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814 results for “radio”
Device-Free Localization & Identification Using Sub-GHz Passive Radio Mapping
<p>This dataset contains signal strength measurements from radio frequency communication links formed between 15 transceivers which were installed in a ~42 m<sup>2</sup> office environment. These measurements were performed when 1 of 6 possible single stationary human individuals was present in the environment at 1 of 15 possible locations. Communication occurred on both the 433 MHz & 868 MHz frequency bands using the DASH7 Alliance Protocol (D7A).</p>
Juno Radio Occultation Data Sets
<p>These files report data products derived from Juno radio occultations of the Io plasma torus. Juno has used two different experimental configurations to conduct radio occultation observations of the Io plasma torus. A configuration with X-band uplink coherently driving both X-band downlink and Ka-band downlink was used on Perijoves 1 and 13. In this document, this is described as the (X/X, X/Ka) configuration. It is described in Phipps et al. 2018. A configuration with X-band uplink coherently driving X-band downlink and Ka-band coherently driving Ka-band downlink was used on Perijoves 3, 6, 8, 10, 11, 14, and 15. In this document, this is described as the (X/X, Ka/Ka) configuration. It is described in Phipps et al. 2019.The work of D. Buccino, M. Parisi and O. Yang was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Government sponsorship acknowledged. This work was supported in part by NASA award 80NSSC19K0818.</p>
radio-astro-tools tutorial data
<p>These data are used in the tutorials for <a href="http://radio-astro-tools.github.io/">radio-astro-tools</a>, an organization that hosts a number of community-developed codes pertinent to the analysis of long-wavelength astronomical data in the radio, millimeter, and far-infrared regime.</p> <p> </p> <p>The current data set is a 12CO(2-1) spectral-line data cube of M33 taken with ALMA's 7-m ACA array (Project ID 2019.1.01182.S).</p>
Locating large insects using automated VHF radio telemetry with a multi-antennae array
<p>1. We describe an automated radio telemetry system (ARTS) designed for estimating the location of 0.50g butterflies that was constructed with commercially available materials. Previously described systems were not designed to estimate fine-scale locations of large insects within approximately 200m$^2$ study areas.</p> <p>2. The ARTS consists of four receiving stations. Each receiving station has four 3-element, directional Yagi antennae (separated by 60\si{\degree}) connected to an automated receiver that records detected power sequentially from each antenna. To develop and evaluate the ARTS performance, four receiving stations were installed in the corners of 4-ha and 6.25-ha square fields with varying heights of vegetative cover. The location of a 0.22g transmitter was estimated with a statistical method implementing both distance- and angle-power relationships. Calibrated model parameters were based on power detected from transmitters at known locations. Using independently collected data, model performance was evaluated based on estimated locations of a georeferenced stationary transmitter, a moving transmitter with a known georeferenced path, and a transmitter attached to a monarch butterfly (\textit{Danaus plexippus}). Estimated locations were calculated as frequently as every 5 seconds, which is at least 12 times greater than the sampling frequency previously reported for tracking insects.</p> <p>3. When sufficient power data was received, the median estimated locations of a transmitter attached to an investigator's hat were $<$16m from the true location. The median effective radius of the 95\% confidence ellipse was 18.3m for stationary targets and 15.9m for a moving transmitter. Greater error in location estimation was expected when the transmitter was attached to a monarch butterfly due to interference from vegetation and variability in antenna orientation and transmitter height. As such, the median distance between the estimated and true locations was 72m. After applying a correction for the effect of vegetation, median location error was reduced by 12m.</p> <p>4. While our ARTS has likely reached the limit of current technology, the system is still a substantial methodological advancement for locating butterflies. Our efforts should provide a benchmark as technology improves.</p>
