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2,649 results for “optics”
Coherent soliton condensation in the optical event horizon (experimental data)
<p>tar.gz-archive of experimental data for the article</p> <p>"Coherent soliton condensation in the optical event horizon"</p> <p>S. Bose (1,2), O. Melchert (1,3), I. Babushkin (1,3), M. Pal (2), U. Morgner (1,3), G. Steinmeyer (5,6), and A. Demircan (1,3)</p> <ol> <li>Institute of Quantum Optics, Leibnitz Universität Hannover, Welfengarten 1, 30167 Hannover, Germany</li> <li>Fiber Optics and Photonics Division, CSIR-Central Glass and Ceramic Research Institute (CGCRI), Kolkata, India</li> <li>Cluster of Excellence PhoenixD, Welfengarten 1, 30167, Hannover, Germany</li> <li>Max-Born-Institut, Max-Born-Straße 2A, 12489 Berlin, Germany</li> <li>Institut für Physik, Humboldt-Universität zu Berlin, Newtonstraße 15, 12489 Berlin, Germany</li> </ol>
Tensile properties of glaucomatous human sclera, optic nerve, and optic nerve sheath
<p><strong><span>Purpose</span></strong><span>. <span>We characterized the tensile behavior of sclera, optic nerve (ON), and ON sheath in eyes from donors with glaucoma, for comparison with published data without glaucoma.</span></span></p> <p><strong><span>Methods</span></strong><span>. <span>Twelve freshly harvested eyes were obtained from donors with history of glaucoma, of average age 86±7 (standard deviation) years. Rectangular samples were taken from anterior, equatorial, posterior, and peripapillary sclera, and ON sheath, while ON was in native form and measured using calipers. Under physiological temperature and humidity, tissues were preconditioned at 5% strain before loading at 0.1 mm/s. Force-displacement data were converted into engineering stress-strain curves fit by </span></span><span>reduced polynomial hyperelastic models</span><span>, and analyzed by tangent moduli at 3% and 7% strain. Data were compared with an age-matched sample of 7 published control eyes.</span></p> <p><strong><span>Results</span></strong><span>. <span>Optic atrophy was supported by significant reduction in ON cross-section to 73% of normal in glaucomatous eyes. Glaucomatous was significantly stiffer than control <span> </span>in equatorial and peripapillary regions (P<0.001). However, glaucomatous ON and sheath were significantly less stiff than control, particularly at low strain (P<0.001). Hyperelastic models were well fit to stress-strain data (R<sup>2</sup>>0.997). Tangent moduli had variability similar to control in most regions, but was abnormally large in peripapillary sclera. Tensile properties were varied independently among various regions of the same eyes. </span></span></p> <p><strong><span>Conclusion</span></strong><span>. <span>Glaucomatous sclera is abnormally stiff, but the ON and sheath are abnormally compliant. These abnormalities correspond to properties predicted by finite element analysis to transfer potentially pathologic stress to the vulnerable disc and lamina cribrosa region during adduction eye movement.</span></span></p>
Data and scripts for "Optical line shapes of color centers in solids from classical autocorrelation functions"
<p>This record contains data and code that accompany the paper "Optical line shapes of color centers in solids from classical autocorrelation functions". Specifically it includea databases in ase sqlite format (*<code>.db</code>) with reference data from density functional theory calculations. These data were used in the construction of the machine-learned potential model using the neuroevolution potential (NEP) methodology. The model (<code>nep.txt</code>) is included in a format suitable for the GPUMD package (https://gpumd.org).</p> <p>Note that the atom type information in the databases already includes the labeling of the defect environment that is expected by the NEP model, according to the following rules</p> <ul> <li>Si(gs) → P</li> <li>C(gs) → N</li> <li>Si(ex) → S</li> <li>C(ex) → O</li> </ul> <p>The "bulk" species (Si, C) remain unchanged.</p>
In vivo optimization of the experimental conditions for the non-invasive optical assessment of breast density
<p>We applied time-domain diffuse optical spectroscopy over a broad spectral range (600-1100 nm) to estimate the breast composition in terms of water, lipids, collagen, oxy- and deoxy-hemoglobin concentrations, together with scattering parameters (scattering amplitude <em>a</em> and scattering power <em>b</em>). These optical parameters are correlated with the density of the breast, which is an important risk factor involved in the development of breast cancer. We performed <em>in vivo </em>measurement on 11 healthy volunteers, using a measurement protocol that involves reflectance and transmittance geometries, different positions of the subject and different measurement locations on the breast. This work has been pubblished in Scientific Reports: https://doi.org/10.1038/s41598-024-70099-x .</p> <p>This page contains the dataset generated during this work, togheter with some tools to read it and the analysis that we performed.</p>
