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Dataset results
29 results for “X-band”
VORTEX-2 2009-2010 radar data from NOAA X-band dual Polarimetric radar (NOXP)
<p>This dataset provides level 2 radar data collected by NOAA X-band dual Polarimetric radar (NOXP) during <span>Verification of the Origins of Rotation in Tornadoes Experiment</span> (VORTEX-2) in 2009-2010.</p> <p>Archive file names have form YYYY.NOX.sweep.MMDD.tar.gz, where YYYY denotes year, MMDD denotes month and day. Extracting the archive with a unix command like</p> <p>tar zxf YYYY.NOX.sweep.MMDD.tar.gz</p> <p>produces a directory tree in the current working directory. Data files are in paths of form:</p> <p>YYYY/NOX/sweep/MMDD/NOXYYMMDDHHMMSS.RAW????/swp.YYYMMDDHHMMSS.NOXPRVP.d.dd.0_PPI_v1</p> <p>where YYYY denotes year, MMDD denotes month and day, NOXYYMMDDHHMMSS.RAW???? identifies the radar volume (cycle of antenna pointing angles), and swp.YYYMMDDHHMMSS.NOXPRVP.d.dd.0_PPI_v1 denotes a file with data for one sweep (cycle of antenna pointing angles with the same elevation (PPI) or azimuth (RHI)). YYY is number of years since 1900. d.dd is the sweep angle.</p> <p>The sweep files are DORADE format, documented at https://www.eol.ucar.edu/sites/default/files/files_live/private/files/field_project/EMEX/DoradeDoc.pdf . RadxConvert, which is part of lrose (https://ncar.github.io/lrose-core), can rewrite the files in other formats as needed by other software.</p>
BOKURAD X-band radar data of two severe storms in Vienna, Austria
<p>Polarimetric X-band weather radar data of two severe storms in Vienna, Austria occurring on 26 June 2020 and 21 July 2020. The multicell storm on 26 June 2020 produced large hail with reported hail sizes of up to 5 cm. The storm on 21 July passed Vienna as squall line and produced non-severe (< 2 cm) hail.</p> <p>HDF5 data conforms to the OPERA Data Information Model (ODIM) standard.</p>
Experimental Database of deterministic wave prediction built from synchronous measurements from an X-band pulse radar and met-ocean sensors deployed on the Floatgen floating wind turbine and its vicinity on SEM-REV test site.
<p>This dataset is a deliverable of the FLOATECH project, funded under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101007142.<br> The aim of this dataset is a result of the field experiments carried out at the Floatgen FOWT located at the SEM-REV test site.</p>
Data for "Multifractal comparison of reflectivity and polarimetric rainfall data from C- and X-band radars and respective hydrological responses of a complex catchment model"
<p>The data files arranged here correspond to the data used in the paper: “Multifractal comparison of reflectivity and polarimetric rainfall data from C- and X-band radars and respective hydrological responses of a complex catchment model”, submitted to <em>Water</em>.</p> <p>The data organized as follows:</p> <ul> <li>Data_type_20150912_time_steps.mat: the rainfall data for 3 different products of the X-band radar (FIR filter, a=200, b=1.6; FIR filter, a=150, b=1.3; simple filter, a=150, b=1.3) for the event of 12-13 September 2015, over an area of 64 km x 64 km.</li> <li>Data_type_Event_time_steps.mat: X-band radar data (FIR filter, a=150, b=1.3) for the events of 16 September 2015 and 5-6 October 2015, over an area of 64 km x 64 km.</li> <li>Sub-catchment_name_Data_type_Event.txt: the rainfall series for each of 26 sub-catchments of the model, for 3 different types of rainfall data (C-band, X-band and rain gauges) for the events of 12-13 September 2015, 16 September 2015 and 5-6 October 2015.</li> <li>X-band_Pixels_Event.txt: the rainfall series for all 6 X-band radar pixels corresponding to the 6 rain gauges for the 3 studied events (12-13 September 2015, 16 September 2015, and 5-6 October 2015).</li> <li>X-Band_Optim 20150916_Measurement_point_name.txt: flow simulated at each of the 4 measurement points with X-band data for the 16 September 2015 event, with the implementation of the tool mimicking the regulation optimization.</li> <li>Data_type_Event_Measurement_point_name.txt: flow simulated at each of the 4 measurement points with 3 different types of rainfall data (C-band, X-band and rain gauges) for the 3 studied events (12-13 September 2015, 16 September 2015, and 5-6 October 2015), without the implementation of the tool mimicking the regulation optimization.</li> </ul> <p>The original C-band radar data remains property of Météo-France and was provided to the authors for this research study, without any possibility of data disclosure.</p> <p>The details on how the rainfall series were generated over each sub-catchment could be found in the paper.</p> <p>The authors greatly acknowledge partial financial supports of the Chair “Hydrology for resilient cities” endowed by Veolia, and of the Department of Science and Technology of the Brazilian Army. The authors are thankful to M Bernard Urban (Météo-France) for providing access to the C-band radar data and documentation in the framework of the INTERREG NWE RainGain project.</p>