Radio-Frequency Control and Video Signal Recordings of Drones
<p>This database contains <a href="https://en.wikipedia.org/wiki/In-phase_and_quadrature_components">IQ-baseband</a> recordings of 10 consumer/prosumer drones’ radio-control and video signals in an interleaved (I1 Q1 I2 Q2 I3 Q3 ...) 16-bit signed integer, little-endian, format. The drones were recorded at 2.44 GHz and 5.8 GHz center frequencies (with the exception of Yuneec Typhoon H at 5.7 GHz) if the drone supported both. In the dataset, these center frequencies were denoted with 2G and 5G in the filename, respectively. The sampling frequency was 120 MHz at 2.44 GHz and 200 MHz at 5.8 GHz. The recording length at 2.44 GHz was 120e6 samples, which corresponds to a recording period of 1 s and 100e6 samples at 5.8 GHz, which corresponds to a recording period of 0.5 s. </p> <p>The measurements were conducted in the isolated anechoic chamber of Tampere University, where the drones were on a turntable. The controller was next to the drone, and the measurement antenna was at the opposite side of the chamber. The published data are chosen in a way that a complete hopping sequence of the control signal is captured in each single recording, if possible. There were a few drones, for which two separate recordings were provided; these recordings are not consecutive, but it should be possible to combine them to extract the hopping sequence. Some drones also did not have a discernible pattern, or it was too long for our recording period. </p> <p>The recordings of the Parrot Mambo are separated into two files, since it was not possible to record a clean signal with simultaneously active video and control links. </p> <p>The following drone models are included in the first version of the database: </p> <ul> <li>DJI Inspire 2 (2.44 and 5.8 GHz) </li> <li>DJI Matrice 100 (2.44 GHz) </li> <li>DJI Matrice 210 (2.44 and 5.8 GHz) </li> <li>DJI Mavic Mini (2.44 GHz) </li> <li>DJI Mavic Pro (2.44 GHz) </li> <li>DJI Phantom 4 (2.44 GHz) </li> <li>DJI Phantom 4 Pro Plus (2.44 and 5.8 GHz) </li> <li>Parrot Disco (2.44 GHz) </li> <li>Parrot Mambo (2.44 GHz) </li> <li>Yuneec Typhoon H (2.44 and 5.7 GHz) </li> </ul> <p>For further information contact Jaakko Marin.</p>
Echo-CGC: A Communication-Efficient Byzantine-tolerant Distributed Machine Learning Algorithm in Single-Hop Radio Network (video)
Full video presentation of the paper: Echo-CGC: A Communication-Efficient Byzantine-tolerant Distributed Machine Learning Algorithm in Single-Hop Radio Network.<br><br>Appears in Session 2 of the 24th International Conference on Principles of Distributed Systems OPODIS 2020<br><a href="https://opodis2020.unistra.fr">https://opodis2020.unistra.fr</a>
Broadcasting Competitively against Adaptive Adversary in Multi-channel Radio Networks
Full video presentation of the paper: Broadcasting Competitively against Adaptive Adversary in Multi-channel Radio Networks.<br><br>Appears in Session 1 of the 24th International Conference on Principles of Distributed Systems OPODIS 2020<br><a href="https://opodis2020.unistra.fr">https://opodis2020.unistra.fr</a>
Radio-tracking reveals insight into survival and dynamic habitat selection of fledgling Cerulean Warblers
<p>The Cerulean Warbler is a declining Nearctic-Neotropical migrant species of concern that breeds in hardwood forests of the eastern United States and Canada. While much knowledge has been gained about the nesting period of this canopy species, little is known about the post-fledging period. During the 2014 and 2015 breeding seasons, after locating and monitoring nests within a matrix of habitat conditions created by various forest management strategies in NW Pennsylvania, USA, we captured fledglings and used radio telemetry to estimate survival, track movements, and examine habitat selection during their dependent stage. Mortality occurred in 10 of 20 fledglings (50%) during this period, with 8 deaths occurring within three days post-fledging. Most birds left the parental territory within a week of fledging and the maximum distance moved from the nest after 5 d was 462 m; after 14 d it was 1.3 km; and after 24 d it was, somewhat unexpectedly, 4.4 km. Fledglings used a diversity of habitat and management types, including clear-cut patches, 25-yr-old regenerating clear-cuts, shelterwood cuts, and mature undisturbed forest. Over the entire tracking period (up to 35 d), fledglings selected for habitats with greater midstory cover, lower basal area, and lesser sapling cover (when compared with paired, random locations). However, lesser sapling cover may also be correlated with decreased survival for birds that come down from the canopy immediately upon fledging. Our results suggest that a diversity of management types, including some quite different from those that produce habitat typically selected by adults, and maintaining large blocks of contiguous forest would benefit fledgling Cerulean Warblers. </p>
