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26 results for “SDR”
5405 MHz SigMF baseband recording of RCM-2 (Radarsat Constellation) using PlutoPlus SDR and four log periodic array (LPA) antennas
<p>This dataset contains a recording of the <a href="https://www.asc-csa.gc.ca/eng/satellites/radarsat/technical-features/radarsat-comparison.asp">RCM-2</a> (<a href="https://en.wikipedia.org/wiki/RADARSAT_Constellation">Radarsat Constellation</a>) satellite as it passed over Berkeley, California. The recording was made on 2024-08-13 and is about 15 seconds long, containing acquisition of signal pulses and loss of signal at the tail end of the recording. The dataset is stored in SigMF format. The data files are compressed with xz to reduce their size. The IQ sample rate is 20.0 Msps and the center frequency is 5405 MHz.</p> <p>The linear antenna array used to record contained four HT5 antennas, labeled as: "HT5 antenna UWB log-periodic antenna 1300MHz-10GHz". These four antennas were spaced 21 cm apart. The input from these four antennas was combined with a SP-TX-4B splitter/combiner using equal lengths of LMR400 coax, then amplified using an LNA labeled as "RF AMP 04A: TQP3M9037 0.1-6GHz". The LNA was powered via a +5 volt bias-tee. A "Pluto+" or Pluto Plus SDR was used to sample, with SatDump software. </p> <p> </p>
S-NPP VIIRS SDR data 2017-01-28 12:29 UTC
<p>Suomi NPP VIIRS SDR data received and processed at the Norrköping Direct Readout station valid 12:29-12:44 UTC 28/1-2017, covering north and western parts of Europe including Scandinavia and surrounding seas.</p> <p> </p>
WiFi 2.4 GHz Jamming attack scenario P2 measurements using ADALM Pluto and Maia SDR
<p>The dataset comprises physical-layer data measurements (I-Q samples) collected using an ADALM Pluto SDR version B. The original firmware from Analog Devices was replaced with the Maia-SDR Firmware (<a href="https://maia-sdr.org/">https://maia-sdr.org/</a>). The data was gathered within a 250 square meter area of the WIRID-LAB (<a href="https://wirid-lab.umng.edu.co/">https://wirid-lab.umng.edu.co/</a> laboratory at the Military University Nueva Granada.</p> <p>The dataset is divided into two groups of measurements labeled 'JAMMER' and 'NORMAL', each containing 165 files. These files represent data collected from 15 different points across 11 WiFi channels.</p> <ul> <li><strong>NORMAL Group:</strong> Measurements were taken under standard WiFi traffic conditions without any interference from a jammer.</li> <li><strong>JAMMER Group:</strong> Measurements were taken while deploying a Legacy Short Training Field Jammer attack from a static point.</li> </ul> <p>Each .zip compressed file contains data for 15 measurement points, with each point captured over one second at a sampling rate of 15 Msps. The data is formatted according to the Signal Metadata Format (SigMF), with each measurement point having one <code>.sigmf-data</code> file and one <code>.sigmf-meta</code> file.</p> <p>File names indicate the WiFi channel (enumerated from 1 to 11), signal type (Jammer or Normal), and the attacker node's position 'P2'.</p> <p>An accompanying image (Deployment of a Jammer Attack Scenario inside WiridLAB.png) illustrates the test scenario."</p>
CWRU Farm SDR CHU 3.330 MHz from April 1, 2024
<p>Collected at Squire Valleevue Farm.</p> <table> <tbody> <tr> <td>41.49308889</td> <td>-81.42378287</td> </tr> </tbody> </table>
