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2,649 results for “optics”
PASTIS-R PixelSet - Radar and Optical Satellite Image Time Series in Pixel-Set format
<p>Extension of the <a href="https://zenodo.org/record/5012942#.YaUaQ7so-V6">PASTIS benchmark</a> with radar and optical image time series.<br> In this version the satellite image time series are prepared in pixel-set format.</p> <p>See associated <a href="https://arxiv.org/abs/2112.07558v1">article</a> for more details.</p>
Nanoprobes for Biomedical Imaging with Tunable Near-Infrared Optical Properties Obtained via Green Synthesis
<p>Dataset of: 10.1002/adpr.202100260</p>
FIGURE. Microscopic structures of Gloeocantharellus salmonicolor (TH0817, holotype). a. Pileipellis with gloeoplerous hypha. b. Ornamented basidiospores drawn in surface view or optical section. c. Gloeocystidia. d. Basidia at different developmental stages. Bars = 10 µm. Drawings by K. Reschke. in New and interesting species of Agaricomycetes from Panama
FIGURE. Microscopic structures of Gloeocantharellus salmonicolor (TH0817, holotype). a. Pileipellis with gloeoplerous hypha. b. Ornamented basidiospores drawn in surface view or optical section. c. Gloeocystidia. d. Basidia at different developmental stages. Bars = 10 µm. Drawings by K. Reschke.
Quasi-distributed fiber optic monitoring of thermo-hydro behavior of frozen loess for frost heave prediction
<p>We developed a quasi-distributed fiber optic monitoring technology to investigate the thermo-hydro-mechanical (THM) behaviors of frozen loess. A combined method was proposed to measure in-situ ice content, providing critical parameters for understanding THM coupled effects. To characterize the soil freezing-thawing process, we further carried out subsurface automated multiphysics monitoring at a site located on the Loess Plateau, China, during 2020/2021 winter by employing quasi-distributed fiber optic sensing arrays. The inner mechanism of frost heave was revealed via field monitoring data and correlation analysis, which directly promoted the development of a semiempirical frost heave prediction method. For this study area, the proposed method requiring only temperature data as inputs was validated using our field monitoring results.</p> <p>The data presented here are the monitoring data of in-situ temperature, moisture content, and soil displacement. The results of frost heave prediction based on the field monitoring data are shown in the files.</p>
DeepCAD-RT dataset: zebrafish optic tectum neurons
<p>DeepCAD-RT dataset: zebrafish optic tectum neurons</p>
Compressibility and the equation of state of an optical quantum gas in a box
<p>This repository contains the data presented in the manuscript titled "Compressibility and the equation of state of an optical quantum gas in a box" by E. Busley et al., Science 375, 1403–1406 (2022), arXiv:2112.12787.</p> <p>1) The files named 'Fig{1,2,3,4}_raw.xlsx' contain the final data sets relevant to reproduce all plots shown in the paper</p> <p>2) The zipped folder 'raw_scripts' contains Mathematica and Python scripts as well as the relevant raw data, which allow the reproduction of the data shown in the paper</p>
Nanosecond Optical Switching and Control System for Data Center Networks(data)
<p>This file contains the data and codes for the paper "Nanosecond Optical Switching and Control System for Data Center Networks" </p>
Data and code for figures of "Gigahertz free-space electro-optic modulators based on Mie resonances" by Benea-Chelmus et al.
<p>This upload contains the main dataset represented in the figures of the following publication:</p> <p>"Gigahertz free-space electro-optic modulators based on Mie resonances"" by Benea-Chelmus et al.</p>
Subsurface Multi-Physical Monitoring of a Reservoir Landslide with the Fiber-Optic Nerve System
<p>All data used in the study to support this research is available on repository via 10.5281/zenodo.6541529</p>
3D Optical Stochastic Cooling Data
<p>Example data and processing/analysis for 3D Optical Stochastic Cooling at Fermilab's IOTA ring</p>
Datasets of the manuscript "Optical manipulation of Rashba-split 2-Dimensional Electron Gas"
<p>You can find here the two TimeResolved ARPES datasets used in the paper titled "Optical manipulation of Rashba-split 2-Dimensional Electron Gas". </p> <p>https://www.nature.com/articles/s41467-022-30742-5</p> <p>Data are in Igor Pro binary format.</p> <p>RawData_1 is the dataset used in Fig.3. The x scaling has been converted from angle to momentum and the energy is rescaled with respect to the chemical potential at negative delays. The Time Delay scaling is found in timewave_1.</p> <p>Similarly, RawData_2, RawData_20 and timewave_2 are the datasets used in Fig.2 of the paper. This x scale in both datasets has been converted from angle to momentum. The y-axes in RawData_20 is the kinetic energy. The y-axes in RawData_2 is the energy rescaled to the chemical potential at each time delay. The chemical potential is obtained by fitting the topological surface state around its Fermi momentum. </p> <p> </p>
Global coarse and fine mode aerosol optical depth (cAOD, fAOD) from 2001 to 2020
