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658 results for “doppler”
Data from: Plane wave Doppler determination of blood flow in retinopathy of prematurity
<p>Retinopathy of prematurity (ROP) is a disorder affecting low birthweight, preterm neonates. In the preterm eye, the retina is not fully developed and neovascularization may occur at the margin between the developed vascular retina and undeveloped avascular retina. Without timely treatment by laser or intravitreal anti-vascular endothelial growth factor (VEGF) therapy, this can lead to tractional retinal detachment and blindness. Visualization of the retina in regular examinations by indirect ophthalmoscopy is hence the current standard of care, but the exams are stressful and interpretation of images is subjective.</p> <p>The upregulation of VEGF in ROP would suggest an increase in ocular blood flow. In this report, we evaluate the potential of ultrafast plane-wave Doppler ultrasound (PWU) to detect increased flow velocities in the orbital vessels supplying the eye in a gentle exam with objective findings.</p> <p>We imaged both eyes of 50 low-birthweight preterm neonates using 18 MHz PWU. Flow velocity in the central retinal artery (CRA) and vein (CRV), and the short posterior ciliary arteries were determined and values at each ROP Stage compared.</p> <p>We found significantly increased velocities in the CRA and CRV in Stage 3 ROP eyes, where intervention would be considered. We compared multivariate models for identifying Stage 3 eyes comprised solely of clinical factors, solely of Doppler parameters, and clinical plus Doppler parameters. The respective models provided areas under their respective ROC curves of 0.760, 0.812, and 0.904. </p> <p>PWU Doppler represents a gentle, objective means for identifying neonates at risk for ROP that could complement ophthalmoscopy.</p>
Water stages in a tidal marsh measured using images, visually and automatically, along with stages measured using pressure transducer and Doppler sensors
<p>This data was acquired to evaluate the performance of an image based system to measure water stages in streams and rivers.</p> <p>It contains measurements performed visually and stored (NR_Visual_Data_120201_120724.csv)</p> <p>It contains the measurements performed automatically by the system studied corresponding to those done visually (NR_Gaugecam_Data_120201_120724.csv)</p> <p>It contains the measurements done automatically (GC) and those measured by ISCO, HOBO, and Sontek instruments (NR-GC-vs-ISCO.csv)</p>
Cross-contamination effect on turbulence spectra from Doppler beam swinging wind lidar (data and code)
<p>The archive contains supplemental material for the article "Cross-contamination effect on turbulence spectra from Doppler beam swinging wind lidar" by Kelberlau and Mann:</p> <p>- Windcube RAW and 10-min averaged data</p> <p>- Ultrasonic anemometer data from the meteorological mast in Høvsøre</p> <p>- Monin-Obukhov length data</p> <p>- windsimu input files, a windsimu executable for unix systems to create turbulence boxes and a windsimu manual</p> <p>- Matlab scripts for data processing and visualization</p>
Simulation Code for Plotting the Range-Doppler Map
<p>This file contains simulation code for plotting a Range-Doppler map. Key parameters have been left blank and should be populated with your specific data before running the code. Ensure all required fields are correctly set to generate accurate simulation results.</p>
Spectrograms 2018-2020 of multi-position facility for HF Doppler sounding
<p>This dataset contains the processed data used for the publication: MULTI-POSITION FACILITY FOR HF DOPPLER SOUNDING OF IONOSPHERIC INHOMOGENEITIES IN UKRAINE. The dataset contains the spectrograms of received signals of multi-positional Doppler sounding system for 2018-2020 years. HF signal was registered by three stations: Low Frequency Obserwatory (LFO), receiver in the southwestern part of Kharkiv (SWK), S.Y. Braude Radio Astronomical Observatory (RAO). Spectrograms plotted for 24 and 3-hour intervals.</p>
Data for "Evaluating vertical velocity retrievals from vertical vorticity equation constrained dual-Doppler analysis of real, rapid-scan radar data"
<p>This archive contains data from the Rapid Scanning X-Band Polarimetric (RaXPol) radar, Atmospheric Imaging Radar (AIR), and Shared Mobile Atmospheric Research and Teaching radar (SMART-R) for 4 September 2018 in central Oklahoma. This is a rapid-scan dual-Doppler dataset of a convective storm. RaXPol and AIR were the two radars that can be used for dual-Doppler retrievals and the SMART-R data can be used for verification of vertical velocity.</p> <p>The AIR and RaXPol data have been quality controlled and are provided in cfRadial format. The SMART-R data has not been quality controlled and are available in its raw data format. All data can be read using the Python ARM Radar Toolkit.</p> <p>This dataset was used for the manuscript:</p> <p>Gebauer, J. G., A. Shapiro, C. K. Potvin, N. A. Dahl, M. I. Biggerstaff, and A. A. Alford, 2021: Evaluating vertical velocity retrievals from vertical vorticity equation constrained dual-Doppler analysis of rapid-scan radar data. <em>J. Atmos. Meas. Tech., </em>in review.</p>
Doppler-Shifted Alkali D Line Absorption as Indirect Evidence for Exomoons---Enclosed datasets
<p>This repository holds datasets appearing in the manuscript "Doppler-Shifted Alkali D Line Absorption as Indirect Evidence for Exomoons" Submitted to the Research Topic: Exomoons and Exorings: the Next Frontier in Exoplanets of the journal <a href="https://www.frontiersin.org/journals/astronomy-and-space-sciences">Frontiers in Astronomy and Space Sciences</a>. Contains WIYN Hydra data of HD 80606 and HD80607 and Keck I HIRES data of Io's neutral clouds. </p>
Corresponding Dataset for Precision of Spacecraft Doppler Tracking at Low Signal-to-Noise Ratios
