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1,029 results for “Absorption”
ARTS-crossfit: Absorption model coefficients
<p>ARTS-crossfit: Absorption model coefficients in NetCDF format. The data is generated with the <a href="https://github.com/atmtools/arts-crossfit/">ARTS-crossfit software package</a>.</p>
Analysis of Optical Losses in a Photoelectrochemical Cell: A Tool for Precise Absorptance Estimation
<p>-optical constants of all layers</p> <p>-SCOUT optical model file</p>
Boron elemental and isotopic determination via the BF diatomic molecule using high-resolution continuum source graphite furnace molecular absorption spectrometry
<p>This dataset contains the raw data corresponding to the figures of the publication DOI: 10.1039/d3ja00420a</p>
Room-temperature Quantum Nanoplasmonic Coherent Perfect Absorption
<p>Research data for the article <em>Room-temperature Quantum Nanoplasmonic Coherent Perfect Absorption</em>, to be published in <em>Nature Communications</em>.</p>
Constraining light absorption of brown carbon in China and implications for aerosol direct radiative effect
<p><span>B</span><span>rown carbon (</span><span>BrC) in China is of great interest to the regional and global climate due to its strong absorption of sunlight. However, </span><span>the contribution of BrC to total </span><span>carbonaceous </span><span>aerosol light absorption and its direct radiative effects (DRE) in China remains largely uncertain. To better assess its climate impact in China, we develop an explicit BrC scheme and implement it in a global climate model, which includes optical parameters of primary BrC derived from local measurements, secondary BrC absorption, and a photobleaching parameterization of BrC. By comparing with multi-type observational data, we find that with the implementation of this scheme, the model captures the seasonal variations of BrC light absorption well in China. The model estimates that </span><span>BrC contributes </span><span>19</span><span>% and </span><span>12</span><span>% to the total light absorption of carbonaceous aerosol in China in winter and summer, resulting in 0.</span><span>110</span><span> W m<sup>-2</sup> and 0.</span><span>205</span><span> W m<sup>-2</sup> of DRE, respectively.<span> </span></span></p>
Backscatter tuned laser absorption spectroscopy in additive manufacturing
<p>Raw data accompanying our paper </p> <p><strong>Backscatter absorption spectroscopy for process monitoring in powder bed fusion</strong></p> <p> </p>
Determination of secondary species in solution through pump-selective transient absorption spectroscopy and explicit-solvent TDDFT
<p>Explicit and implicit solvent TDDFT of alizarin and tautomers of alizarin in methanol. Transient electronic absorption spectroscopy of alizarin in methanol at different pH values. </p>
X-ray absorption data and microscopic images of "Atomically dispersed iron(3+) sites catalyze efficient CO2 electroreduction to CO"
<p>XANES and EXAFS data (Figure 1F-H, Figure 3A-B, Figure S2F-H, Figure S3H-I, Figure S10A-B, Figure S11A-B,E-F, Figure S12A, Figure S14D-E)</p> <p>Microscopic images (Figure 1A-D, Figure S2B,D, Figure S4A-B,D-E, Figure S9A-C,E Figure S13A-D)</p> <p>of the research paper 'Atomically dispersed iron(3+) sites catalyze efficient CO2 electroreduction to CO'.</p>
Data set Absorption coefficients of Lead Iodine perovskites using 14 different organic cations
<p>Dataset provided as suplementary material of the article published in Solar Energy Material and Solar Cell: https://doi.org/10.1016/j.solmat.2019.110022.</p> <p>File description:The way to obtain the files described below is detailed in the methodology section in the article</p> <p>SALIDA.A-PbI3.Total (A=Ac, Az, Di, Et, Fo, Gu, Hy1, Hy2, Im, Is Me, Pr, Te, Tr)</p> <p>Date files corresponding to the total absorption coefficients for the 14 organic cations labelled as A.</p> <p>First | second column: energy (eV) | 2*absorption coefficient (cm-1)</p>
Single-shot multi-keV X-ray absorption spectroscopy using an ultrashort laser wakefield accelerator source
<p>The data contained in this repository was used to generate the figures for the publication "Single-shot multi-keV X-ray absorption spectroscopy using an ultrashort laser wakefield accelerator source".</p>
Sound Absorption Coefficients of Natural Materials Database
