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19
datasets available to search
ShareScore release 0.7.1
Dataset results
19 results for “Integrated Optics”
Data set for "Bidirectional microwave-optical transduction based on integration of high-overtone bulk acoustic resonators and photonic circuits"
<p>The repository contains raw data, processing scripts, simulation and GDS files for the manuscript "Bidirectional microwave-optical transduction based on integration of high-overtone bulk acoustic resonators and photonic circuits". For detailed usage instructions, please take a look at the README.txt file. </p>
Magnetic-Free Silicon Nitride Integrated Optical Isolator (Original Data)
<p>This is the raw dataset for the paper titled "Magnetic-Free Silicon Nitride Integrated Optical Isolator", which includes the original data and theoretical code. </p>
Voltage-tunable optical parametric oscillator with an alternating dispersion dimer integrated on chip
<p>With this commit we present or theoretical and experimental data together with plotting codes for our manuscript entitled "Voltage-tunable optical parametric oscillator with an alternating dispersion dimer integrated on chip".</p> <p>Optical parametric oscillators enable the conversion of pump light to new frequency bands using nonlinear optical processes. Recent advances in integrated nonlinear photonics have led to the creation of compact, chip-scale sources via Kerr nonlinearity-induced parametric oscillations. While these sources have provided broadband wavelength tuning, the ability to tune the emission wavelength via dynamically altering the dispersion, has not been attained so far. Here we present a voltage-tunable, on-chip integrated optical parametric oscillator based on an alternating-dispersion dimer, allowing us to tune the emission over nearly 20 THz near 1550 nm. Unlike previous approaches, our device eliminates the need for a widely tunable pump laser source and provides efficient pump filtering at the drop port of the auxiliary ring. Integration of this scheme on a chip opens up the possibility of compact and low-cost voltage-tunable parametric oscillators with diverse application possibilities.</p>
RGB and Thermal Integral Image dataset for Search and Rescue with Airborne Optical Sectioning.
<p>The `Integral Images` folder contains labels and augmented AOS integral images (both RGB and Thermal) used for training, validation and testing (`data`).</p> <p>The integral images are computed using the complete data that were recorded during 18 flights at 6 different sites over 10 different days.</p> <p> </p> <p>The dataset mirrors [YOLO (8GB)](https://zenodo.org/record/3894774/files/YOLO.zip?download=1) (`data`) for integral (`SARAOS/AOS`) images, however, now additionally contain corresponding RGB integral images in addition to corresponding thermal integral images.</p>
Data from: Integrated optical-readout of a high-Q mechanical out-of-plane mode
<p>Source data for figures.</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>
Data for "Advanced Structural Health Monitoring Method by Integrated Isogeometric Analysis and Distributed Fiber Optic Sensing"
<p>This dataset includes the experiment and simulation data of a new structural health monitoring system using distributed fiber optic sensing (DFOS) and Isogeometric Analysis (IGA).</p> <p>The experiment setup was a 5mm thick PVC pipe with a fiber optic cable wrapped around the outer surface of the pipe. The PVC pipe was subjected to an applied deformation and the distributed strains along the optical fiber was measured with a Neubrescope (NBX7031) instrument using Rayleigh backscattering technology.</p> <p>The simulation was performed using the in-house code JWRIAN-IGA developed in Joining and Welding Research Institute, Osaka University. The simulated data includes deformation, stress and strain distributions of the pipe, and projected one-dimensional fiber strains. The visualization files are post-processed with ParaView software.</p>
Miniature optical fiber curvature sensor via integration with GaN optoelectronics
<p>Raw data of publication "<strong>Miniature optical fiber curvature sensor via integration with GaN optoelectronics</strong>"</p>
Code and extensive data for training neural networks for radiation, used in "Implementation of a machine-learned gas optics parameterization in the ECMWF Integrated Forecasting System: RRTMGP-NN 2.0""
