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2,649 results for “optics”
Data for the article "Faster chiral versus collinear magnetic order recovery after optical excitation revealed by femtosecond XUV scattering"
<p>Data for the article "Faster chiral versus collinear magnetic order recovery after optical excitation revealed by femtosecond XUV scattering" (<a href="https://www.nature.com/articles/s41467-020-19613-z">Faster chiral versus collinear magnetic order recovery after optical excitation revealed by femtosecond XUV scattering | Nature Communications</a>) <a href="https://arxiv.org/abs/2002.03971">[2002.03971] Chiral versus collinear magnetic order dynamics: faster chiral recovery after optical excitation revealed by femtosecond XUV scattering (arxiv.org)</a></p>
Dataset: Aberration characterisation of X-ray optics using multi-modal ptychography and a partially coherent source
<p>These are the ptychography datasets used for the publication "Aberration characterisation of X-ray optics using multi-modal ptychography and a partially coherent source". File are in the HDF format and contain a number of datasets detailed below.</p> <p>If you require more information, please contact the corresponding author of the publication, at thomas.moxham@eng.ox.ac.uk</p> <p>Raw files contain: diffraction intensities, scanning positions in millimeters</p> <p>Recon files contain: fourier error, complex probe function, complex object function, recon pixel size, energy</p> <p>raw_siemens_star_be_lens.hdf, raw_fourier_ring_correlation.hdf, merlin_medipix_detector_mask.hdf, recon_multi-modal_probe.hdf, recon_multi-modal_object.hdf, recon_fourier_ring_correlation.hdf</p>
Gradients1_KOK1606_Optics_LISST
<p>Cruise Name: KOK1606, Gradients 1.0.</p> <p>Project: Simons Foundation - Gradients NPSG</p> <p>A Sequoia LISST-100X was plumbed to the underway uncontaminated seawater on the R/V KOK. Data for each instrument were averaged to the minute. LISST: Filtered values (<0.2 um) removed from all data. The summed volume concentration of particles (in uL/L), the standard LISST output, is presented for the size range 2-20 µm. Particle volume concentration can be converted to particle concentration by assuming spherical particles. The total particle concentration (#/L) is calculated for particles in the same size class. Larger size classes are excluded due to low detection limits and scattering at density gradients. Note that data have not been processed to remove outliers.</p>
Data from: Modelling and simulation of a thermally induced optical transparency in a dual micro-ring resonator
This paper introduces the simulation and modelling of a novel dual micro-ring resonator. The geometric configuration of the resonators, and the implementation of a simulated broadband excitation source, results in the realization of optical transparencies in the combined through port output spectrum. The 130 nm silicon on insulator rib fabrication process is adopted for the simulation of the dual-ring configuration. Two titanium nitride heaters are positioned over the coupling regions of the resonators, which can be operated independently, to control the spectral position of the optical transparency. A third heater, centrally located above the dual resonator rings, can be used to red shift the entire spectrum to a required reference resonant wavelength. The free spectral range with no heater currents applied is 4.29 nm. For a simulated heater current of 7 mA (55.7 mW heater power) applied to one of the through coupling heaters, the optical transparency exhibits a red shift of 1.79 nm from the reference resonant wavelength. The ring-to-ring separation of approximately 900 nm means that it can be assumed that there is a zero ring-to-ring coupling field in this model. This novel arrangement has potential applications as a gas mass airflow sensor or a gas species identification sensor.
Data from: Spatio-temporal dynamics of impulse responses to figure motion in optic flow neurons
White noise techniques have been used widely to investigate sensory systems in both vertebrates and invertebrates. White noise stimuli are powerful in their ability to rapidly generate data that help the experimenter decipher the spatio-temporal dynamics of neural and behavioral responses. One type of white noise stimuli, maximal length shift register sequences (m-sequences), have recently become particularly popular for extracting response kernels in insect motion vision. We here use such m-sequences to extract the impulse responses to figure motion in hoverfly lobula plate tangential cells (LPTCs). Figure motion is behaviorally important and many visually guided animals orient towards salient features in the surround. We show that LPTCs respond robustly to figure motion in the receptive field. The impulse response is scaled down in amplitude when the figure size is reduced, but its time course remains unaltered. However, a low contrast stimulus generates a slower response with a significantly longer time-to-peak and half-width. Impulse responses in females have a slower time-to-peak than males, but are otherwise similar. Finally we show that the shapes of the impulse response to a figure and a widefield stimulus are very similar, suggesting that the figure response could be coded by the same input as the widefield response.