QM9-OR: DFT Optimized Geometries and Optical Rotations for Selected QM9 Molecules
<p>The QM9-OR data set consists of 121,416 molecules extracted from the original QM9 data set. For each molecule, the coordinate geometry is optimized using density functional theory, and the calculated specific rotations at three wavelengths using CAM-B3LYP/6-31G** are provided. The number of chiral centers and the absolute configurations are also provided for each molecule. Data set is a binary file in NumPy (npy) format. Each entry contains the following: index number, InChI identifier, Cartesian coordiantes, one-hot encoded atom type (H, C, N, O, F), chiral centers, and calculated optical rotations at 355 nm, 589.3 nm, and 633 nm.</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>
Nares Strait Optical Imagery Sea Ice Observations
<p>Optical satellite imagery from acquired in the Nares Strait between from May to August over a 14-year period for Modis and a seven-year period for Sentinel-2. Clear days after the ice breakup within the Nares Strait were selected to ensure individual fragments could be identified. Images were collected between May and August 2016-2023.</p>
Satellite-ground synchronous in-situ dataset of water optical parameters and surface temperature for typical lakes in China
<p>Remote sensing technology has the potential to significantly enhance the lakes large-scale and long-term dynamic monitoring capabilities. High-quality in-situ datasets are essential for improving the accuracy and reliability of remote sensing retrieval of water optical parameters. This dataset provides satellite-ground synchronized in-situ data on water optical parameters for typical lakes in China spanning the period between 2020 and 2023. The dataset includes quality-checked remote sensing reflectance ( ) data and water optical parameter data for chlorophyll-a (Chl-a), total suspended matter (TSM), Secchi disk depth (SDD), andwater surface temperature (WST). It encompasses 586 sampling points across 18 lakes. The dataset exhibits two significant highlights: Firstly, synchronous observations from multiple satellites are coordinated during the data collection process, effectively supporting the retrieval and validation of water remote sensing products. Secondly, it encompasses diverse data types, collecting synchronous measurements of and various water optical parameters. This dataset will be continuously updated, thereby making a substantial contribution to enhancing regional and global lake monitoring capabilities through satellite remote sensing data.</p>
Optimal (v, 4, 1) binary cyclically permutable constant weight codes ((v,4,1) optical orthogonal codes (OOC)) and cyclic S(2, 4, v) designs
<p><strong>Optimal (v, 4, 1) binary cyclically permutable constant weight codes ((v,4,1) optical orthogonal codes (OOC)) and cyclic S(2, 4, v) designs.</strong></p> <p><strong>All (v,4,1) OOC</strong> for 26≤v≤76 and v=85: All_oc_26-85_4_1.zip</p> <p><strong>All cyclic 2-(v,4,1) designs</strong> for v=40, 52, 64, 76, 88: d_4_1.zip.</p> <p><strong>Some (v,4,1) OOC: </strong></p> <p>The codes are constructed by backtrack search considering all possibilities for the first two codewords (n=0 and n=1), but only the first 3 possibilities for the n-th codeword (n > 1) are considered for 77≤v≤98: E3oc_77-98_4_1.zip.</p> <p>The codes are constructed by backtrack search considering all possibilities for the first two codewords (n=0 and n=1), but only the first 2 possibilities for the n-th codeword (n > 1) are considered for 99≤v≤136: E2oc_99-136_4_1.zip</p> <p><strong>Some cyclic 2-(v,4,1) designs. </strong>The designs are constructed by backtrack search considering all possibilities for the first two or three baseblocks, but only the first 2 possibilities for the n-th baseblock (n > 1 for strictly cyclic designs, n>2 for designs with one short orbit) are considered for 100≤v≤160: E2d_4_1.zip</p>
Diffuse Optical Tomography Dataset - Unstructured Scans
<p>This repository houses a simulated dataset designed for Frequency-Domain Diffuse Optical Tomography (FD-DOT) experiments. It includes a total of 60,000 examples, each comprised of a target volume representing 3D absorption and reduced scattering properties - randomized within a biologically realistic range for human breast tissue - plus amplitude and phase components of corresponding frequency-domain reflectance measurements, for a randomly selected subset of high-density source detector positions. The dataset encompasses raw data, preprocessed data, mesh information, and supplementary metadata.</p>
Exploring ultraweak photon emissions as optical markers of brain activity - Dataset and statistical models
Open the record for dataset details and reuse information.
