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2,649 results for “optics”
Chromophore-driven optical path reduction as an indirect inner filter effect correction strategy in fluorescence microplate assays - experimental data
<p>Experimental data for the paper entitled <em>Chromophore-driven optical path reduction as an indirect inner filter effect mitigation strategy in fluorescence microplate assays</em> (<a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.saa.2025.127049" target="_blank" rel="noreferrer noopener"><span><span>https://doi.org/10.1016/j.saa.2025.127049</span></span></a>). </p> <p>An Excel file with multiple worksheets is provided for the following:</p> <p>1. Fluorescence data:</p> <p>The worksheets contain fluorescence values measured in tetraplicates using two microplate readers (Tecan Spark M10, Tecan, Austria and SpectraMax iD3, Molecular Devices, USA), with baseline values recorded in octuplicates. The results were averaged and baseline-corrected. Detailed notes on the titration experiments are included in the manuscript. Data include both IFE-uncorrected fluorescence and fluorescence corrected (fully or partially) by the addition of an absorbing chromophore.</p> <p>2. Absorbance data:</p> <p>All measured absorbance values obtained using the Tecan Spark M10 microplate reader with UV-Vis transparent microplates are included. The absorbance values at specific wavelengths suitable for the Lakowicz IFE correction method or for determining the concentration of the compound are given separately.</p> <p>3. Fluorescein spectra:</p> <p>UV-Vis and fluorescence excitation/emission spectra for highly dilute fluorescein concentrations where the inner filter effect (IFE) is negligible are reported. These measurements were performed to obtain “true” excitation and emission spectra without the influence of IFE quenching effects.</p> <p>4. ZINFE/NINFE IFE corrections:</p> <p>The dataset contains the results of ZINFE/NINFE IFE corrections (<a href="https://doi.org/10.1021/acs.analchem.2c01031">https://doi.org/10.1021/acs.analchem.2c01031</a>) applied to the fluorescence data and processed using the web service available at <a href="https://ninfe.science">https://ninfe.science</a>.</p> <p>The notation of the fluorophores and microplates is the same as in the manuscript. For reasons of visual clarity, the numerical titration indices are not in subscript.</p> <p> </p>
Persistent Photoluminescence and Mechanoluminescence of a Highly Sensitive Pressure and Temperature Gauge in Combination with a 3D-printable Optical Coding Platform
<p><span>Distinct types of luminescence that are activated by various stimuli in a single material offer exciting developmental opportunities for functional materials. In this study, we introduce a versatile sensing platform that exhibits three types of luminescence: photoluminescence (PL), persistent luminescence (PersL), and mechanoluminescence (ML), which enables the sensitive detection of temperature, pressure, and force/stress. The developed Sr<sub>2</sub>MgSi<sub>2</sub>O<sub>7</sub>:Eu<sup>2+</sup>/Dy<sup>3+</sup> material exhibits a linear relationship between ML intensity and force, and can be used as an ML stress sensor within the 3–30 N range. Additionally, the full width at half maximum (FWHM) value of the PL emission band and the PL lifetime of this material are remarkably sensitive to changes in temperature, with values of approximately 0.05 nm/K and 1.29 %/K, respectively. This study demonstrated the use of PersL for sensing pressure for the first time, along with its long-lasting (seconds) lifetime as a manometric parameter. The developed material functions as an exceptionally sensitive triple-mode visual pressure sensor; specifically it exhibits: i) a sensitivity of approximately −297.4 cm<sup>−1</sup>/GPa (8.11 nm/GPa) in bandshift mode, ii) a sensitivity of ~272.7 cm<sup>−1</sup>/GPa (14.8 nm/GPa) in bandwidth mode, and iii) a sensitivity of 42 %GPa<sup>−1</sup> in PL-lifetime mode, which is the highest value reported to date. Notably, anti-counterfeiting, night-vision safety-sign, 8-bit optical-coding, and QR-code applications that exhibit intense PersL were demonstrated by 3D-printing the studied material in combination with a polymer.</span></p>
NOT Optical Light Curves of PSR J1622-0315
<p>Optical photometry of PSR J1622-0315 taken by the Nordic Optical Telescope (NOT/ALFOSC) and modeled in Sen et al. 2024.</p> <p>Each file, titled X_folded_final_flux.dat, includes the following columns:</p> <p>column 1: time of the observation (MJD)</p> <p>column 2: orbital phase</p> <p>column 3: magnitudes in the X band (mag)</p> <p>column 4: statistical uncertainty in the X band (mag)</p> <p>column 5: systematic uncertainty in the X band (mag)</p> <p>column 6: dereddened magnitudes in X band (mag)</p> <p>column 7: statistical uncertainty of the dereddened magnitudes in the X band (mag)</p> <p>column 8: flux density in X band (erg/s/cm^2/Hz)</p> <p>column 9: error in flux density in X band (erg/s/cm^2/Hz)</p> <p> </p> <p> </p>
Optical and electronic properties of SnS and SnSe
Open the record for dataset details and reuse information.
