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814 results for “radio”
Measuring intraoperative surgical instrument use with radio-frequency identification
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Data from: How to quantify animal activity from radio-frequency identification (RFID) recordings
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A 6500-year long isotope data and radio carbon ages at treeline from Swampbuggy and Nutella Lakes in central Alaska
Isotope data and radiocarbon ages
Aquarius Radio Frequency Interference (RFI) Ancillary Dataset V1.0
Aquarius ancillary Radio Frequency Interference (RFI) product used in ADPS mission processing contains monthly-averaged Radio Frequency Interference (RFI) data for ascending/descending passes as detected by the Aquarius radiometers and scatterometer. The data is available for ascending (northward) and descending (southward) passes of the satellite only and ascending/descending passes combined.The values stored in this product are the percentage of radiometer and scatterometer measurements identified as corrupted by interference by the RFI detection algorithms [1,2] within each data point, averaged over one month. An additional RFI flag [3] is used to identify locations where the measured brightness temperature over land exceeds the expected limits of surface emissivity. This flag is not used to remove samples from further processing, but, in generating the radiometer RFI data, 100% RFI is assigned to points where this flag is raised. This product can be used to reproduce the RFI maps available on the Aquarius website at University of Maine (https://aquarius.umaine.edu/cgi/gal_radiometer.htm for the radiometer, and https://aquarius.umaine.edu/cgi/gal_scatterometer.htm for the scatterometer), by plotting the variables Rad_RFI_percent_AscDes_AllBeams and Scat_RFI_percent_AscDes_AllBeams on the latitude/longitude grid. Additionally, the user can generate maps by using only a particular beam or only ascending passes, for example. All combinations of beams and ascending/descending passes are possible.This product contains information about RFI, but it is also relevant for the retrieved Sea Surface Salinity (SSS). Over the ocean, the RFI percentage in this product corresponds to the amount of raw measurements discarded due to RFI contamination before SSS retrieval. Therefore, maps of the RFI percentage can give the user an indication of where RFI is more likely to have affected the quality of SSS retrievals, for a particular month, or for a series of months.
Interview with Christopher Clarkson by Miha Zor. Arts Humana. National Radio of Slovenia
<p><strong>The following interview with Christopher Clarkson was recorded during his visit to Ljubljana in 2008. Most of his time was spent leading a workshop in the National Archive of Slovenia, and he also delivered a public lecture in the Department for Art History at the Faculty of Arts, University of Ljubljana. Miha Zor worked as a journalist in the cultural programme of the National Radio of Slovenia at that point and invited Clarkson to be the guest of the programme <em>Ars Humana</em>, where this interview with him – in Slovene translation – aired on 24th of November 2008. </strong></p>
High-Spatiotemporal Resolution Observations of Jupiter Lightning-Induced Radio Pulses Associated With Sferics and Thunderstorms
<p><strong>Abstract:</strong><br> Jupiter lightning discharges produce various kinds of phenomena including radio wave pulses at different frequencies. On 6 April 2019, the Juno Waves instrument captured an extraordinary series of radio pulses at frequencies below 150 kHz on timescales of submilliseconds. Quasi-simultaneous multi-instrument data show that the locations of their magnetic footprints are very close to the locations of UHF sferics recorded by the Juno MWR instrument. Hubble Space Telescope images show that the signature of active convection includes cloud-free clearings, in addition to the convective towers and deep water clouds that were also recognized in previous spacecraft observations of lightning source regions. Furthermore, the detections of 17 VLF/LF radio pulses suggest a minimum duration of lightning processes on the order of submilliseconds. These observations provide new constraints on the physical properties of Jupiter lightning.</p> <p><strong>Note:</strong><br> This paper was published in Geophysical Research Letters (<a href="https://doi.org/10.1029/2020GL088397">https://doi.org/10.1029/2020GL088397</a>). This page provides the digital data for all figures in this paper; please read a readme file in each figure sub-directory.</p>
Measured EVM for Radio-over-MMF
<p>Measured EVMs of an in-vehicle RoF system which bridges 5G NR signals in the air and user terminals in a car cabin. A 28-GHz 5G NR signal generated by an arbitrary waveform generator for an IF signal generation and a signal generator used as a local oscillator is emitted through an amplifier and an transmitter (Tx) antenna. The radio-wave detected by a receiver (Rx) antenna on the roof of the car is converted into an optical signal for RoF transmission. A bend-insensitive MMF (BI-MMF) and a BI-graded-index POF (BI-GI-POF) were used for this demonstration. Fig. 4 shows measured error vector magnitudes (EVMs) for RoF transmission over a 20-m BI-MMF and a 5-m BI-GI-POF, where a reference signal was measured with a link over a 1-m coaxial cable. The receiver sensitivity was -60 dBm. The power penalty in the RoF transmission was less than 3 dB for a 64-QAM (quadrature amplitude modulation) OFDM (orthogonal frequency domain multiplexing) 5G NR signal whose bandwidth is 200 MHz. </p>
