Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
18
datasets available to search
ShareScore release 0.9.0
Dataset results
18 results for “microwave imaging”
Resolution Enhancement of UWB Time-Reversal Microwave Imaging in Dispersive Environments (dataset)
<p>These files are the simulation data used to create the figures illustrated in the journal paper with the same title which has been accepted for publication as a regular paper in IEEE Transactions on Computational Imaging. Each filename indicates the figure number associated with the file. These files are text files. The column structure of each file is described in the README file.</p>
University of Manitoba Breast Microwave Imaging Dataset (UM-BMID)
<p><strong>ABSTRACT </strong></p> <p>Microwave-based breast cancer detection is a growing field that has been investigated as a potential novel method for breast cancer detection. Breast microwave sensing (BMS) systems use low-powered, non-ionizing microwave signals to interrogate the breast tissues. While some BMS systems have been evaluated in clinical trials, many challenges remain before these systems can be used as a viable clinical option, and breast phantoms (breast models) allow for rigorous and controlled experimental investigations. This dataset, the University of Manitoba Breast Microwave Imaging Dataset (UM-BMID), contains S-parameter measurements from experimental scans of MRI-derived breast phantoms, obtained with a pre-clinical breast microwave sensing system operating over 1-8 GHz. The dataset consists of measurements from over 1250 scans of a diverse array of phantoms. The phantom array consists of phantoms of various sizes and breast densities. The .stl files used to produce the 3D-printed phantoms are also included in the dataset. We hope that this dataset can serve as a resource for researchers in breast microwave sensing to evaluate signal processing, image reconstruction, and tumour detection methods.</p> <p><strong>Inspiration:</strong></p> <p>This dataset uploaded to U-BRITE for "AI against CANCER DATA SCIENCE HACKATHON"</p> <p>https://cancer.ubrite.org/hackathon-2021/</p> <p><strong>Acknowledgements</strong></p> <p>Tyson Reimer, Jordan Krenkevich, Stephen Pistorius, June 16, 2021, "University of Manitoba Breast Microwave Imaging Dataset (UM-BMID)", IEEE Dataport, doi: https://dx.doi.org/10.21227/1y0z-8t98.</p> <p>https://ieee-dataport.org/open-access/university-manitoba-breast-microwave-imaging-dataset-um-bmid</p> <p><strong>U-BRITE last update date:</strong> 07/21/2021</p>
Supporting Data for the paper titled"Diurnal Variation of Liquid Water Path Derived from Two Polar-Orbiting FengYun-3 Microwave Radiation Imagers"
<p>The dataset contains:</p> <p>a) 4 files with name indicating collocated satellite, sensor, latitude,longitude and brightness temperature; format</p> <p>b) annual mean liquid water path derived from FY-3B/C Level 1 data; satellite,sensor, region; format</p> <p>c) annual mean amplitude and phase</p> <p>d) four seasons (winter,spring,summer, and autumn) mean amplitude</p> <p>d) 24 files with name indicating sensor, lwp, region, local solar time hour, format</p> <p>All files can be read by using matlab language.</p> <p> </p> <p>The first author was supported by National Natural Science Foundation of China Grant 91337218, and the second author was supported by NOAA grant NA14NES4320003 (Cooperative Institute for Climate and Satellites-CICS) at the University of Maryland/ESSIC.</p> <p>Corresponding author: Xiaolei Zou,xzou1@umd.edu</p>
Microwave Imaging dataset
<p>The content of this dataset has arrays named:</p> <ul> <li>Es: scattering data</li> <li>inputs: orthogonality sampling method (OSM) reconstructions</li> <li>xhi: contrast function</li> <li>outputs: intermediate gradient of contrast function</li> </ul>
A Clinical Investigation to Evaluate Microwave Imaging Via MammoWave® in a Population-based Screening Program for Early Breast Cancer Detection
ClinicalTrials.gov study NCT06291896. IPD Sharing: Not stated. Countries: 5. Publications: 1.
Feasibility of Comparing Microwave Images and Mammograms in Patients Recalled for Follow-up Breast Imaging
ClinicalTrials.gov study NCT07273565. IPD Sharing: NO. Countries: 1. Publications: 4.
