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379 results for “Absorbance”
Dataset of sound field simulations above finite absorbers
<p>The authors' documentation on the training, validation, and testing datasets in their paper "<em>Sound absorption estimation of finite porous samples with deep residual learning</em>."</p> <p>The sound fields are generated with a simplified boundary element method (BEM) of a baffled porous layer on a rigid backing using the Delany–Bazley–Miki model. Further information on the contents of this database can be found in <em>documentation.pdf</em>.</p> <p>More details on the models and reproduction of results of the paper using this database can be found in the GitHub repo: <a href="https://github.com/eliaszea/finite-absorber-ML">https://github.com/eliaszea/finite-absorber-ML</a>. </p>
Data from: Non-invasive estimation of absorbed ionizing radiation dose in mice using Near-Infrared Spectroscopy (NIRS) and aquaphotomics
Open the record for dataset details and reuse information.
Ambient nutrients, carbon, and DOM absorbance metrics along with experimental dissolved oxygen decay rates for 5-day incubations of water within the Waccamaw River Watershed, SC, Summer 2020.
Dissolved oxygen (DO) impairment within coastal waters is widespread. Rising temperatures may exacerbate low DO levels by enhancing organic matter (OM) degradation. Here, the temperature sensitivity of OM degradation was investigated as DO decay rates determined during standard five-day biochemical oxygen demand (BOD) measurements conducted under different incubation temperatures. Sampling was conducted in the Waccamaw River watershed, South Carolina, a blackwater river with extensive forested wetland that also receives drainage from stormwater detention ponds associated with coastal development, thus providing contrasting sources of OM composition. Temperature sensitivities were measured as Q10 temperature coefficients, which define how DO decay rates change with 10 degrees of warming. The average Q10 value for the wetland sites (2.14 ± 0.41) was significantly greater (p = 0.004) than those measured in either the river (1.49 ± 0.36) or stormwater ponds (1.41 ± 0.21). Furthermore, using Intergovernmental Panel on Climate Change intermediate-to-very high temperature estimates for 2100 of +2.7 – 4.4 °C, average predicted increases in DO decay rates for wetlands (~22-39 %) are more than double the River (~11-18 %) and stormwater pond rates (~9-16 %). Our findings for inland, coastal waters agree with previous results for soils, suggesting that temperature sensitivities are variable across sites and increase with more complex, lower quality OM. Future modeling scenarios of DO utilization must therefore consider the influence of OM heterogeneity and the temperature sensitivity response of OM degradation across sources and region to better predict how climate change may impact oxygen impairment in aquatic ecosystems.
Diurnal cycle of the semi-direct effect from a persistent absorbing aerosol layer over marine stratocumulus in large-eddy simulations: supporting dataset
<p>Relevant data for reproducing figures and tables from Herbert et al., 2020, Atmospheric Chemistry and Physics: "Diurnal cycle of the semi-direct effect from a persistent absorbing aerosol layer over marine stratocumulus in large-eddy simulations".</p> <p>The tar file contains the relevant netcdf files that contain simulation output from the MET Office large eddy model (LEM). Each netcdf file corresponds to a single model setup and experiment - details of which can be found within the published manuscript. Information concerning the LEM, and details on how to obtain access to the code, can be found at http://appconv.metoffice.com/LEM/index.html.</p> <p>The file 'relevant_information.pdf' contains two tables. The first provides the names of each netcdf file that was used to produce each figure in the manuscript. The second provides the metadata for the netcdf variables that were used to produce the figures and tables.</p> <p>The netcdf filename provides information on the experiment setup as follows:</p> <p>run-identifier-number _ length-of-run _ AOD-of-layer _ GAP-between-cloud-and-layer _ THICKNESS-of-layer _ 'bigarray' _ special-setups-for-sensitivity-experiments</p> <p>For example, r1360_8day_transient_aod02_0dz_250th_bigarray_nodrizz is run number r1360, simulating 8 days, with the aerosol layer properties AOD=0.2, cloud-to-aerosol gap of 0m, layer thickness of 250m, in the sensitivity setup where precipitation has been switched off.</p>
Absorbing Aerosol Optical Central Height (AOCH) retrieved from TROPOMI with UIowa's AOCH-O2AB algorithm
<p>Absorbing Aerosol Optical Centroid Height (AOCH) retrieved from TROPOMI with UIowa’s AOCH-O<sub>2</sub>AB algorithm. Dataset for analyzing dust and smoke cases over Asia during 2021-2023.</p> <p>More information about this dataset can be found in: </p> <p>Chen, X., Wang, J., Xu, X. G., Zhou, M., Zhang, H. X., Garcia, L. C., Colarco, P. R., Janz, S. J., Yorks, J., McGill, M., Reid, J. S., de Graaf, M., and Kondragunta, S.: First retrieval of absorbing aerosol height over dark target using TROPOMI oxygen B band: Algorithm development and application for surface particulate matter estimates, Remote Sensing of Environment, 265, 18, <a href="https://doi.org/10.1016/j.rse.2021.112674">https://doi.org/10.1016/j.rse.2021.112674</a>, 2021.</p>