CWRU Farm SDR CHU 14.770 MHz from April 8, 2024 Solar Eclipse
<p>Collected at Squire Valleevue Farm.</p> <table> <tbody> <tr> <td>41.49308889</td> <td>-81.42378287</td> </tr> </tbody> </table>
SDR-based IoT Communication Systems: An Application for the DASH7 Alliance Protocol
<p>This repository contains a cabled, indoor (office environment) and an outdoor (suburban) <a href="https://www.dash7-alliance.org/" target="_blank" rel="noopener">DASH7</a> data set. All data sets are formatted as sigmf-data and sigmf-meta files which can be investigated with <a href="https://iqengine.org/" target="_blank" rel="noopener">IQEngine</a>, <a href="https://www.gnuradio.org/" target="_blank" rel="noopener">GNU Radio</a> or <a href="https://www.mathworks.com/products/matlab.html" target="_blank" rel="noopener">MATLAB</a>. The original samples were recorded as complex float 32-bit samples and have been converted to complex signed int 16-bit samples. Below you can find a more extended description of the data sets.</p> <p><strong>ds_indoor.zip:</strong></p> <ul> <li>Wireless indoor data set </li> <li>10 locations</li> <li>60 packets per location, 10 packets per file pair (SigMF)</li> <li>Fc: 866.5 MHz</li> <li>Sample rate: 7.68 MHz</li> <li>Data type: ci16_le</li> <li>Length: 8 seconds</li> <li>Channel class: Lo-Rate</li> <li>Sync word: 0x0B67</li> <li>3 Lo-Rate channel recordings per location <ul> <li>channel 0 (Fc: 863.0125 MHz), </li> <li>channel 93 (Fc: 865.3375 MHz), </li> <li>channel 186 (Fc: 867.6625 MHz)</li> </ul> </li> <li>Payload: 3 bytes [0xAB 0xCD] preceded with a counter byte (0-9)</li> </ul> <p> </p> <p><strong>ds_indoor_cabled.zip:</strong></p> <ul> <li>Cabled indoor data set</li> <li>10 recordings per channel</li> <li>10 packets per file pair (SigMF)</li> <li>Fc: 866.5 MHz</li> <li>Sample rate: 7.68 MHz</li> <li>Data type: ci16_le</li> <li>Length: 4 seconds</li> <li>Channel class: Lo-Rate</li> <li>Sync word: 0x0B67</li> <li>3 Lo-Rate channel recordings per location <ul> <li>channel 0 (Fc: 863.0125 MHz), </li> <li>channel 93 (Fc: 865.3375 MHz), </li> <li>channel 186 (Fc: 867.6625 MHz)</li> </ul> </li> <li>Payload: 3 bytes [0xAB 0xCD] preceded with a counter byte (0-9)</li> </ul> <p> </p> <p><strong>ds_outdoor.zip:</strong></p> <ul> <li>Wireless outdoor data set</li> <li>20 locations</li> <li>60 packets per location, 10 packets per file pair (SigMF)</li> <li>Fc: 866.5 MHz</li> <li>Sample rate: 7.68 MHz</li> <li>Data type: ci16_le</li> <li>Length: 8 seconds</li> <li>Channel class: Lo-Rate</li> <li>Sync word: 0x0B67</li> <li>3 Lo-Rate channel recordings per location <ul> <li>channel 0 (Fc: 863.0125 MHz), </li> <li>channel 93 (Fc: 865.3375 MHz), </li> <li>channel 186 (Fc: 867.6625 MHz)</li> </ul> </li> <li>Payload: 3 bytes [0xAB 0xCD] preceded with a counter byte (0-9)</li> </ul> <p> </p> <p><strong>flowgraphs.zip:</strong></p> <ul> <li>Contains 4 folders <ul> <li><strong>data_recording</strong> <ul> <li>Flowgraphs used to record the I/Q data</li> </ul> </li> <li><strong>data_conversion</strong> <ul> <li>Flowgraphs that convert the data to another data type and optionally decrease the length of a data file</li> </ul> </li> <li><strong>DASH7_TX</strong><br> <ul> <li>DASH7 transmitter flowgraph</li> </ul> </li> <li><strong>DASH7_RX</strong> <ul> <li>DASH7 receiver flowgraph</li> </ul> </li> </ul> </li> </ul> <p> </p> <p><strong>gw_logs.zip:</strong></p> <ul> <li>Contains 3 folders <ul> <li><strong>indoor, outdoor, cabled</strong> <ul> <li>Contains all the DASH7 gateway logs per measured channel.