure 4. Micromycetes biomass in the consortiums of the photic zones in Montenegro caves.
Figure 9 in Сarbon fluxes intensity from substrates and phototrophic consortiums of the photic zones in Montenegro caves
Figure 9. Photorophic respiration in the consortiums of the photic zones in Montenegro caves.
Figure 2 in Сarbon fluxes intensity from substrates and phototrophic consortiums of the photic zones in Montenegro caves
Figure 2. Phototrophic biomass in the consortiums of the photic zones in Montenegro caves.
Figure 1 in Сarbon fluxes intensity from substrates and phototrophic consortiums of the photic zones in Montenegro caves
Figure 1. The consortiums of Montenegro caves.
Molecular surface coverage standards by reference-free GIXRF supporting SERS and SEIRA substrate benchmarking - Dataset
<p>This is the dataset of "Molecular surface coverage standards by reference-free GIXRF supporting SERS and SEIRA substrate benchmarking". </p> <p><a href="https://doi.org/10.1515/nanoph-2024-0222" target="_blank" rel="noopener">https://doi.org/10.1515/nanoph-2024-0222</a></p> <p>Part of this work was supported by the European project OpMetBat, code 21GRD01. The project has received funding from the European Partnership on Metrology, cofinanced from the the European Union's Horizon Europe Research and Innovation Programme, and by Participating States.</p>
Repository for the Method Article "Oriented artificial nanofibers and laser induced periodic surface structures as substrates for Schwann cells alignment"
<p>Repository containg the underlaying and extended data for the paper "Oriented artificial nanofibers and laser induced periodic surface structures as substrates for Schwann cells alignment".</p>
Supplementary materials for "High-Throughput Discovery of Substrate Peptide Sequences for E3 Ubiquitin Ligases Using a cDNA Display Method."
<p>The next-generation sequencing (NGS) data of the 5th rounds' samples for LX9 library and p53deg library. The csv files contain DNA sequences read out, amino acid sequences and their read counts in descending order. </p>
Safety and transfer of veterinary drugs from substrate to black soldier fly larvae
<p>Dataset belonging to Safety and transfer of veterinary drugs from substrate to black soldier fly larvae; https://doi.org/10.1016/j.animal.2024.101214</p> <p>Dataset contains larval weight and survival, and concentrations of the applied veterinary drugs and respective metabolites in start substrate, larvae and end substrate (frass/residual material). </p>
The heavy chain 4F2hc modulates the substrate affinity and specificity of the light chains LAT1 and LAT2
<p>Data to Kantipudi S., Jeckelmann J.-M., Ucurum Z., Bosshart P.D. and Fotiadis D. <em>Int. J. Mol. Sci. </em>(2020) <strong>21</strong>, 7573.</p>
Overriding Intrinsic Reactivity in Aliphatic C−H Oxidation: Preferential C3/C4 Oxidation of Aliphatic Ammonium Substrates
<p>Data underlying the figures in the publication “Overriding Intrinsic Reactivity in Aliphatic C−H Oxidation: Preferential C3/C4 Oxidation of Aliphatic Ammonium Substrates”, published in <em>Angew. Chem. Int. Ed.</em> <strong>2020</strong>, 59, 12387 –12391. <a href="https://onlinelibrary.wiley.com/doi/full/10.1002/anie.202004242">https://onlinelibrary.wiley.com/doi/full/10.1002/anie.202004242</a></p> <p>Table of contents:</p> <p><strong>1. Scheme 1- General Procedure</strong>; Word file with all general procedures for the synthesis of the compounds depicted in <em>Scheme 1.</em></p> <p><strong>2. Scheme 1 - NMR Spectra</strong>; Mnova file with all NMR spectra for the compounds depicted in S<em>cheme 1</em>.</p> <p><strong>3. Figure 2+3 + Table 1 - GC Calculation</strong>; Excel file with the calculations for the data depicted in <em>Figure 3</em> and <em>Table 1</em>.</p> <p><strong>4. Figure 2+3 + Table 1 - GC Calculation_2</strong>; Excel file with the calculations for the data depicted in <em>Figure 3</em> and <em>Table 1</em>.</p> <p><strong>5. Figure 3-Origin -Graphs</strong>; Origin file for the graphs depicted in <em>Figure 3</em>.</p> <p><strong>6. Paper Inside Active -3270 kJmol - Pymol Model</strong>; .pdb file with the Pymol model for the inner binding mode in F<em>igure 3</em>.</p> <p><strong>7. Paper Outside Active -3446 kJmol - Pymol Model</strong>; .pdb file with the Pymol model for the outer binding mode in <em>Figure 3.</em></p>
Fig. 2 in The flora of New Caledonia's calcareous substrates
Fig. 2. — Limestone pavement: Koumac.
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International Brain Laboratory public data
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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.