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3,081 results for “array”
Recording of Artemis I Orion with the Allen Telescope Array on 2022-11-16 (part 1/2)
<p>This dataset contains an IQ recording of the S-band 2216.5 MHz telemetry signal from the Artemis I Orion Multipurpose Crewed Vehicle. The recording was done on 2022-11-16, about seven hours after launch. Antenna 1a from the Allen Telescope Array was used in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: the antenna was connected to RFCB LO d, which was tuned to a frequency of 2216.5 MHz and used an output IF of 512 MHz. A USRP N321 was connected to the IF output of the RFCB. The USRP N321 digitized both polarizations of the 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 10.24 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 postprocessed to synthesize the signal polarization (which is expected to be RHCP) by finding and correcting the amplitude and phase offset between the X and Y channels, and adding coherently both channels. The data was converted to 8-bit to reduce the size of the dataset. Finally the dataset was formatted using <a href="https://github.com/gnuradio/SigMF">SigMF</a>.</p> <p>This dataset contains part 1. Part 2, which contains a recording done at a later time during the same session can be found <a href="https://zenodo.org/record/7396606">here</a>.</p>
Decoded Artemis I Orion S-band telemetry frames recieved with the Allen Telescope Array on 2022-11-16
<p>This datasets contains the AOS Space Data Link frames obtained by decoding the Artemis I Orion Multipurpose Crewed Vehicle S-band telemetry signal at 2261.5 MHz using some IQ recordings done at the Allen Telescope Array on 2022-11-16, about 7 hours after launch.</p> <p>The 128-byte AOS frames are stored in raw binary files, which contain all the frames concatenated, with no headers or delimiters.</p> <p>The IQ recordings from which these frames have been decoded can be found in the datasets Recording of Artemis I Orion with the <a href="https://zenodo.org/record/7395644">Allen Telescope Array on 2022-11-16 (part 1/2)</a> and <a href="https://zenodo.org/record/7396606">Recording of Artemis I Orion with the Allen Telescope Array on 2022-11-16 (part 2/2)</a>.</p>
Data accompanying "Calibrated microphone array recordings reveal that a gleaning bat emits low-intensity echolocation calls even in open-space habitat"
<p>Introduction to the dataset: </p> <p>In this manuscript, we analyse recordings of brown long-eared bats in the wild collected with a 4-microphone array, which we use to measure the distance between the bat and the microphone.<br> The distance is then used to correct the recordings for distance-dependent frequency and amplitude attenuation.<br> To ensure that our measurements and corrections are correct, we fully calibrated the microphone array and analysis set-up. <br> The calibration includes a comparison between real distances and calculated distances between a loudspeaker and the microphone array as well as comparisons between the real amplitude and the calculated amplitude of the loudspeaker.<br> To obtain the original amplitude of the calibration recording, we calibrated the loudspeaker as well</p> <p>In this folder, we provide the original bat recordings as well as the datasheet with all analysed call measurements, and the original data from the microphone calibration.</p> <p>DATA & FILE OVERVIEW</p> <p>Folder list: <br> - Bat data: folder containing the original Plecotus recordings and raw call parameters<br> - Calibration data : folder containing the array calibration raw data, as well as codes and recordings necessary to calibrate the loudspeaker. <br> </p>
Recordings of Artemis I LunaH-Map with the Allen Telescope Array on 2022-11-16
<p>This dataset contains IQ recordings of the X-band 8451.7 MHz MHz telemetry signal from the Artemis I LunaH-Map cubesat. The recording was done on 2022-11-16, about seven hours after launch. Antennas 1a and 5c from the Allen Telescope Array were used in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: the antennas were connected to RFCB LO d, which was tuned to a frequency of 8451.5 MHz and used an output IF of 512 MHz. A USRP N321 and a USRP N320 were connected to the IF output of the RFCB. The USRP N321 digitized both polarizations of antenna 1a, while the USRP N320 digitized both polarizations of antenna 5c. The USRPs used an external 10 MHz reference and PPS coming from the observatory distribution system, and LO sharing was set up among all the channels. The IQ sample rate of the USRPs was 1.92 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 converted to <a href="https://github.com/gnuradio/SigMF">SigMF</a> format. The detached headers are also provided in the dataset (they have the .hdr extension).