</li> </ul> </li> </ul> </li> </ul> <p> </p> <p><strong>locations.zip:</strong></p> <ul> <li><strong>outdoor_locations</strong> <ul> <li>Contains a JSON file with the GPS coordinates of 21 locations and the RX location.</li> <li>Cointains a map with all the outdoor locations</li> </ul> </li> <li><strong>indoor_locations</strong> <ul> <li>Contains a JSON file with the X and Y coordinates of 21 locations and the RX setup location with respect to a reference point.</li> <li>Cointains a map with all the indoor locations</li> </ul> </li> </ul>
S-NPP VIIRS SDR data 2015-03-01 02:48
<p>Suomi NPP VIIRS SDR data from the Norrköping DR station, covering Northern Europe including Scandinavia and surrounding seas.</p> <p>2015-03-01 02:48 - 03:03</p>
SDR moonbounce signals at 433.8MHz
<p>This dataset contains recordings of a moon-bounce experiment performed on 2021-10-05 with the Dwingeloo Radio Telescope (operating under call sign PI9CAM). UHF signals were transmitted with the telescope, and their Moon echo was received about 2.5 seconds later.</p> <p>Most signals were transmitted and received with an Ettus USRP B210. Parallel to the USRP, a board based on a Semtech LR1110 LoRa chip was used to receive both the uplink and downlink signal. Some of the signals were even transmitted using this board. For the LoRa signals, the board recorded the delay between transmit and receive and deduced the distance to the Lunar surface in real time. The output of the board is in lora_log_horizontal.txt and lora_log_vertical.txt. Times in these file are local time (CEST).</p> <p>The data was converted to <a href="https://github.com/gnuradio/SigMF">SigMF</a> format. The metadata contains information on the device used to transmit and receive the signals, and about the modulation used. Signals were transmitted with a 210kHz offset.</p> <p>The absolute timestamps are not very well calibrated: the computer doing the recording was not synchronized. The timestamp in the filename represents the creation time of the file, the time in the metadata approximates the time of the first sample (we guessed the delay based on later experiments).</p> <p>The LoRa moon bounce was a distance record for LoRa. We made a <a href="https://lacuna.space/lora-moon-bounce/">press release</a> for this. The basis for the distance mentioned in the press release was the actual Lunar distance at the time of the Moon bounce in camras-rx-2021_10_05_14_38_49.sigmf-data.</p>
Performance analysis of a portable low-cost SDR-based ionosonde
<p>Dataset of raw ionograms with one hour periodicity recorded at the Ukrainian Antarctic Station "Akademik Vernadsky" from January 1, 2021 to December 31, 2021 by SDR-based ionosonde (file name template: YYYYMMDD_HHMM_iono.ion; example: 20210101_0000_iono.ion) and IPS-42 ionosonde (file name template: YYhMMm.ion; example: 00h00m.ion). Each 7z file contains one month of the ionogram records.</p> <p>The ionograms may be visualised/processed by the IonogramViewer2 program that is available on GitHub: https://github.com/Albom/IonogramViewer2</p> <p>IonogramViewer2 version 1.6 could be downloaded from:<br> https://github.com/Albom/IonogramViewer2/archive/refs/tags/v1.6.0.zip (source code)<br> https://github.com/Albom/IonogramViewer2/releases/download/v1.6.0/IonogramViewer2-1.6.zip (standalone version for Windows x64)</p>
The Prototype of a Fast Vertical Ionosonde Based on Modern SDR Devices - paper dataset