<p>This database is a working compilation of the sound absorption coefficients (α) of various natural materials for the octave band frequencies (125, 250...4000 Hz), when data is available. Additional physical properties of these materials, including thickness, density, airflow resistivity, and noise reduction coefficient (NRC) are included when available. Examples of materials in the database include kenaf, fibers, wood, food waste products (corn husk, fruit stone wastes, etc.), and animal byproducts (chicken feathers, sheep wool, etc.). Additionally, reference links are also included for each material, for easy reference to the original work/data.</p> <p>The data was gathered from published results in peer-reviewed scientific journals, whether through the papers' graphs/figures, which were then analyzed using the PlotDigitizer tool, or the papers' data tables. The aim of this database is to provide a central location of acoustical data for sustainable materials, in the hopes that researchers, scientists, teachers, students, or interested members of the public can easily access and utilize this data, whether for acoustical, environmental, sustainability, engineering, physics, mathematical, computational, or personal purposes. </p>
Accurate Determination of the Uniaxial Complex Refractive Index and the Optical Band Gap of Polymer Thin Films to Correlate their Absorption Strength and Onset of Absorption
<p>The uploaded datasets contain complex refractive indices of polymer thin films and a glass substrate and are published in connection with the following article:</p> <p>Kamptner, Scharber, Schiek.<br>Accurate Determination of the Uniaxial Complex Refractive Index and the Optical Band Gap of Polymer Thin Films to Correlate their Absorption Strength and Onset of Absorption.<br>ChemPhysChem 2024.</p> <p><a href="https://doi.org/10.1002/cphc.202400233">https://doi.org/10.1002/cphc.202400233</a></p> <p> </p> <p><strong>F8BT</strong> (or PFBT): Poly(9,9-dioctylfluorene-alt-benzothiadiazole).</p> <p><strong>MDMO-PPV</strong> (or OC1C10-PPV): Poly-[2-(3,7-dimethyloctyloxy)-5-methyloxy]-para-phenylene-vinylene.</p> <p><strong>PBDB-T-2F</strong> (or PBDB-T-F, PBDB-TF, PM6): Poly[(2,6-(4,8-bis(5-(2-ethylhexyl-3-fluoro)thiophen-2-yl)-benzo[1,2-b:4,5-b’]dithiophene))-alt-(5,5-(1’,3’-di-2-thienyl-5’,7’-bis(2-ethylhexyl)benzo[1’,2’-c:4’,5’-c’]dithiophene-4,8-dione)].</p> <p><strong>PDCBT</strong>: Poly[2,2''''-bis[[(2-butyloctyl)oxy]carbonyl][2,2':5',2'':5'',2'''-quaterthiophene] -5,5'''-diyl].</p> <p><strong>PTB7</strong>: Poly[[4,8-bis[(2-ethylhexyl)oxy]benzo[1,2-b:4,5-b']dithiophene-2,6-diyl][3-fluoro-2-[(2-ethylhexyl)carbonyl]thieno[3,4-b]thiophenediyl]].</p> <p><strong>ZZ50</strong> (or c-PCPDTBT): Poly[2,6-(4,4-bis-(2-ethylhexyl)-4H-cyclopenta[2,1-b;3,4-b']dithiophene)-alt-4,7(2,1,3-benzothiadiazole)].</p> <p><strong>float glass</strong> objective slide (Marienfeld) "tin" and "air" side.</p>
Salt marsh litter quality and decomposition under sea-level rise scenarios: from leaves to fine absorptive roots
Open the record for dataset details and reuse information.
Supplementary Table S1. Combined analysis of variance containing the degrees of freedom (DF), mean squares (MS), P value (P val.), mean, coefficient of experimental variation (CEV%) and selective accuracy (SA) for the traits of luminosity (L*), chromaticity a* (a*), chromaticity b* (b*), grain length (length, mm), grain width (width, mm), grain thickness (thickness, mm), mass of 100 grains (Mass, g), normal grains (Ng, %), water absorption (absorption, %), cooking time (Ct, min:s), and concentrations of potassium (K, g kg-1 dry matter - DM), phosphorus (P, g kg-1 DM), calcium (Ca, g kg-1 DM), magnesium (Mg, g kg-1 DM), iron (Fe, mg kg-1 DM), zinc (Zn, mg kg-1 DM), and copper (Cu, mg kg-1 DM) obtained in 25 common bean cultivars evaluated in four experiments carried out from 2019 to 2021
<p><strong><span>Table S1.</span></strong><span> Combined analysis of variance.</span></p> <p><strong><span>Indirect selection for multiple technological and nutritional traits in common bean cultivars under different degrees of multicollinearity</span></strong></p> <p><strong><span>Bragantia, 2024.</span></strong></p>
Data for Simulating strong-field electron-hole dynamics in solids probed by attosecond transient absorption spectroscopy