PollyXT and COSMO-MUSCAT data for "Investigating the link between mineral dust hematite content and intensive optical properties by means of lidar measurements and aerosol modelling"
<p>The dataset contains 4 different files: </p> <ul> <li>For the single case example on the 24 August 2021 between 2:45 to 5:27 UTC in Mndelo, Cabo Verde: <ul> <li>-Mindelo-PollyXT_CPV-20210824_0245-0527-77smooth-info.txt : contains the information of the vertically retrieved optical properties from PollyXT lidar measurements. The information contained refers to the chosen retrieval times, vertical smoothing, and reference heights</li> <li>-Mindelo-PollyXT_CPV-20210824_0245-0527-77smooth.txt : vertically retrieved optical properties per height.</li> <li>-Mindelo-model_24aug.csv : COSMO-MUSCAT vertical results of dust and mineral mass concentrations per height. The columns that end with "int mass" correspond to the integrated mass per dust layer and columns that end with numbers correspond to different size bins. For reference to the size bins see Table 1 in Gómez Maqueo Anaya et al., 2024</li> </ul> </li> <li>Mutiple case studies: <ul> <li>-Mindelo-lidar-uvvisdiff_model.csv : Twenty-two case studies with the following order: first, the mean values of the lidar-derived optical properties, along with their corresponding retrieval times and heights that define the dust plume. This is followed by the POLIPHON (Mamouri and Ansmann, 2014, 2017) data. The mean values from dust and mineral mass concentrations from the model start with the model heights where the dust plumes were calculated. At the end of the dataset rows, the times from which the modeled mean values are calculated can be found.</li> </ul> </li> </ul>
Topology Bench: Systematic Graph Based Benchmarking for Optical Networks
<p>TopologyBench is a systematic graph theoretical approach to benchmarking optical network topologies. Network datasets are combined with their corresponding graph theoretical analysis to provide a systematic methodology for selecting diverse sets of optical networks for benchmarking. This topology benchmark is comprised of a network dataset and a systematic graph theoretic analysis. The dataset provides (a) 105 real optical networks and (b) synthetic topologies, generated by the SNR-BA model, divided into (i) Syn-small of 900 synthetic networks and (ii) Syn-large of 270,000 synthetic networks. The systematic graph theoretical analysis identifies and analyses structural, spatial and spectral properties of both the real world and synthetic networks. The graph theoretical correlation analysis reveal network design strategies leading to sparse yet efficient networks. An outlier analysis identifies networks that deviate from standard network designs. The analysis also identifies the limitations of real data in terms of network diversity and provides a justification for using synthetic data to complement the real dataset. We conclude the paper by providing a systematic methodology to cluster networks based on unsupervised machine learning and to select a diverse set of topologies for benchmarking. TopologyBench is a novel, high-quality and unified benchmark designed to facilitate research collaborations in long-haul fibre infrastructure by providing a systematic graph theoretical approach to benchmarking optical networks.</p> <p> </p> <p>If you use any of the data provided, please cite our paper:</p> <p> </p> <pre>@article{matzner2024topology, title={Topology Bench: systematic graph-based benchmarking for core optical networks}, author={Matzner, Robin and Ahuja, Akanksha and Sadeghi, Rasoul and Doherty, Michael and Beghelli, Alejandra and Savory, Seb J and Bayvel, Polina}, journal={Journal of Optical Communications and Networking}, volume={17}, number={1}, pages={7--27}, year={2024}, publisher={IEEE} }<br><br></pre>
All-optical superconducting qubit readout
<p>Here you can find data and its analysis used in the creation of the publication "All-optical superconducting qubit readout". https://arxiv.org/abs/2310.16817</p>
Bio-optical Database of the Arctic Ocean