<p>Dataset for paper "The Prototype of a Fast Vertical Ionosonde Based on Modern SDR Devices"</p> <p>Content:</p> <p>1. SDRLab122-16_firmwares.tbz - RED PITAYA SDRLAB 122-16 firmwares for AM & PSK ionosonde's TX part with 5 ms pulse period.</p> <p>2. ionosonde_gr_oot.tbz - archive with git-repo of GNU Radio OOT Trigger Module (the part of the ionosonde's receiving part).</p> <p>3. ion-fast_receiver.tbz - archive with programs (gnu radio companion flow graphs, python & bash scripts) for plotting ionograms (the part of the ionosonde's receiving part)</p> <p>4. npy_data.tar - archive with examples of received ionograms in numpy format.</p> <p>5. png_ionogram_file_examples.tbz - archive with examples of received ionograms in png-image format.</p> <p>6. raw_iq_data_complex64_am.iq - raw iq data example (sample_rate = 10e6, central freq = 5500000 Hz, data_type= complex64) AM modulation with 5 ms pulse period.</p> <p>7. raw_iq_data_complex64_psk.iq - raw iq data example (sample_rate = 10e6, central freq = 5500000 Hz, data_type= complex64) PSK modulation with 5 ms pulse period.</p> <p>8. AM-Large_antenna.mp4 - video demonstration of the ionosonde operation using a large diagnostic antenna in the amplitude manipulation mode</p> <p>9. AM-CADI_antenna.mp4 - video demonstration of the ionosonde operation using the CADI's antenna in the amplitude manipulation mode.</p> <p>10. PSK_CADI_antenna.mp4 - video demonstration of the ionosonde operation using the CADI's antenna in the phase manipulation mode.</p> <p>11. AM-Chirp_ionosonde_antenna.mp4 - video demonstration of the ionosonde operation using the CHIRP ionospnde's inclined antenna in the amplitude manipulation mode.</p>
ADALM-PLUTO SDR Experimental Data: Single-Carrier QAM at 1 MBaud
<p>Experimental data obtained from ADALM-PLUTO software defined radio for single-carrier m-QAM transmission at 1 MBaud. The dataset comprises several modulation format orders (QPSK, 8QAM, 16QAM, 32QAM, 64QAM, 128QAM, 256QAM and 512 QAM) tested at different carrier frequencies and roll-off factors.</p>
A semi-implicit relaxed Douglas-Rachford algorithm (sDR) for Ptychography
<p>Alternating projection based methods, such as ePIE and rPIE, have been used widely in ptychography. However, they only work well if there are adequate measurements (diffraction patterns); in the case of sparse data (i.e. fewer measurements) alternating projection underperforms and might not even converge. In this paper, we propose semi-implicit relaxed Douglas-Rachford (sDR), an accelerated iterative method, to solve the classical ptychography problem. Using both simulated and experimental data, we show that sDR improves the convergence speed and the reconstruction quality relative to extended ptychographic iterative engine (ePIE) and regularized ptychographic iterative engine (rPIE). Furthermore, in certain cases when sparsity is high, sDR converges while ePIE and rPIE fail or encounter slow convergence. To facilitate others to use the algorithm, we post the Matlab source code of sDR on a public website (www.physics.ucla.edu/research/imaging/sDR) and data con zenodo. We anticipate that this algorithm can be generally applied to the ptychographic reconstruction of a wide range of samples in the physical and biological sciences.</p>
SDR Monitoring in Children With Cerebral Palsy
ClinicalTrials.gov study NCT03079362. IPD Sharing: NO. Countries: 1. Publications: 1.