Recording of Europa Clipper X-band telemetry with the Allen Telescope Array shortly after launch
<p>This dataset contains an IQ recording of the X-band 8424.3 MHz telemetry signal from the Europa Clipper spacecraft done with the Allen Telescope Array starting 1 hour and 30 minutes after launch. Antenna 1a from the ATA was used in dual linear polarization (X and Y polarizations).</p> <p>The hardware configuration was as follows: the antenna was connected to RFCB LO d, which was tuned to a frequency of 8424.5 MHz and used an output IF of 512 MHz. A USRP N321 digitized both polarizations of each antenna. The USRP used an external 10 MHz reference and PPS coming from the observatory distribution system, and LO sharing was set up among the two channels. The IQ sample rate of the USRP was 6.144 Msps, and a GNU Radio flowgraph was used to record IQ data to disk. The GNU Radio flowgraph stored the IQ data for each channel as 16-bin integers in the <a href="https://wiki.gnuradio.org/index.php/Metadata_Information">GNU Radio metatata file format</a>, with detached headers.</p> <p>After recording, the data was downsampled to 96 ksps centered around 8424.3 MHz and formatted using <a href="https://github.com/gnuradio/SigMF">SigMF</a> with the script do_sigmf.py. This reduced bandwidth is sufficient to decode the low data rate (2 kbps) telemetry signal. In addition to this signal, there are sequential ranging tones throughout much of the recording, but they are outside the 96 kHz bandwidth contained in this dataset.</p>
Recording of Hera X-band telemetry with the Allen Telescope Array shortly after launch (part 1/2)
<p>This dataset contains an IQ recording of the X-band 8435.8 MHz telemetry signal from the Hera spacecraft done with the Allen Telescope Array starting 1 hour and 30 minutes after launch. Antenna 1a from the ATA was used in dual linear polarization (X and Y polarizations).</p> <p>The hardware configuration was as follows: the antenna was connected to RFCB LO d, which was tuned to a frequency of 8435 MHz for one of the recordings and 8435.75 MHz for the other one, and used an output IF of 512 MHz. A USRP N321 digitized both polarizations of each antenna. The USRP used an external 10 MHz reference and PPS coming from the observatory distribution system, and LO sharing was set up among the two channels. The IQ sample rate of the USRP was 6.144 Msps, and a GNU Radio flowgraph was used to record IQ data to disk. The GNU Radio flowgraph stored the IQ data for each channel as 16-bin integers in the <a href="https://wiki.gnuradio.org/index.php/Metadata_Information">GNU Radio metatata file format</a>, with detached headers. The header files are included in the dataset as .hdr files. After recording, the data was formatted in <a href="https://github.com/gnuradio/SigMF">SigMF</a> with the script do_sigmf.py.</p> <p>Antenna pointing was done manually by trying to maximize the received signal power, since the ephemerides publicly available when the launch happened differed greatly from the true launch trajectory. As a consequence, there is signal fading when the antenna is not pointed correctly.</p> <p>This dataset is part 1/2. It contains two recordings of the low rate telemetry signal. <a href="https://zenodo.org/records/14060873">Part 2/2</a> contains a recording of the high rate telemetry signal.</p>
The Observed and Simulated Evolution of a Microburst Using X-Band Phased-Array Radar Data Assimilation with EnKF
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Recording of Hera X-band telemetry with the Allen Telescope Array shortly after launch (part 2/2)