Measurements for "Evaluation of Ionospheric Scintillation in GNSS Radio Occultation Measurements and Simulations"
<p>This dataset contains measurements addressed in the manuscript "Evaluation of Ionospheric Scintillation in GNSS Radio Occultation Measurements and Simulations".</p> <p>These files and further measurements from different radio occultation missions are available in: https://cdaac-www.cosmic.ucar.edu (registration required)</p>
Non-detection of radio emissions from Titan lightning by Cassini RPWS
<p>Supplementary material with list of Titan flybies (Excel table) for publication "Non-detection of radio emissions from Titan lightning by Cassini RPWS" by Fischer et al., submitted to JGR-Planets. Additionally, there is a Matlab file which can be run to produce the figures of this paper (titanflybies.dat needs to be in same directory).</p>
Datasets for Constraining the Parameter Regime of Pulsar Radio Emission
<p>The datasets support the figures in the paper <em>Refining pulsar radio emission due to streaming instabilities: Linear theory and PIC simulations </em>(figures <span class="math-tex">\(2\)</span> to <span class="math-tex">\(7\)</span>) and provide additional information discussed in Section <span class="math-tex">\(5\)</span> of the paper. They contain parametric studies investigating a relativistic dispersion relation for an electron-positron pair plasma near a pulsar. The investigated quantities are the maximum growth rates (max_growth_rate) in units of <span class="math-tex">\(10^{-3}\omega_\mathrm{p}\)</span>, an integrated value over the entire range of positive wave growth (int_growth_rate) in units of <span class="math-tex">\(10^{-3}\omega_\mathrm{p}\)</span>, the fractional bandwidth (bandwidth) in units of <span class="math-tex">\(\omega_\mathrm{p}\)</span>, the minimum and maximum values where the growth rate exceeds a threshold value of <span class="math-tex">\(2.8\times10^{-4}/\omega_\mathrm{p}\)</span> - which can be associated to effective wave growth - in units of <span class="math-tex">\(1 / d_\mathrm{e}\)</span> (k_thr_min and k_thr_max) as well as a relative deviation of the range between these two values and the entire range of positive wave growth (rel_dev). All of these parameters are investigated while changing a specific parameter in the dispersion relation (<span class="math-tex">\(\rho_0\)</span>, <span class="math-tex">\(\rho_1\)</span>, simultaneously <span class="math-tex">\(\rho_0\)</span> and <span class="math-tex">\(\rho_1\)</span>, <span class="math-tex">\(\epsilon_\mathrm{n}\)</span> and <span class="math-tex">\(\gamma_\mathrm{b}\)</span>, the latter once with <span class="math-tex">\(\epsilon_\mathrm{n}=10^{-3}\)</span> and once with fixed <span class="math-tex">\(n_0 = n_1 =1\)</span>and variable <span class="math-tex">\(\epsilon_\mathrm{n}=10^{-3}\)</span>). These parameters appear in the titles of the text files which contain the respective dataset.</p>
Observational data obtained with the use of the wide band radio interferometer
<p>CSV file in attachment contains two columns: "Time counted from the return stroke, ms" and "ADC output, V". This experimental data was received in the Nizhny Novgorod region of Russian Federation on May 15, 2019 with the use of the wide band radio interferometer. It can be used to obtain a waveform of the radio signal provided by the registered thundercloud radioactivity. </p>
Data from: Assessing the alignment of sexual and natural selection using radio-mutagenized seed beetles
A major unsolved question in evolutionary biology concerns the relationship between natural and sexual selection. Sexual selection might augment natural selection, e.g. if mutations that harm female fecundity also reduce male mating success. Conversely, sexual selection might favor traits that impair naturally-selected fitness components. We induced detrimental mutations in Callosobruchus maculatus beetles using X-ray irradiation, and then experimentally measured the effect of pre-copulatory sexual selection on offspring number and survival rate. Sexual selection treatment had a negative effect on egg-to-adult survivorship, though the number of progeny reaching adulthood was unaffected, perhaps because eggs and juveniles that failed to develop lessened competition on the survivors. We hypothesize that the negative effect of sexual selection arose because sexually competitive males transmitted a smaller nuptial gift, or carried alleles that conferred reduced survival. Although we found no evidence that sexual selection on males can purge alleles that are detrimental to naturally-selected fitness components, such benefits might exist in other environmental or genetic contexts.
