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3,081 results for “array”
Phonon-assisted coherent transport of excitations in Rydberg-dressed atom arrays
<p>Data corresponding to the article 'Phonon-assisted coherent transport of excitations in Rydberg-dressed atom arrays'.</p> <p>File description:</p> <ul> <li> <p>data_experimental_single_run.zip - numerical data corresponding to Fig. 2 and Fig. 3</p> </li> <li> <p>data_general_phase_diagram_dense_grid.zip - numerical data corresponding to Fig. 4</p> </li> <li>data_general_phase_diagram_dense_grid_zoom.zip - numerical data corresponding to Fig. 5</li> <li> <p>data_general_single_run_reply.zip - numerical data corresponding to Fig. 6 and Fig. 7</p> </li> </ul>
Bottle-calibrated dissolved oxygen profiles from yearly turn-around cruises for the Ocean Observations Initiative (OOI) Irminger Sea Array 2014-2022
<p>This dataset contains bottle-calibrated dissolved oxygen (DO) profiles collected from Conductivity Temperature Depth (CTD) casts on turn-around cruises performed yearly to maintain the Ocean Observations Initiative (OOI) Global Irminger Sea Array (60.46°N, 38.44°W). DO profiles were used in conjunction with oxygen bottle measurements (Winklers) to produce a post-cruise oxygen-calibrated CTD product for scientific use. Bottle-calibrated CTD salinity products were used to produce post-cruise oxygen-calibrated CTD profiles starting in 2018 (Year 5). This document contains overviews of CTD data collection and processing and post-processing oxygen sensor calibration method. Reports for each cruise include a summary of relevant cruise events, oxygen sensor calibration results, and issues/problems associated with oxygen data collected on each cruise. This dataset has been created for end-users that require field-calibrated oxygen data products that are currently not provided by OOI through its standard data dissemination.</p>
Investigating the Characteristics of Microseisms using the Australian Seismic Arrays
<p>This repository contains supporting data for reproducing back-projection figures in the manuscript entitled "Investigating the Characteristics of Microseisms using the Australian Seismic Arrays". Please see the readme file in the directory.</p>
HOMULA-RIR: A Room Impulse Response Dataset for Teleconferencing and Spatial Audio Applications Acquired Through Higher-Order Microphones and Uniform Linear Microphone Arrays
<p>In this paper, we present HOMULA-RIR, a dataset of room impulse responses (RIRs) acquired using both higher-order microphones (HOMs) and a uniform linear array (ULA), in order to model a remote attendance teleconferencing scenario. Specifically, measurements were performed in a seminar room, where a 64-microphone ULA was used as a multichannel audio acquisition system in the proximity of the speakers, while HOMs were used to model 25 attendees actually present in the seminar room. The HOMs cover a wide area of the room, making the dataset suitable also for applications of virtual acoustics. Through the measurement of the reverberation time and clarity index, and sample applications such as source localization and separation we demonstrate the effectiveness of the HOMULA-RIR dataset.</p>
Queqiao recording with Allen Telescope Array on 2021-09-19
<p>This dataset contains a recording of the S-band telemetry downlink from the Queqiao Chang'e 4 relay satellite in orbit around the Earth-Moon L2 Lagrange point. The recording was done on 2021-09-19 at Allen Telescope Array using antenna 2e in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: antenna 2e was connected to RFCB LO d, which was tuned to a frequency of 2234.5 MHz and used an output IF of 512 MHz. A USRP N321 was connected to the IF output of the RFCB and digitized both polarizations. The USRP used 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.</p> <p>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. After recording, the data was converted to <a href="https://github.com/gnuradio/SigMF">SigMF</a> format.</p>
James Webb Space Telescope S-band recording with Allen Telescope Array (wideband excerpt)
<p>This dataset contains a recording of the S-band telemetry downlink of James Webb Space Telescope. The recording was done on 2021-12-26, roughly one day after launch, using Allen Telescope Array antenna 2e in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: antenna 2e was connected to RFCB LO d, which was tuned to a frequency of 2270.5 MHz and used an output IF of 512 MHz. A USRP N321 was connected to the IF output of the RFCB and digitized both polarizations. The USRP used external 10 MHz reference and PPS coming from the observatory distribution system. The IQ sample rate of the USRP was 3.84 Msps and a GNU Radio flowgraph was used to record IQ data to disk.</p> <p>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. After recording, the data was converted to <a href="https://github.com/gnuradio/SigMF">SigMF</a> format. The recording lasts more than 4 hours, but only the first 25 minutes of data are included in the SigMF files to keep the total size of the dataset below 50 GB. Detached metadata files, with .hdr extension, contain the metadata for the full recording.</p> <p>A version of this recording which contains the full length but is decimated to 320 ksps can be found in the dataset <a href="https://zenodo.org/record/5813770#.YdNFWIqCGCg">James Webb Space Telescope S-band recording with Allen Telescope Array (320 kHz bandwidth)</a>.</p>
