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ShareScore release 0.9.0
Dataset results
20 results for “Electro-optic”
Dataset for "Fast and efficient demultiplexing of single photons from a GaAs quantum dot with resonantly enhanced electro-optic modulators"
<p><strong>Dataset for "Fast and efficient demultiplexing of single photons from a quantum dot with resonantly enhanced electro-optic modulators"</strong></p> <p>A description of the dataset is found in the <strong>readme.md</strong> file (markdown markup language).</p>
Data and codes for "A cryogenic electro-optic interconnect for superconducting devices"
<p>Here you find all raw data files and processing Python scripts for plots presented in "A cryogenic electro-optic interconnect for superconducting devices" Amir Youssefi, et.al. Nature Electronics 2021</p> <p> </p>
Data Analysis files for "Coherent optical control of a superconducting microwave cavity via electro-optical dynamical back-action"
<p>Data analysis files for the manuscript "Coherent optical control of a superconducting microwave cavity via electro-optical dynamical back-action", <a href="https://www.nature.com/articles/s41467-023-39493-3#data-availability">Nature Communications <strong>14</strong>, 3784 (2023)</a>, or <a href="https://arxiv.org/abs/2210.12443">arXiv:2210.12443 (2022)</a></p> <p>This contains the raw data, the data analysis files, and the figure generation files of the manuscript, which includes the following three parts,</p> <p>0. Data preparation</p> <p>The total size of the raw dataset is around 120GB. The raw data is pre-processed via digital down-conversion at 40MHz to obtain the optical/microwave transient response of the electro-optical device in the presence of strong optical pulses at different powers and frequencies.</p> <p>The processed data is adopted for data analysis of the response measurements for convenience.</p> <p>1. Data Analysis</p> <ul> <li>Detailed data analysis of the electro-optical (microwave and optical) responses in presence of the optical pump pulses for different mode and probing configurations.</li> </ul> <p>2. Figures for the manuscripts.</p> <ol> <li>Figures for the optical characterizations</li> <li>Figures for the coherent responses for different configurations</li> <li>Figures for the excess back-action</li> <li>Figures for the theoretical curves in the Supplementary Information </li> </ol>
Data of publication A Frequency-Multiplexed Coherent Electro-optic Memory in Rare Earth Doped Nanoparticles
<p>Data corresponding to main text figures of publication : A. Fossati, S. Liu, J. Karlsson, A. Ikesue, A. Tallaire, A. Ferrier, D. Serrano, and P. Goldner, <em>A Frequency-Multiplexed Coherent Electro-Optic Memory in Rare Earth Doped Nanoparticles</em>, Nano Lett. <strong>20</strong>, 7087 (2020).</p>
Bidirectional Electro-Optic Wavelength Conversion in the Quantum Ground State
<p>This dataset comprises all data shown in the plots of the main part of the submitted article "Bidirectional Electro-Optic Wavelength Conversion in the Quantum Ground State". Additional raw data are available from the corresponding author on reasonable request.</p>
Dataset for Tunable on-chip electro-optic frequency-comb generation at 8 µm wavelength
<p>This dataset contains the information contained in Figures 2, 3, 4, 6, 7, 8, 9 of the related manuscript. This research dataset should be interpreted and understood in the context of the corresponding manuscript, which has been published in Laser & Photonics Reviews with DOI: 10.1002/lpor.202300961. All relevant information regarding the dataset, how it was obtained and its context is contained in the manuscript. The data correspond to the information shown in the figures of the manuscript. </p> <p>Each file is in .txt format, the decimal separator is a point '.' and the column separator is a tab '\t'.</p>
Data for figures in "An ultra-stable microresonator-based electro-optic dual frequency comb"
<p>Data for figures in "An ultra-stable microresonator-based electro-optic dual frequency comb"</p> <p> </p> <p>"Contents.csv" summarises data files.</p>
Hybrid electro-optical trap for experiments with levitated particles in vacuum
<p>Data for the paper "Hybrid electro-optical trap for experiments with levitated particles in vacuum"</p>
Data for "High-fidelity sub-petabit-per-second self-homodyne fronthaul using broadband electro-optic combs"
<p>The files contain the data and codes for the paper "High-fidelity sub-petabit-per-second self-homodyne fronthaul using broadband electro-optic combs".</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>
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>
Data from: Topological, chemical, and electro-optical characteristics of riboflavin-doped artificial and natural DNA thin films
DNA is considered as a useful building bio-material, and it serves as an efficient template to align functionalized nanomaterials. Riboflavin (RF)-doped synthetic double-crossover DNA (DX-DNA) lattices and natural salmon DNA (SDNA) thin films are constructed using substrate assisted growth and drop-casting methods, respectively, and their topological, chemical, and electro-optical characteristics were evaluated. The critical doping concentration of RF ([RF]C, ~5 mM) at given concentrations of DX-DNA and SDNA were obtained by observing the phase transition (from crystalline to amorphous structures) of DX-DNA and precipitation of SDNA in solution above [RF]C. [RF]C are verified by analyzing the atomic force microscopy images for DX-DNA and current, absorbance, and photoluminescence for SDNA. We study the physical characteristics of RF-embedded SDNA thin films, which are the Fourier transform infrared (FTIR) spectrum to understand the interaction between the RF and DNA molecules, current to evaluate the conductance, absorption to understand the RF binding to the DNA, and photoluminescence (PL) to analyze the energy transfer between the RF and DNA. The current and UV absorbance band of SDNA thin films decrease up to [RF]C followed by an increase above [RF]C. In contrast, the PL intensity illustrates the reverse trend, as compared to the current and UV absorbance behavior as a function of the varying [RF]. Due to the intense PL characteristic of RF, the DNA lattices and thin films with RF might offer immense potential to develop efficient bio-sensors and useful bio-photonic devices.