Figure 2. Energy dispersive X in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi
Figure 2. Energy dispersive X-ray spectroscopy of α - and γ-Al2O3NPs.
Figure 1 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi
Figure 1. Field emission scanning electron microscope (FESEM) of α- and γ-Al2O3NPs.
Figure 3 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi
Figure 3. UV-Vis and direct optical band gap spectra of (A) α-Al2O3NPs and (B) γ-Al2O3NPs.
Aerosol Optical Depth (AOD) over the Nepalese cryosphere derived from an empirical model
<p>In this manuscript, we demonstrate the spatial and temporal variability of AOD over the Nepalese cryosphere may be reconstructed through empirical relationships developed from numerical weather model analysis fields and geographic variables. Our manuscript is novel, providing:<br> * a capability to extrapolate AOD over the cryospheric portion of Nepalese Himalayas<br> * an understanding of the relationships between ECMWF Reanalysis with observed AOD<br> * and a cross-validation of an empirical model using MODIS derived AOD and AERONET data.</p> <p>The empirical model that we present in this study, could potentially be applied to other mountains regions. We believe that the findings presented in our manuscript provide a novel approach to address the challenge of paucity of observations for aerosols in the cryospheric portion in Himalaya region. </p> <p> </p> <p> </p>
Optically measured torsional waves on cello string bowed at varying bow force
<p>Transverse and torsional vibrations of a cello G string made of steel, product name "Pirastro Chromcor medium". Find string properties below. String mounted on a monochord and tuned to approximately 98 Hz.</p> <p>Measurements by a high speed camera at 7000 frames per second, on axis with the bowed string (displacement < 20°).</p> <p>Transverse: optical marker on the string (transverse), 70 mm away from the bridge, 10 mm away from the bow contact point.</p> <p>Torsional: optical marker at each end of two needles (top, and bottom, each 4mm long, total weight including marker 0.002 g), 70 mm away from the bridge, 10 mm away from the bow contact point.</p> <p>Manual bowing by experienced player, bowing at the target contact point 80 mm away from bridge, while each individual stroke represents a certain level of bow pressure. Only regular Helmholtz motion is excited on the string. For each level (high, medium, low) the player adjusted bow velocity reasonably.</p> <p>* Raw data: movies</p> <p>Torsion3.avi : medium bow force<br> Torsion5.avi : low bow force<br> Torsion6.avi : high bow force<br> </p> <p>* Data, 1st level of abstraction: extracted traces using subpixel tracking</p> <p>Tables in *.mqa format hold pixel row and column of extracted optical marker (top,transverse, botteom) for respective bow force (3=medium, 5=low,6=high).</p> <p> </p> <p>* Data, 2nd level of abstraction: angle of torsional displacement as derived from optical markers and geometry, versus bow force</p> <p>torsion_angle_vs_3_force_levels (eps, and MATLAB fig).</p> <p> </p> <p>* String properties</p> <p>mass per unit length g/m 6.15</p> <p>diameter mm 1.19</p> <p>nominal tension N 121</p> <p>transverse wave speed <em>v<sub>tra</sub></em> m/s 133</p> <p>transverse wave impedance <em>Z<sub>0</sub></em> kg/s 0.93</p> <p>torsional fundamental frequency Hz 543</p> <p>torsional wave speed <em>v<sub>tor </sub></em>m/s 738</p> <p> </p>