High-resolution air temperature observations near the surface using fiber-optic distributed temperature sensing
<p>Time-lapse animation of air temperature observations near the surface, highlighting wave-like motion in opposite direction of the mean wind. </p> <p> </p>
Measurement of Beta and Gamma Peripapillary Atrophy with Spectral Domain Optical Coherence Tomography
<p>Brief demonstration of the method used to measure beta and gamma peripapillary atrophy.</p>
Involvement of the optic nerve in mutated CSF1R-induced hereditary diffuse leukoencephalopathy with axonal spheroids
<p><strong>Figure 1:</strong> Family pedigree. The arrow indicates the proband (present patient). Her mother developed a motor disorder at 40 years of age and died at 60 years of age. Her grandparents, father, brothers, sisters, and daughters were not affected.</p> <p><strong>Figure 2: Brain MRI, DWI, DTI, and MRS images. T2/Flair showed multifocal periventricular white matter lesions (A, B, and C), without enhancement (D). DWI shows high-signal intensities in periventricular white matters and corpus callosum (E, F). DTI shows decreased numbers of corpus callosum fibers, while subcortical arcuate fibers are spared (G). MRS shows increased Cho levels, while NAA levels are decreased in the white matter lesions (H, I).</strong></p> <p><strong>Figure 3: </strong>Optic nerves on MRI, showing that bilateral optic nerves are injured (red arrows). </p> <p><strong>Figure 4: </strong>OCT shows that the right peripapillary retinal nerve fiber layer (pRNFL) is atrophic in the temporal quadrant, and the left pRNFL is thinning in the temporal superior quadrants. Green represents pRNFL thickness, which is within normal limits; yellow represents pRNFL thickness, which is below borderline; red represents pRNFL thickness, which is below normal limits.</p> <p><strong>Figure 5:</strong> VEP shows reduced bilateral P100 amplitudes, although P100 latencies are normal in both eyes.</p> <p><strong>Figure 6:</strong> Visual fields in the right eye are partially missing in the upper right, lower right, and lower left quadrants, especially in the lower right quadrant. Visual fields in the left eye are partially missing in the four quadrants, especially in the upper left and lower right quadrants.</p> <p><strong>Figure 7:</strong> Gene analysis of <em>CSF1R</em>. The sequencing result from exon 18 of <em>CSF1R</em> (NM_005211.3) indicates a heterozygous c.2345 G>A (p.782Arg>His) substitution in the patient.</p>
Shape, motion and optical cues to stiffness of elastic objects
<p>Dataset relative to the following publication:</p> <p>Paulun, V.C., Schmidt, F., van Assen, J.J.R., & Fleming, R. W. (2017). Shape, motion and optical cues to stiffness of elastic objects. <em>Journal of Vision, 17(1):20, </em>1-20, doi:10.1167/17.1.20</p> <p>Each folder contains the data and stimulus material relative to one experiment and a text file with comments.</p>
The Influence of Optical Material Properties on the Perception of Liquids
<p>Dataset relative to the following publication:</p> <p>Jan Jaap R. van Assen, Roland W. Fleming (2016). Influence of optical material properties on the perception of liquids. Journal of Vision, 16(15):12, 1–20. doi: 10.1167/16.15.12.</p> <p>One zip file contains the datasets of the various experiments.</p> <p>The second zip file contains the liquid stimuli used during the experiments.</p>
Propagation of optical pulses through a periodic dielectric structure (Bragg Grating) designed as a delay line interferometer. Example of a designed fiber Bragg grating.
<p>Propagation of optical pulses through a periodic dielectric structure (Bragg Grating) designed as a delay line interferometer. <br> <br> A 9 cm fiber Bragg grating is designed (and fabricated) for this purpose.</p> <p>The top video shows the simulated propagation of a single optical pulse.</p> <p>The bottom video shows the simulated propagation of a sequence of optical pulses, with relative pi-phase shifts in the last pulse, showing both constructive and destructive interferences effect</p>
Data presented in "Three-dimensional Doppler, polarization-gradient, and magneto-optical forces for atoms and molecules with dark states"
<p>These are the data presented in our paper "Three-dimensional Doppler, polarization-gradient, and magneto-optical forces for atoms and molecules with dark states" which has been accepted for publication in the New Journal of Physics (as of 07 November 2016).</p>
A voltage-dependent fluorescent indicator for optogenetic applications, archaerhodopsin-3: Structure and optical properties from in silico modeling
<p>seq.fasta and P96787_1UAZ.fasta are the input files for I-TASSER suite.</p> <p>The command of running I-TASSER suite:<br> path-to-I-TASSER-dir/I-TASSERmod/runI-TASSER.pl -pkgdir path-to-I-TASSER-dir -libdir path-to-I-TASSER-lib-dir -seqname P96787 -datadir path-to-workdir -outdir path-to-outdir -java_home /usr/ -restraint2 P96787_1UAZ.fasta</p> <p>For detailed data please refer to I-TASSER documentation.</p> <p>The P96787_1UAZ_IT.zip is an archieve with I-TASSER output for the best achaerhodopsin-3 prediciton.</p> <p>SCRIPTS_GENERAL.zip contains all the scripts for the structure postprocessing: addition of hydrogen atoms,<br> chromophore insertion and equilibration, internal waters addition.</p> <p>P96787_wi.pdb is a final prepared structure.</p> <p>Input files for spectra calculations are rhodopsin_gaussian.inp and rhodopsin_orca.inp.</p> <p> </p>
Supplementary information for: "A voltage-dependent fluorescent indicator for optogenetic applications, archaerhodopsin-3: Structure and optical properties from in silico modeling".