James Webb Space Telescope S-band recording with Allen Telescope Array (320 kHz bandwidth)
<p>This dataset contains a recording of the S-band telemetry downlink of James Webb Space Telescope. The recording was done on 2021-12-26, roughly one day after launch, using Allen Telescope Array antenna 2e in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: antenna 2e was connected to RFCB LO d, which was tuned to a frequency of 2270.5 MHz and used an output IF of 512 MHz. A USRP N321 was connected to the IF output of the RFCB and digitized both polarizations. The USRP used external 10 MHz reference and PPS coming from the observatory distribution system. The IQ sample rate of the USRP was 3.84 Msps and a GNU Radio flowgraph was used to record IQ data to disk.</p> <p>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. After recording, the data was decimated to 320 ksps and converted to <a href="https://github.com/gnuradio/SigMF">SigMF</a> format. By using 320 ksps, residual carrier and 80 kbaud PCM/PM/NRZ telemetry modulation are still present in decimated recording. However, the sequential ranging tones are outside of the decimated recording passband. An excerpt of the full 3.84 Msps recording, which contains the sequential ranging tones, is published as the dataset "<a href="https://zenodo.org/record/5812277#.YdHytoqCGCg">James Webb Space Telescope S-band recording with Allen Telescope Array (wideband excerpt)</a>". Detached metadata files, with .hdr extension, contain the metadata for the original 3.84 Msps recording.</p>
High time resolution search for prompt radio emission from the long GRB 210419A with the Murchison Widefield Array
<p>The time series of Stokes parameters in the PSRFITS format formed from the MWA data at the position of GRB 210419A.</p>
Dictionaries of integers to array of integers - dataset for testing reading speed of irregular files
<p>Generated by https://github.com/abelsiqueira/faster-python-using-julia-blogposts/blob/03a8d5a1a5fb99fa9071b3a5980eaa627ed7b4d9/post3/src/julia/gen_dataset.jl</p> <p>Example file: </p> <pre><code>1#1024 271#31,32,33,301 403#99,105</code></pre> <p> </p>
Recording of DELFI-PQ/EASAT-2/HADES PocketQubes and other amateur satellites in the SpaceX Transporter 3 launch with the Allen Telescope Array on 2022-01-15 (antenna 1f)
<p>This dataset contains a recording of the 435 MHz telemetry signals of the DELFI-PQ, EASAT-2, HADES PocketQubes and other amateur satellites in the SpaceX Transporter 3 launch. The recording was done on 2022-01-15, two days after launch. Antennas 1a and 1f from the Allen Telescope Array were used in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: the two antennas were connected to RFCB LO d, which was tuned to a frequency of 436.5 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 and digitized both polarizations of antenna 1a, and the USRP N320 digitized both polarizations of antenna 1f. Both USRPs used 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 USRP was 3.84 Msps and a GNU Radio flowgraph was used to record IQ data to disk.</p> <p>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. After recording, the data was converted to <a href="https://github.com/gnuradio/SigMF">SigMF</a> format.</p> <p>This dataset contains the data for antenna 1f. The data for antenna 1a is in the dataset <a href="https://zenodo.org/record/5874005#.YecgA4qCGCg">Recording of DELFI-PQ/EASAT-2/HADES PocketQubes and other amateur satellites in the SpaceX Transporter 3 launch with the Allen Telescope Array on 2022-01-15 (antenna 1a)</a>. The sigmf-collection file grouping all the recordings is provided in both datasets for convenience.</p> <p>Due to the lack of reliable TLEs, during the first part of the recording, the following TLE was tracked:</p> <p>1 99489U 22013.68438100 .00000000 00000-0 57534-2 0 06<br> 2 99489 97.5121 83.3548 0000001 54.9139 307.6602 15.14117915 08</p> <p>This TLE was fitted to previous Doppler observations of DELFI-PQ done by amateurs.</p> <p>After this object set, the following TLE was tracked:</p> <p>1 70302C 22002B 22013.68430822 .00096806 00000-0 57494-2 0 02<br> 2 70302 97.5121 83.3548 0012811 276.7340 85.5055 15.11291562 14</p> <p>This comes from the post-deployment TLEs in Celestrak for DELFI-PQ/EASAT-2/HADES.</p>