</p> <p>There are two recordings in this dataset. In the first one, LunaH-Map is transmitting a PCM/PM/bi-phase-L signal at approximately 48 kbaud. In the second one, LunaH-Map is transmitting a PCM/PM/NRZ signal at approximately 255 kbaud.</p> <p>Since the second recording doesn't have good enough SNR for error-free decoding with a single antenna, the two antennas were beamformed by determining the correct complex amplitude, delay and frequency offsets for the two antennas, and by correcting these parameters before adding the signals. The beamformed signal is provided in the HMAP_2022-11-16T15:16:06_beamform SigMF dataset. In this dataset, the signal polarization has been synthesized by finding the correct amplitude and phase offset between the X and Y channels of each antenna, and adding coherently both channels before beamforming.</p>
Recording of Artemis I EQUULEUS with the Allen Telescope Array on 2022-11-16
<p>This dataset contains an IQ recording of the X-band 8443.5 MHz MHz telemetry signal from the Artemis I EQUULEUS cubesat. The recording was done on 2022-11-16, about seven hours after launch. Antennas 1a and 5c from the Allen Telescope Array were used in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: the antennas were connected to RFCB LO d, which was tuned to a frequency of 8443.5 MHz and used an output IF of 512 MHz. A USRP N321 and a USRP N320 were connected to the IF output of the RFCB. The USRP N321 digitized both polarizations of antenna 1a, while the USRP N320 digitized both polarizations of antenna 5c. The USRPs used an external 10 MHz reference and PPS coming from the observatory distribution system, and LO sharing was set up among all the channels. The IQ sample rate of the USRPs was 1.92 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 converted to <a href="https://github.com/gnuradio/SigMF">SigMF</a> format. The detached headers are also provided in the dataset (they have the .hdr extension).</p>
Batang dense seismic nodal array 2021
<p>eventBT.zip includes all 3-components waveform used to calculate receiver function.</p> <p>BTRF25.zip, BTRF35.zip and BTRF50.zip are receiver functions with Gaussian factor 2.5, 3.5 and 5.0, respectively.</p>
Experimental Data for: Machine learning enabled image analysis of time-temperature sensing colloidal arrays
<p>This dataset contains images of colloidal arrays functioning as time-temperature integrating, autonomous sensors. Each image shows a sensor consisting of multiple colloidal crystals with varying compositions of particles with different glass transition temperatures. Details on the composition and manufacturing procedures are explained in the corresponding publication. The data is organized into folders with different temperature setpoints. For each temperature, we investigated 10 samples. The name of the samples corresponds to their creation date. The name of the image files corresponds to their acquisition time. The first image in each sample folder was taken at the very start of the heating period. Hence, the heating time can be calculated by subtracting the start time from the acquisition time.</p>
Recording of Artemis I ArgoMoon with the Allen Telescope Array on 2022-11-16
<p>This dataset contains an IQ recording of the X-band 8475 MHz telemetry signal from the Artemis I ArgoMoon cubesat. The recording was done on 2022-11-16, about seven hours after launch. Antennas 1a and 5c from the Allen Telescope Array were used in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: the antennas were connected to RFCB LO d, which was tuned to a frequency of 8475 MHz and used an output IF of 512 MHz. A USRP N321 and a USRP N320 were connected to the IF output of the RFCB. The USRP N321 digitized both polarizations of antenna 1a, while the USRP N320 digitized both polarizations of antenna 5c. The USRPs used an external 10 MHz reference and PPS coming from the observatory distribution system, and LO sharing was set up among all the channels. The IQ sample rate of the USRPs was 1.92 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 converted to <a href="https://github.com/gnuradio/SigMF">SigMF</a> format. The detached headers are also provided in the dataset (they have the .hdr extension).</p> <p>There are two recordings in this data set. A different modulation and data rate is used by ArgoMoon in each of them.</p>