Mechanisms behind the low-cloud optical depth response to temperature in ARM site observations - datasets and scripts
<p>Datasets used in the analysis of the article Mechanisms behind the low-cloud optical depth response to temperature in ARM site observations, which was submitted to and subsequently published in Journal of Geophysical Research-Atmosphere. DOI: 10.1029/2018JD029359</p>
Raw data for 'Low-loss high-Q silicon-rich silicon nitride microresonators for Kerr nonlinear optics'
<p>It's the raw data for the paper 'Low-loss high-Q silicon-rich silicon nitride microresonators for Kerr nonlinear optics'</p>
Towards improving short-term predictions of fine particulate matter over the United States via assimilation of satellite aerosol optical depth retrievals
<p>This dataset contains paired modeled and observed values of different trace gases and aerosol species over the CONUS for the period of 15 July to 14 August 2014 for the three different data assimilation experiments (BKG, MET_BE and MET+EMIS_BE) described in the paper. </p>
Dataset The effect of the halide anion on the optical properties of lead halide perovskites
<p>File description:</p> <ul> <li>MAX.cif:</li> </ul> <p>Crystal structure data in CIF (<em>Crystallographic Information File</em>) format for the Figure 1 in the article. https://www.iucr.org/resources/cif</p> <p>The way to obtain the files described below is detailed in the methodology section in the article:</p> <ul> <li>SALIDA.TOT.MAPbX (X=Cl,Br,I, and Y=Pb,Cl,Br,I)</li> </ul> <p>Date files corresponding to figure 3 in the article labeled as “alpha_{TOT}”.</p> <p>First|second column: energy (eV)|absorption coefficient (cm<sup>-1</sup>)</p> <ul> <li>SALIDA.Y-X.MAPbX (X=Cl,Br,I, and Y=Pb,Cl,Br,I)</li> </ul> <p>Date files corresponding to figure 3 in the article labeled as “alpha_{YX}”.</p> <p>First|second column: energy (eV)|absorption coefficient (cm<sup>-1</sup>)</p> <ul> <li>SALIDA.s1Y-s2X.MAPbX (X=Cl,Br,I, Y=Pb,Cl,Br,I, and s1,s2 =s,p,d)</li> </ul> <p>Date files corresponding to figure 4 in the article labeled as “alpha_{s1(Y)-s2(X)}”.</p> <p>First|second column: energy (eV)|absorption coefficient (cm<sup>-1</sup>)</p>
Empairex 1: Optical properties data archive
<p>This spreadsheet contains all the numerical data used to make the figures in the manuscript "Chemical composition, optical properties and radiative forcing efficiency of nascent particulate matter emitted by an aircraft turbofan burning conventional and alternative fuels" and in the corresponding supplementary information. </p>
Data and code for figures in "Optical Backaction-Evading Measurement of a Nanomechanical Oscillator"
<p>Data and code for figures in "Optical Backaction-Evading Measurement of a Nanomechanical Oscillator"</p>
Comparison of three types of laser optical disdrometers under natural rainfall conditions
<p>This dataset contains the raw files of one rain gauge and four disdrometers used for a comparative study of rainfall characteristics measured by optical laser-based disdrometers.</p> <p>Please see data description file for further information.</p>
Data collection that describes the calibration of the temporal and displacement characteristics of an optical tweezers in buffered saline at room temperature.