Analyse par fluorescence et par absorbance du stress acide et radiatif et influence du pH sur la structure chlorophyllienne
<p>Ce poster récapitule les expériences réalisées pour mettre en avant la dégradation de la chlorophylle lorsqu'elle est exposée à un milieu acide ou à un milieu radiatif par suivi de l'absorbance et la fluorescence de l'échantillon lors d'un suivi de pH précis.</p>
A High-Quality Reprocessed MODIS Fraction of absorbed Photosynthetically Active Radiation Dataset (HiQ-FPAR)(Version 1)
<p>The High-Quality Fraction of absorbed Photosynthetically Active Radiation (HiQ-FPAR) is derived from reprocessed MODIS FPAR C6.1 product by SpatioTemporal Information Compositing Algorithm (STICA). This method integrates information from multiple dimensions, including pixel quality information, spatiotemporal correlation, and original observations, to improve the raw MODIS FPAR retrievals with poor quality. The HiQ-FPAR covers the period from 2000 to 2022, with spatial resolutions of 500m/5km for global vegetation area and temporal resolutions of 8 days.</p> <p>Ground-based verification results show that HiQ-FPAR performs better than the original MODIS product (MOD15A2H C6.1). Time series curves of the HiQ-FPAR exhibit reduced abnormal fluctuations and better alignment with expected phenological patterns. Additionally, the agreement with ground measurements increases gradually as raw data quality decreases. HiQ-FPAR was found to be more continuous and consistent than MODIS FPAR on a global scale from both spatial and temporal perspectives, especially in the equatorial regions where optical remote sensing usually cannot achieve good performance. Thus, We anticipate that HiQ-FAPR with better spatio-temporal continuity will better support varying global FPAR time series applications.</p> <p>Here, we offer a product version with a spatial resolution of 5km and a temporal resolution of 8 days. Another version has a spatial resolution of 500 meters and is available through Google Earth Engine (https://code.earthengine.google.com/?asset=projects/verselab-398313/assets/HiQ_FPAR/wgs_500m_8d).</p> <p>More details about HiQ-Fpar can be found at https://github.com/Gardenias-123/HiQ-FPAR</p>
Hydrogen-bonded xanthones as potential UV absorbers. The synthesis of xanthones from bio-renewable cardanol utilizing a ceric ammonium sulfate (CAS) mediated oxidation reaction
<p>The synthesis of hydrogen-bonded xanthones using the bio-renewable phenol, cardanol is described. Cardanol was initially converted into hydroxy-benzophenones. These benzophenones were converted into xanthones utilizing an oxidative ceric ammonium sulfate (CAS) mediated reaction. Subsequent ruthenium-mediated late-stage oxidation of the xanthones provided hydrogen-bonded xanthones, which displayed good UVA and UVB absorbing properties.</p>
Absorbance Dataset for ColorLab Demo
<p>This dataset contains absorbance data for a blend of the polymer poly[1,3,4-thiadiazole-2,5-diyl(3-octyl-2,5-thiophenediyl)[4,8-bis[(2-butyloctyl)thio]benzo[1,2-b:4, 5-b′]dithiophene-2,6-diyl](4-octyl-2,5-thiophenediyl)] (PBDTS-TDZ, CAS: n.a.) and the non-fullerene molecule 2,2'-((2Z,2'Z)-(((4,4,9,9-tetrakis(4-hexylphenyl)-4,9-dihydro-sindaceno[1,2-b:5,6-b']dithiophene-2,7-diyl)bis(4-((2-ethylhexyl)oxy)thiophene-5,2- diyl))bis(methanylylidene))bis(5,6-difluoro-3-oxo-2,3-dihydro-1H-indene-2,1- diylidene))dimalononitrile (IEICO-4F, CAS: 2089044-02-8). The spectra in this dataset were recorded over an approximately 144 hour period to monitor the blend's degradation. It can be used alongside ColorLab, both as a sample dataset to use the with the program and as a template for formatting input data.</p>
A global land surface 250-m 8-day Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) product (2022-part1)
<p>The Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) is a critical land surface variable for carbon cycle modeling and ecological monitoring. We generated the latest version (V6) of the FAPAR product at a 250-m resolution, which is also aggregated to multiple coarser resolutions (up to 0.25° and monthly), from MODIS surface reflectance data and other information, as part of the Global Land Surface Satellite (GLASS) products suite. Three existing global FAPAR products (MODIS Collection 6, GLASS V5, and PROBA-V V1) were used to generate the time-series training samples for developing the Bidirectional Long Short-Term Memory (Bi-LSTM) model. Direct validation using high-resolution FAPAR maps from VALERI and ImagineS networks revealed that the GLASS V6 FAPAR product achieves higher accuracy than PROBA-V, MODIS, and GLASS V5, with R<sup>2</sup> of 0.80 and RMSE of 0.10-0.11 at the 250-m, 500-m, and 3-km scales, and a higher percentage (72%) of retrievals in meeting accuracy requirement of 0.1. Global spatial evaluation and temporal comparison at the Ameriflux and NEON sites indicated that the GLASS V6 FAPAR is more spatio-temporal continuous and better reflects the variations of vegetation than the GLASS V5 FAPAR. </p> <p>The temporal span of GLASS V6 FAPAR product is from 2000 to 2020 and the temporal frequency is 8-day. The 250-m and 500-m data are in the Sinusoidal projection, while the 0.05°, 0.1° and 0.25° data are in geographic latitude/longitude. Data files are provided in HDF−EOS format.</p>