<p>Data and code used in a paper submitted to JAMES titled :<em> Implementation of a machine-learned gas optics parameterization in the ECMWF Integrated Forecasting System</em></p> <p>1) The files <strong>ml_training_*.7z</strong> contain extensive datasets (in NetCDF format) for training neural network versions of the RRTMGP gas optics scheme as described in the paper. The datasets are read by <a href="https://github.com/peterukk/rte-rrtmgp-nn/blob/main/examples/rrtmgp-nn-training/ml_train.py">ml_train.py.</a></p> <p>2) The ML datasets were in turn generated using the input profiles (in NetCDF format) inside <strong>inputs_to_RRTMGP.zip </strong>by running the Fortran programs <code>rrtmgp_sw_gendata_rfmipstyle.F90 and rrtmgp_lw_gendata_rfmipstyle.F90 </code>in <em>rte-rrtmgp-nn/examples/rrtmgp-nn-training</em>, which call the RRTMGP gas optics scheme, The input profiles contain <strong>millions of columns, hundreds of perturbation experiments (including hypercube-sampled gas concentrations), are derived from several different data sources (including CAMS reanalysis, GCM, and CKDMIP-MMM), and span present-day, preindustrial, and future atmospheric conditions.</strong> They could be used to generate training data for developing emulators of the full RTE+RRTMGP radiation scheme, not just gas optics (see nn_dev on the <a href="https://github.com/peterukk/rte-rrtmgp-nn">RTE+RRTMGP-NN repository on Github</a>, used in a previous paper where different emulation methods were compared)</p> <p>3) The Fortran and Python code used for data generation and NN training are found in<a href="https://github.com/peterukk/rte-rrtmgp-nn/tree/main/examples/rrtmgp-nn-training"> <em>rte-rrtmgp-nn/examples/rrtmgp-nn-training</em> </a>on the main branch on Github; <strong>an archived version is also included here </strong>(<strong>rte-rrtmgp-nn-2.0.zip</strong>). See the readme in the above sub-directory for further information.</p> <p> </p>
Hypermultiplexed integrated-photonics-based optical tensor processor
Open the record for dataset details and reuse information.
4D Duke Microscope Integrated Optical Coherence Tomography in a Zeiss Artevo 800
ClinicalTrials.gov study NCT07024719. IPD Sharing: NO. Countries: 1. Publications: 9.
Integrated silicon carbide electro-optic modulator
<p>Source data support the study "Integrated silicon carbide electro-optic modulator".</p>
Integrated analyses of zebrafish miRNA and mRNA expression profiles identify miR-29b and miR-223 as potential regulators of optic nerve regeneration
GEO Series GSE70261. Danio rerio. 8 samples. Type: Expression profiling by array.
Human brain organoids assemble functionally integrated bilateral optic vesicles
GEO Series GSE179438. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Dataset for An integrated microwave-to-optics interface for scalable quantum computing
<p>Source data for figures.</p>
Retinal Microvasculature by Optical Coherence Tomography Angiography During Integrating Physical Activity in Diabetic Subjects.
ClinicalTrials.gov study NCT05645068. IPD Sharing: NO. Countries: 1. Publications: 0.
Ex-vivo Examination of Excisions of Skin Tumors by Confocal Optical Coherence Tomography (LC-OCT) With Integrated Dermoscopy and Comparison With Histology (DERMOCTAV)
ClinicalTrials.gov study NCT05340543. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Optic flow odometry operates independently of stride integration in carried ants
Open the record for dataset details and reuse information.
INTEGRAL OMC First Catalog of Optically Variable Sources
The Optical Monitoring Camera (OMC) on board the high-energy INTEGRAL satellite provides photometry in the Johnson V-band within a 5 by 5 degree field of view. The OMC is able to detect optical sources brighter than around V ~ 18, from a previously selected list of potential targets of interest. After more than nine years of observations, the OMC database contains light curves for more than 70 000 sources (with more than 50 photometric points each). The objectives of the present work have been to characterize the potential variability of the objects monitored by OMC, to identify periodic sources and to compute their periods, taking advantage of the stability and long monitoring time of the OMC. The first catalog of variable sources observed by OMC has been developed with observations from October 2002 to February 2010. To detect potential variability, the authors have performed a chi-squared test, finding 5263 variable sources, for 1337 of which the periods have been determined, out of an initial sample of 6071 objects with good photometric quality and more than 300 data points each. They have studied the potential periodicity of these sources using a method based on the phase dispersion minimization technique, optimized to handle light curves with very different shapes. For each object in the catalog, the median of the visual magnitude, the magnitude at maximum and minimum brightness in the light curve during the window of observations and the period, when found, are provided. The types of variable objects in the catalogue include eclipsing binaries, pulsating stars, rotating stars, eruptive stars, extragalactic objects, X-ray binaries, cataclysmic variables, Be stars and other objects with unknown kinds of variability. Links to charts for each object, including the DSS image around the target, the unfolded and folded light curves with the periods that the authors have derived and/or with the cataloged ones are provided in this database. This table was created by the HEASARC in January 2013 based on the <a href="https://cdsarc.cds.unistra.fr/ftp/cats/J/A+A/548/A79">CDS Catalog J/A+A/548/A79</a> file omc-var.dat. This is a service provided by NASA HEASARC .
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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.