<p>Coarse and fine mode aerosol optical depth (cAOD, fAOD) is critical for understanding the impact of different particle sizes on climate. Currently, the limited data length and high uncertainty of satellite products impair the applicability of cAOD and fAOD for climate research. Here, we propose a spatio-temporal co-action deep learning model (SCAM) for the retrieval of global land cAOD and fAOD (500 nm) from 2001 to 2020, at daily temporal resolution and 1° spatial resolution.</p> <p>The cAOD and fAOD products are uploaded as Geotiff format, stretched from -89.5° to 89.5° latitude and from -179.5° to 179.5° longitude. In some certain days the products might be inavailable, due to the missing MODIS satellite data used for calculating cAOD and fAOD. </p> <p> </p>
Data and code for the article "Superconducting qubit readout via low-backaction electro-optic transduction"
<p>Data set for the manuscript "Superconducting qubit readout via low-backaction electro-optic transduction", which will appear in Nature. </p>
Aerosol Optics ML Datasets
<p>Data accompanying the paper: Geiss, A., Ma, P-L., Singh, B., and Hardin, J. C., (2022) "Emulating Aerosol Optics with Randomly Generated Neural Networks"</p> <p>note: because of difficulties uploading large files, the "training_data" directory was broken up into 3 different .zip files that will need to be merged after downloading.</p>
An optical and chemiluminescence assay for assessing the cy-totoxicity of Balamuthia mandrillaris against human neuro-spheroids
<p>A spheroid is a cell aggregate in a three-dimensional context; thereby, it recapitulates the cellular architecture in human tissue. However, the utility of spheroids as an assay for host-parasite interactions remains unexplored. This study demonstrates the potential use of neurospheroids for assessing the cytotoxicity of the life-threatening pathogenic amoeba <em>Balamuthia mandrillaris</em>. The neuroblastoma SH-SY5Y cells formed a spheroid in a hanging drop of culture medium. Cellular damage of <em>B. mandrillaris</em> trophozoites on human neuronal spheroids was observed using microscopic imaging and ATP detection. <em>B. mandrillaris</em> trophozoites rapidly caused a decrease in ATP production in the spheroid, leading to loss of neurospheroid integrity. Moreover, 3D confocal microscopy imaging revealed interactions between the trophozoites and SH-SY5Y neuronal cells in the outer layer of the neurospheroid. In conclusion, the neurospheroid allows the assessment of host cell damage in a simple and quantitative manner.</p>
Data for "Computational Design of Alloy Nanostructures for Optical Sensing of Hydrogen"
<p>This record contains data pertaining to the publication "Computational Design of Alloy Nanostructures for Optical Sensing of Hydrogen".</p>
The current, electromagnetic field and optical data of a rocket-triggered lightning with two grounding points
<p> The current, electromagnetic field and optical data of a rocket-triggered lightning with two grounding points are in the Data for Dataset.zip . These files can be opened by Origin 2021 . The data supports the aforementioned manuscript and can be used freely for scientific purposes with appropriate citation.</p>
Data of Figure 9 ("Photonic and Optomechanical Thermometry", Optics 2022, 3, 159–176, doi.org/10.3390/opt3020017)
<p>Data of figure 9 includes: (9b.csv) thermomechanical noise spectra at different temperatures obtained using a spectrum analyzer. The x-axis is centered at the fundamental resonance frequency of each spectrum for comparison. (9c.csv) temperature extracted by integrating the area under the peak at each temperature with the standard deviation.</p>
Data of Figure 11 ("Photonic and Optomechanical Thermometry", Optics 2022, 3, 159–176, doi.org/10.3390/opt3020017)
<p>Data of figure 11 includes: (11a.csv) Simulated temperature distribution plot with an incident power P = 64.39 μW; (11b.csv) thermomechanical noise spectra measured at a temperature of 5 K for different laser powers. The x-axis is the difference in frequency from the resonance frequency measured with a laser power of 64.39 μW, equal to 1.331 MHz. (11c.csv) measured resonance frequency difference versus laser power with respect to the resonance frequency acquired with a laser power of 64.39 μW; (11d.csv) temperature extracted from the measurements in (11b.csv) by integrating the area under the peak versus laser power.</p>
Supplementary data "Broad genomic workup including Optical Genome Mapping uncovers a DDX3X::MLLT10 gene fusion in Acute Myeloid Leukemia"
<pre>Supplementary data "Broad genomic workup including Optical Genome Mapping uncovers a DDX3X::MLLT10 gene fusion in Acute Myeloid Leukemia" - OGM Rare Variant Analysis for both time points extracted from Bionano Access RVP Analysis output folder: -> unfiltered annotated SV output -> unfiltered CNV output - Whole Exome Sequencing Gene Panel results as output by Varvis (Limbus) (CSV file) -> WES SNVs -> WES CNVs - Quality metrics + selected results: -> OGM; both time points -> Whole Exome Sequencing; time point 1</pre>
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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.