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36
datasets available to search
ShareScore release 0.9.0
Dataset results
36 results for “Optical Networks”
Acute Optic Neuritis Network: an International Study That Invesitages Subjects With a First-ever Episode of Acute Inflammation of the Optic Nerve
ClinicalTrials.gov study NCT05605951. IPD Sharing: NO. Countries: 17. Publications: 1.
Trained tesseract networks for low-resolution optical character recognition
<p>Tesseract eng.traineddata files for low-resolution optical character recognition (English).</p>
Simulation and experimental data of frequency domain and time domain optical signal measurements for optical network digital twins
<p>The dataset contains IQ optical constellation samples for 16-QAM optical connections. Data have been generated both experimentally and through simulations with a MATLAB-based simulator. Different configurations have been simulated: 62 lightpaths having a different number of spans and links and 4 soft-failures affecting a lightpath with increasing failure magnitude.</p>
dataset where a Convolutional Neural Network controls a part of the TEM optics and OAM sorter
<p>Here are uploaded the data collected when we succesfully connected a Convolutional Neural Network to the Holo-TEM in Julich. In particular the CNN controls a part of the TEM optics (beam shift x and y, C3 intensity) and the OAM sorter (the Sorter1 and Sorter 2 bias, in particular it is able to change the S1 bias to perfectly match the phase profile generated from the second sorting element).</p>
Data for "A quantum-network register assembled with optical tweezers in an optical cavity"
Open the record for dataset details and reuse information.
Analysis of gene network branching during optic cup morphogenesis in zebrafish
GEO Series GSE150189. Danio rerio. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Analysis of gene network branching during optic cup morphogenesis in zebrafish (RNA-Seq)
GEO Series GSE150346. Danio rerio. 15 samples. Type: Expression profiling by high throughput sequencing.
Reference Packet Optical Network Topology for Edge to Core Transport
<p>In this paper, we present a reference multi-layer hierarchical network topology that spans from access to core networks, specifically designed to meet the demands of next-generation 6G communication systems. This topology, inspired by the actual network deployments of Telefónica in medium-sized countries in Europe and America, integrates both IP and optical (DWDM) layers to provide a comprehensive framework for network design, optimization, and analysis. Our primary contribution is the development of an open-source benchmarking network, accessible to both researchers and industry professionals. This resource aims to facilitate the study and advancement of integrated IP and optical networks, addressing key challenges such as traffic aggregation, latency reduction, cost efficiency, and support for advanced<br>applications. We provide guidelines for utilizing this benchmark network, enabling users to evaluate and enhance their solutions for AI-driven network management, ultra-reliable low-latency communication, enhanced mobile broadband, and massive machine-type communication. By sharing this detailed and practical benchmarking network, we seek to foster innovation and collaboration within the optical network community, driving forward the capabilities and performance of future communication networks.</p>
Genome-wide analysis of gene regulatory networks in chickens reveals dynamic temporal changes in retinal signaling cascade underlying compensation to lens-imposed optical defocus [3d]
GEO Series GSE203585. Gallus gallus. 14 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide analysis of retinal transcriptome reveals common genetic network underlying perception of contrast and optical defocus detection
GEO Series GSE158732. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide analysis of gene regulatory networks in chickens reveals dynamic temporal changes in retinal signaling cascade underlying compensation to lens-imposed optical defocus [control]
GEO Series GSE203619. Gallus gallus. 21 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide analysis of gene regulatory networks in chickens reveals dynamic temporal changes in retinal signaling cascade underlying compensation to lens-imposed optical defocus [lens induced]
GEO Series GSE203629. Gallus gallus. 21 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide analysis of gene regulatory networks in chickens reveals dynamic temporal changes in retinal signaling cascade underlying compensation to lens-imposed optical defocus [1d]
GEO Series GSE203555. Gallus gallus. 14 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide analysis of gene regulatory networks in chickens reveals dynamic temporal changes in retinal signaling cascade underlying compensation to lens-imposed optical defocus [6d]
GEO Series GSE203604. Gallus gallus. 14 samples. Type: Expression profiling by high throughput sequencing.
Data set for "Stability limitations of optical frequency transfer in telecommunication DWDM networks"
<p>Here we share the relevant data of the manuscript “Stability limitations of optical frequency transfer in telecommunication DWDM networks”.</p> <p>The files:</p> <ul> <li>“fig_2a_total.txt”</li> <li>“fig_2a_diff.txt”</li> </ul> <p>contains respectively the timeseries data of phase fluctuations of total delay and differential delay between two fibers in 50 km-long soil-deployed cable. Same results for 110 km-long aerial cable are in files:</p> <ul> <li>“fig_2b_total.txt”</li> <li>“fig_2b_diff.txt”</li> </ul> <p>The files:</p> <ul> <li>“fig_3_aerial_MDEV_points.txt”</li> <li>“fig_3_soil_MDEV_points.txt”</li> </ul> <p>contains respectively points of modify Allan deviation of the differential delay fluctuations in 110 km-long aerial and 70 km-long soil-deployed cable. For short averaging the stability is limited by the noise of time interval counter (MTC 108). Before MDEV calculations the differential delay fluctuations was divided by factor of two, as a half of these fluctuations is present at the output of a stabilized system.</p> <p>The files:</p> <ul> <li>“fig_4_soil_MDEV_points_CW-total.txt”</li> <li>“fig_4_soil_MDEV_points_CW-diff.txt”</li> </ul> <p>contains respectively points of modify Allan deviation of the total and differential delay fluctuations in 70km soil-deployed cable, measured with the unmodulated coherent optical carrier.</p> <p>The files:</p> <ul> <li>“fig_7a_EDFA_phase.txt” and “fig_7a_EDFA_temp.txt”</li> <li>“fig_7b_Raman_phase.txt” and “fig_7b_Raman_temp.txt”</li> <li>“fig_7c_ROADM_phase.txt” and “fig_7c_ROADM_temp.txt”</li> </ul> <p>contains the timeseries data of simultaneous measurement of phase and temperature changes in individual cards (modules) of the DWDM system: EDFA amplifier, card containing the Raman module, as well as ROADM (Reconfigurable Optical Add Drop Multiplexer) module.</p> <p>Time series data of the fluctuations of the total and differential propagation delay of the signal transfer in the unmodified DWDM system (over 1500 km long route) include files:</p> <ul> <li>“fig_9_total_phase_fluct_part1”, “fig_9_total_phase_fluct_part2”, “fig_9_total_phase_fluct_part1” </li> <li>“fig_9_diff_phase_fluct_part1”, “fig_9_diff_phase_fluct_part2”, “fig_9_diff_phase_fluct_part3”</li> </ul> <p>The files:</p> <ul> <li>“fig_10_mdev_acusticNOISE.txt”</li> <li>“fig_10_mdev_air-conditioning_ON.txt”</li> <li>“fig_10_mdev_air-conditioning_MODIFIED.txt”</li> </ul> <p>contains points of modify Allan deviation that shows respectively: the influence of acoustic noise, stability of the frequency transfer in DWDM network in the case of sub-optimal (asymmetric) cooling within a single ILA node, while the last file shows the stability of the transfer after optimizing the airflow within this node.</p> <ul> </ul>
Genome-wide analysis of gene regulatory networks in chickens reveals dynamic temporal changes in retinal signaling cascade underlying compensation to lens-imposed optical defocus
GEO Series GSE203630. Gallus gallus. 84 samples. Type: Expression profiling by high throughput sequencing.
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.