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2,649 results for “optics”
Data From: An App for Tree Trunk Diameter Estimation from Coarse Optical Depth Maps
<p><strong>Overview</strong></p> <p>This dataset contains RGB and depth images (raw images and text files) of tree trunks collected using Google ARCore. It has 378 samples from four countries, with DBH ranging from 4.8-155.3cm. We annotated aspects like trunk shapes, leaning, lighting conditions when captured, etc. The data was originally intended for evaluating our designed tree diameter measurement app (https://github.com/MingyueX/GreenLens).</p> <p><em>Note: treedata.zip is deprecated, please download treedata_version_2.zip instead.</em></p> <p><strong>Data introduction</strong></p> <ul> <li>treedata_version_2.zip contains two folders - <em>rgb </em>and <em>depthtxt </em>- representing raw RGB images and depth text files respectively.</li> <li>data_label.xlsx includes the labels and corresponding descriptions.</li> </ul> <p><strong>Usage Notes</strong></p> <p>The <em>rgb </em>folder contains jpg images with 480*360 resolution.</p> <p>The files with no extension in the <em>depthtxt</em> folder are stored in the format as x-coordinate of pixel, y-coordinate of pixel, depth measurement of pixel and confidence value.</p>
Field investigation of unsaturated seepage process and its influence on soil behavior for land creation in Loess plateau with fiber-optic technology
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MFMET webinar - 06. Measuring the dimensions of microfluidic devices using optical methods
<p>This video presents optical methods for measurements of dimensions (for example width, height, and length) of microfluidic devices and microchannels. Among the presented methods are optical microscopy and confocal laser scanning microscopy.</p> <p> </p> <p>Furter reading can be found:</p> <p>https://mfmet.eu/publications</p> <p>Yin et al. (2024). MFMET A3.3.4 Report on the geometry and dimension of microfluidic component ports. <a href="https://doi.org/10.5281/zenodo.10848484">Link</a></p> <p>Büker et al. (2024). MFMET Deliverable 8: Measurement protocols for dimensional characterisation of microfluidic components. <a href="https://doi.org/10.5281/zenodo.11098276">Link</a></p> <p> </p> <p>The project (20NRM02 MFMET) have received funding from the EMPIR programme co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme.</p>
Dataset 2 "Aerosol optical properties within the atmospheric boundary layer predicted from ground-based observations compared to Raman lidar retrievals during RITA-2021"
<p>This dataset provides additional profiles for the manuscript titled "Aerosol optical properties within the atmospheric boundary layer predicted from ground-based observations compared to Raman lidar retrievals during RITA-2021". It is available for those who are interested.</p>
Dataset and scripts for "Multimode characterization of an optical beam deflection setup"
<p>The main files are the following :</p> <p><strong>Multimode_characterization_of_an_optical_beam_deflection_setup.pdf </strong>is the preprint of the article.</p> <p><strong>flexion_analysis.m</strong> is a Matlab script which analyses the amplitudes and frequencies of the contrasts corresponding to deflexion modes of the cantilever and stored in flexion_data.mat to compute the OBD spot position and size, and plot Figs. 3a, 3b, and 5b of the article.<br><strong>torsion_analysis.m</strong> is a Matlab script which analyses the amplitudes and frequencies of the contrasts corresponding to torsion modes of the cantilever and stored in flexion_data.mat to compute the OBD spot position and size, and plot Figs. 3c, 3d, and 5c of the article.<br><strong>ModeNumberStudy.m</strong> is a Matlab script which creates Fig. 4 of the article.</p> <p>All other matlab scripts and mat files are dependecies, their use is commented in the main scripts.</p> <p> </p>
Challenges in submarine fiber-optic earthquake monitoring
<p>This dataset contains three subsets of data from a Distributed Acoustic Sensing (DAS) experiment near Santorini, Greece. The file named microseisms* contains 10 minutes of data during a period of strong microseismic activity. The two files named earthquake* contain the data for two seismic events underneath the Kolumbo volcanic chain. </p>
Dataset for "A micro-opto-mechanical glass interferometer for megahertz modulation of optical signals"
<p>This dataset contains the raw data at the basis of the graphs reported in the paper:<br>"A micro-opto-mechanical glass interferometer for megahertz modulation of optical signals"<br>by Roberto Memeo, Andrea Crespi and Roberto Osellame.</p> <p>The preprint is uploaded in the arXiv.org repository: <br> arXiv:2402.01374 https://doi.org/10.48550/arXiv.2402.01374<br>This paper is published as:<br> Optica 11, 178-183 (2024). https://doi.org/10.1364/OPTICA.506669</p> <p>It contains one CSV file per graph. Figure numbering of the arXiv preprint is followed in naming the folders.</p>
All-optical steering on the proton emission in laser-induced nanoplasmas - This is a new version. The data name of Figures 2 and 3 in version 2 is wrong, the data in Figure 2 correspods to Figure 3, and the data in Figure 3 correspods to Figure 2 in manuscript.
