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6
datasets available to search
ShareScore release 0.9.0
Dataset results
6 results for “spectrum sensing”
GMSK Spectrum Sensing for Machine Learning
<p>This file contains measurement results achievied in the following scenario:<br>Single PC with GNU Radio and connected USRP transmits GMSK signal at center frequncy 2100 MHz with different amplifier gain.<br>Single PC with GNU Radio and connected USRP receives signal with central frequency 2100 MHz and bandwidth 40 MHz (treated like 40 x 1 MHz channels). It uses local osciallator offset equal 10 MHz and due to non-linear characteristics of amplifiers and filters in USRP the extreme 12 (on both sides) are removed. However to create (this) dataset only one channel where signal was transmitted were included.<br><br>Data that can be found in the files is stored in CSV format to be easly analyzed in ML models. </p><p>Data collected at during this experiment contains:<br>the first column of average received power in the analyzed channel (in dBm)<br>the second column of autocorrelation function skewness in the analyzed channel (in linear scale)<br>the third column of autocorrelation function kurtosis in the analyzed channel (in linear scale)<br>the fourth column with information about signal transmission (label; 0 - noise, 1 - signal transmitted)</p>
DVB-T Spectrum Sensing for Federated Learning
<p>These files contain measurement results achieved in the following scenario:<br>Rohde&Schwarz SMBV100A signal generator transmits OFDM signal (center frequency 2000.0 MHz) with different amplifier gain.<br>A single PC with GNU Radio and connected USRP receives a signal with a central frequency of 2000 MHz (filtered 8 MHz bandwidth). <br><br>Received is set in six different positions (location of sensors presented on the figure "position.png") - creating 6 files - and collects data to detect the presence of a transmitted signal. Data that can be found in the files is stored in CSV format to be easily analyzed in ML models. </p> <p>Data collected during this experiment contains:<br>- column with average received power in the analyzed channel (in mW)<br>- column with autocorrelation value<br>- column with decision metric (calculated as maximum eigenvalue divided by minimum eigenvalue - look below)<br>- 8 columns with eigenvalues of the Pearson correlation matrix (8 subsequent vectors of 32768 samples)<br>- column with information about signal transmission (label; 0 - noise, 1 - signal transmitted)</p>
data for publication "Benefits of biobased fertilizers as substitutes for synthetic nitrogen fertilizers: Field assessment combining minirhizotron and UAV-based spectrum sensing technologies"
<p>Dataset for the scientific publication "Benefits of biobased fertilizers as substitutes for synthetic nitrogen fertilizers: Field assessment combining minirhizotron and UAV-based spectrum sensing technologies" in the Journal Frontiers of Environmental Science. </p><p><a href="https://doi.org/10.3389/fenvs.2022.988932">https://doi.org/10.3389/fenvs.2022.988932</a></p>
SENSE Theatre Intervention for Children With Autism Spectrum Disorder (ASD)
ClinicalTrials.gov study NCT02276534. IPD Sharing: Not stated. Countries: 1. Publications: 2.
GMSK comb Spectrum Sensing for Machine Learning
<p>These files contains measurement results achievied in the following scenario:<br> Single PC with GNU Radio and connected USRP transmits GMSK comb signal (6x GMSK signal at center frequncies 2097.5 MHz, 2098.5 MHz, 2099.5 MHz, 2100.5 MHz, 2101.5 MHz, and 2102.5 MHz) with different amplifier gain.<br> Single PC with GNU Radio and connected USRP receives signal with central frequency 2100 MHz and bandwidth 40 MHz (treated like 40 x 1 MHz channels). It uses local osciallator offset equal 10 MHz and due to non-linear characteristics of amplifiers and filters in USRP the extreme 12 (on both sides) are removed. However to create (this) dataset only 6 channels where signal was transmitted were included.<br> <br> Received is set in three different possitions (similar height and distance from transmitter) - creating 3 files - and collects data to detect presence of transmitted signal. Data that can be found in the files is stored in CSV format to be easly analyzed in ML models. </p> <p>Data collected at during this experiment contains:<br> six columns of average received power in the analyzed channels (in dBm)<br> six columns of autocorrelation function kurtosis in the analyzed channels (in linear scale)<br> six columns of autocorrelation function skewness in the analyzed channels (in linear scale)<br> one column with information about signal transmission (label; 0 - noise, 1 - signal transmitted)<br> one column with transmitter gain (in dB; set to -100 in case of lack of transmission)</p>
A single genetic locus senses and protects the beneficial oral bacterium Streptococcus sp. A12 from a spectrum of antimicrobial peptides
GEO Series GSE156714. Streptococcus sp. A12. 9 samples. Type: Expression profiling by high throughput sequencing.
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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.