<p>This is supplementary data for F1000Research article: A voltage-dependent fluorescent indicator for optogenetic applications, archaerhodopsin-3: Structure and optical properties from in silico modeling.</p> <p>Here are files for modeling archaerhodopsin-3 with I-TASSER, Medeller and RosettaCM algorithms, structure postprocessing and spectra calculations.</p>
Inferring the stiffness of unfamiliar objects from optical, shape and motion cues
<p>Dataset relative to the following publication:</p> <p>Schmidt, F., Paulun, V. C., van Assen, J. J. R., & Fleming, R. W. (2017). Inferring the stiffness of unfamiliar objects from optical, shape, and motion cues. <em>Journal of Vision, 17(3):18</em>, 1-17. <a href="http://dx.doi.org/10.1167/17.3.18">http://dx.doi.org/10.1167/17.3.18 </a></p> <p>Each folder contains the stimuli and data relative to one experiment and a text file with comments.<br> The folder of Experiment 1 (Material) also contains the Maxwell (NextLimit Technologies, Madrid, Spain) material files that were used to render the stimuli in all experiments.</p> <p> </p>
Synthetic spectrum covering the optical range (3000 to 10000 angstrom)
<p>NWKZKA.spr lists in two columns a surface stellar model flux (Eddington flux): column (1) wavelength in units of angstrom, and column (2) the flux in units of erg/cm^2/s/angstrom/steradian.</p>
Data for The Persistence of Memory in Ionic Conduction Probed by Nonlinear Optics
<p>Experimental and computational data and analysis workflows for the manuscript "The Persistence of Memory in Ionic Conduction Probed by Nonlinear Optics" (doi:10.1038/s41586-023-06827-6). </p><p>Python scripts:</p><ol><li>paper_tke_plots_pub.py is for experimental TKE plots</li><li>analysis_pumping_pub.py is for computational TKE plots</li></ol><p>Python requirements for the work-up of experimental data are the typical scientific python stack: numpy, matplotlib, scipy, pandas, sympy. Computational counterpart of the TKE experiment uses essentially the same hopping analysis as our computational study https://www.nature.com/articles/s41563-022-01316-z with its scripting available at https://github.com/apoletayev/anomalous_ion_conduction/ . The python package requirements are, in addition to above, networkx, freud, deepgraph, fastparquet, pyarrow. All python scripts work best when run in a notebook-like fashion cell by cell (e.g. with spyder).<br><br>Experimental data: TKE, OKE, THz transmission.<br>Computational data: example simulations of Na beta-alumina, K beta-alumina, K beta"-alumina. The files include tracking the simulation temperatures, centers of mass of the mobile ions, and hopping. <br><br>Basic usage: download and unzip data. Install python dependencies (e.g. using conda or pip). Run python from the same directory in which the data folders are located. All paths in the scripts are relative.</p>
Wavelength-division multiplexing optical Ising simulator enabling fully programmable spin couplings and external magnetic fields
<p>Recently various physical systems have been proposed for modeling Ising spin Hamiltonians appealing to solve combinatorial optimization problems with remarkable performance. However, how to implement arbitrary spin-spin interactions is a critical and challenging problem in various kinds of unconventional Ising machines. Here we propose a general gauge transformation scheme to enable arbitrary spin-spin interactions and external magnetic fields as well, by decomposing an Ising Hamiltonian into multiple Mattis-type interactions. Based on this scheme, a wavelength-division multiplexing spatial photonic Ising machine (SPIM) is developed to show the programmable capability of general spin coupling interactions. We exploit the wavelength-division multiplexing SPIM to simulate three spin systems: pm J models, Sherrington-Kirkpatrick models, and only locally connected J1/J2 models and observe the phase transitions among the spin-glass, the ferromagnetic, the paramagnetic and the stripe-antiferromagnetic phases. We also demonstrate the ground state search for solving the Max-Cut problem with the wavelength-division multiplexing SPIM. These results promise the realization of ultrafast-speed and high-power-efficiency Boltzmann sampling of a generalized large-scale Ising model.</p>
Dataset from Lagrangian bio-optical drifters during four experiments in coastal and open ocean waters
Open the record for dataset details and reuse information.
Determining intrinsic potentials and validating optical binding forces between colloidal particles using optical tweezers - Part II
<p>Dataset Part II for publication "Determining intrinsic potentials and validating optical binding forces between colloidal particles using optical tweezers", in Nature Communications.</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)
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.