<p>This dataset contains an IQ recording of the X-band 8435.8 MHz telemetry signal from the Hera spacecraft done with the Allen Telescope Array starting 1 hour and 30 minutes after launch. Antenna 1a from the ATA was used in dual linear polarization (X and Y polarizations).</p> <p>The hardware configuration was as follows: the antenna was connected to RFCB LO d, which was tuned to a frequency of 8435.75 MHz and used an output IF of 512 MHz. A USRP N321 digitized both polarizations of each antenna. The USRP used an external 10 MHz reference and PPS coming from the observatory distribution system, and LO sharing was set up among the two channels. The IQ sample rate of the USRP was 6.144 Msps, and a GNU Radio flowgraph was used to record IQ data to disk. The GNU Radio flowgraph stored the IQ data for each channel as 16-bin integers in the <a href="https://wiki.gnuradio.org/index.php/Metadata_Information">GNU Radio metatata file format</a>, with detached headers. The header files are included in the dataset as .hdr files.</p> <p>After recording, the data was downsampled to 2.048 Msps 8-bit IQ to reduce the size, and formatted in <a href="https://github.com/gnuradio/SigMF">SigMF</a> with the script do_sigmf.py (contained in part 1/2).</p> <p>Antenna pointing was done manually by trying to maximize the received signal power, since the ephemerides publicly available when the launch happened differed greatly from the true launch trajectory. As a consequence, there is signal fading when the antenna is not pointed correctly.</p> <p>This dataset is part 2/2. It contains a recording of the high rate telemetry signal. <a href="https://zenodo.org/records/14060729">Part 1/2</a> contains two recordings of the low rate telemetry signal.</p>
The hourly data of the Mount Qomolangma X-band dual-polarization radar
<p>The hourly data of the Mount Qomolangma X-band dual-polarization radar in July 2019.</p>
Refractivity inversions from point-to-point X-Band radar propagation measurements
<p>Dynamic refractive environments within the marine atmospheric boundary layer (MABL) pose difficulties in the prediction of super high frequency (SHF), specifically X-band, radar wave propagation due to natural phenomena such as evaporation ducts (ED). This study utilizes a unique dataset collected during the CASPER-East field campaign, including multiple refractivity estimation methods and twelve point-to-point (PTP) electromagnetic datasets, to assess the efficacy of PTP inversion techniques for remote sensing of atmospheric refractivity within the MABL. Comparison of refractivity between the inverse and other refractivity methods show reasonable evaporation duct height estimates by the inversion, and inverse-based propagation predictions are also shown to be more accurate than propagation based on other refractivity prediction methods – numerical weather prediction, theory, and <i>in-situ</i> atmospheric measurements. These results propose the effectiveness of a PTP metaheuristic radar inversion to remotely sense refractive environments from radar propagation measurements in stable and unstable atmospheric conditions.</p>
X-band 3D Radar Cross Section Values for Desert Locusts
<p>Radar Cross Section values simulated using WiPL-D Pro Electromagnetic Solver at X-band (9.4GHz) frequency. </p> <p>Naming convention:</p> <p>[species_name]_[internal_material]_[geometry]_[body_length]_[body_width]_[along_body_RCS_x1000]_[across_body_RCS_x1000]_[model_mass_x1000]_[resolution].</p> <p>Internal material: water or BBG (AKA NelsonLGB). Geometry refers to model dimension. Body length, and width are in millimetres. RCS values are in cm<sup>2</sup>. Model mass is grams. Resolution refers to the number of plates used in WiPL-d Pro to create the model.</p>
Refractivity inversions from point-to-point X-Band radar propagation measurements
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ER-2 X-Band Doppler Radar (EXRAD) EPOCH
The ER-2 X-Band Doppler Radar (EXRAD) EPOCH dataset consists of radar reflectivity and Doppler velocity estimates collected by the EXRAD onboard the AV-6 Global Hawk Unmanned Aerial Vehicle research aircraft, though traditionally this instrument is flown on the NASA ER-2 aircraft. These data were gathered during the East Pacific Origins and Characteristics of Hurricanes (EPOCH) project. EPOCH was a NASA program manager training opportunity directed at training NASA young scientists in conceiving, planning, and executing a major airborne science field program. The goals of the EPOCH project were to sample tropical cyclogenesis or intensification of an Eastern Pacific hurricane and to train the next generation of NASA Airborne Science Program leadership. The EXRAD EPOCH dataset files are available from August 9, 2017 through August 31, 2017 in HDF-5 format.