Integrated silicon carbide electro-optic modulator
<p>Source data support the study "Integrated silicon carbide electro-optic modulator".</p>
Data from: Topological, chemical, and electro-optical characteristics of riboflavin-doped artificial and natural DNA thin films
Open the record for dataset details and reuse information.
GHRSST Level 2P Sea Surface Temperature version 1.0 from the Electro-Optical Infrared Weather System Geostationary (EWSG1) produced by NAVO
A Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P sea surface temperature produced by The Naval Oceanographic Office (NAVO) from the GOES Imager sensor on the Electro-Optical Infrared Weather System – Geostationary satellite (EWS-G1). The EWS-G1, formerly GOES-13, is the first Department of Defense owned geostationary weather satellite, which has been repositioned over Indian Ocean (IO) region at 60.0° West longitude in January 2018 and fully operational since September 8, 2020, providing timely cloud characterization and theater weather imagery to DoD. The EWS-G1 L2P SST product is calculated based on the 4-micron (band 2) and 11-micron (band 4) channels, providing nighttime and daytime SST. However, daytime SSTs are not produced in areas where the 4-micron channel is strongly affected by Solar radiation, which is defined by solar reflection angle > 50 degree. The L2P data are packaged according to the GHRSST Data Specification version 2 (GDS2) in netCDF4 format at 0.04-degree spatial resolution and stored in 48 half-hour granules per day. The data will be continually updated with 24 hours latency.
Data and code for figures of "Electro-optic spatial light modulator from an engineered organic layer" by Benea-Chelmus et al.
<p>This upload contains the main dataset represented in the figures of the following publication:</p> <p>"Electro-optic spatial light modulator from an engineered organic layer" by Benea-Chelmus et al.</p>
Comparison of the RevLite Electro-optic Q-Switched Neodymium-doped Yttrium Aluminium Garnet (EO QS Nd:YAG) Laser to a Fractionated Laser System
ClinicalTrials.gov study NCT00955461. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Proof of Concept - Digital Electro-optical Surgical Platform as Replacement for Operational Microscopes
ClinicalTrials.gov study NCT02715388. IPD Sharing: NO. Countries: 1. Publications: 0.
GHRSST Level 2P Sea Surface Temperature version 1.0 from the Electro-Optical Infrared Weather System Geostationary (EWSG2) produced by NAVO
A Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P sea surface temperature dataset produced by the Naval Oceanographic Office (NAVO) from the GOES Imager sensor on the Electro-Optical Infrared Weather System – Geostationary satellite (EWS-G2). The EWS-G2, formerly GOES-15, is the second Department of Defense owned geostationary weather satellite, which has been repositioned over Indian Ocean (IO) region at 60.0° West longitude in September 2023 and fully operational since December 3, 2023, providing timely cloud characterization and theater weather imagery to DoD. The EWS-G2 L2P SST product is calculated based on the 4-micron (band 2) and 11-micron (band 4) channels, providing nighttime and daytime SST. However, daytime SSTs are not produced in areas where the 4-micron channel is strongly affected by Solar radiation, which is defined by solar reflection angle > 50 degrees. The L2P data are packaged according to the GHRSST Data Specification version 2 (GDS2) in netCDF4 format at 0.04-degree spatial resolution and stored in 104 partial disks per day. The data will be continually updated with 24 hours latency.
A ferroelectric liquid crystal confined in cylindrical nanopores: reversible smectic layer buckling, enhanced light rotation and extremely fast electro-optically active Goldstone excitations
<p>The orientational and translational order of a thermotropic ferroelectric liquid crystal (2MBOCBC) imbibed in self-organized, parallel, cylindrical pores with radii of 10, 15, or 20 nm in anodic aluminium oxide monoliths (AAO) are explored by high-resolution linear and circular optical birefringence as well as neutron diffraction texture analysis. The results are compared to experiments on the bulk system. The native oxidic pore walls do not provide a stable smectogen wall anchoring. By contrast, a polymeric wall grafting enforcing planar molecular anchoring results in a thermal-history independent formation of smectic C* helices and a reversible chevron-like layer buckling. An enhancement of the optical rotatory power by up to one order of magnitude of the confined compared to the bulk liquid crystal is traced to the pretransitional formation of helical structures at the smectic-A*-to-smectic-C* transformation. A linear electro-optical birefringence effect evidences collective fluctuations in the molecular tilt vector direction along the confined helical superstructures, <em>i.e.</em> the Goldstone phason excitations typical of the para-to-ferroelectric transition. Their relaxation frequencies increase with the square of the inverse pore radii as characteristic of plane-wave excitations and are two orders of magnitude larger than in the bulk, evidencing an exceptionally fast electro-optical functionality of the liquid-crystalline-AAO nanohybrids.</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.