<p>all the raw data for the main figures of our literature "All-optical steering on the proton emission in laser-induced nanoplasmas"</p>
CARMA determined light curves and PSDs to accompany ApJ publication Optical Variability Properties of Southern TESS Blazars
<p>A collection of all Figures included in Appendix D of Optical Variability Properties of Southern TESS Blazars (Dingler & Smith 2024).</p>
Quaver regressed light curves to accompany ApJ publication Optical Variability Properties of Southern TESS Blazars
<p>A collection of all Figures included in Appendix A of Optical Variability Properties of Southern TESS Blazars (Dingler & Smith 2024).</p>
Experimental Evaluation of All-Optical Up- and Down-Conversion of 3GPP 5G NR Signals using an Optomechanical Crystal Cavity Frequency Comb
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Floquet dynamics of ultracold atoms in optical lattices with a parametrically modulated trapping potential
<p>This dataset includes the data on which the figures of the preprint "Floquet dynamics of ultracold atoms in optical lattices with a parametrically modulated trapping potential" by Usman Ali, Martin Holthaus, Torsten Meier ( https://arxiv.org/abs/2405.02125v1 ) are based and the relevant codes that were used to generate the data.</p> <p>U.A. gratefully acknowledges support from Deutscher Akademischer Austauschdienst (DAAD, German Academic Exchange Service) through a doctoral research grant and we thank the PC2 (Paderborn Center for Parallel Computing) for providing computing time. M.H. has been supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through Project No. 397122187.</p>
Fig 6 in Whole-Genome Optical Mapping and Finished Genome Sequence of Sphingobacterium deserti sp. nov., a New Species Isolated from the Western Desert of China
Fig 6. Venn diagram depicting orthologous groups of predicted proteins encoded in four sphingobacterial genomes. C1: Sphingobacterium spiritivorum ATCC 33300; C2: Sphingobacterium paucimobilis HER1398; C3: Sphingobacterium thalpophilum DSM11723; and C4: Sphingobacterium deserti ZWT. doi:10.1371/journal.pone.0122254.g006
Fig 4 in Whole-Genome Optical Mapping and Finished Genome Sequence of Sphingobacterium deserti sp. nov., a New Species Isolated from the Western Desert of China
Fig 4. Genome map of Sphingobacterium deserti sp. nov. ZWT. Concentric tracks from the inside to the outside represent the GC nucleotide bias; the GC content; tRNA and rRNA genes on the reverse strand; tRNA and rRNA genes on the forward-strand; reverse-strand coding sequences (CDSs); and forwardstrand CDSs. doi:10.1371/journal. pone.0122254.g004
Fig 1 in Whole-Genome Optical Mapping and Finished Genome Sequence of Sphingobacterium deserti sp. nov., a New Species Isolated from the Western Desert of China
Fig 1. Electron micrograph of the cell morphology of strain ZWT. doi:10.1371/journal.pone.0122254.g001
Fig 5 in Whole-Genome Optical Mapping and Finished Genome Sequence of Sphingobacterium deserti sp. nov., a New Species Isolated from the Western Desert of China
Fig 5. Whole-genome optical mapping barcode of Sphingobacterium deserti sp. nov. ZWT. Vertical lines represent restriction sites; distances between lines represent fragment sizes.
Diamond-turned GaAs WGMR with million optical Q factor, L. M. Platt, M. I. Suresh, F. Azeem, L. S. Trainor, and H. G. L. Schwefel, Zenodo 2024
<p>Data sets corresponding to plotted figures in the manuscript titled "Single-point-diamond-turned GaAs disk resonator with a million optical quality factor," by L. M. Platt et al. </p>
Experimental Data for 'Beyond memory-effect matrix-based imaging in scattering media by acousto-optic gating'
<p>This repository contains the data used in Figures 3 and 4 of our study on noninvasive imaging beyond the optical memory-effect utilizing acousto-optic gating. The data files are organized into two folders: 'Figure 3' and 'Figure 4'. All data files can be loaded using PyTorch.</p> <p><strong>Folder Structure and Content:</strong></p> <ol> <li> <p><strong>Figure 3:</strong></p> <ul> <li>This folder contains the measurements that have been digitally propagated to the conjugated plane.</li> <li>The folder also includes a ground truth file named 'object_direct_imaging.trc'.</li> </ul> </li> <li> <p><strong>Figure 4:</strong></p> <ul> <li>This folder contains two data files: <ul> <li>One file includes measurements with acoustic modulation.</li> <li>The other file includes measurements without acoustic modulation.</li> </ul> </li> <li>The folder also contains a ground truth file named 'digits_direct_imaging.trc'.</li> </ul> </li> </ol> <p> </p>
Optical INT and WHT spectra of SN 2014J
<p>Optical INT and WHT spectra of SN 2014J</p>
Supplementary Dataset for Airborne Optical Sectioning: JKU bushes
<p>Dataset for Figure 3 of the paper "Airborne Optical Sectioning".</p> <p>Contains:</p> <p>- the unprocessed raw images recorded by our camera drone (Parrot Bebop 2)<br> - processed (rectified and cropped) images with corresponding camera poses used for photogrammetry and visualization.</p>
ScienceDex guides
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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.