<p>These are the source data for <em>Simulating strong-field electron-hole dynamics in solids probed by </em><em>attosecond transient absorption spectroscopy</em>. A preprint is available at: https://arxiv.org/abs/2409.01033. A readme.txt file is included with the data.</p>
X-ray transient absorption reveals the 1Au (nπ*) state of pyrazine in electronic relaxation, data files
<p>Electronic relaxation in organic chromophores often proceeds via states not directly accessible by photoexcitation. We report on the photoinduced dynamics of pyrazine that involves such states, excited by a 267 nm laser and probed with X-ray transient absorption spectroscopy in a table-top setup. In addition to the previously characterized <sup>1</sup>B<sub>2u</sub> (ππ*) (S<sub>2</sub>) and <sup>1</sup>B<sub>3u</sub> (nπ*) (S<sub>1</sub>) states, the participation of the optically dark <sup>1</sup>A<sub>u</sub> (nπ*) state is assigned by a combination of experimental X-ray core-to-valence spectroscopy, electronic structure calculations, nonadiabatic dynamics simulations, and X-ray spectral computations. </p> <p>The present material contains files produced in the course of data acquisition and the output of the theoretical simulations.</p>
ESPRESSO spectra of HE0515-4414 and absorption profile fits
<p>VLT/ESPRESSO spectra of HE0515-4414 and absorption profile fits associated with Murphy et al. (2021, A&A, submitted).</p> <p>This is the first release of this repository. It was prepared just prior to submission of the associated paper to Astronomy & Astrophysics in mid-September 2021.</p>
The Influence of H2O Pressure Broadening in High Metallicity Exoplanet Atmospheres: Absorption Cross-section dataset
<p>In this study, the pressure-broadened H<sub>2</sub>O absorption cross-sections (ACS) data are computed for two set of broadeners: 1) 85%H<sub>2</sub> and 15% He, and 2) 100% H<sub>2</sub>O (or 100% self-broadening) for 288 pressure-temperature grid points. Therefore, this dataset includes 576 files, and each file named based on its temperature, pressure, and broadener (H2HE or SELF).</p>
Datasets of the article "Sub-millisecond Photoinduced Dynamics of Free and EL222-bound FMN by Stimulated Raman and Visible Absorption Spectroscopies"
<p>Femtosecond-stimulated Raman spectra (FSRS) and visible transient absorption (visTA) spectra of free FMN (flavin mononucleotide), FMN bound to EL222-WT, and FMN bound to EL222-C78A. The dataset includes also the lifetime distributions, decay-associated difference spectra (DADS), and evolution-associated difference spectra (EADS). Please check the README file for more information.</p> <p>If you use any of these data, please cite: </p> <p>Liu, Y.; Chaudhari, A.S.; Chatterjee, A.; Andrikopoulos, P.C.; Picchiotti, A.; Rebarz, M.; Kloz, M.; Lorenz-Fonfria, V.A.; Schneider, B.; Fuertes, G. Sub-Millisecond Photoinduced Dynamics of Free and EL222-Bound FMN by Stimulated Raman and Visible Absorption Spectroscopies. <em>Biomolecules</em> 2023, <em>13</em>, 161. https://doi.org/10.3390/biom13010161</p>
Main text figure data and scripts for "Simulating optical linear absorption for mesoscale molecular aggregates: an adaptive hierarchy of pure states approach"
<p>(as README.txt):</p> <p>Main text figure data and scripts for “Simulating optical linear absorption for mesoscale molecular aggregates: an adaptive hierarchy of pure states approach”, by Tarun Gera, Lipeng Chen, Alex Eisfeld, Jeffrey R. Reimers, Elliot J. Taffet and Doran I. G. B. Raccah.</p> <p>Each directory is dedicated to a particular figure published in the paper. In each directory there are sub-directories which contains the data plotted in each panel. Each data file is a 2-D list in the format of (x,y) for each plot. There are python scripts (Fig_X.py) in each directory to plot the data.</p> <p>Table of contents:</p> <p>Figure_2:</p> <p> - 4_site_edge_contri.npy: Calculated edge sites contribution to the total absorption spectrum for a 4-site chain system v/s energy. <br> - 4_site_inner_contri.npy: Calculated inner sites contribution to the total absorption spectrum for a 4-site chain system v/s energy. <br> - 4_site_total_spectra.npy: Calculated total absorption spectrum for a 4-site chain system v/s energy. </p> <p><br> Figure_3:</p> <p>Panel A:<br> <br> - Mean_Error_Edge.npy: Mean error for the edge case v/s number of trajectories.<br> - Mean_Error_Inner.npy: Mean error for the inner case v/s number of trajectories.<br> - Mean_Error_SS.npy: Mean error for a single site initial condition v/s number of trajectories.