Data from: An active-radio-frequency-identification system capable of identifying co-locations and social-structure: validation with a wild free-ranging animal
Behavioural events that are important for understanding sociobiology and movement ecology are often rare, transient and localised, but can occur at spatially distant sites e.g. territorial incursions and co-locating individuals. Existing animal tracking technologies, capable of detecting such events, are limited by one or more of: battery life; data resolution; location accuracy; data security; ability to co-locate individuals both spatially and temporally. Technology that at least partly resolves these limitations would be advantageous. European badgers (Meles meles L.), present a challenging test-bed, with extra-group paternity (apparent from genotyping) contradicting established views on rigid group territoriality with little social-group mixing. In a proof of concept study we assess the utility of a fully automated active-radio-frequency-identification (aRFID) system combining badger-borne aRFID-tags with static, wirelessly-networked, aRFID-detector base-stations to record badger co-locations at setts (burrows) and near notional border latrines. We summarise the time badgers spent co-locating within and between social-groups, applying network analysis to provide evidence of co-location based community structure, at both these scales. The aRFID system co-located animals within 31.5 m (adjustable) of base-stations. Efficient radio transmission between aRFIDs and base-stations enables a 20 g tag to last for 2–5 years (depending on transmission interval). Data security was high (data stored off tag), with remote access capability. Badgers spent most co-location time with members of their own social-groups at setts; remaining co-location time was divided evenly between intra- and inter-social-group co-locations near latrines and inter-social-group co-locations at setts. Network analysis showed that 20–100% of tracked badgers engaged in inter-social-group mixing per week, with evidence of trans-border super-groups, that is, badgers frequently transgressed notional territorial borders. aRFID occupies a distinct niche amongst established tracking technologies. We validated the utility of aRFID to identify co-locations, social-structure and inter-group mixing within a wild badger population, leading us to refute the conventional view that badgers (social-groups) are territorial and to question management strategies, for controlling bovine TB, based on this model. Ultimately aRFID proved a versatile system capable of identifying social-structure at the landscape scale, operating for years and suitable for use with a range of species.
Data from: Causes and characteristics of reverse bird migration: an analysis based on radar, radio tracking and ringing at Falsterbo, Sweden
That birds migrate in the reverse direction of the expected is a phenomenon of regular occurrence which has been observed at many sites. Here we use three different methods; tracking radar, radiotelemetry and ringing, to characterize the flights of these reverse migrants and investigate possible causes of reverse migration of nocturnally migrating passerines during autumn migration at Falsterbo peninsula, Sweden. Using these different methods we investigated both internal factors, such as age and fuel load, and external factors such as weather variables, competition and predation risk. Birds flying in the reverse direction were more likely to be lean and to be juveniles. Reverse migration was also more common with overcast skies and winds with north and east components. We did not find any effect of temperature, visibility, number of migrating sparrowhawks, or the total number of ringed birds at the site on the day of departure. We found that reverse migration is characterized by slower flight speeds (airspeed) at high altitudes and that it takes place later in the night than forward migration.
Old Radio
📍 [Bondi Junction, NSW](https://scaniver.se/L-33.89119,151.24582) Source: Objaverse 1.0 / Sketchfab
Radio collection
Some of Grampy's Radios. Source: Objaverse 1.0 / Sketchfab
Time Domain Transient Radio-Frequency Interference
<p>A labeled dataset of time-domain recordings of nine different transient RFI sources. Please see our journal paper (doi: 10.1002/2016RS006227) for more details.</p> <p> </p>
Fig. 76. Normal Q-Q in Indoor Radio Map localization WiFi fingerprint datasets
Fig. 76. Normal Q-Q plot of standardized body length (SBL) for selected Texas Selenophorus species.
The propagation paths of GPS radio signals over the tropical ocean from 16–18 January 2022
<p>This dataset is the propagation paths of RO radio signals over the tropical ocean from 16–18 January 2022, simulated using the 2D non-local observation operator. The ray integration uses a variable step size of 2 km or smaller. The vertical interval is 100 m. The data format is HDF5. Variables include the 2D simulation bending angle, the COSMIC-2 retrieval bending angle, geometric height, impact heights, the vertical gradient of refractivity, latitude, longitude, and observation time of the RO profile.</p>
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>
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.