<p><br> Corresponding Dataset for Precision of Spacecraft <br> Doppler Tracking at Low Signal-to-Noise Ratios<br> README FILE<br> Dustin Buccino<br> January 1, 2023<br> Jet Propulsion Laboratory<br> California Institute of Technology</p> <p>=============================================================================<br> INTRODUCTION<br> =============================================================================</p> <p> This dataset contains open-loop data collected by the Planetary Radar<br> and Radio Science Group at the Jet Propulsion Laboratory from the Low-SNR<br> Ground System Demonstration with DSS-25 in May 2020. Futhermore, it<br> also provides the necessary data behind the figures in the corresponding<br> publication. This dataset is provided in order to supplement the submitted<br> article to the "Radio Science" journal</p> <p> Buccino, D.R., et al (2023), Precision of Spacecraft Doppler Tracking <br> at Low Signal-to-Noise Ratios, Radio Science, submitted<br> January 2023.</p> <p>=============================================================================<br> ARCHIVE INFORMATION<br> =============================================================================</p> <p> This archive contains several data types, located within subdirectories.<br> <br> ROOT<br> `- 159TEST2022133_1845X25X25RO.A02_XATnn_nndBHz<br> <br> These files are the open-loop data collected at the DSN <br> during the test. There are six files, one for each SNR level. The<br> files are in the DSN-standard 0159-Science format (binary data).<br> To decode these files, one should utilize the software <br> interface specification documents from the Planetary Data System<br> radio science documentation bundle:</p> <p> https://pds-geosciences.wustl.edu/<br> radiosciencedocs/urn-nasa-pds-radiosci_documentation/<br> <br> `- figures.zip<br> <br> This directory contains all data necessary to reproduce the figures<br> in the publication. Data include Doppler residuals, SNR measurement,<br> Allan deviation and associated parameters. Each file in this <br> directory is plain-text.</p> <p>=============================================================================<br> ACKNOWLEDGMENTS<br> =============================================================================</p> <p>This work was carried out at the Jet Propulsion Laboratory, <br> California Institute of Technology, under contract with the National <br> Aeronautics and Space Administration. Government sponsorship acknowledged.</p> <p>=============================================================================<br> PRIMARY POINT OF CONTACT<br> =============================================================================</p> <p>Dustin Buccino<br> Jet Propulsion Laboratory<br> Planetary Radar and Radio Sciences<br> (818) 393 - 1072<br> Dustin.R.Buccino@jpl.nasa.gov</p> <p>=============================================================================<br> ACRONYMS AND ABBREVIATIONS<br> =============================================================================</p> <p> ASCII American Standard Code for Information Interchange<br> DOY Day of year<br> DSN Deep Space Network<br> JPL Jet Propulsion Laboratory<br> NAIF Navigation Ancillary Information Facility<br> NASA National Aeronautics and Space Administration<br> PDS Planetary Data System<br> RS Radio Science<br> RSS Radio Science Subsystem<br> SIS Software Interface Specification<br> TXT Text file<br> UTC Universal Time, Coordinated<br> </p>
UNR Doppler lidar data
<p>University of Nevada, Reno Doppler lidar data files during Langdon Mountain Prescribed Fire on November 7th 2019</p>
Accuracy of physical examination versus Doppler ultrasonography for determining maturity in postoperative arteriovenous fistula formation
<p>A physical examination was performed by a single vascular surgeon on patients with chronic kidney disease undergoing AVF placement, and a radiologist performed Doppler ultrasonography during the second and sixth postoperative weeks. AVF maturation was determined by dialysis nurses who were asked to perform cannulation. For a fistula to be considered mature, at least six consecutive successful cannulations with a blood flow rate of at least 300 mL/min were required. The accuracy of physical examination and Doppler ultrasonography was compared. The model was developed to predict the success of AVF use.</p>
Comparison of the Ankle-Brachial Index Measurement Using a Specific Oscillometric Device vs. the Doppler Method
ClinicalTrials.gov study NCT03511612. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Laser Speckle Flowgraphy in Caucasians: Age Dependence and Comparison With Doppler Optical Coherence Tomography
ClinicalTrials.gov study NCT02582411. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Study of Liposomal Doxorubicin in Women With Breast Cancer Exploiting Tissue Doppler Imaging
ClinicalTrials.gov study NCT00531973. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Superior Cervical Ganglion Block, Transcranial Doppler
ClinicalTrials.gov study NCT04439760. IPD Sharing: Not stated. Countries: 1. Publications: 6.
LAVA TQ Doppler Functionality Study
ClinicalTrials.gov study NCT05504733. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Measurement of Heart-carotid Pulse Wave Velocity (hcPWV) by Laser Doppler Vibrometry (LDV)
ClinicalTrials.gov study NCT05711693. IPD Sharing: NO. Countries: 1. Publications: 1.
Evaluation of the Interest of Ultra-high Frequency Doppler Ultrasound (UFDU) in the Surgical Management of Patients Operated in an Awake Condition for a Cerebral Tumor
ClinicalTrials.gov study NCT03179176. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Correlating Clinical Disease State With Color Doppler Ultrasound
ClinicalTrials.gov study NCT00761943. IPD Sharing: Not stated. Countries: 1. Publications: 11.
Transcranial Doppler on Admission of Patients With Mild to Moderate Traumatic Brain Injury
ClinicalTrials.gov study NCT01291706. IPD Sharing: Not stated. Countries: 1. Publications: 10.
Doppler Ultrasound Investigation of Microcirculations
ClinicalTrials.gov study NCT01045005. IPD Sharing: Not stated. Countries: 1. Publications: 6.
ScienceDex guides
Understand access before you commit
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.