GPM GROUND VALIDATION ER-2 X-BAND RADAR (EXRAD) IPHEX V1
The GPM Ground Validation ER-2 X-band Radar (EXRAD) IPHEx dataset was collected in support of the Global Precipitation Measurement (GPM) mission Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign in North Carolina, with an intense study period occurring from May 1, 2014 through June 15, 2014. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. EXRAD is a single-frequency X-band Doppler radar that measures reflectivity and Doppler velocity. The science instruments, including the EXRAD, onboard the NASA ER-2 aircraft acted as a proxy for GPM satellite instruments. This dataset is available in netCDF-3 file format.
ER-2 X-Band Doppler Radar (EXRAD) IMPACTS
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.
SPURS-2 shipboard X-band radar backscatter images for the 2016 E. Tropical Pacific field campaign
The SPURS-2 X-band marine navigation radar image dataset was collected from the ship during both the 2016 and 2017 cruises. The dataset consists of screenshots of rain echoes captured directly from the science-use X-band marine navigation radar. Raw data could not be saved. The screenshots show qualitative (uncalibrated) echoes of backscatter from rain. For full details on the screenshots, how they should be used, and what they show about rainfall, please refer to our publication: Thompson, E.J., W.E. Asher, A.T. Jessup, and K. Drushka. 2019. High-Resolution Rain Maps from an X-band Marine Radar and Their Use in Understanding Ocean Freshening. Oceanography 32(2):58–65, https://doi.org/10.5670/oceanog.2019.213 . The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aims to elucidate key mechanisms responsible for near-surface salinity variations in the oceans.
CAMEX-4 MOBILE X-BAND POLARIMETRIC WEATHER RADAR V1
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.
GPM GROUND VALIDATION IOWA X-BAND POLARIMETRIC MOBILE DOPPLER WEATHER RADARS IFLOODS V1
The GPM Ground Validation Iowa X-band Polarimetric Mobile Doppler Weather Radars IFloodS dataset was gathered during the IFloodS campaign from April to June 2013 throughout central and northeastern Iowa. The Iowa Flood Studies (IFloodS) was a ground measurement campaign that took place throughout Iowa from May 1 to June 15, 2013. The main goal of IFloodS was to evaluate how well the GPM satellite rainfall data can be used for flood forecasting. Four X-band Polarimetric (XPOL) Mobile Doppler Weather Radars were used to collected high-resolution observations of precipitation. The data consists of reflectivity, Doppler velocity, spectrum width, differential reflectivity, differential phase, copolar correlation coefficient, and sound-to-noise ratios. These data are available in netCDF, and browse image files are available in .png format.
SPURS-2 shipboard X-band radar backscatter data for the E. Tropical Pacific field campaign
The SPURS-2 X-band marine navigation radar image dataset was collected from the ship during both the 2016 and 2017 cruises. The dataset consists of screenshots of rain echoes captured directly from the science-use X-band marine navigation radar. Raw data could not be saved. The screenshots show qualitative (uncalibrated) echoes of backscatter from rain. For full details on the screenshots, how they should be used, and what they show about rainfall, please refer to our publication: Thompson, E.J., W.E. Asher, A.T. Jessup, and K. Drushka. 2019. High-Resolution Rain Maps from an X-band Marine Radar and Their Use in Understanding Ocean Freshening. Oceanography 32(2):58–65, https://doi.org/10.5670/oceanog.2019.213 . The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is a NASA-funded oceanographic process study and associated field program that aims to elucidate key mechanisms responsible for near-surface salinity variations in the oceans.
GPM GROUND VALIDATION MCGILL VERTICAL POINTING X-BAND (VERTIX) RADAR GCPEX V1
The GPM Ground Validation McGill Vertical Pointing X-Band (VertiX) Radar GCPEx dataset consists of radar reflectivity and Doppler velocity data collected by the Vertically Pointing X-band (VertiX) radar during the Global Precipitation Measurement (GPM) mission Cold-season Precipitation Experiment (GCPEx) field campaign in Ontario, Canada during the 2011-2012 winter season. VertiX can detect all precipitation targets and some ice clouds, as well as measure the Doppler velocity of precipitation targets. These measurements contributed to the overarching goal of GCPEx to collect various snowfall data for the improvement of GPM satellite winter precipitation estimates. These data files are available from January 15 through February 29, 2012 in netCDF-3 format with browse imagery available in GIF format.
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.