<p>The Arctic bio-optical database assembles a diverse suite of biological and optical data from 34 expeditions throughout the Arctic Ocean. Data combined into a single AO database following the OBPG criteria (Pegau et al. 2003), as was done in the development of the global NASA Bio-optical Marine Algorithm Data Set (NOMAD) (Werdell 2005, Werdell & Bailey 2005). This Arctic database combines coincident <i>in situ</i> observations of IOPs, apparent optical properties (AOPs), Chl <i>a</i>, environmental data (e.g. temperature, salinity) and station metadata (e.g. sampling depth, latitude, longitude, date). Data were acquired from the NASA SeaWiFS Bio-optical Archive and Storage System (SeaBASS, https://seabass.gsfc.nasa.gov/), the LEFE CYBER database (http://www.obs-vlfr.fr/proof/index2.php), the Data and Sample Research System for Whole Cruise Information in JAMSTEC (DARWIN, http://www.godac.jamstec.go.jp), NOMAD, and individual contributors. To ensure consistency, data were limited to those that were collected using OBPG defined protocols (Pegau et al. 2003). Only observations shallower that 30 m were included. For spectral parameters, we included data at the following wavelengths that are used by satellite and thus are relevant for ocean color algorithm evaluation: 412, 443, 469, 488, 490, 510, 531, 547, 555, 645, 667, 670 and 678 nm. <i>In situ</i> measurements were binned at the same station if measurements were within 8 hours and 1° of distance (Werdell & Bailey 2005). For regional analyses, each station was assigned to one of ten sub-regions and three functional shelf-types (Carmack et al. 2006).</p>
Optical traits perform equally well as directly-measured functional traits in explaining the impact of an invasive plant on litter decomposition
<p>1. Functional traits can help elucidate and predict the impact of invasive plant species on ecosystem functioning. Yet, this approach requires comprehensive and labor-intensive trait collection campaigns, covering intraspecific trait variation of both the invader and native species in the invaded community. One potential way to overcome these logistic constraints is using hyperspectral remote sensing technology to efficiently quantify functional trait values. Although such spectrally derived or 'optical' traits are known to closely link to directly-measured functional traits, little research has explored how well these optical traits perform in assessing invader-induced ecosystem impact. 2. Here, we explored the trait-mediated impact of the invasive Rosa rugosa on litter decomposition and evaluated whether optical traits perform equally well as directly-measured traits in predicting litter decomposition variation. We collected data on species-specific functional traits, leaf hyperspectral reflectance and standardized 'tea bag index' litter decomposition across 25 invaded and 25 uninvaded coastal grassland plots. The selected traits were all potentially related to litter decomposition and covered the leaf economics spectrum, additional leaf structural components and competitive ability. Optical traits were quantified through a combination of a physical radiative transfer model inversion and vegetation indices calculations. 3. Invasion significantly increased the stabilization factor, i.e. the amount of resulting recalcitrant litter. Invader impact on litter decomposition could be entirely explained by changes it induced in the functional traits of the native community, rather than by the invader's traits itself. More specifically, the invader pushed the invaded community towards traits associated with high litter quality. Optical traits performed equally well as directly-measured traits in explaining the invasion impact on the stabilization factor (R2= 41.9% vs. 38.5%). Furthermore, the interpretation of the results based on optical traits resulted in a similar functional understanding of the invader impact. 4. Synthesis: Our results indicate the potential of hyperspectral data to explain changes in ecosystem functioning. The combination of radiative transfer models and vegetation indices allowed to extract all relevant trait information from the hyperspectral data. This framework thus presents a practical short-cut to assess relevant leaf traits, requiring only a limited amount of field trait measurements.</p>
