RADDet is a radar dataset that contains radar data in the form of Range-Azimuth-Doppler tensors along with the bounding boxes on the tensor for dynamic road users, category labels, and 2D bounding boxes on the Cartesian Bird-Eye-View range map. It is used to train and evaluate methods for object detection using automotive radars.

RadarScenes is a real-world radar point cloud dataset for automotive applications.

It consists of measurements and point-wise annotations from more than four hours of driving collected by four series radar sensors mounted on one test vehicle. Individual detections of dynamic objects were manually grouped to clusters and labeled afterwards. The purpose of this data set is to enable the development of novel (machine learning-based) radar perception algorithms with the focus on moving road users. Images of the recorded sequences were captured using a documentary camera.

The raw dataset is simulated by 24Ghz FMCW radar, containing 11 daily human activities. Standing in a fixed position while rotating his body (B); kicking (K), punching (P), grabbing an object (G), walking back and forth in front of the radar (W), standing up from chair (SU), sitting down on chair (SD), stands up from chair to walk (STW), walks to sit on chair (WTS), walks to fall on the ground (WTF), standing up from ground to walk (FTW).

transmitters

KAIST-Radar (K-Radar) is a novel large-scale object detection dataset and benchmark that contains 35K frames of 4D Radar tensor (4DRT) data with power measurements along the Doppler, range, azimuth, and elevation dimensions, together with carefully annotated 3D bounding box labels of objects on the roads. K-Radar includes challenging driving conditions such as adverse weathers (fog, rain, and snow) on various road structures (urban, suburban roads, alleyways, and highways). In addition to the 4DRT, we provide auxiliary measurements from carefully calibrated high-resolution Lidars, surround stereo cameras, and RTK-GPS.

This dataset contains the weather radar (WXR) data collected during the High Ice Water Content (HIWC) Radar Study project, onboard the NASA DC-8 aircraft, that took place in Fort Lauderdale, Florida; Palmdale, California; and Kona, Hawaii. The radar measurements contained in this dataset have been processed to remove the instrument properties from the airborne radar data and thereby produce scientific measures of the atmosphere and the HIWC conditions. There are 3 different file types (RadProd, bitmap, and KMZ) containing radar measurements with each file type containing all of the flights in one zip file.

The up-to-date weather radar from the FMI radar network is available as Open Data. The data contain both single radar data along with composites over Finland in GeoTIFF and HDF5-formats. Available composite parameters consist of radar reflectivity (DBZ), rainfall intensity (RR), and precipitation accumulation of 1, 12, and 24 hours. Single radar parameters consist of radar reflectivity (DBZ), radial velocity (VRAD), rain classification (HCLASS), and Cloud top height (ETOP 20). Raw volume data from singe radars are also provided in HDF5 format with ODIM 2.3 conventions. Radar data becomes available as soon as it's received from the radar and pre-processed into deliverable formats. Typically the most recent radar data was collected less than 5 minutes ago.

This dataset consists of Level II weather radar data collected from Next-Generation Radar (NEXRAD) stations located in the contiguous United States, Alaska, Hawaii, U.S. territories and at military base sites. NEXRAD is a network of 160 high-resolution Doppler weather radars operated by the NOAA National Weather Service (NWS), the Federal Aviation Administration (FAA), and the U.S. Air Force (USAF). Doppler radars detect atmospheric precipitation and winds, which allow scientists to track and anticipate weather events, such as rain, ice pellets, snow, hail, and tornadoes, as well as some non-weather objects like birds and insects. NEXRAD stations use the Weather Surveillance Radar - 1988, Doppler (WSR-88D) system. This is a 10 cm wavelength (S-Band) radar that operates at a frequency between 2,700 and 3,000 MHz. The radar system operates in two basic modes: a slow-scanning Clear Air Mode (Mode B) for analyzing air movements when there is little or no precipitation activity in the area, and a Precipitation Mode (Mode A) with a faster scan for tracking active weather. The two modes employ nine Volume Coverage Patterns (VCPs) to adequately sample the atmosphere based on weather conditions. A VCP is a series of 360 degree sweeps of the antenna at pre-determined elevation angles and pulse repetition frequencies completed in a specified period of time. The radar scan times 4.5, 5, 6 or 10 minutes depending on the selected VCP. The NEXRAD products are divided into multiple data processing levels. The lower Level II data contain the three meteorological base data quantities at original resolution: reflectivity, mean radial velocity, and spectrum width. With the advent of dual polarization beginning in 2011, additional base products of differential reflectivity, correlation coefficient and differential phase are available. Level II data are recorded at all NWS and most USAF and FAA WSR-88D sites. From the Level II quantities, computer processing generates numerous meteorological analysis Level 3 products. NEXRAD data are acquired by the NOAA National Centers for Environmental Information (NCEI) for archiving and dissemination to users. Data coverage varies by station and ranges from June 1991 to 1 day from present. Most stations began observing in the mid-1990s, and most period of records are continuous.