Dataset for manuscript titled "Large active-area superconducting microwire detector array with single-photon sensitivity in the near-infrared"
<p>The manuscript "Large active-area superconducting microwire detector array with single-photon sensitivity in the near-infrared" contains results for 1 mm<sup>2</sup> 8 pixel superconducting microwire single-photon detector arrays. All of the data used to generate the photon count rate vs. bias current and dark count rate vs. bias current plots are provided, along with measured properties of the films used to fabricate all devices. </p>
Teleseismic P records and ambient noise cross-correlations from a dense ocean-bottom seismometer array at Hyuga-nada
<p><strong>Telesesimic P and ambient noise cross-correlation dataset from a dense OBS array at Hyuganada, SW Japan. </strong> The dataset are used in a manuscript titled 'Shallow low-velocity layer in the Hyuga-nada accretionary prism and its hydrological implications: insights from a passive seismic array', which is submitted to the Journal of Geophysical Research: Solid Earth. It also contains necessary data for reproducing inversion analysis performed in the manuscript. </p> <ol> <li><em>Teleseismic_P.tar.gz</em>: contains teleseismic P wave forms in SAC format </li> <li><em>Noise_cross_corr.tar.gz</em>: contains ambient noise cross-correlation functions in SAC format</li> <li><em>Reproduce.tar.gz</em>: dataset for reproducing inversion analysis. <pre><code class="language-bash"># Example shell script for reproduce inversion results HDA01 cd Reproduce/INV/HDA01 mpirun -np 20 joint_inv joint_inv.in</code></pre> <p>The SEIS_FILO software (https://doi.org/10.5281/zenodo.6330840) is required for this reproduction.</p> </li> </ol>
JUICE telemetry frames decoded from an Allen Telescope Array recording on 2023-04-15
<p>This dataset contains the TM Space Data Link frames from the ESA spacecraft JUICE (Jupiter Icy Moons Explorer), decoded from the IQ recording in datsets <a href="https://zenodo.org/record/7856893">Recording of JUICE with the Allen Telescope Array on 2023-04-15 (antenna 1a)</a> and <a href="https://zenodo.org/record/7856895">Recording of JUICE with the Allen Telescope Array on 2023-04-15 (antenna 5c)</a>.</p> <p>The frames are stored back-to-back with no metadata or delimiters in a binary file. Each frame is 1113 bytes long. The Frame Error Control Field (FECF, CRC-16) has been checked and removed by the decoder (only frames with valid CRC-16 are present in the file, but there are a few frames corresponding to false decodes).</p>
Data and analysis accompanying the paper "Shuttling an electron spin through a silicon quantum dot array"
<p>Raw data and analysis scripts to reproduce the analysis for the figures of the paper "Shuttling an electron spin through a silicon quantum dot array". Analysis scripts are written in python and require the package QCoDeS.</p> <p>Zwerver, A.M.J., et al. ArXiv:2209.000920v2</p>
Recording of the STEREO-A space weather beacon with the Allen Telescope Array
<p>This dataset contains an IQ recording of the X-band 8443.5 MHz space weather beacon from STEREO-A, done with one of the antennas of the Allen Telescope Array. The recording was made as part of a demo for some GNU Radio tutorials for the Breakthrough Listen REU program.</p> <p>The recording was done with the spacecraft at around 9 million km from Earth, so the SNR is very good. Only one linear polarization (X, or horizontal) was recorded, using antenna 4g from the array.</p> <p>The hardware configuration was as follows: the antenna was connected to RFCB LO d, which was tuned to a frequency of 8443.54 MHz and used an output IF of 512 MHz. A USRP N321 digitized the X polarization. The USRP used an external 10 MHz reference and PPS coming from the observatory distribution system. The IQ sample rate of the USRP was 480 ksps, 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 formatted using <a href="https://github.com/gnuradio/SigMF">SigMF</a>.</p>
Quick RFI Survey at the Allen Telescope Array