<br> - Mean_Error_GD.npy: Mean error for a 4-site chain system with Gaussian distributed site energies v/s number of trajectories.</p> <p>Panel B: </p> <p> - Scaled_error_SS.npy: Mean error for a single site initial condition normalized by the square-root of one v/s number of trajectories.<br> - Scaled_error_PS.npy: Mean error for a pair site initial condition normalized by the square-root of two v/s number of trajectories.<br> - Scaled_error_AS.npy: Mean error for an all site initial condition normalized by the square-root of four v/s number of trajectories.</p> <p>Figure_4: </p> <p>Panel_A:</p> <p> - List_Error.npy: Calculated mean error for a 4-site chain for a set of auxiliary error bounds.</p> <p>Panel_B:</p> <p> - Cw_4S_HOPS.npy: Absorption spectrum for a 4-site chain calculated using dyadic HOPS v/s energy.<br> - Cw_4S_DadHOPS.npy: Absorption spectrum for a 4-site chain calculated using DadHOPS v/s energy.</p> <p>Panel_C: </p> <p> - Cw_12S_DadHOPS.npy: Absorption spectrum for a 12-site chain calculated using DadHOPS without including state adaptivity v/s energy.<br> - Cw_12S_DadHOPS_SA.npy: Absorption spectrum for a 12-site chain calculated using DadHOPS with state adaptivity v/s energy.</p> <p>Panel_D:</p> <p> - Aux_states_DadHOPS.npy: Number of auxiliary states required to run a DadHOPS calculation for each N-pigment system.<br> - Aux_states_HOPS.npy: Number of auxiliary states required to run a dyadic HOPS calculation for each N-pigment system.<br> - N_states_DadHOPS.npy: Number of site states required to run a DadHOPS calculation for each N-pigment system.<br> - N_states_HOPS.npy: Number of site states required to run a dyadic HOPS calculation for each N-pigment system.<br> </p> <p>Figure_5:<br> <br> Panel_C: </p> <p> - PSI_Cw_HEOM.npy: PSI absorption spectrum calculated using HEOM v/s energy.<br> - PSI_Cw_HOPS.npy: PSI absorption spectrum calculated using dyadic HOPS v/s energy.</p> <p>Panel_D:</p> <p> - PSI_Error_Random.npy: Calculated mean error, where clusters of 4 were assigned randomly v/s number of trajectories.<br> - PSI_Error_Coupling.npy: Calculated mean error, where clusters of 4 were assigned based on electronic coupling values v/s number of trajectories.</p> <p><br> Figure_6:</p> <p>Panel_A:</p> <p> - PBI_Exp_data_dil.npy: Experimental data for a dilute solution of PBI v/s energy.<br> - PBI_Cw_DadHOPS_300.npy: Calculated spectrum for a PBI monomer with the spread in static disorder of value 300 cm^{-1} v/s energy.<br> - PBI_Cw_DadHOPS_400.npy:: Calculated spectrum for a PBI monomer with the spread in static disorder of value 400 cm^{-1} v/s energy.</p> <p>Panel_B:</p> <p> - PBI_Exp_data_conc.npy: Experimental data for a concentrated solution of PBI v/s energy.<br> - PBI_trimer_Cw_DadHOPS.npy: Calculated spectrum for a PBI trimer using DadHOPS v/s energy.</p> <p>Panel_C: </p> <p> - Cw_PBI_monomer.npy: Calculated spectrum for a PBI monomer using DadHOPS v/s energy.<br> - Cw_PBI_dimer.npy: Calculated spectrum for a PBI dimer using DadHOPS v/s energy.<br> - Cw_PBI_trimer.npy: Calculated spectrum for a PBI trimer using DadHOPS v/s energy.<br> - Cw_PBI_heptamer.npy: Calculated spectrum for a PBI heptamer using DadHOPS v/s energy.<br> - Cw_PBI_1000mer.npy: Calculated spectrum for a PBI 1000mer using DadHOPS v/s energy.</p> <p>Panel_D:</p> <p> - peak_00_position.npy: relative position of the 00 peak for different number of pigments.<br> - peak_00_position_1000.npy: relative position of the 0,0 peak for a system with 1000 pigments. (Single value file)<br> - peak_I_ratio.npy: ratio of intensities of peak 0,1 w.r.t peak 0,0 for different number of pigments.<br> - peak_I_ratio_1000.npy: ratio of intensities of peak 0,1 w.r.t peak 0,0 for a system with 1000 pigments. (Single value file)</p> <p><br> Figure_7:</p> <p> - PBI_N_states_DadHOPS.npy: Number of states required to run a DadHOPS calculation for each N-PBI molecules system. <br> - PBI_Aux_states_HOPS.npy: Number of auxiliary states required to run a dyadic HOPS calculation for each N-PBI molecules system. <br> - PBI_Aux_states_DadHOPS.npy: Number of auxiliary states required to run a DadHOPS calculation for each N-PBI molecules system. </p> <p>The packaged scripts may be run with Python 3.10 and the associated versions of the os, numpy, and matplotlib packages. <br> </p>
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