A new dataset of rain cell generated from observations of the Tropical Rainfall Measuring Mission (TRMM) precipitation radar and visible and infrared scanner and microwave imager
<p>This new dataset (M.TRMM-1B01-1B11-2A25-PMD-Rain) contains orbit-level data with 5 km spatial resolution and 0.25 km vertical resolution. It is produced by merging TRMM PR, VIRS and TMI measurements at PR pixel resolution combined with rain cell identification. The near-surface rain rate, profiles of rain rate and precipitation reflectivity factor, visible and infrared signals and microwave signals can be obtained in the dataset. The dataset provides new important data for in-depth research on the structural characteristics of rain cells and supports the study of precipitation mechanisms.</p>
Pilot Clinical Evaluation of a Microwave Imaging System for Breast Cancer Detection
ClinicalTrials.gov study NCT05757427. IPD Sharing: NO. Countries: 1. Publications: 0.
GHRSST Level 2P Global Subskin Sea Surface Temperature from TRMM Microwave Imager (TMI) onboard Tropical Rainfall Measurement Mission (TRMM) satellite
GDS2 Version -The Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) is a well calibrated passive microwave radiometer, similar to the Special Sensor Microwave Imager (SSM/I), that contains lower frequency channels required for sea surface temperature (SST) retrievals. The TRMM is part of the NASA's mission to planet Earth, and is a joint venture between NASA and the Japan Aerospace Exploration Agency (JAXA) to measure precipitation, water vapor, SST and wind in the global tropical regions and was launched in 27 November 1997 from the Tanegashima Space Center in Tanegashima, Japan. The TRMM satellite travels west to east in a 402 km altitude semi-equatorial precessing orbit that results in day-to-day changes in the observation time of any given earth location between 38S and 38N. Remote Sensing Systems has produced a Version-4 TMI ocean SST dataset for the Group for High Resolution Sea Surface Temperature (GHRSST) by applying an algorithm to the 10.7 GHz channel through a removal of surface roughness effects. In contrast to infrared SST observations, microwave retrievals can be measured through clouds, which are nearly transparent at 10.7 GHz. Microwave retrievals are also insensitive to water vapor and aerosols. The algorithm for retrieving SSTs from radiometer data is described in "AMSR Ocean Algorithm."
Microwave Imaging in NeuroTrauma
ClinicalTrials.gov study NCT05960279. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
TRMM MICROWAVE IMAGER (TMI) WENTZ OCEAN PRODUCTS V3
The TRMM Microwave Imager (TMI) Wentz Ocean Products dataset used the TRMM Microwave Imager (TMI), which is a 5-channel, dual-polarized, passive microwave radiometer. The TMI is used to measure several important meteorological parameters over sea surfaces, such as precipitation rate, wind speed, wapter vapor, and sea surface temperature. The TMI, a successor to the SSM/I, measures radiation at frequencies of 10.7, 19.4, 21.3, 37, 85.5 GHz. It orbits at an altitude of 218 miles, much lower than the SSM/I, thus providing better resolution.
GPM GROUND VALIDATION SPECIAL SENSOR MICROWAVE IMAGER/SOUNDER (SSMI/S) LPVEX V1
The GPM Ground Validation Special Sensor Microwave Imager/Sounder (SSMI/S) LPVEx dataset contains brightness temperature data processed from the NOAA CLASS QC temperature data records for the Light Precipitation Validation Experiment (LVPEX), part of the Global Precipitation Measurement project. The mission was to detect and characterize light rain and evaluate their estimates of rainfall intensity in high latitude, shallow freezing level environments.Only data with swaths within the area of interest are included. The temporal range of the data includes the LPVEx campaign period (September 1, 2010) and extends through the end of March 31, 2011.
TRMM Microwave Imager Precipitation Profile L3 1 month 0.5 degree x 0.5 degree V7 (TRMM_3A12) at GES DISC
The new equivalent for this dataset should be searched for as "GPM_3GPROFTRMMTMI_CLIM". This product contains global monthly means of surface precipitation rate, rain rate, convective surface precipitation rate and 28 vertical layers of hydrometeor contents (cloud liquid water, rain water, cloud ice liquid water, snow liquid water, graupel liquid water and latent heating) on 0.5 x 0.5 degree grids.