Data from: How to quantify animal activity from radio-frequency identification (RFID) recordings
Automated animal monitoring via radio-frequency identification (RFID) technology allows efficient and extensive data sampling of individual activity levels, and is therefore commonly used for ecological research. However, processing RFID data is still a largely unresolved problem, which potentially leads to inaccurate estimates for behavioural activity. One of the major challenges during data processing is to isolate independent behavioural actions from a set of superfluous, non-independent detections. As a case study, individual blue tits (Cyanistes caeruleus) were simultaneously monitored during reproduction with both video recordings and RFID technology. We demonstrated how RFID data can be processed based on the time spent in- and outside a nest box. We then validated the number and timing of nest visits obtained from the processed RFID dataset by calibration against video recordings. The video observations revealed a limited overlap between the time spent in- and outside the nest box, with the least overlap at 23 seconds for both sexes. We then isolated exact arrival times from redundant RFID registrations by erasing all successive registrations within 23 seconds after the preceding registration. After aligning the processed RFID data with the corresponding video recordings, we observed a high accuracy in three behavioural estimates of parental care (individual nest visit rates, within-pair alternation and synchronization of nest visits). We provide a clear guideline for future studies that aim to implement RFID technology in their research. We argue that our suggested RFID data processing procedure improves the precision of behavioural estimates, despite some inevitable drawbacks inherent to the technology. Our method is useful, not only for other cavity breeding birds, but for a wide range of (in)vertebrate species that are large enough to be fitted with a tag and that regularly pass near or through a fixed antenna.
Data from: Accounting for tagging-to-harvest mortality in a Brownie tag-recovery model by incorporating radio-telemetry data
The Brownie tag-recovery model is useful for estimating harvest rates but assumes all tagged individuals survive to the first hunting season; otherwise, mortality between time of tagging and the hunting season will cause the Brownie estimator to be negatively biased. Alternatively, fitting animals with radio transmitters can be used to accurately estimate harvest rate but may be more costly. We developed a joint model to estimate harvest and annual survival rates that combines known-fate data from animals fitted with transmitters to estimate the probability of surviving the period from capture to the first hunting season, and data from reward-tagged animals in a Brownie tag-recovery model. We evaluated bias and precision of the joint estimator, and how to optimally allocate effort between animals fitted with radio transmitters and inexpensive ear tags or leg bands. Tagging-to-harvest survival rates from >20 individuals with radio transmitters combined with 50–100 reward tags resulted in an unbiased and precise estimator of harvest rates. In addition, the joint model can test whether transmitters affect an individual's probability of being harvested. We illustrate application of the model using data from wild turkey, Meleagris gallapavo, to estimate harvest rates, and data from white-tailed deer, Odocoileus virginianus, to evaluate whether the presence of a visible radio transmitter is related to the probability of a deer being harvested. The joint known-fate tag-recovery model eliminates the requirement to capture and mark animals immediately prior to the hunting season to obtain accurate and precise estimates of harvest rate. In addition, the joint model can assess whether marking animals with radio transmitters affects the individual's probability of being harvested, caused by hunter selectivity or changes in a marked animal's behavior.