<p>This dataset contains some recordings done as a proof of concept of a radio frequency interference (RFI) scan at the Allen Telescope Array with an ADALM Pluto running <a href="https://maia-sdr.org/">Maia SDR</a>, a small monopole antenna for ~450 MHz, and a smartphone. The proof of concept consisted in showing how this hand-held equipment can be used to obtain a quick overview of strong RFI signals. IQ recordings in <a href="https://github.com/sigmf/SigMF">SigMF format</a> were done for all the signals between 70 MHz and 6 GHz visually detected on a spectrum plot. The 6 recordings are contained in this dataset. See <a href="https://destevez.net/2023/08/a-very-quick-rfi-survey-at-the-allen-telescope-array/(opens in a new tab)">this blog post</a> for more details and a short description of each recording.</p>
Variable Scintillation Arcs in Millisecond Pulsars observed with the Large European Array for Pulsars
<p>Dynamic spectra used in "Variable Scintillation Arcs in Millisecond Pulsars observed with the Large European Array for Pulsars". </p> <p>The dynamic spectra are simple ascii (the same output produced by psrflux), produced as described in the manuscript. A function to read them in python is included on github: https://github.com/ramain/scintillation/blob/master/scintillation/dynspectools/dynspectools.py, and they should all be compatible with the scintools package.</p>
Guangdong Lightning Mapping Array: Errors Evaluation and Preliminary Results
<p>The attached is the dataset assoicated with the paper titled "Guangdong Lightning Mapping Array: Errors Evaluation and Preliminary Results" which was submitted to Journal of Earth and Space Science.</p> <p>The Guangdong Lightning Mapping Array (GDLMA), as the first LMA in China, was deployed in Guangzhou, Guangdong province, China, in November 2018 by the Chinese Academy of Meteorological Sciences (CAMS) and New Mexico Institute of Mining and Technology (NMT). An evaluation was conducted using Monte Carlo and an aircraft track. The average timing uncertainty of GDLMA is 35 ns based on the distributions of reduced chi-square values. The detection efficiency of radiation sources within a 100 km range of the center of GDLMA exceeds 90%. Based on the aircraft track, at an altitude of 4-5 km within the network, the average horizontal error was 13 m and the average horizontal error was 41 m, consistent with the Monte Carlo results. Location errors outside the network exhibit noticeable directionality. The ability to characterize lightning channels varies with different location errors. In locations that are far from the network center, only the basic structure of lightning flash can be presented, while closer to the network, the flash channel structure can be mapped well. Compared with Low-to-Mid Frequency E-field Detection Array (MLFEDA), they were generally similar in overall structure, and some lightning flash characteristics such as flash duration and convex hull area exhibited consistency. However, GDLMA demonstrated better channel characterization capability, while MFLEDA performed better in processes such as leader/return strokes.</p>
Seismic data and receiver functions from two linear dense nodal array in the southern Chinese Altai region
<p>Seismic data and receiver functions from two linear dense nodal array in the southern Chinese Altai region. All data are arranged by seismic events, and the number before the first dot of each file name represents the station number.</p>
Data for Dipolar spin-exchange and entanglement between molecules in an optical tweezer array
<p>Data for Dipolar spin-exchange and entanglement between molecules in an optical tweezer array</p>
Recording of OSIRIS-REx with the Allen Telescope Array during SRC reentry
<p>This dataset contains an IQ recording of the X-band 8445.8 MHz telemetry signal from OSIRIS-REx as it passed over California during the sample return capsule reentry. Antennas 1a and 5c from the Allen Telescope Array were used in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: the antennas were connected to RFCB LO d, which was tuned to a frequency of 8425 MHz and used an output IF of 512 MHz. A USRP N321 and N320 digitized both polarizations of each antenna. The USRPs used an external 10 MHz reference and PPS coming from the observatory distribution system, and LO sharing was set up among the four channels. The IQ sample rate of the USRPs was 61.44 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 2.048 Msps centered around 8445.8 MHz and formatted using <a href="https://github.com/gnuradio/SigMF">SigMF</a> using the script do_sigmf.py.</p>
Electrical Alignment Signatures of Ice Particles before Intracloud Lightning Activity Detected by Dual-polarized Phased Array Weather Radar
<p>lightning data from LIDEN system and the data of the Dual-polarized Phased Array Weather Radar (DP-PAWR) on August 20, 2019. </p>
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.