Dataset of numerical model for enhancing stimulated Brillouin scattering in optical fibers
<p>Stimulated Brillouin scattering (SBS) is useful, among others for generating slow light, sensing and amplification. SBS was previously viewed as a penalty due to the limitation on optical power in high-powered photonic applications. However, considering the many possible applications using SBS, it is now of interest to enhance SBS in areas of Brillouin frequency shift together with Brillouin Gain. A numerical model, using a fully vectorial approach, by employing the finite element method, was developed to investigate methods for enhancing SBS in optical fiber. This paper describes the method related to the numerical model and discusses the analysis between the interactions of horizontal, shear and hybrid acoustic modes; and optical modes in optical fiber. Two case studies were used to demonstrate this. Based on this numerical model, we report the influence of core radius, clad radius and effective refractive index on the Brillouin frequency shift and gain. We observe the difference of Brillouin shift frequency between a normal silica optical fiber and that of a tapered fiber where nonlinearities are higher. Also observed, the different core radii used and their respective Brillouin shift. For future work, the COMSOL model can also be used for the following areas of research, including simulating "surface Brillouin shift" and also to provide in-sights to the Brillouin shift frequency v<sub>B</sub><span><span></span></span> of various structures of waveguides, e.g circular, and triangular, and also to examine specialty fibers, e.g. Thulium and Chalcogenide doped fibers, and their effects on Brillouin shift frequency.</p>
Supplementary data for the manuscript: Image2SMILES: Transformer-based Molecular Optical Recognition Engine
<p>This is the supplementary data for the manuscript: <a href="https://chemrxiv.org/engage/chemrxiv/article-details/60c758c6469df4169bf45744">Image2SMILES: Transformer-based Molecular Optical Recognition Engine</a></p> <p>It contains pairs of image-string, generated from 1M SMILES strings. These strings were randomly chosen from PubChem database.<br> It was prepared using the code, published at <a href="https://github.com/syntelly/img2smiles_generator/">https://github.com/syntelly/img2smiles_generator/</a></p> <p>To unpack do:<br> <em>tar xvf subset_1M.tar.xz && tar xvf subset_1M_dump.tar.gz && rm subset_1M_dump.tar.gz</em></p> <p>You'll get the following data:</p> <ul> <li>subset_1M.smi - list of 1M source SMILES</li> <li>subset_1M_dump - directory with images </li> <li>subset_1M_result.csv - list of pairs FGSMILES - pathcode, first 3 chars of pathcode are corresponding subdirs in subset_1M_dump</li> <li>subset_1M_fails.csv - list of failed molecules from subset_1M.smi</li> <li>subset_1M_grpcounter.lst - list of counted groups, used in this generation</li> </ul> <p>You can generate your own data using <a href="https://github.com/syntelly/img2smiles_generator/">https://github.com/syntelly/img2smiles_generator/</a> </p>
Artificial Neural Network Symbol Demapper for Coherent Optical Fiber Systems
<p>M-files and datasets that implement an artificial neural network (ANN) demapper targeted to the compensation of fiber nonlinearities in coherent optical transmission systems. </p> <p>The dataset contains simulation data of a 11-channel WDM fiber link with numerical propagation implemented by the split-step Fourier method over standard single-mode fiber with 100 km per span and inline optical amplification with 5 dB noise figure. The launched optical power is varied in the range of 0 to 5 dBm and the distance is swept up to 30 fiber spans. The transmitted signal is a root-raised cosine single-carrier 16QAM at 64 Gbaud. </p>
Clear optically matched panoramic access channel technique (COMPACT) for large-volume deep brain imaging
<p>Source data of paper "Clear optically matched panoramic access channel technique (COMPACT) for large-volume deep brain imaging" published on Nature Methods.</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.