This dataset consists of Level III weather radar products collected from Next-Generation Radar (NEXRAD) stations located in the contiguous United States, Alaska, Hawaii, U.S. territories and at military base sites. NEXRAD is a network of 160 high-resolution Doppler weather radars operated by the NOAA National Weather Service (NWS), the Federal Aviation Administration (FAA), and the U.S. Air Force (USAF). Doppler radars detect atmospheric precipitation and winds, which allow scientists to track and anticipate weather events, such as rain, ice pellets, snow, hail, and tornadoes, as well as some non-weather objects like birds and insects. NEXRAD stations use the Weather Surveillance Radar - 1988, Doppler (WSR-88D) system. This is a 10 cm wavelength (S-Band) radar that operates at a frequency between 2,700 and 3,000 MHz. The radar system operates in two basic modes: a slow-scanning Clear Air Mode (Mode B) for analyzing air movements when there is little or no precipitation activity in the area, and a Precipitation Mode (Mode A) with a faster scan for tracking active weather. The two modes employ nine Volume Coverage Patterns (VCPs) to adequately sample the atmosphere based on weather conditions. A VCP is a series of 360 degree sweeps of the antenna at pre-determined elevation angles and pulse repetition frequencies completed in a specified period of time. The radar scan times 4.5, 5, 6 or 10 minutes depending on the selected VCP. During 2008, the WSR-88D radars were upgraded to produce increased spatial resolution data, called Super Resolution. The earlier Legacy Resolution data provides radar reflectivity at 1.0 degree azimuthal by 1 km range gate resolution to a range of 460 km, and Doppler velocity and spectrum width at 1.0 degree azimuthal by 250 m range gate resolution to a range of 230 km. The upgraded Super Resolution data provides radar reflectivity at 0.5 degree azimuthal by 250 m range gate resolution to a range of 460 km, and Doppler velocity and spectrum width at 0.5 degree azimuthal by 250 m range gate resolution to a range of 300 km. Super resolution makes a compromise of slightly decreased noise reduction for a large gain in resolution. In 2010, the deployment of the Dual Polarization (Dual Pol) capability to NEXRAD sites began with the first operational Dual Pol radar in May 2011. Dual Pol radar capability adds vertical polarization to the previous horizontal radar waves, in order to more accurately discern the return signal. This allows the radar to better distinguish between types of precipitation (e.g., rain, hail and snow), improves rainfall estimates, improves data retrieval in mountainous terrain, and aids in removal of non-weather artifacts. The NEXRAD products are divided in two data processing levels. The lower Level II data are base products at original resolution. Level II data are recorded at all NWS and most USAF and FAA WSR-88D sites. From the Level II quantities, computer processing generates numerous meteorological analysis Level III products. The Level III data consists of reduced resolution, low-bandwidth, base products as well as many derived, post-processed products. Level III products are recorded at most U.S. sites, though non-US sites do not have Level III products. There are over 40 Level III products available from the NCDC. General products for Level III include the base and composite reflectivity, storm relative velocity, vertical integrated liquid, echo tops and VAD wind profile. Precipitation products for Level III include estimated ground accumulated rainfall amounts for one and three hour periods, storm totals, and digital arrays. Estimates are based on reflectivity to rainfall rate (Z-R) relationships. Overlay products for Level III are alphanumeric data that give detailed information on certain parameters for an identified storm cell. These include storm structure, hail index, mesocyclone identification, tornadic vortex signature, and storm tracking information. Radar messages for Level III are sent by the radar site to users in order to know more about the radar status and special product data. NEXRAD data are provided to the NOAA National Climatic Data Center for archiving and dissemination to users. Data coverage varies by station and ranges from May 1992 to 1 day from present. Most stations began observing in the mid-1990s, and most period of records are continuous.

The data is collected using millimeter-wave radar IWR1642 in receiver-only configuration (passive mode) for four cases namely, single AWR1642 as an ECM jammer, and single AWR2944 as an ECM jammer, two AWR1642 as jammers, and three AWR devices as jammers at shorter distances. The data is useful for estimating the angle of arrival in single and multi-jammer scenarios.

The radar network consists of 31 weather radars spanning Canada's most populated regions, providing coverage to over 95% of the population. The network's primary purpose is the early detection of developing thunderstorms and high impact weather.

This dataset contains the weather radar (WXR) data collected during the High Altitude Ice Crystals - High Ice Water Content (HAIC-HIWC) project that took place in Cayenne, French Guiana. Some of the data files provide 4D tracks of the aircraft that can be played within Google Earth. The other data files contain the radar data. The data files are arranged by flight and are in zip, kml, and kmz format.