Recording of DELFI-PQ/EASAT-2/HADES PocketQubes and other amateur satellites in the SpaceX Transporter 3 launch with the Allen Telescope Array on 2022-01-15 (antenna 1a)
<p>This dataset contains a recording of the 435 MHz telemetry signals of the DELFI-PQ, EASAT-2, HADES PocketQubes and other amateur satellites in the SpaceX Transporter 3 launch. The recording was done on 2022-01-15, two days after launch. Antennas 1a and 1f from the Allen Telescope Array were used in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: the two antennas were connected to RFCB LO d, which was tuned to a frequency of 436.5 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 and digitized both polarizations of antenna 1a, and the USRP N320 digitized both polarizations of antenna 1f. Both USRPs used 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 USRP was 3.84 Msps and a GNU Radio flowgraph was used to record IQ data to disk.</p> <p>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. After recording, the data was converted to <a href="https://github.com/gnuradio/SigMF">SigMF</a> format.</p> <p>This dataset contains the data for antenna 1a The data for antenna 1f is in the dataset <a href="https://zenodo.org/record/5866602#.YecgMoqCGCg">Recording of DELFI-PQ/EASAT-2/HADES PocketQubes and other amateur satellites in the SpaceX Transporter 3 launch with the Allen Telescope Array on 2022-01-15 (antenna 1f)</a>. The sigmf-collection file grouping all the recordings is provided in both datasets for convenience.</p> <p>Due to the lack of reliable TLEs, during the first part of the recording, the following TLE was tracked:</p> <p>1 99489U 22013.68438100 .00000000 00000-0 57534-2 0 06<br> 2 99489 97.5121 83.3548 0000001 54.9139 307.6602 15.14117915 08</p> <p>This TLE was fitted to previous Doppler observations of DELFI-PQ done by amateurs.</p> <p>After this object set, the following TLE was tracked:</p> <p>1 70302C 22002B 22013.68430822 .00096806 00000-0 57494-2 0 02<br> 2 70302 97.5121 83.3548 0012811 276.7340 85.5055 15.11291562 14</p> <p>This comes from the post-deployment TLEs in Celestrak for DELFI-PQ/EASAT-2/HADES.</p>
Magnetotelluric array covering the Xuefengshan-Jiuling belt, South China
<p>The MT data files in EDI format belonging to the array covering the Xuefengshan-Jiuling belt, South China</p>
Recording of DELFI-PQ/EASAT-2/HADES PocketQubes and other amateur satellites in the SpaceX Transporter 3 launch with the Allen Telescope Array on 2022-01-16
<p>This dataset contains a recording of the 435 MHz telemetry signals of the DELFI-PQ, EASAT-2, HADES PocketQubes and other amateur satellites in the SpaceX Transporter 3 launch. The recording was done on 2022-01-16, three days after launch. Antennas 1a and 1f from the Allen Telescope Array were used in dual XY (linear) polarization.</p> <p>The hardware configuration was as follows: the two antennas were connected to RFCB LO d, which was tuned to a frequency of 436.5 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 and digitized both polarizations of antenna 1a, and the USRP N320 digitized both polarizations of antenna 1f. Both USRPs used 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 USRP was 3.84 Msps and a GNU Radio flowgraph was used to record IQ data to disk.</p> <p>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. After recording, the data was converted to <a href="https://github.com/gnuradio/SigMF">SigMF</a> format.</p> <p>The following TLE was used for antenna tracking:</p> <p>1 99489U 22016.00000000 .00000000 00000-0 57534-2 0 09<br> 2 99489 97.5121 85.6393 0012811 246.2946 131.6449 15.14316081 04</p> <p>This TLE was fitted to previous Doppler observations of DELFI-PQ done by amateurs.</p>
ESM of determination of transdermal rate of metallic microneedle array through impedance measurements-based numerical check screening algorithm
<p>Microneedle systems have been widely used in health monitoring, painless drug delivery, and medical cosmetology. Although many studies on microneedle materials, structures, and applications have been conducted, the applications of microneedles often suffered from issues of inconsistent penetration rates due to the complication of skin-microneedle interface. In this study, we demonstrated a methodology of determination of transdermal rate of metallic microneedle array through impedance measurements-based numerical check screening algorithm. Metallic sheet microneedle array sensors with different sizes were fabricated to evaluate different transdermal rates. In vitro sensing of hydrogen peroxide confirmed the effect of transdermal rate on the sensing outcomes. A FEM simulation model of a microneedle array revealed the monotonous relation between the transdermal state and test current. Accordingly, two methods were first derived to calculate the transdermal rate from the test current. First, an exact logic method provided the number of unpenetrated tips per sheet, but it required more rigorous testing results. Second, a fuzzy logic method provided an approximate transdermal rate on adjacent areas, being more applicable and robust to errors. Real-time transdermal rate estimation may be essential for improving the performance of microneedle systems, and this study provides various fundaments toward that goal.</p>