TRMM Combined Precipitation Radar and Microwave Imager Rainfall Profile L2 1.5 hours V7 (TRMM_2B31) at GES DISC
The TRMM combined algorithm (2B31) combines data from the TMI and PR to produce the best rain estimate for TRMM. This combined rainfall product is derived from vertical hydrometeor profiles using data from the PR radar and TMI. It also includes computed correlation-corrected, mass-weighted, mean drop diameter and its standard deviation, and latent heating data. Pre-Boost (before 7 August 2001): Temporal Resolution: 91.5 min/orbit ~ 16 orbits/day; Swath Width: 215 km; Horizontal Resolution: 4.3 km Post-Boost (after 24 August 2001): Temporal Resolution: 92.5 min/orbit ~ 16 orbits/day; Swath Width: 247 km; Horizontal Resolution: 5.0 km
TRMM Microwave Imager Calibrated Radiances L1B 1.5 hours V7 (TRMM_1B11) at GES DISC
This dataset contains TRMM Micrwave Imager (TMI) L1B calibrated radiances in terms of Brightness Temperatures. The TMI calibration algorithm (1B11) converts the radiometer counts to antenna temperatures by applying a linear relationship of the form Ta = c1 + c2 x count. The coefficients are provided by the instrument contractor. Antenna temperatures are corrected for cross-polarization and spill over to produce brightness temperatures (Tb), but no antenna beam pattern correction or sample to pixel averaging are performed. Temperatures are provided at 104 scan positions for the low frequency channels and 208 scan positions at 85 GHz. There are four samples per pixel (3 -dB beamwidth) at 10 GHz, two samples at 19, 22, and 37 GHz, and one sample per pixel for the 85 GHz. Data Flow Description Changes in horizontal resolution resulting from the TRMM boost that occurred on 24 August 2001: Pre-Boost (before 7 August 2001): Temporal Resolution: 91.5 min/orbit ~ 16 orbits/day; Swath Width: 760 km; Horizontal Resolution: 4.4 km Post-Boost (after 24 August 2001): Temporal Resolution: 92.5 min/orbit ~ 16 orbits/day; Swath Width: 878 km; Horizontal Resolution: 5.1 km
TRMM Microwave Imager Oceanic Rainfall L3 1 month 5 degree x 5 degree V7 (TRMM_3A11) at GES DISC
The new equivalent for this dataset should be searched for as "GPM_3GPROFTRMMTMI_CLIM". The TMI Gridded Oceanic Rainfall Product, also known as TMI Emission, consists of 5 degree by 5 degree monthly oceanic rainfall maps using TMI Level 1 data as input. Statistics of the monthly rainfall, including number of samples, standard deviation, goodness-of-fit (of the brightness temperature histogram to the lognormal rainfall distribution function) and rainfall probability are also included in the output for each grid box. TMI brightness temperature histograms at 1 degree intervals are generated based on the 19, 21 and 19-21 GHz combination channels obtained from the Level 1B (calibrated brightness temperature) TMI product. Monthly rainfall indices over the ocean are derived by statistically matching monthly histograms of brightness temperatures with model calculated rainfall Probability Distribution Functions (PDF) using the 19-21 GHz combination data. Retrieved monthly rainfall data must pass a quality test based on the quality of the PDF fit.
TRMM Microwave Imager Hydrometeor Profile L2 1.5 hours V7 (TRMM_2A12) at GES DISC
The new version of these data is in GPM-like format and can be found under the name GPM_2AGPROFTRMMTMI_CLIM. This dataset, 2A12, ”TMI Profiling”, generates surface rainfall and vertical hydrometeor profiles on a pixel by pixel basis from the TRMM Microwave Imager (TMI) brightness temperature data using the Goddard Profiling algorithm GPROF2010. Because the vertical information comes from a radiometer, it is not written out in independent vertical layers like the TRMM Precipitation Radar. Instead, the output is referenced to one of 100 typical structures for each hydrometeor or heating profile. These vertical structures are referenced as clusters in the output structure. Vertical hydrometeor profiles can be reconstructed to 28 layers by knowing the cluster number (i.e. shape) of the profile and a scale factor that is written for each pixel. This product contains hydrometeor profiles of cloud liquid water, precipitation water, cloud ice water, precipitation ice, rainfall type, and latent heating in 28 atmospheric layers. Changes in horizontal resolution resulting from the TRMM boost that occurred on 24 August 2001: Pre-Boost (before 7 August 2001): Temporal Resolution: 91.5 min/orbit ~ 16 orbits/day; Swath Width: 760 km; Horizontal Resolution: 4.4 km Post-Boost (after 24 August 2001): Temporal Resolution: 92.5 min/orbit ~ 16 orbits/day; Swath Width: 878 km; Horizontal Resolution: 5.1 km
Performance Assessment of a First Generation Breast Microwave Imaging System: Study of Breast Abnormalities Detection
ClinicalTrials.gov study NCT02566499. IPD Sharing: NO. Countries: 0. Publications: 0.
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.