<p><strong>Introduction</strong>. This data provides the calibration of an optical tweezers within the linear Hookian region. Once the laser was aligned, the power at the objective measured and a bead trapped the instrument was calibrated. <strong>Data Collection</strong>. Calibration was performed by moving a trapped bead by supplying a periodic square wave train input (amplitude: −800 to +800 nm, period: 80 ms) to an acousto-optical device, AOD and monitoring the trajectory of the bead in the 𝑋𝑌 plane with a quadrant photo diode, QPD for ~ one minute. Data was collected at 200 kHz from three (3) QPD channels: displacement in the 𝑋 (∆𝑋<sub>𝑀</sub>) (i) and 𝑌 directions (∆𝑌<sub>𝑀</sub>) (ii) and the sum of the fluorescent intensity (∑<sub>𝐿</sub>) (iii). Typically, each bead was stimulated with a train of square waves of constant amplitude in the 𝑋 direction. This stimulation was performed four (4) times at each of the different amplitudes i.e., −800, +800, −500, and +500 nm. The QPD signal in the dark, ∆𝑋<sub>𝐷</sub>, ∆𝑌<sub>𝐷</sub>, ∑<sub>𝐷</sub> was recorded and subtracted in real time, and the gain, 𝐺 of the QPD noted. The Stokes-Faxen coefficient, 𝛽 was calculated having recorded the height of the bead above the Petri dish, ℎ and the viscosity, 𝜂 of the saline solution. The detected fluorescent bead was excited either with a Xenon lamp or TLED transmitted light source. Some calibrations were performed with a TLED light that was borrowed from the manufacturer for testing, and the signal to noise of these measurements was significantly decreased.<strong> Data Transformation</strong>. For each of the two (2) channels the measured signal was normalized by the sum, and the ~750 waves were averaged for each pulse train stimulus. The reciprocal of the time constant (s<sup>-1</sup>) was determined from the exponential rise or decay of the back-ground subtracted averaged response. Spring constant (pN/nm) was determined from the product of this reciprocal time constant and the Stokes-Faxen coefficient (pNs/nm). The net displacement of the bead (nm) was calculated by determining the resultant vector of the 𝑋 and 𝑌 components of the QPD (V/V). For the four (4) stimuli determined for each bead the normalized displacement (V/V) was plotted as a function of net bead displacement and the slope (V/V/nm) calculated from best linear fit. For each calibration the mean spring constant, reciprocal time constant, and mean slope are provided. <strong>Data Format</strong>. The data was saved in LabView with the proprietary TDMS format (National Instruments, NI, Austin, TX). It was transformed to a text file and imported into MATLAB (The Mathworks, Natick, MA) and stored as struct and analyzed with a Python script. The collection contains raw and transformed results from 69 days for a total 153 beads. The data is provided with annotated descriptions in HDF5, a standard non-proprietary container storage format. Each file is about 1.1 GBs (HDF5).</p> <p> </p> <p>The package contains:</p> <p>1. Standard Container HDF5 with custom organization format of data with annotations.</p> <p>2. Python Script (calibrateopticaltweezers.py file) that describes how data is analyzed and written to HDF5 and .MAT formats. (1 file)<br> </p>
Data and code for figures: Dynamics of soliton crystals in optical microresonators
<p>This dataset contains the data presented in the figures of the paper Dynamics of soliton crystals in optical microresonators.</p> <p>The data for figure X (X = 1, 2, 3, 4, S1, S2, S3, S4, S5) is gathered in one matlab dataset file Fig_X.mat, which contains structure variable figX whose fields are the panels of the figure in the manuscript (a,b,c,...). In each of the panel field, you find subfields containing the data arrays for all the lines presented in the panel.</p> <p><br> A minimal script znd_FigX_plot.m is provided for each figure in order to plot all the panels.</p> <p>The datasets and scripts were generated and tested using Matlab 2018b.</p>
Dataset for "Electrical and optical control of single spins integrated in scalable semiconductor devices"
<p>Accompanying data for the main text and supplemental materials of <em>Electrical and optical control of single spins integrated in scalable semiconductor devices</em></p>
Non-spherical particles in optical tweezers: a numerical solution
<p>We present numerical methods for modeling the dynamics of arbitrarily shaped particles trapped within optical tweezers, which improve the predictive power of numerical simulations for practical use. We study the dependence of trapping on the shape and size of particles in a single continuous wave beam setup. We also consider the implications of different particle compositions, beam types and media. The major result of the study is that for different irregular particle shapes, a range of beam powers generally leads to trapping. The trapping power range depends on whether the particle can be characterized as elongated or flattened, and the range is also limited by Brownian forces.</p> <p>This dataset supplements the publication and contains inputs and processing scripts for usage of scadyn (https://www.github.com/jherrane/scadyn) software for solving dynamical response of arbitrarily shaped particles in electromagnetic fields. Also is contained the minimal dataset (per PLos ONE standards) to reproduce the results presented.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.