Receiver functions from the dense nodal array in the eastern Junggar
<p>Receiver function from the dense nodal array in eastern Junggar. The database is arranged by event, and the number before the first dot of each file name represents the station number.</p> <p>Please cite 'Yang, X., Tian, X., Windley, B. F., Zhao, L., Lu, Y., Yuan, H., & Xiao, W. (2022). The role of multiple trapped oceanic basins in continental growth: seismic evidence from the southern Altaids. Geophysical Research Letters, 49(11), e2022GL098548'.</p>
Data for injection and recovery test performed in the paper "Improved Sensitivity for Space Domain Awareness Observations with the Murchison Widefield Array"
<p>This repo contains the script and the pool of noise images used to perform the injection and recovery test in the paper titled "Improved Sensitivity for Space Domain Awareness Observations with the Murchison Widefield Array"</p>
Optocoder: computational decoding of spatially indexed bead arrays
<p>Spatial transcriptomics technologies that can quantify gene expression in space are transforming contemporary biology research. Some of such methods use spatially barcoded bead arrays that are optically sequenced by a microscopy setup to detect bead barcodes in space which can be consecutively matched to cell barcodes from the respective single cell sequencing experiment. To have good quality barcodes and a high number of barcode matches in space, robust and efficient computational pipelines are needed to process raw microscopy images and call the bases of bead barcodes accurately. Here, we present Optocoder, a computational pipeline that takes raw optical sequencing microscopy images as input and outputs bead barcodes in space. Optocoder efficiently aligns images, detects beads, and corrects for confounding factors of the fluorescence signal such as crosstalk and phasing before base calling. Furthermore, we implement a machine learning pipeline that is trained using the signal from the beads that match to illumina barcodes in order to predict non-matching bead barcodes which can boost up the number of barcode matches. We benchmark Optocoder using data from an in-house spatial transcriptomics platform as well as data from the Slide-seq method and we show that it can efficiently process both datasets with minimal modification.</p> <p>Here, the datasets deposited include the following:</p> <p><strong>optocoder_data:</strong> the imaging and illumina data that are used for Optocoder runs. Folder structure is as following:</p> <ol> <li><strong>imaging:</strong> the images acquired via a two laser microscopy setup during the optical sequencing process . There are four pucks (P1, P2, P3, P4) and for every puck there are 12 images where every image corresponds to one cycle of optical sequencing. Every image is a 6-channel TIFF image.</li> <li><strong>illumina: </strong>cell barcodes from library sequencing that are used for the matching</li> <li><strong>external: </strong>bead optical barcodes for the Slide-Seq and Slide-SeqV2</li> </ol> <p><strong>optocoder_v0.1.1_output: </strong>these are the output files from Optocoder runs for both in-house and Slide-Seq samples , and are used to generate the figures in the publication. Scripts to generate the figures are deposited here: https://github.com/rajewsky-lab/optocoder_scripts</p> <p><strong>run1_optocoder_v0.1.1_config_files: </strong>example config files for the optocoder run files.</p> <p> </p>
Observing polarization patterns in the collective motion of nanomechanical arrays
<p>This file contains the data and code for the paper "Observing polarization patterns in the collective motion of nanomechanical arrays".</p>
Rayleigh wave H/V and phase velocity measurements of "3D Shear Wave Velocity Model of Salt Lake Valley via Rayleigh Wave Ellipticity Across a Temporary Geophone Array"
<p>This file includes Rayleigh wave H/V and phase velocity measurements of the paper "3D Shear Wave Velocity Model of Salt Lake Valley via Rayleigh Wave Ellipticity Across a Temporary Geophone Array" in journal The Seismic Record by Qicheng Zeng, Fan-Chi Lin, and Amir A. Allam. Detailed desciption in README in the zip file.</p>
Receiver functions from a dense nodel array in the core of the eastern Himalayan syntaxis
<p>The zip file contains the receiver functions waveforms we generated. Details can be found in the readme.txt file.</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.