The main radar covering the Toronto Area is the King City Doppler Dual-Polarization C-Band radar (43.96388, -79.57416). Other nearby radars include the Exeter Doppler C-Band radar (43.37027,-81.38416) and the Buffalo Doppler Dual-Polarization S-Band radar (42.94889,-78.73667) from the United States. Though the primary radar for the project is the King City radar, the raw data from all three radars are included in their native format (IRIS or Nexrad Level 2) and are intended for radar specialists. The data is available from May 1 2015 to Sept 30 2015. The scan strategy for each radar is different, with at least 10 minute scan cycles or better. The user should consult with a radar specialist for more details. Reflectivity and radial velocity images (presented as a pair) for the lowest elevation angle (0.5o) centred on a 128 km x 128 km box around from the King City radar are provided for general use. Besides their normal use as precipitation observations, they are particularly useful to identify Lake Breezes as weak linear reflectivity and as radial velocity discontinuity features for the entire period. The target providing the radar returns are insects. Analysis indicates the presence of Lake Breezes on 118 days, only 35 days did not have any kind of lake breeze-like features. Daily movies have been created. The format of the single images is PNG and the movies is an animated GIF. The data is organized by radar and by day in the following structure. The raw data is organized in the following directory structure: RADAR ->

This dataset contains the weather radar (WXR) data collected during the High Altitude Ice Crystals - High Ice Water Content (HAIC-HIWC) project that took place in Darwin, Australia. Some of the data files provide 4D tracks of the aircraft that can be played within Google Earth. The other data files contain the radar data. The data files are arranged by flight and are in zip, kml, and kmz format.

Side-Looking Airborne Radar (SLAR) imagery is available from the U.S. Geological Survey (USGS) for selected project areas in the conterminous United States and Alaska. Data are X-band synthetic aperture radar (horizontally transmitted, horizontally received) with the exception of some test sites. Coverage was contracted on a yearly basis. The USGS SLAR images most often consist of contact strip images and 1:250,000-scale, map-controlled mosaics. Greater than half of the available SLAR image strips are distributed on 8-mm cassettes, while some image strips are distributed on CD-ROM. In addition, ancillary products such as indexes (on paper, film, or microfiche) and custom photographic products may also be available. Due to the geographically non-searchable nature of the SLAR inventory, customer assistance may be obtained to determine availability of SLAR data over the user's area of interest. Customer knowledge of USGS 1:250,000-scale map names is beneficial in expediting orders. A scale of 1:50,000 only applies to Alaska coverage.

This child item contains Doppler radar velocimetry spectra measurements for each field site where the radars were deployed.
Each Field Site is abbreviated in various files in this data release. File and folder names quickly identify which site a particular file or dataset represents. The following abbreviations are used:

• ACS: Anthracite Creek at Somerset, Colorado, USA
• BRA: Blue River below Dillon, Colorado, USA (collected in August 2023)
• BRJ: Blue River below Dillon, Colorado, USA (collected in June 2023)
• CRG: Colorado River below Glenwood Springs, Colorado, USA
• CRR: Colorado River above Roaring Fork River at Glenwood Springs, Colorado, USA
• ERW: Eagle River below Milk Creek near Wolcott, Colorado, USA
• MCA: Maroon Creek near Aspen, Colorado, USA
• RFG: Roaring Fork at Glenwood Springs, Colorado, USA

The ER-2 X-band Radar (EXRAD) IMPACTS dataset consists of radar reflectivity and Doppler velocity estimates collected by the EXRAD onboard the NASA ER-2 high-altitude research aircraft. These data were gathered during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The EXRAD IMPACTS dataset files are available from January 25, 2020, through March 2, 2023, in HDF-5 format.

Radar sensors have a long tradition in advanced driver assistance systems (ADAS) and also play a major role in current concepts for autonomous vehicles. Their importance is reasoned by their high robustness against meteorological effects, such as rain, snow, or fog, and the radar’s ability to measure relative radial velocity differences via the Doppler effect. The cause for these advantages, namely the large wavelength, is also one of the drawbacks of radar sensors. Compared to camera or lidar sensor, a lot more surfaces in a typical traffic scenario appear flat relative to the radar’s emitted signal. This results in multi-path reflections or so called ghost detections in the radar signal. Ghost objects pose a major source for potential false positive detections in a vehicle’s perception pipeline. Therefore, it is important to be able to segregate multi-path reflections from direct ones.

Here we present a dataset with detailed manual annotations for different kinds of ghost detections. We hope that our dataset encourages more researchers to engage in the fields of multi-path object suppression or exploitation.

Paper: https://ieeexplore.ieee.org/document/9636338 (10.1109/IROS51168.2021.9636338)

Accompanying github repository: https://github.com/flkraus/ghosts

Documentation and further information can be found on the github repo.

The CAMEX-4 Mobile X-Band Polarimetric Weather Radar dataset was collected by the Mobile X-band Polarimetric Weather Radar on Wheels (X-POW), which is a Doppler scanning radar operating at 9.3 GHz with horizontal and vertical polarization. The X-POW was used for detection and detailing of surface rainfall rate and precipitation classification fields, as well as for 3D precipitation microphysical retrievals including water/frozen hydrometeor contents and drop size distribution profiles. The X-POW was located in the Florida Keys during the CAMEX-4 field experiment.

High-fidelity