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4 results for “Passive Sensing”
Data for Non-Equilibrium Sensing of Volatile Compounds Using Active and Passive Analyte Delivery
<blockquote> <p>Version 2: Added missing files to <code>sniffing_data.zip</code></p> </blockquote> <p>See GitHub repository for data processing functions and examples: <a href="https://github.com/soerenbrandt/sniffing-sensor">https://github.com/soerenbrandt/sniffing-sensor</a></p> <p><strong>Abstract</strong>:<br>Sensor technologies have allowed us to outperform the human senses of sight, hearing, and touch; however, the development of artificial noses is significantly behind their biological counterparts. This is largely due to the complexity of natural olfaction, as it incorporates complex fluid dynamics within the nasal anatomy together with the response patterns of hundreds to thousands of unique molecular-scale receptors for odor interpretation. We designed a sensing approach to identify volatiles that exploits time-dependent information from a single sensor (here, the reflectance spectra from a mesoporous one-dimensional photonic crystal) by augmenting and accentuating differences in the non-equilibrium mass-transport dynamics of vapors stemming from their distinct physicochemical properties, thus obviating the need for a large sensor array. By training a machine learning algorithm on the sensor output, we clearly identify polar and nonpolar volatile organic compounds, determine the mixing ratios of binary mixtures, and accurately predict the boiling point, flash point, vapor pressure, and viscosity of several volatile liquids within those used for training as well as compounds unknown to the model. We further implement a bioinspired active sniffing approach, in which the fluid dynamics and patterns of analyte delivery are controlled, enabling an additional modality of differentiation and reducing the duration of data collection and analysis to seconds. These results outline a strategy to build accurate and rapid artificial noses for volatile liquids that can provide useful information on chemicals such as their composition and properties, and can be applied in a variety of fields, including disease diagnosis, hazardous waste management, and healthy building monitoring.</p>
Arctic Sea Ice Type Products Based on Active and Passive Microwave Remote Sensing (2002-2021)
<p>Based on FY-3 MWRI and other microwave radiometer and scatterometer data, this dataset explores the distribution of Arctic sea ice types from 2002 to 2021 using the K-means clustering method. Spatial and temporal resolutions are 12.5 km and 1 day, respectively. The dataset is of integer type, where 0 represents open water, 1 represents first-year ice, 2 represents multi-year ice, 3 represents land, and 4 represents data gaps. The data is stored in .tiff format.</p>
Passive Sensing Technology for Lapse Measurement
ClinicalTrials.gov study NCT03739151. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
On the impact of the antenna radiation patterns in passive radio sensing: dataset
<p>The measurement sessions took place in a hall with size 6.15 m × 14.45 m and floor-ceiling height equal to 3.35 m. TX and RX nodes are spaced d=4.00 m apart, while the LOS is horizontally placed at h=0.99 m from the floor.</p> <p>The received power P is measured using a real-time spectrum analyzer (SA) with a built-in tracking generator. The SA tracks N=401 frequency points equally spaced with Δf=1.25 MHz. Further settings are detailed in the paper:</p> <p><a title="Deposited paper " href="https://arxiv.org/abs/2405.09352" target="_blank" rel="noopener">https://arxiv.org/abs/2405.09352</a></p> <p>1) dir_dir_measurements.csv: [401x75]: received power measurements [dBm] using antenna with a directional pattern (described in the paper) and target on each of the 75 positions. These are ordered following the enumeration of the scenario scheme (see Figure 2 in the paper).</p> <p>2) dir_dir_measurements.csv: [401x2]: free space received power measurements (before and after the experiment) [dBm]</p> <p>3) frequency_points.csv [401x1]: observed 401 frequencies from 2.149 GHz to 2.649 GHz (resolution BW 400kHz, 1.2MHz freq. spacing)</p> <p>4) omni_omni_measurements.csv: [401x75]: received power measurements [dBm] with omnidirectional antenna and target on each of the 75 positions. These are ordered following the enumeration of the scenario scheme (see Figure 2 in the paper).</p> <p>5) omni_omni_measurements.csv: [401x2]: free space received power measurements (before and after the experiment) [dBm]</p> <p>6) average_radio_map_generation_example.m: matlab script example (generate radio maps with omnidirectional and directional antennas)</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.