A global land surface 250-m 8-day Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) product (2022-part2)
<p>The Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) is a critical land surface variable for carbon cycle modeling and ecological monitoring. We generated the latest version (V6) of the FAPAR product at a 250-m resolution, which is also aggregated to multiple coarser resolutions (up to 0.25° and monthly), from MODIS surface reflectance data and other information, as part of the Global Land Surface Satellite (GLASS) products suite. Three existing global FAPAR products (MODIS Collection 6, GLASS V5, and PROBA-V V1) were used to generate the time-series training samples for developing the Bidirectional Long Short-Term Memory (Bi-LSTM) model. Direct validation using high-resolution FAPAR maps from VALERI and ImagineS networks revealed that the GLASS V6 FAPAR product achieves higher accuracy than PROBA-V, MODIS, and GLASS V5, with R<sup>2</sup> of 0.80 and RMSE of 0.10-0.11 at the 250-m, 500-m, and 3-km scales, and a higher percentage (72%) of retrievals in meeting accuracy requirement of 0.1. Global spatial evaluation and temporal comparison at the Ameriflux and NEON sites indicated that the GLASS V6 FAPAR is more spatio-temporal continuous and better reflects the variations of vegetation than the GLASS V5 FAPAR. </p> <p>The temporal span of GLASS V6 FAPAR product is from 2000 to 2020 and the temporal frequency is 8-day. The 250-m and 500-m data are in the Sinusoidal projection, while the 0.05°, 0.1° and 0.25° data are in geographic latitude/longitude. Data files are provided in HDF−EOS format.</p>
Fine-scale Quantification of Absorbed Photosynthetically Active Radiation (APAR) in Plantation Forests with 3D Radiative Transfer Modeling and LiDAR Data
<p>In recent years, LiDAR technology has gained widespread attention for its ability to provide precise 3D vertical structural data for various objects, particularly forests. In our dataset, we utilized LiDAR data to reconstruct intricately detailed three-dimensional representations of specific larch forest landscapes. These detailed forest structural models enable us to drive three-dimensional radiative transfer models, analyze the radiation budget of the forest canopy, and gain valuable insights into fine-scale forest management strategies.</p> <p>This is the research work we conducted by combining the aforementioned 3D forest scenes with the 3D RTM LESS. If you use our data, please cite our article. You can access our publication via DOI: 10.34133/plantphenomics.0166.</p> <p>We welcome researchers interested in a wide range of fields, such as vegetation ecological applications, to communicate with us by combining 3D vegetation modeling.</p> <p><br><br></p>
UV-Vis absorbance data, molar extinction coefficients and circular dichroism spectra for the two cyanobacterial metabolites anabaenopeptin A and anabaenopeptin B
<p>Data for:</p> <p>"<span>The UV-Vis absorbance spectra, molar extinction coefficients and circular dichroism spectra as well as NMR and mass spectrometry spectra were determined for two prominent secondary metabolites from cyanobacteria, namely anabaenopeptin A and anabaenopeptin B. The compounds were extracted from the cyanobacterium </span><em><span>Planktothrix rubescens</span></em><span> CBT929 and purified by flash chromatography and HPLC. Exact amounts of isolated compounds were assessed by quantitative <sup>1</sup>H-NMR with internal calibrant ethyl 4-(dimethylamino)benzoate in DMSO-<em>d<sub>6</sub></em> at 298 K with a recycle delay (d1) of 120 s. UV-Vis absorbance spectra were recorded in methanol at room temperature. Molar extinction coefficients were determined at 278 nm as 4190 M<sup>-1</sup> cm<sup>-1</sup> and 2300 M<sup>-1</sup> cm<sup>-1</sup> in methanol for anabaenopeptin A and anabaenopeptin B, respectively. Circular dichroism spectra and secondary fragmentation mass spectra are also reported."</span></p>
Atmospheric Response Matrices (ARMs) computed with AtRIS in: The Atmospheric Influence on Cosmic-Ray-Induced Ionization and Absorbed Dose Rates
<p>Ionization and Dose Atmospheric Response Matrices (ARMs) computed with the Atmspheric Interaction Radiation Simulator (AtRIS) and used in the following publication: <br>The Atmospheric Influence on Cosmic-Ray-Induced Ionization and Absorbed Dose Rates.<br><br>All files are in txt format.<br>Files ending in '_energy_bins.txt', contain the informations about the energy binning of the primary particles used in the AtRIS simulations. <br>Files ending in '_ioni.txt', contain the ionization ARMs computed with the above mentioned energy binning.<br>Files ending in '_dose.txt', contain the ICRU water sphere dose ARMs computed with the above mentioned energy binning.</p>
Is OSSO a significant contributor to the unknown UV absorber in Venus' atmosphere?