Data from: Context-dependent effects of radio transmitter attachment on a small passerine
Biotelemetry devices provide unprecedented insights into the spatial behaviour and ecology of many animals. Quantifying the potential effects of attaching such devices to animals is essential, but certain effects may appear only in specific or particularly stressful contexts. Here we analyse the effects of radio transmitter attachment on great tits Parus major tagged over three environmentally dissimilar years, as part of a project studying social- and communication networks. When we radio-tagged birds before breeding, only those tagged in the coldest spring tended to be less likely to breed than control birds. Breeding probability was independent of relative transmitter weight (between 5 and 8% bodyweight). When we radio-tagged both parents during nestling provisioning (transmitter weight between 6 and 8%), tagged parents were more likely than control parents to desert their brood in two out of three years, while in the other year no tagged parents deserted. Tagged parents provisioning larger broods were most likely to desert, especially during lower average temperatures. Video analyses did not reveal any transmitter effects on provisioning behaviour of parents in the year with no desertion. We conclude that radio tagging before breeding did not lead to negative effects, regardless of transmitter weight, but that decisions about radio-tagging both parents during nestling provisioning need to be made with exceptional care, taking both environmental context and transmitter weight into account. Reporting results from long-term radio-tracking studies comprising several environmentally variable years is crucial to understand and predict potential transmitter effects and maximise the tremendous potential of biotelemetry.
Radio Aparat EL
3D Creator Xperia XZ Premium Source: Objaverse 1.0 / Sketchfab
VINTAGE RETRO RADIO
I did this work to improve my skills. Source: Objaverse 1.0 / Sketchfab
Facade of 'Museo de la Radio' bar in Madrid
The original facade of the 'Museo de la Radio' bar in Madrid's Rastro neighbourhood was decorated in 2009by the street art artist E1000, who also decorated the inner walls and the toilets. Other artists painted other details afterwards. Nowaday, in 2019, the building was bought by a vulture fund and the murals are in danger of destruction and the neighbours in danger of eviction. References: E1000 en el Museo de la Radio. [in Spanish] http://www.escritoenlapared.com/2009/08/e1000-en-el-museo-de-la-radio.html Lavapiés se organiza contra la especulación y los pisos turísticos: "Hay una impunidad tremenda" [in Spanish]https://www.eldiario.es/politica/lavapies-especulacion-turisticos-protege-inhumanidad_1_1493064.html Source: Objaverse 1.0 / Sketchfab
Laitse Radio Station
Source: Objaverse 1.0 / Sketchfab
Radio
Source: Objaverse 1.0 / Sketchfab
What distinguishes the host galaxies of radio-loud and radio-quiet AGNs?
<p>Data tables with the physical parameters for the RL and RQ samples defined in the paper.</p>
RGC-Bent: A Novel Dataset for Bent Radio Galaxy Classification
<p>RGC-BENT is a new machine learning dataset for classifying bent radioactive galactic nuclei (AGN) into Narrow-Angle Tail (NAT) and Wide-Angle Tail (WAT) categories. Derived from a recognized radio astronomy survey, this dataset provides images and benchmark results from state-of-the-art deep learning models. <strong>Detailed data processing steps are described in the accompanying publication.</strong> This dataset aims to advance research in bent AGN classification.</p>
Figs. 59–71 in Indoor Radio Map localization WiFi fingerprint datasets
Figs. 59–71. Habitus images, SEMs, habitat, and genitalia illustrations of Selenophorus species. 59–63) S. striatopunctatus dorsal and ventral aspects, SEM images of pronotum, elytra, and elytral striae showing setigerous puncture; 64–68) S. elytrostictus, new species, dorsal and ventral aspects, SEM images of pronotum, elytra, and elytral striae showing setigerous puncture; 69) Laguna Atascosa NWR, loma-freshwater margin; 70–71) S. elytrostictus, new species, male median lobe left lateral and dorsal views.
Figs. 72–75 in Indoor Radio Map localization WiFi fingerprint datasets
Figs. 72–75. Habitus images of Selenophorus and related genera, dorsal aspect: 72) S. maritimus; 73) Athrostictus punctatulus; 74) Discoderus discoderoides. 75) Sabal Palm Sanctuary, old-growth "core".
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.