GNSS signals acquired by a Software Defined Radio (SDR) system subject to ionospheric scintillations
<p>Global Navigation Satellite System (GNSS) signals crossing small-scale electron density irregularities in the ionosphere may be subject to rapid fluctuations of their amplitude and phase known as ionospheric scintillations. Ionospheric scintillations may cause cycle slips and loss of lock of the GNSS signals, thus hindering the accuracy and integrity of precise positioning applications. GNSS scintillation can be studied and monitored by processing the GNSS signals through dedicated ground-based monitoring equipment such as the Ionospheric Scintillation Monitoring Receiver (ISMR). Moreover, Software Defined Radio (SDR) equipment has been demonstrated as a powerful tool to support the analysis of GNSS signals subject to this kind of phenomena. </p> <p>This dataset contains 3 hours of GNSS signal acquired by an SDR system located in Lampedusa, Italy (lat:35.52, lon: 12.63). The dataset was acquired on the 23th March 2023, from 20 to 22 UTC. Within this timespan, a co-located ISMR receiver detected ionospheric scintillations on a few of the GNSS satellites in view. </p> <p>Besides the binary data from the SDR system, a json file containing the Scintillation Indices at 1 min resolution acquired by the ISMR receiver is also provided.</p>
Medtronic Signia SDR Product Surveillance Registry
ClinicalTrials.gov study NCT05095935. IPD Sharing: NO. Countries: 1. Publications: 0.
NSCAT Level 1.7 SDR, Sigma-0 Cells
The NASA Scatterometer (NSCAT) Level 1.7 ocean sigma-0 referenced to 50 km wind vector cells (WVC) contains daily backscatter (sigma-0) data from ascending and descending passes. Rain flagging information is not included. Data is flagged where measurements are either missing, ambiguous, or contaminated by land/sea ice. This is the most up-to-date version, which designates the final phase of calibration, validation and science data processing, which was completed in November of 1998, on behalf of the JPL NSCAT Project; re-processing had only minor impacts on the Level 1.7 data.
CGH array: Sprague-Dawley rat (SDR) vs Hirosaki hairless rat (HHR)
GEO Series GSE48825. Rattus norvegicus. 2 samples. Type: Genome variation profiling by genome tiling array.
SDR moonbounce signals at 1297MHz
<p>This dataset contains recordings of a moon-bounce experiment performed on 2021-12-16 with the Dwingeloo Radio Telescope (operating under call sign PI9CAM). UHF signals were transmitted with the telescope, and their Moon echo was received about 2.5 seconds later.</p> <p>The signals were transmitted and received with an Ettus USRP B210. The data was converted to <a href="https://github.com/gnuradio/SigMF">SigMF</a> format. The metadata contains information on the device used to transmit and receive the signals, and about the modulation used. Signals were transmitted with a 210kHz offset.</p> <p>Apart from the recordings (filenames starting with 'camras-txrx'), which contain both the uplink and the downlink, also the original IQ files that were transmitted are included. The key 'camras:tx_file' in the metadata tells which file was transmitted.</p> <p>The absolute timestamps are not very well calibrated: the computer doing the recording was not synchronized. The timestamp in the filename represents the creation time of the file, the time in the metadata refers to the time of the first sample as reported by GnuRadio.</p>
MRgFUS Thalamotomy for Therapy-Resistant Tremor-related Disease With Low SDR Value
ClinicalTrials.gov study NCT05624385. IPD Sharing: Not stated. Countries: 1. Publications: 0.
VIIRS/NPP Imagery Resolution 6-Min L1B Swath SDR 375m NRT
The VIIRS Level 1 and Level 2 swath products are generated from the processing of 6 minutes of VIIRS data acquired during the S-NPP satellite overpass. The VIIRS sensor has 5 high-resolution imagery channels (I-bands) that have 32 detectors (32 rows of pixels per scan), with twice the resolution of the M-bands and the DNB, that span the wavelengths from 0.640 µm to 11.45 µm. The VNP02IMG product is comprised of 5 bands that are sensitive to visible, near-infrared (NIR), and thermal wavelengths. The spatial resolution of the instrument at viewing nadir is approximately 375 m for the Imagery bands, and 750m for the DNB and the Moderate-resolution Bands.The spatial resolution of the instrument at viewing nadir is approximately 750 m for the Moderate-resolution and Day/Night Bands, and 375m for the Imagery bands.file_naming_convention = "VNP02IMG_NRT.AYYYYDDD.HHMM.CCC.nc AYYYYDDD = Acquisition Year and Day of Year HHMM = Acquisition Hour and Minute CCC = Collection number nc = NetCDF5
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)
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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.