<p>Datasets for figures and output of PCM model run as detailed in the corresponding paper.</p>
Diffraction data for Zajdel et al Turning Molecular Springs into Nano-Shock Absorbers ACS Appl. Mater. Interfaces 2022, 14, 26699−26713
<p>Datasets required to reproduce:</p> <p>Individual files</p> <p>Fig. 1,- XRDs of materials collected on DiscoverD, CuKa</p> <p>(BT-1.zip)</p> <p>Fig. 4a. - neutron powder diffraction of ZIF-8 + 2D2O/1H2O mix collected at the BT-1 diffractometer of the NIST Center of Neutron Research at 30C. For plot the data were normalized to a common scale in counts/h</p> <p>Fig. 4c. Fullprof PCR file and VESTA model with the volmetric data *.pgrid</p> <p>Fig. 4d Single detector file Z8221010.bt1 and raw pressure output + reduced data (Zenodo_30C_drops_Fig4d.DAT).</p> <p>Fig. 4b VSANS (110) integration results Up and Down (VSANS.zip)</p>
Controlled multi-photon subtraction with cascaded Rydberg superatoms as single-photon absorbers
<p>Data for "Controlled multi-photon subtraction with cascaded Rydberg superatoms as single-photon absorbers"</p>
Impact of nonlinear hydrodynamic modelling on geometric optimisation of a spherical heaving point absorber
<p>Due to the amount of iterative computation involved, researchers involved in geometric optimisation of wave energy devices typically employ linear hydrodynamic models. However, the exaggerated motion of wave energy devices, aided by energy maximising control action, challenges the assumptions upon which linear hydrodynamic modelling relies. Furthermore, the optimal device geometry is also sensitive to the nature of the energy-maximisation controller employed, and to the set of wave conditions over which the optimisation is carried out.<br> <br> In order to focus on the essential issues, this study takes the simplest possible device for optimisation, a heaving sphere (with just one free parameter), but one which exhibits nonlinear hydrodynamic characteristics, due to the non-uniform cross-sectional area. The study examines the sensitivity to the inclusion of nonlinear Froude-Krylov forces. In addition, the sensitivity of the optimal device size to differences in the applied control algorithm is also studied, as are effects due to different representative sea state representations and performance evaluation criteria.</p>
Absorbance data
<p>Description will be added after submission of the publication is completed.</p>
Interplay between Li and Na amid co-doped solution-processed Cu2ZnSn(S,Se)4 absorbers for solar cells
<p>Alkali doping and alloying are well-known strategies to improve the performance of Cu<sub>2</sub>ZnSn(S,Se)<sub>4</sub> (CZTSSe) absorber based thin film solar cells. The effects of individual light alkali elements such as Li and Na have been thoroughly investigated, with both dopants resulting in significant improvements in performance of CZTSSe solar cells. Here, the combined effects of Li and Na are investigated in a so-called co-doping approach to capture the benefits from both elements simultaneously. In order to do that, various concentrations of Li and Na between 0.0 M and 0.5 M are added to the solution used for spin coating of the precursor layer. After annealing under Se-enriched atmosphere, the two alkali elements displayed mutual dependency of in terms of their concentrations in the CZTSSe absorber layer. Furthermore, both, Li and Na showed signs of forming alloys with the CZTSSe phase. The efficiencies of the best Li-Na co-doped solar cells are above 10%, slightly above the Li baseline thanks to increased open-circuit-voltage and short-circuit current. A non-negligible Na incorporation was observed even in nominally Na-free devices, likely from indirect contamination from the SLG substrate. Further work is needed to better understand Na-poor compositions and draw conclusions relevant to Na-free substrates.</p>
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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
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.